ArticlePDF Available

Behavioral Integrity for Safety, Priority of Safety, Psychological Safety, and Patient Safety: A Team-Level Study

Authors:

Abstract

This article clarifies how leader behavioral integrity for safety helps solve follower's double bind between adhering to safety protocols and speaking up about mistakes against protocols. Path modeling of survey data in 54 nursing teams showed that head nurse behavioral integrity for safety positively relates to both team priority of safety and psychological safety. In turn, team priority of safety and team psychological safety were, respectively, negatively and positively related with the number of treatment errors that were reported to head nurses. We further demonstrated an interaction effect between team priority of safety and psychological safety on reported errors such that the relationship between team priority of safety and the number of errors was stronger for higher levels of team psychological safety. Finally, we showed that both team priority of safety and team psychological safety mediated the relationship between leader behavioral integrity for safety and reported treatment errors. These results suggest that although adhering to safety protocols and admitting mistakes against those protocols show opposite relations to reported treatment errors, both are important to improving patient safety and both are fostered by leaders who walk their safety talk. (PsycINFO Database Record (c) 2012 APA, all rights reserved).
Running head: LEADER BEHAVIORAL INTEGRITY FOR SAFETY 1
Behavioral Integrity for Safety, Priority of Safety, Psychological Safety, and Patient Safety:
A Team-Level Study
Hannes Leroy
University of Calgary, Haskayne School of Business
Bart Dierynck
Tilburg University
Frederik Anseel
Ghent University
Tony Simons
Cornell University
Jonathon R. B. Halbesleben
The University of Alabama
Deirdre McCaughey
The Pennsylvania State University
Grant T. Savage
University of Alabama at Birmingham
Luc Sels
University of Leuven
In press, Journal of Applied Psychology, June 2012
Do not quote without permission of author; original manuscript (unproofed) for publication.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 1
Abstract
This paper clarifies how leader behavioral integrity for safety helps solve follower’s double
bind between adhering to safety protocols and speaking up about mistakes against protocols.
Path modelling of survey data in 54 nursing teams showed that head nurse behavioral
integrity for safety positively relates to both team priority of safety and psychological safety.
In turn, team priority of safety and team psychological safety were, respectively, negatively
and positively related with the number of treatment errors that were reported to head nurses.
We further demonstrated an interaction effect between team priority of safety and
psychological safety on reported errors such that the relationship between team priority of
safety and the number of errors was stronger for higher levels of team psychological safety.
Finally, we showed that both team priority of safety and team psychological safety mediated
the relationship between leader behavioral integrity for safety and reported treatment errors.
These results suggest that while adhering to safety protocols and admitting mistakes against
those protocols show opposite relations to reported treatment errors, both are important to
improving patient safety and both are fostered by leaders who walk their safety talk.
Keywords: Behavioral integrity, priority of safety, psychological safety, treatment errors,
safety climate, leadership.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 2
Behavioral Integrity for Safety, Priority of Safety, Psychological Safety, and Patient Safety:
A Team-Level Study
Employee reporting of errors is considered to be an indicator of a healthy functioning
organization (Argyris, 1977). Many leaders, however, experience problems in empowering
employees to report errors. In many cases empowerment is an emperor in new clothes
(Argyris, 1998), with leaders advocating strict adherence to company protocols, thus
scrutinously avoiding errors, while at the same time hoping for the reporting of errors against
those same company protocols (Kerr, 1975). As a result, employees may experience a double
bind between these seemingly conflicting behaviors (Argyris, 1977, p. 117): “When
employees adhere to a norm that says "hide errors," they know they are violating another
norm that says "reveal errors." The employees are thus in a double bind”.
This double bind and the role of leaders herein have been shown to be especially
salient in the context of hospitals and patient safety. Katz-Navon, Naveh, and Stern (2009),
for instance, empirically demonstrate that employees may experience a conflict between the
strong enforcement of safety procedures on the one hand and the reporting and learning from
errors on the other hand. Despite this conflict, prior research indicates that a climate of safety
requires both prioritizing existing safety protocols and constructive responses to errors
(Hofmann & Mark, 2006). Prior research also points to the importance of leadership to foster
team priority of safety (Katz-Navon, Naveh, & Stern., 2005; Zohar, 2000, 2002; Zohar &
Luria, 2004; Zohar & Luria, 2010; Zohar & Tenne-Gazit, 2008) as well as team
psychological safety (Edmondson, Edmondson, 1999, 2003, 2004; Nembhard & Edmondson,
2006). However, to date empirical research has remained surprisingly silent about which
leader characteristics may help reconcile the seemingly conflicting demands of closely
adhering to safety protocols and reporting errors against those safety protocols.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 3
Early theorists suggested that leaders can help alleviate the double bind by
communicating more clearly on what they truly value (Bateson, Jackson, Haley, &
Weakland, 1956; Argyris, 1977). More recently, Zohar (2010) highlighted the importance of
leader behavioral integrity for safety when it comes to alleviating ambiguities regarding
safety. Behavioral integrity for safety reflects the extent to which leaders “walk the talk” or
“practice what they preach” concerning safety (Simons, 2002) and is proposed to influence
safety outcomes through two mechanisms (Simons, 2008). First, leader follow-through on
safety values sends unequivocal messages that safety is valued, thus fostering a high team
priority for safety (Zohar, 2010). Second, alignment between words and deeds signals that the
leader’s concern for safety is genuine and trustworthy, thus fostering high psychological
safety within the workteam (Edmondson, 2004). In turn, by fostering both aspects of safety
climate simultaneously, leaders who display behavioral integrity for safety will promote
overall patient safety because their clarity of communication not only enforces safety
protocols but also offers a safe haven where followers feel safe to speak up about errors
against those safety protocols.
Thus, whereas previous research has predominantly looked at how different aspects
of safety climate influence patient safety outcomes (Hofmann & Mark, 2006; Katz-Navon et
al., 2005; Katz-Navon et al., 2009), we aim to extend this line of research by increasing our
understanding of the unique role leaders play in fostering distinct aspects of safety climate
and thereby improving patient safety outcomes. More specifically, we use theory and
research on behavioral integrity (Simons, 2002, 2008) to posit that behavioral integrity for
safety fosters patient safety by alleviating the double bind that followers may experience
between adhering to safety protocols on the one hand and reporting errors against those safety
protocols on the other hand.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 4
Development of Hypotheses
Behavioral Integrity for Safety, Priority of Safety, and Psychological Safety
Simons (1999) argued that leader behavioral integrity is especially important in a work
environment that poses high and diverse demands on employees. When leaders do not
follow-up on the values they espouse, employees receive ambiguous messages about how the
leader values specific behaviors in comparison to other pressing role demands. In support of
this claim, Dineen, Lewicki, and Tomlinson (2006) found that supervisory guidance had a
positive relationship with organizational citizenship behaviors when behavioral integrity was
high and a positive relationship with deviant behavior when behavioral integrity was low.
Supervisory guidance regarding safety has previously been investigated as managerial
safety expectations and safety actions (Zohar, 2000). Recently, Zohar (2010) suggested that
alignment between espoused and enacted safety values is especially important for fostering a
high priority of safety in the work unit. The alignment between words and deeds sends clear
signals to the team about the value of safety in comparison to other pressing role demands.
Hypothesis 1. Leader behavioral integrity for safety positively relates to team priority of
safety.
Simons (2002) argued that keeping one’s word makes an individual more predictable
and is thus a key element to signaling that one is a reliable and trustworthy individual. In
support of this idea, Simons, Friedman, Liu, and McLean Parks (2007) found that perceptions
of leader behavioral integrity are positively related to employees’ trust in leaders. Trust in
the leader is important as it reflects employee’s willingness to be vulnerable based on the
expectation that leaders will not abuse this vulnerability (Rousseau, Sitkin, Burt, & Camerer,
1998). As an example, risky but valuable learning and interpersonal behaviors such as
admitting personal mistakeswhich make the employee vulnerable to supervisory
disciplineare less likely to be abused by a trustworthy leader (Edmondson, 1999).
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 5
Edmondson (2004) further advocated that part of creating a psychologically safe
working environment concerns establishing clear boundaries about which behaviors are and
are not valued. In following through on espoused safety values, leaders that display
behavioral integrity for safety establish such clear boundaries (Zohar & Luria, 2010).
Furthermore, when leaders practice the safety values they preach, team members perceive
their leader’s concern for safety as more genuine and therefore are more likely to speak up
about safety issues because they believe their leader values these discussions.
Hypothesis 2. Leader behavioral integrity for safety positively relates to team psychological
safety.
Priority of Safety, Psychological Safety, and Patient Safety
In this paper we conceptualize patient safety as a lack of errors in the treatment of
patients (Katz-Navon et al., 2005; Naveh, Katz-Navon, & Stern, 2005). Previous research has
demonstrated that a positive safety climate consists of both adherence to safety protocols and
constructive responses to errors (Hofmann & Mark, 2006). Katz-Navon et al. (2009) further
disentangle the safety climate dimensions of priority of safety and psychological safety, as
both may have unique and contrasting effects on the number of reported treatment errors. On
the one hand, team priority of safety will relate negatively to the number of reported
treatment errors because team members who prioritize existing safety protocols are more
mindful of safety procedures in the execution of their work (Katz-Navon et al., 2005; Naveh
et al., 2005). Team psychological safety, on the other hand, will relate positively to the
number of reported treatment errors as team members who feel they are in a psychologically
safe environment are more willing to honestly report the number of errors that were
experienced (Edmondson, 2004; Tucker & Edmondson, 2003).
Hypothesis 3. Team priority of safety negatively relates to reported treatment errors.
Hypothesis 4. Team psychological safety positively relates to reported treatment errors.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 6
While both priority of safety and psychological safety have reverse relationships with
reported treatment errors (Katz-Navon et al., 2009), both are necessary ingredients for an
overall safety climate (Hoffman & Mark, 2006). A higher priority for safety protocols
without the willingness to openly admit errors against safety protocols may reflect a fear of
reprimand (e.g. from the leader). In contrast, team priority of safety will reflect a more
genuine concern for existing safety protocols when team members are also willing to report
and learn from their mistakes (Hoffman & Mark, 2006). We posit that team psychological
safety will strengthen the negative relationship between team priority of safety and the
number of reported treatment errors.
Hypothesis 5. Team priority of safety is more negatively related to reported treatment errors
for higher levels of team psychological safety.
Behavioral Integrity, Priority of Safety, Psychological Safety, and Patient Safety
Extending earlier reasoning, we further posit that leader behavioral integrity for safety
will be positively related to reported treatment errors through team priority of safety and team
psychological safety. Simons (2008) proposed that leader behavioral integrity influences
follower outcomes through two complementary mechanisms: it builds trust but it also
clarifies intended direction as the leader sends consistent messages through both words and
actions. Both clear procedures and constructive responses to errors have been shown to
reduce the number of reported treatment errors (Hoffman & Mark, 2006). Similarly, in this
study, we argue that both team psychological safety (a trusting and safe environment) and
team priority of safety (clear directions regarding safety) are important to understand the
effects of leader behavioral integrity for safety on the number of reported treatment errors.
Hypothesis 6. Team priority of safety and team psychological safety mediate the effect of
leader behavioral integrity for safety on reported treatment errors.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 7
We argued that team priority of safety mediates the effects of leader behavioral
integrity for safety on reported treatment errors and that team psychological safety
strengthens the relationship between team priority of safety and reported treatment errors. We
further posit that team psychological safety will also moderate the indirect relationship
between behavioral integrity for safety and reported treatment errors through team priority of
safety. This mediated moderation effect suggests that the indirect effect of leader behavioral
integrity for safety on reported treatment errors is further strengthened by those aspects of
team psychological safety that are not linked to leader consistency of communication (e.g.
leaders actively inviting employee input).
Hypothesis 7. Team psychological safety moderates the effect of leader behavioral integrity
for safety on reported treatment errors through team priority of safety resulting in lower
reported treatment errors when team psychological safety is low, but less so when it is high.
Integrative Model
Figure 1 summarizes the hypothesized relationships of our research model. It suggests
that leader behavioral integrity for safety influences reported treatment errors through two
mechanisms: team priority of safety and team psychological safety. Furthermore, it indicates
that team psychological safety strengthens the relationship between team priority of safety
and reported treatment errors and the indirect relationship between leader behavioral integrity
for safety and reported treatment errors (via team priority of safety). Overall this model
suggests that clarity and consistency of leader communication and behavior regarding safety
(leader behavioral integrity for safety) is important to ensure that employees do not
experience a double bind between adhering to safety procedures and reporting errors against
those safety procedures (Argyris, 1977). Solving that double bind is important, as both team
psychological safety and team priority of safety are important in fostering positive safety
outcomes (Hofmann & Mark, 2006).
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 8
Method
Participants and Procedure
We collected survey data from four Belgian hospitals to test our hypothesized model.
As our research is specified on the team level of analysis, we focused our sampling on
nursing departments within these hospitals. We considered a team to be composed of one
head nurse and a minimum of three nurses who reported directly to this head nurse. We
received permission from hospital nursing directors to conduct our survey with 54 nursing
departments. Paper surveys were distributed to nurses and head nurses within the different
nursing departments, and nurses were asked to deposit them in a sealed box or envelope to
assure anonymity. We collected survey data in the nursing departments at two stages. At
Stage 1, we collected 580 surveys from nurses, which resulted in a response rate of 70%. At
Stage 2, six months later, we used the same procedure to collect survey data from all the head
nurses in the four hospitals on the number of reported treatment errors.
An average of 11 nurses per department responded to our survey, ranging from 3 to 19.
These nurses take care of an average number of 19 patients (SD = 12) at one specific point in
time. The departments have different specializations: surgery, geriatrics, emergency
medicine, pediatrics, maternity, psychiatry, revalidation, dental care, oncology, cardiology,
gastroenterology, orthopedics, radiography, and polyclinics. Head nurses are on average 43
years old (SD = 8), worked in the hospital for 20 years (SD = 9) and have held their position
as a head nurse for 12 years (SD = 9). Fifty-six percent of the head nurses are female and 43
% of the head nurses had worked in the department as a nurse before they served as a head
nurse. Nurses are on average 38 years old (SD = 11), have worked in the hospital for 14 years
(SD = 11) and held their current position for 15 years (SD = 10). On average, a nurse works
in the hospital for 33 hours per week (SD = 8). Seventy-five percent of the nurses are female.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 9
Measures
Behavioral integrity for safety. We constructed a six-item measure based on the
behavioral integrity measure reported in Simons et al. (2007). Leroy, Dierynck, Halbesleben,
Savage, and Simons (2010) validated this instrument showing that behavioral integrity for
safety was correlated with, but factorially distinct from, general behavioral integrity. The
items are ‘Regarding safety, my head nurse delivers the consequences he/she describes.’,
‘When my head nurse lays out safety protocols, he/she makes sure people follow it.’, ‘My
head nurse enforces the safety protocols he/she describes.’, ‘My head nurse always practices
the safety protocols he/she preaches.’, ‘My head nurse does not actually prioritize safety
issues as highly as he/she says he/she does.’ (reversed) and ‘Regarding safety, my head
nurse’s words do not match his/her deeds.’ (reversed).1
Nurses rated these items on a five-point Likert scale ranging from completely disagree
to completely agree. The internal consistency reliability estimate for this scale was 0.93. As
we are interested in team perceptions of the leader, we checked whether we could aggregate
this measure to the team level of analysis. Supporting the aggregation of this measure (Bliese,
2000), we found an average rwg of 0.92 (Mdn = 0.92), an ICC(1) of 0.26 and an ICC(2) of
0.80 and a significant amount of between-group variance F (53, 579) = 4.93, p < 0.01.
Team psychological safety. We measured psychological safety with the seven-item
survey developed by Edmondson (1999). These seven items are measured with a five-point
Likert scale, ranging from completely agree to completely disagree. Example items are: ‘If
you make a mistake in this team, it is often held against you’ (reversed) and ‘Members of this
team are able to bring up problems and tough issues’. The internal consistency reliability
estimate for this scale was 0.80. In support of aggregating this measure to the team level, we
found an average rwg of 0.76 (Mdn = 0.77), ICC(1) = 0.10 and ICC(2) = 0.53 and a significant
amount of between-group variance F (53, 579) = 2.14, p < 0.01.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 10
Team priority of safety. Katz-Navon et al. (2005) validated a seven-item scale
measuring priority of safety that draws on the work of Zohar (2000). This scale measures the
extent to which safety is perceived as a priority within a nursing department in comparison to
other work tasks. Items were measured on a five-point Likert scale ranging from completely
disagree to completely agree. Two examples of items are: ‘It doesn’t matter how the work is
done as long as there are no accidents’ and ‘In order to get the work done, one must ignore
some safety aspects.’ All of the items in this scale are reverse-scored. The internal
consistency reliability estimate for this scale was 0.89. In support of aggregation, we found
an average rwg of 0.74 (Mdn = 0.74), ICC(1) = 0.15 and ICC(2) = 0.65 and a significant
amount of between-group variance F (53, 579) = 2.88, p < 0.01.
