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How does change occur following a theoretically based self-management intervention for type 2 diabetes

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The purpose of this study was to test the extent that constructs from two theoretical models (self-regulatory theory and social cognitive theory) mediated change in outcomes following a self-management intervention. One hundred and twenty four individuals with type 2 diabetes who had participated in a randomised controlled trial of a diabetes self-management programme were analysed for the extent that illness beliefs and self-efficacy mediated change in self-management behaviours and illness specific quality of life. Exercise specific self-efficacy significantly mediated change in exercise at three months (B = .03; .01, p < .05) while monitoring specific self-efficacy mediated change in monitoring behaviour at both three (B = .04; .01, p < .01) and nine months follow-up (B = 5.97; 1.01, p < .01). Belief in control over diabetes mediated change in illness specific quality of life at three months (B = -.07; .28, p < .05) and nine months (B = .79; .28, p < .01) follow-ups, as well as change in exercise behaviour at immediately post-intervention (B = -.12; .17, p < .05). Behaviour-specific self-efficacy may have a stronger role in mediating self-management behaviours than illness beliefs; however, belief in control over diabetes may be important to manipulate for change in quality of life. This suggests different theoretical constructs may mediate change dependent on outcome.
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... Wang et al., 2018;Wilcox et al., 2008). There were five studies conducted in the UK (Benitez et al., 2015;Clarkson et al., 2009;Jolly et al., 2018;Mason et al., 2012;Steed et al., 2014) and three in Sweden (Fritz et al., 2019;Milos et al., 2013;Zakrisson et al., 2019) and one each from New Zealand (Whittaker et al., 2011), Brazil (Meurer et al., 2019, Colombia (Morales et al., 2019), Belgium (Dobbels et al., 2017), Australia (James et al., 2017), Netherland (Bouma et al., 2018), Canada , Spain (López et al., 2007), and Botswana (Norr et al., 2004). Only three of the included studies were conducted in Asia; one each from This preprint research paper has not been peer reviewed. ...
... Electronic copy available at: https://ssrn.com/abstract=4298109 P r e p r i n t n o t p e e r r e v i e w e d Mason et al., 2012;Mayor et al., 2010;Meurer et al., 2019;Milos et al., 2013;Miura et al., 2004;Peterson et al., 2012;Pinto et al., 2002;Pinto et al., 2001;Steed et al., 2014;H.-y. Wang et al., 2018;Whittaker et al., 2011;Zakrisson et al., 2019). ...
... The eligibility criteria of the participants varied across study designs. Two of the studies (Glasgow et al., 2006;Steed et al., 2014) included patients with Type-2 diabetes, and three studies (Coultas et al., 2018;Jolly et al., 2018;Zakrisson et al., 2019) included patients with physician-diagnosed chronic obstructive pulmonary disease (COPD), and two studies (Ihwanudin et al., 2015;Miura et al., 2004) included patients with hypertension. Only one study of the included 39 studies recruited young adolescents aged 15-19 as the study participant (Morales et al., 2019). ...
... Those not reporting the objective outcomes at any follow-ups were considered to have unclear risk. The risk of bias due to incomplete outcome data was considered high in four studies (Sturt et al. 2008, Mohamed et al. 2013, Mash et al. 2014, Steed et al. 2014, because the amount of missing data was large or not appropriately handled or having significance difference between completers and dropouts. For the remaining studies the risk of bias was low or unclear. ...
... We judged the reporting bias by looking at whether the expected outcomes stated in the articles were reported at the end. The risk of bias due to selective reporting was judged low for all studies, except for the unclear risk in two studies which did not give sufficient information for all expected outcomes (Beverly et al. 2013, Steed et al. 2014. ...
... We pooled the results of 16 studies for the random-effects meta-analysis of theory-based educational interventions on HbA1c (Figure 3a). One study was not pooled for HbA1c as the endpoint of nine months' follow-up was not stated in the article (Steed et al. 2014). Compared with routine care, theory-based self-management educational interventions were more likely to reduce HbA1c; the pooled WMD was À0Á38 (Unit: %), 95%CI [À0Á51, À0Á26]. ...
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... In a RCT study, a program for improvement of worksite lifestyle in prediabetes employees resulted in better behavioral outcomes such as PA and diet self-efficacy and goal commitment [40]. A self-management coaching program on lifestyle changes had more impact on people with lower selfefficacy [41] and social cognitive (self-efficacy) and selfregulatory (illness beliefs) theory-based intervention programs caused a significant improvement in self-efficacy for exercise [42]. Data showed that illness beliefs play an essential role in patients' quality of life, while self-efficacy had a crucial role in self-management behaviors diabetes care providers [42]. ...
