| Literature DB >> 31752826 |
Carrie H K Yam1, Eliza L Y Wong2, Valerie L H Fung2, Sian M Griffiths2, Eng-Kiong Yeoh2.
Abstract
BACKGROUND: Vouchers are increasingly used as a demand-side subsidy to reduce financial hardship and improve quality of services. Elderly Healthcare Voucher Scheme has been introduced by the Hong Kong Government since 2009 to provide subsidy to elderly aged 65 and above to visit ten different types of private primary care providers for curative, preventive and chronic disease management. Several enhancements have been made over the past few years. This paper (as part of an evaluation study of this unique healthcare voucher scheme) aims to assess the long term impact of the voucher scheme in encouraging the use of primary care services.Entities:
Keywords: Chronic disease; Disease prevention; Preventive care; Voucher
Mesh:
Year: 2019 PMID: 31752826 PMCID: PMC6873583 DOI: 10.1186/s12913-019-4707-8
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Design of Voucher scheme
Characteristics of respondents by year before and after propensity score (PS) matching
| Covariate | Before PS match | After PS match | ||||
|---|---|---|---|---|---|---|
| 2010 | 2016 | 2010 | 2016 | |||
| Gender | ||||||
| Male | 437 (42.6) | 333 (34.2) | < 0.001 | 339 (41.2) | 311 (37.8) | 0.158 |
| Female | 589 (57.4) | 641 (65.8) | 484 (58.8) | 512 (62.2) | ||
| Age | ||||||
| 70–74 | 317 (31) | 293 (30.1) | 0.108 | 259 (31.5) | 248 (30.1) | 0.923 |
| 75–79 | 319 (31.2) | 264 (27.1) | 255 (31) | 254 (30.9) | ||
| 80–84 | 249 (24.3) | 270 (27.7) | 200 (24.3) | 209 (25.4) | ||
| ≥ 85 | 138 (13.5) | 147 (15.1) | 109 (13.2) | 112 (13.6) | ||
| Living districts | ||||||
| HK Islands | 210 (20.5) | 292 (30.1) | < 0.001 | 196 (23.8) | 229 (27.8) | 0.154 |
| Kowloon | 310 (30.2) | 357 (36.8) | 302 (36.7) | 277 (33.7) | ||
| New Territories | 505 (49.3) | 320 (33) | 325 (39.5) | 317 (38.5) | ||
| Social Security Assistance | ||||||
| No | 924 (90.1) | 863 (88.6) | 0.292 | 743 (90.3) | 731 (88.8) | 0.334 |
| Yes | 102 (9.9) | 111 (11.4) | 80 (9.7) | 92 (11.2) | ||
| Medical insurance coverage | ||||||
| No | 944 (93.5) | 913 (95.4) | 0.062 | 769 (93.4) | 780 (94.8) | 0.250 |
| Yes | 66 (6.5) | 44 (4.6) | 54 (6.6) | 43 (5.2) | ||
| Living status | ||||||
| Living with others | 799 (78.3) | 749 (76.9) | 0.467 | 637 (77.4) | 614 (74.6) | 0.184 |
| Living alone | 222 (21.7) | 225 (23.1) | 186 (22.6) | 209 (25.4) | ||
Figures may not add up to total number of respondents because of missing data
Attitudes toward voucher scheme among the matched respondents in 2010 and 2016
| Variable | 2010 ( | 2016 ( | |
|---|---|---|---|
| Whether sufficient information provided on the voucher scheme | |||
| Sufficient | 129 (27.9) | 397 (53.1) | < 0.001 |
| Fair | 143 (31.0) | 218 (29.2) | |
| Insufficient | 190 (41.1) | 132 (17.7) | |
| Whether voucher is convenient to use | |||
| No | 168 (24.3) | 41 (5.1) | < 0.001 |
| Yes | 523 (75.7) | 758 (94.9) | |
| Whether the service coverage of voucher is enough | |||
| No | 218 (41.8) | 133 (18.1) | < 0.001 |
| Yes | 304 (58.2) | 600 (81.9) | |
| Whether the subsidy amount of voucher is enough | |||
| No | 562 (79.8) | 374 (50.5) | < 0.001 |
| Yes | 142 (20.2) | 367 (49.5) | |
| Whether the voucher can encourage the use of health services in private sector | |||
| No | 468 (63.8) | 305 (38.5) | < 0.001 |
| Yes | 266 (36.2) | 488 (61.5) | |
Figures may not add up to total number of respondents since we exclude those saying “don’t know”/"don’t remember” or missing;
P-value indicates the statistical significance of years with each variable
Univariate and multivariate analysis of “Whether the voucher can encourage the use of health services in private sector”
| Univariate Analysis | Multivariate Analysis | ||||||
|---|---|---|---|---|---|---|---|
| Variable | Total | No | Yes | Adjusted Odds ratio (95% CI) | Adjusted Odds ratio (95% CI) | ||
| Sex | |||||||
| Male | 650 (39.5) | 295 (38.2) | 316 (41.9) | 1 | 1 | ||
| Female | 996 (60.5) | 478 (61.8) | 438 (58.1) | 0.81 (0.65–1.00) | 0.052 | 0.78 (0.61–0.98) | 0.032 |
| Age | |||||||
| 70–74 | 507 (30.8) | 225 (29.1) | 248 (32.9) | 1 | 1 | ||
| 75–79 | 509 (30.9) | 239 (30.9) | 242 (32.1) | 0.92 (0.70–1.19) | 0.514 | 0.94 (0.71–1.25) | 0.667 |
| 80–84 | 409 (24.8) | 196 (25.4) | 180 (23.9) | 0.80 (0.60–1.06) | 0.117 | 0.81 (0.60–1.10) | 0.180 |
| ≥ 85 | 221 (13.4) | 113 (14.6) | 84 (11.1) | 0.62 (0.43–0.88) | 0.007 | 0.59 (0.40–0.85) | 0.005 |
| Living districts | |||||||
| HK Islands | 425 (25.8) | 231 (29.9) | 164 (21.8) | 1 | 1 | ||
| Kowloon | 579 (35.2) | 249 (32.2) | 302 (40.1) | 1.92 (1.46–2.54) | < 0.001 | 1.80 (1.34–2.42) | < 0.001 |
| New Territories | 642 (39) | 293 (37.9) | 288 (38.2) | 1.32 (1.00–1.75) | 0.052 | 1.30 (0.96–1.76) | 0.094 |
| Received social security assistance | |||||||
| No | 1474 (89.6) | 708 (91.6) | 657 (87.1) | 1 | 1 | ||
| Yes | 172 (10.4) | 65 (8.4) | 97 (12.9) | 1.55 (1.10–2.20) | 0.013 | 1.36 (0.93–2.01) | 0.114 |
| Had health insurance coverage | |||||||
| No | 1549 (94.1) | 714 (92.4) | 724 (96) | 1 | 1 | ||
| Yes | 97 (5.9) | 59 (7.6) | 30 (4.0) | 0.54 (0.34–0.87) | 0.011 | 0.45 (0.27–0.77) | 0.003 |
| Living status | |||||||
| Living with others | 1251 (76) | 610 (78.9) | 557 (73.9) | 1 | – | ||
| Living alone | 395 (24) | 163 (21.1) | 197 (26.1) | 1.31 (1.02–1.68) | 0.036 | 1.25 (0.94–1.66) | 0.121 |
| Doctor consultation in past one month | |||||||
| No | 479 (29.2) | 210 (27.4) | 233 (30.9) | 1 | – | ||
| Yes | 1160 (70.8) | 557 (72.6) | 520 (69.1) | 0.93 (0.72–1.20) | 0.583 | ||
| Hospitalization in the past one year | |||||||
| No | 1290 (78.9) | 606 (78.8) | 590 (78.9) | 1 | – | ||
| Yes | 344 (21.1) | 163 (21.2) | 158 (21.1) | 0.90 (0.70–1.17) | 0.436 | ||
| Health condition when compared with other people at the same age | |||||||
| Better | 611 (39.1) | 292 (39.9) | 282 (39.4) | 1 | – | ||
| Fair | 736 (47.1) | 350 (47.8) | 325 (45.5) | 0.94 (0.74–1.18) | 0.586 | ||
| Worse | 216 (13.8) | 90 (12.3) | 108 (15.1) | 1.09 (0.78–1.54) | 0.603 | ||
| Had chronic disease | |||||||
| No | 327 (20) | 160 (20.8) | 139 (18.5) | 1 | – | ||
| Yes | 1310 (80) | 608 (79.2) | 612 (81.5) | 0.95 (0.72–1.24) | 0.684 | ||
| Usual source of care (prior to the use of vouchers) | |||||||
| Public doctors only | 446 (29.3) | 238 (32.6) | 185 (26.9) | 1 | 1 | ||
| Private doctors only | 332 (21.8) | 173 (23.7) | 130 (18.9) | 0.95 (0.69–1.3) | 0.752 | 0.95 (0.69–1.32) | 0.778 |
| Both public and private doctors | 743 (48.8) | 320 (43.8) | 373 (54.2) | 1.31 (1.01–1.7) | 0.041 | 1.28 (0.98–1.67) | 0.069 |
Both analyses were adjusted by year and recruitment site
Figures may not add up to total number of respondents since we exclude those saying “don’t know”/"don’t remember” or missing;
P-value in univariate analysis indicates the statistical significance of the outcome measure i.e. whether to encourage private health services use with each independent variable
Only significant variables (except sex and age) in univariate analysis were put into multivariate analysis
Voucher usage among the matched respondents in 2010 and 2016
| Variable | 2010 | 2016 | |
|---|---|---|---|
| Ever use | |||
| No | 497 (63.6) | 43 (5.3) | < 0.001 |
| Yes | 284 (36.4) | 773 (94.7) | |
| | |||
| For acute services* | |||
| No | 51 (18.0) | 65 (9.8) | < 0.001 |
| Yes | 232 (82.0) | 601 (90.2) | |
| For preventive services | |||
| No | 262 (92.6) | 538 (70.3) | < 0.001 |
| Yes | 21 (7.4) | 227 (29.7) | |
| For chronic disease management | |||
| No | 261 (92.2) | 690 (90.9) | 0.503 |
| Yes | 22 (7.8) | 69 (9.1) | |
* Result of 2016 is calculated from Department of Health 2009–2015 data
Figures may not add up to total number of respondents since we exclude those saying “don’t know”/"don’t remember” or missing;
P-value indicates the statistical significance of years with each variable
Perceived usual source of care currently and prior to the use of voucher (2016)
| Usual source of care | Prior to the use of vouchers | Currently | |
|---|---|---|---|
| Public doctors only | 189 (24.7) | 132 (17.2) | < 0.001 |
| Private doctors only | 159 (20.8) | 133 (17.4) | |
| Both public and private doctors | 371 (48.4) | 474 (61.9) | |
| Seldom/never seen doctors | 44 (5.7) | 26 (3.4) | |
| Seeing other healthcare professionals | 3 (0.4) | 1 (0.1) |
Figures may not add up to total number of respondents since we exclude those saying “don’t know”/"don’t remember” or missing;
P-value indicates the statistical significance of years with usual source of care