Patient safety. We operationalized patient safety as treatment errors in the
performance of an operation, procedure, or test; in the administration of the treatment; in the
dosage or method of using a drug; or as generally inappropriate care that resulted in harm to a
patient (Naveh et al., 2005; Katz-Navon et al., 2005). Common medical errors are adverse
drug events and improper transfusions, surgical injuries and wrong-site surgery, suicides,
restraint-related injuries or death, falls, burns, pressure ulcers, and mistaken patient identities
(Institute of Medicine, 1999). In this study, we collected data on incidents that (1) are broadly
applicable, (2) occur relatively frequently and (3) are subject to underreporting: patient falls,
wound infection, bedsores, and different types of medication errors (medication of wrong
type, at the wrong time, in the wrong amount or applied in the wrong way). A meta-analysis
of Beus, Payne, Bergman, and Arthur (2010) indicates that self-reports and cross-sectional
data can artificially strengthen the relationship between safety climate and safety outcomes.
Accordingly, we asked head nurses to report the treatment errors six months after we
collected the other measures (Mitchell & James, 2001). Over six months head nurses reported
an average of 12 incidents per department (SD = 4).
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 11
Control variables. We controlled for characteristics of the nurses, the nursing teams and
the overall hospital. First, at Stage 1 nurses indicated the average number of patients that
nurses in the team take care of, as reported treatment errors may be a function of nurse
workload (Katz-Navon et al., 2005). Second, at Stage 2 head nurses reported on the average
complexity of patient conditions at the work unit using six items (Hoffman & Mark, 2006) to
control for the fact that reported treatment errors may also be a function of more complex
patient conditions. An example item is ‘How many patients on your unit have complex
problems that are not well understood?’ These items were measured on a five-point Likert
scale ranging from a few (< 20%) to most (> 80%). Third, we controlled for potential
differences between the hospitals (Katz-Navon et al., 2005). Hospital membership of nurses
was derived from the data collection. We found that the addition of these controls did not
meaningfully change our results. Therefore, following the recommendations of Becker
(2005), we omitted these variables from subsequent analyses.
Analyses
We analyzed the data using structural equation modeling in two steps. First, we
conducted a confirmatory factor analysis on our measurement model. The measurement
model showed a good fit to the data (Hu & Bentler, 1998, 1999): χ² (167) = 484.40 (p = 0.00),
SRMR = 0.04, RMSEA = 0.06 and CFI = 0.95. When we alternately constrained each pairwise
factor to unity, we found that, in each case, constraining the factor correlation significantly
worsened the model (p < 0.05). In a next step, we tested the hypothesized, structural
relationships at the team-level of analysis. As multi-level structural equation models are too
parameter intensive for our data (Grizzle, Zablah, Brown, Mowen, and Lee, 2009), we
proceeded using aggregated measures in a path model, correcting for measurement error. We
performed these analyses using the Mplus statistical package (Muthen & Muthen, 2012).
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 12
Results
Main and Interaction Effects
Table 1 depicts the mean, standard deviations and correlation coefficients between our
variables. A path model where behavioral integrity for safety is related to reported treatment
errors through team psychological safety, team priority of safety, and their interaction had a
good fit to the data: χ² (2) = 6.72 (p = 0.03), SRMR = 0.07, RMSEA = 0.02 and CFI = 0.98.
We summarized the relationships between these variables in Figure 1, reporting standardized
beta-coefficients. We found support for Hypothesis 1 that behavioral integrity for safety is
positively related to team priority of safety (β = 0.37, p = 0.01) and for Hypothesis 2 that
behavioral integrity for safety is positively related to team psychological safety (β = 0.34, p =
0.01). In addition, we found support for Hypothesis 3 that team priority of safety is negatively
related to reported treatment errors (β = -0.40, p = 0.01) and Hypothesis 4 that team
psychological safety is positively related to reported treatment errors (β = 0.28, p = 0.02).2
Lastly, we found support for Hypothesis 5 that posited an interaction between team
psychological safety and priority of safety on reported treatment errors (β = -0.35, p = 0.01).
In Figure 2 we specify the nature of the interaction effect. We differentiate between
high and low levels of psychological safety, respectively, one standard deviation above and
one standard deviation below the mean (Aiken & West, 1991). As can be seen in Figure 2,
the relationship between team priority of safety and reported treatment errors is more
negative for higher levels of team psychological safety.
-------------------------------
Insert Table 1 about here
-------------------------------
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 13
----------------------------------------------
Insert Figure 1 and Figure 2 about here
----------------------------------------------
Mediation and Moderated Mediation Effect
Hypothesis 6 asserted that the effect of leader behavioral integrity for safety on
reported treatment errors is mediated through team priority of safety and team psychological
safety. In the path analysis we specified an indirect effect of leader behavioral integrity for
safety on reported treatment errors through team priority of safety (β = -0.13, p < 0.01) and
team psychological safety (β = 0.12, p < 0.01) using a bootstrapping procedure (Preacher &
Hayes, 2008). In addition, we tested an alternative model where leader behavioral integrity
for safety is also directly related to the number of reported treatment errors (James, Mulaik,
& Brett, 2006). This model showed a good fit to the data: χ² (1) = 1.37 (p = 0.24), SRMR =
0.04, RMSEA = 0.03 and CFI = 0.98 but we found no evidence for a direct relationship
between leader behavioral integrity for safety and reported treatment errors (β = -0.08, p =
0.15). This suggests that the model without the direct effect is the more parsimonious and,
thus, the preferred model. Hypothesis 7 asserted that the indirect effect of leader behavioral
integrity for safety on reported treatment errors through team priority of safety is a function
of team psychological safety. This consists of a test of moderated mediation (Muller,
Descartes, Judd, & Yzerbyt, 2005). In support of Hypothesis 7, we found that the conditional
indirect effect was higher at one standard deviation above the mean (ŷ = -4.12, p = 0.03) than
one standard deviation below the mean (ŷ = -3.60, p = 0.03) (Preacher, Rucker, & Hayes,
2007).
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 14
Discussion
The objective of this study was to understand how leaders can reconcile the seemingly
paradoxical elements of enforcing safety protocols while encouraging employee error
reporting. Using theory and research on leader behavioral integrity, we hypothesized that
when leaders live up to espoused safety values, teams will not only attach more importance to
the adherence of safety protocols but also feel psychologically safe to admit mistakes. The
results from a survey study in four hospitals and 54 nursing teams confirm the hypotheses
that head nurse behavioral integrity for safety is related to team perceptions of priority of
safety (Hypothesis 1) as well as psychological safety (Hypothesis 2). These findings imply
that when head nurses are perceived to stay true to the safety values they espouse, they give
clear signals that nurses should place a high priority on safety compared to other demands.
Furthermore, when head nurses’ words and actions align, this signals to nurses that their
concern for safety is genuine, and that it is safe to admit treatment errors. These results
advance previous research in showing that behavioral integrity for safety fosters both team
priority of safety (e.g. Zohar, 2000) and psychological safety (e.g. Edmondson, 1999).
These results are further important as they demonstrate that team priority of safety and
psychological safety have a negative (Hypothesis 3) and positive (Hypothesis 4) relationship
respectively with the number of reported treatment errors. On the one hand, team priority of
safety reflects following safety protocols in daily operations and thus relates to a lower
number of reported treatment errors. On the other hand, team psychological safety reflects an
environment where it is safe to admit mistakes and thus relates to a higher number of reported
treatment errors. These results establish that both aspects are important determinants of an
overall safety climate (Hofmann & Mark, 2006), but they also emphasize the need to
distinguish both aspects from one another as they have a different, seemingly paradoxical,
effect on the number of reported treatment errors (Katz-Navon et al., 2005; 2009).
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 15
To further clarify these opposite effects, we also predicted and found an interaction
effect between team priority of safety and psychological safety (Hypothesis 5). More
specifically, we found that team priority of safety is more negatively related to the number of
reported treatment errors when team psychological safety is high. This suggests that
adherence to safety procedures reflects a genuine concern for safety (and thus has a larger
effect on reported errors) when employees feel safe to speak up about errors. These results
support previous findings that while team psychological safety and priority of safety show
opposing effects on reported treatment errors (Katz-Navon et al., 2009) it is their combination
that has the strongest effect on reported treatment errors (Hofmann & Mark, 2006).
We further demonstrated that the effect of leader behavioral integrity for safety on
reported treatment errors is mediated through the combination of team psychological safety
and priority of safety (Hypothesis 6). In staying true to the safety values they espouse, leaders
foster a safer working environment because they send clear signals that safety should be
prioritized while also fostering an environment supportive of reporting treatment errors.
These results suggest that leader behavioral integrity operates through the complementary
mechanisms of clear communication and fostering a trusting environment (Simons, 2008).
