STATISTICAL METHODS TO IMPROVE THE QUALITY ASSESSMENT OF CLINICAL AUDIT RESULTS

Autor: Zoriana Mysak, Taras Gutor, Andriy Zimenkovsky
Rok vydání: 2022
Předmět:
Zdroj: Acta Medica Leopoliensia. 28:9-21
ISSN: 2415-3303
1029-4244
DOI: 10.25040/aml2022.3-4.009
Popis: The research aims at improving the quality assessment of clinical audit results in Ukraine using the complex of statistical methods and studying statistical methods in foreign reports of the clinical audit and personal experience. Materials and Methods. The research was performed by analyzing the reports of clinical audit (n=62), held during 2021 by the Healthcare Quality Improvement Partnership. The spectrum of statistical methods was extended by the analysis of the example of a sociological survey of patients (n=405) regarding the quality assessment of medical care. The methods applied in the current study included systemic approach and analysis, structural and logical analysis, correlation and regressive analysis, calculation of relative values. Results and Discussion. All 100% clinical audit reports, carried out by the Healthcare Quality Improvement Partnership were based on the results of the statistical calculations. The most common method of processing results is the epidemiological statistics (93.5%), ratio of chances/risks (30.6%), probability assessment by Х2 Pearson's method (21.0%). It is noteworthy that for pointing the central tendency almost in half of the cases (46.8 %) the median and the Interquartile Range were used. Complex mathematical methods such as the survival assessment by Kaplan- Meier and method multiple regression were used in 6.5 % та 4.8 % reports, accordingly. Conclusions. Based on our own experience, we suggested implementation of standardization methods, a detailed correlation and regressive analysis, neuro networks and power analysis into the methodology (technique) of the clinical audit. Implementation of spectrum of evidentially substantiated methods of statistical analysis will allow to increase the evidence level and to deepen the statistical analysis of databases when conducting the clinical audit, аnd therefore, the quality assessment of clinical audit results will increase.
Databáze: OpenAIRE
Externí odkaz: