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Self-stigma-the internalization of negative community attitudes and beliefs about a disease or condition-represents an important barrier to improving patient care outcomes for people living with common mental disorders and diabetes. Integrated behavioral healthcare interventions are recognized as evidence-based approaches to improve access to behavioral healthcare and for improving patient outcomes, including for those with comorbid diabetes, yet their impact on addressing self-stigma remains unclear. Using secondary data from the Integrating Depression and Diabetes Treatment (INDEPENDENT) study-a trial that aimed to improve diabetes outcomes for people with undertreated and comorbid depression in four urban Indian cities via the Collaborative Care Model-we longitudinally analyzed self-stigma scores and evaluated whether change in total self-stigma scores on diabetes outcomes is mediated by depressive symptom severity. Self-stigma scores did not differ longitudinally comparing Collaborative Care Model participants to enhanced standard-of-care participants (mean monthly rate of change in Self-Stigma Scale for Chronic Illness-4 Item scores; B = 0.0087; 95% CI: -0.0018, 0.019, P = .10). Decreases in total self-stigma scores over 12 months predicted diabetes outcomes at 12 months (HbA1c, total effect; B = 0.070 95%CI: 0.0032, 0.14; P < .05), however depressive symptoms did not mediate this relationship (average direct effect; B = 0.064; 95% CI: -0.0043, 0.13, P = .069). Considering the local and plural notions of stigma in India, further research is needed on culturally grounded approaches to measure and address stigma in India, and on the role of integrated care delivery models alongside multi-level stigma reduction interventions. Trial registration : ClinicalTrials.gov, NCT02022111. https://clinicaltrials.gov/study/NCT02022111.

Abstract Background Timely tracking of health outcomes is difficult in low- and middle-income countries without comprehensive vital registration systems. Community health workers (CHWs) are increasingly collecting vital events data while delivering routine care in low-resource settings. It is necessary, however, to assess whether routine programmatic data collected by CHWs are sufficiently reliable for timely monitoring and evaluation of health interventions. To study this, we assessed the consistency of vital events data recorded by CHWs using two methodologies—routine data collected while delivering an integrated maternal and child health intervention, and data from a birth history census approach at the same site in rural Nepal. Methods We linked individual records from routine programmatic data from June 2017 to May 2018 with those from census data, both collected by CHWs at the same site using a mobile platform. We categorized each vital event over a one-year period as ‘recorded by both methods,’ ‘census alone,’ or ‘programmatic alone.’ We further assessed whether vital events data recorded by both methods were classified consistently. Results From June 2017 to May 2018, we identified a total of 713 unique births collectively from the census (birth history) and programmatic maternal ‘post-delivery’ data. Three-fourths of these births (n = 526) were identified by both. There was high consistency in birth location classification among the 526 births identified by both methods. Upon including additional programmatic ‘child registry’ data, we identified 746 total births, of which 572 births were identified by both census and programmatic methods. Programmatic data (maternal ‘post-delivery’ and ‘child registry’ combined) captured more births than census data (723 vs. 595). Both methods consistently classified most infants as ‘living,’ while infant deaths and stillbirths were largely classified inconsistently or recorded by only one method. Programmatic data identified five infant deaths and five stillbirths not recorded in census data. Conclusions Our findings suggest that data collected by CHWs from routinely tracking pregnancies, births, and deaths are promising for timely program monitoring and evaluation. Despite some limitations, programmatic data may be more sensitive in detecting vital events than cross-sectional census surveys asking women to recall these events.

Background The collaborative care management (CoCM) model is an evidence-based intervention for integrating behavioral health care into nonpsychiatric settings. CoCM has been extensively studied in primary care clinics, but implementation in nonconventional clinics, such as those tailored to provide care for high-need, complex patients, has not been well described. Method We adapted CoCM for a low-barrier HIV clinic that provides walk-in medical care for a patient population with high levels of mental illness, substance use, and housing instability. The Exploration, Preparation, Implementation, and Sustainment model guided implementation activities and support through the phases of implementing CoCM. The Framework for Reporting Adaptations and Modifications to Evidence-Based Interventions guided our documentation of adaptations to process-of-care elements and structural elements of CoCM. We used a multicomponent strategy to implement the adapted CoCM model. In this article, we describe our experience through the first 6 months of implementation. Results The key contextual factors necessitating adaptation of the CoCM model were the clinic team structure, lack of scheduled appointments, high complexity of the patient population, and time constraints with competing priorities for patient care, all of which required substantial flexibility in the model. The process-of-care elements were adapted to improve the fit of the intervention with the context, but the core structural elements of CoCM were maintained. Conclusions The CoCM model can be adapted for a setting that requires more flexibility than the usual primary care clinic while maintaining the core elements of the intervention.

Skilled care during pregnancy, childbirth, and postpartum is essential to prevent adverse maternal health outcomes, yet utilization of care remains low in many resource-limited countries, including Nepal. Community health workers (CHWs) can mitigate health system challenges and geographical barriers to achieving universal health coverage. Gaps remain, however, in understanding whether evidence-based interventions delivered by CHWs, closely aligned with WHO recommendations, are effective in Nepal's context. We conducted a type II hybrid effectiveness-implementation, mixed-methods study in two rural districts in Nepal to evaluate the effectiveness and the implementation of an evidence-based integrated maternal and child health intervention delivered by CHWs, using a mobile application. The intervention was implemented stepwise over four years (2014-2018), with 65 CHWs enrolling 30,785 families. We performed a mixed-effects Poisson regression to assess institutional birth rate (IBR) pre-and post-intervention. We used the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework to evaluate the implementation during and after the study completion. There was an average 30% increase in IBR post-intervention, adjusting for confounding variables (p

Abstract Background Access to high-quality antenatal care services has been shown to be beneficial for maternal and child health. In 2016, the WHO published evidence-based recommendations for antenatal care that aim to improve utilization, quality of care, and the patient experience. Prior research in Nepal has shown that a lack of social support, birth planning, and resources are barriers to accessing services in rural communities. The success of CenteringPregnancy and participatory action women’s groups suggests that group care models may both improve access to care and the quality of care delivered through women’s empowerment and the creation of social networks. We present a group antenatal care model in rural Nepal, designed and implemented by the healthcare delivery organization Nyaya Health Nepal, as well as an assessment of implementation outcomes. Methods The study was conducted at Bayalata Hospital in Achham, Nepal, via a public private partnership between the Nepali non-profit, Nyaya Health Nepal, and the Ministry of Health and Population, with financial and technical assistance from the American non-profit, Possible. We implemented group antenatal care as a prospective non-randomized cluster-controlled, type I hybrid effectiveness-implementation study in six village clusters. The implementation approach allows for iterative improvement in design, making changes to improve the quality of the intervention. Assessments of implementation process and model fidelity were undertaken using a mobile checklist completed by nurse supervisors, and observation forms completed by program leadership. We evaluated data quarterly using descriptive statistics to identify trends. Qualitative interviews and team communications were analyzed through immersion crystallization to identify major themes that evolved during the implementation process. Results A total of 141 group antenatal sessions were run during the study period. This paper reports on implementation results, whereas we analyze and present patient-level effectiveness outcomes in a complementary paper in this journal. There was high process fidelity to the model, with 85.7% (95% CI 77.1–91.5%) of visits completing all process elements, and high content fidelity, with all village clusters meeting the minimum target frequency for 80% of topics. The annual per capita cost for group antenatal care was 0.50 USD. Qualitative analysis revealed the compromise of stable gestation-matched composition of the group members in order to make the intervention feasible. Major adaptations were made in training, documentation, feedback and logistics. Conclusion Group antenatal care provided in collaboration with local government clinics has the potential to provide accessible and high quality antenatal care to women in rural Nepal. The intervention is a feasible and affordable alternative to individual antenatal care. Our experience has shown that adaptation from prior models was important for the program to be successful in the local context within the national healthcare system. Trial registration ClinicalTrials.gov Identifier: NCT02330887, registered 01/05/2015, retroactively registered.

Abstract Background Low- and middle-income countries are facing an increasing burden of disability and death due to cardiovascular diseases. Policy makers and healthcare providers alike need resource estimation tools to improve healthcare delivery and to strengthen healthcare systems to address this burden. We estimated the direct medical costs of primary prevention, screening, and management for cardiovascular diseases in a primary healthcare center in Nepal based on the Global Hearts evidence based treatment protocols for risk-based management. Methods We adapted the World Health Organization’s non-communicable disease costing tool and built a model to predict the annual cost of primary CVD prevention, screening, and management at a primary healthcare center level. We used a one-year time horizon and estimated the cost from the Nepal government’s perspective. We used Nepal health insurance board’s price for medicines and laboratory tests, and used Nepal government’s salary for human resource cost. With the model, we estimated annual incremental cost per case, cost for the entire population, and cost per capita. We also estimated the amount of medicines for one-year, annual number of laboratory tests, and the monthly incremental work load of physicians and nurses who deliver these services. Results For a primary healthcare center with a catchment population of 10,000, the estimated cost to screen and treat 50% of eligible patients is USD21.53 per case and averages USD1.86 per capita across the catchment population. The cost of screening and risk profiling only was estimated to be USD2.49 per case. At same coverage level, we estimated that an average physician’s workload will increase annually by 190 h and by 111 h for nurses, i.e., additional 28.5 workdays for physicians and 16.7 workdays for nurses. The total annual cost could amount up to USD18,621 for such a primary healthcare center. Conclusion This is a novel study for a PHC-based, primary CVD risk-based management program in Nepal, which can provide insights for programmatic and policy planners at the Nepalese municipal, provincial and central levels in implementing the WHO Global Hearts Initiative. The costing model can serve as a tool for financial resource planning for primary prevention, screening, and management for cardiovascular diseases in other low- and middle-income country settings globally.

Abstract Background In Nepal, the burden of noncommunicable, chronic diseases is rapidly rising, and disproportionately affecting low and middle-income countries. Integrated interventions are essential in strengthening primary care systems and addressing the burden of multiple comorbidities. A growing body of literature supports the involvement of frontline providers, namely mid-level practitioners and community health workers, in chronic care management. Important operational questions remain, however, around the digital, training, and supervisory structures to support the implementation of effective, affordable, and equitable chronic care management programs. Methods A 12-month, population-level, type 2 hybrid effectiveness-implementation study will be conducted in rural Nepal to evaluate an integrated noncommunicable disease care management intervention within Nepal’s new municipal governance structure. The intervention will leverage the government’s planned roll-out of the World Health Organization’s Package of Essential Noncommunicable Disease Interventions (WHO-PEN) program in four municipalities in Nepal, with a study population of 80,000. The intervention will leverage both the WHO-PEN and its cardiovascular disease-specific technical guidelines (HEARTS), and will include three evidence-based components: noncommunicable disease care provision using mid-level practitioners and community health workers; digital clinical decision support tools to ensure delivery of evidence-based care; and training and digitally supported supervision of mid-level practitioners to provide motivational interviewing for modifiable risk factor optimization, with a focus on medication adherence, and tobacco and alcohol use. The study will evaluate effectiveness using a pre–post design with stepped implementation. The primary outcomes will be disease-specific, “at-goal” metrics of chronic care management; secondary outcomes will include alcohol and tobacco consumption levels. Discussion This is the first population-level, hybrid effectiveness-implementation study of an integrated chronic care management intervention in Nepal. As low and middle-income countries plan for the Sustainable Development Goals and universal health coverage, the results of this pragmatic study will offer insights into policy and programmatic design for noncommunicable disease care management in the future. Trial registration ClinicalTrials.gov, NCT04087369. Registered on 12 September 2019.

