Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa
Health facility data are a critical source of local and continuous health statistics. Countries have introduced web-based information systems that facilitate data management, analysis, use and visualisation of health facility data. Working with teams of Ministry of Health and country public health i...
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2019-10-01
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| Series: | BMJ Global Health |
| Online Access: | https://gh.bmj.com/content/4/5/e001849.full |
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| author | Ties Boerma Abdoulaye Maïga Safia S Jiwani Martin Kavao Mutua Tyler Andrew Porth Chelsea Maria Taylor Gershim Asiki Dessalegn Y Melesse Candy Day Kathleen L Strong Cheikh Mbacké Faye Kavitha Viswanathan Kathryn Patricia O’Neill Bob S Pond Jean Marie Ntibazomumpa Joël Nibogora Prosper Niyongabo Amanuel Kifle Sibusiso Charles Mamba Wubegzier Mekonnen Ayele Espoir Bwenge Malembaka Robert Banywesize Anne Khasakhala Anthony Ngugi Helen Kiarie Valeria Makory Leonard Cosmas Lebohang Rantsatsi Simeon Yosefe Golden Chanansi Kondwani Chavula Monica Patricia Malata Gerito Augusto Cesarino Tivane Catarina Barrula Cláudio Muianga Ezekiel Muyenga Matheus Shiindi Pacifique Mukashema Ntawuyirusha Emmanuel Innocent Maposa Mamothena Carol Mothupi Augustino Ting Mayai Victor Misaka Edward Ladu Josephine Shabani Dhamira Mongi Prisca Jackson David Edward Lenga Daudi Simba Geraldine Agiraembabazi Paul Mubiri Jimmy Ogwal Stephen Akena Bwoye Elizabeth Mwauluka Mbonyiwe Jojo Choolwe Jacobs Rugare Abigail Kangwende Lloyd Machacha Vasco Chikwasha Mooketsi M Molefi Judith Letebele Balekane Sitibi |
| author_facet | Ties Boerma Abdoulaye Maïga Safia S Jiwani Martin Kavao Mutua Tyler Andrew Porth Chelsea Maria Taylor Gershim Asiki Dessalegn Y Melesse Candy Day Kathleen L Strong Cheikh Mbacké Faye Kavitha Viswanathan Kathryn Patricia O’Neill Bob S Pond Jean Marie Ntibazomumpa Joël Nibogora Prosper Niyongabo Amanuel Kifle Sibusiso Charles Mamba Wubegzier Mekonnen Ayele Espoir Bwenge Malembaka Robert Banywesize Anne Khasakhala Anthony Ngugi Helen Kiarie Valeria Makory Leonard Cosmas Lebohang Rantsatsi Simeon Yosefe Golden Chanansi Kondwani Chavula Monica Patricia Malata Gerito Augusto Cesarino Tivane Catarina Barrula Cláudio Muianga Ezekiel Muyenga Matheus Shiindi Pacifique Mukashema Ntawuyirusha Emmanuel Innocent Maposa Mamothena Carol Mothupi Augustino Ting Mayai Victor Misaka Edward Ladu Josephine Shabani Dhamira Mongi Prisca Jackson David Edward Lenga Daudi Simba Geraldine Agiraembabazi Paul Mubiri Jimmy Ogwal Stephen Akena Bwoye Elizabeth Mwauluka Mbonyiwe Jojo Choolwe Jacobs Rugare Abigail Kangwende Lloyd Machacha Vasco Chikwasha Mooketsi M Molefi Judith Letebele Balekane Sitibi |
| author_sort | Ties Boerma |
| collection | DOAJ |
| description | Health facility data are a critical source of local and continuous health statistics. Countries have introduced web-based information systems that facilitate data management, analysis, use and visualisation of health facility data. Working with teams of Ministry of Health and country public health institutions analysts from 14 countries in Eastern and Southern Africa, we explored data quality using national-level and subnational-level (mostly district) data for the period 2013–2017. The focus was on endline analysis where reported health facility and other data are compiled, assessed and adjusted for data quality, primarily to inform planning and assessments of progress and performance. The analyses showed that although completeness of reporting was generally high, there were persistent data quality issues that were common across the 14 countries, especially at the subnational level. These included the presence of extreme outliers, lack of consistency of the reported data over time and between indicators (such as vaccination and antenatal care), and challenges related to projected target populations, which are used as denominators in the computation of coverage statistics. Continuous efforts to improve recording and reporting of events by health facilities, systematic examination and reporting of data quality issues, feedback and communication mechanisms between programme managers, care providers and data officers, and transparent corrections and adjustments will be critical to improve the quality of health statistics generated from health facility data. |
| format | Article |
| id | doaj-art-0e77e182fb4f4869a27c5ee74a6dc791 |
| institution | Kabale University |
| issn | 2059-7908 |
| language | English |
| publishDate | 2019-10-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Global Health |
| spelling | doaj-art-0e77e182fb4f4869a27c5ee74a6dc7912024-12-12T21:00:09ZengBMJ Publishing GroupBMJ Global Health2059-79082019-10-014510.1136/bmjgh-2019-001849Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern AfricaTies Boerma0Abdoulaye Maïga1Safia S Jiwani2Martin Kavao Mutua3Tyler Andrew Porth4Chelsea Maria Taylor5Gershim Asiki6Dessalegn Y Melesse7Candy Day8Kathleen L Strong9Cheikh Mbacké Faye10Kavitha Viswanathan11Kathryn Patricia O’Neill12Bob S Pond13Jean Marie NtibazomumpaJoël NibogoraProsper NiyongaboAmanuel KifleSibusiso Charles MambaWubegzier Mekonnen AyeleEspoir Bwenge MalembakaRobert BanywesizeAnne KhasakhalaAnthony NgugiHelen Kiarie14Valeria MakoryLeonard Cosmas15Lebohang RantsatsiSimeon Yosefe16Golden ChanansiKondwani ChavulaMonica Patricia MalataGerito AugustoCesarino TivaneCatarina BarrulaCláudio MuiangaEzekiel MuyengaMatheus ShiindiPacifique