Current status of rehabilitation services and problems in Yunnan Province, Southwest China: a general doctors’ questionnaire-based study

Figures & data

Table 1. Demographic characteristics of the general doctors in community-based hospital.

Classification	Value	Percentage
Age	38.65 ± 8.09
Sex
Female	398	59.40%
Male	272	40.60%
Education degree
Technical school	7	1.04%
College school	626	93.43%
University school	37	5.52%
Practice range
General	357	53.28%
Rehabilitation	6	0.90%
Traditional	37	5.52%
Acupuncture	8	1.19%
Internal	110	16.42%
Surgical	55	8.21%
Other range	97	14.48%
Major
Internal medical	438	65.37%
General medical	129	19.25%
Other	83	12.39%
Qualification
Yes	637	95.07%
No	33	4.93%
Job title
Physician assistant	176	26.27%
Primary	264	39.40%
Midlevel	143	21.34%
Senior	87	12.99%
Proactively requested rehabilitation therapy
Some of patients	323	48.21%
Very few	137	20.45%
None	210	31.34%
Approached patients per month	564.31 ± 873.41

Table 2. Factor loading matrix after rotation in the general doctor’s questionnaire.

Factor		Item	Factor 1	Factor 2	Factor 3	Factor 4
Common disease	D2	Sequelae of brain damage	0.816	0.023	0.142	0.043
	D5	Cerebral palsy	0.795	0.091	−0.052	0.071
	D3	Dysplastic disease	0.790	0.109	−0.086	0.035
	D4	Chronic pain	0.780	−0.005	0.272	−0.007
	D1	Trauma	0.780	0.037	0.232	0.033
Objective factors	P4	Low rate of medical insurance reimbursement	0.112	0.775	0.082	−0.065
	P3	Patients cannot afford financial pressure	0.100	0.749	−0.014	−0.117
Subjective factors	P2	Lack of opportunities to enhance professional competence	−0.072	0.575	−0.001	0.256
	P1	Low wages	0.072	0.541	−0.104	0.313
Proactivity	I2	Active referral to the nearby hospital or the rehabilitation department of the superior hospital for treatment	0.061	−0.013	0.877	0.037
	I1	Actively recommend rehabilitation diagnosis and treatment	0.221	0.003	0.828	−0.007
Demand for training	S2	I hope that the guidance of the superior will improve new progress	0.015	0.121	0.048	0.817
	S1	I hope that the guidance of the superior will improve Medical and surgical knowledge	0.099	0.019	−0.003	0.810

D: common disease; S: guidance of the superior; P: problem; I: initiative.

Table 3. Fitting indexes before and after the model modification.

Indexes	x^2	df	p	X^2/df	RMSEA	RMR	GFI	CFI	NFI	TLI
Before modification	85.601	42	.000	2.03	0.039	0.005	0.979	0.979	0.96	0.979
After modification	73.657	46	.006	1.6	0.03	0.008	0.983	0.987	0.966	0.981
Reference standards	–	–	>.05	1–3	<0.05 very good; <0.08 good	<0.05	>0.9	>0.9	>0.9	>0.9

x²: Chi squared; df: degrees of freedom; GFI: goodness of fit index; RMSEA: root mean square error of approximation; RMR: root mean square residual; CFI: comparative fit index; NFI: normed fit index; TLI: Tucker-Lewis index.

Figure 1. SEM path analysis before modification. D: common disease; S: guidance of the superior; P: problem; I: initiative.

Figure 2. SEM path analysis after modification. D: common disease; S: guidance of the superior; P: problem; I: initiative.

Table 4. The different between willing to take on or did not want to take on the role of rehabilitation physician.

Willing to take on the role of rehabilitation physician		Yes (n = 530)	No (n = 140)	p-value
Education degree	Technical school	7	0	.546
	College school	494	132
	University school	29	8
Satisfaction for current job	Dissatisfied	78	30	.002*
	Satisfied	347	98
	Very satisfied	105	12
What is community rehabilitation?	Don’t know about it	16	7	.007*
	Only a little understand	249	83
	Understand	265	50
Understand the support policy for community-based hospital	Yes	270	41	.000*
	No	260	99

*Significant between-group differences in score changes from ‘wanted to take on’ (Yes) to ‘did not want to take on’ (No) the role of a rehabilitation physician.

Data availability statement

The datasets used and/or analyzed for the development of this manuscript are available from the corresponding author on reasonable request.