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“We don’t trust all data coming from all facilities”: factors influencing the quality of care network data quality in Ethiopia

Tufa, Asebe Amenu; Gonfa, Geremew; Tesfa, Anene; Getachew, Theodros; Bekele, Desalegn; Dagnaw, Ftalew; Djellouli, Nehla; ... Lemma, Seblewengel; + view all (2023) “We don’t trust all data coming from all facilities”: factors influencing the quality of care network data quality in Ethiopia. Global Health Action , 16 (1) , Article 2279856. 10.1080/16549716.2023.2279856. Green open access

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Abstract

BACKGROUND: Good quality data are a key to quality health care. In 2017, WHO has launched the Quality of Care Network (QCN) to reduce maternal, newborn and stillbirth mortality via learning and sharing networks. Guided by the principle of equity and dignity, the network members agreed to implement the programme in 2017-2021. OBJECTIVE: This paper seeks to explore how QCN has contributed to improving data quality and to identify factors influencing quality of data in Ethiopia. METHODS: We conducted a qualitative study in selected QCN facilities in Ethiopia using key informant interview and observation methods. We interviewed 40 people at national, sub-national and facility levels. Non-participant observations were carried out in four purposively selected health facilities; we accessed monthly reports from 41 QCN learning facilities. A codebook was prepared following a deductive and inductive analytical approach, coded using Nvivo 12 and thematically analysed. RESULTS: There was a general perception that QCN had improved health data documentation and use in the learning facilities, achieved through coaching, learning and building from pre-existing initiatives. QCN also enhanced the data elements available by introducing a broader set of quality indicators. However, the perception of poor data quality persisted. Factors negatively affecting data quality included a lack of integration of QCN data within routine health system activities, the perception that QCN was a pilot, plus a lack of inclusive engagement at different levels. Both individual and system capabilities needed to be strengthened. CONCLUSION: There is evidence of QCN's contribution to improving data awareness. But a lack of inclusive engagement of actors, alignment and limited skill for data collection and analysis continued to affect data quality and use. In the absence of new resources, integration of new data activities within existing routine health information systems emerged as the most important potential action for positive change.

Type: Article
Title: “We don’t trust all data coming from all facilities”: factors influencing the quality of care network data quality in Ethiopia
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/16549716.2023.2279856
Publisher version: https://doi.org/10.1080/16549716.2023.2279856
Language: English
Additional information: © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Keywords: Quality of care network, data learning, data quality, data reliability, data sharing
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Anthropology
URI: https://discovery.ucl.ac.uk/id/eprint/10183061
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