ABSTRACT Aims To identify, assess, and summarize available scientific evidence on the effectiveness of interactive self-management interventions on glycemic control and patient-centered outcomes in individuals with poorly controlled type 2 diabetes. Methods Major English and Chinese electronic databases including Medline, EMBASE, Cochrane Central Register of Controlled Trials, China National Knowledge Infrastructure, and WanFang Data were searched to identify randomized controlled trials that reported the effectiveness of interactive self-management interventions in individuals with poorly controlled type 2 diabetes (glycated hemoglobin [HbA1c] ≥ 7.5% or 58 mmol/mol), from inception to June 2015. Data extraction and risk-of-bias assessment were performed by two reviewers independently. Meta-analysis was performed using Review Manager 5.3. Results A total of 16 trials with 3,545 participants were included in the meta-analysis. Interactive self-management interventions could have a beneficial effect in individuals with poorly controlled type 2 diabetes in reducing HbA1c (mean difference: −0.43%, 95% CI: −0.67% to −0.18%), improving diabetes knowledge (standardized mean difference [SMD]: 0.30, 95% CI: 0.03 to 0.58), enhancing self-efficacy (SMD: 0.29, 95% CI: 0.14 to 0.44), and reducing diabetes-related distress (SMD: −0.21, 95% CI: −0.39 to −0.04). Self-management interventions supported with theory and structured curriculum showed desirable results in glycemic control. The behavioral change techniques, including providing feedback on performance, problem-solving, and action planning, were associated with a significant reduction in HbA1c. Linking Evidence to Action Individuals with poorly controlled type 2 diabetes could benefit from interactive self-management interventions. Interventions targeting patients with poorly controlled diabetes, those who are at the greatest risk of developing complications, should be prioritized. Our findings indicate that providing feedback on performance, problem-solving, and action planning are promising behavioral change techniques specifically for individuals with poor glycemic control.
BACKGROUND: It is uncertain whether multiple health behaviour change (MHBC) interventions are effective for the primary prevention of cardiovascular disease (CVD) in primary care. A systematic review and a meta-analysis were performed to evaluate the effectiveness of MHBC interventions on CVD risk and CVD risk factors; the study also evaluated associations of theoretical frameworks and intervention components with intervention effectiveness.
METHODS: The search included randomised controlled trials of MHBC interventions aimed at reducing CVD risk in primary prevention population up to 2017. Theoretical frameworks and intervention components were evaluated using standardised methods. Meta-analysis with stratification and meta-regression were used to evaluate intervention effects.
RESULTS: We identified 31 trials (36 484 participants) with a minimum duration of 12 months follow-up. Pooled net change in systolic blood pressure (16 trials) was -1.86 (95% CI -3.17 to -0.55; p=0.01) mm Hg; diastolic blood pressure (15 trials), -1.53 (-2.43 to -0.62; p=0.001) mm Hg; body mass index (14 trials), -0.13 (-0.26 to -0.01; p=0.04) kg/m(2); serum total cholesterol (14 trials), -0.13 (-0.19 to -0.07; p<0.001) mmol/L. There was no significant association between interventions with a reported theoretical basis and improved intervention outcomes. No association was observed between intervention intensity (number of sessions and intervention duration) and intervention outcomes. There was significant heterogeneity for some risk factor analyses, leading to uncertain validity of some pooled net changes.
CONCLUSIONS: MHBC interventions delivered to CVD-free participants in primary care did not appear to have quantitatively important effects on CVD risk factors. Better reporting of interventions' rationale, content and delivery is essential to understanding their effectiveness.