MukashemaNtawuyirusha EmmanuelInnocent Maposa17Mamothena Carol MothupiAugustino Ting MayaiVictor MisakaEdward LaduJosephine ShabaniDhamira MongiPrisca JacksonDavid Edward LengaDaudi SimbaGeraldine AgiraembabaziPaul Mubiri18Jimmy OgwalStephen Akena BwoyeElizabeth MwaulukaMbonyiwe JojoChoolwe Jacobs19Rugare Abigail KangwendeLloyd MachachaVasco ChikwashaMooketsi M MolefiJudith LetebeleBalekane SitibiCountdown to 2030 for Women`s, Children`s and Adolescents` Health, Institute for Global Public Health, Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, CanadaInternational Health Department, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USAJohns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USADepartment of Research, African Population and Health Research Center, Nairobi, KenyaUNICEF, New York City, New York, USADepartment of Maternal, Newborn, Child and Adolescent Health, World Health Organization, Geneva, Switzerland1 Chronic Disease Management Unit, African Population and Health Research Center, Nairobi, KenyaCentre for Global Public Health, Department of Community Health Sciences, Countdown 2030 for Women’s, Children’s and Adoelscents’ Health, Winnipeg, Manitoba, CanadaDG Murray Trust, Cape Town, South AfricaDepartment of Maternal, Newborn, Child and Adolescent Health, World Health Organization, Geneva, SwitzerlandWest Africa Regional Office, African Population and Health Research Center, Dakar, SenegalInformation Evidence and Research, World Health Organization, Geneva, SwitzerlandInformation Evidence and Research, World Health Organization, Geneva, SwitzerlandIndependent Consultant, Portland, Oregon, USA4 Division of Monitoring & Evaluation, Ministry of Health, Nairobi, KenyaCenters for Disease Control and Prevention, KEMRI Complex, Nairobi, KenyaCentral Monitoring and Evaluation Division, Malawi Ministry of Health, Lilongwe, Malawi2 Division of Epidemiology and Biostatistics, University of the Witwatersrand Johannesburg Faculty of Health Sciences, Johannesburg, South AfricaSchool of Public Health, Makerere University, College of Health Sciences, Kampala, UgandaDepartment of Epidemiology and Biostatistics, University of Zambia, Lusaka, ZambiaHealth facility data are a critical source of local and continuous health statistics. Countries have introduced web-based information systems that facilitate data management, analysis, use and visualisation of health facility data. Working with teams of Ministry of Health and country public health institutions analysts from 14 countries in Eastern and Southern Africa, we explored data quality using national-level and subnational-level (mostly district) data for the period 2013–2017. The focus was on endline analysis where reported health facility and other data are compiled, assessed and adjusted for data quality, primarily to inform planning and assessments of progress and performance. The analyses showed that although completeness of reporting was generally high, there were persistent data quality issues that were common across the 14 countries, especially at the subnational level. These included the presence of extreme outliers, lack of consistency of the reported data over time and between indicators (such as vaccination and antenatal care), and challenges related to projected target populations, which are used as denominators in the computation of coverage statistics. Continuous efforts to improve recording and reporting of events by health facilities, systematic examination and reporting of data quality issues, feedback and communication mechanisms between programme managers, care providers and data officers, and transparent corrections and adjustments will be critical to improve the quality of health statistics generated from health facility data.https://gh.bmj.com/content/4/5/e001849.full |
| spellingShingle | Ties Boerma Abdoulaye Maïga Safia S Jiwani Martin Kavao Mutua Tyler Andrew Porth Chelsea Maria Taylor Gershim Asiki Dessalegn Y Melesse Candy Day Kathleen L Strong Cheikh Mbacké Faye Kavitha Viswanathan Kathryn Patricia O’Neill Bob S Pond Jean Marie Ntibazomumpa Joël Nibogora Prosper Niyongabo Amanuel Kifle Sibusiso Charles Mamba Wubegzier Mekonnen Ayele Espoir Bwenge Malembaka Robert Banywesize Anne Khasakhala Anthony Ngugi Helen Kiarie Valeria Makory Leonard Cosmas Lebohang Rantsatsi Simeon Yosefe Golden Chanansi Kondwani Chavula Monica Patricia Malata Gerito Augusto Cesarino Tivane Catarina Barrula Cláudio Muianga Ezekiel Muyenga Matheus Shiindi Pacifique Mukashema Ntawuyirusha Emmanuel Innocent Maposa Mamothena Carol Mothupi Augustino Ting Mayai Victor Misaka Edward Ladu Josephine Shabani Dhamira Mongi Prisca Jackson David Edward Lenga Daudi Simba Geraldine Agiraembabazi Paul Mubiri Jimmy Ogwal Stephen Akena Bwoye Elizabeth Mwauluka Mbonyiwe Jojo Choolwe Jacobs Rugare Abigail Kangwende Lloyd Machacha Vasco Chikwasha Mooketsi M Molefi Judith Letebele Balekane Sitibi Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa BMJ Global Health |
| title | Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa |
| title_full | Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa |
| title_fullStr | Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa |
| title_full_unstemmed | Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa |
| title_short | Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa |
| title_sort | generating statistics from health facility data the state of routine health information systems in eastern and southern africa |
| url | https://gh.bmj.com/content/4/5/e001849.full |
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