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Health data ecosystem in Pakistan: a multisectoral qualitative assessment of needs and opportunities

OBJECTIVE: Data are essential for tracking and monitoring of progress on health-related sustainable development goals (SDGs). But the capacity to analyse subnational and granular data is limited in low and middle-income countries. Although Pakistan lags behind on achieving several health-related SDG...

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Autores principales: Mahmood, Sana, Noorali, Ali Aahil, Manji, Afshan, Afzal, Noreen, Abbas, Saadia, Qamar, Javeria Bilal, Siddiqi, Sameen, Hoodbhoy, Zahra, Virani, Salim S, Bhutta, Zulfiqar A, Samad, Zainab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514666/
https://www.ncbi.nlm.nih.gov/pubmed/37734897
http://dx.doi.org/10.1136/bmjopen-2023-071616
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author Mahmood, Sana
Noorali, Ali Aahil
Manji, Afshan
Afzal, Noreen
Abbas, Saadia
Qamar, Javeria Bilal
Siddiqi, Sameen
Hoodbhoy, Zahra
Virani, Salim S
Bhutta, Zulfiqar A
Samad, Zainab
author_facet Mahmood, Sana
Noorali, Ali Aahil
Manji, Afshan
Afzal, Noreen
Abbas, Saadia
Qamar, Javeria Bilal
Siddiqi, Sameen
Hoodbhoy, Zahra
Virani, Salim S
Bhutta, Zulfiqar A
Samad, Zainab
author_sort Mahmood, Sana
collection PubMed
description OBJECTIVE: Data are essential for tracking and monitoring of progress on health-related sustainable development goals (SDGs). But the capacity to analyse subnational and granular data is limited in low and middle-income countries. Although Pakistan lags behind on achieving several health-related SDGs, its health information capacity is nascent. Through an exploratory qualitative approach, we aimed to understand the current landscape and perceptions on data in decision-making among stakeholders of the health data ecosystem in Pakistan. DESIGN: We used an exploratory qualitative study design. SETTING: This study was conducted at the Aga Khan University, Karachi, Pakistan. PARTICIPANTS: We conducted semistructured, in-depth interviews with multidisciplinary and multisectoral stakeholders from academia, hospital management, government, Non-governmental organisations and other relevant private entities till thematic saturation was achieved. Interviews were recorded and transcribed, followed by thematic analysis using NVivo. RESULTS: Thematic analysis of 15 in-depth interviews revealed three major themes: (1) institutions are collecting data but face barriers to its effective utilisation for decision-making. These include lack of collection of needs-responsive data, lack of a gender/equity in data collection efforts, inadequate digitisation, data reliability and limited analytical ability; (2) there is openness and enthusiasm for sharing data for advancing health; however, multiple barriers hinder this including appropriate regulatory frameworks, platforms for sharing data, interoperability and defined win-win scenarios; (3) there is limited capacity in the area of both human capital and infrastructure, for being able to use data to advance health, but there is appetite to improve and invest in capacity in this area. CONCLUSIONS: Our study identified key areas of focus that can contribute to orient a national health data roadmap and ecosystem in Pakistan.
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spelling pubmed-105146662023-09-23 Health data ecosystem in Pakistan: a multisectoral qualitative assessment of needs and opportunities Mahmood, Sana Noorali, Ali Aahil Manji, Afshan Afzal, Noreen Abbas, Saadia Qamar, Javeria Bilal Siddiqi, Sameen Hoodbhoy, Zahra Virani, Salim S Bhutta, Zulfiqar A Samad, Zainab BMJ Open Public Health OBJECTIVE: Data are essential for tracking and monitoring of progress on health-related sustainable development goals (SDGs). But the capacity to analyse subnational and granular data is limited in low and middle-income countries. Although Pakistan lags behind on achieving several health-related SDGs, its health information capacity is nascent. Through an exploratory qualitative approach, we aimed to understand the current landscape and perceptions on data in decision-making among stakeholders of the health data ecosystem in Pakistan. DESIGN: We used an exploratory qualitative study design. SETTING: This study was conducted at the Aga Khan University, Karachi, Pakistan. PARTICIPANTS: We conducted semistructured, in-depth interviews with multidisciplinary and multisectoral stakeholders from academia, hospital management, government, Non-governmental organisations and other relevant private entities till thematic saturation was achieved. Interviews were recorded and transcribed, followed by thematic analysis using NVivo. RESULTS: Thematic analysis of 15 in-depth interviews revealed three major themes: (1) institutions are collecting data but face barriers to its effective utilisation for decision-making. These include lack of collection of needs-responsive data, lack of a gender/equity in data collection efforts, inadequate digitisation, data reliability and limited analytical ability; (2) there is openness and enthusiasm for sharing data for advancing health; however, multiple barriers hinder this including appropriate regulatory frameworks, platforms for sharing data, interoperability and defined win-win scenarios; (3) there is limited capacity in the area of both human capital and infrastructure, for being able to use data to advance health, but there is appetite to improve and invest in capacity in this area. CONCLUSIONS: Our study identified key areas of focus that can contribute to orient a national health data roadmap and ecosystem in Pakistan. BMJ Publishing Group 2023-09-21 /pmc/articles/PMC10514666/ /pubmed/37734897 http://dx.doi.org/10.1136/bmjopen-2023-071616 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Public Health
Mahmood, Sana
Noorali, Ali Aahil
Manji, Afshan
Afzal, Noreen
Abbas, Saadia
Qamar, Javeria Bilal
Siddiqi, Sameen
Hoodbhoy, Zahra
Virani, Salim S
Bhutta, Zulfiqar A
Samad, Zainab
Health data ecosystem in Pakistan: a multisectoral qualitative assessment of needs and opportunities
title Health data ecosystem in Pakistan: a multisectoral qualitative assessment of needs and opportunities
title_full Health data ecosystem in Pakistan: a multisectoral qualitative assessment of needs and opportunities
title_fullStr Health data ecosystem in Pakistan: a multisectoral qualitative assessment of needs and opportunities
title_full_unstemmed Health data ecosystem in Pakistan: a multisectoral qualitative assessment of needs and opportunities
title_short Health data ecosystem in Pakistan: a multisectoral qualitative assessment of needs and opportunities
title_sort health data ecosystem in pakistan: a multisectoral qualitative assessment of needs and opportunities
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514666/
https://www.ncbi.nlm.nih.gov/pubmed/37734897
http://dx.doi.org/10.1136/bmjopen-2023-071616
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