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Gaps in the continuity of care and progress on patient safety

Authors:
  • Adaptive Capacity Labs

Abstract

Complex systems involve many gaps between people, stages, and processes. Analysis of accidents usually reveals the presence of many gaps, yet only rarely do gaps produce accidents. Safety is increased by understanding and reinforcing practitioners' normal ability to bridge gaps. This view contradicts the normal view that systems need to be isolated from the unreliable human element. We know little about how practitioners identify and bridge new gaps that occur when systems change.
developing such systems and many are pursuing inter-
net based applications which would allow ordering and
provide a common platform. Information technology
should also improve safety in other parts of the
process, including dispensing and administering, but
the full benefits will not be achieved until all the com-
ponents are electronically linked.
The net result of the above will be a much safer sys-
tem, which will still require substantial human guidance.
Moreover, the people using the system will have fewer
menial tasks and a more rewarding role: physicians will
discuss drug choices with patients and other providers
rather than worrying about missing an allergy; pharma-
cists will deal with complex drug orders, counsel
physicians about choices, and investigate problems that
occur, rather than simply filling prescriptions; and
nurses will talk with patients and monitor for adverse
reactions, rather than just passing pills.
I thank Joshua Borus for help with preparation of the
manuscript.
Competing interests: DB has received honoraria for
speaking from the Eclipsys Corporation, which has licensed the
rights to the Brigham and Women’s Hospital Clinical
Information System for possible commercial development, and
from Automated Healthcare, which makes robots that dispense
drugs. He is also a consultant and serves on the advisory board
for McKesson MedManagement, a company that helps hospitals
to prevent adverse drug events, and is on the clinical advisory
board for Becton Dickinson.
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events in hospitalized patients. Excess length of stay, extra costs, and
attributable mortality. JAMA 1997;277:301-6.
6 Bates DW, Spell N, Cullen DJ, Burdick E, Laird N, Peterson LA, et al: The
costs of adverse drug events in hospitalized patients. JAMA 1997;227:
307-11.
7 Bates DW, Leape LL, Petrycki S. Incidence and preventability of adverse
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8 Sheridan TB, Thompson JM. People versus computers in medicine. In:
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9 Bates DW, Leape LL, Cullen DJ, Laird N, Petersen LA, Teich JM, et al.
Effect of computerized physician order entry and a team intervention on
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10 Bates DW, Teich J, Lee J,Seger D, Kuperman GJ, Boyle D,et al. The impact
of computerized physician order entry on medication error prevention.
J Am Med Informatics Assoc 1999;6:313-21.
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JF Jr, et al. A computer-assisted management program for antibiotics and
other antiinfective agents. N Engl J Med 1998;338:232-8.
12 Raschke RA, Golihare B, Wunderlich TA, Guidry JR, Liebowitz AI, Peirce
JC, et al. A computer alert system to prevent injury from adverse drug
events. Development and evaluation in a community hospital. JAMA
1998;280:1317-20.
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ment system. Am J Hosp Pharm 1989;46:1380-5.
14 Barker KN. Ensuring safety in the use of automated medication dispens-
ing systems. Am J Health Syst Pharm 1995;52:2445-7.
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counseling in community practice. Am Pharm 1995;35:25-33.
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drug-dispensing device on medication errors. Am J Health Syst Pharm
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18 Cullen DJ, Bates DW,Small SD,Cooper JB, Nemeskal AR, Leape LL. The
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of adverse drug events in hospital patients. JAMA 1991;266:2847-51.
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21 Massachusetts Hospital Association Bulletin 1999 March 3.
Gaps in the continuity of care and progress on
patient safety
Richard I Cook, Marta Render, David D Woods
The patient safety movement includes a wide variety of
approaches and views about how to characterise patient
safety, study failure and success,and improve safety. Ulti-
mately all these approaches make reference to the
nature of technical work of practitioners at the “sharp
end” in the complex, rapidly changing, intrinsically haz-
ardous world of health care.12 It is clear that a major
activity of technical workers (physicians, nurses, techni-
cians, pharmacists, and others) is coping with complexity
and, in particular, coping with the gaps that complexity
spawns.3Exploration of gaps and the way practitioners
anticipate, detect, and bridge them is a fruitful means of
pursuing robust improvements in patient safety.
