| Literature DB >> 27566677 |
Shu-Wen Weng1,2, Ta-Liang Chen3,4,5, Chun-Chieh Yeh6,7, Chien-Chang Liao1,3,4,5, Hsin-Long Lane8, Jaung-Geng Lin1,9, Chun-Chuan Shih10,11.
Abstract
BACKGROUND: Acupuncture is considered a complementary and alternative medicine in many countries. The purpose of this study was to report the pattern of acupuncture use and associated factors in patients with stroke.Entities:
Keywords: Acupuncture; Complementary and alternative medicine; Stroke; Traditional Chinese medicine; Use
Mesh:
Year: 2016 PMID: 27566677 PMCID: PMC5002127 DOI: 10.1186/s12906-016-1272-0
Source DB: PubMed Journal: BMC Complement Altern Med ISSN: 1472-6882 Impact factor: 3.659
Fig. 1Prevalence of Acupuncture use among stroke patients in Taiwan from 2000–2008 (*Cochran-Armitage Trend Test)
Comparison of sociodemographic characteristics between stroke patients with and without acupuncture treatment in 2000–2008
| Acupuncture use |
| OR | (95 % CI)* | ||||
|---|---|---|---|---|---|---|---|
| No ( | Yes ( | ||||||
| Sex | n | (%) | n | (%) | <0.0001 | ||
| Women | 101,397 | (85.5) | 17,225 | (14.5) | 1.04 | (1.01–1.06) | |
| Men | 140,816 | (84.6) | 25,563 | (15.4) | 1.00 | (reference) | |
| Age, years | <0.0001 | ||||||
| 20–29 | 1819 | (83.1) | 369 | (16.9) | 3.44 | (3.04–3.89) | |
| 30–39 | 5680 | (78.9) | 1517 | (21.1) | 4.05 | (3.77–4.36) | |
| 40–49 | 20,319 | (79.3) | 5298 | (20.7) | 3.79 | (3.60–4.00) | |
| 50–59 | 39,190 | (79.6) | 10,054 | (20.4) | 3.56 | (3.39–3.73) | |
| 60–69 | 58,684 | (82.6) | 12,374 | (17.4) | 3.05 | (2.91–3.18) | |
| 70–79 | 74,891 | (87.8) | 10,424 | (12.2) | 2.04 | (1.95–2.13) | |
| ≥ 80 | 41,630 | (93.8) | 2752 | (6.2) | 1.00 | (reference) | |
| Mean ± SD | 67.4 ± 13.3 | 62.5 ± 12.5 | <0.0001 | ||||
| Income | <0.0001 | ||||||
| Very low | 13,611 | (86.1) | 2203 | (13.9) | 1.00 | (reference) | |
| Low | 71,645 | (85.4) | 12,283 | (14.6) | 1.23 | (1.16–1.30) | |
| Moderate | 42,567 | (84.9) | 7565 | (15.1) | 1.31 | (1.24–1.38) | |
| High | 88,550 | (87.1) | 13,152 | (12.9) | 1.30 | (1.23–1.38) | |
| Very high | 25,840 | (77.3) | 7585 | (22.7) | 1.55 | (1.47–1.65) | |
| Occupation | <0.0001 | ||||||
| White collar | 73,946 | (82.0) | 16,188 | (18.0) | 1.16 | (1.12–1.20) | |
| Blue collar | 115,906 | (86.5) | 18,067 | (13.5) | 1.00 | (reference) | |
| Other | 52,361 | (86.0) | 8533 | (14.0) | 1.06 | (1.02–1.11) | |
| Urbanization | <0.0001 | ||||||
| Low | 17,323 | (90.3) | 1858 | (9.7) | 1.00 | (reference) | |
| Moderate | 93,336 | (87.4) | 13,509 | (12.6) | 1.21 | (1.15–1.28) | |
| High | 131,554 | (82.8) | 27,421 | (17.3) | 1.44 | (1.37–1.52) | |
| Density of TCM | <0.0001 | ||||||
| Low | 64,074 | (88.8) | 8117 | (11.2) | 1.00 | (reference) | |
