Background.In low- and middle-income countries, mental health training often includes sending few generalist clinicians to specialist-led programs for several weeks. Our objective is to develop and test a video-assisted training model addressing the shortcomings of traditional programs that affect scalability: failing to train all clinicians, disrupting clinical services, and depending on specialists.Methods.We implemented the program -video lectures and on-site skills training- for all clinicians at a rural Nepali hospital. We used Wilcoxon signed-rank tests to evaluate pre- and post-test change in knowledge (diagnostic criteria, differential diagnosis, and appropriate treatment). We used a series of ‘Yes’ or ‘No’ questions to assess attitudes about mental illness, and utilized exact McNemar's test to analyze the proportions of participants who held a specific belief before and after the training. We assessed acceptability and feasibility through key informant interviews and structured feedback.Results.For each topic except depression, there was a statistically significant increase (Δ) in median scores on knowledge questionnaires: Acute Stress Reaction (Δ = 20, p = 0.03), Depression (Δ = 11, p = 0.12), Grief (Δ = 40, p < 0.01), Psychosis (Δ = 22, p = 0.01), and post-traumatic stress disorder (Δ = 20, p = 0.01). The training received high ratings; key informants shared examples and views about the training's positive impact and complementary nature of the program's components.Conclusion.Video lectures and on-site skills training can address the limitations of a conventional training model while being acceptable, feasible, and impactful toward improving knowledge and attitudes of the participants.

Low-income and middle-income countries are struggling with a growing epidemic of non-communicable diseases. To achieve the Sustainable Development Goals, their healthcare systems need to be strengthened and redesigned. The Starfield 4Cs of primary care—first-contact access, care coordination, comprehensiveness and continuity—offer practical, high-quality design options for non-communicable disease care in low-income and middle-income countries. We describe an integrated non-communicable disease intervention in rural Nepal using the 4C principles. We present 18 months of retrospective assessment of implementation for patients with type II diabetes, hypertension and chronic obstructive pulmonary disease. We assessed feasibility using facility and community follow-up as proxy measures, and assessed effectiveness using singular ‘at-goal’ metrics for each condition. The median follow-up for diabetes, hypertension and chronic obstructive pulmonary disease was 6, 6 and 7 facility visits, and 10, 10 and 11 community visits, respectively (0.9 monthly patient touch-points). Loss-to-follow-up rates were 16%, 19% and 22%, respectively. The median time between visits was approximately 2 months for facility visits and 1 month for community visits. ‘At-goal’ status for patients with chronic obstructive pulmonary disease improved from baseline to endline (p=0.01), but not for diabetes or hypertension. This is the first integrated non-communicable disease intervention, based on the 4C principles, in Nepal. Our experience demonstrates high rates of facility and community follow-up, with comparatively low lost-to-follow-up rates. The mixed effectiveness results suggest that while this intervention may be valuable, it may not be sufficient to impact outcomes. To achieve the Sustainable Development Goals, further implementation research is urgently needed to determine how to optimise non-communicable disease interventions.

The collaborative care model is an evidence-based intervention for behavioral and other chronic conditions that has the potential to address the large burden of mental illness globally. Using the World Health Organization Health Systems Framework, the authors present challenges in implementing this model in low- and middle-income countries (LMICs) and discuss strategies to address these challenges based on experiences with three large-scale programs: an implementation research study in a district- level government hospital in rural Nepal, one clinical trial in 50 primary health centers in rural India, and one study in four diabetes clinics in India. Several strategies can be utilized to address implementation challenges and enhance scalability in LMICs, including mobilizing community resources, engaging in advocacy, and strengthening the overall health care delivery system.

Although there are guidelines for transcultural adaptation and validation of psychometric tools, similar resources do not exist for translation of diagnostic and symptom terminology used by health professionals to communicate with one another, their patients, and the public. The issue of translation is particularly salient when working with underserved, non-English speaking populations in high-income countries and low- and middle-income countries. As clinicians, researchers, and educators working in cross-cultural settings, we present four recommendations to avoid common pitfalls in these settings. We demonstrate the need for: (1) harmonization of terminology among clinicians, educators of health professionals, and health policymakers; (2) distinction in terminology used among health professionals and that used for communication with patients, families, and the lay public; (3) linkage of symptom assessment with functional assessment; and (4) establishment of a culture of evaluating communication and terminology for continued improvement.