Unveiling Consumer Preferences and Intentions for Cocreated Features of a Combined Diet and Physical Activity App: Cross-Sectional Study in 4 European Countries.

BACKGROUND: Numerous mobile health apps are marketed globally, and these have specific features including physical activity tracking, motivational feedback, and recipe provision. It is important to understand which features individuals prefer and whether these preferences differ between consumer groups. OBJECTIVE: In this study, we aimed to identify consumers' most preferred features and rewards for a mobile app that targets healthy eating and physical activity and to reduce the number of individual mobile health app features to a smaller number of key categories as perceived by consumers. In addition, we investigated the impact of differences in consumers' BMI and self-efficacy on their intention to use and willingness to pay for such an app. Finally, we identified the characteristics of different target groups of consumers and their responses toward app features via cluster analysis. METHODS: A total of 212 participants from France, Italy, the United Kingdom, and Germany were recruited via the web to answer questions about app features, motivation, self-efficacy, demographics, and geographic factors. It is important to note that our study included an evenly distributed sample of people in the age range of 23 to 50 years (23-35 and 35-50 years). The app features in question were generated from a 14-day cocreation session by a group of consumers from the United Kingdom and the Republic of Ireland. RESULTS: "Home work out suggestions," "exercise tips," and "progress charts" were the most preferred app features, whereas "gift vouchers" and "shopping discounts" were the most preferred rewards. "Connections with other communication apps" was the least preferred feature, and "charitable giving" was the least preferred reward. Importantly, consumers' positive attitude toward the "social support and connectedness and mindfulness" app feature predicted willingness to pay for such an app (ß=.229; P=.004). Differences in consumers' health status, motivational factors, and basic demographics moderated these results and consumers' intention to use and willingness to pay for such an app. Notably, younger and more motivated consumers with more experience and knowledge about health apps indicated more positive attitudes and intentions to use and willingness to pay for this type of app. CONCLUSIONS: This study indicated that consumers tend to prefer app features that are activity based and demonstrate progress. It also suggested a potential role for monetary rewards in promoting healthy lifestyle behaviors. Moreover, the results highlighted the role of consumers' health status, motivational factors, and socioeconomic status in predicting their app use. These results provide up-to-date, practical, and pragmatic information for the future design and operation of mobile health apps.

Changes in Alcohol Consumption During a Stop-Smoking Attempt and Differences Between Smokers Using Nicotine Replacement and Smokers Using Varenicline.

Introduction: Little is known about effects of smoking cessation on alcohol consumption. Varenicline reduces enjoyment of smoking and cigarette consumption and may also reduce enjoyment and consumption of alcohol. We conducted the first prospective examination of the effects of stopping smoking on alcohol enjoyment and consumption and compared clients using varenicline and nicotine replacement treatment (NRT). Methods: Audit of records from clients undergoing routine smoking cessation treatment in three stop-smoking services in London, United Kingdom. The sample comprised smokers who consume alcohol and underwent smoking cessation treatment with either varenicline (N = 230) or NRT (N = 62). Alcohol enjoyment and consumption were reported before and on the target quit day (TQD) and 1 and 4 weeks post-TQD. Results: Participants reduced their alcohol consumption in week 1 of their quit attempt (15.0-12.7 units per/week, p = .001).In heavy drinkers, the change remained significant at 4 weeks (32.2-24.8 units per/week, p = .004). The type of medication used had no significant impact on the change. Smokers treated with varenicline versus NRT were more likely to report reduced enjoyment of alcohol on TQD (20% vs. 10%, respectively, p < .001) and at 4 weeks post-TQD (20% vs. 6%, respectively, p = .014). Results were similar for abstainers and those who did not manage to stop smoking. Conclusion: Making a stop-smoking attempt is accompanied by a reduction in drinking. The finding has implications for policies concerned with effects of stopping smoking on alcohol use. Varenicline may affect enjoyment of drinking, but its potential to alter drinking behavior is small. Implications: The finding that smokers making a quit attempt reduce their alcohol consumption has practical implications for treatment providers who are concerned about the possible effects of smoking cessation on alcohol drinking. Although varenicline may reduce alcohol enjoyment compared to NRT, it does not appear to have a significant impact on alcohol consumption.

Tackling obesity in areas of high social deprivation: clinical effectiveness and cost-effectiveness of a task-based weight management group programme - a randomised controlled trial and economic evaluation.

