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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004252naa a2200757 4500
001oai:prod.swepub.kib.ki.se:148429167
003SwePub
008240829s2021 | |||||||||||000 ||eng|
024a http://kipublications.ki.se/Default.aspx?queryparsed=id:1484291672 URI
024a https://doi.org/10.1136/bmjopen-2021-0503562 DOI
040 a (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Adane, A4 aut
2451 0a Exploring data quality and use of the routine health information system in Ethiopia: a mixed-methods study
264 c 2021-12-23
264 1b BMJ,c 2021
520 a A routine health information system (RHIS) enables decision making in the healthcare system. We aimed to analyse data quality at the district and regional level and explore factors and perceptions affecting the quality and use of routine data.DesignThis was a mixed-methods study. We used the WHO toolkit for analysing data quality and interviewed staff at the point of data generation and along with the flow of data. Data were analysed using the Performance of Routine Information System Management framework.SettingThis study was performed in eight districts in four regions of Ethiopia. The study was nested within a 2-year programme of the Operational Research and Coaching for government Analysts.ParticipantsWe visited 45 health posts, 1 district hospital, 16 health centres and 8 district offices for analysis of routine RHIS data and interviewed 117 staff members for the qualitative assessment.Outcome measuresWe assessed availability of source documents, completeness, timeliness and accuracy of reporting of routine data, and explored data quality and use perceptions.ResultsThere was variable quality of both indicator and data element. Data on maternal health and immunisation were of higher quality than data on child nutrition. Issues ranged from simple organisational factors, such as availability of register books, to intricate technical issues, like complexity of indicators and choice of denominators based on population estimates. Respondents showed knowledge of the reporting procedures, but also demonstrated limited skills, lack of supportive supervision and reporting to please the next level. We saw limited examples of the use of data by the staff who were responsible for data reporting.ConclusionWe identified important organisational, technical, behavioural and process factors that need further attention to improve the quality and use of RHIS data in Ethiopia.
700a Adege, TM4 aut
700a Ahmed, MM4 aut
700a Anteneh, HA4 aut
700a Ayalew, ES4 aut
700a Berhanu, D4 aut
700a Berhanu, N4 aut
700a Getnet, M4 aut
700a Bishaw, T4 aut
700a Busza, J4 aut
700a Cherinet, E4 aut
700a Dereje, M4 aut
700a Desta, TH4 aut
700a Dibabe, A4 aut
700a Firew, HS4 aut
700a Gebrehiwot, F4 aut
700a Gebreyohannes, E4 aut
700a Gella, Z4 aut
700a Girma, A4 aut
700a Halefom, Z4 aut
700a Jama, SF4 aut
700a Janson, Au Karolinska Institutet4 aut
700a Kemal, B4 aut
700a Kiflom, A4 aut
700a Mazengiya, YD4 aut
700a Mekete, K4 aut
700a Mengesha, M4 aut
700a Nega, MW4 aut
700a Otoro, IA4 aut
700a Schellenberg, J4 aut
700a Taddele, T4 aut
700a Tefera, G4 aut
700a Teketel, A4 aut
700a Tesfaye, M4 aut
700a Tsegaye, T4 aut
700a Woldesenbet, K4 aut
700a Wondarad, Y4 aut
700a Yusuf, ZM4 aut
700a Zealiyas, K4 aut
700a Zeweli, MH4 aut
700a Persson, LA4 aut
700a Lemma, S4 aut
710a Karolinska Institutet4 org
773t BMJ opend : BMJg 11:12, s. e050356-q 11:12<e050356-x 2044-6055
856u https://bmjopen.bmj.com/content/bmjopen/11/12/e050356.full.pdf
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:148429167
8564 8u https://doi.org/10.1136/bmjopen-2021-050356

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