Finally, we found that team psychological safety moderated the indirect relationship between
leader behavioral integrity for safety and reported treatment errors (Hypothesis 7). This
suggest that aspects of psychological safety that are not specific to leader behavioral integrity
for safety may further enhance its positive effects on reported treatment errors.
Overall these results suggest that leaders who follow-up on safety values show a
genuine concern for safety and can expect their team to show a similar genuine commitment
to safety in that they not only adhere to safety protocols but also remain willing to admit
safety mistakes. In this way, behavioral integrity for safety helps resolve the double bind for
team members between adhering to safety protocols and speaking up about mistakes.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 16
Future Research
First, whereas the present study looked at the perceived word-deed alignment of leaders,
additional research is needed to clarify the distinct effects of safety expectations, safety
actions (Zohar, 2000) and their alignment (Simons, 2002). For example, future research
should use surface mapping to indicate how actual alignment of word and deeds influences
perceived alignment. We further expect that safety espousal may influence priority of safety,
but that only their enactment will influence psychological safety.
Second, more research is needed on how specific leader behaviors are related to
employee perceptions that leaders align words and deeds. Future research could extend the
present findings by looking at how authentic leadership fosters behavioral integrity for safety
(Leroy, Simons, & Palanski, in press). Whereas previous research has revealed that
transformational leadership correlates with managerial safety actions (e.g. Barling, Loughlin,
& Kelloway, 2002; Zohar & Luria, 2010), authentic leadership may help us further
understand when leaders enact espoused safety values and invite authentic follower behavior
such as speaking up and admitting mistakes (Gardner, Avolio, & Walumbwa, 2005).
Third, future research should clarify how team psychological safety reduces work-
related errors over the long term. In this study we found that team psychological safety is
positively related to the number of reported treatment errors. Psychological safety may also
lead to a decrease of reported errors over time because an environment supportive of
reporting errors can help employees to learn from mistakes (Edmondson, 1999; Tucker &
Edmondson, 2003; Tucker, Nembhard, & Edmondson, 2007). Future research could use
growth modeling to study these relationships. Building on our findings, we would expect that
whereas psychological safety would be positively related to the average levels of reported
treatment errors in a department at one specific time, psychological safety may lead to a
decrease of reported treatment errors over time.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 17
Limitations
First, we should be careful in drawing causal inferences regarding the direction of the
relationships identified. Some of our data are cross-sectional and thus do not support causal
claims. We have reasonable confidence in our conclusions, however, because a reversed
relationship between leader behavioral integrity for safety and team psychological safety or
priority of safety is unlikely. Leader perceived alignment between words and deeds is
unlikely to be the result of either team priority of safety or team psychological safety.
Nevertheless, additional studies that employ longitudinal designs are needed to determine the
causal direction of the relationships between leader behavioral integrity for safety, team
priority of safety, and team psychological safety.
Next, some of our variables were rated by the same source. This introduces the potential
for common method bias (Podsakoff, Mackenzie, Lee, & Podsakoff, 2003). The risk of such
bias is typically reduced by the adoption of several pro-active strategies (Lindell & Whitney,
2001; Podsakoff et al., 2003). In this study, we included leader-ratings of the number of
reported treatment errors as an outcome and separated these in time from other ratings. We
also used a multi-level research design that confirmed the posited effects at the group level of
analysis, reducing biasing effects that are operative at the individual level of analysis. In
addition, we confirmed the robustness of our findings with a split-sample approach.2
Third, our research is limited to the hospital setting and limited to behavioral integrity
with respect to safety values. This confines the extent to which we can generalize our results
to other industries or other values. Future research could expand on the present findings to
see whether our hypothesized model holds true in other industries or when looking at other
values. For example, future research could further investigate how leader behavioral integrity
addresses the paradox of innovating while also conforming to pre-existing service standards
in a service industry (Palanski & Vogelgesang, 2011).
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 18
Practical Implications
A first implication of our research is that leader behavioral integrity for safety may be
important for creating a climate of safety in the organization. Simons (2008) argued that the
concept of behavioral integrity typically is well received because it has an intuitive appeal
(walking the talk), especially for middle managers who find themselves ‘stuck in the middle’
when it comes to enforcing safety or other procedures proposed by higher management. Our
results suggest that helping these managers maintain their behavioral integrity for safety may
create a safer work environment. In this way leader behavioral integrity not only reflects
leader reliability but promotes a high-reliability organization.
Second, these results suggest that organizations should consider team psychological
safety in addition to safety compliance when evaluating work unit safety. Psychological
safety is important to gain a better understanding as to whether safety is valued out of fear of
punishment or because of a genuine concern for safety. Furthermore, psychological safety is
important to have an accurate assessment of the actual number of errors that occur. In our
study, for example, based on Figure 2 one could conclude that teams low on psychological
safety but high on priority of safety may appear to have the same actual safety performance
as teams high on psychological safety and high of priority of safety. In a team low on
psychological safety however some errors may not be reported, which may create a faulty
perception of actual safety performance (Probst, Bubaker, & Barsotti, 2008).
Conclusion
Our findings suggest that by staying true to the safety values they espouse, leaders can
start to solve the managerial dilemma of providing clear safety directives while encouraging
employees to report errors. This is important as the results of our study indicate that the
combination of both a high priority of safety and a psychologically safe working environment
predicts the number of reported treatment errors in hospitals.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 19
References
Argyris, C. (1977). Double loop learning in organizations: By uncovering their own hidden
theories of action, managers can detect and correct errors. Harvard Business Review, 55,
115-126.
Argyris, C. (1998). Empowerment: the emperor’s new clothes. Harvard Business Review, 76,
98-105.
Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting
interactions. Newbury Park, CA: Sage.
Barling, J., Loughlin, C. & Kelloway, E. K. (2002). Development and test of a model linking
safety-specific transformational leadership and occupational safety. Journal of Applied
Psychology, 87, 488-496.
Bateson, G., Jackson, D. D., Haley J. & Weakland, J. (1965). Toward a theory of
Schizophrenia, Behavioral Science, 1, 251-264.
Becker, T. E. (2005). Potential problems in the statistical control of variables in
organizational research: A qualitative analysis with recommendations. Organizational
Research Methods, 8, 274-289.
Beus, J. M., Payne, S. C., Bergman, M. E., & Arthur, W. (2010). Safety climate and injuries:
an examination of theoretical and empirical relationships. Journal of Applied
Psychology, 95, 713-27.
Bliese, P. D. (2000). Within-group agreement, non-independence, and reliability:
Implications for Data Aggregation and Analysis. In K. Klein, & S. Kozlowski (Eds.),
Multilevel Theory, Research, and Methods in Organizations. San Francisco, Jossey-Bass.
Dineen, B. R., Lewicki, R. J. & Tomlinson, E. C. (2006). Supervisory guidance and
behavioral integrity: Relationships with employee citizenship and deviant behavior.
Journal of Applied Psychology, 91, 622-635.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 20
Edmondson, A. (1999). Psychological safety and learning behavior in work teams,
Administrative Science Quarterly, 44, 350-383.
Edmondson, A. C. (2003). Speaking up in the operating room: How team leaders promote
learning in interdisciplinary action teams. Journal of Management Studies, 40, 1419-
1452.
Edmondson, A. C. (2004). Learning from failure in health care: Frequent opportunities,
pervasive barriers. Quality and Safety in Health Care, 13, ii3-ii9.
Gardner, W. L., Avolio, B. J., & Walumbwa, F. (2005). Authentic leadership development:
Emergent themes and future directions. In Gardner, W., L., Avolio, B., J., & Walumbwa,
F. (Eds) Authentic leadership theory and practice: Origins, effects and development.
Elsevier; The Netherlands.
Grizzle, J. W., Zablah, A. R., Brown, T. J., Mowen, J. C., & Lee, J. M. (2009). Employee
customer orientation in context: How the environment moderates the influence of
customer orientation on performance outcomes. Journal of Applied Psychology, 94,
1227-1242.
Hofmann, D. A., & Mark, B. (2006). An investigation of the relationship between safety
climate and medication errors as well as other nurse and patient outcomes. Personnel
Psychology, 59, 847-869.
Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity
to underparameterized model misspecification. Psychological Methods, 3, 424-453.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure
analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6,
1-55.
Institute of Medicine (1999). To err is human: Building a safer health system. Washington
DC: National Academy Press.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 21
James, L. R., Mulaik, S. A., Brett, J. A. (2006). A tale of two methods. Organizational
Research Methods, 9, 233-244.
Katz-Navon, T., Naveh, E., & Stern, Z. (2005). Safety climate in healthcare organizations: A
multidimensional approach. Academy of Management Journal, 48, 1075-1089.
Katz-Navon, T., Naveh E. & Stern, Z. (2009). Active learning: When is more better? The
case of resident physicians' medical errors. Journal of Applied Psychology, 94, 1200-
1209.