BACKGROUND: An increasing number of people require help to manage their weight. The NHS recommends weight loss advice by general practitioners and/or a referral to a practice nurse. Although this is helpful for some, more effective approaches that can be disseminated economically on a large scale are needed. OBJECTIVE: To assess whether or not a task-based weight management programme [Weight Action Programme (WAP)] has better long-term effects than a 'best practice' intervention provided in primary care by practice nurses. DESIGN: Randomised controlled trial with cost-effectiveness analysis. SETTING: General practices in east London, UK. PARTICIPANTS: Three hundred and thirty adults with a body mass index (BMI) of ≥ 30 kg/m2 or a BMI of ≥ 28 kg/m2 plus comorbidities were recruited from local general practices and via media publicity. Those who had a BMI of > 45 kg/m2, had lost > 5% of their body weight in the previous 6 months, were currently pregnant or taking psychiatric medications were excluded. Participants were randomised (2 : 1) to the WAP or nurse arms. INTERVENTIONS: The WAP intervention was delivered in eight weekly group sessions that combined dietary and physical activity, advice and self-monitoring in a group-oriented intervention. The initial course was followed by 10 monthly group maintenance sessions open to all participants in this study arm. The practice nurse intervention (best usual care) consisted of four one-to-one sessions delivered over 8 weeks, and included standard advice on diet and physical activity based on NHS 'Change4Life' materials and motivational support. MAIN OUTCOME MEASURES: The primary outcome measure was weight change at 12 months. Secondary outcome measures included change in BMI, waist circumference and blood pressure, and proportion of participants losing at least 5% and 10% of baseline body weight. Staff collecting measurements at the 6- and 12-month follow-ups were blinded to treatment allocation. The primary outcome measure was analysed according to the intention-to-treat principle, and included all participants with at least one recorded outcome at either 1, 2, 6 or 12 months. The analysis employed a mixed-effects linear regression model, adjusted for baseline weight, age, sex, ethnicity, smoking status and general practice. The European Quality of Life-5 Dimensions-5 Levels questionnaire was completed and used to estimate quality-adjusted life-years (QALYs) within the cost-effectiveness analysis. RESULTS: There were 330 participants (WAP arm, n = 221; nurse arm, n = 109; 72% women). A total of 291 (88%) participants (WAP arm, n = 194; nurse arm, n = 97) were included in the main analysis for the primary outcome. Weight loss at 12 months was greater in the WAP arm than in the nurse intervention arm [-4.2 kg vs. -2.3 kg; difference -1.9 kg, 95% confidence interval (CI) -3.7 to -0.1 kg; p = 0.04]. Participants in the WAP arm were more likely than participants in the nurse arm to have lost at least 5% of their baseline body weight at 12 months (41% vs. 27%; odds ratio 14.61, 95% CI 2.32 to 91.96; p = 0.004). The incremental cost-effectiveness ratio for WAP over and above the nurse arm is £7742 per QALY. CONCLUSIONS: A WAP delivered in general practice better promotes weight loss over 12 months than a best usual practice nurse-led weight loss programme. LIMITATIONS: The trial recruited mostly women. Research is needed into factors that would make weight loss programmes more attractive to men. TRIAL REGISTRATION: Current Controlled Trials ISRCTN45820471. 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. 20, No. 79. See the NIHR Journals Library website for further project information.

Responsiveness to reward following cessation of smoking.

RATIONALE AND OBJECTIVES: It has been suggested that stopping smoking may lead to reduced responsiveness to rewarding stimulation. We assessed such changes in dependent smokers who abstained from smoking continuously for 4 weeks. METHODS: Eight hundred seventy-four consecutive smokers treated at a UK Clinic provided ratings of changes in their perception of rewarding events at 1 and 4 weeks after their target quit date. Measurements included the Enjoyment of Life Questionnaire (EOL) and Mood and Physical Symptoms Scale (a measure of withdrawal discomfort). Self-reports of continuous abstinence were verified by expired air carbon monoxide readings. RESULTS: In 585 participants who were continuously abstinent for the first week and provided EOL ratings, there was an increase in positive reactions to rewarding events compared to reactions while smoking (t = 5.9, p < 0.001). In 192 participants who were continuously abstinent for 4 weeks and provided ratings at both 1 and 4 weeks, there was a further significant increase in positive reactions (F(1,191) = 18.71, p < 0.001). More severe withdrawal discomfort was related to decreased enjoyment of rewarding events. CONCLUSIONS: Responsiveness to reward increases within a week of stopping smoking and it increases further after 4 weeks of abstinence. The finding has implications for reassuring smokers worried about post-quitting mood changes.

Using text messaging to prevent relapse to smoking: intervention development, practicability and client reactions.

AIMS: The NHS Stop Smoking Service (NHS-SSS) helps approximately half its clients to quit for 4 weeks. However, most initially successful quitters relapse within 6 months. Short message service (SMS) texting has been shown to facilitate stopping smoking. We describe the development, implementation and subsequent evaluation, in terms of practicability and client response, of an SMS text-based relapse prevention intervention (RPI) delivered within routine community and specialist National Health Service (NHS) Stop Smoking Service (SSS) provision in four Primary Care Trusts. DESIGN: Text messages aimed at motivation to remain abstinent, preventing careless lapses and continuing the full course of medicine for smoking cessation were developed and sent weekly to clients' mobile phones for 12 weeks and fortnightly for 6 months. They were asked to respond to some of the texts and contact the NHS SSS if they lapsed. They were also offered free nicotine mini lozenges to be sent via the mail on three occasions. SETTING: NHS SSS. PARTICIPANTS: 202 clients who had been abstinent for 4 weeks. MEASUREMENTS: Feasibility of introducing RPI into routine care; response to interactive messages and requests for the medication; rating of the helpfulness of RPI; self-reported and carbon monoxide (CO)-validated smoking status for up to 26 weeks. FINDINGS: A text-based RPI was easy to implement within the NHS SSS provided by specialist advisers, but enrollment of clients from services provided by a network of pharmacists was difficult because client contact details were often lacking. Where records of the number of people invited to RPI were available, 94% of eligible participants enrolled. The RPI was well received by both SSS clients and staff, with 70% (n = 63) of clients who completed follow-up considering the intervention helpful. Eighty-five per cent (n = 172) of clients responded to at least one of the nine interactive text messages. Sixty-four clients (32% of the total, 47% of those we managed to contact) reported continuous abstinence at 6 months. Eighteen (9%) clients who relapsed to smoking used the RPI to re-engage with the NHS SSS and 10 (5%) successfully re-established abstinence. CONCLUSIONS: In smokers attending National Health Service Stop Smoking Services who are abstinent 4 weeks after their quit date, a relapse prevention intervention based on SMS text messaging was well received, and can be implemented economically and rapidly. A controlled trial is needed to establish whether it has a significant impact on relapse.