The Democratic Republic of Congo has flagged health workforce management and compensation as issues requiring attention, including the problem of ghost workers (individuals on payroll who do not exist and/or show up at work). Recognising the need for reliable health workforce information, the government has worked to implement iHRIS, an open source human resources information system that facilitates health workforce management. In Kasaï Central and Kasaï Provinces, health workers brought relevant documentation to data collection points, where trained teams interviewed them and entered contact information, identification, photo, current job, and employment and education history into iHRIS on laptops. After uploading the data, the Ministry of Public Health used the database of over 11 500 verified health worker records to analyse health worker characteristics, density, compensation, and payroll. Both provinces had less than one physician per 10 000 population and a higher urban versus rural health worker density. Most iHRIS-registered health workers (57% in Kasaï Central and 73% in Kasaï) reported receiving no regular government pay of any kind (salaries or risk allowances). Payroll analysis showed that 27% of the health workers listed as salary recipients in the electronic payroll system were ghost workers, as were 42% of risk allowance recipients. As a result, the Ministries of Public Health, Public Service, and Finance reallocated funds away from ghost workers to cover salaries (n = 781) and risk allowances (n = 2613) for thousands of health workers who were previously under- or uncompensated due to lack of funds. The reallocation prioritised previously under- or uncompensated mid-level health workers, with 49% of those receiving salaries and 68% of those receiving risk allowances representing cadres such as nurses, laboratory technicians, and midwifery cadres. Assembling accurate health worker records can help governments understand health workforce characteristics and use data to direct scarce domestic resources to where they are most needed.
Keywords: Domestic resource mobilisation; ghost workers; health worker remuneration; health workforce; human resources for health; human resources information system; payroll analysis.
© The Author 2017. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: firstname.lastname@example.org.