Regional Disparities of Rehabilitation Resources for Persons with Disabilities in China: Data from 2014 to 2019
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Resources and Regional Division
2.2. Measurements (Indicators)
2.3. Main Analysis Methods
2.3.1. Health Resource Density Index
2.3.2. Theil Index
3. Results
3.1. Trends of Rehabilitation Resource Allocation from 2014 to 2019
3.2. Regional Distribution of Rehabilitation Resources for PDs in 2018
3.3. Regional HRDI of Rehabilitation Resources for PDs in 2018
3.4. Theil Index of Rehabilitation Resources Allocation Based on RPDs
4. Discussion
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Abbreviations
SDGs | Sustainable Development Goals |
PD | Persons with Disabilities |
CRPD | Convention on the Rights of Persons with Disabilities |
CDPF | China Disabled Persons’ Federation |
RPD | Registered Persons with Disabilities |
RI | Rehabilitation Institution |
RSF | Rehabilitation Service Facility |
References
- Disability and Health. Available online: https://www.who.int/news-room/fact-sheets/detail/disability-and-health (accessed on 16 January 2018).
- Noncommunicable Diseases. Available online: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases (accessed on 1 June 2018).
- Global Health and Aging. Available online: https://www.who.int/ageing/publications/global_health.pdf (accessed on 16 December 2019).
- Rehabilitation in Health Systems: Guide for Action. Available online: https://apps.who.int/iris/bitstream/handle/10665/325607/9789241515986-eng.pdf?ua=1 (accessed on 8 May 2020).
- Ohl, M. Health in all policies case studies. Progressing the sustainable development goals through health in all policies: Case studies from around the world, Lin, Vivian Kickbusch, Ilona. Health Promot. J. Aust. 2019, 30, 292. [Google Scholar] [CrossRef]
- United Nations. Policy Brief: A Disability-Inclusive Response to COVID-19; The United Nations: New York, NY, USA, 2020; pp. 1–18.
- Convention on the Rights of Persons with Disabilities (CRPD) Article 25. Available online: https://www.un.org/development/desa/disabilities/convention-on-the-rights-of-persons-with-disabilities/article-25-health.html (accessed on 3 July 2020).
- Hou, X.; Li, S.; Wang, Q. Financial structure and income inequality: Evidence from China. Emerg. Mark. Financ. Trade 2018, 54, 359–376. [Google Scholar] [CrossRef]
- China Economic Net. Zhang Yi: Population Growth Slows and Urbanization Continues to Improve. Available online: http://www.stats.gov.cn/tjsj/zxfb/202001/t20200119_1723767.html (accessed on 1 July 2020).
- Jing, Q.; Qiu, Z.; Ji, L.; Ma, G.; Li, W.; Wang, P.; Sheng, H.; Zheng, W.; Ma, A.; Li, A.; et al. Quantitative and structural analysis of professionals in the institutions affiliated to system of China Disabled Persons’ Federation. Chin. J. Rehabil. Theory Pract. 2018, 24, 975–979. (In Chinese) [Google Scholar]
- Saadi, A.; Kanmanthareddy, A.; Anantha-Narayanan, M.; Hardy, K.; Williams, M.; Alla, V.M. Access to smart devices and utilization of online health resources among older cardiac rehabilitation participants. World J. Cardiol. 2020, 12, 203–209. [Google Scholar] [CrossRef]
- Heine, M.; Lupton-Smith, A.; Pakosh, M.; Grace, S.L.; Derman, W.; Hanekom, S.D. Exercise-based rehabilitation for major non-communicable diseases in low-resource settings: A scoping review. BMJ Global Health 2019, 4, e001833. [Google Scholar] [CrossRef]
- Joshi, M. Rehabilitation in Low-Resource Areas. Phys. Med. Rehabil. Clin. N. Am. 2019, 30, 835–846. [Google Scholar] [CrossRef]
- Wang, N.; Albaroudi, A.; Chen, J. Decomposing urban and rural disparities of preventable ED visits among patients with Alzheimer’s disease and related dementias: Evidence of the availability of health care resources. J. Rural. Health 2020. [Google Scholar] [CrossRef]
- El Arnaout, N.; Chehab, R.F.; Rafii, B.; Alameddine, M. Gender equity in planning, development and management of human resources for health: A scoping review. Hum. Resour. Health 2019, 17, 52. [Google Scholar] [CrossRef] [Green Version]
- Cao, X.; Bai, G.; Cao, C.; Zhou, Y.; Xiong, X.; Huang, J.; Luo, L. Comparing regional distribution equity among doctors in China before and after the 2009 Medical Reform Policy: A data analysis from 2002 to 2017. Int. J. Environ. Res. Public Health 2020, 17, 1520. [Google Scholar] [CrossRef] [Green Version]
- Akbari Sari, A.; Rezaei, S.; Homaie Rad, E.; Dehghanian, N.; Chavehpour, Y. Regional disparity in physical resources in the health sector in Iran: A comparison of two time periods. Iran J. Public Health 2015, 44, 848–854. [Google Scholar]
- Zhu, D.; Shi, X.; Nicholas, S.; He, P. Regional disparities in health care resources in traditional Chinese medicine county hospitals in China. PLoS ONE 2020, 15, e0227956. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ravaghi, V.; Farmer, J.; Quiñonez, C. Persistent but narrowing oral health care inequalities in Canada from 2001 through 2016. J. Am. Dent. Assoc. 2020, 151, 349–357.el. [Google Scholar] [CrossRef] [PubMed]
- Wang, S.; Xu, J.; Jiang, X.; Li, C.; Li, H.; Song, S.; Huang, E.; Meng, Q. Trends in health resource disparities in primary health care institutions in Liaoning Province in Northeast China. Int. J. Equity Health 2018, 17, 178. [Google Scholar] [CrossRef] [PubMed]
- Wang, Y.Y.; Li, Y.Y.; Qin, S.R.; Kong, Y.F.; Yu, X.Y.; Guo, K.Q.; Meng, J.Y. The disequilibrium in the distribution of the primary health workforce among eight economic regions and between rural and urban areas in China. Int. J. Equity Health 2020, 19, 28. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Liu, W.; Liu, Y.; Twum, P.; Li, S. National equity of health resource allocation in China: Data from 2009 to 2013. Int. J. Equity Health 2016, 15, 68. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Camporeale, R.; Caggiani, L.; Fonzone, A.; Ottomanelli, M. Study of the accessibility inequalities of cordon-based pricing strategies using a multimodal Theil index. Transp. Plan. Technol. 2019, 42, 498–514. [Google Scholar] [CrossRef] [Green Version]
