| Literature DB >> 26219955 |
Lixia Dou1, Xiaoyun Liu2, Tuohong Zhang3, Yangfeng Wu4,5,6.
Abstract
BACKGROUND: Population is ageing rapidly and prevalence of cardiovascular diseases is increasing in China. This study aims to examine the patterns of outpatient and inpatient health care utilization across different demographic and socioeconomic groups in older people with cardiovascular disease in China.Entities:
Mesh:
Year: 2015 PMID: 26219955 PMCID: PMC4518585 DOI: 10.1186/s12939-015-0190-y
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Distribution (%) of characteristics, overall and by disease type
| Overall | Hypertension | Angina | Stroke | |
|---|---|---|---|---|
| Characteristics | ( | ( | ( | ( |
| Age (years) | ||||
| 50-59 | 30.2 | 30.2 | 24.7 | 17.3 |
| 60-69 | 33.0 | 32.8 | 33.6 | 33.1 |
| 70-79 | 29.3 | 29.5 | 32.5 | 36.2 |
| 80+ | 7.6 | 7.5 | 9.2 | 13.3 |
| Education | ||||
| Illiterate | 24.6 | 25.0 | 23.3 | 24.2 |
| Primary school or less | 34.5 | 33.9 | 35.0 | 33.8 |
| Secondary school | 20.1 | 20.5 | 20.0 | 20.0 |
| High school or above | 20.8 | 20.6 | 21.6 | 22.0 |
| Gender | ||||
| Male | 43.8 | 43.7 | 37.9 | 54.0 |
| Female | 56.2 | 56.3 | 62.1 | 46.0 |
| Wealth quintile | ||||
| Poorest | 18.0 | 17.5 | 18.1 | 19.1 |
| Q2 | 17.9 | 17.1 | 20.7 | 18.7 |
| Q3 | 20.5 | 20.2 | 23.9 | 20.0 |
| Q4 | 22.2 | 22.6 | 20.3 | 23.6 |
| Richest | 21.4 | 22.7 | 17.0 | 18.7 |
| Residency | ||||
| Urban | 61.3 | 61.6 | 66.8 | 66.9 |
| Rural | 38.7 | 38.4 | 33.2 | 33.1 |
| Health insurance | ||||
| Yes | 86.4 | 86.6 | 83.8 | 86.2 |
| No | 13.6 | 13.4 | 16.2 | 13.8 |
Outpatient and inpatient health care utilization by demographic and socioeconomic characteristics
| Patients | Outpatient care | Inpatient care | |||
|---|---|---|---|---|---|
| n | n(%) | p-value | n(%) | p-value | |
| Total | 4162 | 2284 (54.9 %) | 737 (17.7 %) | ||
| Age groups | |||||
| 50-59 | 1256 | 658 (52.4 %) | 0.010* | 178 (14.2 %) | <0.001 |
| 60-69 | 1372 | 751 (54.7 %) | 221 (16.1 %) | ||
| 70-79 | 1219 | 689 (56.5 %) | 283 (23.2 %) | ||
| 80+ | 315 | 186 (59.0 %) | 55 (17.5 %) | ||
| Education | |||||
| Illiterate | 1025 | 560 (54.6 %) | 0.001 | 195 (19.0 %) | 0.423 |
| Primary school | 1437 | 741 (51.6 %) | 237 (16.5 %) | ||
| Secondary school | 836 | 460 (55.0 %) | 152 (18.2 %) | ||
| High school or above | 864 | 523 (60.5 %) | 153 (17.7 %) | ||
| Gender | |||||
| Male | 1823 | 956 (52.4 %) | 0.005 | 337 (18.5 %) | 0.246 |
| Female | 2339 | 1328 (56.8 %) | 400 (17.1 %) | ||
| Household wealth | |||||
| Poorest | 748 | 333 (44.5 %) | <0.001* | 133 (17.8 %) | 0.700 |
| Q2 | 743 | 360 (48.5 %) | 120 (16.2 %) | ||
| Q3 | 855 | 450 (52.6 %) | 159 (18.6 %) | ||
| Q4 | 925 | 577 (62.4 %) | 171 (18.5 %) | ||
| Richest | 891 | 564 (63.3 %) | 154 (17.3 %) | ||
| Location | |||||
| Urban | 2551 | 1434 (56.2 %) | 0.029 | 456 (17.9 %) | 0.722 |
| Rural | 1611 | 850 (52.8 %) | 281 (17.4 %) | ||
| Health insurance | |||||
| Yes | 3595 | 2049 (57.0 %) | <0.001 | 661 (18.4 %) | 0.004 |
| No | 567 | 235 (41.4 %) | 76 (13.4 %) | ||
*Trend χ 2 test
Fig. 1Average number of outpatient visits by household wealth quintiles
Logistic regression of factors associated with outpatient and inpatient care utilization
| Outpatient care | Inpatient care | |||
|---|---|---|---|---|
| OR (95 % CI) | p-value | OR (95 % CI) | p-value | |
| Age groups | ||||
| 50-59 | 1 | -- | 1 | -- |
| 60-69 | 1.16 (0.99-1.36) | 0.073 | 1.09 (0.87-1.36) | 0.458 |
| 70-79 | 1.26 (1.06-1.51) | 0.008 | 1.65 (1.32-2.08) | <0.001 |
| 80+ | 1.38 (1.05-1.80) | 0.019 | 1.03 (0.72-1.47) | 0.867 |
| Education | ||||
| Illiterate | 1 | -- | 1 | -- |
| Primary school | 0.88 (0.74-1.05) | 0.165 | 0.86 (0.68-1.08) | 0.195 |
| Secondary school | 0.96 (0.77-1.20) | 0.741 | 1.02 (0.77-1.35) | 0.885 |
| High school or above | 1.06 (0.84-1.33) | 0.627 | 0.89 (0.66-1.20) | 0.432 |
| Gender | ||||
| Male | 1 | -- | 1 | -- |
| Female | 1.30 (1.13-1.48) | <0.001 | 0.91 (0.77-1.08) | 0.290 |
| Household wealth | ||||
| Poorest | 1 | -- | 1 | -- |
| Q2 | 1.16 (0.94-1.42) | 0.177 | 0.86 (0.65-1.14) | 0.305 |
| Q3 | 1.34 (1.09-1.65) | 0.006 | 1.04 (0.79-1.36) | 0.802 |
| Q4 | 1.95 (1.58-2.41) | <0.001 | 1.06 (0.81-1.40) | 0.675 |
| Richest | 2.01 (1.61-2.51) | <0.001 | 1.04 (0.78-1.39) | 0.777 |
| Location | ||||
| Urban | 1 | -- | 1 | -- |
| Rural | 1.00 (0.85-1.17) | 0.955 | 1.08 (0.88-1.33) | 0.479 |
| Health insurance | ||||
| Yes | 1 | -- | 1 | -- |
| No | 1.67 (1.37-2.03) | <0.001 | 1.51 (1.14-1.99) | 0.004 |
| Hypertension | ||||
| No | 1 | -- | 1 | -- |
| Yes | 1.40 (1.14-1.72) | 0.001 | 1.22 (0.96-1.55) | 0.098 |
| Angina | ||||
| No | 1 | -- | 1 | -- |
| Yes | 1.05 (0.89-1.24) | 0.558 | 2.07 (1.70-2.51) | <0.001 |
| Stroke | ||||
| No | 1 | -- | 1 | -- |
| Yes | 1.50 (1.21-1.86) | <0.001 | 2.51 (1.99-3.16) | <0.001 |