Adolescent girls in low- and middle-income countries continue to face poor sexual and reproductive health (SRH). In Nepal, early marriage and motherhood, gender-based violence, and unmet need for contraception remain pervasive. Adolescent girls in rural areas bear a disproportionate burden of poor reproductive health outcomes, but there are limited context-specific data. This is a qualitative study to identify factors that impact adolescent girls’ utilisation of and access to SRH services in a rural district of Nepal. We conducted 21 individual interviews with adolescent girls aged 15–19 years, and three focus group discussions with community health workers. We used an inductive analytic approach to identify emergent and recurrent themes and present the themes using the social ecological model. Individual-level factors that contribute to low uptake of services among adolescent girls include lack of knowledge, self-perceived lack of need, low decision-making autonomy, and shyness. Interpersonal factors that impact access include unsupportive family norms, absence of open communication, and need for permission from family members to access care. At the community level, disparate gender norms, son preference, and judgment by community members affect adolescent SRH. Inadequate sex education, far travel distance to facilities, lack of female healthcare providers and teachers, and inability to access abortion services were identified as organisational and systems barriers. Stigma was a factor cross-cutting several levels. Our findings suggest the need for multi-level strategies to address these factors to improve adolescent girls’ SRH.

Introduction Despite carrying a disproportionately high burden of depression, patients in low-income countries lack access to effective care. The collaborative care model (CoCM) has robust evidence for clinical effectiveness in improving mental health outcomes. However, evidence from real-world implementation of CoCM is necessary to inform its expansion in low-resource settings.Methods We conducted a 2-year mixed-methods study to assess the implementation and clinical impact of CoCM using the WHO Mental Health Gap Action Programme protocols in a primary care clinic in rural Nepal. We used the Capability Opportunity Motivation-Behaviour (COM-B) implementation research framework to adapt and study the intervention. To assess implementation factors, we qualitatively studied the impact on providers’ behaviour to screen, diagnose and treat mental illness. To assess clinical impact, we followed a cohort of 201 patients with moderate to severe depression and determined the proportion of patients who had a substantial clinical response (defined as ≥50% decrease from baseline scores of Patient Health Questionnaire (PHQ) to measure depression) by the end of the study period.Results Providers experienced improved capability (enhanced self-efficacy and knowledge), greater opportunity (via access to counsellors, psychiatrist, medications and diagnostic tests) and increased motivation (developing positive attitudes towards people with mental illness and seeing patients improve) to provide mental healthcare. We observed substantial clinical response in 99 (49%; 95% CI: 42% to 56%) of the 201 cohort patients, with a median seven point (Q1:−9, Q3:−2) decrease in PHQ-9 scores (p

Abstract Background Reducing the maternal mortality ratio to less than 70 per 100,000 live births globally is one of the Sustainable Development Goals. Approximately 830 women die from pregnancy- or childbirth-related complications every day. Almost 99% of these deaths occur in developing countries. Increasing antenatal care quality and completion, and institutional delivery are key strategies to reduce maternal mortality, however there are many implementation challenges in rural and resource-limited settings. In Nepal, 43% of deliveries do not take place in an institution and 31% of women have insufficient antenatal care. Context-specific and evidence-based strategies are needed to improve antenatal care completion and institutional birth. We present an assessment of effectiveness outcomes for an adaptation of a group antenatal care model delivered by community health workers and midwives in close collaboration with government staff in rural Nepal. Methods The study was conducted in Achham, Nepal, via a public private partnership between the Nepali non-profit, Nyaya Health Nepal, and the Ministry of Health and Population, with financial and technical assistance from the American non-profit, Possible. We implemented group antenatal care as a prospective non-randomized, cluster-controlled, type I hybrid effectiveness-implementation study in six village clusters. The implementation approach allowed for iterative improvement in design by making changes to improve the quality of the intervention. We evaluated effectiveness through a difference in difference analysis of institutional birth rates between groups prior to implementation of the intervention and 1 year after implementation. Additionally, we assessed the change in knowledge of key danger signs and the acceptability of the group model compared with individual visits in a nested cohort of women receiving home visit care and home visit care plus group antenatal care. Using a directed content and thematic approach, we analyzed qualitative interviews to identify major themes related to implementation. Results At baseline, there were 457 recently-delivered women in the six village clusters receiving home visit care and 214 in the seven village clusters receiving home visit care plus group antenatal care. At endline, there were 336 and 201, respectively. The difference in difference analysis did not show a significant change in institutional birth rates nor antenatal care visit completion rates between the groups. There was, however, a significant increase in both institutional birth and antenatal care completion in each group from baseline to endline. We enrolled a nested cohort of 52 participants receiving home visit care and 62 participants receiving home visit care plus group antenatal care. There was high acceptability of the group antenatal care intervention and home visit care, with no significant differences between groups. A significantly higher percentage of women who participated in group antenatal care found their visits to be ‘very enjoyable’ (83.9% vs 59.6%, p = 0.0056). In the nested cohort, knowledge of key danger signs during pregnancy significantly improved from baseline to endline in the intervention clusters only (2 to 31%, p

