| Literature DB >> 35232442 |
Xinlan Chen1,2, Dai Su1,2,3, Xinlin Chen1,2, Yingchun Chen4,5.
Abstract
BACKGROUND: Receiving informal care from family members is the mainstream way of care for the elderly in China because of the influence of the culture of filial piety. However, the relationship between informal care and health care use in urban and rural areas needs to be further explored. This study aimed to understand the association between informal care and health care utilisation for the elderly and explore how this effect may differ between urban and rural China.Entities:
Keywords: Health care utilization; Informal care; Rural China
Mesh:
Year: 2022 PMID: 35232442 PMCID: PMC8887010 DOI: 10.1186/s12913-022-07675-2
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Flowchart of participant selection
Definition/codes of the control variables
| Variables | Codes/definition | |
|---|---|---|
| Predisposing Characteristics | Gender | 0 = Male; 1 = Female |
| Age | Continuous variable | |
| Marital statues | 0 = Single; 1 = Partnered | |
| Education | 1 = Illiterate; 2 = Primary school and lower; 3 = Junior middle school; 4 = Senior middle school and higher | |
| Enabling Resources | Medical insurance | 0 = None; 1 = Yes |
| Pension | Whether received any pension or not: 0 = No; 1 = Yes | |
| Financial support from children | Financial support received from children: 0 = None; 1 = 0-2000yuan; 2 = 2000-5000yuan; 3 = 5000-10000yuan; 4 = 10000yuan or more | |
| Smoke | 0 = No; 1 = Yes | |
| Drink | 0 = No; 1 = Yes | |
| Need | Chronic diseases | 0 = None; 1 = Yes |
| Number of ADL limitations | Range from 0 to 6 | |
| Number of IADL limitations | Range from 0 to 6 | |
| Self-rated health | 1 = very good; 2 = good; 3 = fair; 4 = poor; 5 = very poor | |
| Year | 2015; 2018 |
Note: ADL activities of daily living; IADL instrument activities of daily living
Sample characteristics of the selected respondents at baseline
| All ( | Urban( | Rural( | |||||
|---|---|---|---|---|---|---|---|
| mean (min,max) | Sd | mean (min,max) | Sd | mean (min,max) | Sd | ||
| Inpatient | 0.36 (0, 25) | 0.93 | 0.37 (0, 6) | 0.81 | 0.36 (0, 25) | 0.97 | 0.636c |
| Outpatient | 0.46 (0, 31) | 1.49 | 0.41 (0, 18) | 1.36 | 0.48 (0, 31) | 1.54 | 0.079c |
| Informal care | 1.68 (1, 4) | 1.20 | 1.56 (1, 4) | 1.14 | 1.73 (1, 4) | 1.22 | < 0.001a |
| Gender | 0.49 (0, 1) | 0.50 | 0.51 (0, 1) | 0.50 | 0.49 (0, 1) | 0.50 | 0.108a |
| Age | 74.35 (65, 108) | 6.54 | 74.13 (65, 97) | 6.36 | 74.42 (65, 108) | 6.59 | < 0.001b |
| Marital status | 0.49 (0, 1) | 0.50 | 0.53 (0, 1) | 0.50 | 0.48 (0, 1) | 0.50 | 0.004a |
| Education | 1.86 (1, 4) | 0.87 | 2.33 (1, 4) | 1.08 | 1.7 (1, 4) | 0.72 | < 0.001a |
| Chronic diseases | 0.46 (0, 1) | 0.50 | 0.47 (0, 1) | 0.50 | 0.45 (0, 1) | 0.50 | 0.340a |
| Smoke | 0.26 (0, 1) | 0.44 | 0.2 (0, 1) | 0.40 | 0.27 (0, 1) | 0.45 | < 0.001a |
| Drink | 0.29 (0, 1) | 0.46 | 0.3 (0, 1) | 0.46 | 0.29 (0, 1) | 0.45 | 0.442a |
| Medical insurance | 0.92 (0, 1) | 0.26 | 0.94 (0, 1) | 0.24 | 0.92 (0, 1) | 0.27 | 0.042a |
| Number of ADL limitations | 0.62 (0, 6) | 1.19 | 0.44 (0, 6) | 1.02 | 0.68 (0, 6) | 1.24 | < 0.001c |
| Number of IADL limitations | 1.23 (0, 6) | 1.56 | 0.74 (0, 6) | 1.38 | 1.12 (0, 6) | 1.61 | < 0.001c |
| Financial support | 1.37 (0, 1) | 1.25 | 1.27 (0, 1) | 1.37 | 1.41 (0, 1) | 1.20 | < 0.001a |
