David P. French

A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy

Background: Current reporting of intervention content in published research articles and protocols is generally poor, with great diversity of terminology, resulting in low replicability. This study aimed to extend the scope and improve the reliability of a 26-item taxonomy of behaviour change techniques developed by Abraham and Michie [Abraham, C. and Michie, S. (2008). A taxonomy of behaviour change techniques used in interventions. Health Psychology, 27(3), 379–387.] in order to optimise the reporting and scientific study of behaviour change interventions. Methods: Three UK study centres collaborated in applying this existing taxonomy to two systematic reviews of interventions to increase physical activity and healthy eating. The taxonomy was refined in iterative steps of (1) coding intervention descriptions, and assessing inter-rater reliability, (2) identifying gaps and problems across study centres and (3) refining the labels and definitions based on consensus discussions. Results: Labels and definitions were improved for all techniques, conceptual overlap between categories was resolved, some categories were split and 14 techniques were added, resulting in a 40-item taxonomy. Inter-rater reliability, assessed on 50 published intervention descriptions, was good (kappa = 0.79). Conclusions: This taxonomy can be used to improve the specification of interventions in published reports, thus improving replication, implementation and evidence syntheses. This will strengthen the scientific study of behaviour change and intervention development.

Impact of self monitoring of blood glucose in the management of patients with non-insulin treated diabetes: open parallel group randomised trial.

Objective To determine whether self monitoring, alone or with instruction in incorporating the results into self care, is more effective than usual care in improving glycaemic control in non-insulin treated patients with type 2 diabetes. Design Three arm, open, parallel group randomised trial. Setting 48 general practices in Oxfordshire and South Yorkshire. Participants 453 patients with non-insulin treated type 2 diabetes (mean age 65.7 years) for a median duration of three years and a mean haemoglobin A1c level of 7.5%. Interventions Standardised usual care with measurements of HbA1c every three months as the control group (n=152), blood glucose self monitoring with advice for patients to contact their doctor for interpretation of results, in addition to usual care (n=150), and blood glucose self monitoring with additional training of patients in interpretation and application of the results to enhance motivation and maintain adherence to a healthy lifestyle (n=151). Main outcome measure HbA1c level measured at 12 months. Results At 12 months the differences in HbA1c level between the three groups (adjusted for baseline HbA1c level) were not statistically significant (P=0.12). The difference in unadjusted mean change in HbA1c level from baseline to 12 months between the control and less intensive self monitoring groups was −0.14% (95% confidence interval −0.35% to 0.07%) and between the control and more intensive self monitoring groups was −0.17% (−0.37% to 0.03%). Conclusions Evidence is not convincing of an effect of self monitoring blood glucose, with or without instruction in incorporating findings into self care, in improving glycaemic control compared with usual care in reasonably well controlled non-insulin treated patients with type 2 diabetes. Trial registration Current Controlled Trials ISRCTN47464659.

What are the most effective techniques in changing obese individuals’ physical activity self-efficacy and behaviour: a systematic review and meta-analysis

Increasing self-efficacy is generally considered to be an important mediator of the effects of physical activity interventions. A previous review identified which behaviour change techniques (BCTs) were associated with increases in self-efficacy and physical activity for healthy non-obese adults. The aim of the current review was to identify which BCTs increase the self-efficacy and physical activity behaviour of obese adults. A systematic search identified 61 comparisons with obese adults reporting changes in self-efficacy towards engaging in physical activity following interventions. Of those comparisons, 42 also reported changes in physical activity behaviour. All intervention descriptions were coded using Michie et al’s (2011) 40 item CALO-RE taxonomy of BCTs. Meta-analysis was conducted with moderator analyses to examine the association between whether or not each BCT was included in interventions, and size of changes in both self-efficacy and physical activity behaviour. Overall, a small effect of the interventions was found on self-efficacy (d = 0.23, 95% confidence interval (CI): 0.16-0.29, p < 0.001) and a medium sized effect on physical activity behaviour (d = 0.50, 95% CI 0.38-0.63, p < 0.001). Four BCTs were significantly associated with positive changes in self-efficacy; ‘action planning’, ‘time management’, ‘prompt self-monitoring of behavioural outcome’ and ‘plan social support/social change’. These latter two BCTs were also associated with positive changes in physical activity. An additional 19 BCTs were associated with positive changes in physical activity. The largest effects for physical activity were found where interventions contained ‘teach to use prompts/cues’, ‘prompt practice’ or ‘prompt rewards contingent on effort or progress towards behaviour’. Overall, a non-significant relationship was found between change in self-efficacy and change in physical activity (Spearman’s Rho = −0.18 p = 0.72). In summary, the majority of techniques increased physical activity behaviour, without having discernible effects on self-efficacy. Only two BCTs were associated with positive changes in both physical activity self-efficacy and behaviour. This is in contrast to the earlier review which found a strong relationship between changes in physical activity self-efficacy and behaviour. Mechanisms other than self-efficacy may be more important for increasing the physical activity of obese individuals compared with non-obese individuals.

