Main Article Content
Abstract
Background. Managing health information is one of the building blocks of a health system. The practice of health care is based on evidence-based decisions and requires the use of quality health care data. Objective. To evaluate community health centers information system in Bamako, Mali. Methodology. This is a quantitative, descriptive study using a questionnaire to assess the health information system in community health centers in the health districts of Bamako, Mali. This study used secondary data collected in 2020 from the health information system. Results. Out of 47 participants in this survey, approximately 60% of participants received training in data collection, entry, compilation, and analysis. Less than half have received training in the use of DHIS2. Almost three quarters of CSComs, or about 70%, have benefited from supervision by the health district. This study reported insufficient filling of primary data collection source, incomplete filling, late transmission of monthly activities reports and a poor agreement in data from register to monthly activities report, also from monthly activities report to DHIS2. Conclusion. This study provided an update on the quality of the data in the CSComs. Six indicators were assessed and overall, there was no agreement between the data recorded in the primary media and those reported at the higher level. It is therefore important to strengthen the capacities of actors and to set up an effective health information system.
RÉSUMÉ
Contexte. La gestion de l’information sur la santé est l’un des éléments constitutifs d’un système de santé. La pratique des soins de santé est fondée sur des décisions fondées sur des données probantes et exige l’utilisation de données de qualité sur les soins de santé. Objectif. Évaluer le système d’information des centres de santé communautaires à Bamako, au Mali. Méthodologie. Il s’agit d’une étude quantitative et descriptive utilisant un questionnaire pour évaluer le système d’information sur la santé dans les centres de santé communautaires dans les districts de santé de Bamako, au Mali. Cette étude a utilisé des données secondaires recueillies en 2020 à partir du système d’information sur la santé. Résultats. Sur les 47 participants à ce sondage, environ 60 % des participants ont reçu une formation sur la collecte, la saisie, la compilation et l’analyse des données. Moins de la moitié ont reçu une formation sur l’utilisation du DHIS2. Près des trois quarts des CSComs, soit environ 70%, ont bénéficié de la supervision du district sanitaire. Cette étude a signalé un remplissage insuffisant de la source de collecte de données primaires, un remplissage incomplet, une transmission tardive des rapports d’activités mensuels et une mauvaise concordance dans les données du registre au rapport mensuel des activités, ainsi que du rapport mensuel sur les activités au DHIS2. Conclusion. Cette étude a fourni une mise à jour sur la qualité des données dans les CSComs. Six indicateurs ont été évalués et, dans l’ensemble, il n’y avait pas d’accord entre les données enregistrées dans les médias primaires et celles rapportées au niveau supérieur. Il est donc important de renforcer les capacités des acteurs et de mettre en place un système efficace d’information sanitaire.
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References
- Kebede M, Adeba E, Chego M. Evaluation of the quality and use of the health management information system in primary health care units in the eastern wollega area, Oromia Regional State, Ethiopia. BMC Med Inform Decis Mak . 2020;20(1):107. Published on June 12, 2020. doi:10.1186/s12911-020-01148-4
- Endriyas M, Alano, A., Mekonnen, E. et al. Understanding Performance Data: Accuracy of Health Management Information System Data in the Southern Nations Nationalities and Peoples Region of Ethiopia. BMC Health Serv Res 2019; 19, 175.
- Mutale W, Chintu N, Amoroso C, Awoonor-Williams K, Phillips J, Baynes C, et al. Improving health information systems for decision-making in five sub-Saharan African countries: strategies for implementing the African Health Initiative. BMC Health Serv Res. 2013;13(Suppl 2):S9.
- Aqil A, Hozumi D, Lippeveld T. Tools for data demand and use in the healthcare sector: Performance of routine information systems management tools (PRISM). MEASUREMENT EVALUATION; 2011.
- Kiberu VM, Matovu JK, Makumbi F, Kyozira C, Mukooyo E, Wanyenze RK. Strengthening health reporting at the district level through the District Health Management Information System: The Uganda Experience. BMC Med Inform Décis Mak. 2014;14:40.
