Online team-based electrocardiogram training in Haiti: evidence from the field.

BACKGROUND: The electrocardiogram (ECG) is the most relied upon tool for cardiovascular diagnosis, especially in low-resource settings because of its low cost and straightforward usability. It is imperative that internal medicine (IM) and emergency medicine (EM) specialists are competent in ECG interpretation. Our study was designed to improve proficiency in ECG interpretation through a competition among IM and EM residents at a teaching hospital in rural central Haiti in which over 40% of all admissions are due to CVD. METHODOLOGY: The 33 participants included 17 EM residents and 16 IM residents from each residency year at the Hôpital Universitaire de Mirebalais (HUM). Residents were divided into 11 groups of 3 participants with a representative from each residency year and were given team-based online ECG quizzes to complete weekly. The format included 56 ECG cases distributed over 11 weeks, and each case had a pre-specified number of points based on abnormal findings and complexity. All ECG cases represented cardiovascular pathology in Haiti adapted from the Association of Program Directors in Internal Medicine evaluation list. The main intervention was sharing group performance and ECG solutions to all participants each week to promote competition and self-study without specific feedback or discussion by experts. To assess impact, pre- and post-intervention assessments measuring content knowledge and comfort for each participant were performed. RESULTS: Overall group participation was heterogeneous with groups participating a median of 54.5% of the weeks (range 0-100%). 22 residents completed the pre- and post-test assessments. The mean pre- and post-intervention assessment knowledge scores improved from 27.3% to 41.7% (p = 0.004). 70% of participants improved their test scores. The proportion of participants who reported comfort with ECG interpretation increased from 57.6% to 66.7% (p = 0.015). CONCLUSION: This study demonstrates improvement in ECG interpretation through a team-based, asynchronous ECG competition approach. This method is easily scalable and could help to fill gaps in ECG learning. This approach can be delivered to other hospitals both in and outside Haiti. Further adaptations are needed to improve weekly group participation.

Does distance from a clinic and poverty impact visit adherence for noncommunicable diseases? A retrospective cohort study using electronic medical records in rural Haiti.

BACKGROUND: Adherence to regular outpatient visits is vital to managing noncommunicable diseases (NCDs), a growing burden in low and middle-income countries. We characterized visit adherence among patients with NCDs in rural Haiti, hypothesizing higher poverty and distance from the clinic were associated with lower adherence. METHODS: We analyzed electronic medical records from a cohort of adults in an NCD clinic in Mirebalais, Haiti (April 2013 to June 2016). Visit adherence was: 1) visit constancy (≥1 visit every 3 months), 2) no gaps in care (> 60 days between visits), 3) ≥1 visit in the last quarter, and 4) ≥6 visits per year. We incorporated an adapted measure of intensity of multidimensional poverty. We calculated distance from clinic as Euclidean distance or self-reported transit time. We used multivariable logistic regressions to assess the association between poverty, distance, and visit adherence. RESULTS: We included 463 adult patients, mean age 57.8 years (SE 2.2), and 72.4% women. Over half of patients had at least one visit per quarter (58.1%), but a minority (19.6%) had no gaps between visits. Seventy percent of patients had a visit in the last quarter, and 73.9% made at least 6 visits per year. Only 9.9% of patients met all adherence criteria. In regression models, poverty was not associated with any adherence measures, and distance was only associated with visit in the last quarter (OR 0.87, 95% CI [0.78 to 0.98], p = 0.03) after adjusting for age, sex, and hardship financing. CONCLUSIONS: Visit adherence was low in this sample of adult patients presenting to a NCD Clinic in Haiti. Multidimensional poverty and distance from clinic were not associated with visit adherence measures among patients seen in the clinic, except for visit in the last quarter. Future research should focus on identifying and addressing barriers to visit adherence.

Protocol for an evaluation of the initiation of an integrated longitudinal outpatient care model for severe chronic non-communicable diseases (PEN-Plus) at secondary care facilities (district hospitals) in 10 lower-income countries.