How well do the theory of reasoned action and theory of planned behaviour predict intentions and attendance at screening programmes? A meta-analysis

Meta-analysis was used to quantify how well the Theories of Reasoned Action and Planned Behaviour have predicted intentions to attend screening programmes and actual attendance behaviour. Systematic literature searches identified 33 studies that were included in the review. Across the studies as a whole, attitudes had a large-sized relationship with intention, while subjective norms and perceived behavioural control (PBC) possessed medium-sized relationships with intention. Intention had a medium-sized relationship with attendance, whereas the PBC–attendance relationship was small sized. Due to heterogeneity in results between studies, moderator analyses were conducted. The moderator variables were (a) type of screening test, (b) location of recruitment, (c) screening cost and (d) invitation to screen. All moderators affected theory of planned behaviour relationships. Suggestions for future research emerging from these results include targeting attitudes to promote intention to screen, a greater use of implementation intentions in screening information and examining the credibility of different screening providers.

Reliability and validity of a new measure of patient satisfaction with out of hours primary medical care in the united kingdom: development of a patient questionnaire

Abstract Objective: To develop a reliable, valid measure of patient satisfaction with out of hours care suitable for large scale service evaluation. Design: Focus group meetings and semistructured interviews with patients to identify issues of importance to patients and possible questionnaire items; interviews and two pilot studies to test and identify new questionnaire items; modification or removal of items to eliminate ambiguity and reduce non-response and skewed responses; questionnaire survey of out of hours care. Setting: Greater Manchester and Leicester. Subjects: 11 general practice patients participated in the focus groups and 28 in the semistructured interviews; 41 in the preliminary interviews; 41 and 378 in the postal pilots; and 1466 in the survey of out of hours care. Results: A 32 item questionnaire was developed. Component analysis indicated seven scales (satisfaction with communication and management, doctors attitude, continuity of care, delay until visit, access to out of hours care, initial contact person, telephone advice) related to overall satisfaction and containing issues identified as important to patients. Levels of reliability were satisfactory, Cronbachs α correlation coefficient exceeding 0.60 for all scales. Conclusion: A reliable, valid measure of patient satisfaction has been developed, suitable for large scale evaluation of out of hours care. Key messages The provision of out of hours primary medical care is changing, and these changes need to be evaluated and monitored Patient satisfaction is an important measure of the outcome of health care A reliable and valid measure of patient satisfaction with out of hours primary medical care has been developed Development of such scales is demanding on time and experience but is feasible Ad hoc measures of satisfaction should be avoided and when possible reliable, valid scales used

An intervention to promote walking amongst the general population based on an 'extended' theory of planned behaviour: A waiting list randomised controlled trial