Gaps
The notion of gaps is simple. Gaps are discontinuities
in care. They may appear as losses of information or
momentum or interruptions in delivery of care. In
practice gaps rarely lead to overt failure. Rather, most
gaps are anticipated, identified, and bridged and their
Summary points
Complex systems involve many gaps between
people, stages, and processes
Analysis of accidents usually reveals the presence
of many gaps, yet only rarely do gaps produce
accidents
Safety is increased by understanding and
reinforcing practitioners’ normal ability to bridge
gaps
This view contradicts the normal view that
systems need to be isolated from the unreliable
human element
We know little about how practitioners identify and
bridge new gaps that occur when systems change
Education and debate
VA Patient Safety
Center of Inquiry
(GAPS), University
of Chicago,
Chicago, IL 60637,
USA
Richard I Cook
associate director
VA Patient Safety
Center of Inquiry
(GAPS), Cincinnati,
VAMC, Cincinnati,
OH 45220, USA
Marta Render
director
continued over
BMJ 2000;320:791–4
791BMJ VOLUME 320 18 MARCH 2000 www.bmj.com
consequences nullified by the technical work done at
the sharp end. These gap driven activities are so
intimately woven into the fabric of technical work that
neither outsiders nor insiders recognise them as
distinct from other technical work.
Gaps are most readily seen when they are aligned
with organisational and institutional boundaries that
mark changes in responsibility or authority, different
roles of professionals, or formal divisions of labour. For
example, the loss of coherence in a plan of care that
occurs during changes of shift is a kind of gap. Another
example is the loss of information that sometimes
accompanies transfers of patients from one facility to
another, as when a patient is discharged from hospital
to a rehabilitation facility. Gaps can appear within the
processes of care and even in association with single
practitioners. For example, when a nurse cares for two
or more patients and must divide attention between
them there is a potential for gaps in the continuity of
care. Skilfully managing the division of attention is a
means for bridging gaps
for example, by increasing
the frequency of “checking” on the more ill patient or
by putting off routine activities such as charting to pro-
vide longer periods for observation. But bridging has
its own costs and vulnerabilities. To bridge a gap is not
to eliminate it; some bridges are robust and reliable but
others are frail, brittle, and easily undone by outside
circumstances.
Gaps may arise from the unintended side effects of
organisational and technological change. Such gaps
may be either entirely new gaps or old ones that were
regularly bridged before the change undermined the
effectiveness of established bridges. To continue the
previous example, consider the effects of dividing
nursing work between nurses and “patient care techni-
cians.” The economic benefits of division are substan-
tial: it allows the nurse to spend virtually the entire
work shift concentrating on high level tasks that
require certain credentials (giving intravenous drugs,
for example) while other tasks are given to less skilled
personnel. Among the side effects of such a change,
however,are restrictions on the ability of the individual
nurse to anticipate and detect gaps in the care of the
patients. The nurse now has more patients to track,
requiring more (and more complicated) inferences
about which patient will next require attention, where
monitoring needs to be more intensive, and so forth.
The change also limits the restructuring of work to
adjust to changing demands for attention.
Gaps and technical work
Post hoc analysis often attributes healthcare accidents
to “human error.”This attribution is heavily influenced
by hindsight bias.4More detailed exploration of the
events, however, shows multiple gaps. For example,
although popular (and regulatory) opinion regarded
the surgeon as the proximate “cause” of the Florida
“wrong leg” amputation case (box),there were multiple
contributors to that event including misleading
information on the operative consent and incorrect
posting of the case on the daily schedule board.5Simi-
larly, in the Colorado nurses case a variety of
breakdowns in continuity eventually led to the
intravenous injection of benzathine penicillin and
death of the newborn patient.6What these cases have
in common (aside from being celebrated in the popu-
lar press as evidence of healthcare delivery run amok)
is the presence of multiple gaps that practitioners were
unsuccessful in bridging.
Gaps generate accidents only rarely. In most
instances, practitioners are able to detect and bridge
gaps. Accidents result from breakdowns in the mecha-
nisms that practitioners use to anticipate, detect, and
bridge gaps. The opportunities for failure are many but
the incidence of failure is low because practitioners are
generally effective in bridging gaps. The irony is that
stakeholders can attribute failure to human error only
because practitioners in these roles usually bridge the
gaps and prevent any escalation toward bad conse-
quences for patients.