- Ledikwe JH, Grignon J, Lebelonyane R, Ludick S, Matshediso E, Sento BW, et al. Improving the Quality of Health Information: A Qualitative Assessment of Data Management and Reporting Systems in Botswana. Health Resolution Policy System. 2014;12:7.
- Gimbel S, Micek M, Lambdin B, Lara J, Karagianis M, Cuembelo F, et al. An assessment of the data quality of the routine primary care health information system in Sofala Province, Mozambique. Popular health indicators. 2011;9:12.
- Decennal Health & Social Development Plan (PDDSS) 2014-2023
- WHO (2007) Everyone's Business – Strengthening health systems for better health outcomes. WHO Framework for Action
- Ministry of Health and Public Hygiene of Mali. Framework document for the reform of Mali's health system; 2019
- Department of Health and Social Development. 2019 Local Health Information System Directory; Mali, 2020
- Department of Health and Social Development. Mali's experience in deploying DHIS2 (District Health Information Software, version 2), Mali; 2019
- Ntawuyirusha E, Muhire A, Sayinzoga F, Hedt-Gauthier B. Health management information system (HMIS) data verification: A case study in four districts in Rwanda. PLoS One. 2020 Jul 17;15(7):e0235823. doi: 10.1371/journal.pone.0235823. PMID: 32678851; PMCID: PMC7367468.
- Bogale A. Implementation Status of Health Management Information System in Hospitals of South West Shoa Zone, Oromia, Central Ethiopia. Clinicoecon Outcomes Res. 2021 Jan 6;13:1-8. doi: 10.2147/CEOR. S288998. PMID: 33442275; PMCID: PMC7797277.
- Bhattacharya AA, Umar N, Audu A, Felix H, Allen E, Schellenberg JRM, Marchant T. Quality of routine facility data for monitoring priority maternal and newborn indicators in DHIS2: A case study from Gombe State, Nigeria. PLoS One. 2019 Jan 25;14(1):e0211265. doi: 10.1371/journal.pone.0211265. PMID: 30682130; PMCID: PMC6347394.
- Kiberu VM, Matovu JK, Makumbi F, Kyozira C, Mukooyo E, Wanyenze RK. Strengthening district-based health reporting through the district health management information software system: the Ugandan experience. BMC Med Inform Decis Mak. 2014 May 13;14:40. doi: 10.1186/1472-6947-14-40. PMID: 24886567; PMCID: PMC4030005.
- Nwankwo B, Sambo MN. Can training of health care workers improve data management practice in health management information systems: a case study of primary health care facilities in Kaduna State, Nigeria. Pan Afr Med J. 2018 Aug 24;30:289. doi: 10.11604/pamj.2018.30.289.15802. PMID: 30637073; PMCID: PMC6320474.
- Nwankwo B, Sambo MN. Effect of Training on Knowledge and Attitude of Health Care Workers towards Health Management Information System in Primary Health Centres in Northwest Nigeria. West Afr J Med. 2020 Apr-Jun;37(2):138-144. PMID: 32150632.
- Ngah PCMN, Essi MJ, Bela AC, Tchamgoue H, & Soeters R. Financement Basé sur la Performance et Indicateurs de Santé Infantile: Cas du District de Santé de Messamena –Cameroun. HEALTH SCIENCES AND DISEASE. 2018; 19(3). Retrieved from https://www.hsd-fmsb.org/index.php/hsd/article/view/1090
References
Kebede M, Adeba E, Chego M. Evaluation of the quality and use of the health management information system in primary health care units in the eastern wollega area, Oromia Regional State, Ethiopia. BMC Med Inform Decis Mak . 2020;20(1):107. Published on June 12, 2020. doi:10.1186/s12911-020-01148-4
Endriyas M, Alano, A., Mekonnen, E. et al. Understanding Performance Data: Accuracy of Health Management Information System Data in the Southern Nations Nationalities and Peoples Region of Ethiopia. BMC Health Serv Res 2019; 19, 175.
