ArticlePrimary health care research & development2022
National electronic primary health care database in monitoring performance of primary care in Kyrgyzstan.
Article in Primary health care research & development, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Mapping Quality Indicators in Primary Health Care: A Scoping Review of Contemporary Approaches and Persistent Measurement Gaps.Healthcare (Basel, Switzerland) · 2026Review
- Using implementation science for WHO noncommunicable disease technical packages in low-and middle-income countries: a scoping review.Frontiers in health services · 2026Review
- Primary care reforms in Central Asia - On the path to universal health coverage?Health policy OPEN · 2023Article
- COVID-19 Pandemic Impact on the Maternal Mortality in Kazakhstan and Comparison with the Countries in Central Asia.International journal of environmental research and public health · 2023Article
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Authors and funding
6 authors.
Funding
Abstract
aimThe aim of this study was to assess the feasibility of the national electronic primary health care (PHC) database in Kyrgyzstan in producing information on the disease burden of the patient population and on the processes and quality of care of noncommunicable diseases (NCDs) in PHC.
backgroundStrengthening of the PHC is essential for low- and middle-income countries (LMICs) to tackle the increasing burden of NCDs. Capacity building and quality improvement require timely data on processes and quality of care.
methodsA data extraction was carried out covering four PHC clinics in Bishkek in 2019 to pilot the use of the national data for quality assessment purposes. The data included patient-level information on all appointments in the clinics during the year 2018 and consisted of data of altogether 48 564 patients. Evaluation indicators of the WHO Package of Essential NCD Interventions framework were used to assess the process and outcome indicators of patients with hypertension or diabetes.
findingsThe extracted data enabled the identification of different patient populations and analyses of various process and outcome indicators. The legibility of data was good and the structured database enabled easy data extraction and variable formation on patient level. As an example of process and outcome indicators of those with hypertension, the blood pressure was measured at least on two occasions of 90% of women and 89% of men, and blood pressure control was achieved among 61% of women and 53% of men with hypertension. This study showed that a rather basic system gathering nationally patient-level data to an electronic database can serve as an excellent information source for national authorities. Investments should be made to develop electronic health records and national databases also in LMICs.
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