Realizing the potential of routinely collected data for monitoring eye health services to help achieve universal health coverage
Author(s) -
Jacqueline Ramke,
Nyawira Mwangi,
Helen Burn,
Esmael Habtamu,
Clare Gilbert
Publication year - 2022
Publication title -
ihope journal of ophthalmology
Language(s) - English
Resource type - Journals
eISSN - 2833-7026
pISSN - 2831-7939
DOI - 10.25259/ihopejo_2_2021
Subject(s) - business , big data , data collection , data quality , universal coverage , banner , health care , data science , environmental health , computer science , service (business) , optometry , health policy , medicine , marketing , geography , data mining , economic growth , statistics , mathematics , archaeology , economics
In the recent World Report on Vision , the World Health Organization (WHO) highlighted the need to strengthen health information systems (HIS) for eye health, including data from population-based surveys and facility-based sources such as service and resource data. The report also outlined the importance of strengthening eye health to enable Universal Health Coverage. In high-income countries, facility-based data are increasingly used to monitor eye services and answer research questions, including under the banner of big data. While there are some examples of comprehensive and robust information systems for eye care in low- and middle-income countries (LMICs), the potential of facility-based data is yet to be realized in many LMICs. Here, we discuss the potential of strengthening the collection and use of facility-based data for eye health in LMICs to monitor Universal Health Coverage relevant aspects of service access, quality, and equity.
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