BACKGROUND: Changing diet and physical activity behaviour is one of the cornerstones of type 2 diabetes treatment, but changing behaviour is challenging. The objective of this study was to identify behaviour change techniques (BCTs) and intervention features of dietary and physical activity interventions for patients with type 2 diabetes that are associated with changes in HbA<sub>1c</sub> and body weight. METHODS: We performed a systematic review of papers published between 1975-2015 describing randomised controlled trials (RCTs) that focused exclusively on both diet and physical activity. The constituent BCTs, intervention features and methodological rigour of these interventions were evaluated. Changes in HbA<sub>1c</sub> and body weight were meta-analysed and examined in relation to use of BCTs. RESULTS: Thirteen RCTs were identified. Meta-analyses revealed reductions in HbA<sub>1c</sub> at 3, 6, 12 and 24 months of -1. 11 % (12 mmol/mol), -0.67 % (7 mmol/mol), -0.28 % (3 mmol/mol) and -0.26 % (2 mmol/mol) with an overall reduction of -0.53 % (6 mmol/mol [95 % CI -0.74 to -0.32, < 0.00001]) in intervention groups compared to control P groups. Meta-analyses also showed a reduction in body weight of -2.7 kg, -3.64 kg, -3.77 kg and -3.18 kg at 3, 6, 12 and 24 months, overall reduction was -3.73 kg (95 % CI -6.09 to -1.37 kg, = 0.002). P Four of 46 BCTs identified were associated with >0.3 % reduction in HbA<sub>1c</sub>: 'instruction on how to perform a behaviour', 'behavioural practice/rehearsal', 'demonstration of the behaviour' and 'action planning', as were intervention features 'supervised physical activity', 'group sessions', 'contact with an exercise physiologist', 'contact with an exercise physiologist and a dietitian', 'baseline HbA<sub>1c</sub> >8 %' and interventions of greater frequency and intensity. CONCLUSIONS: Diet and physical activity interventions achieved clinically significant reductions in HbA<sub>1c</sub> at three and six months, but not at 12 and 24 months. Specific BCTs and intervention features identified may inform more effective structured lifestyle intervention treatment strategies for type 2 diabetes.
PURPOSE: This systematic review aims to explain the heterogeneity in results of interventions to promote physical activity and healthy eating for overweight and obese adults, by exploring the differential effects of behaviour change techniques (BCTs) and other intervention characteristics. METHODS: The inclusion criteria specified RCTs with ≥ 12 weeks' duration, from January 2007 to October 2014, for adults (mean age ≥ 40 years, mean BMI ≥ 30). Primary outcomes were measures of healthy diet or physical activity. Two reviewers rated study quality, coded the BCTs, and collected outcome results at short (≤6 months) and long term (≥12 months). Meta-analyses and meta-regressions were used to estimate effect sizes (ES), heterogeneity indices (I²) and regression coefficients. RESULTS: We included 48 studies containing a total of 82 outcome reports. The 32 long term reports had an overall ES = 0.24 with 95% confidence interval (CI): 0.15 to 0.33 and I² = 59.4%. The 50 short term reports had an ES = 0.37 with 95% CI: 0.26 to 0.48, and I² = 71.3%. The number of BCTs unique to the intervention group, and the BCTs goal setting and self-monitoring of behaviour predicted the effect at short and long term. The total number of BCTs in both intervention arms and using the BCTs goal setting of outcome, feedback on outcome of behaviour, implementing graded tasks, and adding objects to the environment, e.g. using a step counter, significantly predicted the effect at long term. Setting a goal for change; and the presence of reporting bias independently explained 58.8% of inter-study variation at short term. Autonomy supportive and person-centred methods as in Motivational Interviewing, the BCTs goal setting of behaviour, and receiving feedback on the outcome of behaviour, explained all of the between study variations in effects at long term. CONCLUSION: There are similarities, but also differences in effective BCTs promoting change in healthy eating and physical activity and BCTs supporting maintenance of change. The results support the use of goal setting and self-monitoring of behaviour when counselling overweight and obese adults. Several other BCTs as well as the use of a person-centred and autonomy supportive counselling approach seem important in order to maintain behaviour over time. Trial Registration: PROSPERO CRD42015020624
BACKGROUND: The main behaviour change intervention available for coronary heart disease (CHD) patients is cardiac rehabilitation. There is little recognition of what the active ingredients of behavioural interventions for CHD might be. Using a behaviour change technique (BCT) framework to code existing interventions may help to identify this. The objectives of this systematic review are to determine the effectiveness of CHD behaviour change interventions and how this may be explained by BCT content and structure.
