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Costing Analysis of a Pilot Community Health Worker Program in Rural Nepal.

ABSTRACT: Community health workers (CHWs) are essential to primary health care systems and are a cost-effective strategy to achieve the Sustainable Development Goals (SDGs). Nepal is strongly committed to universal health coverage and the SDGs. In 2017, the Nepal Ministry of Health and Population partnered with the nongovernmental organization Nyaya Health Nepal to pilot a program aligned with the 2018 World Health Organization guidelines for CHWs. The program includes CHWs who: (1) receive regular financial compensation; (2) meet a minimum education level; (3) are well supervised; (4) are continuously trained; (5) are integrated into local primary health care systems; (6) use mobile health tools; (7) have consistent supply chain; (8) live in the communities they serve; and (9) provide service without point-of-care user fees. The pilot model has previously demonstrated improved institutional birth rate, antenatal care completion, and postpartum contraception utilization. Here, we performed a retrospective costing analysis from July 16, 2017 to July 15, 2018, in a catchment area population of 60,000. The average per capita annual cost is US$3.05 (range: US$1.94 to US$4.70 across 24 villages) of which 74% is personnel cost. Service delivery and administrative costs and per beneficiary costs for all services are also described. To address the current discourse among Nepali policy makers at the local and federal levels, we also present 3 alternative implementation scenarios that policy makers may consider. Given the Government of Nepal's commitment to increase health care spending (US$51.00 per capita) to 7.0% of the 2030 gross domestic product, paired with recent health care systems decentralization leading to expanded fiscal space in municipalities, this CHW program provides a feasible opportunity to make progress toward achieving universal health coverage and the health-related SDGs. This costing analysis offers insights and practical considerations for policy makers and locally elected officials for deploying a CHW cadre as a mechanism to achieve the SDG targets.

SUBMITTER: Nepal P

PROVIDER: S-EPMC7326517 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Costing Analysis of a Pilot Community Health Worker Program in Rural Nepal.

Nepal Prajwol P Schwarz Ryan R Citrin David D Thapa Aradhana A Acharya Bibhav B Acharya Yubraj Y Aryal Anu A Baum Aaron A Bhandari Ved V Bhatt Laxman L Bhattarai Dipak D Choudhury Nandini N Dangal Binod B Dhimal Meghnath M Dhungana Santosh Kumar SK Gauchan Bikash B Halliday Scott S Kalaunee S P SP Kunwar Lal Bahadur LB Maru Duncan D Nirola Isha I Paudel Rashmi R Raut Anant A Rayamazi Hari Jung HJ Sapkota Sabitri S Schwarz Dan D Thapa Poshan P Thapa Pratistha P Tiwari Aparna A Tuitui Roshani R Walter Eric E Maru Sheela S

Global health, science and practice 20200630 2

Community health workers (CHWs) are essential to primary health care systems and are a cost-effective strategy to achieve the Sustainable Development Goals (SDGs). Nepal is strongly committed to universal health coverage and the SDGs. In 2017, the Nepal Ministry of Health and Population partnered with the nongovernmental organization Nyaya Health Nepal to pilot a program aligned with the 2018 World Health Organization guidelines for CHWs. The program includes CHWs who: (1) receive regular financ ...[more]

PMID: 32606093

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Project description:BackgroundIn Mali, community health workers (CHWs) deliver essential community care (ECC) to rural populations. The dominance of external funding for the program threatens the sustainability of this critical workforce as donor financing decreases. This article summarizes results of analyses aimed at assisting Mali's decision makers and leaders in initiating a transition to a sustainable CHW program supported by domestic funding through strategic and rational investment.MethodsData on ECC implementation norms, workforce, coverage, utilization, cost, and geospatial features were collected between 2016 and 2019. The data informed interlinked CHW financing analyses-situational, services costing, efficiency, and geospatial mapping. Analysis showed distribution of reported expenditures, estimates of required CHW funding, cost-saving options, and spatially visualized discrepancies between spending estimates and normative costs.ResultsThirteen financing sources contributed to CHW program expenditures, 88% of which were from international donors, for a package of 23 curative, preventive, and promotive interventions. In 2015, the CHW program spent US$13.01 million; an estimated US$8.36 million would have been needed to achieve the same service volume under standard care protocols. Medicines and start-up training had US$6.88 million more than needed; supervision, program management, and recurrent training components were underfunded by US$2.2 million. Cost-saving opportunities of US$6.16 million were identified in 41 of 44 districts. Funding reallocation opportunities (after meeting technical efficiency requirements) were identified in 20 of 44 districts (US$2.56 million). Use of geospatial targeting and mapping suggests district- and village-level reallocation options for theoretical funding surpluses.ConclusionCHW costs can be significantly reduced without sacrificing service technical quality. Spending can be geographically targeted to optimize service use by rural populations. Efficiency analyses provide evidence to build stronger engagement, support improved decision making, efficiently prioritize resources, and target investments for sustainable financing of CHW programs.