This is tantamount to claiming that practitioners
create safety
a claim that is at once controversial and
intriguing because it flies in the face of conventional
Celebrated cases and folk models of human error
A few celebrated accidents have shaped public perceptions of safety in
health care. Simple stories of these events obscure the multiple factors,
interacting goals, and conflicting constraints that confronted practitioners
and gave rise to the accidents. These simple stories “explain” how accidents
happen and become the basis for folk models of human error. These folk
models are strongly (but wrongly) held by the public and also by healthcare
professionals, regulators, and managers. Based on these folk models of
human error, various ineffective countermeasures are proposed
including
increased sanctions, blame and train approaches, and new technology to
prevent human error.
Among the celebrated cases in the United States are the 1995 Florida
“wrong leg” case and the 1996 Colorado nurses case. The first story of each
case produced a simple indictment of human error as the “cause” of the
accident, but detailed study has shown that multiple factors were involved
and that the accident followed the pattern characteristic of complex system
failures.1In both cases, strong censure of practitioners followed public
attention.
Florida wrong leg case5
Celebrated first story—Capricious surgeon amputates contralateral leg rather
than the one intended. Surgeon disciplined by state licensing board.
Some factors not included in first story:
Both legs were diseased; contralateral leg needed amputation as well
Amputation of contralateral leg was proposed to patient
Consent identified contralateral leg as target of amputation
Operating room schedule identified contralateral leg as target of
amputation
Patient was anesthetised and contralateral leg was prepped and draped
prior to surgeon’s entry into theatre
Colorado nurses case6
Celebrated first story— Three nurses administer benzathine penicillin
intravenously,causing the death of a neonate. Nurses charged with criminal
negligence. One nurse pleads guilty to a reduced charge; another fights the
charge and is exonerated.
Some factors not included in first story:
Documentation of mother’s prior treatment for syphillis was not available,
prompting consultations with a doctor that led to order for treatment of
neonate with penicillin; it is doubtful that any treatment was required
Pharmacist miscalculated dose, resulting in 10 times overdose (1.5 million
units instead of 150 000 units) being delivered to neonatal unit
Nurses, concerned about giving large volume of intramuscular drug to a
newborn, sought guidance about changing to intravenous administration
Syringe label was difficult to read
Available reference materials were ambiguous about acceptable routes of
administration
Drug was seldom used
Education and debate
VA Patient Safety
Center of Inquiry
(GAPS), Ohio State
University,
Columbus, OH
43210, USA
David D Woods
associate director
Correspondence to:
R I Cook, University
of Chicago, 5841 S.
Maryland Avenue,
MC 4028, Chicago,
IL 60637, USA
ri-cook@
uchicago.edu
792 BMJ VOLUME 320 18 MARCH 2000 www.bmj.com
views of both how accidents occur and also how safety
might be increased.7The conventional view holds that
the system is safe by design but can be degraded by the
failure of its human components. Thus, it is claimed,
efforts to increase safety should be directed at guarding
the system against the unreliable human element, in
most cases by isolating practitioners from the system
using technology, rules, guidelines, etc.
The alternative view
The alternative view, proposed here, is that accidents
occur because conditions overwhelm or nullify the
mechanisms practitioners normally use to detect and
bridge gaps. Safety is increased primarily by understand-
ing and reinforcing practitioners’ ability to detect and
bridge gaps. Because practitioners create safety locally,
efforts to forestall errors by isolating practitioners from
the system will misfire. Attempts at isolation are likely to
decrease practitioners’ ability to detect and bridge gaps
and lead to new paths to and forms of failure.8
According to this alternative view, progress on
safety begins with the development of a detailed under-
standing of technical work as experienced by practition-
ers in context.9Much of human practitioners’ expertise
in action revolves around gaps. Work in the real world
involves detecting when things have gone awry;
discriminating between data and artefact; discarding
red herrings; knowing when to abandon approaches
that will ultimately become unsuccessful; and reacting
smoothly to escalating consequences. It involves recog-
nising that hazards are approaching; detecting and
managing incipient failure; and, when failure cannot be
avoided, working to recover from failure.
