The objective of this review was to analyse how researchers conducting studies about mobile health applications (MHApps) effectiveness assess the conditions of this effectiveness. A scoping review according to PRIMSA-ScR checklist. We conducted a scoping review of efficacy/effectiveness conditions in high internal validity studies assessing the efficacy of MHApps in changing physical activity behaviours and eating habits. We used the PubMed, Web of Science, SPORTDiscus and PsycINFO databases and processed the review according to the O'Malley and PRISMA-ScR recommendations. We selected studies with high internal validity methodologies (randomised controlled trials, quasi-experimental studies, systematic reviews and meta-analyses), dealing with dietary and/or physical activity behaviours; covering primary, secondary or tertiary prevention and dealing with behaviour change (uptake, maintenance). We excluded articles on MHApps relating to high-level sport and telemedicine. The process for selecting studies followed a set protocol with two authors who independently appraised the studies. Twenty-two articles were finally selected and analysed. We noted that the mechanisms and techniques to support behaviour changes were poorly reported and studied. There was no explanation of how these MHApps work and how they could be transferred or not. Indeed, the main efficacy conditions reported by authors refer to practical aspects of the tools. Moreover, the issue of social inequalities was essentially reduced to access to the technology (the shrinking access divide), and literacy was poorly studied, even though it is an important consideration in digital prevention. All in all, even when they dealt with behaviours, the evaluations were tool-focused rather than intervention-focused and did not allow a comprehensive assessment of MHApps. To understand the added value of MHApps in supporting behaviour changes, it seems important to draw on the paradigms relating to health technology assessment considering the characteristics of the technologies and on the evaluation of complex interventions considering the characteristics of prevention. This combined approach may help to clarify how these patient-focused MHApps work and is a condition for improved assessment of MHApps in terms of effectiveness, transferability and scalability.

Background: Connected health devices and applications (referred to hereafter as “SDApps” - Smart devices and applications) are being portrayed as a new way for prevention, with the promise of accessibility, effectiveness and personalization. Many effectiveness evaluations (experimental designs) with strong internal validity exist. While effectiveness does appear to vary, the mechanisms used by these devices have not yet been thoroughly investigated. This article seeks to unpack this black box, and describes the process of elaboration of an intervention theory for healthy eating and physical activity SDApps. It includes a set of requirements relative to their impact on social health inequalities.Methods: To build this theory, we drew on theory-driven approaches and in particular on the theory of change (ToC) method. To this end, we developed a cumulative and iterative process combining scientific data from the literature with knowledge from experts (researchers and practitioners) and from patients or users. It was a 3-step process, as follows: 1 - identifying the evidence base; 2 - developing the theory through design intervention and creating realistic expectations, including in our case specific work on social health inequalities (SHIs); 3 - modeling process and outcome.Results: We produced an evidence-based theory according to the ToC model, based on scientific evidence and knowledge from experts and users. It sets out a causal pathway leveraging 11 key mechanisms - theoretical domains - with which 50 behavior change techniques can be used towards 3 ultimate goals: Capacity, Opportunity, Motivation – Behavior (COM-B). Furthermore, the theory specifically integrates requirements relative to the impact on SHIs.Conclusions: This theory is an aid to SDAapp design and evaluation and it can be used to consider the question of the possible impact of SDApps on the increase in inequalities. Firstly, it enables developers to adopt a more overarching and thorough approach to supporting behavior change, and secondly it encourages comprehensive and contributive evaluations of existing SDApps. Lastly, it allows health inequalities to be fully considered.

Objectives: The current literature lacks a detailed and standardised description of public health knowledge translation (KT) activities designed to be applied at local levels of health systems. As part of an ongoing research project called theTransfert de connaissances en regions(TC-REG project), we aim to develop a local KT taxonomy in the field of health prevention by means of a participative study between researchers, decision-makers and field professionals. This KT taxonomy provides a comparative description of existing local health prevention KT strategies.Methods: Two methods were used to design a participative process conducted in France to develop the taxonomy, combining professional meetings (two seminars) and qualitative interviews. The first step involved organising a seminar in Paris, attended by health prevention professionals from health agencies in four regions of France and regional non-profit organisations for health education and promotion. This led to the drafting of regional KT plans to be implemented in the four regions. In a second step, we conducted interviews to obtain a clear understanding of the KT activities implemented in the regions. Based on data from interviews, a KT taxonomy was drawn up and discussed during a second seminar.Results: Our work resulted in a KT taxonomy composed of 35 standardised KT activities, grouped into 11 categories of KT activities, e.g. dissemination of evidence, support for use of evidence through processes and structures, KT advocacy, and so on.Conclusions: The taxonomy appears to be a promising tool for developing and evaluating KT plans for health prevention in local contexts by providing some concrete examples of potential KT activities (advocacy) and a comparison of the same activities and their outcomes (evaluation).

Objectives To propose a simple frailty screening tool able to identify frailty profiles. Design Cross-sectional observational study. Setting Participants were recruited in 3 different clinical settings: a primary care outpatient clinic (RURAL population, N=591), a geriatric day clinic (DAY-CLINIC population, N=76) and healthy volunteers (URBAN population, N=147). Participants A total of 817 older adults (>70 years old) living at home were included. Intervention A 9-item questionnaire (Lorraine Frailty Profiling Screening Scale, LoFProSS), constructed by an experts’ working group, was administered to participants by health professionals. Measurements A Multiple Correspondence Analysis (MCA) followed by a hierarchical clustering of the results of the MCA performed in each population was conducted to identify participant profiles based on their answers to LoFProSS. A response pattern algorithm was resultantly identified in the RURAL (main) population and subsequently applied to the URBAN and DAY-CLINIC populations and, in these populations, the two classification methods were compared. Finally, clinically-relevant profiles were generated and compared for their ability to similarly classify subjects. Results The response pattern differed between the 3 sub-populations for all 9 items, revealing significant intergroup differences (1.2±1.4 positive responses for URBAN vs. 2.1±1.3 for RURAL vs. 3.1+2.1 for DAY-CLINIC, all p<0.05). Five clusters were highlighted in the main RURAL population: “non-frail”, “hospitalizations”, “physical problems”, “social isolation” and “behavioral”, with similar clusters highlighted in the remaining two populations. Identification of the response pattern algorithm in the RURAL population yielded a second classification approach, with 83% of tested participants classified in the same cluster using the 2 different approaches. Three clinically-relevant profiles (“non-frail” profile, “physical frailty and diseases” profile and “cognitive-psychological frailty” profile) were subsequently generated from the 5 clusters. A similar double classification approach as above was applied to these 3 profiles revealing a very high percentage (95.6%) of similar profile classifications using both methods. Conclusion The present results demonstrate the ability of LoFProSS to highlight 3 frailty-related profiles, in a consistent manner, among different older populations living at home. Such scale could represent an added value as a simple frailty screening tool for accelerated and better-targeted investigations and interventions.

Contexte: Le service sanitaire des étudiants en santé (SSES) est un programme de 2018 de sensibilisation à la promotion de la santé (PS), à destination d’étudiants en santé français. Il comprend un temps de formation et un temps d’action des étudiants sur diverses populations. Il est déployé sur le territoire français sans évaluation préalable. L’étude que nous avons conduite a pour objectifs de i) documenter la perception et le degré d’appropriation des objectifs du SSES par les parties prenantes (étudiants et professionnels encadrants), ii) analyser les interventions réalisées par les étudiants au regard des bonnes pratiques de promotion de la santé (PS). Méthodes: Il s’agissait d’une étude de cas qualitative menée dans deux académies de la Région Nouvelle-Aquitaine : Poitiers et Bordeaux. Des entretiens ont été conduits auprès des parties prenantes, ainsi que des observations d’actions menées par les étudiants. Résultats: Nous avons réalisé 87 entretiens et 18 observations. Les données obtenues montrent que : (i) si les parties prenantes se sont fortement impliquées, les conditions de mise en place étaient difficiles et inégales, (ii) les objectifs se révèlent en décalage avec des enjeux de la prévention dans le système de soins, (iii) les étudiants ont entériné une vision erronée de la PS rationnelle et individualisant les comportements liés à la santé, et (iv) les actions menées contreviennent pour la majorité aux critères de qualité en PS, qu’ils soient pédagogiques, méthodologiques ou éthiques. Conclusion: Ces résultats ont été confortés dans l’académie de Normandie. À notre connaissance, aucune autre évaluation de ce type n’est réalisée sur le territoire français. Ceci pose des questions car les impacts observés semblent suffisamment inquiétants pour appeler à une réforme du dispositif, tant sur les objectifs que sur les accompagnements à l’action en PS (ex. sur les déterminants sociaux de la santé).

Background: Although moderate physical activity (PA) during cancer treatment has been associated with improved quality of life, reduced side effects, and even lower mortality, many barriers to successful implementation remain. Digital technology has been perceived as an effective lever for overcoming access and motivational issues but few studies have been performed to confirm this assumption. The “VISIO-AJUST” study explored the factors affecting the conditions of adherence to video-conference-based PA programs in patients undergoing cancer treatment. Methods: The VISIO-AJUST study was based on a qualitative successive case approach, guided by the principles of the realist evaluation, and applied to two French programs of PA, following three main steps: (1) Identification of factors likely to influence conditions of patients’ adherence; (2) Elaboration and testing of explanatory “Context-Mechanism-Outcome (CMO)” configurations; (3) Refinement of CMO configurations, in order to understand what, how, for whom, and under what circumstances video-conference-based PA programs work. Results: Five main CMO configurations were found to be associated with adherence to video-conferencing-based PA programs, promoting (i) accessibility and a supportive environment for adapted physical activity, (ii) a setting conducive to sociability despite distance, (iii) Confidence and security of practice, (iv) a combination of several motivational levers in favor of continuity of effort and progress, (v) regularity of the sessions, progressiveness in the effort and evaluation of progress as a basis for the adoption of a regular physical practice. Conclusion: This study provides original insights into the use of videoconferencing to enable patients to improve their PA during cancer treatment. Future research with long-term follow-up would allow for a better understanding of the key conditions promoting sustainable behavior change.