... A self-management coaching program on lifestyle changes had more impact on people with lower selfefficacy [41] and social cognitive (self-efficacy) and selfregulatory (illness beliefs) theory-based intervention programs caused a significant improvement in self-efficacy for exercise [42]. Data showed that illness beliefs play an essential role in patients' quality of life, while self-efficacy had a crucial role in self-management behaviors diabetes care providers [42]. ...
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Objective: The purpose of this systematic review is to study the impact of self-efficacy-improving strategies on physical activity-related glycemic control of diabetes. Method: This systematic review was conducted based on the PRISMA statement. ("Diabetes" OR "glycemic control") AND ("exercise" OR "physical activity") AND "self-efficacy" were searched as keywords in databases including PubMed, Google Scholar, Science Direct, Embase, Cochrane, Web of Science, and Scopus between 2000 and 2019 for relesvant articles. Results: Two reviewers independently screened articles (n = 400), and those meeting eligibility criteria (n = 47) were selected for data extraction using a predesigned Excel form and critical appraisal using the "Tool for Quantitative Studies." Different strategies and health promotion programs such as individual or group face-to-face education and multimedia (video conference, video, phone calls, short message service, and Internet-based education) were used in diabetes self-management education programs. The results of different interventions including motivational interviewing (7 studies), exercise (5 studies), multidimensional self-management programs (25 studies), and electronic education (11 studies) had been evaluated. Interventions with more social support, longer duration, combined educative theory-based, and individual education had better outcomes both in postintervention and in follow-up evaluation. Conclusion: A combination of traditional and virtual long-lasting self-care promoting (motivating) programs is needed to improve patients' self-efficacy for healthy habits like active lifestyle.
... Regarding mediation, the intervention may have not sufficiently targeted social support and self-efficacy. Other unmeasured mediators, such as diabetes knowledge or perceived control, may account for improvements in self-management behaviors [51], which should be measured in future studies. Furthermore, null findings for social support may reflect that the measure assessed support mainly from family and friends, which may not have been substantially improved by the intervention. ...
Article
People with low incomes have a disproportionate prevalence of diabetes and its complications and experience many barriers to self-management, which community health workers (CHWs) may help address. We sought to examine the effects of an in-home CHW-led intervention for adults with diabetes and incomes <250% of the federal poverty line on self-management behaviors and test mediators and moderators. From 2010 to 2013, we randomized participants from three Washington State health systems with type 2 diabetes and hemoglobin A1c (HbA1c) ≥ 8% to the CHW intervention (N = 145) or usual care control (N = 142) arms. We examined effects on 12-month self-management: physical activity, dietary behaviors, medication taking, blood glucose monitoring, foot care, and tobacco use. For behaviors with significant intervention-control group differences, we tested mediation by self-efficacy and social support. We also investigated whether intervention-associated changes in behaviors varied by race/ethnicity, gender, and baseline values of HbA1c, diabetes distress, depression, and food insecurity (moderators). Compared to controls, intervention participants engaged in more physical activity and reported better dietary behaviors for some measures (general diet, frequency of skipping meals, and frequency of eating out) at 12-months, but there was no evidence of mediation by self-efficacy or social support. Evidence of moderation was limited: improvements in the frequency of skipping meals were restricted to participants with baseline HbA1c < 10%. Study findings suggest CHWs could be integrated into diabetes care to effectively support lifestyle changes around physical activity and some eating behaviors among adults with low incomes. More research is needed to understand mechanisms of change.
... Change in behavior, according to DiClemente and Prochaska, occurs slowly where one journeys through five stages-pre-contemplation, contemplation, preparation, action, and maintenance-before one is truly ready to make a change. The expectation that a patient diagnosed with T2DM will automatically change his or her lifestyle is unrealistic (Steed, Barnard, Hurel, Jenkins, & Newman, 2014). Providers understand this, yet the expectation for the patient to change is ever present and often drives providers to categorize a patient's lack of change as "nonadherence" or "noncompliance." ...
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The aim of this study was to understand and describe the experience of diabetes self-management among patients not meeting glycemic control (A1C > 9). Type 2 diabetes mellitus (T2DM) is a complex chronic disease process. Diabetes self-management is equally complex and critical to patient outcomes and quality of life. The components for self-management include: knowledge, skills/abilities, and support. Few studies have reported on the experiences of self-management for patients with T2DM to reach and sustain glycemic control. This study used a qualitative descriptive design. Semistructured interviews were conducted with 13 patients receiving care at a diabetic clinic at a major health-care system in New York City. An interview guide was developed based on diabetes self-management which guided the interviews. All data were analyzed using qualitative content analysis. Initially, three themes that describe each component of diabetes mellitus self-management (DMSM) and impact the patients’ reaching the desired outcome were identified: acceptance of knowledge, motivation for skills and abilities, and variability and vulnerability of support. Further analysis of the three themes led to the identification of an overarching, theme: loss of self. This overarching theme helped to explain the stages of grief illustrated across the themes in the participants DMSM experiences. The participants in this study identified loss of self, and the accompanying grief and grieving process related to the loss of self in response to their T2DM diagnosis. Participants were “stuck” in a stage of loss of self, which presented challenges to acceptance of their diagnosis, barriers to DMSM, and optimizing glycemic control.
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Background: Using a theoretical perspective to guide research design and implementation can result in a coherent preventative intervention model. Among theoretical frameworks, Bandura's Social Cognitive Theory (SCT) is particularly useful for studies focused on behavior change in health promotion research. Objective: This scoping review explored and summarized the current evidence on health promotion interventions that integrated constructs of Social Cognitive Theory and the outcome of those interventions in primary care settings. Method: ology: We conducted this scoping review using the PRISMA scoping review guidelines; we reviewed articles from five electronic databases and additional sources that were peer-reviewed journal articles reporting interventions applying SCT constructs and synthesized the outcomes following the interventions. Results: Among 849 retrieved from multiple sources, 39 articles met our eligibility criteria. Most studies (n = 19) were conducted in the United States. Twenty-six studies followed a randomized control trial design. Most studies (n = 26) recruited participants utilizing the primary care network. All 39 studies mentioned “self-efficacy” as the most utilized construct of SCT to determine how behavior change operates, followed by “observational learning” through role models. Twenty-three studies integrated individual (face-to-face) or peered group-based counseling-training programs; eight interventions used telephonic health coaching by a specialist; eight studies used audio-visual mediums. All included studies reported positive health outcomes following the intervention, including increased self-reported moderate-to-vigorous physical activity, increased Knowledge of dietary intake, high-risk behaviors such as STIs transmission, adapting to a healthy lifestyle, and adherence to post-transplant medication. Conclusion: Current evidence suggests that SCT-based interventions positively impact health outcomes and intervention effectiveness. The results of this study indicate the importance of incorporating and assessing several conceptual structures of behavioral theories when planning any primary care health promotion practice.
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Objectives Based on the common-sense model of self-regulation, this study aimed to explicate the mechanism underlying the effect of illness representations on self-care behaviours and anxiety symptoms among patients with type 2 diabetes. Methods A telephone survey was administered to 473 patients in Hong Kong. Structural equation modelling was used to test if threat and control perceptions regarding diabetes would be associated with self-reported self-care behaviours and anxiety symptoms through adoption of adaptive/maladaptive coping strategies and diabetes-related self-efficacy. Results Control perceptions but not threat perceptions were positively associated with self-care behaviours. Control perceptions had a positive indirect association with self-care behaviours through more problem-focused coping and diabetes-related self-efficacy. Threat perceptions simultaneously had a positive indirect association through more problem-focused coping and a negative indirect association through more avoidant coping and lower diabetes-related self-efficacy. In contrast, threat and control perceptions were positively and negatively, respectively, associated with anxiety symptoms. Problem-focused and avoidant coping consistently mediated the indirect association between threat perceptions and anxiety symptoms. Conclusion Threat and control perceptions were associated with diabetes self-care behaviours and anxiety symptoms through different self-regulation pathways. Practice implications Our findings inform possible targets for self-management interventions to simultaneously enhance self-care behaviours and alleviate diabetes-associated anxiety.
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An existing systematic review and meta-analysis found a significant reduction in glycemic levels for adults with type 2 diabetes who received a psychological intervention over control conditions. To help develop effective interventions in the future, there is a need to understand the active ingredients which underpin these psychological interventions. We conducted a secondary meta-analysis including 67 randomized controlled trials (RCTs) reported in English. We reviewed the psychological intervention descriptions of the included studies of the existing review and extracted the behavior change techniques (BCTs) according to the BCT taxonomy (BCTTv1). We also extracted information on primary behavioral target versus primary outcome, and presence of fidelity assessment. The most frequent BCTs across RCTs were ‘social support (unspecified)’ (n=50), ‘problem solving’ (n=38) and ‘goal setting (behavior’) (n=30). These BCTs were independently associated with a significant reduction in glycemic levels (HbA1c) compared to control conditions, but not significantly different from studies that did not include these BCTs. Meta-regressions revealed no significant associations between HbA1c, and psychological intervention category (counselling versus cognitive behavioral therapy interventions) (p=0.84), frequency of BCTs per psychological intervention (p=0.29), primary behavioral target versus primary outcome (p=0.48), or presence of fidelity assessment (p=0.15). Social support (unspecified), problem solving, and goal setting (behavior) could be useful BCTs to develop psychological interventions for people with type 2 diabetes to improve glycemic levels. However, more research is required to understand which combination of individual BCTs are most effective for this population. Systematic Review Registration Registered with the international prospective register of systematic reviews registration (PROSPERO) CRD42016033619.