Kerr, S. (1975). On the folly of rewarding A, while hoping for B. Academy of Management
Journal, 18, 769-783.
Leroy, H., Dierynck, B., Halbesleben, J., Savage, G., & Simons, T. (2010). Living up to
safety values in healthcare: Effects of behavioral integrity on safety outcomes. Academy
of Management Meeting, Montreal.
Leroy, H., Simons, T., & Palanski, M. (in press). How being true to the self helps leaders
walk the talk: Authentic leadership and behavioral integrity driving follower affective
organizational commitment and work role performance. Journal of Business Ethics,
forthcoming.
Lindell, M., & Whitney, D. J. (2001). Accounting for common method variance in cross-
sectional research designs. Journal of Applied Psychology, 86, 114-121.
Mitchell, T. R., & James, L. R. (2001).Building better theory: Time and specification of when
things happen, Academy of Management Review, 26, 530-547.
Muller, D., Descartes, P., Judd, C. M., & Yzerbyt, V. Y. 2005. When moderation is mediated
and mediation is moderated. Journal of Personality and Social Psychology, 89, 852- 863.
Muthen, L. K., & Muthen, B. O. (2012). Mplus user's guide (6th ed.). Los Angeles, CA:
Muthen & Muthen.
Naveh, E., Katz-Navon, T., & Stern, Z. (2005). Treatment errors in healthcare: A safety
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 22
climate approach. Management Science, 51, 948-960.
Nembhard, I. M. & Edmondson, A. C. (2006). Making it safe: The effects of leader
inclusiveness and professional status on psychological safety and improvement efforts in
health care teams. Journal of Organizational Behavior, 27, 941-966.
Palanski, M. E., & Vogelgesang, G. R. (2011). Virtuous creativity: The effects of leader
behavioral integrity on follower creative thinking and risk taking. Canadian Journal Of
Administrative Sciences, 269, 259-269.
Podsakoff, P. M., Mackenzie, S. B., Lee, J., & Podsakoff, N. P. (2003). Common method
biases in behavioural research: A critical review of the literature and recommended
remedies. Journal of Applied Psychology, 88, 879-903.
Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation
hypotheses: Theory, methods, and prescriptions, Multivariate Behavioral research, 42,
185-227.
Preacher, K. J. & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing
and comparing indirect effects in multiple mediator models. Behavior Research Methods,
40, 879-891.
Probst, T. M., Brubaker, T. L., & Barsotti, A. (2008). Organizational injury rate
underreporting: The moderating effect of organizational safety climate. Journal of
Applied Psychology, 93, 1147-1154.
Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998). Not so different at all: A
cross-discipline of view of trust. Academy of Management Review, 23, 393-404.
Simons, T. (2002). Behavioral integrity: The perceived alignment between managers' words
and deeds as a research focus. Organization Science, 13, 18-35.
Simons, T. (2008). The integrity dividend: Leading by the power of your word. San
Francisco, Jossey Bass.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 23
Simons, T., Friedman, R., Anne Liu, L., & McLean Parks, J. (2007). Racial differences in
sensitivity to behavioral integrity: Attitudinal consequences, in-group effects, and
“trickle down” among black and non-black employees. Journal of Applied Psychology,
92, 650-666.
Tucker, A. L., & Edmondson A. C. (2003). Why hospitals don't learn from failures:
Organizational and psychological dynamics that inhibit dynamics. California
Management Review, 45, 55-71.
Tucker, A. L., Nembhard, I. M., & Edmondson, A. C. (2007). Implementing new practices:
An empirical study of organizational learning in hospital intensive care units.
Management Science, 53, 894-907.
Zohar, D. (2000). A group-level model of safety climate: Testing the effect of group climate
on microtreatment errors in manufacturing jobs. Journal of Applied Psychology, 85, 587-
596.
Zohar, D. (2002) Modifying supervisory practices to improve subunit safety: A leadership-
based intervention model. Journal of Applied Psychology, 87, 156-163.
Zohar, D. (2010). Thirty years of safety climate research: Reflections and future directions.
Accident Analysis and Prevention, 42, 1517-1522.
Zohar, D., & Luria, G. (2004). Climate as a social-cognitive construction of supervisory
safety practices: Scripts as proxy of behavior patterns. Journal of Applied Psychology,
89, 322-333.
Zohar, D., & Luria, G. (2010). Group leaders as gatekeepers: Testing safety climate
variations across levels. Applied Psychology: An International Review, 59, 647-673.
Zohar, D., & Tenne-Gazit, O. (2008). Transformational Leadership and Group Interaction as
Climate Antecedents: A Social Network Analysis. Journal of Applied Psychology, 93,
744-757.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 24
Footnotes
1 This study also included measures of safety climate (Zohar, 2000) and authentic
leadership (Walumbwa, Avolio, Gardner, Wernsing, & Peterson, 2008). A measurement
model where authentic leadership, safety climate, and leader behavioral integrity for safety
are separate constructs has a reasonable fit to the data (χ2 (87) = 267.51 (p = 0.00), SRMR =
0.04, RMSEA = 0.08, CFI = 0.96) and fit the data better (p < 0.05) than a model where these
measures were set to correlate at 1.0. Furthermore, we found that behavioral integrity for
safety predicted additional explanatory variance in priority of safety when controlling for
authentic leadership (β = 0.26; p < 0.01) and psychological safety when controlling for safety
climate (β = 0.34; p < 0.01). This is consistent with the idea that leader behavioral integrity
for safety adds information to these other measures because it combines the beneficial effects
of a psychologically safe environment and an environment that prioritizes safety regulations.
2 To check for common method bias in these cross-sectional relationships, we used
data from half of each team for leader behavioral integrity for safety on the one hand and
team priority of safety and team psychological safety on the other hand to replicate these
findings. While somewhat smaller, the direction and significance of the relationships confirm
these findings.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 25
Table 1
Means, Standard Deviations and Intercorrelations Among Study Variables.
M
SD
1
2
3
1.
Leader behavioral integrity for safety
3.80
.40
.93
2.
Team psychological safety
3.58
.30
.45**
.80
3.
Team priority of safety
3.66
.45
.38**
.24*
.89
4.
Reported treatment errors
11.68
1.37
-.26*
.18
-0.34*
Note. Reliability estimates for scales are presented on the diagonal.
* p < 0.10
** p < 0.05
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 26
Leader behavioral integrity for
safety
Team priority of safety
Team psychological safety
Reported treatment errors
0.37**
0.34**
-0.40**
0.28**
- 0.35**
** p < 0.05
Figure 1. Hypothesized model.
LEADER BEHAVIORAL INTEGRITY FOR SAFETY 27
Reported number of
treatment errors
10
11
12
13
14
15
Low priority of safetyHigh priority of safety
High Psychological Safety
Low Psychological Safety
Figure 2. Interaction effect between team priority of safety and psychological safety on the
reported number of treatment errors.
... For example, nurses with a high perception of PPS dare to prevent doctors from using medication incorrectly, without worrying about the authority of doctors hindering their career. This can effectively reduce doctors' medical errors in the diagnosis and treatment process, reduce the reputation and other losses caused by hospital errors, and also effectively enhance patients' trust in the diagnosis and treatment process and improve doctor-patient relationships [3,19]. Therefore, it is necessary to understand the benefits that employee psychological safety brings to the organization, as well as the factors that may lead to a decrease in employee psychological safety, which will help organizational leaders design the best work environment to provide beneficial results to their organization to the maximum extent possible. ...
... Research on supportive leadership behavior has found that leaders' individual traits (such as inclusiveness, support, credibility, openness, and behavioral integrity) has a strong impact on employees' PPS [47,48]. At the team level, employees' collective perceptions supported and guided by team leaders, trust in the leader, leader's Inclusiveness, and behavioral integrity of the leader, all of which can promote team level outcomes such as team learning behavior, team performance, and quality improvement work, and reduce errors among team members by developing a perception of PPS [2,19,37,49]. Other studies have also found that positive leadership styles (transformational leadership, ethical leadership, change-oriented leadership, and shared leadership) are positively correlated with employee voice behavior, team learning, and personal learning through the mediating mechanism of PPS [21,22,50]. ...
Article
Full-text available
Although organisations can effectively resist risks and enhance organisational performance by creating a Perception of Psychological Safety (PPS) climate, there is a lack of PPS scales developed under a multidimensional integrated interaction perspective. Based on a review of relevant theories, this paper clearly defines the concept of PPS and proposes a three-dimensional model of PPS, including organisational- level PPS, team- level PPS, and dyadic- level PPS. In this paper, we develop and validate a scale for measuring PPS in the workplace using 12 startups in a relatively economically developed region in the southeastern coastal region of China as the empirical target. The results of the empirical analyses show that the scale we developed has a good level of reliability and consistency, as well as good content validity, convergent validity, and discriminant validity.
