Designing feasible anti-corruption strategies in the Nigerian health system
A latent class analysis of a discrete choice experiment
Bibliographic Data
| ID | 11916465 |
|---|---|
| Authors | Blake Angell (0000-0002-7188-7740, The George Institute for Global Health, corresponding author), Obinna Onwujekwe (0000-0002-1214-4285, University of Nigeria), Pallavi Roy (0000-0001-8359-0883, SOAS University of London), Chukwudi Nwokolo (0000-0003-3434-0866, University of Nigeria), Martin Mckee (0000-0002-0121-9683, Faculty of Public Health), Kate L Mandeville (0000-0002-5525-1574, London School of Hygiene & Tropical Medicine), Kate Mandeville, Divine Ndubuisi Obodoechi (0000-0001-7873-1856, University of Nigeria), Divine Obodoechi, Prince Agwu (0000-0001-9224-7622, University of Dundee), Aloysius Odii (0000-0002-2222-0835, University of Nigeria), Charles T Orjiakor (0000-0001-5379-8915, University of Nigeria), Charles Orjiakor, Eleanor Hutchinson (0000-0002-9718-2407, Faculty of Public Health), Dina Balabanova (0000-0001-7163-3428, Faculty of Public Health) |
| Year | 2023 |
| Volume | 166 |
| Pages | 106208-106208 |
| Publication date | 2023-02-24 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | World Development (JOURNAL) |
| Journal identifiers | ISSN: 0305-750X • E-ISSN: 1873-5991 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.worlddev.2023.106208 |
| OpenAlex | W4321767339 |
| Language | EN |
| Citations received | 1 |
| References cited | 26 |
Health worker absenteeism is a major form of corruption in the Nigerian health system, reducing the impact of healthcare investment and disproportionately affecting vulnerable communities. Top-down governance and accountability measures to improve attendance have had limited effect, potentially because they have not addressed underlying incentives driving health worker behaviour. To inform feasible interventions to reduce absenteeism, we sought to investigate how potential interventions targeting key drivers of absenteeism could influence behaviour through a discrete choice experiment with 412 primary health care workers in Enugu State, Nigeria. The experiment included six attributes drawing on a literature review, qualitative research and stakeholder consultation: facility relationship with the community, method of supervision, attendance-related rewards or punishments, flexible working policy, posting location and financial incentives. Respondent choices were analysed with mixed multinomial logistic and latent class models and used to simulate job uptake under different policies. We found all attributes significantly influenced choices: workers strongly preferred jobs that facilitated supportive community relationships (β = 0.37), had a financial incentive worth 10 % of a worker’s salary (β = 0.39), rewarded attendance with credit towards promotion (β = 0.25) or placement in training (β = 0.14), and offered flexible work conditions (β = 0.14). Using latent class analysis, we identified two sub-groups of workers who differed in their willingness to accept a job and preferences over specific attributes, suggesting some may be more susceptible to feasible interventions to improve attendance. We argue that focusing on the needs of these groups may offer a path to incrementally, but sustainably, reduce absenteeism across the system. Our findings build on frameworks developed in anti-corruption research in other sectors only recently been applied to the health sector. The work represents some of the only empirical evidence to inform anti-corruption strategies in Nigeria and internationally, with findings relevant to other low- and middle-income countries seeking to combat absenteeism among primary health care workers
Absenteeism · Attendance · Business · Economic growth · Economics · Incentive · Psychological intervention · Public economics · Corruption and Economic Development · Global Maternal and Child Health · Healthcare Systems and Reforms · Medicine · Nursing · Psychology · Social Psychology
Statistical Methods for the Analysis of Discrete Choice Experiments
Using qualitative methods for attribute development for discrete choice experiments
Conducting Discrete Choice Experiments to Inform Healthcare Decision Making
Sample Size Requirements for Discrete-Choice Experiments in Healthcare
Health Worker Absenteeism in Selected Health Facilities in Enugu State
Targeting anticorruption interventions at the front line
Incentivising doctor attendance in rural Bangladesh
Does ICT-based farm advisory improve farmers' adaptation to climate change? Evidence from Pakistan
Making Politics Work for Development
The Impact of Transparency and Accountability Initiatives
Digital technology for health sector governance in low and middle income countries
Political settlements and the analysis of institutions
Corruption in Anglophone West Africa health systems
Is Transparency the Key to Reducing Corruption in Resource-Rich Countries
Missing in Action
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |