Current evidence on digital health interventions is disproportionately concerned with high-income countries and hospital settings. This scoping review evaluates the extent of use and effectiveness of digital health interventions for non-communicable disease (NCD) management in primary healthcare settings of low- and middle-income countries (LMICs) and identifies factors influencing digital health interventions’ uptake. We use PubMed, Embase, and Web of Science search results from January 2010 to 2021. Of 8866 results, 52 met eligibility criteria (31 reviews, 21 trials). Benchmarked against World Health Organization’s digital health classifications, only 14 out of 28 digital health intervention categories are found, suggesting critical under-use and lagging innovation. Digital health interventions’ effectiveness vary across outcomes: clinical (mixed), behavioral (positively inclined), and service implementation outcomes (clear effectiveness). We further identify multiple factors influencing digital health intervention uptake, including political commitment, interactivity, user-centered design, and integration with existing systems, which points to future research and practices to invigorate digital health interventions for NCD management in primary health care of LMICs.

This systematic review aimed to synthesise qualitative evidence on the views and experiences of older adults in using digital mental health interventions (DMHIs) for the prevention or self-management of mental disorders. We searched PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, Web of Science, PsycINFO, and the first 100 results of Google Scholar for eligible studies and we included 37 papers reporting 35 studies in this Review. Most DMHIs were delivered using mobile apps (n=11), websites (n=6), and video-conferencing tools (n=6). The use of DMHIs in older adults was affected by negative perceptions about ageing and mental health, the digital divide (eg, insufficient digital literacy), personal factors (eg, motivation) and health status, interpersonal influences (eg, guidance and encouragement), intervention features (eg, pace and content), technology-related factors (eg, accessibility), and the perceived benefits and risks of using DMHIs. Future DMHIs for older adults should involve other stakeholders such as health-care professionals, provide content relevant to the needs of older people, be more accessible, and address concerns about privacy and confidentiality.

Effectiveness of using visual approaches in health education and its influential factors were still in debate. This study aimed to asess the effects of visualized nutrition education on dietary knowledge and behavioral changes, and factors influencing them. A comprehensive search of PubMed, EMBASE, Scopus, and Cochrane Library was conducted. Eligible studies were trials assessed effects of visualized nutrition education on dietary knowledge or behavior changes, compared with non-visualized or no education group. Fourteen studies (n = 7,259) were qualitatively analyzed and 7 of them were included in the meta-analysis. We found a higher fiber intake in both short term (1.59 g/1000 kcals, 95% CI 0.90-2.27) and long term (1.36 g/1000 kcals, 95% CI 0.64-2.09). A marginal advantage was shown in short-term fruits and vegetables consumption (F&V consumption) (standardized mean difference [SMD] = 0.08, 95% CI -0.00 to 0.16). The education effects were more pronounced when education was delivered in series (SMDF&V consumption = 0.09, 95% CI 0.00-0.17), avoiding loss-framing (SMDFat intake = 0.31, 95% CI 0.10-0.51) and video modeling (SMDF&V consumption = 0.23, 95% CI 0.03-0.43), with short length plus cultural adaptation. Visualized nutrition education was overall promising in improving dietary behaviors. Delivering in series, short in length, with cultural adaptation were features tended to enlarge the benefits of visualized education while loss-framing and video modeling might be avoided.

Background: Nepal is a South Asian country with a high burden of non-communicable diseases. Electronic health technologies are a promising strategy to mitigate the rising burden of non-communicable diseases by strengthening primary healthcare center service delivery. However, electronic health implementation in Nepal is limited. Furthermore, electronic health use at the primary healthcare center level is chronically understudied. This qualitative study seeks to understand the perceived awareness, benefits, and determinants of electronic health uptake in Nepal, focusing on primary healthcare center-level non-communicable disease management. Methods: We conducted in-depth interviews with 27 participants including policymakers, health experts, facility administrators, providers, and non-communicable diseases patients in 2019. We selected six urban primary healthcare center facilities via cluster convenience sampling for recruiting facility administrators, providers, and patients, and used convenience sampling to recruit policymakers and experts. We conducted thematic data analysis inductively and deductively using the electronic health readiness assessment framework to understand perceived barriers and facilitators of electronic health implementation. Results: While there was general awareness and acceptance of electronic health, multiple barriers impede readiness for implementation. These include policy making gaps, language barriers, low user technical literacy, concerns of overreliance on technology, and inadequate training for administrators and providers. Stakeholder suggestions include creating electronic health interfaces that meet the needs of end users (providers and patients), providing training to enable end users to effectively use electronic health technologies, and strong policy support at the national level. Conclusion: We identify several determinants for effectively promoting the use of electronic health for non-communicable diseases service delivery at the primary healthcare center level in Nepal.