Identifying Frameworks for Validation and Monitoring of Consensual Behavioral Intervention Technologies: Narrative Review

[Non-pharmacological interventions: A new paradigm and opportunities for internists]

The notion of non-pharmacological interventions (NPI) has been used by healthcare researchers since 1975, and is cited in numerous reports by French, European and international healthcare authorities, such as the WHO since 2003 and the HAS since 2011. However, it was only recently that a collaborative initiative of consensus was launched to address the lack of consensus on how to define and evaluate these health practices, amplified by the media controversy surrounding these practices during the COVID-19 episode. Indeed, in 2021, the launch of a collaborative and open research program responding to international scientific expectations in the healthcare field and to the specificities of these immaterial, personalized and targeted healthcare solutions has finally been initiated. The first part of this article, intended for specialists in internal medicine, describes the consensus-building work carried out under the guidance of a multidisciplinary committee, with the support of Inserm and the logistics of the international Non-Pharmacological Intervention Society (NPIS). Over a period of three years, this work, involving more than 1000 participants, established a definition, a characterization and an evaluative framework including 77 ethical and methodological recommendations for these practices. This NPIS Model framework has received the support of 30 French scientific and medical societies, two European societies and three French health authorities. The second part of the article presents the collaborative tools that have emerged from this work. Finally, the third part of the article looks at the implications of NPI for research and practice in the field of internal medicine.

Mind-body practices in chronic inflammatory arthritis

Mind-body practices are complementary approaches recognized by the World Health Organization (WHO). While these practices are very diverse, they all focus on the interaction between mind and body. These include mindful meditation, yoga, Tai Chi, sophrology, hypnosis and various relaxation techniques. There is growing interest in incorporating these strategies in the management of chronic rheumatic diseases including rheumatoid arthritis. The aim of this review is to describe the main mind-body practices and analyze the existing evidence in chronic rheumatic diseases. In rheumatoid arthritis, the Mindfulness-Based Stress Reduction program, yoga, Tai Chi and relaxation may improve patient-reported outcomes, but the benefit on inflammation and structural progression is unclear. In spondyloarthritis, very few studies are available but similar evidence exist. Further evaluations of these practices in chronic rheumatic diseases are needed since their risk/benefit ratio appears excellent.

Planning Individual and Population-Based Interventions in Global Health: Applying the DEA-A Framework to Promote Behavioral, Emotional, and/or Cognitive Change among Stakeholders

Addressing health challenges that impact human well-being requires a comprehensive, interdisciplinary approach that would be at the crossroad of population-based prevention and individual-level clinical care, which is in line with a Global Health perspective. In the absence of a unifying theoretical framework to guide such interventions, a Dynamic Ecosystem Adaptation through the Allostasis (DEA-A) framework has been proposed, emphasizing the functional adaptation of individuals and organizations in symbiosis with their living ecosystem. While a conceptual model has been presented, this methodological contribution aims at illustrating the practical application of the DEA-A framework for planning Global Health interventions. The methodology combines Intervention Mapping and Cognitive and Behavioral Theory, extended to the ecosystem. Practical guidelines and supporting tools are provided to help public health providers and clinicians in establishing a functional ecosystem diagnosis of the issue; defining not only behavioral, but also emotional and cognitive change objectives (allostasis targets) expected for each stakeholder; and designing intervention plans targeting determinants of these allostasis. The discussion addresses implementation and evaluation perspectives of interventions based on the DEA-A framework, emphasizing the importance of considering change in its processual and ecosystem complexity. Lastly, encouragements for a deeper understanding of individual and ecosystem homeostasis/allostasis processes are made in order to promote more functional interventions.

Impact of a public commitment charter, a non-prescription pad and an antibiotic information leaflet to improve antibiotic prescription among general practitioners: A randomised controlled study

BACKGROUND

This study evaluated the effect of a multifaceted antibiotic stewardship intervention on the overall prescription of systemic antibiotics in primary care. Secondary objectives evaluated the effect on the prescription of broad-spectrum antibiotics and the seasonal variation of both total antibiotic and quinolone prescriptions, as a proxy for unnecessary prescribing.

METHODS

This pragmatic, randomised, controlled, before-after intervention study was conducted among general practitioners (GPs) who over prescribe antibiotics in Lorraine, France (Intervention group, n = 109; Control group, n = 236; Before period, 01/10/2017-30/09/2018; After period, 01/10/2018-30/09/2019). The intervention included a public commitment charter, a patient information leaflet and a non-prescription pad. Health Insurance data was obtained to calculate overall and broad-spectrum prescription rate (defined daily doses/1000 consultations) and the seasonal variation of prescriptions (%), by period. The intervention effect was measured with general linear mixed models including three independent variables (group, period and group x period interaction).

