Background: Socioeconomic disparities are a major determinant of health outcomes, especially in low- and middle-income countries. While infectious diseases remain a leading cause of hospitalization and mortality in sub-Saharan Africa, the role of socio-professional status—a key proxy for social vulnerability—on in-hospital outcomes is underexplored. Methods: We conducted a retrospective observational study of 610 adult patients hospitalized for infectious diseases over a two-year period (2021-2022) in a tertiary hospital in Senegal. Patients were categorized by socio-professional status (formal employment, informal sector, unemployed) based on self-reported occupation. The primary outcome was in-hospital mortality. A multivariable logistic regression model was used to assess the independent association between socio-professional status and mortality, adjusting for age, sex, and clinical severity at admission (organ involvement). While over one-third of patients were excluded due to unclassified occupational data, sensitivity analyses confirmed the robustness of our findings (Supplementary Material). Results: Overall in-hospital mortality was 20.2%. Mortality was highest among unemployed patients (27.0%) compared to those in the informal sector (19.6%) and formal employment (7.7%). In adjusted analysis, unemployment was significantly associated with higher odds of in-hospital death (adjusted odds ratio [aOR] 1.85, 95% CI: 1.08 - 3.19, *p* = 0.026). Male sex, increasing age, and neurological or multisystem involvement were also significant predictors of mortality. Informal sector workers had elevated but non-significant odds of death (aOR 1.44, *p* = 0.188). Conclusion: Socio-professional status, particularly unemployment, is an independent predictor of in-hospital mortality among patients with infectious diseases in Senegal. These findings underscore the need to incorporate socioeconomic vulnerability into hospital triage, social support systems, and health equity interventions in low-resource settings.
References
[1]
Vos, T., Lim, S.S., Abbafati, C., etal. (2020) Global Burden of 369 Diseases and Injuries in 204 Countries and Territories, 1990-2019: A Systematic Analysis. TheLancet, 396, 1204-1222. https://doi.org/10.1016/s0140-6736(20)30925-9
[2]
World Health Organization (2023) World Health Statistics 2023: Monitoring Health for the SDGs. WHO.
[3]
Marmot, M., Friel, S., Bell, R., Houweling, T.A. and Taylor, S. (2008) Closing the Gap in a Generation: Health Equity through Action on the Social Determinants of Health. TheLancet, 372, 1661-1669. https://doi.org/10.1016/s0140-6736(08)61690-6
[4]
Bocoum, F.Y., Kouanda, S., Ridde, V., etal. (2014) Inequities in Healthcare-Seeking for Febrile Children in Urban Poor Communities in Ouagadougou, Burkina Faso. BMCIntHealthHumanRights, 14, Article No. 1.
[5]
Atakla, H.G., Dougnon, T., Agueh, V., etal. (2020) Clinical and Epidemiological Profile of Infectious Diseases in Benin Hospitals: A Multicentric Descriptive Study. BMCInfectiousDiseases, 20, Article No. 186.
[6]
International Labour Organization (2018) Women and Men in the Informal Economy: A Statistical Picture. 3rd Edition, ILO.
[7]
Solar, O. and Irwin, A. (2010) A Conceptual Framework for Action on the Social Determinants of Health. WHO.
[8]
Agence Nationale de la Statistique et de la Démographie (ANSD) (2021) Rapport national sur la population et le développement. ANSD.
[9]
Lund, C., Brooke-Sumner, C., Baingana, F., Baron, E.C., Breuer, E., Chandra, P., etal. (2018) Social Determinants of Mental Disorders and the Sustainable Development Goals: A Systematic Review of Reviews. TheLancetPsychiatry, 5, 357-369. https://doi.org/10.1016/s2215-0366(18)30060-9
[10]
Marmot, M., Allen, J., Boyce, T., etal. (2020) Health Equity in England: The Marmot Review 10 Years on. BritishMedicalJournal, 368, m693. https://doi.org/10.1136/bmj.m693
[11]
Ridde, V., Kane, B., Gaye, I., etal. (2015) Financial Barriers to Health Care in the Sahel: Evidence from Burkina Faso, Mali and Senegal. InternationalJournalforEquityinHealth, 14, Article 71.
[12]
Ousmane, N., Ndir, M., Fortes, C., etal. (2017) Clinical Profile and Determinants of Mortality in Adult Meningitis Cases in Dakar. TheJournalofInfectioninDevelopingCountries, 11, 220-226.
[13]
De Allegri, M., Ridde, V., Louis, V.R., etal. (2015) Determinants of Utilization of Services in Community-Based Health Insurance Schemes in Sub-Saharan Africa: A Systematic Review. BMCHealthServicesResearch, 15, Article No. 543.
[14]
Colvin, C.J., de Heer, J., Winterton, L., etal. (2015) Gender, Health and Change in Africa: Mapping the Landscape. ReproductiveHealthMatters, 23, 169-180.
[15]
Diop, L., Fall, L., Ba, S., etal. (2019) Masculinity and Access to Health Services in Dakar: Barriers and Facilitators. SantéPublique, 31, 319-327.
[16]
Commission on Social Determinants of Health (2008) Closing the Gap in a Generation: Health Equity through Action on the Social Determinants of Health. WHO.
[17]
Agence Nationale de la Statistique et de la Démographie (ANSD) (2024) Situation de l’emploi au Sénégal, Rapport Annuel 2023. ANSD.
[18]
Diallo, T., Kane, S., Yaya, S., etal. (2021) Health Financing Reforms in Senegal: A Review of the Role of Community-Based Health Insurance Schemes. BMCHealthServicesResearch, 21, Article No. 1089.
[19]
O’Donnell, O., van Doorslaer, E., Wagstaff, A., etal. (2008) Analyzing Health Equity Using Household Survey Data: A Guide to Techniques and Their Implementation. World Bank Publications.
[20]
Houweling, T.A.J., Kunst, A.E. and Mackenbach, J.P. (2003) Measuring Health Inequality among Children in Developing Countries: Does the Choice of the Indicator of Economic Status Matter? InternationalJournalforEquityinHealth, 2, Article No. 8. https://doi.org/10.1186/1475-9276-2-8
[21]
Institut National de la Statistique and ICF (2022) Enquête Démographique et de Santé 2021. Abidjan, Côte d’Ivoire.