Key predictors of satisfaction among gynecological patients in Almaty, Kazakhstan: A multivariate analysis
DOI:
https://doi.org/10.37800/RM.1.2025.472Keywords:
Patient satisfaction, gynecological care, healthcare quality, Principal Component Analysis, regression analysis, KazakhstanAbstract
Relevance: Patient satisfaction is a key indicator of healthcare quality, influencing health outcomes and service efficiency. This study aimed to evaluate the impact of medical and demographic factors on patient satisfaction with gynecological care.
Materials and Methods: A cross-sectional study was conducted in public healthcare facilities in Almaty, Kazakhstan, from January to March 2024. Data were collected using structured questionnaires and hospital records. Principal Component Analysis (PCA) was employed to categorize patients based on satisfaction levels and medical indicators, while regression analysis quantified the impact of key factors on patient satisfaction.
Results: Staff communication and room quality were the most influential factors affecting patient satisfaction. PCA identified four distinct patient clusters, ranging from lowest to highest satisfaction levels. Regression analysis confirmed that staff communication (0.30) and room quality (0.25) had the most substantial impact, followed by diagnostic quality (0.20) and medical supply (0.15).
Conclusion: Improving staff communication and room conditions should be a priority for healthcare facilities, as these factors significantly enhance patient satisfaction.
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