| Literature DB >> 29720175 |
Zhong Li1, Jian Yang1,2, Yue Wu1, Zijin Pan1, Xiaoqun He1, Boyang Li1, Liang Zhang3.
Abstract
BACKGROUND: China's rapid transition in healthcare service system has posed considerable challenges for the primary care system. Little is known regarding the capacity of township hospitals (THs) to deliver surgical care in rural China with over 600 million lives. We aimed to ascertain its current performance, barriers, and summary lessons for its re-building in central China.Entities:
Keywords: Integrated delivery networks; Pay for performance; Rural China; Surgical capacity; Township hospital
Mesh:
Year: 2018 PMID: 29720175 PMCID: PMC5932883 DOI: 10.1186/s12939-018-0766-4
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Fig. 1Map of the four counties enrolled
Social economic status and other characteristic of sampling counties in 2015
| Characteristic | XI | MC | DY | ZJ |
|---|---|---|---|---|
| Income level | Undeveloped | Undeveloped | developed | developed |
| Number of THs | 21 | 21 | 10 | 8 |
| Annual average per capita disposable income (¥) | 8516.71 | 8080.86 | 15,869.7 | 15,578.88 |
| Number of outpatients | 35,750.43 | 67,369.1 | 51,201.4 | 39,350.13 |
| Number of inpatients | 1578.76 | 2829.86 | 2195.8 | 2480.25 |
| Average time to the THs (min) | 23 | 354 | 33 | 28 |
| Average time to the local People hospital (min) | 46 | 50 | 35 | 49 |
| Average cost of appendicitis per 1000 (¥) | 2312.95 | 1447.99 | 1954.31 | 2980.78 |
| Average cost gap between CLHs and THs of appendicitis (¥) | 819.62 | 1233.86 | 1784.7 | 1449.88 |
| Average number of anesthesiologist per 1000 | 0.81 | 1.52 | 1.1 | 1.38 |
| Average number of surgeon per 1000 | 2.38 | 2.57 | 3 | 2.63 |
Note: Time to the THs and local People hospital using the car was estimated with the Baidu Map
Respondents’ characteristic of the self-administrated questionnaires and semi-structured interviews
| Characteristic | Respondents of the self-administrated questionnaire ( | Respondents of semi-structured interviews ( | |
|---|---|---|---|
| Gender | male | 47 | 6 |
| Age(years) | 44.41 ± 4.70 | 44.56 ± 5.23 | |
| Years practicing as physicians | 24.36 ± 4.79 | 23.57 ± 5.48 | |
| Education | Undergraduate | 27 | 3 |
| College and above | 33 | 4 | |
Variables description
| Variable | Maximum | Minimum | Mean | Std |
|---|---|---|---|---|
| Noapp | 171 | 0 | 17 | 25 |
| size | 3 | 1 | 1.78 | 0.63 |
| income | 18,526 | 2267 | 8447 | 3486 |
| costgap | 3614 | 447 | 1177 | 398 |
| p4p | 1 | 0 | 0.69 | 0.46 |
| Payment | 3 | 1 | 1.8 | 0.55 |
| IDNs | 4 | 1 | 1.63 | 0.93 |
Note: Noapp, the number of appendicitis provided by the township hospitals annually; Size can represent its inpatient and surgical services’ capacity: street township hospitals = 1, ordinary THs = 2, central THs =3; Costgap, the difference between the average out-of-pocket cost of appendicitis in the THs and CLHs; The remuneration of medical staff are linked up with the healthcare services provision in a certain degree. Payment methods were composited with single-disease with abundant quota, single-disease with limited quota, fee for service. IDNs are vigorously promoted by the China government, the sampling THs were clustered as four types based its property right belongings and management form: no integration = 1, tight integration = 2, loose integration = 3, merged integration = 4
Fig. 2Surgical care provision. Note: (a and b) Inpatients care within the three-level facilities in DY and ZJ; (c and d) Inpatients care proportion within the three-level facilities in DY (P < 0.001) and ZJ (P < 0.001); (e and f) Surgical care in the three-level facilities in DY and ZJ; (g) (h) Surgical cares’ proportion among the three-level facilities in DY(P < 0.001) and ZJ (P < 0.001); (i and j) Proportion of inpatients care utilized surgical services within the three-level facilities in DY (P < 0.001) and ZJ (P < 0.001)
Fig. 3Appendectomy care provision. Note: (a-d) Appendectomy care within the three-level facilities in XI, MC, DY and ZJ; (e-h) Appendectomy care proportion within the three-level facilities in XI (P < 0.001), MC (P < 0.001), DY (P = 0.862) and ZJ (P = 0.007)
Self-reported reasons of the 7 township hospitals administrators
| Reasons | Frequency | Percent | Accumulative % |
|---|---|---|---|
| Shortage of anesthesiologist | 7 | 25.00 | 25.00 |
| Shortage of Medical apparatus and instruments | 6 | 21.43 | 46.43 |
| Shortage of surgeon | 4 | 14.29 | 60.72 |
| Shortage of nurse | 4 | 14.29 | 75.01 |
| Shortage of surgical facilities | 3 | 10.71 | 85.72 |
| Shortage of pharmaceutical capacity | 3 | 10.71 | 96.43 |
| Shortage of Inspection equipment | 1 | 3.57 | 100.00 |
Results of the negative binomial regression model
| Independent variable | Random effect model | ||
|---|---|---|---|
| IRR (95% CI) |
| ||
| Income | 0.897 (0.853, 0.943) | < 0.001 | |
| Costgap | 1.000 (1.000, 1.000) | 0.671 | |
| Size | street THs# | ||
| ordinary THs | 0.527 (0.211, 1.316) | 0.170 | |
| central THs | 0.664 (0.256, 1.727) | 0.401 | |
| IDNs | No# | ||
| Tight | 0.484 (0.290, 0.810) | 0.006 | |
| Loose | 1.011 (0.672, 1.522) | 0.956 | |
| Merged | 0.881 (0.319, 2.433) | 0.807 | |
| PRP | No# | ||
| Yes | 2.305 (1.570, 3.384) | < 0.001 | |
| Payment | SDAQ# | ||
| SDLQ | 0.868 (0.731, 1.031) | 0.106 | |
| FFS | 0.939 (0.638, 1.382) | 0.749 | |
| Constant | 23.364 (7.920, 68.921) | ||
| Log likelihood | − 875.77356 | ||
| Wald chi2(9) | 82.57 | ||
| Prob>chi2 | < 0.001 | ||
Note: IRR incidence rate ratio, SDAQ single-disease with abundant quota, SDLQ single-disease with limited quota, #, reference group. According to the Hausman test (chi2(8) =5.00, Prob>chi2 = 0.757), we use the random effect model