What affected UK adults' adherence to medicines during the COVID-19 pandemic? Cross-sectional survey in a representative sample of people with long-term conditions.

Aim: Medicines non-adherence is associated with poorer outcomes and higher costs. COVID-19 affected access to healthcare, with increased reliance on remote methods, including medicines supply. This study aimed to identify what affected people's adherence to medicines for long-term conditions (LTCs) during the pandemic. Subject and methods: Cross-sectional online survey of UK adults prescribed medicines for LTCs assessing self-reported medicines adherence, reasons for non-adherence (using the capability, opportunity and motivation model of behaviour [COM-B]), medicines access and COVID-19-related behaviours. Results: The 1746 respondents reported a mean (SD) of 2.5 (1.9) LTCs, for which they were taking 2.4 (1.9) prescribed medicines, 525 (30.1%) reported using digital tools to support ordering or taking medicines and 22.6% reported medicines non-adherence. No access to at least one medicine was reported by 182 (10.4%) respondents; 1048 (60.0%) reported taking at least one non-prescription medicine as a substitute; 409 (23.4%) requested emergency supply from pharmacy for at least one medicine. Problems accessing medicines, being younger, male, in the highest socioeconomic group and working were linked to poorer adherence. Access problems were mostly directly or indirectly related to the COVID-19 pandemic. Respondents were generally lacking in capabilities and opportunities, but disruptions to habits (automatic motivation) was the major reason for non-adherence. Conclusion: Navigating changes in how medicines were accessed, and disruption of habits during the COVID-19 pandemic, was associated with suboptimal adherence. People were resourceful in overcoming barriers to access. Solutions to support medicines-taking need to take account of the multiple ways that medicines are prescribed and supplied remotely. Supplementary Information: The online version contains supplementary material available at 10.1007/s10389-022-01813-0.

What maximizes the effectiveness and implementation of technology-based interventions to support healthcare professional practice? A systematic literature review.

BACKGROUND: Technological support may be crucial in optimizing healthcare professional practice and improving patient outcomes. A focus on electronic health records has left other technological supports relatively neglected. Additionally, there has been no comparison between different types of technology-based interventions, and the importance of delivery setting on the implementation of technology-based interventions to change professional practice. Consequently, there is a need to synthesise and examine intervention characteristics using a methodology suited to identifying important features of effective interventions, and the barriers and facilitators to implementation. Three aims were addressed: to identify interventions with a technological component that are successful at changing professional practice, to determine if and how such interventions are theory-based, and to examine barriers and facilitators to successful implementation. METHODS: A literature review informed by realist review methods was conducted involving a systematic search of studies reporting either: (1) behavior change interventions that included technology to support professional practice change; or (2) barriers and facilitators to implementation of technological interventions. Extracted data was quantitative and qualitative, and included setting, target professionals, and use of Behaviour Change Techniques (BCTs). The primary outcome was a change in professional practice. A thematic analysis was conducted on studies reporting barriers and facilitators of implementation. RESULTS: Sixty-nine studies met the inclusion criteria; 48 (27 randomized controlled trials) reported behavior change interventions and 21 reported practicalities of implementation. The most successful technological intervention was decision support providing healthcare professionals with knowledge and/or person-specific information to assist with patient management. Successful technologies were more likely to operationalise BCTs, particularly "instruction on how to perform the behavior". Facilitators of implementation included aligning studies with organisational initiatives, ensuring senior peer endorsement, and integration into clinical workload. Barriers included organisational challenges, and design, content and technical issues of technology-based interventions. CONCLUSIONS: Technological interventions must focus on providing decision support for clinical practice using recognized behavior change techniques. Interventions must consider organizational context, clinical workload, and have clearly defined benefits for improving practice and patient outcomes.

'For me it's about not feeling like I'm on a diet': a thematic analysis of women's experiences of an intermittent energy restricted diet to reduce breast cancer risk.

BACKGROUND: Weight-loss programmes requiring intermittent energy restriction offer an alternative to continuous energy restriction programmes that typically have low adherence. We reported greater weight loss, better adherence and spontaneous reduced energy intake on healthy eating days with intermittent as opposed to continuous energy restriction. The present study aims to explore why intermittent energy restriction diets exert these positive effects. METHODS: Semi-structured interviews were carried out with 13 women aged 39-62 years, who followed a 4-month intermittent energy restriction (2 days of low energy/low carbohydrate, 5 days of healthy eating). Nine of the 13 women successfully lost >5% of their total body weight. Data were analysed using thematic analysis. RESULTS: The intermittent regimen redefined the meaning of dieting and normal eating. Women reconceptualised dieting as only two low energy days per week, even though this often differed from their pre-diet eating patterns. Women reported that they could adhere more closely to the rules of the intermittent diet compared to previously attempted continuous diets. They found that the intermittent diet was less cognitively demanding because the restrictive and clear rules of the intermittent diet were easier to understand and easier to follow than with continuous dieting. CONCLUSIONS: Many participants found intermittent dieting preferable to previous experiences of continuous dieting. The findings provide some insight into the ways in which intermittent dieting is successful, and why it could be considered a viable alternative to continuous energy restriction for weight loss.

"It's my business, it's my body, it's my money": experiences of smokers who are not planning to quit in the next 30 days and their views about treatment options.

BACKGROUND: Current evidence-based smoking cessation treatments in the UK are only offered to smokers ready to quit within 30 days. This study reports the experiences of smokers who are not ready to quit and explores the types of intervention approaches that might engage them. METHODS: Five focus groups were conducted with smokers who had no plans to quit within 30 days (n = 32, 44 % female). Verbatim transcripts were analyzed thematically using Nvivo 10 software. RESULTS: Participants were ambivalent towards their own smoking, but the majority indicated they would like to quit someday. Smoking was seen both to hinder and facilitate social interactions, depending on the social norms of the participant's social circle. Participants reported that, when they perceive pressure to quit smoking, they respond defensively; concurrently, existing approaches to encouraging smoking cessation were seen as unappealing. In contrast, the importance of intrinsic motivation to quit was emphasized, and interventions that were tailored, increased intrinsic motivation and kept the smoker engaged in activities incompatible with smoking were preferred. CONCLUSIONS: Despite not planning to quit in the next 30 days, the majority of participants wanted to quit smoking at some point. Even if existing services were offered to smokers not planning to quit in the next 30 days, it is unlikely that these services would meet the needs of this population. Future research should explore novel approaches to appeal specifically to smokers not planning to quit in the next 30 days, such as encouraging engagement with activities incompatible with smoking and fostering non-smoking habits.

Efficacy of a minimal intervention to reduce fat intake.

Effective dietary interventions must be developed to reduce fat intake in whole populations, rather than clinical subgroups. This study tested the effects of personalised feedback on fat intake in a general population. Hospital workers (n = 801) were randomised to receive personalised feedback or no personalised feedback. Personalised feedback consisted of one sentence expressing current fat intake as a percentage of total calorific intake. Changes in fat intake from baseline to five months post-intervention were evaluated. The personalised intervention produced significant decreases in total and saturated fat intake, compared with the control group. Total-fat decreased by 8.6% (versus 0.2% in the control group); saturated fat decreased by 9.3% (versus 1.7% in the control group). Fat intake as a proportion of total calorific intake did not decrease significantly in either condition. Findings also revealed differential effects of feedback on high- versus low-fat consumer groups. Personalised feedback significantly reduced fat intake in high-fat consumers, and prevented low-fat consumers from increasing their fat intake. Personalised fat feedback therefore represents an efficacious and low-intensity approach to the reduction of fat intake in the general population.

Efficacy of the Theory of Planned Behaviour: a meta-analytic review.

The Theory of Planned Behaviour (TPB) has received considerable attention in the literature. The present study is a quantitative integration and review of that research. From a database of 185 independent studies published up to the end of 1997, the TPB accounted for 27% and 39% of the variance in behaviour and intention, respectively. The perceived behavioural control (PBC) construct accounted for significant amounts of variance in intention and behaviour, independent of theory of reasoned action variables. When behaviour measures were self-reports, the TPB accounted for 11% more of the variance in behaviour than when behaviour measures were objective or observed (R2s = .31 and .21, respectively). Attitude, subjective norm and PBC account for significantly more of the variance in individuals' desires than intentions or self-predictions, but intentions and self-predictions were better predictors of behaviour. The subjective norm construct is generally found to be a weak predictor of intentions. This is partly attributable to a combination of poor measurement and the need for expansion of the normative component. The discussion focuses on ways in which current TPB research can be taken forward in the light of the present review.

Temporal stability as a moderator of relationships in the Theory of Planned Behaviour.

Temporal stability of behavioural intentions and perceived behavioural control (PBC) within the Theory of Planned Behaviour were examined as moderators of the cognition-behaviour relationships in two studies. Study 1 (N = 201) examined attendance at health screening appointment (infrequently performed behaviour) using an objective measure of attendance. The impact of intentions and past behaviour on behaviour was moderated by intention stability. In addition, stable intentions were more strongly related to attitudes and past behaviour. Study 2 (N = 407) examined eating a low-fat diet (frequently performed behaviour) using a self-report measure of behaviour. The impact of intentions on behaviour was moderated by intention stability, while the impact of PBC and past behaviour on behaviour was moderated by PBC stability. Stable intentions were more strongly related to attitudes, subjective norms and PBC. Stable PBC was more strongly related to attitudes and past behaviour. The discussion considers the implications of the findings for furthering the understanding of the proximal determinants of behaviour and emphasizes the importance of temporal stability as a key measure of the strength of intentions and PBC.