| Moderate | 121,661 | (84.6) | 22,199 | (15.4) | 1.17 | (1.14–1.21) | |
| High | 56,478 | (81.9) | 12,472 | (18.1) | 1.43 | (1.39–1.48) | |
| Mean ± SD | 1.6 ± 1.2 | 1.8 ± 1.3 | <0.0001 | ||||
*Logistic regression model included sociodemographics and medical conditions; Hosmer-Lemeshow goodness of fit, p-value = 0.0006; c-statistic = 0.71; CI, confidence interval; OR, odds ratio; TCM, traditional Chinese medicine
Medical conditions of stroke patients with and without acupuncture treatment in 2000–2008
| Acupuncture | |||||||
|---|---|---|---|---|---|---|---|
| No ( | Yes ( |
| OR | (95 % CI)* | |||
| Rehabilitation | <0.0001 | ||||||
| No | 166,526 | (90.7) | 17,087 | (9.2) | 1.00 | (reference) | |
| Yes | 75,687 | (74.7) | 25,701 | (25.3) | 3.20 | (3.13–3.27) | |
| Diabetes | <0.0001 | ||||||
| No | 172,698 | (85.2) | 29,983 | (14.8) | 1.00 | (reference) | |
| Yes | 69,515 | (84.4) | 12,805 | (15.6) | 1.00 | (0.98–1.03) | |
| Hypertension | <0.0001 | ||||||
| No | 93,695 | (86.0) | 15,290 | (14.0) | 1.00 | (reference) | |
| Yes | 148,518 | (84.4) | 27,498 | (15.6) | 1.18 | (1.15–1.21) | |
| Hyperlipidemia | <0.0001 | ||||||
| No | 219,658 | (85.4) | 37,503 | (14.6) | 1.00 | (reference) | |
| Yes | 22,555 | (81.0) | 5285 | (19.0) | 1.30 | (1.26–1.35) | |
| MI | <0.0001 | ||||||
| No | 236,962 | (84.9) | 42,037 | (15.1) | 1.18 | (1.09–1.28) | |
| Yes | 5251 | (87.5) | 751 | (12.5) | 1.00 | (reference) | |
| Dialysis | <0.0001 | ||||||
| No | 238,140 | (84.9) | 42,500 | (15.1) | 2.76 | (2.45–3.13) | |
| Yes | 4073 | (93.4) | 288 | (6.6) | 1.00 | (reference) | |
| Type of Stroke | <0.0001 | ||||||
| Hemorrhage | 53,950 | (83.4) | 10,714 | (16.6) | 1.02 | (0.96–1.08) | |
| Ischemia | 173,573 | (85.2) | 30,155 | (14.8) | 1.21 | (1.15–1.28) | |
| Other | 14,690 | (88.5) | 1919 | (11.6) | 1.00 | (reference) | |
| LOS, days | <0.0001 | ||||||
| 1–5 | 84,534 | (87.4) | 12,172 | (12.6) | 1.00 | (reference) | |
| 6–9 | 63,969 | (85.9) | 10,499 | (14.1) | 1.06 | (1.03–1.09) | |
| 10–14 | 34,261 | (83.8) | 6605 | (16.2) | 1.16 | (1.12–1.20) | |
| 15–19 | 16,537 | (82.7) | 3465 | (17.5) | 1.22 | (1.17–1.28) | |
| ≥20 | 43,092 | (81.1) | 10,047 | (18.9) | 1.23 | (1.19–1.27) | |
| Mean ± SD | 12.8 ± 17.5 | 14.9 ± 17.0 | <0.0001 | ||||
*Logistic regression model included sociodemographics and medical conditions; Hosmer-Lemeshow goodness of fit, p-value = 0.001; c-statistic = 0.71; CI, confidence interval; LOS, length of stay; MI, myocardial infarction; OR, odds ratio
Post-stroke visits and expenditure on acupuncture treatment within one year in stroke patients in 2000–2008 by sociodemographics
| Medical visits | Medical expenditure | ||||
|---|---|---|---|---|---|
| n | Mean ± SD |
| Mean ± SD |
| |
| Sex | 0.0155 | 0.0264 | |||
