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BACKGROUND: Behavioural support via mobile health (mHealth) is emerging. This study aimed to assess the feasibility, acceptability, cost, and potential effect on weight of a mHealth follow-up program in bariatric surgery. METHODS: This was a non-randomised feasibility study describing intervention development and proof in the concept of a mHealth follow-up program in bariatric surgery. The study compares a prospective cohort with a historical control group and was conducted in a tertiary bariatric surgery service in Australia. The intervention group included individuals who had bariatric surgery (2019-2021) and owned a smart device, and the historical control group received usual postoperative care (2018). The intervention involved usual care plus codesigned biweekly text messages, monthly email newsletters, and online resources/videos over a 6-month period. The primary outcome measures included feasibility (via recruitment and retention rate), acceptability (via mixed methods), marginal costs, and weight 12 months postoperatively. Quantitative analysis was performed, including descriptive statistics and inferential and regression analysis. Multivariate linear regression and mixed-effects models were undertaken to test the potential intervention effect. Qualitative analysis was performed using inductive content analysis. RESULTS: The study included 176 participants (n = 129 historical control, n = 47 intervention group; mean age 56 years). Of the 50 eligible patients, 48 consented to participate (96% recruitment rate). One participant opted out of the mHealth program entirely without disclosing their reason (98% retention rate). The survey response rate was low (n = 16/47, 34%). Participants agreed/strongly agreed that text messages supported new behaviours (n = 13/15, 87%); however, few agreed/strongly agreed that the messages motivated goal setting and self-monitoring (n = 8/15, 53%), dietary change (n = 6/15, 40%), or physical activity (n = 5/15, 33%). Interviews generated four main themes (n = 12): 'motivators and expectations', 'preferences and relevance', 'reinforced information", and 'wanting social support'. The intervention reinforced information, email newsletters were lengthy/challenging to read, and text messages were favoured, yet tailoring was recommended. The intervention cost AUD 11.04 per person. The mean 12-month weight was 86 ± 16 kg and 90 ± 16 kg (intervention and historical control) with no statistically significant difference. Intervention recipients enrolled at 3 months postoperatively demonstrated a statistically significant difference in 12-month weight (p = 0.014). CONCLUSION: Although this study observed high rates of recruitment and retention, findings should be considered with caution as mHealth may have been embraced more by the intervention cohort as a result of the 2019 coronavirus pandemic. Of the various digital strategies developed and tested, the text message approach was the most acceptable; however, future intervention iterations could be strengthened through tailoring information when possible. The use of email newsletters and online resources/videos requires further testing of effectiveness to determine their value for continued use in bariatric surgery services.
RESUMEN
AIM: This study aimed to explore patient barriers to accessing services, current technology ownership/use and digital device preferences for accessing health information/health service delivery. Additionally, it aimed to explore the Theoretical Domains Framework and the acceptability of future eHealth solutions in bariatric surgery. METHODS: This mixed-method study (survey and semi-structured interviews) was conducted in a bariatric surgery service in an Australian public hospital. Quantitative data were analysed descriptively, and the qualitative data were deductively and inductively analysed. RESULTS: This study included 117 participants (n = 102 surveyed and n = 15 interviewed). Most participants were aged ≥51 years (n = 70, 60%), and two-thirds were female (n = 76, 65%). One in three participants reported barriers to accessing services (n = 38, 37%), including parking, travel time, and taking time off work. Most participants preferred to receive or access additional health information via email (n = 84, 82%) and were willing to engage with health professionals via email (n = 92, 90%), text messages (n = 87, 85%), and telephone (n = 85, 83%). Deductive analysis of interviews generated three themes: 'Knowledge', 'Social influence' and 'Behavioural regulation, goals and environmental resources'. The inductive analysis generated one theme: 'Seeing a place for eHealth in service delivery'. CONCLUSION: This study's findings can potentially influence the development of future eHealth solutions. Text message, email, and online approaches may be suitable for delivering further information and resources to patients, particularly regarding diet and physical activity. Online health communities are being used by patients for social support and may be worth further investigation. In addition, developing a bariatric surgery mobile application may be beneficial.
