What Factors Affect Patient Satisfaction in Public Sector Hospitals: Evidence from an Emerging Economy
Abstract
:1. Introduction
2. Literature Review
2.1. Patient Satisfaction
2.2. Physical Facilities
2.3. Doctor–Patient Relationship
2.4. Laboratory Services
2.5. Pharmacy Services
3. Methodology
3.1. Study Setting
3.2. The Sample
3.3. Data Collection and Instruments
4. Results
4.1. Sociodemographic Characteristics
4.2. Statistical Analysis and Data Interpretation
4.3. Confirmatory Factor Analysis (CFA)
4.4. Hypothesis Testing Using a Multiple Regression Analysis
5. Discussion and Implications
6. Limitations and Future Research
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Population | Area km2 | |
---|---|---|
Punjab Province | 110,012,442 | 205,344 |
Bahawalpur District | 3,668,106 | 24,830 |
Bahawalnagar District | 2,981,919 | 8878 |
Rahim Yar Khan District | 4,814,006 | 11,880 |
Sr. No. | Teaching Hospital | District Hospital (DHQ) | Tehsil Headquarter (THQs) | Rural Health Center (RHCs) | Basic Health Unit (BHUs) |
---|---|---|---|---|---|
1 | 1 | 0 | 4 | 10 | 72 |
2 | 0 | 1 | 4 | 10 | 101 |
3 | 1 | 0 | 3 | 19 | 104 |
2 | 1 | 11 | 29 | 277 |
Characteristics | Frequency | % |
---|---|---|
Gender | ||
Male | 199 | 44.7 |
Female | 246 | 55.3 |
Age | ||
Less than 20 | 36 | 8.1 |
20 to 29 | 53 | 11.9 |
30 to 39 | 93 | 20.9 |
40 to 49 | 137 | 30.8 |
50 and above | 126 | 28.3 |
Marital status | ||
Married | 243 | 54.6 |
Single | 188 | 42.3 |
Divorced | 12 | 2.7 |
Widow | 2 | 0.4 |
Occupation | ||
Student | 7 | 1.6 |
Government employee | 45 | 10.2 |
House wife | 117 | 26.2 |
Laborer | 108 | 24.2 |
Agriculture | 43 | 9.7 |
Un-employed | 71 | 16.0 |
Retired | 33 | 7.5 |
Other | 21 | 4.6 |
Education | ||
No formal education | 135 | 30.3 |
Primary/elementary school | 145 | 32.6 |
Secondary/high school | 106 | 23.8 |
College/university | 24 | 5.3 |
Postgraduate | 35 | 8.0 |
Monthly income | ||
Less than PKR 10,000 | 123 | 27.6 |
PKR 10,000 to 14,999 | 103 | 23.2 |
PKR 15,000 to 19,999 | 74 | 16.6 |
PKR 20,000 to 24,999 | 61 | 13.8 |
PKR 25,000 to 29,999 | 47 | 10.5 |
PKR 30,000 or more | 37 | 8.3 |
Variable | Mean | SD | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|---|---|
Patient satisfaction | 3.99 | 0.61 | (0.96) | ||||
Laboratory services | 3.52 | 0.77 | 440 ** | (0.92) | |||
Pharmacy services | 4.15 | 0.66 | 0.445 ** | 0.339 ** | (0.93) | ||
Doctor–patient communication | 2.25 | 0.80 | 0.205 ** | 0.189 ** | 0.230 ** | (0.94) | |
Physical services | 3.02 | 0.89 | 0.269 ** | 0.402 ** | 0.192 ** | 0.253 ** | (0.96) |
CR | AVE | MSV | MAX (H) | PS | PHS | LS | PF | DPC | |
---|---|---|---|---|---|---|---|---|---|
PS | 0.965 | 0.753 | 0.230 | 0.976 | 0.868 | ||||
PHS | 0.934 | 0.639 | 0.230 | 0.939 | 0.479 *** | 0.799 | |||
LS | 0.928 | 0.685 | 0.202 | 0.935 | 0.450 *** | 0.369 *** | 0.827 | ||
PF | 0.964 | 0.844 | 0.148 | 0.984 | 0.267 *** | 0.199 *** | 0.385 *** | 0.919 | |
DPC | 0.942 | 0.804 | 0.063 | 0.974 | 0.220 *** | 0.222 *** | 0.192 *** | 0.251 *** | 0.897 |
Absolute Model Fit Indices | |
