Даваа–Баасан 08:30–20:00 · Бямба 09:00–16:00
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    What Do We Know about Performance-Based Financing?
    (Mongolian National University of Medical Sciences, 2023-03-30) ; ;
    As in other countries, health financing reform in Mongolia is based on the concept of universal coverage [1]. The Mongolia the Ministry of Finance of Mongolia with the technical assistance of the Asian Development Bank launched the “Health Sector Financing Improvement Project” in 2019-2022. This allows the need to achieve universal health coverage and to provide quality care and services that meet the health demands and needs of the people in an equally accessible way, without incurring financial risks [2,3]. Mongolia’s health care sector financing model has changed from an input-based financing model to an output-oriented model, and implemented the performance-based financing of health care and services as a reform [2]. Universal health coverage (UHC) is a growing policy priority in many countries, as well as a significant and increasing focus of attention at the international level, forming one of the targets of sustainable development goal 3 [4]. Performance‐based financing (PBF) or paying for performance (P4P) has received increased attention as a strategy for improving the performance of healthcare providers, organizations and governments since the early 2010s [5,6]. In PBF people are given money or other rewards if they carry out a particular task or meet a particular target [7]. This is a strategic purchasing mechanism which [8] becomes a common strategy to improve health sector quality [9].
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    Prevalence of major noncommunicable diseases and risk factors by region: Findings from the National Screening
    (Mongolian National University of Medical Sciences, 2025-12-26) ;
    Enkh-Amgalan, Enkhtuguldur
    ;
    ; ;
    Objective: Noncommunicable diseases (NCDs) are the leading causes of morbidity and mortality worldwide, accounting for the majority of premature deaths. Mongolia faces a particularly high burden of cardiovascular diseases, cancers, chronic respiratory diseases, and diabetes, contributing to over 80% of total deaths. This study aimed to examine the prevalence of major NCDs and associated risk factors among the adult population of Mongolia by region. Methods: This study utilized large-scale screening data from the mass screening program of adults aged over 18 years. Results: A total of 447,409 adults were included in the analyses. High prevalence of NCD risk factors was observed, including smoking (16.6-19.1%), alcohol use (5.9-11.7%), physical inactivity (76%–80%), and insufficient fruit and vegetable intake (63%–79%). Regional comparison showed that the Northern region had the highest rates of smoking (19.2%), alcohol use (13.4%), and obesity (24.7%) (p<0.001). In contrast, Ulaanbaatar reported notably higher rates of chronic gastritis and peptic ulcer disease (82.2%–18.5%) compared to other rural regions (p<0.001). Conclusion: NCD risk factors are common across all regions of Mongolia, with clear differences between them. Notably, the urban population has higher rates of stomach and esophageal inflammation and ulcers, likely linked to lifestyle factors and obesity.
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    Characteristics and Percentage of 30 Days All Cause Hospital Readmissions in Mongolia
    (Mongolian National University of Medical Sciences, 2023-12-17) ; ;
    Enkh-Erdene Erdenesaikhan
    ;
    Myagmarsuren Shagdarsuren
    ;
    Garamgai Batdelger
    Objective: This study aimed to estimate the 30 days readmissions and predictors of readmission at selected referral hospitals in Mongolia. Methods: We studied the electronic medical recording database of patients admitted to The State First Central Hospital of Mongolia, The State Second Central Hospital of Mongolia, and The State Third Central Hospital of Mongolia, from January 01, 2023, to June 30, 2023. The Institute for Healthcare Improvement’s Whole system measures white paper adopted the measurement methods for hospital readmission percentages. A descriptive analysis was conducted to calculate the percentage of hospital readmissions. We examined principal diagnoses, length of stay and age and gender are variables. Results: 31,675 hospital discharged data were recorded in hospitals over the 6-month study period. The average readmission percentage across the three hospitals were 1988 (6.3%). Most of the principal diagnosis leading to readmissions were cancer and chronic diseases.Conclusion: The highest hospital readmission rates were observed in patients with cancer and chronic diseases, particularly among individuals aged 46-64 years in the referral hospitals.