Theory of planned behaviour (TPB) studies have identified perceived behavioural control (PBC) as the key determinant of walking intentions. The present study investigated whether an intervention designed to alter PBC and create walking plans increased TPB measures concerning walking more, planning and objectively measured walking. One hundred and thirty UK adults participated in a waiting-list randomised controlled trial. The intervention consisted of strategies to boost PBC, plus volitional strategies to enact walking intentions. All TPB constructs were measured, along with self-reported measures of action planning and walking, and an objective pedometer measure of time spent walking. The intervention increased PBC, attitudes, intentions and objectively measured walking from 20 to 32 min a day. The effects of the intervention on intentions and behaviour were mediated by PBC, although the effects on PBC were not mediated by control beliefs. At 6 weeks follow-up, participants maintained their increases in walking. The findings of this study partially support the proposed causal nature of the extended TPB as a framework for developing and evaluating health behaviour change interventions. This is the first study using the TPB to develop, design and evaluate the components of an intervention which increased objectively measured behaviour, with effects mediated by TPB variables.

The impact of communicating genetic risks of disease on risk-reducing health behaviour: systematic review with meta-analysis

Objective To assess the impact of communicating DNA based disease risk estimates on risk-reducing health behaviours and motivation to engage in such behaviours. Design Systematic review with meta-analysis, using Cochrane methods. Data sources Medline, Embase, PsycINFO, CINAHL, and the Cochrane Central Register of Controlled Trials up to 25 February 2015. Backward and forward citation searches were also conducted. Study selection Randomised and quasi-randomised controlled trials involving adults in which one group received personalised DNA based estimates of disease risk for conditions where risk could be reduced by behaviour change. Eligible studies included a measure of risk-reducing behaviour. Results We examined 10 515 abstracts and included 18 studies that reported on seven behavioural outcomes, including smoking cessation (six studies; n=2663), diet (seven studies; n=1784), and physical activity (six studies; n=1704). Meta-analysis revealed no significant effects of communicating DNA based risk estimates on smoking cessation (odds ratio 0.92, 95% confidence interval 0.63 to 1.35, P=0.67), diet (standardised mean difference 0.12, 95% confidence interval −0.00 to 0.24, P=0.05), or physical activity (standardised mean difference −0.03, 95% confidence interval −0.13 to 0.08, P=0.62). There were also no effects on any other behaviours (alcohol use, medication use, sun protection behaviours, and attendance at screening or behavioural support programmes) or on motivation to change behaviour, and no adverse effects, such as depression and anxiety. Subgroup analyses provided no clear evidence that communication of a risk-conferring genotype affected behaviour more than communication of the absence of such a genotype. However, studies were predominantly at high or unclear risk of bias, and evidence was typically of low quality. Conclusions Expectations that communicating DNA based risk estimates changes behaviour is not supported by existing evidence. These results do not support use of genetic testing or the search for risk-conferring gene variants for common complex diseases on the basis that they motivate risk-reducing behaviour. Systematic review registration This is a revised and updated version of a Cochrane review from 2010, adding 11 studies to the seven previously identified.

