Baasandorj, Lkhagvasuren

Now showing 1 - 4 of 4

Some of the metrics are blocked by your
consent settings
Expression of Notch1 in Ameloblastoma and Correlation with CBCT Imaging Subtypes
(Mongolian National University of Medical Sciences, 2023-11-25)
Baoyinbatu Gabiyatu
;
Wenchao Li
;
Wurihan
;
Yuan Tian
;
Lkhagvasuren Baasandorj
Objective: Ameloblastoma (AM) is a prevalent benign odontogenic tumor affecting the jaw bone. Its potential for recurrence and malignant transformation is closely associated with the regulation of signaling pathways. The objective of this study was to examine the expression and clinical significance of Notch1 in AM, along with exploring the correlation between Notch1 expression and AM imaging patterns. Methods: The streptavidin-peroxidase (S-P) immunohistochemical technique was employed to detect the expression of Notch1 protein in the oral mucosa of 70 AM patients and 25 normal controls. Additionally, the preoperative cone-beam computed tomography (CBCT) images of the patients were classified, and the results were analyzed in relation to the expression of Notch1 protein in AM. Results: The positive expression rate of Notch1 in the 70 AM patients was 74.29% (52/70), while the Notch1 expression rate in 26 oral mucosa patients was 19.23% (5/26), indicating a statistically significant difference (P < 0.05). The expression rate of Notch1 was 58.06% in single-room AM and lower in multi-room AM (85.29%) and honeycomb AM (100%) (P < 0.01). However, there was no significant difference in the expression rate of Notch1 between multi-room AM and honeycomb AM (P > 0.05). Conclusion: Notch1 may serve as an important diagnostic indicator in AM, and the apoptosis inhibition ability and cell proliferation ability of single-room AM are lower compared to those of the room and honeycomb types
Some of the metrics are blocked by your
consent settings
What Do We Know about Performance-Based Financing?
(Mongolian National University of Medical Sciences, 2023-03-30)
Lkhagvasuren Baasandorj
;
Battur Lkhagvaa
;
Sarnai Tsagaankhuu
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].
Some of the metrics are blocked by your
consent settings
Characteristics and Percentage of 30 Days All Cause Hospital Readmissions in Mongolia
(Mongolian National University of Medical Sciences, 2023-12-17)
Lkhagvasuren Baasandorj
;
Ankhbayar Altankhuyag
;
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.
Some of the metrics are blocked by your
consent settings
Performance Management in Healthcare: From Key Performance Indicators to Balanced Scorecard
(Mongolian National University of Medical Sciences, 2023-09-30)
Baasandorj, Lkhagvasuren
;
Sukhbaatar, Altantuya

Baasandorj, Lkhagvasuren

Filters

Settings

Sort By

Results per page