- Sarabia, J.M.; Jordá, V.; Remuzgo, L. The Theil indices in parametric families of income distributions: A short review. Rev. Income Wealth 2016, 63, 867–880. [Google Scholar] [CrossRef]
- Liu, X.; Yang, X.; Guo, R. Regional differences in fossil energy-related carbon emissions in China’s eight economic regions: Based on the Theil index and PLS-VIP method. Sustainability 2020, 12, 2576. [Google Scholar] [CrossRef] [Green Version]
- Rój, J. Inequality in the distribution of healthcare human resources in Poland. Sustainability 2020, 12, 2043. [Google Scholar] [CrossRef] [Green Version]
- Zhang, Y.; Wang, Q.; Jiang, T.; Wang, J. Equity and efficiency of primary health care resource allocation in mainland China. Int. J. Equity Health 2018, 17, 140. [Google Scholar] [CrossRef] [Green Version]
- Ying, L.; Fengqing, W.; Qing, W.; Ming, X.; Liping, D. Current situation and training pathway exploration for high-level staff in rehabilitation therapy. Chin. J. Med. Educ. 2019, 39, 207–210. (In Chinese) [Google Scholar]
Year | Registered Persons with Disabilities | RIs for PDs | Staff in RIs | Professionals in RIs | Total Completed Projects of RSFs for PDs | Total Construction Area of Accumulated Projects Completed on RSFs for PDs | Total Investment of Projects Completed on RSFs for PDs | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10,000 Persons | Number | per 10,000 RPDs | Number | per 10,000 RPDs | Number | per 10,000 RPDs | Number | per 100,000 RPDs | 10,000 m2 | m2 per RPDs | 100,000,000 Yuan | Yuan per RPDs | |
2014 b | 2947.0 | 6914 | 2.35 | 233,631 | 79.28 | 160,000 | 54.29 | 613 | 2.08 | 130.01 | 0.04 | 40.38 | 137.02 |
2015 | 3145.7 | 7111 | 2.26 | 232,370 | 73.87 | 159,563 | 50.72 | 682 | 2.17 | 165.65 | 0.05 | 51.27 | 162.98 |
2016 | 3219.4 | 7858 | 2.44 | 222,594 | 69.14 | 149,446 | 46.42 | 762 | 2.37 | 213.40 | 0.07 | 65.70 | 204.08 |
2017 | 3404.0 | 8334 | 2.45 | 245,822 | 72.22 | 164,264 | 48.26 | 833 | 2.45 | 261.40 | 0.08 | 80.80 | 237.37 |
2018 | 3566.2 | 9036 | 2.53 | 250,469 | 70.23 | 176,471 | 49.48 | 914 | 2.56 | 344.90 | 0.10 | 111.20 | 311.82 |
2019 b | 3681.7 | 9775 | 2.66 | 264,000 | 71.71 | 190,000 | 51.61 | 1006 | 2.73 | 414.20 | 0.11 | 132.20 | 359.07 |
Region | Area | RIs for PDs | Staff in RIs | Professionals in RIs | Projects of RSFs for PDs | Construction Area of Projects of RSFs for PDs | Investment of Accumulated Projects of RSFs for PDs |
---|---|---|---|---|---|---|---|
National | 2.53 | 70.23 | 49.48 | 0.26 | 967.24 | 311.69 | |
Eastern | Beijing | 2.41 | 71.76 | 49.28 | 0.57 | 251.38 | 157.31 |
Eastern | Tianjin | 2.64 | 66.10 | 43.23 | 2.97 | 555.42 | 322.99 |