Blood glucose self-monitoring in type 2 diabetes: a randomised controlled trial

OBJECTIVES To determine whether self-monitoring of blood glucose (SMBG), either alone or with additional instruction in incorporating the results into self-care, is more effective than usual care in improving glycaemic control in non-insulin-treated diabetes. DESIGN An open, parallel group randomised controlled trial. SETTING 24 general practices in Oxfordshire and 24 in South Yorkshire, UK. PARTICIPANTS Patients with non-insulin-treated type 2 diabetes, aged > or = 25 years and with glycosylated haemoglobin (HbA1c) > or = 6.2%. INTERVENTIONS A total of 453 patients were individually randomised to one of: (1) standardised usual care with 3-monthly HbA1c (control, n = 152); (2) blood glucose self-testing with patient training focused on clinician interpretation of results in addition to usual care (less intensive self-monitoring, n = 150); (3) SMBG with additional training of patients in interpretation and application of the results to enhance motivation and maintain adherence to a healthy lifestyle (more intensive self-monitoring, n = 151). MAIN OUTCOME MEASURES The primary outcome was HBA1c at 12 months, and an intention-to-treat analysis, including all patients, was undertaken. Blood pressure, lipids, episodes of hypoglycaemia and quality of life, measured with the EuroQol 5 dimensions (EQ-5D), were secondary measures. An economic analysis was also carried out, and questionnaires were used to measure well-being, beliefs about use of SMBG and self-reports of medication taking, dietary and physical activities, and health-care resource use. RESULTS The differences in 12-month HbA1c between the three groups (adjusted for baseline HbA1c) were not statistically significant (p = 0.12). The difference in unadjusted mean change in HbA1c from baseline to 12 months between the control and less intensive self-monitoring groups was -0.14% [95% confidence interval (CI) -0.35 to 0.07] and between the control and more intensive self-monitoring groups was -0.17% (95% CI -0.37 to 0.03). There was no evidence of a significantly different impact of self-monitoring on glycaemic control when comparing subgroups of patients defined by duration of diabetes, therapy, diabetes-related complications and EQ-5D score. The economic analysis suggested that SMBG resulted in extra health-care costs and was unlikely to be cost-effective if used routinely. There appeared to be an initial negative impact of SMBG on quality of life measured on the EQ-5D, and the potential additional lifetime gains in quality-adjusted life-years, resulting from the lower levels of risk factors achieved at the end of trial follow-up, were outweighed by these initial impacts for both SMBG groups compared with control. Some patients felt that SMBG was helpful, and there was evidence that those using more intensive self-monitoring perceived diabetes as having more serious consequences. Patients using SMBG were often not clear about the relationship between their behaviour and the test results. CONCLUSIONS While the data do not exclude the possibility of a clinically important benefit for specific subgroups of patients in initiating good glycaemic control, SMBG by non-insulin-treated patients, with or without instruction in incorporating findings into self-care, did not lead to a significant improvement in glycaemic control compared with usual care monitored by HbA1c levels. There was no convincing evidence to support a recommendation for routine self-monitoring of all patients and no evidence of improved glycaemic control in predefined subgroups of patients.

Reactivity of measurement in health psychology: How much of a problem is it? What can be done about it?

PURPOSE Measurement reactivity is defined as being present where measurement results in changes in the people being measured. The main aim of this review is to provide an overview of the current state of knowledge concerning the extent and nature of psychological measurement affecting people who complete the measures. Other aims are to describe how this may affect conclusions drawn in health psychology research and to outline where more research is needed. METHODS Narrative review. RESULTS Several studies, using a variety of methods, have found measurement procedures to alter subsequent cognition, emotion, and behaviour. In many instances, the effects obtained were of up to medium size. However, the extent to which such studies are representative is not clear: do other studies which find no reactive effects of measurement not exist or do they exist but are not reported? CONCLUSIONS Although measurement reactivity can yield medium-sized effects, our understanding of this phenomenon is still rudimentary. We do not know the precise circumstances that are likely to result in measurement reactivity: we cannot predict when problems are more likely to arise. There is a particular absence of studies of the mechanisms by which measurement reactivity arises. There is a need for a systematic review of this literature, which should aim to quantify the extent of measurement reactivity effects and to provide a firmer evidence base for theorizing about the sources of reactivity.

Statistical guidelines for studies of the theory of reasoned action and the theory of planned behaviour

Abstract We identify potential problems in the statistical analysis of social cognition model data, with special emphasis on the theories of reasoned action (TRA) and planned behaviour (TPB). Some statistical guidelines are presented for empirical studies of the TRA and the TPB based upon multiple linear regression and structural equation modelling (SEM). If the model is tested using multiple regression, the assumptions of this technique must be considered and variables transformed if necessary. Adjusted R2 (not R2) should be used as a measure of explained variance and semipartial correlations are useful in assessing each components unique contribution to explained variance. R2 is not an indicator of model adequacy and residuals should be examined. Expectancy-value variables that are the product of expectancy and value measures represent the interaction term in a multiple regression and should not be used. SEM approaches make explicit the assumptions of unidimensionality of constructs in the TRA/TPB, assumptions that might usefully be challenged by competing models with multidimensional constructs. Finally, statistical power and sample size should be considered for both approaches. Inattention to any of these aspects of analysis threatens the validity of TRA/TPB research.