Abstract Background Traditional medical education in much of the world has historically relied on passive learning. Although active learning has been in the medical education literature for decades, its incorporation into practice has been inconsistent. We describe and analyze the implementation of a multidisciplinary continuing medical education curriculum in a rural Nepali district hospital, for which a core objective was an organizational shift towards active learning. Methods The intervention occurred in a district hospital in remote Nepal, staffed primarily by mid-level providers. Before the intervention, education sessions included traditional didactics. We conducted a mixed-methods needs assessment to determine the content and educational strategies for a revised curriculum. Our goal was to develop an effective, relevant, and acceptable curriculum, which could facilitate active learning. As part of the intervention, physicians acted as both learners and teachers by creating and delivering lectures. Presenters used lecture templates to prioritize clarity, relevance, and audience engagement, including discussion questions and clinical cases. Two 6-month curricular cycles were completed during the study period. Daily lecture evaluations assessed ease of understanding, relevance, clinical practice change, and participation. Periodic lecture audits recorded learner talk-time, the proportion of lecture time during which learners were talking, as a surrogate for active learning. Feedback from evaluation and audit results was provided to presenters, and pre- and post-curriculum knowledge assessment exams were conducted. Results Lecture audits showed a significant increase in learner talk-time, from 14% at baseline to 30% between months 3–6, maintained at 31% through months 6–12. Lecture evaluations demonstrated satisfaction with the curriculum. Pre- and post-curriculum knowledge assessment scores improved from 50 to 64% (difference 13.3% ± 4.5%, p = 0.006). As an outcome for the measure of organizational change, the curriculum was replicated at an additional clinical site. Conclusion We demonstrate that active learning can be facilitated by implementing a new educational strategy. Lecture audits proved useful for internal program improvement. The components of the intervention which are transferable to other rural settings include the use of learners as teachers, lecture templates, and provision of immediate feedback. This curricular model could be adapted to similar settings in Nepal, and globally.

Unmet need for postpartum contraception in rural Nepal remains high and expanding access to sexual and reproductive healthcare is essential to achieving universal healthcare. We evaluated the impact of an integrated intervention that employed community health workers aided by mobile technology to deliver patient-centred, home-based antenatal and postnatal counselling on postpartum modern contraceptive use. This was a pre–post-intervention study in seven village wards in a single municipality in rural Nepal. The primary outcome was modern contraceptive use among recently postpartum women. We performed a multivariable logistic regression to examine contraceptive use among postpartum women pre- and one-year post-intervention. We conducted qualitative interviews to explore the implementation process. There were 445 postpartum women in the pre-intervention group and 508 in the post-intervention group. Modern contraceptive use increased from 29% pre-intervention to 46% post-intervention (p

Abstract Background Evidence-based medicines, technologies, and protocols exist to prevent many of the annual 300,000 maternal, 2.7 million neonatal, and 9 million child deaths, but they are not being effectively implemented and utilized in rural areas. Nepal, one of South Asia’s poorest countries with over 80% of its population living in rural areas, exemplifies this challenge. Community health workers are an important cadre in low-income countries where human resources for health and health care infrastructure are limited. As local women, they are uniquely positioned to understand and successfully navigate barriers to health care access. Recent case studies of large community health worker programs have highlighted the importance of training, both initial and ongoing, and accountability through structured management, salaries, and ongoing monitoring and evaluation. A gap in the evidence regarding whether such community health worker systems can change health outcomes, as well as be sustainably adopted at scale, remains. In this study, we plan to evaluate a community health worker system delivering an evidence-based integrated reproductive, maternal, newborn, and child health intervention as it is scaled up in rural Nepal. Methods We will conduct a type 2 hybrid effectiveness-implementation study to test both the effect of an integrated reproductive, maternal, newborn, and child health intervention and the implementation process via a professional community health worker system. The intervention integrates five evidence-based approaches: (1) home-based antenatal care and post-natal care counseling and care coordination; (2) continuous surveillance of all reproductive age women, pregnancies, and children under age 2 years via a mobile application; (3) Community-Based Integrated Management of Newborn and Childhood Illness; (4) group antenatal and postnatal care; and 5) the Balanced Counseling Strategy to post-partum contraception. We will evaluate effectiveness using a pre-post quasi-experimental design with stepped implementation and implementation using the RE-AIM framework. Discussion This is the first hybrid effectiveness-implementation study of an integrated reproductive, maternal, newborn, and child health intervention in rural Nepal that we are aware of. As Nepal takes steps towards achieving the Sustainable Development Goals, the data from this three-year study will be useful in the detailed planning of a professionalized community health worker cadre delivering evidence-based reproductive, maternal, newborn, and child health interventions to the country’s rural population. Trial registration ClinicalTrials.gov Identifier: NCT03371186, registered 04 December 2017, retrospectively registered.

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.

Background Chronic obstructive pulmonary disease accounts for a significant portion of the world’s morbidity and mortality, and disproportionately affects low/middle-income countries. Chronic obstructive pulmonary disease management in low-resource settings is suboptimal with diagnostics, medications and high-quality, evidence-based care largely unavailable or unaffordable for most people. In early 2016, we aimed to improve the quality of chronic obstructive pulmonary disease management at Bayalpata Hospital in rural Achham, Nepal. Given that quality improvement infrastructure is limited in our setting, we also aimed to model the use of an electronic health record system for quality improvement, and to build local quality improvement capacity.Design Using international chronic obstructive pulmonary disease guidelines, the quality improvement team designed a locally adapted chronic obstructive pulmonary disease protocol which was subsequently converted into an electronic health record template. Over several Plan-Do-Study-Act cycles, the team rolled out a multifaceted intervention including educational sessions, reminders, as well as audits and feedback.Results The rate of oral corticosteroid prescriptions for acute exacerbations of chronic obstructive pulmonary disease increased from 14% at baseline to >60% by month 7, with the mean monthly rate maintained above this level for the remainder of the initiative. The process measure of chronic obstructive pulmonary disease template completion rate increased from 44% at baseline to >60% by month 2 and remained between 50% and 70% for the remainder of the initiative.Conclusion This case study demonstrates the feasibility of robust quality improvement programmes in rural settings and the essential role of capacity building in ensuring sustainability. It also highlights how individual quality improvement initiatives can catalyse systems-level improvements, which in turn create a stronger foundation for continuous quality improvement and healthcare system strengthening.

Background: Global health academic partnerships are centered around a core tension: they often mirror or reproduce the very cross-national inequities they seek to alleviate. On the one hand, they risk worsening power dynamics that perpetuate health disparities; on the other, they form an essential response to the need for healthcare resources to reach marginalized populations across the globe. Objectives: This study characterizes the broader landscape of global health academic partnerships, including challenges to developing ethical, equitable, and sustainable models. It then lays out guiding principles of the specific partnership approach, and considers how lessons learned might be applied in other resource-limited settings. Methods: The experience of a partnership between the Ministry of Health in Nepal, the non-profit healthcare provider Possible, and the Health Equity Action and Leadership Initiative at the University of California, San Francisco School of Medicine was reviewed. The quality and effectiveness of the partnership was assessed using the Tropical Health and Education Trust Principles of Partnership framework. Results: Various strategies can be taken by partnerships to better align the perspectives of patients and public sector providers with those of expatriate physicians. Actions can also be taken to bring greater equity to the wealth and power gaps inherent within global health academic partnerships. Conclusions: This study provides recommendations gleaned from the analysis, with an aim towards both future refinement of the partnership and broader applications of its lessons and principles. It specifically highlights the importance of targeted engagements with academic medical centers and the need for efficient organizational work-flow practices. It considers how to both prioritize national and host institution goals, and meet the career development needs of global health clinicians.