Project description: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.

Project description:OBJECTIVES:There is emerging interest and data supporting the effectiveness of community health workers (CHWs) in non-communicable diseases (NCDs) in low/middle-income countries (LMICs). This study aimed to determine whether a CHW-led intervention targeting diabetes and hypertension could improve markers of clinical disease control in rural Mexico. DESIGN AND SETTING:A prospective observational stepped-wedge study was conducted across seven communities in rural Chiapas, Mexico from March 2014 to April 2018. PARTICIPANTS:149 adults with hypertension and/or diabetes. INTERVENTION:This study was conducted in the context of the programmatic roll-out of an accompaniment-based CHW-led intervention designed to complement comprehensive primary care for adults with diabetes and/or hypertension. Implementation occurred sequentially at 3-month intervals with point-of-care data collected at baseline and every 3?months thereafter for 12 months following roll-out in all communities. OUTCOME MEASURES:Primary outcomes were glycated haemoglobin (HbA1c) and systolic blood pressure (SBP), overall and stratified by baseline disease control. We conducted an individual-level analysis using mixed effects regression, adjusting for time, cohort and clustering at the individual and community levels. RESULTS:Among patients with diabetes, the CHW-led intervention was associated with a decrease in HbA1c of 0.35%; however, CIs were wide (95%?CI -0.90% to 0.20%). In patients with hypertension, there was a 4.7?mm Hg decrease in SBP (95%?CI -8.9 to -0.6). In diabetic patients with HbA1c ?9%, HbA1c decreased by 0.96% (95% CI -1.69% to -0.23%), and in patients with uncontrolled hypertension, SBP decreased by 10.2?mm Hg (95%?CI -17.7 to -2.8). CONCLUSIONS:We found that a CHW-led intervention resulted in clinically meaningful improvement in disease markers for patients with diabetes and hypertension, most apparent among patients with hypertension and patients with uncontrolled disease at baseline. These findings suggest that CHWs can play a valuable role in supporting NCD management in LMICs. TRIAL REGISTRATION NUMBER:NCT02549495.

Project description:In India, the hypertensive disorders of pregnancy and postpartum haemorrhage are responsible for nearly 40 % of all maternal deaths. Most of these deaths occur in primary health settings which frequently lack essential equipment and medication, are understaffed, and have limited or no access to specialist care. Community health care workers are regarded as essential providers of basic maternity care; and the quality of care they provide is dependent on the level of knowledge and skills they possess. However, there is limited research regarding their ability to manage pregnancy complications. This study aims to describe the current state of knowledge regarding pre-eclampsia and eclampsia among community health care workers (auxiliary nurse midwives, accredited social health activists, staff nurses) in northern Karnataka, India. Furthermore, this study describes the treatment approaches used by various cadres of community health workers for these conditions. The findings of this study can help plan focussed training sessions to build upon their strengths and to address the identified gaps.Data were collected as part of a larger study aimed at assessing the feasibility of community-based treatment for pre-eclampsia. Eight focus group discussions were conducted in 2012-2013 in northern Karnataka State: four with staff nurses and auxiliary nurse midwives and four with accredited social health activists. In addition, twelve auxiliary nurse midwives and staff nurses completed questionnaires to explore their competence and self-efficacy in managing pre-eclampsia. Qualitative data were audio-recorded, transcribed verbatim and translated for thematic analysis using NVivo 10.Community health workers described their understanding of the origins of hypertension and seizures in pregnancy. Psychological explanations of hypertension were most commonly reported: stress, tension, and fear. The most common explanation for eclampsia was not receiving a tetanus vaccination. Despite some common misperceptions regarding aetiology, these community health workers demonstrated a good grasp of the potential consequences of hypertension in pregnancy. According to auxiliary nurse midwives and staff nurses, if hypertension was detected they encouraged rest, decreased salt intake, iron supplementation and tetanus vaccination. In addition, some staff nurses administered antihypertensives, MgSO4, or other anticonvulsants. All auxiliary nurse midwives had some awareness of MgSO4, but none had administered it themselves.This study showed that knowledge regarding the aetiology of pre-eclampsia was limited. Nevertheless, their basic knowledge and skills could be strengthened to more effectively manage the hypertensive disorders of pregnancy in their communities.NCT01911494.