METHODS AND FINDINGS: A systematic search of Medline, EMBASE and PsycInfo electronic databases was conducted over a twelve year period (2003-2015) to identify studies which reported on behaviour change interventions for CHD patients. The content of the behaviour change interventions was coded using the Coventry Aberdeen and London-Refined (CALO-RE) taxonomy. Meta-regression analyses examined the BCT content as a predictor of mortality. Twenty two papers met the criteria for this review, reporting data on 16,766 participants. The most commonly included BCTs were providing information, and goal setting. There was a small but significant effect of the interventions on smoking (risk ratio (RR) = 0.89, 95% CI 0.81-0.97). The interventions did not reduce the risk of CHD events (RR = 0.86, 95% CI 0.68, 1.09), but significantly reduced the risk of mortality (RR = 0.82, 95% CI 0.69, 0.97). Sensitivity analyses did not find that any of the BCT variables predicted mortality and the number of BCTs included in an intervention was not associated with mortality (β = -0.02, 95% CI -0.06-0.03).
CONCLUSIONS: Behaviour change interventions for CHD patients appear to have a positive impact on a number of outcomes. Using an existing BCT taxonomy to code the interventions helped us to understand which were the most commonly used techniques, providing information and goal setting, but not the active components of these complex interventions.
AIMS: To explore which behaviour change techniques and other intervention features are associated with increased levels of physical activity and improved HbA1c in adults with Type 2 diabetes.
METHODS: Moderator analyses were performed on a dataset of 21 behaviour change techniques and six intervention features identified in a systematic review of behavioural interventions (N = 1975 patients with Type 2 diabetes) to establish their associations with changes in physical activity and HbA1c .
RESULTS: Four behaviour change techniques (prompt focus on past success, barrier identification/problem-solving, use of follow-up prompts and provide information on where and when to perform physical activity) had statistically significant associations with increased levels of physical activity. Prompt review of behavioural goals and provide information on where and when to perform physical activity behaviour had statistically significant associations with improved HbA1c . Pedometer use was associated with decreased levels of physical activity.
CONCLUSIONS: These data suggest that clinical care teams can optimise their consultations by incorporating specific behaviour change techniques that are associated with increased levels of physical activity and improved long-term glycaemic control.
BACKGROUND: There is a need for development of more effective interventions to achieve healthy eating, enhance healthy ageing, and to reduce the risk of age-related diseases. The aim of this study was to identify the behaviour change techniques (BCTs) used in complex dietary behaviour change interventions and to explore the association between BCTs utilised and intervention effectiveness.
METHODS: We undertook a secondary analysis of data from a previous systematic review with meta-analysis of the effectiveness of dietary interventions among people of retirement age. BCTs were identified using the reliable CALO-RE taxonomy in studies reporting fruit and vegetable (F and V) consumption as outcomes. The mean difference in F and V intake between active and control arms was compared between studies in which the BCTs were identified versus those not using the BCTs. Random-effects meta-regression models were used to assess the association of interventions BCTs with F and V intakes.
RESULTS: Twenty-eight of the 40 BCTs listed in the CALO-RE taxonomy were identified in the 22 papers reviewed. Studies using the techniques 'barrier identification/problem solving' (93 g, 95% confidence interval (CI) 48 to 137 greater F and V intake), 'plan social support/social change' (78 g, 95%CI 24 to 132 greater F and V intake), 'goal setting (outcome)' (55 g 95%CI 7 to 103 greater F and V intake), 'use of follow-up prompts' (66 g, 95%CI 10 to 123 greater F and V intake) and 'provide feedback on performance' (39 g, 95%CI -2 to 81 greater F and V intake) were associated with greater effects of interventions on F and V consumption compared with studies not using these BCTs. The number of BCTs per study ranged from 2 to 16 (median = 6). Meta-regression showed that one additional BCT led to 8.3 g (95%CI 0.006 to 16.6 g) increase in F and V intake.
CONCLUSIONS: Overall, this study has identified BCTs associated with effectiveness suggesting that these might be active ingredients of dietary interventions which will be effective in increasing F and V intake in older adults. For interventions targeting those in the peri-retirement age group, 'barrier identification/problem solving' and 'plan for social support/social change' may be particularly useful in increasing the effectiveness of dietary interventions.