... Psychological safety has been identified as a top contributor to team performance in a variety of industries (i.e., Bergmann & Schaeppi, 2016;Edmondson et al., 2001;Leroy et al., 2012). Previous research has shown that the diversity climate of an organization has an impact on feelings of psychological safety; diversity-friendly workplace environments and inclusive leaders enhance perceptions of psychological safety (Hirak et al., 2012;Singh et al., 2013). ...
... The AHW-L scale can be used in applied contexts because it has been validated using variables that impact individual performance and overall organizational effectiveness. Psychological safety, emotional labor, and organization-based self-esteem have been linked to job satisfaction and individual and team performance, in addition to turnover and burnout (Bergmann & Schaeppi, 2016;Edmondson et al., 2001;Grandey & Gabriel, 2015;Leroy et al., 2012;Pierce & Gardner, 2004). Burnout negatively impacts the performance and satisfaction of both the prejudiced individuals and those targeted by prejudiced beliefs (Costa et al., 2023;Sex Roles (2025) Morales Rodríguez et al., 2020;Singh & O'Brien, 2020). ...
Article
Full-text available
Ambivalent homoprejudice theory posits that homoprejudice manifests as hostile and benevolent beliefs that negatively impact LGBTQIA + -identifying individuals. Extensive research has been conducted on the adverse impact of homoprejudice on gay men, both in general and in workplace contexts. However, there has been minimal research on how ambivalent homoprejudice affects lesbian women in the workplace. A significant challenge in this line of research is the absence of a validated scale to measure ambivalent homoprejudice attitudes towards lesbian women. Therefore, in this series of two studies, we developed and provided psychometric support for the Ambivalent Homoprejudice Toward Lesbian Women at Work Scale (AHW-L). Study 1 (N = 266) established the dimensionality of the scale and provided initial evidence of both reliability and validity. Study 2 was conducted to confirm the structure found in Study 1 in a new sample (N = 204) and provided further evidence of reliability and validity. The final validated scale can be used by organizations to identify prejudice in their organization and support the development of targeted interventions. The aim of this scale is to promote and facilitate rigorous research on the workplace experiences of lesbian women.
... For example, collectivist cultures may emphasize group harmony over individual expression, while individualistic cultures may encourage open dialogue but risk alienating dissenting voices. (Leroy et al., 2012). These dynamics make evident the need for tailored strategies for supporting psychological safety in diverse and global contexts. ...
Article
This research study would focus on the relationship between psychological safety and creativity and innovation in organizational contexts. Following a quantitative methodology, it analyzes how far psychological safety influences an employee's tendency towards taking risk, expressing his ideas, and collaborating-on all of which are part and parcel of creativity and innovation. The research population consisted of 180 participants: team leaders, HR managers, and educational principals, using self-administered questionnaires for the purpose. Correlation, regression, and post-hoc analysis of the collected data has been done in this case to determine both strength and direction of relationship existing between psychological safety and some crucial organizational outcomes. The analysis, employing correlation, regression, and post-hoc techniques, reveals strong positive correlations between psychological safety and creativity, with psychological safety significantly predicting creativity (? = 0.55, p < 0.01), accounting for 47% of its variance. Additionally, psychological safety was found to encourage risk-taking (r = 0.72, p < 0.01) and idea-sharing (r = 0.65, p < 0.01). Leadership behaviors and communication strategies were also identified as crucial in fostering psychological safety, with both predicting 52% of its variance. The study underscores the importance of creating a psychologically safe environment to promote innovation and continuous improvement in organizations.
... Багато досліджень акцентують увагу на її ролі у різноманітних життєвих ситуаціях. Зокрема, у професійному контексті вона сприяє покращенню групової взаємодії (Leroy et al., 2012), ініціативності працівників, підвищенню їхньої креативності (Palanski, & Vogelgesang, 2011), повазі членів колективу один до одного, бажанню обмінюватись знаннями та навчатись, ризикувати (Brinsfield, 2013;Edmondson, 1999). Психологічна безпека зменшує страх перед загрозами та створює середовище, у якому люди здатні переживати невдачі без почуття провини чи бажання помститися (Schein, & Bennis, 1965). ...
Article
Full-text available
B a c k g r o u n d . The neuroception of psychological safety is a relatively new construct that combines psychological and neuroscientific aspects of interpersonal interaction. It is described and studied within the framework of polyvagal theory as one of the key concepts for understanding the nature of social engagement processes. The present study aims to adapt into Ukrainian the Neuroception of Psychological Safety Scale (NPSS), the original version of which is a valid and reliable tool for assessing the sense of psychological safety in the context of interpersonal interaction. M e t h o d s . The study involved 96 respondents from Ukraine. The Ukrainian version was obtained by means of double translation. Exploratory and confirmatory factor analysis were used to test the structure of the Ukrainian version. The internal consistency of the subscales and the overall test was assessed using Cronbach's alpha. To compare the respondents' responses by gender, the sum of the scores on the scales was calculated and a t-test was used. R e s u l t s . The total Cronbach's alpha score for the Neuroception of Psychological Safety Scale is 0,92. For the subscale "Social engagement" – 0,91, for the subscale "Compassion" – 0,86, for the subscale "Body sensations" – 0,92. These results indicate a high internal consistency of the questionnaire items. Factor analysis resulted in a simple 3-factor structure that explained 56,9 % of the total variance and was almost identical to the subscales of the developers in terms of item grouping. C o n c l u s i o n s . The Ukrainian adaptation of the Neuroception of Psychological Safety Scale demonstrated satisfactory psychometric properties. The translation of some items of the scale needs to be modified, but the available version of this scale can be used for research on a Ukrainian-speaking sample, as well as in the practical work of psychologists.
Article
In de ggz werken bevlogen mensen. Tegelijkertijd gaat de branche gebukt onder een hoge werkdruk; zorgmedewerkers raken overbelast, vallen uit of verlaten het werkveld. De stabiliteit en continuïteit van de ggz staat daarmee onder druk, terwijl de zorgvraag groeit. Om de bevlogenheid van zorgmedewerkers te behouden en duurzame inzetbaarheid van personeel na te streven, moet het roer om. Wij bepleiten een gezond en veilig werkklimaat in de ggz te prioriteren. Een werkklimaat dat zich kenmerkt door psychologische veiligheid, openheid, vertrouwen en collegiale verbinding, en waarin aandacht bestaat voor het mentale welzijn van zorgmedewerkers. Hierbij geldt het oude adagium dat voorkómen nog altijd beter is dan genezen. Het doel: een betere kwaliteit van zorg, meer werkgeluk, veerkracht en productiviteit, en minder verzuim en uitstroom van personeel. Hiervoor is bewust, mensgericht leiderschap en werkgeverschap nodig. Ggz-instellingen, leidinggevenden en zorgmedewerkers hebben een gezamenlijke verantwoordelijkheid in dit proces.
Article
Objective: To apply a model of psychological safety to the work situation of nurses in Japan, we developed the “Japanese version of Team Psychological Safety for Nurses” (JPSN) scale, measuring an individual’s perception of psychological safety for a team of ward nurses, and evaluated its reliability and validity. Methods: First, we translated the “Team psychological safety” scale developed by Amy Edmondson (1999) after obtaining permission from the author. The scale was back translated and reviewed by a team of researchers to design a preliminary version. Next, we conducted an internet-based survey, using a self-administered questionnaire, among nurses working in ward teams across the country. Results: The data of 515 nurses were analyzed. In the exploratory factor analysis, seven items, including one factor similar to the original version, were extracted; the confirmatory factor analysis showed a good fit. After examining the construct validity and the Cronbach’s alpha coefficient (.787), we confirmed that the scale retained a certain level of reliability and validity. Conclusion: These findings suggest that the JPSN can be used to measure the psychological safety perception of Japanese nurses. Further research may explore the relationship between the nurses’ perceptions of psychological safety and their nursing practice.
Article
This study aimed to examine the association betw een ward nurses' psychological safety perceptions for their teams and gender, age, years of experience, and clinical department of the ward. 31 JPSN( Japanese version of Team Psychological Safety for Nursing Professionals: JPSN) is used to measure psychological safety perceptions for the team and consists of seven items on a seven point Likert scale. We conducted a secondary analysis of data collected from a nationwide web based survey of nurses in the ward nursing teams in December 2020. The differences in means were analyzed by t‑test for gender. Age, years of experience, and ward department were each divided into several groups. One‑way ANOVA was then conducted. The results suggest that ward nurses' psychological safety perception for the team tends to be lower than that of nurses in other countries and general workers. There were no significant differences in the scores of psychological safety perception for the team among the variables of age, gender, years of experience, and ward department. Ward nurses' psychological safety perception for the team is an important factor in promoting effective nurse‑team interaction. Therefore, it is necessary to examine the relationship with other factors to establish psychological safety perceptions of the team in Japan.