Project description:BackgroundMaternal and neonatal health outcomes in low- and middle-income countries (LMICs) have improved over the last two decades. However, many pregnant women still deliver at home, which increases the health risks for both the mother and the child. Community health worker programs have been broadly employed in LMICs to connect women to antenatal care and delivery locations. More recently, employment of digital tools in maternal health programs have resulted in better care delivery and served as a routine mode of data collection. Despite the availability of rich, patient-level data within these digital tools, there has been limited utilization of this type of data to inform program delivery in LMICs.MethodsWe use program data from 38,787 women enrolled in Safer Deliveries, a community health worker program in Zanzibar, to build a generalizable prediction model that accurately predicts whether a newly enrolled pregnant woman will deliver in a health facility. We use information collected during the enrollment visit, including demographic data, health characteristics and current pregnancy information. We apply four machine learning methods: logistic regression, LASSO regularized logistic regression, random forest and an artificial neural network; and three sampling techniques to address the imbalanced data: undersampling of facility deliveries, oversampling of home deliveries and addition of synthetic home deliveries using SMOTE.ResultsOur models correctly predicted the delivery location for 68%-77% of the women in the test set, with slightly higher accuracy when predicting facility delivery versus home delivery. A random forest model with a balanced training set created using undersampling of existing facility deliveries accurately identified 74.4% of women delivering at home.ConclusionsThis model can provide a "real-time" prediction of the delivery location for new maternal health program enrollees and may enable early provision of extra support for individuals at risk of not delivering in a health facility, which has potential to improve health outcomes for both mothers and their newborns. The framework presented here is applicable in other contexts and the selection of input features can easily be adapted to match data availability and other outcomes, both within and beyond maternal health.

Project description:BACKGROUND:Increased coverage of antenatal care and facility births might not improve maternal and newborn health outcomes if quality of care is sub-optimal. Our study aimed to assess the facility readiness and health worker knowledge required to provide quality maternal and newborn care. METHODS:Using an audit tool and interviews, respectively, facility readiness and health providers' knowledge of maternal and immediate newborn care were assessed at all 23 birthing centers (BCs) and the District hospital in the rural southern Nepal district of Sarlahi. Facility readiness to perform specific functions was assessed through descriptive analysis and comparisons by facility type (health post (HP), primary health care center (PHCC), private and District hospital). Knowledge was compared by facility type and by additional skilled birth attendant (SBA) training. RESULTS:Infection prevention items were lacking in more than one quarter of facilities, and widespread shortages of iron/folic acid tablets, injectable ampicillin/gentamicin, and magnesium sulfate were a major barrier to facility readiness. While parenteral oxytocin was commonly provided, only the District hospital was prepared to perform all seven basic emergency obstetric and newborn care signal functions. The required number of medical doctors, nurses and midwives were present in only 1 of 5 PHCCs. Private sector SBAs had significantly lower knowledge of active management of third stage of labor and correct diagnosis of severe pre-eclampsia. While half of the health workers had received the mandated additional two-month SBA training, comparison with the non-trained group showed no significant difference in knowledge indicators. CONCLUSIONS:Facility readiness to provide quality maternal and newborn care is low in this rural area of Nepal. Addressing the gaps by facility type through regular monitoring, improving staffing and supply chains, supervision and refresher trainings is important to improve quality.

Project description:Introduction: PIERS on the Move (POM) is a mobile health (mHealth) application developed for a smartphone to support community health workers (CHWs) for identification and management of women at risk of adverse outcomes from pre-eclampsia. POM was implemented as an addition to routine antenatal care by accredited social health activists (ASHAs) and auxiliary nurse midwives (ANMs) during the community level intervention for pre-eclampsia (CLIP) Trial in Karnataka state, India (NCT01911494). The objective of this study was to evaluate the experiences of CHWs of using POM in rural India and their perceptions of acceptability and feasibility of this mHealth intervention. Methods: A posttrial mixed-methods evaluation was designed to measure CHW knowledge and self-efficacy regarding the care of women with pre-eclampsia and perceptions of CHWs on the ease of use and usefulness of POM. A structured survey with open-ended questions was conducted between October and November 2017. The median values on a 5-point Likert scale for knowledge and self-efficacy questions were compared between trial arms by Mann-Whitney U test (p < 0.05 significant). Qualitative analysis was undertaken on NVivo 12 (QSR International, Melbourne, Australia). Results: A total of 48 ASHAs and ANMs were interviewed, including 24 who used POM (intervention arm) and 24 who did not (control arm). Self-reported knowledge and self-efficacy for the care of women with pre-eclampsia did not differ between groups. The qualitative analysis highlighted that health workers who used POM reported improved interactions with women and families in their communities. POM strengthened the role of ASHA as a CHW beyond a "link-worker" accompanying women to health services. With training, the mHealth application was easy to use even for CHWs who did not have much experience with smartphones. Conclusions: Community health workers found the POM app easy to use, useful, and well-received by women and their families. POM did not improve care through increased knowledge but built capacity by increasing the recognition of the ASHA and ANM as critical members of the continuum of antenatal healthcare within their communities. These findings support the important role that mHealth technologies can play in strengthening health systems to reach rural, remote, and marginalized populations to reduce disparities in health.

Dataset Information

Costing Analysis of a Pilot Community Health Worker Program in Rural Nepal.

Publications

Costing Analysis of a Pilot Community Health Worker Program in Rural Nepal.

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