| Autor: |
Toufik Abdul-Rahman, Shankhaneel Ghosh, Lawal Lukman, Gafar B. Bamigbade, Oluwaseyifunmi V. Oladipo, Ogbonna R. Amarachi, Omotayo F. Olanrewaju, Soyemi Toluwalashe, Wireko A. Awuah, Adbdullahi T. Aborode, Ileana Lizano-Jubert, Kholis A. Audah, T.P. Teslyk |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Journal of Infection and Public Health, Vol 16, Iss 10, Pp 1556-1561 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1876-0341 |
| DOI: |
10.1016/j.jiph.2023.07.001 |
| Popis: |
Introduction: Africa bears the largest burden of communicable and non-communicable diseases globally, yet it contributes only about 1 % of global research output, partly because of inaccessibility and low maintenance of medical data. Data is widely recognized as a crucial tool for improvement of population health. Despite the introduction of electronic health data systems in low-and middle-income countries (LMICs) to improve data quality, some LMICs still lack an efficient system to collect and archive data. This study aims to examine the underlying causes of data archive inaccessibility and poor maintenance in LMICS, and to highlight sustainable mitigation measures. Method: Authors conducted a comprehensive search on PubMed, Google scholar, organization websites using the search string “data archive” or “medical data” or “public health statistics” AND “challenges” AND “maintenance” AND “Low Middle Income Countries” or “LMIC”. to Identify relevant studies and reports to be included in our review. All articles related data archive in low and middle income countries were considered without restrictions due to scarcity of data. Result: Medical data archives in LMICs face challenges impacting data quality. Insufficient training, organizational constraints, and limited infrastructure hinder archive maintenance. To improve, support for public datasets, digital literacy, and technology infrastructure is needed. Standardization, cloud solutions, and advanced technologies can enhance data management, while capacity building and training programs are crucial. Conclusion: The creation and maintenance of data archives to facilitate the storage of retrospective datasets is critical to create reliable and consistent data to better equip the development of resilient health systems and surveillance of diseases in LMICs. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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