Cargando…

Perceptions and experiences with district health information system software to collect and utilize health data in Bangladesh: a qualitative exploratory study

BACKGROUND: Accurate and high-quality data are important for improving program effectiveness and informing policy. In 2009 Bangladesh’s health management information system (HMIS) adopted the District Health Information Software, Version 2 (DHIS2) to capture real-time health service utilization data...

Descripción completa

Detalles Bibliográficos
Autores principales: Begum, Tahmina, Khan, Shaan Muberra, Adamou, Bridgit, Ferdous, Jannatul, Parvez, Muhammad Masud, Islam, Mohammad Saiful, Kumkum, Feroza Akhter, Rahman, Aminur, Anwar, Iqbal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249629/
https://www.ncbi.nlm.nih.gov/pubmed/32456706
http://dx.doi.org/10.1186/s12913-020-05322-2
_version_ 1783538624640319488
author Begum, Tahmina
Khan, Shaan Muberra
Adamou, Bridgit
Ferdous, Jannatul
Parvez, Muhammad Masud
Islam, Mohammad Saiful
Kumkum, Feroza Akhter
Rahman, Aminur
Anwar, Iqbal
author_facet Begum, Tahmina
Khan, Shaan Muberra
Adamou, Bridgit
Ferdous, Jannatul
Parvez, Muhammad Masud
Islam, Mohammad Saiful
Kumkum, Feroza Akhter
Rahman, Aminur
Anwar, Iqbal
author_sort Begum, Tahmina
collection PubMed
description BACKGROUND: Accurate and high-quality data are important for improving program effectiveness and informing policy. In 2009 Bangladesh’s health management information system (HMIS) adopted the District Health Information Software, Version 2 (DHIS2) to capture real-time health service utilization data. However, routinely collected data are being underused because of poor data quality and reporting. We aimed to understand the facilitators and barriers to implementing DHIS2 as a way to retrieve meaningful and accurate data for reproductive, maternal, newborn, child, and adolescent health (RMNCAH) services. METHODS: This qualitative study was conducted in two districts of Bangladesh from September 2017 to 2018. Data collection included key informant interviews (n = 11), in-depth interviews (n = 23), and focus group discussions (n = 2). The study participants were involved with DHIS2 implementation from the community level to the national level. The data were analyzed thematically. RESULTS: DHIS2 could improve the timeliness and completeness of data reporting over time. The reported facilitating factors were strong government commitment, extensive donor support, and positive attitudes toward technology among staff. Quality checks and feedback loops at multiple levels of data gathering points are helpful for minimizing data errors. Introducing a dashboard makes DHIS2 compatible to use as a monitoring tool. Barriers to effective DHIS2 implementation were lack of human resources, slow Internet connectivity, frequent changes to DHIS2 versions, and maintaining both manual and electronic system side-by-side. The data in DHIS2 remains incomplete because it does not capture data from private health facilities. Having two parallel HMIS reporting the same RMNCAH indicators threatens data quality and increases the reporting workload. CONCLUSION: The overall insights from this study are expected to contribute to the development of effective strategies for successful DHIS2 implementation and building a responsive HMIS. Focused strategic direction is needed to sustain the achievements of digital data culture. Periodic refresher trainings, incentives for increased performance, and an automated single reporting system for multiple stakeholders could make the system more user-friendly. A national electronic health strategy and implementation framework can facilitate creating a culture of DHIS2 use for planning, setting priorities, and decision making among stakeholder groups.
format Online
Article
Text
id pubmed-7249629
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-72496292020-06-04 Perceptions and experiences with district health information system software to collect and utilize health data in Bangladesh: a qualitative exploratory study Begum, Tahmina Khan, Shaan Muberra Adamou, Bridgit Ferdous, Jannatul Parvez, Muhammad Masud Islam, Mohammad Saiful Kumkum, Feroza Akhter Rahman, Aminur Anwar, Iqbal BMC Health Serv Res Research Article BACKGROUND: Accurate and high-quality data are important for improving program effectiveness and informing policy. In 2009 Bangladesh’s health management information system (HMIS) adopted the District Health Information Software, Version 2 (DHIS2) to capture real-time health service utilization data. However, routinely collected data are being underused because of poor data quality and reporting. We aimed to understand the facilitators and barriers to implementing DHIS2 as a way to retrieve meaningful and accurate data for reproductive, maternal, newborn, child, and adolescent health (RMNCAH) services. METHODS: This qualitative study was conducted