PURPOSE: This systematic review aimed to assess the effectiveness of psychoeducational smoking cessation interventions for coronary heart disease (CHD) patients; and to examine behaviour change techniques used in interventions and their suitability to change behavioural determinants.
METHODS: Multiple bibliographic databases and references of retrieved articles were searched for relevant randomized controlled studies. One reviewer extracted and a second reviewer checked data from included trials. Random effects meta-analyses were conducted to estimate pooled relative risks for smoking cessation and mortality outcomes. Behaviour change techniques used and their suitability to change behavioural determinants were evaluated using a framework by Michie, Johnston, Francis, Hardeman, and Eccles.
RESULTS: A total of 14 studies were included. Psychoeducational interventions statistically significantly increased point prevalent (RR 1.44, 95% CI, 1.20-1.73) and continuous (RR 1.51, 95% CI, 1.18-1.93) smoking cessation, and statistically non-significantly decreased total mortality (RR 0.73, 95% CI, 0.46-1.15). Included studies used a mixture of theories in intervention planning. Despite superficial differences, interventions appear to deploy similar behaviour change techniques, targeted mainly at motivation and goals, beliefs about capacity, knowledge, and skills.
CONCLUSIONS: Psychoeducational smoking cessation interventions appear effective for patients with CHD. Although questions remain about what characteristics distinguish an effective intervention, analysis indicates similarities between the behaviour change techniques used in such interventions.
Modifiable behavioral risk factors are the leading causes of mortality in the developed world. Effective behavior change interventions are thus the key to improving people's health. In this editorial, we reflect on experiences gained when conducting a systematic review of 34 trials of behavioral interventions for obese adults with additional cardiovascular risk factors using Cochrane methodology. In this editorial, we will discuss the quality of current literature and its consequences in three key areas of behavior change interventions: (a) the theoretical and evidence base (b) the research design and (c) the reporting of tests of behavior change interventions. This critical evaluation is not intended to undermine the credibility of behavioral research. Yet, standards are rising and if we uncritically accept conclusions based on studies that fall short of best practice, we discourage research that might lead to the improvement of behavioral science. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
ABSTRACT Aims To identify, assess, and summarize available scientific evidence on the effectiveness of interactive self-management interventions on glycemic control and patient-centered outcomes in individuals with poorly controlled type 2 diabetes. Methods Major English and Chinese electronic databases including Medline, EMBASE, Cochrane Central Register of Controlled Trials, China National Knowledge Infrastructure, and WanFang Data were searched to identify randomized controlled trials that reported the effectiveness of interactive self-management interventions in individuals with poorly controlled type 2 diabetes (glycated hemoglobin [HbA1c] ≥ 7.5% or 58 mmol/mol), from inception to June 2015. Data extraction and risk-of-bias assessment were performed by two reviewers independently. Meta-analysis was performed using Review Manager 5.3. Results A total of 16 trials with 3,545 participants were included in the meta-analysis. Interactive self-management interventions could have a beneficial effect in individuals with poorly controlled type 2 diabetes in reducing HbA1c (mean difference: −0.43%, 95% CI.: −0.67% to −0.18%), improving diabetes knowledge (standardized mean difference [SMD]: 0.30, 95% CI.: 0.03 to 0.58), enhancing self-efficacy (
SMD:
0.29, 95% CI.: 0.14 to 0.44), and reducing diabetes-related distress (
SMD:
−0.21, 95% CI.: −0.39 to −0.04). Self-management interventions supported with theory and structured curriculum showed desirable results in glycemic control. The behavioral change techniques, including providing feedback on performance, problem-solving, and action planning, were associated with a significant reduction in HbA1c. Linking Evidence to Action Individuals with poorly controlled type 2 diabetes could benefit from interactive self-management interventions. Interventions targeting patients with poorly controlled diabetes, those who are at the greatest risk of developing complications, should be prioritized. Our findings indicate that providing feedback on performance, problem-solving, and action planning are promising behavioral change techniques specifically for individuals with poor glycemic control.