RESULTS

Overall, compared to the Before period, GPs in both groups prescribed significantly fewer systemic antibiotics (p < 0.001) and broad-spectrum antibiotics (p < 0.001) after the intervention was implemented. However, the group x period interaction did not show any evidence that the intervention had an effect on these outcomes. Nevertheless, the intervention did result in a trend towards less seasonal variation in total systemic antibiotic prescription (p = 0.052).

CONCLUSIONS

A tendency towards an effect of the intervention to reduce unnecessary antibiotic prescribing during winter months was observed. No effect was observed on the overall volume of systemic antibiotic prescription. This study invites discussion about the challenges faced when evaluating non-pharmacological interventions in primary care.

Novel behaviour change frameworks for digital health interventions: A critical review

Digital health interventions - interventions delivered over digital media to support the health of users - are becoming increasingly prevalent. Utilising an intervention development framework can increase the efficacy of digital interventions for health-related behaviours. This critical review aims to outline and review novel behaviour change frameworks that guide digital health intervention development. Our comprehensive search for preprints and publications used PubMed, PsycINFO, Scopus, Web of Science and the Open Science Framework repository. Articles were included if they: (1) were peer-reviewed; (2) proposed a behaviour change framework to guide digital health intervention development; (3) were written in English; (4) were published between 1/1/19 and 1/8/2021; and (5) were applicable to chronic diseases. Intervention development frameworks considered the user, intervention elements and theoretical foundations. However, the timing and policy of interventions are not consistently addressed across frameworks. Researchers should deeply consider the digital applicability of behaviour change frameworks to improve intervention success.

Guidance on selecting a translational framework for intervention development: Optimizing interventions for impact

Intervention development frameworks offer the behavioral sciences a systematic and rigorous empirical process to guide the translation of basic science into practice in pursuit of desirable public health and clinical outcomes. The multiple frameworks that have emerged share a goal of optimization during intervention development and can increase the likelihood of arriving at an effective and disseminable intervention. Yet, the process of optimizing an intervention differs functionally and conceptually across frameworks, creating confusion and conflicting guidance on when and how to optimize. This paper seeks to facilitate the use of translational intervention development frameworks by providing a blueprint for selecting and using a framework by considering the process of optimization as conceptualized by each. First, we operationalize optimization and contextualize its role in intervention development. Next, we provide brief overviews of three translational intervention development frameworks (ORBIT, MRC, and MOST), identifying areas of overlap and divergence thereby aligning core concepts across the frameworks to improve translation. We offer considerations and concrete use cases for investigators seeking to identify and use a framework in their intervention development research. We push forward an agenda of a norm to use and specify frameworks in behavioral science to support a more rapid translational pipeline.

Comment mener une recherche interventionnelle en psycho-oncologie ? Développement, évaluation et implémentation en pratique clinique

Cet article a pour objectif de décrire les méthodes pouvant être utilisées pour développer, évaluer et implémenter en pratique clinique de nouvelles interventions en psycho-oncologie. Pour cela, deux modèles de référence à l’international sont présentés afin d’apporter un éclairage scientifique aux différents acteurs impliqués dans ces recherches. Ce travail concerne cliniciens, chercheurs, acteurs institutionnels et patients ; cela afin de développer de nouveaux projets utilisant une rigueur méthodologique et d’intérêt pour améliorer les conditions des patients et des proches.

Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial

Background

Though maintaining physical conditioning and a healthy weight are requirements of active military duty, many US veterans lose conditioning and rapidly gain weight after discharge from active duty service. Mobile health (mHealth) interventions using wearable devices are appealing to users and can be effective especially with personalized coaching support. We developed Stay Strong, a mobile app tailored to US veterans, to promote physical activity using a wrist-worn physical activity tracker, a Bluetooth-enabled scale, and an app-based dashboard. We tested whether adding personalized coaching components (Stay Strong+Coaching) would improve physical activity compared to Stay Strong alone.

Objective

The goal of this study is to compare 12-month outcomes from Stay Strong alone versus Stay Strong+Coaching.

Methods

Participants (n=357) were recruited from a national random sample of US veterans of recent wars and randomly assigned to the Stay Strong app alone (n=179) or Stay Strong+Coaching (n=178); both programs lasted 12 months. Personalized coaching components for Stay Strong+Coaching comprised of automated in-app motivational messages (3 per week), telephone-based human health coaching (up to 3 calls), and personalized weekly goal setting. All aspects of the enrollment process and program delivery were accomplished virtually for both groups, except for the telephone-based coaching. The primary outcome was change in physical activity at 12 months postbaseline, measured by average weekly Active Minutes, captured by the Fitbit Charge 2 device. Secondary outcomes included changes in step counts, weight, and patient activation.

Results

The average age of participants was 39.8 (SD 8.7) years, and 25.2% (90/357) were female. Active Minutes decreased from baseline to 12 months for both groups (P<.001) with no between-group differences at 6 months (P=.82) or 12 months (P=.98). However, at 12 months, many participants in both groups did not record Active Minutes, leading to missing data in 67.0% (120/179) for Stay Strong and 61.8% (110/178) for Stay Strong+Coaching. Average baseline weight for participants in Stay Strong and Stay Strong+Coaching was 214 lbs and 198 lbs, respectively, with no difference at baseline (P=.54) or at 6 months (P=.28) or 12 months (P=.18) postbaseline based on administrative weights, which had lower rates of missing data. Changes in the number of steps recorded and patient activation also did not differ by arm.

Conclusions

Adding personalized health coaching comprised of in-app automated messages, up to 3 coaching calls, plus automated weekly personalized goals, did not improve levels of physical activity compared to using a smartphone app alone. Physical activity in both groups decreased over time. Sustaining long-term adherence and engagement in this mHealth intervention proved difficult; approximately two-thirds of the trial’s 357 participants failed to sync their Fitbit device at 12 months and, thus, were lost to follow-up.

Trial Registration

ClinicalTrials.gov NCT02360293; https://clinicaltrials.gov/ct2/show/NCT02360293

International Registered Report Identifier (IRRID)

RR2-10.2196/12526

Influence of Connected Health Interventions for Adherence to Cardiovascular Disease Prevention: A Scoping Review

BACKGROUND

Recent health care developments include connected health interventions to improve chronic disease management and/or promote actions reducing aggravating risk factors for conditions such as cardiovascular diseases. Adherence is one of the main challenges for ensuring the correct use of connected health interventions over time.

OBJECTIVE

This scoping review deals with the connected health interventions used in interventional studies, describing the ways in which these interventions and their functions effectively help patients to deal with cardiovascular risk factors over time, in their own environments. The objective is to acquire knowledge and highlight current trends in this field, which is currently both productive and immature.

METHODS

A structured literature review was constructed from Medline-indexed journals in PubMed. We established inclusion criteria relating to three dimensions (cardiovascular risk factors, connected health interventions, and level of adherence). Our initial search yielded 98 articles; 78 were retained after screening on the basis of title and abstract, 49 articles underwent full-text screening, and 24 were finally retained for the analysis, according to preestablished inclusion criteria. We excluded studies of invasive interventions and studies not dealing with digital health. We extracted a description of the connected health interventions from data for the population or end users.

RESULTS

We performed a synthetic analysis of outcomes, based on the distribution of bibliometrics, and identified several connected health interventions and main characteristics affecting adherence. Our analysis focused on three types of user action: to read, to do, and to connect. Finally, we extracted current trends in characteristics: connect, adherence, and influence.

CONCLUSION

Connected health interventions for prevention are unlikely to affect outcomes significantly unless other characteristics and user preferences are considered. Future studies should aim to determine which connected health design combinations are the most effective for supporting long-term changes in behavior and for preventing cardiovascular disease risks.

Effect of Age on the Initiation of Biologic Agent Therapy in Patients With Inflammatory Bowel Disease: Korean Common Data Model Cohort Study

BACKGROUND

The Observational Health Data Sciences and Informatics (OHDSI) network is an international collaboration established to apply open-source data analytics to a large network of health databases, including the Korean common data model (K-CDM) network.

OBJECTIVE

The aim of this study is to analyze the effect that age at diagnosis has on the prognosis of inflammatory bowel disease (IBD) in Korea using a CDM network database.

METHODS

We retrospectively analyzed the K-CDM network database from 2005 to 2015. We transformed the electronic medical record into the CDM version 5.0 used in OHDSI. A worsened IBD prognosis was defined as the initiation of therapy with biologic agents, including infliximab and adalimumab. To evaluate the effect that age at diagnosis had on the prognosis of IBD, we divided the patients into an early-onset (EO) IBD group (age at diagnosis <40 years) and a late-onset (LO) IBD group (age at diagnosis ≥40 years) with the cutoff value of age at diagnosis as 40 years, which was calculated using the Youden index method. We then used the logrank test and Cox proportional hazards model to analyze the effect that age at diagnosis (EO group vs LO group) had on the prognosis in patients with IBD.

RESULTS

A total of 3480 patients were enrolled. There was 2017 patients with ulcerative colitis (UC) and 1463 with Crohn's disease (CD). The median follow up period was 109.5 weeks. The EO UC group was statistically significant and showed less event-free survival (ie, experiences of biologic agents) than the LO UC group (P<.001). In CD, the EO CD group showed less event-free survival (ie, experiences of biologic agents) than the LO CD group. In the Cox proportional hazard analysis, the odds ratio (OR) of the EO UC group on experiences of biologic agents compared with the LO UC group was 2.3 (95% CI 1.3-3.8, P=.002). The OR of the EO CD group on experiences of biologic agents compared with the LO CD group was 5.4 (95% CI 1.9-14.9, P=.001).

CONCLUSIONS

The EO IBD group showed a worse prognosis than the LO IBD group in Korean patients with IBD. In addition, this study successfully verified the CDM model in gastrointestinal research.