Past characterisations of safety and its relation to
technical work have emphasised deliberate “violations”
or failure to adhere to narrow procedural guides. But
these characterisations reflect idealised models of what
technical work entails; they largely ignore the presence
of gaps or the need to cope with them. The focus on
the pervasiveness of “error” in healthcare settings mis-
takes the nature of how the system works to produce
results.10 As Barley and Orr observe: “anomalies that
surface in aggregate analyses of technical work . . . are
paralleled by, if not rooted in, disjunctures and ironies
that pervade day-to-day life in technical settings.9It is
important to note that the anomalies arise not because
human behaviour is irreducibly irrational but because
the aggregate analyses do not take account of the pres-
ence of gaps or the demands that bridging them places
on sharp end workers.
Coping with gaps
When gaps recur and there is sufficient exposure to
them, formal efforts to create bridges in anticipation
are common. Indeed, it is possible to use the many
types of forms and documents that exist in health care
as pointers to the presence of and response to gaps.
Take the example of forms used to communicate
information between facilities when transferring the
responsibility and authority for patient care. The use of
discharge planning documents marks the anticipation
of a certain type of gap and also of an effort to create a
bridge to permit care to flow smoothly over the gap.
How well the bridge serves the purpose depends on
many factors including the institutions involved,
characteristics of the patient, and so forth. These are
empirical questions rather than theoretical ones, and
the issues seem mundane.
Similarly, many of the social and organisational
constructions that fill health care reflect the presence
of gaps and efforts to overcome them: the various
“report” activities between shifts and between
caregivers, for instance. These easily seen gaps are a
useful model for looking at the more heterogeneous
gaps that permeate practice.
Gaps are not always apparent, nor are appropriate
bridging reactions always clear. There may be only the
subtlest hints (or no hints at all) that a gap in an
individual’s care is present. Continuing the previous
example, some inconsistency between the drugs listed
in a transfer document and the list of conditions in the
patient’s history might arouse suspicion that some-
thing is missing in the history. This is a case of data in
the world triggering awareness of a potential gap.
Identifying gaps
Much experience and expertise involves having in
mind a catalogue of conditions and situations that hint
that gaps may be present, knowing about the kinds of
gaps that can and are likely to occur, and being able to
delineate existing gaps and techniques for bridging
them.11 In addition, much of what counts for high qual-
ity performance in health care involves anticipating
gaps that might occur in the future. Anticipating allows
the effects of future gaps to be forestalled either by
directing care in such a way that the gaps are never
encountered or by creating bridges that will span the
gaps if they arise. For example, physicians and nurses
sometimes keep private notes, anticipating that the
official medical record will become unavailable or be
awkward to use in the future.
A crucial aspect of gaps is how new gaps are identi-
fied. New technology, new organisational structures,
new techniques and knowledge, and new demands
change the world of technical work
often in
unexpected ways. Changes may create new, unfamiliar
gaps or may change the character of old, familiar ones
so that previously constructed bridges do not span
them. A critical (and so far unexplored) safety issue is
how practitioners recognise that new gaps are present
in their work world or that the characteristics of famil-
iar gaps have changed. Indeed, the Colorado nurses
Coping with discontinuities in care is a major activity of health workers
ULRIKE PREUSS
Education and debate
793BMJ VOLUME 320 18 MARCH 2000 www.bmj.com
case has the hallmarks of a gap that arises through
change and, undetected and unappreciated, partici-
pates in catastrophe. To plan effective change, it is
essential to know how people detect and understand
the new gaps produced by change.
Gaps as tools for research
The enormous complexity of health care is a daunting
obstacle to those trying to study safety systematically.
Everything, it seems, is connected to everything else,
and every thread of action and cause is wound into a
great Gordian knot. The pursuit of gaps as a research
target is a means of cutting through the knot. Gaps
themselves mark the areas of vulnerability and show
the mechanism by which complexity flows through
health care to individual patients. Pursuing gaps is a
method that allows technical work to guide both
research into and improvement in safety.