BACKGROUND:Surveillance systems are increasingly relying upon community-based or crowd-sourced data to complement traditional facilities-based data sources. Data collected by community health workers during the routine course of care could combine the early warning power of community-based data collection with the predictability and diagnostic regularity of facility data. These data could inform public health responses to epidemics and spatially-clustered endemic diseases. Here, we analyze data collected on a daily basis by community health workers during the routine course of clinical care in rural Nepal. We evaluate if such community-based surveillance systems can capture temporal trends in diarrheal diseases and acute respiratory infections. METHODS:During the course of their clinical activities from January to December 2013, community health workers recorded healthcare encounters using mobile phones. In parallel, we accessed condition-specific admissions from 2011-2013 in the hospital from which the community health program was based. We compared diarrhea and acute respiratory infection rates from both the hospital and the community, and assigned three categories of local disease activity (low, medium, and high) to each week in each village cluster with categories determined by tertiles. We compared condition-specific mean hospital rates across categories using ANOVA to assess concordance between hospital and community-collected data. RESULTS:There were 2,710 cases of diarrhea and 373 cases of acute respiratory infection reported by community health workers during the one-year study period. At the hospital, the average weekly incidence of diarrhea and acute respiratory infections over the three-year period was 1.8 and 3.9 cases respectively per 1,000 people in each village cluster. In the community, the average weekly rate of diarrhea and acute respiratory infections was 2.7 and 0.5 cases respectively per 1,000 people. Both diarrhea and acute respiratory infections exhibited significant differences between the three categories of disease rate burden (diarrhea p = 0.009, acute respiratory infection p = 0.001) when comparing community health worker-collected rates to hospital rates. CONCLUSION:Community-level data on diarrhea and acute respiratory infections modestly correlated with hospital data for the same condition in each village each week. Our experience suggests that community health worker-collected data on mobile phones may be a feasible adjunct to other community- and healthcare-related data sources for surveillance of such conditions. Such systems are vitally needed in resource-limited settings like rural Nepal.

Introduction: Diagnostic radiology services are severely lacking in many rural settings and the implementation of these services poses complex challenges. The purpose of this paper is to describe the implementation of diagnostic radiology services at a district-level hospital in Achham, a rural district in Nepal. Methods and Materials: We conducted a retrospective review of the implementation of diagnostic radiology services. We compiled a list of implementation challenges and proposed solutions based on an internal review of historical data, hospital records, and the experiences of hospital staff members. We used a seven-domain analytic framework to structure our discussion of these challenges. Results: We documented the first five years of challenges faced and lessons learned by the non-profit organization Possible while implementing and providing diagnostic radiology services for the first time in a remote location. Additionally, we documented the uptake of these services through the first five years of operations. During this time, the number of X-rays performed increased 271%, while ultrasounds increased 258%. The main challenges included educating the community about the appropriate use of these services, recruiting trained providers, and coordinating referral care and consultations for higher-level diagnostics and treatment. Finally, investments in training providers and technicians, as well as investments in infrastructure, primarily the installation of solar panels to maintain a power supply, were critical to sustaining services. Discussion: This experience demonstrates that reliable and sustained services can be deployed even in extremely remote areas and identifies challenges that other implementers may face in similar program implementation.