Eastern | Hebei | 2.28 | 66.46 | 47.02 | 0.48 | 306.89 | 90.66 |
Eastern | Liaoning | 3.55 | 91.49 | 64.53 | 1.89 | 932.42 | 224.51 |
Eastern | Shanghai | 18.96 | 158.53 | 83.41 | 0.89 | 1778.26 | 798.96 |
Eastern | Jiangsu | 2.68 | 84.18 | 59.70 | 3.94 | 1523.05 | 608.03 |
Eastern | Zhejiang | 1.62 | 50.70 | 35.10 | 3.15 | 2159.14 | 859.03 |
Eastern | Fujian | 2.96 | 67.51 | 45.80 | 23.68 | 680.43 | 181.08 |
Eastern | Shandong | 2.49 | 98.48 | 76.39 | 4.68 | 2882.29 | 832.23 |
Eastern | Guangdong | 4.75 | 161.04 | 114.65 | 2.98 | 1271.95 | 422.12 |
Eastern | Hainan | 1.91 | 59.69 | 45.40 | 2.24 | 622.05 | 208.19 |
Central | Shanxi | 3.39 | 101.49 | 75.37 | 4.36 | 1198.01 | 328.86 |
Central | Jilin | 3.46 | 131.96 | 85.54 | 1.18 | 464.38 | 185.25 |
Central | Heilongjiang | 2.89 | 62.84 | 45.30 | 0.89 | 646.21 | 189.15 |
Central | Anhui | 1.33 | 32.60 | 25.00 | 1.18 | 690.37 | 247.82 |
Central | Jiangxi | 1.88 | 53.51 | 33.22 | 1.16 | 1065.00 | 187.25 |
Central | Henan | 1.41 | 50.14 | 39.41 | 0.88 | 595.06 | 137.87 |
Central | Hubei | 1.39 | 47.28 | 31.46 | 0.91 | 445.25 | 137.85 |
Central | Hunan | 2.32 | 70.20 | 50.03 | 2.08 | 563.40 | 124.32 |
Western | Inner Mongolia | 2.57 | 61.81 | 39.79 | 2.32 | 1137.30 | 399.03 |
Western | Guangxi | 2.68 | 64.32 | 45.92 | 0.74 | 479.01 | 126.29 |
Western | Chongqing | 3.02 | 84.58 | 56.83 | 1.48 | 926.10 | 346.84 |
Western | Sichuan | 1.01 | 38.57 | 26.02 | 1.67 | 750.78 | 320.68 |
Western | Guizhou | 1.60 | 57.70 | 38.56 | 0.74 | 520.67 | 132.21 |
Western | Yunnan | 1.84 | 49.73 | 34.64 | 0.50 | 306.64 | 85.89 |
Western | Tibet | 0.58 | 6.12 | 3.79 | 12.62 | 2163.99 | 804.14 |
Western | Shaanxi | 2.64 | 92.83 | 69.87 | 2.95 | 643.15 | 192.92 |
Western | Gansu | 1.65 | 39.47 | 27.58 | 2.04 | 1051.00 | 254.01 |
Western | Qinghai | 1.72 | 22.44 | 13.41 | 3.32 | 1875.73 | 752.88 |
Western | Ningxia | 1.27 | 24.05 | 16.54 | 2.55 | 2176.88 | 887.83 |
Western | Xinjiang | 3.15 | 56.71 | 40.00 | 5.68 | 1537.16 | 432.98 |
Region | Area | RIs for PDs | Staff in RIs | Professionals inRIs | Project of RSF for PDs | Construction Area of Accumulated Projects of RSFs for PDs | Investment of Accumulated Projects of RSFs for PDs |
---|---|---|---|---|---|---|---|
National | 9.41 | 260.91 | 183.82 | 0.95 | 3593.08 | 1157.86 | |
Eastern | Beijing | 77.44 | 2301.22 | 1580.49 | 1.83 | 8061.59 | 5044.94 |
Eastern | Tianjin | 74.17 | 1856.67 | 1214.17 | 8.33 | 15600.00 | 9071.67 |
Eastern | Hebei | 22.83 | 665.78 | 471.03 | 0.48 | 3074.21 | 908.16 |
Eastern | Liaoning | 25.41 | 654.19 | 461.42 | 1.35 | 6666.96 | 1605.29 |
Eastern | Shanghai | 1700.00 | 14215.87 | 7479.37 | 7.94 | 159463.49 | 71645.87 |
Eastern | Jiangsu | 40.58 | 1275.84 | 904.76 | 5.97 | 23083.30 | 9215.32 |
Eastern | Zhejiang | 20.24 | 632.02 | 437.52 | 3.93 | 26915.03 | 10708.42 |
Eastern | Fujian | 22.57 | 514.33 | 348.93 | 18.04 | 5183.77 | 1379.54 |
Eastern | Shandong | 35.72 | 1411.72 | 1095.06 | 6.71 | 41316.72 | 11929.78 |
