| Literature DB >> 31961912 |
Dawei Zhu1, Xuefeng Shi2,3, Stephen Nicholas4,5,6,7, Ping He1.
Abstract
OBJECTIVE: We aimed to analyze regional disparities of health care resources in traditional Chinese medicine (TCM) county hospitals and their time trends, and to assess the changes of regional disparities before and after 2009 health care reforms.Entities:
Mesh:
Year: 2020 PMID: 31961912 PMCID: PMC6974170 DOI: 10.1371/journal.pone.0227956
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of TCM hospitals, 2004–2016.
| 2004–2011 | 2012–2016 | |||||
|---|---|---|---|---|---|---|
| Eastern Region | Central Region | Western Region | Eastern Region | Central Region | Western Region | |
| Government subsidy (Million Yuan) | 1.10(2.48) | 1.27(2.33) | 1.80(3.37) | 3.90(6.92) | 4.15(5.84) | 6.06(7.80) |
| Average number of TCM hospitals per county | 1.17(0.04) | 1.13(0.02) | 1.08(0.01) | 1.28(0.03) | 1.24(0.06) | 1.21(0.06) |
| Number of medical staff | 133.68(84.40) | 127.35(88.87) | 78.92(59.72) | 184.29(144.66) | 176.74(151.91) | 121.88(107.30) |
| Number of hospital beds | 113.46(77.32) | 107.26(82.95) | 84.44(65.65) | 184.22(147.64) | 191.29(174.49) | 153.31(121.88) |
| Daily visits per doctor | 6.03(4.35) | 4.85(3.78) | 7.29(8.73) | 7.32(5.23) | 5.63(4.63) | 7.44(5.18) |
| Daily inpatient stays per doctor | 1.33(0.97) | 1.42(1.61) | 1.73(1.94) | 2.06(1.21) | 2.43(1.80) | 3.03(2.02) |
| Observations (Hospital-year) | 2622 | 3762 | 4773 | 1859 | 2703 | 3426 |
Fig 1Year-by-year changes in the characteristics of TCM hospitals, 2004–2016.
Estimated average changes in the characteristics of TCM hospitals, 2004–2016.
| Annual change in outcomes | Change in trend of outcomes from previous period | ||||||
|---|---|---|---|---|---|---|---|
| Eastern | Central | Western | Eastern | Central | Western | ||
| Government subsidy (Million Yuan) | 2004–2011 | 0.266(0.032) | 0.287(0.027) | 0.443(0.024) | |||
| 2012–2016 | 0.823(0.066) | 0.831(0.054) | 1.134(0.049) | 0.556(0.089) | 0.544(0.073) | 0.691(0.065) | |
| Average number of TCM hospitals per county | 2004–2011 | 0.016(0.002) | 0.007(0.002) | 0.007(0.002) | |||
| 2012–2016 | 0.014(0.004) | 0.039(0.004) | 0.041(0.004) | -0.002(0.006) | 0.032(0.006) | 0.034(0.006) | |
| Number of medical staff | 2004–2011 | 5.826(0.679) | 6.164(0.567) | 4.977(0.503) | |||
| 2012–2016 | 10.89(1.398) | 9.364(1.151) | 9.086(1.028) | 5.065(1.871) | 3.200(1.549) | 4.109(1.383) | |
| Number of hospital beds | 2004–2011 | 8.884(0.724) | 10.256(0.604) | 9.331(0.536) | |||
| 2012–2016 | 12.860(1.490) | 15.66(1.226) | 11.06(1.096) | 3.979(1.994) | 5.399(1.65) | 1.730(1.474) | |
| Daily visits per doctor | 2004–2011 | 0.238(0.039) | 0.134(0.032) | 0.056(0.029) | |||
| 2012–2016 | 0.062(0.08) | 0.022(0.066) | -0.078(0.059) | -0.176(0.107) | -0.113(0.089) | -0.135(0.079) | |
| Daily inpatient stays per doctor | 2004–2011 | 0.143(0.011) | 0.175(0.009) | 0.236(0.008) | |||
| 2012–2016 | 0.029(0.023) | 0.081(0.019) | 0.088(0.017) | -0.114(0.03) | -0.094(0.025) | -0.147(0.022) | |
Standard errors in parentheses.
*** p<0.001,
** p<0.01,
* p<0.05.
Fig 2Year-by-year changes in the absolute gap in the characteristics of TCM hospitals, 2004–2016.
Trend in absolute gap in the characteristics of TCM hospitals, 2004–2016.
| Annual change in absolute gap | Change in trend of absolute gap from previous period | ||||
|---|---|---|---|---|---|
| Eastern-Western | Central-Western | Eastern-Western | Central-Western | ||
| Government subsidy (Million Yuan) | 2004–2011 | -0.176(0.04) | -0.156(0.036) | ||
| 2012–2016 | -0.311(0.082) | -0.303(0.073) | -0.135(0.11) | -0.147(0.098) | |
| Average number of TCM hospitals per county | 2004–2011 | 0.009(0.003) | 0.000(0.003) | ||
| 2012–2016 | -0.027(0.006) | -0.002(0.006) | -0.036(0.008) | -0.002(0.008) | |
| Number of medical staff | 2004–2011 | 0.849(0.845) | 1.187(0.758) | ||
| 2012–2016 | 1.805(1.736) | 0.278(1.543) | 0.956(2.327) | -0.909(2.076) | |
| Number of hospital beds | 2004–2011 | -0.447(0.901) | 0.925(0.808) | ||
| 2012–2016 | 1.802(1.85) | 4.594(1.645) | 2.249(2.48) | 3.669(2.213) | |
| Daily visits per doctor | 2004–2011 | 0.182(0.048) | 0.078(0.043) | ||
| 2012–2016 | 0.141(0.099) | 0.100(0.088) | -0.041(0.133) | 0.022(0.119) | |
| Daily inpatient stays per doctor | 2004–2011 | -0.093(0.014) | -0.061(0.012) | ||
| 2012–2016 | -0.059(0.028) | -0.007(0.025) | 0.034(0.038) | 0.053(0.034) | |
Standard errors in parentheses.
*** p<0.001,
** p<0.01,
* p<0.05.