A conceptual framework for measuring community health workforce performance within primary health care systems.

BACKGROUND: With the 40th anniversary of the Declaration of Alma-Ata, a global effort is underway to re-focus on strengthening primary health care systems, with emphasis on leveraging community health workers (CHWs) towards the goal of achieving universal health coverage for all. Institutionalizing effective, sustainable community health systems is currently limited by a lack of standard metrics for measuring CHW performance and the systems they work within. Developed through iterative consultations, supported by the Bill & Melinda Gates Foundation and in partnership with USAID and UNICEF, this paper details a framework, list of indicators, and measurement considerations for monitoring CHW performance in low- and middle-income countries. METHODS: A review of peer-reviewed articles, reports, and global data collection tools was conducted to identify key measurement domains in monitoring CHW performance. Three consultations were successively convened with global stakeholders, community health implementers, advocates, measurement experts, and Ministry of Health representatives using a modified Delphi approach to build consensus on priority indicators. During this process, a structured, web-based survey was administered to identify the importance and value of specific measurement domains, sub-domains, and indicators determined through the literature reviews and initial stakeholder consultations. Indicators with more than 75% support from participants were further refined with expert qualitative input. RESULTS: Twenty-one sub-domains for measurement were identified including measurement of incentives for CHWs, supervision and performance appraisal, data use, data reporting, service delivery, quality of services, CHW absenteeism and attrition, community use of services, experience of services, referral/counter-referral, credibility/trust, and programmatic costs. Forty-six indicators were agreed upon to measure the sub-domains. In the absence of complete population enumeration and digitized health information systems, the quality of metrics to monitor CHW programs is limited. CONCLUSIONS: Better data collection approaches at the community level are needed to strengthen management of CHW programs and community health systems. The proposed list of metrics balances exhaustive and pragmatic measurement of CHW performance within primary healthcare systems. Adoption of the proposed framework and associated indicators by CHW program implementors may improve programmatic effectiveness, strengthen their accountability to national community health systems, drive programmatic quality improvement, and plausibly improve the impact of these programs.

Understanding Factors That Support Community Health Worker Motivation, Job Satisfaction, and Performance in Three Ugandan Districts: Opportunities for Strengthening Uganda's Community Health Worker Program.

BACKGROUND: Uganda's community health worker (CHW) program experiences several challenges related to the appropriate motivation, job satisfaction, and performance of the CHW workforce. This study aims to identify barriers in the effective implementation of financial and non-financial incentives to support CHWs and to strengthen Uganda's CHW program. METHODS: The study was implemented in Uganda's Lira, Wakiso, and Mayuge districts in May 2019. Ten focus group discussions (FGDs) were held with 91 CHWs, 17 in-depth interviews (IDIs) were held with CHW supervisors, and 7 IDIs were held with policy-level stakeholders. Participants included stakeholders from both the Ugandan government and non-governmental organizations (NGOs). Utilizing a thematic approach, themes around motivation, job satisfaction, incentive preferences, and CHW relationships with the community, healthcare facilities, and government were analyzed. RESULTS: CHWs identified a range of factors that contributed to their motivation or demotivation. Non-monetary factors included recognition from the health system and community, access to transportation, methods for identification as a healthcare worker, provision of working tools, and training opportunities. Monetary factors included access to monthly stipends, transportation-related refunds, and timely payment systems to reduce refund delays to CHWs. Additionally, CHWs indicated wanting to be considered for recruitment into the now-halted rollout of a salaried CHW cadre, given the provision of payment. CONCLUSION: It is imperative to consider how to best support the current CHW program prior to the introduction of new cadres, as it can serve to exacerbate tensions between cadres and further undermine provision of community health. Providing a harmonized, balanced, and uniform combination of both monetary incentives with non-monetary incentives is vital for effective CHW programs.

Understanding community health worker incentive preferences in Uganda using a discrete choice experiment.

BACKGROUND: Community health workers (CHWs) play a critical role in supporting health systems, and in improving the availability and accessibility to health care. However, CHW programs globally continue to face challenges with poor performance and high levels of CHW attrition. CHW programs are often underfunded and poorly planned, which can lead to loss of motivation by CHWs. The study aims to determine preferences of CHWs for job incentives with the goal of furthering their motivation and success. METHODS: Relevant incentive attributes were identified through focus group discussions and in-depth interviews with CHWs, non-governmental organization CHWs, CHW supervisors, and policy-level stakeholders. Based on seven attributes (eg, training, workload, stipend) we developed a discrete choice experiment (DCE) that was administered to 399 CHWs across eight districts in Uganda. We used conditional and mixed multinomial logit models to estimate the utility of each job attribute. We calculated the marginal willingness to accept as the trade-off the CHWs were willing to make for a change in salary. RESULTS: CHWs preferred higher salaries, though salary was not the most important attribute. There was a preference for reliable transportation, such as a bicycle (ß = 1.86, 95% CI = 1.06, 2.67), motorcycle (ß = 1.81, 95% CI = 1.27, 2.34) or transport allowance (ß = 1.37, 95% CI = 0.65, 2.10) to no transport. Formal identification including identity badges (ß = 1.61, 95% CI = 0.72, 2.49), branded uniforms (ß = 1.04, 95% CI = 0.45, 1.63) and protective branded gear (ß = 0.76, 95% CI = 0.32, 1.21) were preferred compared to no identification. CHWs also preferred more regular refresher trainings, the use of mobile phones as job-aids and a lesser workload. The relative importance estimates suggested that transport was the most important attribute, followed by identification, refresher training, salary, workload, recognition, and availability of tools. CHWs were willing to accept a decrease in salary of USH 31 240 (US$8.5) for identity badges, and a decrease of USH85 300 (US$23) for branded uniforms to no identification. CONCLUSIONS: This study utilized CHW and policymaker perspectives to identify realistic and pragmatic incentives to improve CHW working conditions, which is instrumental in improving their retention. Non-monetary incentives (eg, identification, transportation) are crucial motivators for CHWs and should be considered as part of the compensation package to facilitate improved performance of CHW programs.

The Community Health Systems Reform Cycle: Strengthening the Integration of Community Health Worker Programs Through an Institutional Reform Perspective.

To develop guidance for governments and partners seeking to scale community health worker programs, we developed a conceptual framework, collected observations from the scale-up efforts of 7 countries, workshopped the framework with technical groups and with country stakeholders, and reviewed literature in the areas of health and policy reform, change management, institutional development, health systems, and advocacy. We observed that successful scale-up is a complex process of institutional reform. Successful scale-up: (1) depends on a carefully choreographed, problem-driven political process; (2) requires that scaled program models are drawn from solutions that are available in a given health system context and aligned with the resources, capabilities, and commitments of key health sector stakeholders; and (3) emerges from iterative cycles of learning and improvement, rather than a single, linear scale-up effort. We identify stages of the reform process associated with each of these 3 findings: problem prioritization, coalition building, solution gathering, design, program readiness, launch, governance, and management and learning. The resulting Community Health Systems Reform Cycle can be used by government, donors, and nongovernmental partners to prioritize and design community health worker scale-up efforts, diagnose challenges or gaps in successful scale-up and integration, and coordinate the contributions of diverse stakeholders.

Understanding incentive preferences of community health workers using discrete choice experiments: a multicountry protocol for Kenya, Uganda, Bangladesh and Haiti.

INTRODUCTION: There is a renewed global interest in improving community health worker (CHW) programmes. For CHW programmes to be effective, key intervention design factors which contribute to the performance of CHWs need to be identified. The recent WHO guidelines recommends the combination of financial and non-financial incentives to improve CHW performance. However, evidence gaps remain as to what package of incentives will improve their performance in different country contexts. This study aims to evaluate CHW incentive preferences to improve performance and retention which will strengthen CHW programmes and help governments leverage limited resources appropriately. METHODS AND ANALYSIS: A discrete choice experiment (DCE) will be conducted with CHWs in Bangladesh, Haiti, Kenya and Uganda with different levels of maturity of CHWs programmes. This will be carried out in two phases. Phase 1 will involve preliminary qualitative research including focus group discussions (FGDs) and key informant interviews to develop the DCE design which will include attributes relevant to the CHW country settings. Phase 2 will involve a DCE survey with CHWs, presenting them with a series of job choices with varying attribute levels. An orthogonal design will be used to generate the choice sets for the surveys. The surveys will be administered in locally-appropriate languages to at least 150 CHWs from each of the cadres in each country. Conditional and mixed multinomial logit (MMNL) models will be used for the estimation of stated preferences. ETHICS AND DISSEMINATION: This study has been reviewed and approved by the Population Council's Institutional Review Board in New York, and appropriate ethics review boards in Kenya, Uganda, Bangladesh and Haiti. The results of the study will be disseminated through in-country dissemination workshops, meetings with country-level stakeholders and policy working groups, print media, online blogs and peer-reviewed journals.