ArticleCost effectiveness and resource allocation : C/E2018
Global health worker salary estimates: an econometric analysis of global earnings data.
Article in Cost effectiveness and resource allocation : C/E, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Evaluating the potential cost-effectiveness of microarray patches to expand access to hepatitis B birth dose vaccination in low-and middle-income countries: A modelling study.PLOS global public health · 2022Article
- Design and interactive performance of human resource management system based on artificial intelligence.PloS one · 2022Article
- Cost Evaluation of Minimally Invasive Tissue Sampling (MITS) Implementation in Low- and Middle-Income Countries.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Stark choices: exploring health sector costs of policy responses to COVID-19 in low-income and middle-income countries.BMJ global health · 2021Article
- Cost-Effectiveness of Interventions to Improve Maternal, Newborn and Child Health Outcomes: A WHO-CHOICE Analysis for Eastern Sub-Saharan Africa and South-East Asia.International journal of health policy and management · 2021Article
- Progressive Realisation of Universal Health Coverage in Low- and Middle-Income Countries: Beyond the "Best Buys".International journal of health policy and management · 2021Article
- The benefits of action to reduce household air pollution (BAR-HAP) model: A new decision support tool.PloS one · 2021Article
- Budgeting for comprehensive sexual and reproductive health and rights under universal health coverage.Sexual and reproductive health matters · 2020Article
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Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundHuman resources are consistently cited as a leading contributor to health care costs; however the availability of internationally comparable data on health worker earnings for all countries is a challenge for estimating the costs of health care services. This paper describes an econometric model using cross sectional earnings data from the International Labour Organization (ILO) that the World Health Organizations (WHO)-Choosing Interventions that are Cost-effective programme (CHOICE) has used to prepare estimates of health worker earnings (in 2010 USD) for all WHO member states.
methodsThe ILO data contained 324 observations of earnings data across 4 skill levels for 193 countries. Using this data, along with the assumption that data were missing not at random, we used a Heckman two stage selection model to estimate earning data for each of the 4 skill levels for all WHO member states.
resultsIt was possible to develop a prediction model for health worker earnings for all countries for which GDP data was available. Health worker earnings vary both within country due to skill level, as well as across countries. As a multiple of GDP per capita, earnings show a negative correlation with GDP-that is lower income countries pay their health workers relatively more than higher income countries.
conclusionsLimited data on health worker earnings is a limiting factor in estimating the costs of global health programmes. It is hoped that these estimates will support robust health care intervention costings and projections of resources needs over the Sustainable Development Goal period.
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Registered trials
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