Article
Purpose : In this study, we aimed to assess the impacts of grit, patient safety competence, and patient safety culture on the patient safety nursing activities of nurses in comprehensive nursing service wards. Methods : Here, a self-reported survey of 179 nurses from three tertiary hospitals was performed. Data from 171 valid responses were analyzed using descriptive statistics, independent t -test, one-way analysis of variance, Pearson’s correlation, and stepwise multiple regression analyses.Results : The key sub-factors influencing the patient safety nursing activities were attitude ( β =.30, p <.001) and skill ( β =.26, p <.001) in the patient safety competence factor and safety environment ( β =.26, p <.001) in the patient safety culture factor. The regression model explained 42.7% of the variance in patient safety nursing activities (F=43.29, p <.001). Conclusion : Overall, these findings highlight the importance of improving the nurse attitude and skills related to patient safety as well as the safety environment in hospitals to enhance the patient safety nursing activities in comprehensive nursing service wards. Targeted educational and training programs should be provided along with organizational support to establish a safe and supportive nursing environment in comprehensive nursing service wards.
Thesis
Full-text available
Multiple sclerosis (MS) has a substantial impact on work outcomes and quality of life. This thesis has two overarching themes and aims: 1) to investigate factors associated with both short- and long-term work productivity among employed persons living with MS (PwMS); and 2) to investigate the impact of online MS-related education and information provision on disease-related knowledge and other health outcomes. Theme 1 of this thesis used data from the Australian MS Longitudinal Study (AMSLS). The AMSLS data platform, established in 2002, is a large ongoing longitudinal cohort study with around 2,500 to 3,200 active Australian participants with MS between 2015 to 2019. Previous studies by the Menzies MS team and others have shown the impacts of MS symptoms on work productivity. Nevertheless, the impact of work environment-related factors on work productivity has not been thoroughly investigated. The first study relating to Theme 1 (Chapter 3), which uses AMSLS data from 2015, aimed to quantify the impact of work-related factors, including work difficulties, work self-efficacy and work psychological safety, on MS-related work productivity loss. This included absenteeism (time absent from work), presenteeism (reduced productivity at work) and total work productivity loss (absenteeism plus presenteeism). The study found that a 10-unit decrease in workplace self-esteem, 10-unit increase in interpersonal difficulties at work, and 5-unit increase in work self-efficacy were associated with a 3.75% increase, 2.89% increase and 3.36% decrease in total work productivity loss, respectively. We found that the effects were partially mediated via MS symptom severity, with associations reducing when we adjusted for the severity of symptoms. The associations were stronger for those who had disclosed their MS status at work compared to those who had not disclosed. This highlights the need to empower PwMS by helping them develop the skills necessary to identify and communicate their needs effectively at workplace; assess and reduce the psychological effect of MS on their work; self-manage their MS symptoms; and assess and adjust their workload in order to maximise their work productivity. While previous cross-sectional studies have highlighted the impacts of demographic factors, clinical factors, including MS symptoms, and work-related factors on employment outcomes for PwMS, no study has critically evaluated the trajectories of change and the intra-individual changes of work productivity in PwMS. Using annual work productivity data collected by the AMSLS from 2015 to 2019, we applied group-based trajectory modelling to identify work productivity trajectories in PwMS and the factors associated with the identified trajectories. This work is described in study two (Chapter 4). We identified three distinct work productivity trajectories, namely: ‘moderately reduced’ (17.0% of participants), who had a mean work productivity of 47.6% at the start of the trajectory; ‘mildly reduced’ (46.7% of participants), who had a mean productivity of 86.3% at the start of the trajectory; and ‘full’ (36.3% of participants), who had a mean work productivity of 99.7% at the start of the trajectory. The work productivity trajectories were stable over time but there were substantial individual variations over the four-year period, particularly for the ‘moderately reduced’ trajectory. Higher educational level, higher severity of MS symptoms, and higher disability were associated with belonging to the worse (‘moderately reduced’) work productivity trajectory. This highlights that interventions to empower PwMS to reduce the impact of MS symptoms may help those at risk of work productivity loss, which could assist them to remain at work for longer. To gain a deeper understanding of work productivity among PwMS, after observing substantial individual variations in the work productivity trajectories, we performed a detailed investigation of the intra-individual changes of work productivity from one year to the next and the factors associated with the annual change in work productivity. This work is described in study three (Chapter 5). We found that the severity of MS symptoms was not associated with changes in work productivity. However, the variations (changes) in severity were associated with the individual changes in work productivity in the same year. The annual change in the symptom severity clusters ‘pain and sensory symptoms,’ ‘feelings of anxiety and depression,’ and ‘fatigue and cognitive symptoms’ were each independently associated with the annual change in work productivity. These results highlight importance of assisting PwMS to minimise both the severity and fluctuations of MS symptoms to improve work productivity. Theme 2 of this thesis used data collected from studies associated with a six-week massive open online course, entitled “Understanding Multiple Sclerosis” (MS MOOC). The MS MOOC was developed by the Menzies Institute MS Research Flagship to increase awareness and understanding of MS, health literacy (HL), resilience, self-efficacy, and quality of life (QoL) by providing evidence-based information. There are limited validated instruments to measure MS disease-related knowledge. Further, amongst the available validated instruments to measure MS disease-related knowledge, none is appropriate for assessing general MS knowledge among both people living with MS and those not living with MS. In study four (Chapter 7), we describe the development and validation of a simple and easy-to-use MS Knowledge Assessment Scale (MSKAS). The MSKAS was intended for use by the MS community and the general public to measure MS disease-related knowledge. We used the Delphi approach to develop the initial MSKAS of 42 yes/no items in consultation with experts from the MS community, examined the psychometric properties of the scale amongst MS MOOC participants, and generated the final 22-item MSKAS. The final MSKAS was found to be unidimensional (measuring only MS knowledge), valid, and reliable (reliability index of 0.82, with a minimum acceptable value of 0.7). The final MSKAS content covers MS biology, pathology, symptoms management, treatment options, risk factors, and prognosis around MS. The MSKAS is a valid and reliable tool that could be used by health practitioners and researchers around the world to measure general MS knowledge of English-speaking PwMS and the general public. The MS MOOC aimed to increase HL. The Health Literacy Questionnaire (HLQ) is a well-validated HL instrument, but little is known about its measurement properties in online health education cohorts. In study five (Chapter 8), we determined whether the HLQ, is an appropriate tool to measure HL among MS MOOC participants. We found each of the nine dimensions of the HLQ to have good internal consistency and reliability. All 44 individual HLQ items were appropriate in measuring the HL construct they intended to measure, and reliable HL information could be obtained in our cohort using the HLQ. This implies the HLQ is a valid and reliable tool to measure the HL of MS community members in different settings, including online MS educational platforms. In addition to HL, the MS MOOC also aimed to improve participants’ MS-related knowledge, resilience, self-efficacy, and QoL. The final study (Chapter 9) focused on assessing the impact of MS MOOC participation on MS-related knowledge, HL, resilience, self-efficacy, and QoL by comparing these measures before and after course participation. We found that course participation significantly increased MS-related knowledge for both PwMS (+2.13 points out of 22 possible points, p<0.001) and those without MS (+5.16 points, p<0.001). Having a higher education level (university degree and above) was associated with a larger increase in MS-related knowledge. For people not living with MS, two of the nine HL subscales (+2.0% and +2.5%) and QoL improved but the effect sizes were small, while no changes were observed in resilience or self-efficacy. For PwMS, seven of the nine HL subscales improved following participation (range from +1.4% to +3.5%), and self-efficacy for managing chronic disease (+4.1%) also improved, but again the effect sizes were small. No changes were observed in resilience, MS symptom severity, or QoL. Importantly, the changes in MS-related knowledge were not associated with the changes in other study outcomes. These findings showed that online education and accurate, concise information provision can significantly increase disease-related knowledge and HL, which are needed as a foundation for behaviour change and empowerment. The fact that increases in knowledge were not associated with changes in other health outcomes highlights that outcome-specific behavioural change interventions may be needed to impact these outcomes. The findings of Theme 1 of my PhD thesis suggest that PwMS may need the assistance of a multidisciplinary care team to empower them to remain in paid employment. Such a care team might assist PwMS in developing self-management skills around symptoms, skills to effectively communicate their needs at workplace, skills to assess and minimise the psychological impact of MS on work, and skills to assess their work demands and how to modify them. Such work-specific information and education could also be converted to a digital intervention similar to the MS MOOC. The findings of Theme 2 suggest that online education and information provision provides an opportunity to increase MS-related knowledge and HL, but that an educational intervention alone is not sufficient to effect behaviour change unless combined with an outcome-specific behavioural change interventions designed for that purpose. Other mobile applications, such as digital MS symptom self-monitoring, can further assist with behaviour changes whilst reducing the need for PwMS to rely on health practitioners. It is anticipated these digital interventions and apps will contribute to enhanced health outcomes, including reduced severity of symptoms, increased coping, reduced perceived stress, increased work productivity, and ultimately, an improved QoL
Article
OBJECTIVES Examine family safety-reporting after implementing a parent–nurse–physician–leader coproduced, health literacy-informed, family safety-reporting intervention for hospitalized families of children with medical complexity. METHODS We implemented an English and Spanish mobile family-safety-reporting tool, staff and family education, and process for sharing comments with unit leaders on a dedicated inpatient complex care service at a pediatric hospital. Families shared safety concerns via predischarge surveys (baseline and intervention) and mobile tool (intervention). Three physicians with patient safety expertise classified events. We compared safety-reporting baseline (via survey) versus intervention (via survey and/or mobile tool) with generalized estimating equations and sub-analyzed data by COVID-19-era and educational attainment. We also compared mobile tool-detected event rates with hospital voluntary incident reporting. RESULTS 232 baseline and 208 intervention parents participated (78.2% consented); 29.5% of baseline families versus 38.2% of intervention families reported safety concerns (P = .09). Adjusted odds ratio (95% CI) of families reporting safety concerns intervention versus baseline was 1.6 (1.0–2.6) overall, 2.6 (1.3–5.4) for those with < college education, and 3.1 (1.3–7.3) in the COVID-19–era subgroup. Safety concerns reported via mobile tool (34.6% of enrolled parents) included 42 medical errors, 43 nonsafety-related quality issues, 11 hazards, and 4 other. 15% of mobile tool concerns were also detected with voluntary incident reporting. CONCLUSIONS Family safety-reporting was unchanged overall after implementing a mobile reporting tool, though reporting increased among families with lower educational attainment and during the COVID-19 pandemic. The tool identified many events not otherwise captured by staff-only voluntary incident reporting. Hospitals should proactively engage families in reporting to improve safety, quality, and equity.
