Health data ecosystem in Pakistan: a multisectoral qualitative assessment of needs and opportunities.
Health data ecosystem in Pakistan: a multisectoral qualitative assessment of needs and opportunities.
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DOI：
10.1136/bmjopen-2023-071616
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发表时间：
2023-09-21
期刊：
影响因子：
2.9
通讯作者：
Samad, Zainab
中科院分区：
文献类型：
--
作者：
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
数据对于跟踪和监测与卫生相关的可持续发展目标（SDG）的进展至关重要。但中低收入国家分析国家以下各级和细粒度数据的能力有限。尽管巴基斯坦在实现与卫生相关的几个可持续发展目标方面落后，但其卫生信息能力尚处于起步阶段。通过探索性的定性方法，我们旨在了解巴基斯坦健康数据生态系统利益相关者对决策数据的现状和看法。我们采用了探索性定性研究设计。本研究在巴基斯坦卡拉奇的阿加汗大学进行。我们对来自学术界、医院管理层、政府、非政府组织和其他相关私人实体的多学科和多部门利益相关者进行了半结构化、深入的访谈，直到达到主题饱和。对访谈进行了记录和转录，然后使用NVivo进行专题分析。对15次深入访谈的专题分析揭示了三大主题：（1）机构正在收集数据，但在有效利用数据进行决策方面面临障碍。这些问题包括缺乏对需求敏感的数据收集，数据收集工作中缺乏性别/公平，数字化不足，数据可靠性和分析能力有限;（2）为促进健康而共享数据具有开放性和热情;然而，多重障碍阻碍了这一点，包括适当的监管框架，共享数据的平台，互操作性和确定的双赢情景;（3）在人力资本和基础设施领域，利用数据促进健康的能力有限，但有意愿改善这一领域的能力并进行投资。我们的研究确定了重点关注的关键领域，这些领域可以为巴基斯坦的国家健康数据路线图和生态系统做出贡献。
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. We used an exploratory qualitative study design. This study was conducted at the Aga Khan University, Karachi, Pakistan. 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. 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. 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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DOI：
10.1016/s0140-6736(18)32203-7
发表时间：
2018-11-10
期刊：
Lancet (London, England)
影响因子：
--
作者：
GBD 2017 Causes of Death Collaborators
通讯作者：
GBD 2017 Causes of Death Collaborators
影响因子：
3.6
作者：
Naseem M;Akhund R;Arshad H;Ibrahim MT
通讯作者：
Ibrahim MT
DOI：
10.1080/11287462.2018.1441780
发表时间：
2018
期刊：
Global bioethics = Problemi di bioetica
影响因子：
--
作者：
Bezuidenhout L;Chakauya E
通讯作者：
Chakauya E
影响因子：
9.7
作者：
Bates, David W.;Saria, Suchi;Escobar, Gabriel
通讯作者：
Escobar, Gabriel
影响因子：
27.6
作者：
Sachs, Jeffrey D.;Schmidt-Traub, Guido;Rockstroem, Johan
通讯作者：
Rockstroem, Johan