In this paper, we explain and quantify the causal effect of processing parameters and part-scale thermal history on the evolution of microstructure and mechanical properties in the laser powder bed fusion additive manufacturing of Stainless Steel 316L components. While previous works have correlated the processing parameters to flaw formation, microstructures evolved, and properties, a missing link is the understanding of the effect of thermal history. Accordingly, tensile test coupons were manufactured under varying processing conditions, and their microstructure-related attributes, e.g., grain morphology, size and texture; porosity; and microhardness were characterized. Additionally, the yield and tensile strengths of the samples were measured using digital image correlation. An experimentally validated computational model was used to predict the thermal history of each sample. The temperature gradients and sub-surface cooling rates ascertained from the model predictions were correlated with the experimentally characterized microstructure and mechanical properties. By elucidating the fundamental process-thermal-structure–property relationship, this work establishes the foundation for future physics-based prediction of microstructure and functional properties in laser powder bed fusion.

We developed and applied a novel approach for shape agnostic detection of multiscale flaws in laser powder bed fusion (LPBF) additive manufacturing using heterogenous in-situ sensor data. Flaws in LPBF range from porosity at the micro-scale (< 100 µm), layer related inconsistencies at the meso-scale (100 µm to 1 mm) and geometry-related flaws at the macroscale (> 1 mm). Existing data-driven models are primarily focused on detecting a specific type of LPBF flaw using signals from one type of sensor. Such approaches, which are trained on data from simple cuboid and cylindrical-shaped coupons, have met limited success when used for detecting multiscale flaws in complex LPBF parts. The objective of this work is to develop a heterogenous sensor data fusion approach capable of detecting multiscale flaws across different LPBF part geometries and build conditions. Accordingly, data from an infrared camera, spatter imaging camera, and optical powder bed imaging camera were acquired across separate builds with differing part geometries and orientations (Inconel 718). Spectral graph-based process signatures were extracted from this heterogeneous thermo-optical sensor data and used as inputs to simple machine learning models. The approach detected porosity, layer-level distortion, and geometry-related flaws with statistical fidelity exceeding 93% (F-score).

Recent investigations involving specimens for material and process qualification related to the Laser Powder Bed Fusion (L-PBF) additive manufacturing (AM) method, point that microstructural quality and surface properties vary significantly based on feedstock material and process parameters. There is currently the need, therefore, to create systematic ways to design specimens for process and material qualification. This manuscript provides an approach to evaluate the effects on the as-built quality based on specific metrics for specimens produced by L-PBF. Surface quality, as well as micro- and sub-microstructures and defects are related to specific aspects of the L-PBF process. To accomplish this goal, a digital engineering approach was first developed to design geometries based on process simulations to account for mechanical and thermal process effects. A parametric AM fabrication plan was then chosen to produce statistically significant populations of AM parts. Moreover, on axis, melt-pool scale, in-situ monitoring data, collected during the AM process, was examined in conjunction with the formation of flaws. X-ray micro-computer tomography analysis was additionally used to characterize porosity levels. Finally, scanning electron microscopy (SEM) and electron back-scatter diffraction (EBSD), as well as surface profilometry were combined to correlate specific process parameters and conditions with microstructural and surface effects.

In this work, we accomplished the crack-free directed energy deposition (DED) of a multi-layer Cobalt-Chromium alloy coating (Stellite 21) on Inconel 718 substrate. Stellite alloys are used as coating materials given their resistance to wear, corrosion, and high temperature. The main challenge in DED of Stellite coatings is the proclivity for crack formation during printing. The objective of this work is to characterize the effect of the input energy density and localized laser-based preheating on the characteristics of the deposited coating, namely, crack formation, microstructural evolution, dilution of the coating composition due to diffusion of iron and nickel from the substrate, and microhardness. It is observed that cracking is alleviated on preheating the substrate and depositing the coating at a moderate energy density (~200 J·mm−3). The main finding is that cracking of DED-processed Stellite 21 coating at higher levels of energy density is linked to the elemental segregation of chromium and molybdenum, which form hard and brittle phases in the inter-dendritic regions. Cracking in the inter-dendritic regions is caused by residual stresses resulting from the steep thermal gradients at higher input energy. Localized laser-based preheating and moderate energy density mitigate steep temperature gradients and thereby avoid thermally induced cracking of the Stellite coating along the inter-dendritic regions.