Eastern | Guangdong | 40.79 | 1384.03 | 985.31 | 2.56 | 10931.61 | 3627.86 |
Eastern | Hainan | 9.60 | 300.85 | 228.81 | 1.13 | 3135.31 | 1049.35 |
Central | Shanxi | 20.87 | 624.38 | 463.69 | 2.68 | 7370.64 | 2023.26 |
Central | Jilin | 15.69 | 598.99 | 388.26 | 0.53 | 2107.90 | 840.88 |
Central | Heilongjiang | 6.83 | 148.52 | 107.06 | 0.21 | 1527.40 | 447.08 |
Central | Anhui | 16.92 | 413.99 | 317.56 | 1.50 | 8767.74 | 3147.35 |
Central | Jiangxi | 12.58 | 358.42 | 222.53 | 0.78 | 7134.03 | 1254.34 |
Central | Henan | 23.05 | 822.10 | 646.23 | 1.44 | 9757.31 | 2260.60 |
Central | Hubei | 11.51 | 390.32 | 259.71 | 0.75 | 3675.47 | 1137.95 |
Central | Hunan | 18.93 | 572.29 | 407.84 | 1.70 | 4593.06 | 1013.48 |
Western | Inner Mongolia | 1.78 | 42.83 | 27.57 | 0.16 | 788.12 | 276.52 |
Western | Guangxi | 15.28 | 366.16 | 261.41 | 0.42 | 2726.94 | 718.94 |
Western | Chongqing | 32.16 | 899.88 | 604.61 | 1.58 | 9853.28 | 3690.23 |
Western | Sichuan | 5.72 | 218.27 | 147.26 | 0.95 | 4249.03 | 1814.90 |
Western | Guizhou | 11.01 | 398.07 | 266.00 | 0.51 | 3592.28 | 912.15 |
Western | Yunnan | 6.52 | 175.82 | 122.46 | 0.18 | 1084.14 | 303.66 |
Western | Tibet | 0.05 | 0.51 | 0.32 | 0.11 | 181.46 | 67.43 |
Western | Shaanxi | 17.41 | 612.69 | 461.19 | 1.95 | 4244.99 | 1273.33 |
Western | Gansu | 3.03 | 72.65 | 50.76 | 0.38 | 1934.56 | 467.54 |
Western | Qinghai | 0.43 | 5.61 | 3.35 | 0.08 | 468.75 | 188.15 |
Western | Ningxia | 4.52 | 85.39 | 58.73 | 0.90 | 7728.01 | 3151.84 |
Western | Xinjiang | 1.10 | 19.80 | 13.96 | 0.20 | 536.65 | 151.16 |
Region | Area | RIs for PDs | Staff in RIs | Professionals in RIs | Projects of RSF for PDs | Construction Area of Accumulated Projects of RSFs for PDs | Investment of Accumulated Projects of RSFs for PDs |
---|---|---|---|---|---|---|---|
National | 4.88 | 135.37 | 95.38 | 0.49 | 1864.23 | 600.74 | |
Eastern | Beijing | 13.67 | 406.36 | 279.09 | 1.02 | 1423.55 | 890.86 |
Eastern | Tianjin | 13.99 | 350.33 | 229.10 | 4.97 | 2943.56 | 1711.73 |
Eastern | Hebei | 7.21 | 210.36 | 148.82 | 0.48 | 971.30 | 286.94 |
Eastern | Liaoning | 9.50 | 244.65 | 172.56 | 1.60 | 2493.27 | 600.34 |
Eastern | Shanghai | 179.52 | 1501.21 | 789.83 | 2.65 | 16839.47 | 7565.86 |
Eastern | Jiangsu | 10.42 | 327.72 | 232.40 | 4.85 | 5929.34 | 2367.11 |
Eastern | Zhejiang | 5.73 | 179.01 | 123.92 | 3.52 | 7623.20 | 3032.97 |
Eastern | Fujian | 8.18 | 186.34 | 126.42 | 20.67 | 1878.08 | 499.81 |
Eastern | Shandong | 9.43 | 372.87 | 289.23 | 5.61 | 10912.69 | 3150.93 |
Eastern | Guangdong | 13.91 | 472.10 | 336.10 | 2.76 | 3728.86 | 1237.49 |
Eastern | Hainan | 4.28 | 134.00 | 101.92 | 1.59 | 1396.54 | 467.41 |
Central | Shanxi | 8.41 | 251.72 | 186.94 | 3.42 | 2971.55 | 815.70 |
Central | Jilin | 7.36 | 281.14 | 182.24 | 0.79 | 989.38 | 394.68 |
Central | Heilongjiang | 4.44 | 96.60 | 69.64 | 0.43 | 993.49 | 290.80 |