INTRODUCTION: The Package of Essential Noncommunicable Disease Interventions-Plus (PEN-Plus) is a strategy decentralising care for severe non-communicable diseases (NCDs) including type 1 diabetes, rheumatic heart disease and sickle cell disease, to increase access to care. In the PEN-Plus model, mid-level clinicians in intermediary facilities in low and lower middle income countries are trained to provide integrated care for conditions where services traditionally were only available at tertiary referral facilities. For the upcoming phase of activities, 18 first-level hospitals in 9 countries and 1 state in India were selected for PEN-Plus expansion and will treat a variety of severe NCDs. Over 3 years, the countries and state are expected to: (1) establish PEN-Plus clinics in one or two district hospitals, (2) support these clinics to mature into training sites in preparation for national or state-level scale-up, and (3) work with the national or state-level stakeholders to describe, measure and advocate for PEN-Plus to support development of a national operational plan for scale-up. METHODS AND ANALYSIS: Guided by Proctor outcomes for implementation research, we are conducting a mixed-method evaluation consisting of 10 components to understand outcomes in clinical implementation, training and policy development. Data will be collected through a mix of quantitative surveys, routine reporting, routine clinical data and qualitative interviews. ETHICS AND DISSEMINATION: This protocol has been considered exempt or covered by central and local institutional review boards. Findings will be disseminated throughout the project's course, including through quarterly M&E discussions, semiannual formative assessments, dashboard mapping of progress, quarterly newsletters, regular feedback loops with national stakeholders and publication in peer-reviewed journals.

Health system capacity to manage diabetic ketoacidosis in nine low-income and lower-middle income countries: A cross-sectional analysis of nationally representative survey data.

Background: There has been increasing awareness about the importance of type 1 diabetes (T1D) globally. Diabetic ketoacidosis (DKA) is a life-threatening complication of T1D in low-income settings. Little is known about health system capacity to manage DKA in low- and lower-middle income countries (LLMICs). As such, we describe health system capacity to diagnose and manage DKA across nine LLMICs using data from Service Provision Assessments. Methods: In this cross-sectional study, we used data from Service Provision Assessment (SPA) surveys, which are part of the Demographic and Health Survey (DHS) Program. We defined an item set to diagnose and manage DKA in higher-level (tertiary or secondary) facilities, and a set to assess and refer patients presenting to lower-level (primary) facilities. We quantified each item's availability by service level in Bangladesh (Survey 1: May 22 2014-Jul 20 2014; Survey 2: Jul 2017-Oct 2017), the Democratic Republic of the Congo (DRC) (Oct 16 2017-Nov 24 2017 in Kinshasha; Aug 08 2018-Apr 20 2018 in rest of country), Haiti (Survey 1: Mar 05 2013-Jul 2013; Survey 2: Dec 16 2017-May 09 2018), Ethiopia (Feb 06 2014-Mar 09 2014), Malawi (Phase 1: Jun 11 2013-Aug 20 2013; Phase 2: Nov 13 2013-Feb 7 2014), Nepal (Phase 1: Apr 20 2015-Apr 25 2015; Phase 2: Jun 04 2015-Nov 05 2015), Senegal (Survey 1: Jan 2014-Oct 2014; Survey 2: Feb 09 2015-Nov 10 2015; Survey 3: Feb 2016-Nov 2016; Survey 4: Mar 13 2017-Dec 15 2017; Survey 5: Apr 15 2018-Dec 31 2018; Survey 6: Apr 15 2019-Feb 28 2020), Tanzania (Oct 20 2014-Feb 21 2015), and Afghanistan (Nov 1 2018-Jan 20 2019). Variation in secondary facilities' capacity and trends over time were also explored. Findings: We examined data from 2028 higher-level and 7534 lower-level facilities. Of these, 1874 higher-level and 6636 lower-level facilities' data were eligible for analysis. Availability of all item sets were low at higher-level facilities, where less than 50% had the minimal set of supplies, less than 20% had the full minimal set, and less than 15% had the ideal set needed to diagnose and manage DKA. Across countries in lower-level facilities, less than 14% had the minimal set of supplies and less than 9% the full set of supplies for diagnosis and transfer of DKA patients. No country had more than 20% of facilities with the minimal set of items needed to assess or manage DKA. Where data were available for more than one survey (Bangladesh, Senegal, and Haiti), changes in availability of the minimal set and ideal set of items did not exceed 15%. Tertiary facilities performed best in Haiti, Ethiopia, Malawi, Nepal, Senegal, Tanzania, and Afghanistan. Secondary facilities that were rural, public, and had fewer staff had lower capacity. Interpretation: Health system capacity to manage DKA was low across these nine LLMICs. Although efforts are underway to strengthen health systems, a specific focus on DKA management is still needed. Funding: Leona M. and Harry B. Helmsley Charitable Trust, and Juvenile Diabetes Research Foundation Ltd.

Cardiovascular Health in a Single Community in Rural Haiti: A Cross-sectional Study.

INTRODUCTION: There is a growing burden of cardiovascular disease in low- and middle-income countries and assessment of cardiovascular health (CVH) may identify populations at risk for poor CVH. METHODS: Between July 2014 and August 2014, we performed a household survey from a convenience sample among adult community members in rural northern Haiti. We used a modified World Health Organization STEPwise approach to chronic disease questionnaire to capture self-reported data on tobacco, diet, physical activity, and diabetes, and measured blood pressure and body mass index. We used an adapted American Heart Association definition and thresholds for determining ideal, intermediate, and poor cardiovascular health. We used linear and logistic regression to examine associations between socio-demographic characteristics with CVH score and ideal CVH. RESULTS: Among 540 participants (mean [SD] age = 40.3 [17.1] years, 67% women), there was a high prevalence of poor CVH (n=476, 88.1%) compared with intermediate (n=56, 10.4%) and ideal (n=41, 7.6%) CVH. Ideal metrics for blood pressure (47%) and diet (26%) were least often met, while body weight (84%), physical activity (83%), and smoking (90%) were most often met. Men were associated with better CVH score (0.31, [0.04-0.59]; P=0.03), and being a farmer was associated with ideal CVH (P=0.006). CONCLUSION: In this community-based sample of a farming community in rural Haiti, very few adults had ideal CVH. Higher CVH score was associated with male sex, and farming as a primary occupation. Women and non-farmers may represent at-risk subgroups within this population. Blood pressure and diet may represent possible areas for improvement.

Development of an Innovative Digital Data Collection System for Routine Mental Health Care Delivery in Rural Haiti.

INTRODUCTION: Effective digital health management information systems (HMIS) support health data validity, which enables health care teams to make programmatic decisions and country-level decision making in support of international development targets. In 2015, mental health was included within the Sustainable Development Goals, yet there are few applications of HMIS of any type in the practice of mental health care in resource-limited settings. Zanmi Lasante (ZL), one of the largest providers of mental health care in Haiti, developed a digital data collection system for mental health across 11 public rural health facilities. PROGRAM INTERVENTION: We describe the development, implementation, and evaluation of the digital system for mental health data collection at ZL. To evaluate system reliability, we assessed the number of missing monthly reports. To evaluate data validity, we calculated concordance between the digital system and paper charts at 2 facilities. To evaluate the system's ability to inform decision making, we specified and then calculated 4 priority indicators. RESULTS: The digital system was missing 5 of 143 monthly reports across all facilities and had 74.3% (55/74) and 98% (49/50) concordance with paper charts. It was possible to calculate all 4 indicators, which led to programmatic changes in 2 cases. In response to implementation challenges, it was necessary to use strategies to increase provider buy-in and ultimately to introduce dedicated data clerks to keep pace with data collection and protect time for clinical work. LESSONS LEARNED: While demonstrating the potential of collecting mental health data digitally in a low-resource rural setting, we found that it was necessary to consider the ongoing roles of paper records alongside digital data collection. We also identified the challenge of balancing clinical and data collection responsibilities among a limited staff. Ongoing work is needed to develop truly sustainable and scalable models for mental health data collection in resource-limited settings.

High Poverty and Hardship Financing Among Patients with Noncommunicable Diseases in Rural Haiti.

Background: Poverty is a major barrier to healthcare access in low-income countries. The degree of equitable access for noncommunicable disease (NCD) patients is not known in rural Haiti. Objectives: We evaluated the poverty distribution among patients receiving care in an NCD clinic in rural Haiti compared with the community and assessed associations of poverty with sex and distance from the health facility. Methods: We performed a cross-sectional study of patients with NCDs attending a public-sector health center in rural Haiti 2013-2016, and compared poverty among patients with poverty among a weighted community sample from the Haiti 2012 Demographic and Health Survey. We adapted the multidimensional poverty index: people deprived ≥44% of indicators are among the poorest billion people worldwide. We assessed hardship financing: borrowing money or selling belongings to pay for healthcare. We examined the association between facility distance and poverty adjusted for age and sex using linear regression. Results: Of 379 adults, 72% were women and the mean age was 52.5 years. 17.7% had hypertension, 19.3% had diabetes, 3.1% had heart failure, and 33.8% had multiple conditions. Among patients with available data, 197/296 (66.6%) experienced hardship financing. The proportions of people who are among the poorest billion people for women and men were similar (23.3% vs. 20.3%, p > 0.05). Fewer of the clinic patients were among the poorest billion people compared with the community (22.4% vs. 63.1%, p < 0.001). Patients who were most poor were more likely to live closer to the clinic (p = 0.002). Conclusion: Among patients with NCD conditions in rural Haiti, poverty and hardship financing are highly prevalent. However, clinic patients were less poor compared with the community population. These data suggest barriers to care access particularly affect the poorest. Socioeconomic data must be collected at health facilities and during community-level surveillance studies to monitor equitable healthcare access. Highlights: Poverty and hardship financing are highly prevalent among NCD patients in rural Haiti.Patients attending clinic are less poor than expected from the community.People travelling farther to clinic are less poor.Socioeconomic data should be collected to monitor healthcare access equity.

Availability of equipment and medications for non-communicable diseases and injuries at public first-referral level hospitals: a cross-sectional analysis of service provision assessments in eight low-income countries.

CONTEXT AND OBJECTIVES: Non-communicable diseases and injuries (NCDIs) comprise a large share of mortality and morbidity in low-income countries (LICs), many of which occur earlier in life and with greater severity than in higher income settings. Our objective was to assess availability of essential equipment and medications required for a broad range of acute and chronic NCDI conditions. DESIGN: Secondary analysis of existing cross-sectional survey data. SETTING: We used data from Service Provision Assessment surveys in Bangladesh, the Democratic Republic of the Congo, Ethiopia, Haiti, Malawi, Nepal, Senegal and Tanzania, focusing on public first-referral level hospitals in each country. OUTCOME MEASURES: We defined sets of equipment and medications required for diagnosis and management of four acute and nine chronic NCDI conditions and determined availability of these items at the health facilities. RESULTS: Overall, 797 hospitals were included. Medication and equipment availability was highest for acute epilepsy (country estimates ranging from 40% to 95%) and stage 1-2 hypertension (28%-83%). Availability was low for type 1 diabetes (1%-70%), type 2 diabetes (3%-57%), asthma (0%-7%) and acute presentations of diabetes (0%-26%) and asthma (0%-4%). Few hospitals had equipment or medications for heart failure (0%-32%), rheumatic heart disease (0%-23%), hypertensive emergencies (0%-64%) or acute minor surgical conditions (0%-5%). Data for chronic pain were limited to only two countries. Availability of essential medications and equipment was lower than previous facility-reported service availability. CONCLUSIONS: Our findings demonstrate low availability of essential equipment and medications for diverse NCDIs at first-referral level hospitals in eight LICs. There is a need for decentralisation and integration of NCDI services in existing care platforms and improved assessment and monitoring to fully achieve universal health coverage.