Future work on gaps might be approached in three
different ways.Firstly, a catalogue of gaps would yield a
map of many of the complexities and hazards in work
at the sharp end of systems. Secondly, tracing out the
details of how practitioners anticipate, detect, and
bridge gaps within the context of actual practice would
provide the outlines of what constitutes practitioners’
expertise. Thirdly, discovering how gaps are created by
organisational and institutional change would link the
processes of management to the real demands
confronting practitioners. Together, these explorations
of gaps can provide a coherent, usable view of patient
safety, a kind of landscape that can be used to identify
future safety problems, anticipate the impact of
change, and measure progress.
Funding: Preparation of this paper was made possible in part by
support from the Department of Veterans Affairs Midwest
Patient Safety Center of Inquiry (GAPS).
Competing interests: None declared.
1 Cook RI, Woods DD. Operating at the sharp end: the complexity of
human error. In: Bogner MS, ed. Human er ror in medicine. Hillsdale, NJ:
Lawrence Erlbaum, 1994:255-310.
2 National Patient Safety Foundation. Agenda for research and
development in patient safety.24 May 1999. www.ama-assn.org/med-sci/
npsf/research/research.htm (accessed 22 Nov 1999).
3 Woods DD. Coping with complexity: the psychology of human behavior
in complex systems. In: Goodstein LP, Andersen HB, Olsen SE, eds. Ta s k s ,
errors and mental models. London: Taylor and Francis, 1988:128-48.
4 Woods DD, Cook RI. Perspectives on human error: hindsight biases and
local rationality. In: Durso RS, ed. Handbook of applied cognition. New York:
Wiley, 1999:141-71.
5 Cook RI, Woods DD,Miller C. A tale of two stor ies:contrasting views of patient
safety. Chicago: National Patient Safety Foundation, 1998. (Report from a
workshop on assembling the scientific basis for progress on patient
safety; available as PDF file via www.npsf.org)
6 Senders JW, Schneider PJ, McCadden P, Grant RS, Torres CH, Cohen
MR, et al. Error, negligence, crime: the Denver nurses trial. Enhancing
patient safety and reducing errors in health care proceedings. Chicago: National
Patient Safety Foundation, 1999:65-76.
7 Cook RI. Two years before the mast: learning how to learn about patient
safety. Enhancing patient safety and reducing errors in health care proceedings.
Chicago: National Patient Safety Foundation,1999:61-4.
8 Rasmussen J, Pejtersen AM, Goodstein LP. At the periphery of effective
coupling: human error. In: Cognitive systems engineering. New York: Wiley,
1994:135-59.
9 Barley SR, Orr JE, eds. Between craft and science: technical work in US settings.
Ithaca, NY: ILR Press, 1997:16.
10 Corrigan J, Kohn L, Donaldson M, eds. To er r is human: building a safer
health system. Washington DC:National Academy Press, 1999.
11 Klein G. Sources of power: how people make decisions. Cambridge, MA:
MIT Press, 1998.
Detecting and reporting medical errors: why the dilemma?
Daniel A Pietro, Linda J Shyavitz, Richard A Smith, Bruce S Auerbach
Errors in medicine are a major cause of harm to
patients. Though there is little controversy among
clinicians about the importance of accurate and
reliable clinical data and the imperative of correct
diagnosis, that commitment to exactitude dissolves
when errors happen. Then, clinicians and managers
may behave in a way that limits investigation. We often
use the subjectivity and complexity of medicine to
rationalise and justify error.
Many factors explain this reluctance to investigate
and to accept error. If we are to design effective systems
to prevent errors from affecting patients, we must
understand these factors. The following case study
illustrates the concerns, fears, and practical problems
that we faced in conducting an evaluation of misinter-
preted prostate biopsies.
The problem and the decision
In February 1999 a urologist at the Sturdy Memorial
Hospital in Attleboro, Massachusetts, requested a
retrospective review of a 1996 biopsy result because of
the patient’s clinical course and the results of a biopsy
in 1999. The review revealed that the 1996 report was
incorrect. The urologist and pathologist (neither of
whom was responsible for the 1996 reading)
implemented appropriate management for the
affected patient.
When they discovered a second misread prostate
biopsy from the same period the urologist and
pathologist became concerned that the frequency of
these errors was higher than “expected.” Fears about
malpractice suits and damaged reputations emerged.