Central | Anhui | 4.75 | 116.17 | 89.11 | 1.33 | 2460.29 | 883.17 |
Central | Jiangxi | 4.86 | 138.48 | 85.98 | 0.95 | 2756.40 | 484.64 |
Central | Henan | 5.69 | 203.02 | 159.59 | 1.12 | 2409.61 | 558.27 |
Central | Hubei | 4.01 | 135.85 | 90.39 | 0.83 | 1279.25 | 396.06 |
Central | Hunan | 6.63 | 200.43 | 142.84 | 1.88 | 1608.64 | 354.95 |
Western | Inner Mongolia | 2.14 | 51.45 | 33.12 | 0.61 | 946.75 | 332.17 |
Western | Guangxi | 6.40 | 153.47 | 109.56 | 0.56 | 1142.91 | 301.32 |
Western | Chongqing | 9.86 | 275.88 | 185.36 | 1.53 | 3020.78 | 1131.34 |
Western | Sichuan | 2.40 | 91.75 | 61.90 | 1.26 | 1786.08 | 762.89 |
Western | Guizhou | 4.19 | 151.55 | 101.27 | 0.61 | 1367.63 | 347.26 |
Western | Yunnan | 3.47 | 93.51 | 65.13 | 0.30 | 576.58 | 161.50 |
Western | Tibet | 0.17 | 1.77 | 1.10 | 1.16 | 626.63 | 232.86 |
Western | Shaanxi | 6.78 | 238.49 | 179.51 | 2.39 | 1652.32 | 495.63 |
Western | Gansu | 2.23 | 53.55 | 37.42 | 0.88 | 1425.91 | 344.61 |
Western | Qinghai | 0.86 | 11.22 | 6.70 | 0.53 | 937.68 | 376.37 |
Western | Ningxia | 2.40 | 45.32 | 31.17 | 1.52 | 4101.58 | 1672.81 |
Western | Xinjiang | 1.86 | 33.51 | 23.63 | 1.06 | 908.25 | 255.83 |
Rehabilitation Resource | Year | Theil Index | Within-Group | Between-Group |
---|---|---|---|---|
RIs for PDs | 2016 | 0.1795 | 65.90% | 34.10% |
2017 | 0.1529 | 69.66% | 30.34% | |
2018 | 0.1532 | 74.29% | 25.71% | |
Staff in RIs | 2016 | 0.0921 | 68.75% | 31.25% |
2017 | 0.0800 | 70.00% | 30.00% | |
2018 | 0.0921 | 74.64% | 25.36% | |
Professionals in RIs | 2016 | 0.1016 | 68.75% | 31.25% |
2017 | 0.0825 | 70.00% | 30.00% | |
2018 | 0.0923 | 74.64% | 25.36% | |
Projects of RSFs for PDs | 2017 | 0.5454 | 71.73% | 28.27% |
2018 | 0.4275 | 72.75% | 27.25% | |
Construction area of completed projects of RSFs for PDs | 2017 | 0.3388 | 68.09% | 31.91% |
2018 | 0.1980 | 72.39% | 27.61% | |
Investment of completed projects of RSFs for PDs | 2017 | 0.4213 | 70.68% | 29.32% |
2018 | 0.2471 | 66.51% | 33.49% |
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Share and Cite
Jing, Q.; Tang, Q.; Sun, M.; Li, X.; Chen, G.; Lu, J. Regional Disparities of Rehabilitation Resources for Persons with Disabilities in China: Data from 2014 to 2019. Int. J. Environ. Res. Public Health 2020, 17, 7319. https://doi.org/10.3390/ijerph17197319
Jing Q, Tang Q, Sun M, Li X, Chen G, Lu J. Regional Disparities of Rehabilitation Resources for Persons with Disabilities in China: Data from 2014 to 2019. International Journal of Environmental Research and Public Health. 2020; 17(19):7319. https://doi.org/10.3390/ijerph17197319
Chicago/Turabian StyleJing, Qi, Qi Tang, Mei Sun, Xiaohong Li, Gang Chen, and Jun Lu. 2020. "Regional Disparities of Rehabilitation Resources for Persons with Disabilities in China: Data from 2014 to 2019" International Journal of Environmental Research and Public Health 17, no. 19: 7319. https://doi.org/10.3390/ijerph17197319