BackgroundCommunity health workers (CHWs) are increasingly recognized as a critical link in improving access to services and achieving the health-related Millennium Development Goals. Given the financial and human resources constraints in developing countries, CHWs are expected to do more without necessarily receiving the needed support to do their jobs well. How much can be expected of CHWs before work overload and reduced organizational support negatively affect their productivity, the quality of services, and in turn the effectiveness of the community-based programmes that rely on them? This article presents policy-makers and programme managers with key considerations for a model to improve the work environment as an important approach to increase CHW productivity and, ultimately, the effectiveness of community-based strategies.MethodsA desk review of selective published and unpublished articles and reports on CHW programs in developing countries was conducted to analyse and organize findings on the elements that influence CHW productivity. The search was not exhaustive but rather was meant to gather information on general themes that run through the various documents to generate perspectives on the issue and provide evidence on which to formulate ideas. After an initial search for key terminology related to CHW productivity, a snowball technique was used where a reference in one article led to the discovery of additional documents and reports.ResultsCHW productivity is determined in large part by the conditions under which they work. Attention to the provision of an enabling work environment for CHWs is essential for achieving high levels of productivity. We present a model in which the work environment encompasses four essential elements—workload, supportive supervision, supplies and equipment, and respect from the community and the health system—that affect the productivity of CHWs. We propose that when CHWs have a manageable workload in terms of a realistic number of tasks and clients, an organized manner of carrying out these tasks, a reasonable geographic distance to cover, the needed supplies and equipment, a supportive supervisor, and respect and acceptance from the community and the health system, they can function more productively and contribute to an effective community-based strategy.ConclusionsAs more countries look to scale up CHW programmes or shift additional tasks to CHWs, it is critical to pay attention to the elements that affect CHW productivity during programme design as well as implementation. An enabling work environment is crucial to maximize CHW productivity. Policy-makers, programme managers, and other stakeholders need to carefully consider how the productivity elements related to the work environment are defined and incorporated in the overall CHW strategy. Establishing a balance among the four elements that constitute a CHW’s work environment will help make great strides in improving the effectiveness and quality of the services provided by CHWs.

BackgroundHealth facilities require teams of health workers with complementary skills and responsibilities to efficiently provide quality care. In low-income countries, failure to attract and retain health workers in rural areas reduces population access to health services and undermines facility performance, resulting in poor health outcomes. It is important that governments consider health worker preferences in crafting policies to address attraction and retention in underserved areas.MethodsWe investigated preferences for job characteristics among final year medical, nursing, pharmacy, and laboratory students at select universities in Uganda. Participants were administered a cadre-specific discrete choice experiment that elicited preferences for attributes of potential job postings they were likely to pursue after graduation. Job attributes included salary, facility quality, housing, length of commitment, manager support, training tuition, and dual practice opportunities. Mixed logit models were used to estimate stated preferences for these attributes.ResultsData were collected from 246 medical students, 132 nursing students, 50 pharmacy students and 57 laboratory students. For all student-groups, choice of job posting was strongly influenced by salary, facility quality and manager support, relative to other attributes. For medical and laboratory students, tuition support for future training was also important, while pharmacy students valued opportunities for dual practice.ConclusionsIn Uganda, financial and non-financial incentives may be effective in attracting health workers to underserved areas. Our findings contribute to mounting evidence that salary is not the only important factor health workers consider when deciding where to work. Better quality facilities and supportive managers were important to all students. Similarities in preferences for these factors suggest that team-based, facility-level strategies for attracting health workers may be appropriate. Improving facility quality and training managers to be more supportive of facility staff may be particularly cost-effective, as investments are borne once while benefits accrue to a range of health workers at the facility.

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BackgroundA discrete choice experiment was conducted to investigate preferences for job characteristics among nursing students and practicing nurses to determine how these groups vary in their respective preferences and to understand whether differing policies may be appropriate for each group.MethodsParticipating students and workers were administered a discrete choice experiment that elicited preferences for attributes of potential job postings. Job attributes included salary, duration of service until promotion to permanent staff, duration of service until qualified for further study and scholarship, housing provision, transportation provision, and performance-based financial rewards. Mixed logit models were fit to the data to estimate stated preferences and willingness to pay for attributes. Finally, an interaction model was fit to formally investigate differences in preferences between nursing students and practicing nurses.ResultsData were collected from 256 nursing students and 249 practicing nurses. For both groups, choice of job posting was strongly influenced by salary and direct promotion to permanent staff. As compared to nursing students, practicing nurses had significantly lower preference for housing allowance and housing provision as well as lower preference for provision of transportation for work and personal use.ConclusionsIn the Lao People’s Democratic Republic, nursing students and practicing nurses demonstrated important differences in their respective preferences for rural job posting attributes. This finding suggests that it may be important to differentiate between recruitment and retention policies when addressing human resources for health challenges in developing countries, such as Laos.

Background: The dearth of health workers in rural settings in Lao People’s Democratic Republic (PDR) and other developing countries limits healthcare access and outcomes. In evaluating non-wage financial incentive packages as a potential policy option to attract health workers to rural settings, understanding the expected costs and effects of the various programs ex ante can assist policy-makers in selecting the optimal incentive package. Methods: We use discrete choice experiments (DCEs), costing analyses and recent empirical results linking health worker density and health outcomes to estimate the future location decisions of physicians and determine the cost-effectiveness of 15 voluntary incentives packages for new physicians in Lao PDR. Our data sources include a DCE survey completed by medical students (n = 329) in May 2011 and secondary cost, economic and health data. Mixed logit regressions provide the basis for estimating how each incentive package influences rural versus urban location choice over time. We estimate the expected rural density of physicians and the cost-effectiveness of 15 separate incentive packages from a societal perspective. In order to generate the cost-effectiveness ratios we relied on the rural uptake probabilities inferred from the DCEs, the costing data and prior World Health Organization (WHO) estimates that relate health outcomes to health worker density. Results: Relative to no program, the optimal voluntary incentive package would increase rural physician density by 15% by 2016 and 65% by 2041. After incorporating anticipated health effects, seven (three) of the 15 incentive packages have anticipated average cost-effectiveness ratio less than the WHO threshold (three times gross domestic product [GDP] per capita) over a 5-year (30 year) period. The optimal package’s incremental cost-effectiveness ratio is $1454/QALY (quality-adjusted life year) over 5 years and $2380/QALY over 30 years. Capital intensive components, such as housing or facility improvement, are not efficient. Conclusion: Conditional on using voluntary incentives, Lao PDR should emphasize non-capital intensive options such as advanced career promotion, transport subsidies and housing allowances to improve physician distribution and rural health outcomes in a cost-effective manner. Other countries considering voluntary incentive programs can implement health worker/trainee DCEs and costing surveys to determine which incentive bundles improve rural uptake most efficiently but should be aware of methodological caveats.