The potential of a bigger problem meant risk to more
patients but also greater risk to the physicians whether
Summary points
Detection and prevention of errors are obvious
goals for any organisation
In reality, however, medicine’s approach to error
has been limited and inadequate
Motivational factors, both real and perceived, that
influence how errors in medicine are handled
must be identified, discussed,and changed if the
“patient safety movement” is to succeed
Our experience with misread prostate biopsies
illustrates the concerns, fears, and practical
problems encountered when dealing with the
discovery of medical errors
Education and debate
Sturdy Memorial
Hospital, 211 Park
Street, PO Box
2963, Attleboro,
MA 02703-0963,
USA
Daniel A Pietro
medical director
Linda J Shyavitz
president and CEO
Richard A Smith
chief of pathology
Bruce S Auerbach
chief of ambulatory
and emergency
services
Correspondence to:
D A Pietro
Dpietro407@
aol.com
BMJ 2000;320:794–6
794 BMJ VOLUME 320 18 MARCH 2000 www.bmj.com
... Respecto a continuidad asistencial en CaMa, se encuentran estudios que muestran disparidades sustanciales en la detección, diagnóstico, tratamiento y supervivencia relacionadas con la edad, el tipo de seguro y la posición socioeconómica [20]. La falta de continuidad está asociada con un mayor número de errores médicos y reducción en la seguridad del paciente, en tanto que estar en tratamiento con un mismo médico a largo plazo, genera beneficios en la detección del cáncer de mama, la disminución en el uso de la atención por urgencias, menor probabilidad de hospitalizaciones y una mejor atención preventiva [21,22]. ...
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El cáncer de mama se constituye en una enfermedad de gran impacto a nivel mundial ya que ocupa el segundo lugar general entre todos los cánceres luego del cáncer de pulmón. Según las estimaciones reportadas en el año 2008 por la Agencia Internacional para Investigación en Cáncer (IARC, por sus siglas en inglés), es la quinta causa de muerte por cáncer en general; es el más frecuente entre las mujeres, con un estimado de 1,38 millones de nuevos casos (23% de todos los cánceres); y se establece como la primera causa de muerte por cáncer en la mujer (458.000 defunciones). Se atribuye el incremento en la incidencia de este tipo de cáncer al aumento en la esperanza de vida al nacer, a la urbanización y a la adopción de modos de vida propios de países industrializados.
... An integrated approach to health system development through the understanding of concepts makes up a resilient healthcare system. While the complexity and contextualization of hospital system and a local government system differ, the study of Zhong relates to literature definition of resilience (Cook, et al., 2000), (Cook and Nemeth, 2006), (Nemeth, et al., 2008) and resilient healthcare system (WHO, 2011), (Kruk, et al., 2017). ...
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Aim The aim of this study was to visualize vulnerabilities and explore the dynamics of inter‐professional collaboration and organizational adaptability in the context of care transitions for patients with complex care needs. Design An ethnographic design using multiple convergent data collection techniques. Methods Data collection involved document review, participant observations and interviews with healthcare and social care professionals (HSCPs). Narrative analysis was employed to construct two illustrative patient scenarios, which were then examined using the Functional Resonance Analysis Method (FRAM). Thematic analysis was subsequently applied to synthesize the findings. Results Inconsistencies in timing and precision during care transitions pose risks for patients with complex care needs as they force healthcare systems to prioritize structural constraints over individualized care, especially during unforeseen events outside regular hours. Such systemic inflexibility can compromise patient safety, increase the workload for HSCPs and strain resources. Organizational adaptability is crucial to managing the inherent variability of patient needs. Our proposed ‘safe care transition pathway’ addresses these issues, providing proactive strategies such as sharing knowledge and increasing patient participation, and strengthening the capacity of professionals to meet dynamic care needs, promoting safer care transitions. Conclusion To promote patient safety in care transitions, strategies must go beyond inter‐professional collaboration, incorporating adaptability and flexible resource planning. The implementation of standardized safe care transition pathways, coupled with the active participation of patients and families, is crucial. These measures aim to create a resilient, person‐centred approach that may effectively manage the complexities in care transitions. Implications The recommendations of this study span the spectrum from policy‐level changes aimed at strategic resource allocation and fostering inter‐professional collaboration to practical measures like effective communication, information technology integration, patient participation and family involvement. Together, the recommendations offer a holistic approach to enhance care transitions and, ultimately, patient outcomes. Reporting Method Findings are reported per the Consolidated Criteria for Reporting Qualitative research (COREQ). Patient or Public Contribution No patient or public contribution.