| Pension | 0.16 (0, 1) | 0.37 | 0.47 (0, 1) | 0.50 | 0.06 (0, 1) | 0.23 | < 0.001a |
| Self-rated health | 3.09 (1, 5) | 0.94 | 2.9 ( 1, 5) | 0.91 | 3.15 (1, 5) | 0.95 | < 0.001c |
Note: Sd standard deviation
aoutcomes of Chi-square test
boutcomes of Student-t test
coutcomes of Wilcoxon rank sum test
Fig. 2Comparison of informal care in urban and rural areas from 2015 to 2018
Association between informal care and health service utilisation: fixed-effect negative binomial model for panel data
| Inpatient ( | Outpatient ( | |||
|---|---|---|---|---|
| IRR | Bootstrap standard error | IRR | Bootstrap standard error | |
| Informal care (reference: None) | ||||
| 1-14d | 1.022 | 0.164 | 1.219 | 0.255 |
| 15-29d | 2.082b | 0.664 | 1.262 | 0.415 |
| 30d or more | 1.396c | 0.175 | 1.374b | 0.189 |
| Gender (reference: male) | 0.583 | 0.202 | 1.044 | 0.263 |
| Age | 1.042b | 0.020 | 0.944c | 0.016 |
| Marital status (reference: single) | 0.632b | 0.125 | 1.290 | 0.234 |
| Education (reference: illiterate) | 1.105 | 0.113 | 1.038 | 0.088 |
| Chronic diseases (reference: None) | 1.399c | 0.109 | 1.111 | 0.085 |
| Smoke (reference: No) | 0.470c | 0.081 | 0.869 | 0.158 |
| Drink (reference: No) | 0.720b | 0.116 | 1.028 | 0.132 |
| Medical insurance (reference: None) | 1.275 | 0.291 | 1.263 | 0.215 |
| Number of ADL limitations | 1.056 | 0.041 | 1.037 | 0.042 |
| Number of IADL limitations | 1.044 | 0.042 | 0.993 | 0.039 |
| Financial support (reference: None) | 1.107b | 0.044 | 0.939 | 0.039 |
| Pension (reference: None) | 0.911 | 0.147 | 1.331a | 0.228 |
| Self-rated health | 1.238c | 0.071 | 1.267c | 0.070 |
| Intercept | 0.026c | 0.036 | 7.624 | 10.204 |
Note: IRR incidence rate ratio
(a), (b), (c) mean significant level at 10%, 5%, 1%, respectively
ADL activities of daily living, IADL instrument activities of daily living
Association between informal care and health service utilisation in urban and rural China: fixed-effect negative binomial model for panel data
| Urban ( | Rural ( | |||
|---|---|---|---|---|
| IRR (Inpatient) | IRR (Outpatient) | IRR (Inpatient) | IRR (Outpatient) | |
| Informal care(reference: None) | ||||
| 1-14d | 0.488 | 3.164a | 1.210 | 1.330 |
| 15-29d | 2.038 | 2.015 | 2.114b | 1.227 |
| 30d or more | 1.208 | 1.804 | 1.532c | 1.500b |
Note: IRR incidence rate ratio. All models have controlled variables, including gender, age, marital status, education, chronic diseases, smoke, drink, medical insurance, number of ADL limitations, number of IADL limitations, financial support, pension and self-rated health. (a), (b), (c) mean significant level at 10%, 5%, 1%, respectively
Association between informal care and health care utilisation in urban and rural China: fixed-effect binary choice model for panel data
| Urban ( | Rural ( | |||
|---|---|---|---|---|
| Inpatient | Outpatient | Inpatient | Outpatient | |
| Informal care(reference: None) | ||||
| 1-14d | -1.375 | 0.96a | 0.248 | 0.404 |
| 15-29d | 1.022 | -0.061 | 1.058b | 0.174 |
| 30d or more | 0.9 | 0.001 | 0.561b | 0.481b |
Note: All models have controlled variables, including gender, age, marital status, education, chronic diseases, smoke, drink, medical insurance, number of ADL limitations, number of IADL limitations, financial support, pension and self-rated health. (a), (b), (c) mean significant level at 10%, 5%, 1%, respectively