IntroductionThe pace and scale of the COVID-19 pandemic, coupled with ongoing efforts by health agencies to communicate harms, have created a pressing need for data to inform messaging about smoking, vaping, and COVID-19. We examined reactions to COVID-19 and traditional health harms messages discouraging smoking and vaping.MethodsParticipants were a national convenience sample of 810 US adults recruited online in May 2020. All participated in a smoking message experiment and a vaping message experiment, presented in a random order. In each experiment, participants viewed one message formatted as a Twitter post. The experiments adopted a 3 (traditional health harms of smoking or vaping: three harms, one harm, absent) × 2 (COVID-19 harms: one harm, absent) between-subjects design. Outcomes included perceived message effectiveness (primary) and constructs from the Tobacco Warnings Model (secondary: attention, negative affect, cognitive elaboration, social interactions).ResultsSmoking messages with traditional or COVID-19 harms elicited higher perceived effectiveness for discouraging smoking than control messages without these harms (all p <0.001). However, including both traditional and COVID-19 harms in smoking messages had no benefit beyond including either alone. Smoking messages affected Tobacco Warnings Model constructs and did not elicit more reactance than control messages. Smoking messages also elicited higher perceived effectiveness for discouraging vaping. Including traditional harms in messages about vaping elicited higher perceived effectiveness for discouraging vaping (p <0.05), but including COVID-19 harms did not.ConclusionsMessages linking smoking with COVID-19 may hold promise for discouraging smoking and may have the added benefit of also discouraging vaping.

Context Effective handwashing can prevent the spread of germs, including Covid-19. However, young children can lack a fundamental understanding of germ transfer. A Germ’s Journey educational resources were designed to support young children in learning about germs and handwashing. These resources include a book, website, song, online games and glo-gel activities that are informed by a behaviour change model. Research gap Prior research has not evaluated the impacts of these resources on behavioural outcomes. Purpose of the study Two intervention studies evaluated the impacts of these resources on both knowledge and behavioural outcomes. Method In Study 1, children (n = 225) were recruited from four schools and randomly assigned by classrooms to participate in a multicomponent intervention (vs. control). In Study 2, children (n = 104) were recruited from a museum and randomly assigned to participate in a song intervention (vs. control). Trained observers recorded participants’ engagement in six handwashing behaviours and their understanding of germs. These behavioural and knowledge outcomes were analysed using regression and related analyses. Results In Study 1, significant improvements were observed between baseline and follow up in the intervention group for both behavioural scores (Est = 0.48, SE = 0.14, t = 3.30, p = 0.001) and knowledge scores (Est = 2.14, SE = 0.52, z = 4.11, p < 0.001), whereas these improvements were not observed in the control group (ts < 1). In Study 2, the intervention group had significantly higher behavioural scores compared to the control group (Est. = -0.71, SE = 0.34, t = -2.07, p = 0.04). Conclusion This research demonstrates that specifically designed hand hygiene educational resources can improve handwashing practice and understanding in young children, and could lead to the reduction of the transmission of disease within this group.

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Background: The COVID-19 pandemic interrupted the delivery of face-to-face pain services including pain management programmes in the United Kingdom with considerable negative impact on patients with chronic musculoskeletal pain. We aimed to develop and implement a remotely delivered pain management programme (PMP) using video-conferencing technology that contains all the core components of a full programme: the ‘virtual PMP’ (vPMP). By reporting on the process of this development, we endeavour to help address the paucity of literature on the development of remote pain management programmes. Methods: The vPMP was developed by an inter-disciplinary group of professionals as a quality improvement (QI) project. The Model for Improvement Framework was employed with patient involvement at the design phase and at subsequent improvements. Improvement was measured qualitatively with frequent and repeated qualitative data collection leading to programme change. Quantitative patient demographic comparisons were made with a patient cohort who had been on a face-to-face PMP pathway. Results: Sixty-one patients on the PMP waiting list were contacted and 43 met the criteria for the programme. Fourteen patients participated in three vPMP cycles. Patient involvement and comprehensive stakeholder consultation were essential to a robust design for the first vPMP. Continued involvement of patient partners during the QI process led to rapid resolution of implementation problems. The most prominent issues that needed action were technical challenges including training needs, participant access to physical and technological resources, participant fatigue and concerns about adequate communication and peer support. Conclusion: This report demonstrates how a remotely delivered PMP, fully in line with national guidance, was rapidly developed and implemented in a hospital setting for patients with chronic musculoskeletal pain. We also discuss the relevance of our findings to the issues of cost, patient experience, patient preferences and inequities of access in delivering telerehabilitation for chronic pain.

Introduction Remotely delivered pain management programmes have been offered in place of in-person programmes by many chronic pain services since the onset of the COVID-19 pandemic. There is a lack of evidence regarding the acceptability of these programmes. In this evaluation, we have explored patients’ acceptability of a remotely delivered pain management programme for patients with persistent musculoskeletal pain. Methods Qualitative data were collected using focus groups with participants who had previously attended the remote pain management programme. Data were analysed using abductive analysis. Results Three focus groups were conducted with a total of 13 participants. The programmme was either entirely acceptable, had some acceptable components or was not acceptable to patients. Factors leading to the programme being acceptable include learning to manage pain from home, receiving high quality care from home, enhancing the potential of rehabilitation using technology, enabling attendance on a pain management programme from home, overcoming social distancing requirements of COVID-19 using technology, and virtual peer support. Factors leading to the programme not being acceptable include having an inappropriate home environment for virtual therapy, communication challenges with virtual therapy, technological issues and concerns regarding the quality of care. Conclusions There is a spectrum of acceptability with respect to the remote programme. The factors that influence this are dynamic, individual and situational. Hybrid programmes have the potential to enhance access to pain management programmes and improve patient experience and programme outcomes in the future.