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The thesis is about 1. How patient safety culture can be measured by surveying perceptions of healthcare staff. 2. How staff perceptions vary according to hierarchical position. 3. How the patients safety culture measurements vary between organizational units, and significantly so at the lowest organizational level. The thesis concludes that measurements of patient safety culture are essential opportunities for healthcare managers who want to improve patient safety, and that variation at the lowest organizational level, should not be ignored.
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Aims and Objectives To explore the professional practice of transferring patients with lung cancer from hospitals to their homes through the experiences of healthcare professionals (HCPs) working in hospitals. Background Hospital‐to‐home transitions are particularly challenging for vulnerable patients, including lung cancer patients, and could threaten patient safety. There is a need to improve coordination between specialised and community care and to develop knowledge on the practice of transferring patients with lung cancer. Design A descriptive qualitative design was used. Consolidated criteria for reporting qualitative research (COREQ) were followed for reporting. Methods Six focus group interviews with nurses and two focus group interviews with physicians at pulmonary medicine units in two hospitals in Norway were conducted. Qualitative content analysis was used to analyse the focus group interviews. Results Patients' vulnerability and gratitude motivated HCPs to ensure that patients experienced the best hospital‐to‐home transition. The following obstacles made it challenging to plan for a good hospital‐to‐home transition and to transfer the responsibility for the patient to the municipality: lack of time and routines to attend to the patient's individual needs, lack of established standards for patient information, absence of resources and predictability, and inadequate communication tools for collaborating with the primary healthcare services. Conclusion The healthcare system does not provide hospital units and HCPs with adequate resources to accommodate the individual needs of lung cancer patients in hospital‐to‐home transitions. HCPs compensate with supplementary initiatives to secure patient safety, but the additional responsibility and tasks leave them overworked. Relevance to Clinical Practice The study provides knowledge on lung cancer patients' needs in hospital‐to‐home transitions and how HCPs try to ensure patient safety by compensating for the healthcare system's deficiencies. Public Contribution A reference group comprising one patient representative from the Norwegian Cancer Society and five HCPs with varied relevant backgrounds contributed to the overall design, recruited participants, and provided feedback on the interview guide.
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Background Midwives are primary providers of care for childbearing women globally and there is a need to establish whether there are differences in effectiveness between midwife continuity of care models and other models of care. This is an update of a review published in 2016. Objectives To compare the effects of midwife continuity of care models with other models of care for childbearing women and their infants. Search methods We searched the Cochrane Pregnancy and Childbirth Trials Register, ClinicalTrials.gov, and the WHO International Clinical Trials Registry Platform (ICTRP) (17 August 2022), as well as the reference lists of retrieved studies. Selection criteria All published and unpublished trials in which pregnant women are randomly allocated to midwife continuity of care models or other models of care during pregnancy and birth. Data collection and analysis Two authors independently assessed studies for inclusion criteria, scientific integrity, and risk of bias, and carried out data extraction and entry. Primary outcomes were spontaneous vaginal birth, caesarean section, regional anaesthesia, intact perineum, fetal loss after 24 weeks gestation, preterm birth, and neonatal death. We used GRADE to rate the certainty of evidence. Main results We included 17 studies involving 18,533 randomised women. We assessed all studies as being at low risk of scientific integrity/trustworthiness concerns. Studies were conducted in Australia, Canada, China, Ireland, and the United Kingdom. The majority of the included studies did not include women at high risk of complications. There are three ongoing studies targeting disadvantaged women. Primary outcomes Based on control group risks observed in the studies, midwife continuity of care models, as compared to other models of care, likely increase spontaneous vaginal birth from 66% to 70% (risk ratio (RR) 1.05, 95% confidence interval (CI) 1.03 to 1.07; 15 studies, 17,864 participants; moderate‐certainty evidence), likelyreduce caesarean sections from 16% to 15% (RR 0.91, 95% CI 0.84 to 0.99; 16 studies, 18,037 participants; moderate‐certainty evidence), and likely result in little to no difference in intact perineum (29% in other care models and 31% in midwife continuity of care models, average RR 1.05, 95% CI 0.98 to 1.12; 12 studies, 14,268 participants; moderate‐certainty evidence). There may belittle or no difference in preterm birth (< 37 weeks) (6% under both care models, average RR 0.95, 95% CI 0.78 to 1.16; 10 studies, 13,850 participants; low‐certainty evidence). We are very uncertain about the effect of midwife continuity of care models on regional analgesia (average RR 0.85, 95% CI 0.79 to 0.92; 15 studies, 17,754 participants, very low‐certainty evidence), fetal loss at or after 24 weeks gestation (average RR 1.24, 95% CI 0.73 to 2.13; 12 studies, 16,122 participants; very low‐certainty evidence), and neonatal death (average RR 0.85, 95% CI 0.43 to 1.71; 10 studies, 14,718 participants; very low‐certainty evidence). Secondary outcomes When compared to other models of care, midwife continuity of care models likely reduce instrumental vaginal birth (forceps/vacuum) from 14% to 13% (average RR 0.89, 95% CI 0.83 to 0.96; 14 studies, 17,769 participants; moderate‐certainty evidence), and may reduceepisiotomy 23% to 19% (average RR 0.83, 95% CI 0.77 to 0.91; 15 studies, 17,839 participants; low‐certainty evidence). When compared to other models of care, midwife continuity of care models likelyresult in little to no difference in postpartum haemorrhage (average RR 0.92, 95% CI 0.82 to 1.03; 11 studies, 14,407 participants; moderate‐certainty evidence) and admission to special care nursery/neonatal intensive care unit (average RR 0.89, 95% CI 0.77 to 1.03; 13 studies, 16,260 participants; moderate‐certainty evidence). There may be little or no difference in induction of labour (average RR 0.92, 95% CI 0.85 to 1.00; 14 studies, 17,666 participants; low‐certainty evidence), breastfeeding initiation (average RR 1.06, 95% CI 1.00 to 1.12; 8 studies, 8575 participants; low‐certainty evidence), and birth weight less than 2500 g (average RR 0.92, 95% CI 0.79 to 1.08; 9 studies, 12,420 participants; low‐certainty evidence). We are very uncertain about the effect of midwife continuity of care models compared to other models of care on third or fourth‐degree tear (average RR 1.10, 95% CI 0.81 to 1.49; 7 studies, 9437 participants; very low‐certainty evidence), maternal readmission within 28 days (average RR 1.52, 95% CI 0.78 to 2.96; 1 study, 1195 participants; very low‐certainty evidence), attendance at birth by a known midwife (average RR 9.13, 95% CI 5.87 to 14.21; 11 studies, 9273 participants; very low‐certainty evidence), Apgar score less than or equal to seven at five minutes (average RR 0.95, 95% CI 0.72 to 1.24; 13 studies, 12,806 participants; very low‐certainty evidence) and fetal loss before 24 weeks gestation (average RR 0.82, 95% CI 0.67 to 1.01; 12 studies, 15,913 participants; very low‐certainty evidence). No maternal deaths were reported across three studies. Although the observed risk of adverse events was similar between midwifery continuity of care models and other models, our confidence in the findings was limited. Our confidence in the findings was lowered by possible risks of bias, inconsistency, and imprecision of some estimates. There were no available data for the outcomes: maternal health status, neonatal readmission within 28 days, infant health status, and birth weight of 4000 g or more. Maternal experiences and cost implications are described narratively. Women receiving care from midwife continuity of care models, as opposed to other care models, generally reported more positive experiences during pregnancy, labour, and postpartum. Cost savings were noted in the antenatal and intrapartum periods in midwife continuity of care models. Authors' conclusions Women receiving midwife continuity of care models were less likely to experience a caesarean section and instrumental birth, and may be less likely to experience episiotomy. They were more likely to experience spontaneous vaginal birth and report a positive experience. The certainty of some findings varies due to possible risks of bias, inconsistencies, and imprecision of some estimates. Future research should focus on the impact on women with social risk factors, and those at higher risk of complications, and implementation and scaling up of midwife continuity of care models, with emphasis on low‐ and middle‐income countries.
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