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.

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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
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article

Determinants Influencing Healthcare Facility Selection and Patient Contentment

Zenodo (CERN European Organization for Nuclear Research)
Iterative Learning Control Systems
article

Determinants Influencing Healthcare Facility Selection and Patient Contentment

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Pondicherry University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 59%
Iterative Learning Control Systems
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Determinants Influencing Healthcare Facility Selection and Patient Contentment · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS