Determinants Influencing Healthcare Facility Selection and Patient Contentment
This study explores the determinants of healthcare facility selection and patient contentment in the Pondicherry district. As healthcare systems become more patient-centered, understanding these factors is crucial for improving service delivery and patient outcomes. Key determinants include accessibility, quality of care, cost, infrastructure, and personal recommendations. Materials and Methods: A descriptive research design was employed, utilizing a structured questionnaire for data collection from patients at private and public hospitals in Pondicherry. A pilot study confirmed the reliability of the instrument, achieving a Cronbach’s Alpha value above 0.8. Stratified random sampling yielded a sample size of 384, with 387 valid responses analyzed using central tendency measures, dispersion, and regression analysis to identify factors affecting patient satisfaction. Results: The study identified that doctor’s qualifications and hospital reputation significantly impact healthcare facility selection, while quality of care and patient experience influence patient contentment. However, hospital facilities and services did not directly affect healthcare facility selection, nor did facility selection influence patient contentment. Conclusion: Improving healthcare services requires addressing doctor qualifications, modernizing facilities, enhancing accessibility, and fostering community engagement. These efforts can lead to better patient satisfaction and healthcare outcomes. Originality: This study provides a nuanced understanding of the determinants of healthcare facility selection and patient contentment, highlighting the importance of specific factors such as doctor qualifications and hospital reputation in influencing patient choices and satisfaction. By focusing on these elements, the research offers valuable insights for enhancing healthcare service delivery and outcomes in the Pondicherry district.
Institutions
- Pondicherry University (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-02
- DOI
- https://doi.org/10.5281/zenodo.14260039
- Primary Topic
- Iterative Learning Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00