---|---|
Chi Square | 780.547 |
DF | 415 |
Chi Square/DF | 1.881 |
Standardized Root Mean Residual (SRMR) | 0.042 |
Comparative Fit Index (CFI) | 0.980 |
Normed Fit Index (NFI) | 0.959 |
Tucker Lewis Index (TLI) | 0.976 |
Relative Fit Index (RFI) | 0.951 |
Incremental Fit Index (IFI) | 0.980 |
Root Mean Square Error of Approximation (RMSEA) | 0.045 |
Construct/Factors | Items | Factor Loadings | Cronbach Alpha |
---|---|---|---|
Patient satisfaction | 0.966 | ||
Ps1 | 0.798 | ||
Ps2 | 0.817 | ||
Ps3 | 0.877 | ||
Ps4 | 0.893 | ||
Ps5 | 0.863 | ||
Ps6 | 0.723 | ||
Ps7 | 0.879 | ||
Ps8 | 0.876 | ||
Ps9 | 0.859 | ||
Pharmacy services | 0.931 | ||
Ph1 | 0.780 | ||
Ph2 | 0.826 | ||
Ph3 | 0.796 | ||
Ph4 | 0.764 | ||
Ph5 | 0.797 | ||
Ph6 | 0.827 | ||
Ph7 | 0.795 | ||
Ph8 | 0.752 | ||
Doctor–patient communication | 0.942 | ||
Dpc1 | 0.937 | ||
Dpc2 | 0.877 | ||
Dpc3 | 0.883 | ||
Dpc4 | 0.926 | ||
Laboratory services | 0.927 | ||
Ls1 | 0.748 | ||
Ls2 | 0.851 | ||
Ls3 | 0.827 | ||
Ls4 | 0.845 | ||
Ls5 | 0.800 | ||
Ls6 | 0.770 | ||
Physical services | 0.968 | ||
PF1 | 0.930 | ||
PF2 | 0.933 | ||
PF3 | 0.883 | ||
PF4 | 0.875 | ||
PF5 | 0.923 |
β Coefficients | 95.0% Confidence Interval for β | Collinearity Statistics | |||||
---|---|---|---|---|---|---|---|
Β | T | Sig. | Lower Bound | Upper Bound | Tolerance | VIF | |
Constant | 9.591 | 0.000 | 1.316 | 1.994 | |||
1. Pharmacy services | 0.287 | 6.328 | 0.000 | 0.158 | 0.300 | 0.766 | 1.306 |
2. Laboratory services | 0.331 | 7.713 | 0.000 | 0.230 | 0.387 | 0.855 | 1.169 |
3. Doctor–patient communication | 0.055 | 1.316 | 0.189 | −0.021 | 0.105 | 0.900 | 1.111 |
4. Physical services | 0.076 | 1.727 | 0.085 | 0-.007 | 0.113 | 0.806 | 1.241 |
Model summary R = 0.555, R2 = 0.308, F = 49.06, p = 0.000, Durbin-Watson (DW) = 2.01 |
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Hussain, A.; Sial, M.S.; Usman, S.M.; Hwang, J.; Jiang, Y.; Shafiq, A. What Factors Affect Patient Satisfaction in Public Sector Hospitals: Evidence from an Emerging Economy. Int. J. Environ. Res. Public Health 2019, 16, 994. https://doi.org/10.3390/ijerph16060994
Hussain A, Sial MS, Usman SM, Hwang J, Jiang Y, Shafiq A. What Factors Affect Patient Satisfaction in Public Sector Hospitals: Evidence from an Emerging Economy. International Journal of Environmental Research and Public Health. 2019; 16(6):994. https://doi.org/10.3390/ijerph16060994
Chicago/Turabian StyleHussain, Abid, Muhammad Safdar Sial, Sardar Muhammad Usman, Jinsoo Hwang, Yushi Jiang, and Awaisra Shafiq. 2019. "What Factors Affect Patient Satisfaction in Public Sector Hospitals: Evidence from an Emerging Economy" International Journal of Environmental Research and Public Health 16, no. 6: 994. https://doi.org/10.3390/ijerph16060994
APA StyleHussain, A., Sial, M. S., Usman, S. M., Hwang, J., Jiang, Y., & Shafiq, A. (2019). What Factors Affect Patient Satisfaction in Public Sector Hospitals: Evidence from an Emerging Economy. International Journal of Environmental Research and Public Health, 16(6), 994. https://doi.org/10.3390/ijerph16060994