Abstract:

The National Health Management Information System (NHMIS) was designed to provide timely and reliable health service delivery information. The efficiency and effectiveness of health service delivery is assessed by the availability of quality, complete and timely data. The NHMIS Policy review was initiated by a consortium of relevant stake holders led by the Department of Planning, Research and Statistics (DPRS) of the federal ministry of health (FMOH) and the National Primary Health Care Development Agency (NPHCDA). The Emphasis of the NHMIS Is to strengthen the Health Information System-HIS in the country and promote the use of quality information for evidence-based decision-making at the community, LGA, and national levels. In spite of substantial investments, the health sector in Nigeria has made slow progress in improving its health indices. Thus the Nigeria State Health Investment Project(NSHIP), through support from WHO, introduced the Performance-based financing –PBF currently rolled out in three states- Adamawa, Nasarawa, and the Ondo States to deliver a result-based approach to improve quantity and quality of health services especially in the area of maternal health. Health centers receive funds directly based on the number of essential services they delivered and the improved quality of care. This encouraged health centers to focus on delivering results, and the new funds enabled them to improve their services. This study compared data reported using the NHMIS and declared validated on the PBF declaration forms in funding health facilities in Nasarawa state for quarter 1 (Jan.- Mar.)2018 and quarter 2 (Apr. – June) 2018.

References:

[1] MEASURE Evaluation. 2017, Using DHIS 2 to Strengthen Health Systems. Chapel Hill, NC: MEASURE Evaluation, University of North Carolina;.5-6 Available: https://www.measureevaluation.org/resources/publications/fs-17-212.

[2] Federal Ministry of Health. (2007). National Health Management Information System (NHMIS) Unit: Revised Policy and Strategic Plan of Action. Abuja, Nigeria: Federal Ministry of Health Nigeria. pp.1-3, https://ehealth4everyone.com/wp-content/uploads/2015/09/Nig-Health-Info.pdf.

[3] Federal Ministry of Health, Nigeria, 2014, National Health Information System Strategic Plan (2014-2018). Federal Government of Nigeria., http://www.health.gov.ng/doc/National%20HIS%20Strategic% 20Plan.pdf.

[4]  Health Data Collaborative, 2016, Nigeria to track health sector performance with coordinated partner support on health data, https://www.healthdatac ollaborative.org/news/article/nigeria-to-track-health-sector-performance-with-coordinated-partner-support-on-health-data-80/.

[5] AbouZahr, C T., 2005, Health information systems: the foundations of public health. Bulletin of the World Health Organization, 83(8), 578–583, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2626318/.

[6] Nyamtema A.S, 2010, Bridging the gaps in the Health Management Information System in the context of a changing health sector. BMC Medical Informatics & Decision Making,10(1),36 https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/1472-6947-10-36.

[7] Olusesan A. M, Emmanuel C. M, Akin Oyemakinde, Kolawole A.O, Akinyemi Atobatele, Fadeke A. F, et all, 2018, The Nigerian Health Information Health Information System Policy Review of 2014: the need, content, expectations, and progress; Health information and library journal, 35, 285-297, https://onlinelibrary.wiley.com/doi/full/10.1111/hir.12240.

[8] Jean S. N, Pierre Ongolo-Zogo, 2010, Reinforcing the Health Information System to Step up the Viabilization of Health District’s Policy brief,1–11, http://www.cdbph.org/documents/ongolo_en_ReinforcingHIS4DistrictViabilization_18jul10.pdf.

[9] Report A. African development fund, Nigeria Country Strategy, 2020-2024. https://www.gtai.de/resource/blob/549194/60a7991ccd54563a048748152fcecfb4/PRO20200908549188.pdf.

[10] Mutale W, Chintu N, Amoroso C, Awoonor-Williams K, Phillips J, Baynes C, et al. 2013, Improving health information systems for decision making across five sub-Saharan African countries: Implementation strategies from the African Health Initiative. BMC Health Services Research,13(2), https://bmchealthservres.biomedcentral.com/articles/10.1186/1472-6963-13-S2-S9.

[11] Nshimyiryo A, Kirk CM, Sauer SM, Ntawuyirusha E, Muhire A, Sayinzoga F, et al.,2020, Health management information system (HMIS) data verification: A case study in four districts in Rwanda, 15(7), https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235823.

[12] Ouedraogo M, Kurji J, Abebe L, Labonté R, Morankar S, Bedru KH, et al., 2019, A quality assessment of Health Management Information System (HMIS) data maternal and child health in Jimma Zone, Ethiopia, 14(3), https://pubmed.ncbi.nlm.nih.gov/30856239/.

[13] O’Hagan R, Marx MA, Finnegan KE, Naphini P, Ng’ambi K, Laija K, et al., 2017, National Assessment of Data Quality and Associated Systems-Level Factors in Malawi. Global Health: Science and Practice.;5(3), https://pubmed.ncbi.nlm.nih.gov/28963173/.

[14] Venkateswaran M, Mørkrid K, Abu Khader K, Awwad T, Friberg IK, Ghanem B, et al., 2018, Comparing individual-level clinical data from antenatal records with routine health information systems indicators for antenatal care in the West Bank: A cross-sectional study,13, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0207813.

[15] Kum Ghabowen Iwimbong, 2015, Comparing Data Reported using the National Health Management Information System and data Declared/Validated on the PBF Declaration forms in
Fundong Health District, South American Journal of Academic Research, 2(2), 1-9, https://www.texilajournal.com/thumbs/article/Academic%20Research_Vol%202_Issue%202_Article_5.pdf.

[16] Kumar, M., Gotz, D., Nutley, T., & Smith, J. B. (2017). Research gaps in routine health information system design barriers to data quality and use in low- and middle-income countries: A literature review. The International Journal of Health Planning and Management, 33(1), 1–9. https://doi.org/10.1002/hpm.

[17] Maduekwe, N. I., Banjo, O. O., & Sangodapo, M. O. (2017). The Nigerian Civil registration and vital statistics system: Contexts, institutions, operation. Social Indicators Research, 134(2), 651–674. https://doi.org/10.1007/s11205-016-1448-5.

[18] Upadhaya, N., Jordans, M. J. D., Abdulmalik, J., Ahuja, S., Alem, A., Hanlon, C., et all., Gureje, O. (2016). Information systems for mental health in six low- and middle-income countries: Cross country situation analysis. International Journal of Mental Health Systems, 10, 60. https://doi.org/10. 1186/s13033-016-0094-2.

[19] World Health Organization. (2008). Framework and standards for country health information systems. Retrieved 4 November 2015 from http://apps.who.int/iris/handle/10665/43872.

[20] Smith, Peter C, Karanikolos, Marina & Cylus, Jonathan. (‎2018)‎, European Observatory on Health Systems and Policies, Evolution of health system performance assessment: the roles of international comparisons and international institutions. Eurohealth, 24 (‎2)‎, 15 - 18. World Health Organization. Regional Office for Europe. https://apps.who.int/iris/handle/10665/332564.