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Background For people with diabetes mellitus to achieve optimal glycaemic control, motivation to perform self-management is important. The research team wanted to determine whether or not psychological interventions are clinically effective and cost-effective in increasing self-management and improving glycaemic control. Objectives The first objective was to determine the clinical effectiveness of psychological interventions for people with type 1 diabetes mellitus and people with type 2 diabetes mellitus so that they have improved (1) glycated haemoglobin levels, (2) diabetes self-management and (3) quality of life, and fewer depressive symptoms. The second objective was to determine the cost-effectiveness of psychological interventions. Data sources The following databases were accessed (searches took place between 2003 and 2016): MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, PsycINFO, EMBASE, Cochrane Controlled Trials Register, Web of Science, and Dissertation Abstracts International. Diabetes conference abstracts, reference lists of included studies and Clinicaltrials.gov trial registry were also searched. Review methods Systematic review, aggregate meta-analysis, network meta-analysis, individual patient data meta-analysis and cost-effectiveness modelling were all used. Risk of bias of randomised and non-randomised controlled trials was assessed using the Cochrane Handbook (Higgins JP, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ 2011; 343 :d5928). Design Systematic review, meta-analysis, cost-effectiveness analysis and patient and public consultation were all used. Setting Settings in primary or secondary care were included. Participants Adolescents and children with type 1 diabetes mellitus and adults with types 1 and 2 diabetes mellitus were included. Interventions The interventions used were psychological treatments, including and not restricted to cognitive–behavioural therapy, counselling, family therapy and psychotherapy. Main outcome measures Glycated haemoglobin levels, self-management behaviours, body mass index, blood pressure levels, depressive symptoms and quality of life were all used as outcome measures. Results A total of 96 studies were included in the systematic review ( n = 18,659 participants). In random-effects meta-analysis, data on glycated haemoglobin levels were available for seven studies conducted in adults with type 1 diabetes mellitus ( n = 851 participants) that demonstrated a pooled mean difference of –0.13 (95% confidence interval –0.33 to 0.07), a non-significant decrease in favour of psychological treatment; 18 studies conducted in adolescents/children with type 1 diabetes mellitus ( n = 2583 participants) that demonstrated a pooled mean difference of 0.00 (95% confidence interval –0.18 to 0.18), indicating no change; and 49 studies conducted in adults with type 2 diabetes mellitus ( n = 12,009 participants) that demonstrated a pooled mean difference of –0.21 (95% confidence interval –0.31 to –0.10), equivalent to reduction in glycated haemoglobin levels of –0.33% or ≈3.5 mmol/mol. For type 2 diabetes mellitus, there was evidence that psychological interventions improved dietary behaviour and quality of life but not blood pressure, body mass index or depressive symptoms. The results of the network meta-analysis, which considers direct and indirect effects of multiple treatment comparisons, suggest that, for adults with type 1 diabetes mellitus (7 studies; 968 participants), attention control and cognitive–behavioural therapy are clinically effective and cognitive–behavioural therapy is cost-effective. For adults with type 2 diabetes mellitus (49 studies; 12,409 participants), cognitive–behavioural therapy and counselling are effective and cognitive–behavioural therapy is potentially cost-effective. The results of the individual patient data meta-analysis for adolescents/children with type 1 diabetes mellitus (9 studies; 1392 participants) suggest that there were main effects for age and diabetes duration. For adults with type 2 diabetes mellitus (19 studies; 3639 participants), baseline glycated haemoglobin levels moderated treatment outcome. Limitations Aggregate meta-analysis was limited to glycaemic control for type 1 diabetes mellitus. It was not possible to model cost-effectiveness for adolescents/children with type 1 diabetes mellitus and modelling for type 2 diabetes mellitus involved substantial uncertainty. The individual patient data meta-analysis included only 40–50% of studies. Conclusions This review suggests that psychological treatments offer minimal clinical benefit in improving glycated haemoglobin levels for adults with type 2 diabetes mellitus. However, there was no evidence of benefit compared with control interventions in improving glycated haemoglobin levels for people with type 1 diabetes mellitus. Future work Future work should consider the competency of the interventionists delivering a therapy and psychological approaches that are matched to a person and their life course. Study registration This study is registered as PROSPERO CRD42016033619. Funding This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment ; Vol. 24, No. 28. See the NIHR Journals Library website for further project information.
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