in two districts of Bangladesh from September 2017 to 2018. Data collection included key informant interviews (n = 11), in-depth interviews (n = 23), and focus group discussions (n = 2). The study participants were involved with DHIS2 implementation from the community level to the national level. The data were analyzed thematically. RESULTS: DHIS2 could improve the timeliness and completeness of data reporting over time. The reported facilitating factors were strong government commitment, extensive donor support, and positive attitudes toward technology among staff. Quality checks and feedback loops at multiple levels of data gathering points are helpful for minimizing data errors. Introducing a dashboard makes DHIS2 compatible to use as a monitoring tool. Barriers to effective DHIS2 implementation were lack of human resources, slow Internet connectivity, frequent changes to DHIS2 versions, and maintaining both manual and electronic system side-by-side. The data in DHIS2 remains incomplete because it does not capture data from private health facilities. Having two parallel HMIS reporting the same RMNCAH indicators threatens data quality and increases the reporting workload. CONCLUSION: The overall insights from this study are expected to contribute to the development of effective strategies for successful DHIS2 implementation and building a responsive HMIS. Focused strategic direction is needed to sustain the achievements of digital data culture. Periodic refresher trainings, incentives for increased performance, and an automated single reporting system for multiple stakeholders could make the system more user-friendly. A national electronic health strategy and implementation framework can facilitate creating a culture of DHIS2 use for planning, setting priorities, and decision making among stakeholder groups. BioMed Central 2020-05-26 /pmc/articles/PMC7249629/ /pubmed/32456706 http://dx.doi.org/10.1186/s12913-020-05322-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Begum, Tahmina
Khan, Shaan Muberra
Adamou, Bridgit
Ferdous, Jannatul
Parvez, Muhammad Masud
Islam, Mohammad Saiful
Kumkum, Feroza Akhter
Rahman, Aminur
Anwar, Iqbal
Perceptions and experiences with district health information system software to collect and utilize health data in Bangladesh: a qualitative exploratory study
title Perceptions and experiences with district health information system software to collect and utilize health data in Bangladesh: a qualitative exploratory study
title_full Perceptions and experiences with district health information system software to collect and utilize health data in Bangladesh: a qualitative exploratory study
title_fullStr Perceptions and experiences with district health information system software to collect and utilize health data in Bangladesh: a qualitative exploratory study
title_full_unstemmed Perceptions and experiences with district health information system software to collect and utilize health data in Bangladesh: a qualitative exploratory study
title_short Perceptions and experiences with district health information system software to collect and utilize health data in Bangladesh: a qualitative exploratory study
title_sort perceptions and experiences with district health information system software to collect and utilize health data in bangladesh: a qualitative exploratory study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249629/
https://www.ncbi.nlm.nih.gov/pubmed/32456706
http://dx.doi.org/10.1186/s12913-020-05322-2
work_keys_str_mv AT begumtahmina perceptionsandexperienceswithdistricthealthinformationsystemsoftwaretocollectandutilizehealthdatainbangladeshaqualitativeexploratorystudy
AT khanshaanmuberra perceptionsandexperienceswithdistricthealthinformationsystemsoftwaretocollectandutilizehealthdatainbangladeshaqualitativeexploratorystudy
AT adamoubridgit perceptionsandexperienceswithdistricthealthinformationsystemsoftwaretocollectandutilizehealthdatainbangladeshaqualitativeexploratorystudy
AT ferdousjannatul perceptionsandexperienceswithdistricthealthinformationsystemsoftwaretocollectandutilizehealthdatainbangladeshaqualitativeexploratorystudy
AT parvezmuhammadmasud perceptionsandexperienceswithdistricthealthinformationsystemsoftwaretocollectandutilizehealthdatainbangladeshaqualitativeexploratorystudy
AT islammohammadsaiful perceptionsandexperienceswithdistricthealthinformationsystemsoftwaretocollectandutilizehealthdatainbangladeshaqualitativeexploratorystudy
AT kumkumferozaakhter perceptionsandexperienceswithdistricthealthinformationsystemsoftwaretocollectandutilizehealthdatainbangladeshaqualitativeexploratorystudy
AT rahmanaminur perceptionsandexperienceswithdistricthealthinformationsystemsoftwaretocollectandutilizehealthdatainbangladeshaqualitativeexploratorystudy
AT anwariqbal perceptionsandexperienceswithdistricthealthinformationsystemsoftwaretocollectandutilizehealthdatainbangladeshaqualitativeexploratorystudy