Mutale W, Chintu N, Amoroso C, Awoonor-Williams K, Phillips J, Baynes C, et al. Improving health information systems for decision-making in five sub-Saharan African countries: strategies for implementing the African Health Initiative. BMC Health Serv Res. 2013;13(Suppl 2):S9.
Aqil A, Hozumi D, Lippeveld T. Tools for data demand and use in the healthcare sector: Performance of routine information systems management tools (PRISM). MEASUREMENT EVALUATION; 2011.
Kiberu VM, Matovu JK, Makumbi F, Kyozira C, Mukooyo E, Wanyenze RK. Strengthening health reporting at the district level through the District Health Management Information System: The Uganda Experience. BMC Med Inform Décis Mak. 2014;14:40.
Ledikwe JH, Grignon J, Lebelonyane R, Ludick S, Matshediso E, Sento BW, et al. Improving the Quality of Health Information: A Qualitative Assessment of Data Management and Reporting Systems in Botswana. Health Resolution Policy System. 2014;12:7.
Gimbel S, Micek M, Lambdin B, Lara J, Karagianis M, Cuembelo F, et al. An assessment of the data quality of the routine primary care health information system in Sofala Province, Mozambique. Popular health indicators. 2011;9:12.
Decennal Health & Social Development Plan (PDDSS) 2014-2023
WHO (2007) Everyone's Business – Strengthening health systems for better health outcomes. WHO Framework for Action
Ministry of Health and Public Hygiene of Mali. Framework document for the reform of Mali's health system; 2019
Department of Health and Social Development. 2019 Local Health Information System Directory; Mali, 2020
Department of Health and Social Development. Mali's experience in deploying DHIS2 (District Health Information Software, version 2), Mali; 2019
Ntawuyirusha E, Muhire A, Sayinzoga F, Hedt-Gauthier B. Health management information system (HMIS) data verification: A case study in four districts in Rwanda. PLoS One. 2020 Jul 17;15(7):e0235823. doi: 10.1371/journal.pone.0235823. PMID: 32678851; PMCID: PMC7367468.
Bogale A. Implementation Status of Health Management Information System in Hospitals of South West Shoa Zone, Oromia, Central Ethiopia. Clinicoecon Outcomes Res. 2021 Jan 6;13:1-8. doi: 10.2147/CEOR. S288998. PMID: 33442275; PMCID: PMC7797277.
Bhattacharya AA, Umar N, Audu A, Felix H, Allen E, Schellenberg JRM, Marchant T. Quality of routine facility data for monitoring priority maternal and newborn indicators in DHIS2: A case study from Gombe State, Nigeria. PLoS One. 2019 Jan 25;14(1):e0211265. doi: 10.1371/journal.pone.0211265. PMID: 30682130; PMCID: PMC6347394.
Kiberu VM, Matovu JK, Makumbi F, Kyozira C, Mukooyo E, Wanyenze RK. Strengthening district-based health reporting through the district health management information software system: the Ugandan experience. BMC Med Inform Decis Mak. 2014 May 13;14:40. doi: 10.1186/1472-6947-14-40. PMID: 24886567; PMCID: PMC4030005.
Nwankwo B, Sambo MN. Can training of health care workers improve data management practice in health management information systems: a case study of primary health care facilities in Kaduna State, Nigeria. Pan Afr Med J. 2018 Aug 24;30:289. doi: 10.11604/pamj.2018.30.289.15802. PMID: 30637073; PMCID: PMC6320474.
Nwankwo B, Sambo MN. Effect of Training on Knowledge and Attitude of Health Care Workers towards Health Management Information System in Primary Health Centres in Northwest Nigeria. West Afr J Med. 2020 Apr-Jun;37(2):138-144. PMID: 32150632.
Ngah PCMN, Essi MJ, Bela AC, Tchamgoue H, & Soeters R. Financement Basé sur la Performance et Indicateurs de Santé Infantile: Cas du District de Santé de Messamena –Cameroun. HEALTH SCIENCES AND DISEASE. 2018; 19(3). Retrieved from https://www.hsd-fmsb.org/index.php/hsd/article/view/1090