What is the long term impact of voucher scheme on primary care? Findings from a repeated cross sectional study using propensity score matching
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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.
Methods
Two rounds of cross-sectional survey among elderly in Hong Kong were conducted in 2010 and 2016. Propensity score matching and analysis were used to compare changes in perception and usage of vouchers over time.
Results
61.5% of respondents in 2016 agreed “the scheme encourages me to use more private primary care services”, a significant increase from 36.2% in 2010. Among those who agreed in 2016, the majority thought the voucher scheme would encourage them to use acute services (90.3%) in the private sector, rather than preventive care (40.3%) and chronic disease management (12.2%). Respondents also reported that their current usual choice of care was visiting “both public and private doctors” (61.9%), representing a significant increase (up from 48.4%) prior to their use of voucher.
Conclusions
The voucher scheme has encouraged the use of more private care services, particularly acute services rather than disease prevention or management of chronic disease. However, there needs to be caution that the untargeted and open-ended nature of voucher scheme could result in supply-induced demand which would affect long term financial sustainability. The dual utilization of health services in both the public and private sector may also compromise continuity and quality of care. The design of the voucher needs to be more specific, targeting prevention and chronic disease management rather than unspecified care which is mainly acute and episodic in order to maximize service delivery capacity as a whole for equitable access in universal health coverage and to contribute to a sustainable financing system.
Keywords
Voucher Preventive care Disease prevention Chronic diseaseBackground
Primary care and private sector role
Aspiration to provide better primary care is the basis of healthcare reform agendas in many countries around the world to deliver better health outcomes and improve efficiency and quality of care [1] and Hong Kong is no exception [2]. The challenge for healthcare systems is to shift from a focus on acute episodic illness and hospital centric systems to a primary care and community based system to meet the needs of the ageing population. Not only is the elderly population growing, the globalization of unhealthy lifestyles has resulted in the rise of long-term chronic conditions and preventable illnesses requiring multiple complex health and social care interventions over many years [3]. This places greater pressure on both primary and secondary care services [4, 5]. New models of primary care services - defined as first access care - are thus increasingly important [6]. In order to address the challenges, health systems around the world are increasingly orienting resources towards primary care and a community-based model of chronic care placing emphasis on better integration of services at both vertical and horizontal levels to improve the continuity and quality of care for frail elderly persons and patients with chronic diseases and to reduce the need for hospital admission [7]. Multiple interventions are needed, including those that target organizational and behavioral changes. Self-management and lifestyle interventions can be supported in primary care community setting which also coordinate the transitions of chronic care with secondary care and long term care. Interventions that change resources, facilities or processes are also necessary in shifting towards more outpatient and ambulatory services through investment in home care, nursing homes and hospices; repurposing hospitals for acute complex care only; and ambulatory facilities for day surgery, chronic facility-based care, and day hospital.
Governments are increasingly recognizing the growing role of the private sector in both financing and providing inpatient, outpatient and ambulatory care [8]. Globally, engaging and interacting with the private sector in initiatives, collectively referred to as public-private partnerships (PPPs), is growing in order to leverage private capacity and promote greater participation from the private sector in health services through different forms of collaboration to enhance the capacity of health systems and services quality [9]. Through creating the public-private partnerships, it aims to create equity by increasing affordability and accessibility of private services among the general population via providing public subsidy or purchasing private services, lessen the burden of the public healthcare sector by reallocating demand in public services to the private market, and improve quality of services through introducing competition. Deber suggests that a range of policy instruments are available to actors or agencies in different health systems to influence private sector engagement in contributing to health system goals such as: exhortation through dissemination of information; taxation which manipulates incentives and disincentives; subsidization of expenditures; regulation through setting rules of behaviors; and public ownership [10]. Vouchers are a form of demand-side subsidy used to encourage behavioral changes with respect to under-utilized services such as preventive care [11, 12, 13]. They have been widely used as a tool to increase the utilization of under-utilized services. Since early 2000, vouchers have been targeted at vulnerable groups to reduce barriers to access in developing countries [14]. For example, vouchers are used for mosquito bed nets for malaria control in Tanzania [15], treatment of sexually transmitted infection for sex workers in Nicaragua [16], and maternal and family planning in Bangladesh [17, 18]. A systematic review of healthcare voucher schemes has demonstrated evidence that health voucher programs have been successful in increasing utilization of health services which are well-defined and time-limited, in particular those services which are under-utilized [19, 20].
Experience of vouchers for healthcare in developed economies is very limited. Another and more critical observation is healthcare vouchers have not been applied as a purchasing mechanism for an entire population group for an unspecified range of primary care services. This study is part of an evaluation of the effectiveness and impact of a unique healthcare voucher program implemented in Hong Kong Special Administrative Region (SAR) of China which is a developed economy. The Elderly Healthcare Voucher Scheme provides financial subsidies to the entire Hong Kong resident population aged 65 and above for unspecified healthcare services provided by 10 categories of primary care practitioners.
Primary healthcare in Hong Kong
Hong Kong’s health system is segmented and compartmentalized in financing and delivery. It has parallel systems of public and private financing for healthcare. Public financing is from general tax revenue and accounts for 51% of total health expenditure in 2015/16 [21]. The equidominant private system accounts for 49% of total health expenditure, and is mainly financed by household out-of-pockets (70%) with 29% financed through privately purchased or employer-based insurance [21]. Public policy undertakes to provide universal health coverage to the entire resident population. The public sector provides 90% of services in hospital care, but only 30% of primary healthcare [22]. Primary care in Hong Kong is largely provided in the private sector. The private sector provides 70% of primary outpatient care, but only 10% of inpatient hospital care [22]. The services fee of public general outpatient (primary care) clinics is HK$50 per attendance while that of private sector is at higher fees ranging from HK$300 for primary consultation to HK$800 for specialist practice [23]. Public general outpatient clinics are primarily used by the elderly, low-income groups and chronically ill patients. In 2018, elderly patients aged 65 or above accounted for one-third of patients in the public general out-patient clinics [24]. Willingness for pay for private primary care services by elderly persons is low because they perceived the services as unaffordable and they have concerns on the service quality [25]. Despite long waits and crowded conditions, many elderly persons tended to prefer public over private primary care services because of lower clinic fees and relatively higher trust in public services [26, 27, 28]. The segmented public-private financing and delivery system has been put under increasing pressure to meet the demands and needs of an ageing population for equity in access particularly for primary care. Hong Kong has one of the higher life expectancy - 82 years for mean and 88 years of women [29]. 17% of the population are aged 65 and above, and 75% of this population group has at least one chronic diseases and 15% have more than one chronic diseases [22].
Elderly healthcare voucher scheme in Hong Kong
Design of Voucher scheme
With these enhancements, the proportion of eligible elderly people ever using vouchers has increased progressively from 28% in 2009 to 94% in 2018, with a corresponding increase in the annual amount of vouchers claimed from HK$40 million to HK$2.8 billion [31, 32]. The number of primary care visits through voucher scheme (in term of average number of voucher claim transactions per each voucher user) has doubled from 1.84 times in 2009 to 3.65 times in 2017 [27, 31]. The participation rate of primary care practitioners also increased from 14% in 2014 to 20% in 2017 [32]. The participation rate of optometrist was the highest at 67% in 2016, followed by dentists (44%), medical practitioners (42%) and chiropractors (36%) and Chinese medicine practitioners (32%) [31].
Developing primary care and promoting PPP are key elements of the policy agenda in Hong Kong. Hong Kong shares the health system characteristics of many other Asian health systems, considering the global need to identify innovative ways to build a sustainable health financing system, this study aims to provide important insight and greater understanding of drivers for use of the voucher scheme to achieve the objective of encouraging greater use of private primary care services and effectively managing chronic conditions amongst the elderly population in the community.
The study objectives were to assess changes over time in attitudes towards, and usage of, vouchers amongst elderly people in the community, and to assess the long term impact of the voucher scheme in encouraging the use of private primary care services. The evidence generated from this study will inform other economies whether and how demand-side financing through voucher scheme could enable the engagement of private sector for health system goals of universal health coverage.
Methods
Sampling
This was a repeated cross-sectional survey of elderly people aged 70 or above who are eligible for the voucher scheme. A questionnaire survey among the elderly on their perceptions towards the voucher scheme was conducted in 2010 (one year after the implementation of the initial pilot). Building on this piece of work [26], we conducted another round of cross-sectional survey among all eligible voucher users using a similar methodology to the 2010 survey. Due to the lack of a population register from which the elderly can be randomly sampled in Hong Kong, the participants were recruited through convenience sampling from three types of enumeration sites to broaden the types of elderly recruited so as to cover elderly persons with and without illnesses and from both public and private providers. The enumeration sites included (i) primary care (outpatient) clinics in both the public and private sectors for doctor consultation, and (ii) neighborhood elderly centers run by the Social Welfare Department to provide community services at neighborhood level to enable elderly to remain in the community, and (iii) elderly health centers run by the Department of Health for health assessment. The sites were chosen based on the distribution of household income in Hong Kong Island, Kowloon, and New Territories. Within each site, the eligible elderly persons were mainly referred by the clinics/ centres staff with the consent of the elderly persons. A total of 942 respondents were targeted in order to detect a change of percentage of voucher users at a marginal error of plus or minus 5% at 95% confidence level with 90% power.
Survey data collection
The repeated cross-sectional survey was conducted face-to-face by trained interviewers with a structured questionnaire in Chinese from June 2016 to January 2017. The questionnaire consisted of four key sections including (i) demographic characteristics and healthcare services utilization pattern, (ii) awareness and understanding of the voucher scheme, (iii) vouchers usage, e.g. whether they have used vouchers for private primary care services, especially in disease prevention and chronic disease management, and reasons for not using it, and (iv) attitudes towards the voucher design and the perceived impact of voucher on their health seeking behaviors. The same set of questions relating to the design and impact were used in both the 2010 and current survey for comparison (Additional file 1). A pilot survey of 10 samples was conducted at an outpatient clinic to test the survey logistics and wording of the questions.
Ethical approval was obtained from the Ethics Committee in the Hong Kong Hospital Authority and Department of Health.
Statistical analysis
Data was entered in a SPSS 20.0 database using dual data entry, and over 10% of the database was further audited to ensure accuracy and completeness. Each participant was assigned a unique study identifier number to ensure confidentially.
To minimize bias between the two samples in 2010 and 2016, propensity score matching was first conducted to create a matching population based on demographics and the socio-economic data of the elderly. We used logistic regression model with independent variables including gender, age, living district, living status i.e. living alone or living with others, the presence of social security assistance, and health insurance coverage to calculate the propensity score for each participant, i.e. predicted probabilities. Participants in 2010 and 2016 were then matched one-by-one based on propensity score using nearest neighbor matching. The suitability of the matching was examined by checking the characteristics of the samples in 2010 and 2016 by a Chi-square test. After matching, if there was insignificant difference between two years on the elderly’s characteristics, it indicated that selection biases were minimized. The quality of matching was also examined by the balancing score including the standardized difference of the propensity score means and the variance ratio of the propensity score [33].
Using the propensity score matching, we used Chi-square test to compare the attitude, perception and usage of vouchers across two independent cross-sectional samples in 2010 and 2016. The primary outcome was the perceived change about whether the voucher scheme can encourage greater use of private primary care services. We also conducted univariate analyses on the pooled cross-sectional data to determine associations of the perceived change on behavior with other variables adjusted by year and enumeration sites. All independent variables with p < 0.05 in the univariate analyses were considered for entry into the multivariate logistic regression model to identify factors associated with perceived behavior change, and to estimate adjusted odds ratio (OR) with 95% confidence intervals (CI).
Results
Respondents’ profile in 2016
In total, 974 elderly were successfully interviewed in 2016 (versus 1026 elderly in 2010), constituting a response rate of 78.6%. The age distribution of the elderly respondents in 2016 was comparable to that of the elderly population in Hong Kong. Overall, 34.2% of respondents were male in 2016, and about half (57.2%) were under 80 years old. Around 11.4% were recipients of comprehensive social security assistance (comparable to 9.9% of the elderly population aged 65 or above in Hong Kong) [34].
Characteristics of respondents by year before and after propensity score (PS) matching
Covariate | Before PS match | After PS match | ||||
---|---|---|---|---|---|---|
2010 (n = 1026) | 2016 (n = 974) | P-value | 2010 (n = 823) | 2016 (n = 823) | P-value | |
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) |
Awareness of voucher scheme
The majority of respondents (99.3%) were aware of the Elderly Healthcare Voucher Scheme in 2016, a significant increase from 69.7% in 2010. The most common channel for knowing about the scheme was television advertisements (42.2%).
Attitudes towards the voucher scheme
Design of the voucher scheme
Attitudes toward voucher scheme among the matched respondents in 2010 and 2016
Variable | 2010 (N = 823) n (%) | 2016 (N = 823) n (%) | P-value |
---|---|---|---|
Whether sufficient information provided on the voucher scheme (among those who were aware of 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) |
Perceived change of health seeking behavior
61.5% reported that “the scheme can encourage me to use more private primary care services”, which was an increase from 36.2% in 2010. Among those who agreed in 2016, the majority thought the voucher scheme would encourage them to use acute services in the private sector (90.3%), rather than preventive care (40.3%) and chronic disease management (12.2%). For those who disagreed, the common reasons for not changing their behavior included “It depends on what kind of illness e.g. the treatment of chronic disease will remain in the public system” (29.0%) and “I am used to seeing doctors in the public system” (27.4%).
Predictors on perceived change of health seeking behavior
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 (n = 773) | Yes (n = 754) | Adjusted Odds ratio (95% CI) | P-value | Adjusted Odds ratio (95% CI) | P-value |
Demographic | |||||||
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 |
Health condition | |||||||
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 |
Vouchers usage
Voucher usage among the matched respondents in 2010 and 2016
Variable | 2010 (n = 823) | 2016 (n = 823) | P-value |
---|---|---|---|
Ever use | |||
No | 497 (63.6) | 43 (5.3) | < 0.001 |
Yes | 284 (36.4) | 773 (94.7) | |
Among those who have ever used the vouchers | |||
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) |
Perceived usual source of care currently and prior to the use of voucher (2016)
Usual source of care | Prior to the use of vouchers (n = 766) | Currently (n = 766) | P-value |
---|---|---|---|
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) |
Discussion
This repeated cross-sectional study shows that the current voucher scheme is more acceptable to the elderly than at the time of launch in 2009, reflected by the increased awareness and positive attitudes towards the design of the voucher, as compared with the survey conducted in 2010. The voucher seems to have encouraged elderly people to use primary care services available in the private sector, in particular for one-off (episodic) curative services rather than for preventive services or chronic disease management. There also appears to be an increase in the dual utilization of public and private sectors, with greater numbers choosing both sectors as their usual source of care. This was not the intention at the introduction of the voucher scheme.
Impact of voucher scheme on services utilization
Vouchers are a demand-side subsidy intended to reduce financial hardship when accessing services and to improve efficiency [16]. Vouchers are also a useful means of targeting specific populations, and can improve the quality of services through incentivizing behavior change on both demand and supply side [11, 12, 13]. Evidence of effectiveness of vouchers has been demonstrated in encouraging people to perform clearly defined, time-limited and simple behavioral tasks [11, 12, 13, 19, 35]. However, there is insufficient evidence to demonstrate the effectiveness of vouchers for other applications. In its current design, the voucher scheme in Hong Kong provides a universal voucher, introduced to incentivize the entire Hong Kong resident population aged 65 and above to choose ten different types of primary care practitioners for curative care, preventive care and chronic diseases management in the private sector. The elderly particularly those with chronic disease in Hong Kong frequently use the highly subsidized healthcare services in public sector, mainly due to lower user fees in public sector and lower trust in the private sector [28]. Our results show the elderly perceive that the voucher has encouraged them to use private primary care services over the past few years (an increase from 36.2% in 2010 to 61.5% in 2016), probably due to the effect of an eightfold-increase in the subsidy amount. Those elderly who are less affluent are more likely to see the vouchers as encouraging them to use private primary care services. Vouchers also encourage those elderly who are used to seek services in both the public and private sectors (relative to those “only seeing public doctors”) to use private primary care services. The effect on encouraging private primary care on patients who used to “seeing only public doctors” was less evident. This may be due either to the preference and trust in the public sector or to the need for chronic disease management which may be unaffordable even with the voucher, to low income elderly persons.
In addition, the percentage of dual utilization of both public and private sectors as their usual source of care is increasing, suggesting that the vouchers do not have a substitution effect of private services on public services utilization to reduce the burden of care on public sector. This may also be undesirable as it compromises continuity of care, and encourages “doctor shopping” which a phenomenon already observed and may affect the quality of care.
Impact of voucher scheme on primary care and disease prevention
It appears the elderly are less likely to be incentivized to use private primary care services for prevention or management of chronic disease due to the untargeted nature of voucher scheme in Hong Kong. This finding suggests that greater attention is needed in promoting the use of vouchers to achieve program objectives and increase their effectiveness. The use of vouchers for preventive services such as health and dental checks has remained low over the past 8 years of voucher implementation. This could be due to low awareness of preventive care among elderly people, but also to the untargeted nature of the voucher design which covers a spectrum of health services. Preventive care is an important component of primary care for disease prevention and maintenance within a community setting [1]. The literature suggests that vouchers can be effective in encouraging uptake of well-defined and time-limited services that are under-utilized. A designated voucher for preventive care services for the elderly should be instituted to increase uptake for disease prevention. This approach might encourage the elderly to take greater precautionary measures against diseases, enhance their capability in self-care, and reduce the demand for hospitalisation. It can also save medical costs in the long run by screening out the high risk group for early treatment. Since the need for chronic disease management has not been met which may be related to affordability, a designated voucher for chronic disease management needs to be considered for those who are screened to have chronic disease. Looking to the future, the increasingly ageing population and growing chronic disease burden in Hong Kong will require a greater emphasis on integrated community health services to reduce demand on the hospital sector.
Implementation issues
From the supply side perspective, vouchers can be perceived as a policy to address health service gaps and engaging private service providers [36]. The prices of goods and services are reduced through competition between providers. In Hong Kong, the participation rate of primary care practitioners is relatively low at 20% in 2017 [32]. Some healthcare providers have not enrolled because of the associated administrative burden [26]. Though enrolment has been gradually increasing, access for elderly people wishing to use vouchers is suboptimal. Increasing the number and choices of providers could facilitate greater uptake. Another important aspect of the voucher scheme is the indirect process of regulating providers, using contracting to promote minimum standards of quality as a prerequisite to enrolling in the voucher scheme, thereby increasing the quality of service provision [36]. A few studies in a systematic review demonstrated that engaging the private sector in providing services for low income groups might increase quality and utilization [37]. Clearly defined and shared objectives and roles, transparency of information, and trust are key elements in building partnerships with the private sector [9]. Active involvement of the private sector in designing the voucher scheme could facilitate more utilization of specific health services though incentivizing both the demand and supply sides.
A well-implemented voucher program should bring benefit to both key stakeholders of the recipients and service providers, and maximize service delivery capacity as a whole for equitable access in universal health coverage and contribute to a sustainable financing system. As a demand-side financing mechanism, it enables the government to funnel resources to population in need. It can reduce barrier in access to health services and extend private sector’s reach by expanding the population purchasing power through subsidy. The design of vouchers, including lowering the eligible age for participation in the scheme to promote uptake of preventive services and control of non-communicable diseases, and specification of the type of preventive care and chronic diseases management programs to be targeted, needs to be urgently considered and investigated. Vouchers need to be introduced in a systematic manner and to be targeted at interventions which can be evaluated to ensure value for money, quality and effectiveness. The effectiveness of vouchers will rely on engaging fully with services providers as well as targeting specific populations, and simple administrative processes will be needed for effective implementation [38].
There were a few limitations in this study. Due to the lack of a population register from which the elderly can be randomly sampled in Hong Kong, a convenience sample recruiting elderly people from clinics, health centres, elderly centres/ parks from different districts in Hong Kong was used to reflect different socio-economic characteristics. To assess the representativeness of our sample, we compared the age and sex distribution of respondents with the population in each year, and the data did not differ significantly. We have also used propensity score matching so that the differentials in demographic and socio-economic factors between years can be properly adjusted. On the other hand, as our results were based on cross-sectional surveys, the associations between perceived change of health seeking behavior and other variables do not imply causality, which require confirmation in longitudinal studies. Finally, there is limitation in the use of self-reported measures, such as the elderly’s use of vouchers and their health status. The administrative data from the Department of Health regarding the voucher usage has been used to validate the self-reported voucher usage by the respondents.
Conclusions
Vouchers can increase service utilization for a particular service and can leverage private sector provision to fill gaps in public provision by targeting a particular group. However, in Hong Kong the voucher system for the elderly population has not enhanced the utilization of primary care for prevention and maintenance of chronic conditions within a community setting due to its unspecified design. The voucher scheme also appears to increase the dual utilization of health services in both the public and private sectors which may compromise continuity and quality of care. The voucher scheme has encouraged the use of healthcare services in the private sector, however, there needs to be caution that the untargeted and open-ended nature of voucher scheme could result in supply-induced demand which would affect long term financial sustainability. The voucher needs to be re-designed and be more specific about the range of services covered and how they are funded, managed, and delivered to target prevention and chronic diseases management rather than unspecified care which is mainly acute and episodic in order to meet the needs of the elderly population. Apart from administrative enhancement and technical changes in the subsidy amount and eligible age, a change in the targeting and scope of services is required to effectively achieve the intended goals to maximize service delivery capacity as a whole for equitable access in universal health coverage and to contribute to a sustainable financing system.
Notes
Acknowledgments
We would like to acknowledge Department of Health, Hospital Authority, the Elderly Centres, and the private clinics for providing us access to the elderly for conducting the interviews. We are also grateful for Marc KC Chong’s and TY Chow’s input in the data analysis. This work was supported by Health and Medical Research Fund by the Food and Health Bureau, The Hong Kong Special Administrative Region [grant numbers 12130651].
Authors’ contributions
All the authors made substantial contributions to the study concept and design. CHKY, VLHF, and ELYW were involved in the analysis and interpretation of data. In addition, CHKY participated in drafting the manuscript. SMG and EKY revised it critically for important intellectual content. All authors have read and approved the final manuscript.
Funding
This work was supported by Health and Medical Research Fund by the Food and Health Bureau, The Hong Kong Special Administrative Region [grant numbers 12130651]. The funder did not participate in the design of this study, data collection, analysis, interpretation of data, or in writing the manuscript.
Ethics approval and consent to participate
Ethical approval was obtained for this study from the Ethics Committee in the Hong Kong Hospital Authority and Department of Health. Written consent was obtained from each study participant after a clear explanation of the study objectives and to ensure data confidentiality.
Consent for publication
Not applicable
Competing interests
The authors declare that they have no competing interests.
Supplementary material
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