智力残疾人康复需求与康复服务发展状况Logistic回归分析研究

doi:10.3969/j.issn.1006-9771.2020.05.006

《Chinese Journal of Rehabilitation Theory and Practice》 ›› 2020, Vol. 26 ›› Issue (5): 523-527.doi: 10.3969/j.issn.1006-9771.2020.05.006

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Unmet Needs and Services of Rehabilitation for People with Intellectual Disabilities Using Logistic Regression Analysis

LI An-qiao^1,²,SEHN Zhao-hui^2,^3,^4,⁵,QIU Zhuo-ying^2,^3,⁴(),LI Xin^1,²,LI Lun^2,⁶,WANG Guo-xiang^2,⁷(),SUN Hong-wei^2,⁸,YANG Jian^2,⁹,MA Hong-zhuo^2,⁸,CHEN Jia-ni^2,^3,^4,⁵,TIAN Bao⁵,WANG Shao-pu¹⁰,TIAN Hong-mei¹,CHENG Zi-wei¹

1. China Key Laboratory of Classification, Evaluation and Rehabilitation (Sport) of Intellectual and Development Disability/School of Physical Education (Main Campus), Zhengzhou University, Zhengzhou, Henan 450001, China
2. WHO-FIC Collaborating Center in China, Beijing 100068, China
3. Research Institute of Rehabilitation Information, China Rehabilitation Research Center, Beijing 100068, China
4. Research Institute of Rehabilitation Information, China Rehabilitation Sciences Institute, Beijing 100068, China
5. School of Psychology, Capital Normal University, Beijing 100037, China
6. Shenzhen Disabled Persons’ Federation, Shenzhen, Guangdong 518008, China
7. School of Physical Education and Sport Sciences, Research Center of Sport Rehabilitation, Soochow University, Suzhou, Jiangsu 215021, China
8. China Academy of ICF/Weifang Medical University, Weifang, Shandong 261053, China
9. College of Physical Education and Health/Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai 200241, China
10. Guangdong Vocational Institute of Sports, Guangzhou, Guangdong 510000, China

Received:2020-04-30 Published:2020-05-25 Online:2020-05-29
Contact: QIU Zhuo-ying,WANG Guo-xiang E-mail:qiutiger@hotmail.com;kwang63@163.com
Supported by:
National Special Fund Projects of Basic Research of Public Benefits for Institutes at Central Governmental Level (Leading Project of Major Scientific Research)(2017CZ-7);National Special Fund Projects of Basic Research of Public Benefits for Institutes at Central Governmental Level (Leading Project of Major Scientific Research)(2018CZ-4)

Abstract

Abstract:

Objective To analyze the characteristics of unmet needs and services of rehabilitation for people with intellectual disability (PIDs).Methods A total of 250 654 PIDs had been sampled and administration data of unmet needs and services of rehabilitation at provincial level had been analyzed the characteristics of unmet needs and services of rehabilitation, and the related factors of needs and services were analyzed with Logistic Regression.Results The rate of unmet needs reported by PIDs from high to low were nursing (47.8%), medicine (37.2%), functional training (26.1%), assistive devices (19.8%) and surgery (1.3%). The PIDs reported received service of rehabilitation, including nursing care (43.5%), medicine (29.3%), functional training (27.2%), assistive devices (19.6%) and surgery (0.8%). Logistic Regression Model showed that age and severity of disabilities significantly affect the reported the unmet needs and received services (P < 0.001). Conclusion PIDs reported unmet needs mainly involved in the fields of nursing care, medicine and rehabilitation training and therapy. The unmet needs and received services had similar structure. It proposed to develop rehabilitation services tailored to PIDs' intellectual function and adaptive behaviors to develop services items and to deliver individualized and precise services.

Key words: intellectual disability, unmet needs of rehabilitation, services of rehabilitation

CLC Number:

LI An-qiao,SEHN Zhao-hui,QIU Zhuo-ying,LI Xin,LI Lun,WANG Guo-xiang,SUN Hong-wei,YANG Jian,MA Hong-zhuo,CHEN Jia-ni,TIAN Bao,WANG Shao-pu,TIAN Hong-mei,CHENG Zi-wei. Unmet Needs and Services of Rehabilitation for People with Intellectual Disabilities Using Logistic Regression Analysis[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2020, 26(5): 523-527.

Figures/Tables 4

References 27

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变量	赋值
性别	男性 = 1,女性 = 2
年龄	0~6岁 = 1,7~18岁 = 2,19~< 60岁 = 3,≥ 60岁 = 4
残疾等级	一级 = 1,二级 = 2,三级 = 3,四级 = 4
户口性质	农业 = 1,非农业 = 2

变量		手术	药物	功能训练	辅助器具	护理
年龄	0~6岁	83(0.2)	717(1.5)	1194(2.4)	475(1.0)	907(1.9)
	7~18岁	212(0.1)	2855(1.1)	3543(1.4)	1765(0.7)	4124(1.6)
	19~< 60岁	277(0.1)	11422(4.6)	6623(2.6)	5471(2.2)	14575(5.8)
	≥ 60岁	64(0.0)	3130(1.2)	1358(0.5)	1955(0.8)	3738(1.5)
性别	男	398(0.8)	10137(20.8)	7689(15.8)	5550(11.4)	13325(27.3)
性别	女	238(0.5)	7987(16.4)	5029(10.3)	4116(8.4)	10019(20.5)
户口性质	农业	549(1.1)	16255(33.3)	10921(22.4)	8734(17.9)	21125(43.3)
户口性质	非农业	87(0.2)	1869(3.8)	1797(3.7)	932(1.9)	2219(4.5)
残疾等级	一级	96(0.2)	2289(4.7)	1808(3.7)	1824(3.7)	4135(8.5)
	二级	334(0.7)	9889(20.3)	6889(14.1)	5319(10.9)	13513(27.7)
	三级	143(0.3)	4185(8.6)	2877(5.9)	1788(3.7)	4135(8.5)
	四级	63(0.1)	1761(3.6)	1144(2.3)	735(1.5)	1561(3.2)
合计		636(1.3)	18124(37.2)	12718(26.1)	9666(19.8)	23344(47.8)

变量		手术	药物	功能训练	辅助器具	护理
年龄	0~6岁	15(0.0)	423(1.1)	841(2.2)	288(0.8)	546(1.4)
	7~18岁	84(0.2)	1597(4.2)	2325(6.1)	1231(3.2)	2889(7.6)
	19~< 60岁	176(0.5)	7211(18.9)	6015(15.7)	4793(12.5)	10661(27.9)
	≥ 60岁	44(0.1)	1969(5.2)	1218(3.2)	1185(3.1)	2531(6.6)
性别	男	200(0.5)	6365(16.7)	6283(16.4)	4361(11.4)	9733(25.5)
性别	女	119(0.3)	4835(12.7)	4116(10.8)	3136(8.2)	6894(18.0)
户口性质	农业	278(0.7)	10165(26.6)	9147(23.9)	6868(18.0)	14897(39.0)
户口性质	非农业	41(0.1)	1035(2.7)	1252(3.3)	629(1.6)	1730(4.5)
残疾等级	一级	44(0.1)	1471(3.9)	1499(3.9)	1525(4.0)	2888(7.6)
	二级	175(0.5)	6167(16.1)	5729(15.0)	4524(11.8)	10005(26.2)
	三级	74(0.2)	2459(6.4)	2231(5.8)	1037(2.7)	2725(7.1)
	四级	26(0.1)	1103(2.9)	940(2.5)	411(1.1)	1009(2.6)
合计		319(0.8)	11200(29.3)	10399(27.2)	7497(19.6)	16627(43.5)

变量(参照变量)	康复需求		康复服务
变量(参照变量)	B	OR	B	OR
性别(女)	-0.029	0.972	0.009	1.009
年龄(≥ 60岁)
0~6岁	0.553^a	1.739	0.413^a	1.511
7~18岁	0.146^b	1.157	0.065^a	1.067
19~< 60岁	-0.166^a	0.847	-0.080^b	0.923
户口性质(非农业)	0.031^a	1.032	0.067^a	1.069
残疾等级(四级)
一级	0.631^a	1.880	0.742^a	2.100
二级	0.446^a	1.562	0.564^a	1.758
三级	0.182^a	1.200	0.172^a	1.188
常量	-1.730	0.177	-2.198	0.111

Unmet Needs and Services of Rehabilitation for People with Intellectual Disabilities Using Logistic Regression Analysis

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