| Women | 17,225 | 6.4 ± 7.7 | 212 ± 258 | ||
| Men | 25,563 | 6.5 ± 7.8 | 219 ± 271 | ||
| Age | 0.0342 | <0.0001 | |||
| 20–29 | 369 | 6.4 ± 7.0 | 219 ± 272 | ||
| 30–39 | 1517 | 6.8 ± 7.8 | 240 ± 302 | ||
| 40–49 | 5298 | 6.7 ± 8.2 | 226 ± 279 | ||
| 50–59 | 10,054 | 6.5 ± 7.7 | 217 ± 267 | ||
| 60–69 | 12,374 | 6.4 ± 7.6 | 210 ± 254 | ||
| 70–79 | 10,424 | 6.4 ± 7.7 | 216 ± 263 | ||
| ≥80 | 2752 | 6.2 ± 7.9 | 208 ± 267 | ||
| Income | <0.0001 | <0.0001 | |||
| Very low | 12,172 | 5.0 ± 6.5 | 168 ± 220 | ||
| Low | 10,499 | 5.7 ± 7.1 | 187 ± 234 | ||
| Moderate | 6605 | 6.7 ± 7.9 | 217 ± 262 | ||
| High | 3465 | 7.6 ± 8.4 | 246 ± 276 | ||
| Very high | 10,047 | 8.5 ± 8.9 | 295 ± 321 | ||
| Occupation | <0.0001 | <0.0001 | |||
| White collar | 16,188 | 6.9 ± 8.0 | 229 ± 276 | ||
| Blue collar | 18,067 | 6.1 ± 7.4 | 203 ± 253 | ||
| Other | 8533 | 6.6 ± 7.9 | 219 ± 269 | ||
| Urbanization | <0.0001 | <0.0001 | |||
| Low | 1858 | 5.2 ± 6.8 | 173 ± 229 | ||
| Moderate | 13,509 | 6.0 ± 7.4 | 202 ± 259 | ||
| High | 27,421 | 6.8 ± 8.0 | 226 ± 270 | ||
| Density TCM | <0.0001 | <0.0001 | |||
| Low | 8117 | 5.9 ± 7.2 | 198 ± 250 | ||
| Moderate | 22,199 | 6.5 ± 7.8 | 215 ± 263 | ||
| High | 12,472 | 6.7 ± 7.9 | 230 ± 279 | ||
TCM, traditional Chinese medicine
Post-stroke visits and expenditure on acupuncture treatment within one year in stroke patients in 2000–2008 by medical condition
| Medical visits | Medical expenditure | ||||
|---|---|---|---|---|---|
| n | Mean ± SD |
| Mean ± SD |
| |
| Rehabilitation | <0.0001 | <0.0001 | |||
| No | 17,087 | 4.8 ± 6.3 | 157 ± 206 | ||
| Yes | 25,701 | 7.6 ± 8.4 | 256 ± 292 | ||
| Diabetes mellitus | 0.02 | 0.01 | |||
| No | 29,983 | 6.5 ± 7.8 | 218 ± 268 | ||
| Yes | 12,805 | 6.3 ± 7.7 | 211 ± 259 | ||
| Hypertension | 0.77 | 0.93 | |||
| No | 15,290 | 6.5 ± 7.8 | 216 ± 269 | ||
| Yes | 27,498 | 6.5 ± 7.7 | 216 ± 263 | ||
| Hyperlipidemia | 0.35 | 0.98 | |||
| No | 37,503 | 6.5 ± 7.8 | 216 ± 266 | ||
| Yes | 5285 | 6.4 ± 7.6 | 216 ± 259 | ||
| MI | 0.14 | 0.15 | |||
| No | 42,037 | 6.5 ± 7.8 | 216 ± 266 | ||
| Yes | 751 | 6.1 ± 7.0 | 204 ± 240 | ||
| Renal dialysis | 0.0002 | <0.0001 | |||
| No | 42,500 | 6.5 ± 7.8 | 217 ± 266 | ||
| Yes | 288 | 5.1 ± 6.1 | 161 ± 220 | ||
| Length of stay, days | <0.0001 | <0.0001 | |||
| 1–5 | 12,172 | 5.0 ± 6.5 | 168 ± 220 | ||
| 6–9 | 10,499 | 5.7 ± 7.1 | 187 ± 234 | ||
| 10–14 | 6605 | 6.7 ± 7.9 | 217 ± 262 | ||
| 15–19 | 3465 | 7.6 ± 8.4 | 246 ± 276 | ||
| ≥20 | 10,047 | 8.5 ± 8.9 | 295 ± 321 | ||
| Type of Stroke | <0.0001 | <0.0001 | |||
| Hemorrhage | 10,714 | 7.4 ± 8.5 | 253 ± 296 | ||
| Ischemia | 30,155 | 6.3 ± 7.5 | 207 ± 256 | ||
| Other | 1919 | 4.7 ± 6.3 | 154 ± 200 | ||
MI, myocardial infarction