Article
Full-text available
The authors developed, tested, and replicated a model in which safety-specific transformational leadership predicted occupational injuries in 2 separate studies. Data from 174 restaurant workers (M age = 26.75 years, range = 15–64) were analyzed using structural equation modeling (LISREL 8; K. G. Jöreskog & D. Sörbom, 1993) and provided strong support for a model whereby safety-specific transformational leadership predicted occupational injuries through the effects of perceived safety climate, safety consciousness, and safety-related events. Study 2 replicated and extended this model with data from 164 young workers from diverse jobs (M age = 19.54 years, range = 14–24). Safety-specific transformational leadership and role overload were related to occupational injuries through the effects of perceived safety climate, safety consciousness, and safety-related events.
Article
Full-text available
This study evaluated the sensitivity of maximum likelihood (ML)- generalized least squares (GLS) - and asymptotic distribution-free (ADF)-based fit indices to model misspecification under conditions that varied sample size and distribution. The effect of violating assumptions of asymptotic robustness theory also was examined. Standardized root-mean-square residual (SRMR) was the most sensitive index to models with misspecified factor covariance(s) and Tucker–Lewis Index (1973; TLI)Bollen's fit index (1989; BL89) relative noncentrality index (RNI) comparative fit index (CFI) and the ML- and GLS-based gamma hat McDonald's centrality index (1989; Mc) and root-mean-square error of approximation (RMSEA) were the most sensitive indices to models with misspecified factor loadings. With ML and GLS methods we recommend the use of SRMR supplemented by TLI BL89 RNI CFI gamma hat Mc or RMSEA (TLI Mc and RMSEA are less preferable at small sample sizes). With the ADF method we recommend the use of SRMR supplemented by TLI BL89 RNI or CFI. Finally most of the ML-based fit indices outperformed those obtained from GLS and ADF and are preferable for evaluating model fit.
Article
Full-text available
Cross-sectional studies of attitude-behavior relationships are vulnerable to the inflation of correlations by common method variance (CMV). Here, a model is presented that allows partial correlation analysis to adjust the observed correlations for CMV contamination and determine if conclusions about the statistical and practical significance of a predictor have been influenced by the presence of CMV. This method also suggests procedures for designing questionnaires to increase the precision of this adjustment.
Article
Full-text available
This paper presents a model of team learning and tests it in a multimethod field study. It introduces the construct of team psychological safety—a shared belief held by members of a team that the team is safe for interpersonal risk taking—and models the effects of team psychological safety and team efficacy together on learning and performance in organizational work teams. Results of a study of 51 work teams in a manufacturing company, measuring antecedent, process, and outcome variables, show that team psychological safety is associated with learning behavior, but team efficacy is not, when controlling for team psychological safety. As predicted, learning behavior mediates between team psychological safety and team performance. The results support an integrative perspective in which both team structures, such as context support and team leader coaching, and shared beliefs shape team outcomes.
Article
In any investigation of a causal relationship between an X and a Y, the time when X and Y are measured is crucial for determining whether X causes Y, as well as the true strength of that relationship. Using past research and a review of current research, we develop a set of XY configurations that describe the main ways that causal relationships are represented in theory and tested in research. We discuss the theoretical. methodological, and analytical issues pertaining to when we measure X and Y and discuss the implications of this analysis for constructing better organizational theories.
Article
This article presents a leadership-based intervention model designed to modify supervisory monitoring and rewarding of subordinates' safety performance. Line supervisors received weekly feedback based on repeated episodic interviews with subordinates concerning the cumulative frequency of their safety-oriented interactions. This information identified the priority of safety over competing goals such as speed or schedules. Section managers received the same information and used it to communicate (high) safety priority. They also were trained to conduct episodic interviews to provide intermittent feedback after intervention, turning safety priority into an explicit performance goal. Safety-oriented interaction increased significantly in the experimental groups but remained unchanged in the control groups. This change in safety-oriented interaction was accompanied by significant (and stable) changes in minor-injury rate, earplug use, and safety climate scores during the postintervention period.
Article
Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
Article
The definition of effective pedagogical strategies for coaching and tutoring students according to their needs is one of the most important issues in Adaptive and Intelligent Educational Systems (AIES). The use of a Reinforcement Learning (RL) model allows the system to learn automatically how to teach to each student individually, only based on the acquired experience with other learners with similar characteristics, like a human tutor does. The application of this artificial intelligence technique, RL, avoids to define the teaching strategies by learning action policies that define what, when and how to teach. In this paper we study the performance of the RL model in a DataBase Design (DBD) AIES, where this performance is measured on number of students required to acquire efficient teaching strategies. Key words: web-based adaptive and intelligent educational systems, intelligent tutoring system, reinforcement learning, curriculum sequencing. 1.
Article
Despite the preponderance of research concerning creativity and ethical leadership, the possibility of why and how a leader's ethical behaviour may stimulate follower creativity has not been examined. Employing an online experimental design, we applied a virtue ethics framework to examine associations between subordinates' perceptions of their leader's integrity and their intention to think creatively and to engage in risk taking. Subordinates' perceptions of their leader's behavioural integrity positively predicted their sense of psychological safety. Moreover, psychological safety positively predicted followers' intention to think creatively and to take risks. Copyright © 2011 ASAC. Published by John Wiley & Sons, Ltd.RésuméMalgré le grand nombre de recherches consacrées à la créativité et au leadership éthique, la question de savoir comment et pourquoi le comportement éthique du leader stimulerait la créativité de ceux qui le suivent n'a pas retenu l'attention des chercheurs. À partir d'une conception expérimentale en ligne, nous avons utilisé le cadre de la vertu éthique pour examiner le lien entre les perceptions que les subordonnés ont de l'intégrité de leur leader et leur intention de penser de façon critique et de prendre des risques. L'étude montre que les perceptions que les subordonnés ont de l'intégrité comportementale de leur leader prédisent positivement leur sens de sécurité psychologique. Par ailleurs, la sécurité psychologique prédit positivement les intentions des suiveurs de penser de façon critique et de prendre des risques. Copyright © 2011 ASAC. Published by John Wiley & Sons, Ltd.
Article
Behavioral integrity is the perceived fit between espoused and enacted values. We propose that the maintenance of behavioral integrity is a highly problematic and consequential element of the successful management of change. Support for this view is drawn from the literatures on management fads, transformational leadership, trust and source credibility. Practical implications are developed.