The choice and preference for public-private health care among urban residents in China: evidence from a discrete choice experiment

Rapid growth of private hospitals in China: emerging challenges and opportunities to health sector management

China's private hospital market has experienced rapid growth over the last decade, with private hospitals now outnumbering public hospitals by a factor of two. This policy analysis uses available data and existing literature to analyze China's rapidly changing hospital market, identify key challenges resulting from rapid private hospital growth, and present recommendations to ensure future sustainable private hospital development in the country. Our analysis shows that while private hospitals outnumber public hospitals, outpatient visits and hospitalizations remain higher among public hospitals, while per-patient expenditure remains higher among private hospitals. Key challenges to private hospital development include limited government financial support, high tax burdens, difficulty in workforce recruitment and retainment, poor government regulation and oversight, and dissipating public trust. Recommendations to address these challenges include opening government contract bidding to private hospitals, creating a system that allows private hospitals to enter national health insurance schemes, reducing tax pressure on private hospitals, defining a legal system for market entry and exit of private hospitals, improving a system of supervision, and monitoring and evaluation of private hospital operation and performance.

Exploring the Preferences of Parents of Children with Myopia in Rural China for Eye Care Services Under Privatization Policy: Evidence from a Discrete Choice Experiment

OBJECTIVES

This study aims to measure the preferences and valuations of parents of students with myopia parents for eye care service attributes in rural China, and to quantify the potential welfare impacts of privatization policy on children's eye care services.

METHODS

A discrete choice experiment was designed and implemented among a sample of parents of children with myopia in rural China. We randomly selected 350 participants from the list of subjects obtained from local town schools and family doctors using a random number table method. The participants were asked to choose between two hypothetical scenarios defined by five attributes: provider type, distance, price, lenses type, and refractionists' professional competencies. We estimate conditional logit and mixed logit models to approximate individual preferences for these attributes and estimate the welfare effects by calculating willingness to pay.

RESULTS

Respondents (n = 336) showed a significant preference for public providers of refractive error services, myopia control lenses, and professional refractionists (P < 0.01 for each). Consumer welfare losses due to a prohibition of the public provision of refractive error services could be compensated by improving the quality of products and services delivered by private providers. Lastly, both parent and child demographics and previous experience of eye care service consumption are important predictors of willingness to pay for refractive error services.

CONCLUSIONS

The privatization policy on children's eye care services would not cater to the preferences of rural consumers, inevitably leading to welfare losses. However, reduced consumer welfare could be compensated by improving the quality of products and service delivery from private providers. These results could help inform strategies to improve and reduce inequities in access to high-quality eye care services in rural China.

Factors associated to patients' referral to public or private Covid-19 healthcare centers in Tabriz, Iran

BACKGROUND

In Iran, tracking of patients and its associated data recording in private healthcare centers are poor, and thus a majority of patients suffering from Covid-19 are treated without any control on the isolation and quarantine processes. The present study aims to investigate the factors contributed to referral to private or public healthcare centers that provide Covid-19 care services.

METHODS

This cross-sectional study was conducted from November 2021 to January 2022 in Tabriz, Iran. We invited a total of 258 and 202Covid-19 patients from governmental and private healthcare centers, respectively, to participate in the study by convenient sampling method. Applying a self-administered questionnaire, we collected data on the reason of referring to the healthcare centers, patient's waiting time, quality of healthcare services received by the patients, patients' level of satisfaction, accessibility, insurance coverage, perceived severity of the disease, and the level of staff compliance from health protocols. Logistic regression model was used for data analysis by using SPSS-26 software.

RESULTS

Adjusted for other variables, higher socio-economic status (AOR (Adjusted Odds Ratio) = 6.64), older age (AOR = 1.02), referral of friends and family members (AOR = 1.52), shorter waiting time (AOR = 1.02) and higher satisfaction (AOR = 1.02) were contributed to referral to private centers. Better accessibility (AOR = 0.98) and wider insurance coverage (AOR = 0.99) were also contributed to referral to governmental centers.

CONCLUSION

Providing more appropriate insurance coverage by private healthcare centers, and promoting their level of accessibility seems to promote patients' referral to such centers. Moreover, establishing an accurate system for recording patients' information and follow up in private centers might promote the role of private healthcare centers in managing the overload of patients on healthcare system during such epidemics.

Impacts of the medical arms race on medical expenses: a public hospital-based study in Shenzhen, China, during 2009-2013

BACKGROUND

Has the medical arms race (MAR) increased healthcare expenditures? Existing literature has yet to draw a consistent conclusion. Hence, this study aims to reexamine the relationship between the MAR and medical expenses by the data from public hospitals in Shenzhen, China, during the period of 2009 to 2013.

METHODS

This study's data were collected through panel datasets spanning 2009 to 2013 from the Shenzhen Statistical Yearbook, Shenzhen Health Statistical Yearbook, and annual reports from the Shenzhen Municipal Health Commission. The Herfindahl-Hirschman index and hierarchical linear modeling were combined for empirical analysis.

RESULTS

The MAR's impact on medical examination fees differed during the inpatient and outpatient stages. Further analysis verified that the MAR had the most significant impact on outpatient examination fees. Due to the characteristics of China's medical system, government regulations in the healthcare market may consequently accelerate the MAR among public hospitals. Strict government regulations on the medical system have also promoted increased medical examination costs to some extent. Once medical service prices are under strict administrative control, only drug and medical examination fees are the primary forms of extra income for hospitals. After the proportion of drug fees is further regulated, medical examinations will then become another staple method to generate extra revenue. These have distorted Chinese public hospitals' medical fees, which completely differ from those in other countries.

CONCLUSION

The government should confirm that they have allocated sufficient financial investments for public hospitals; otherwise, the competition among hospitals will transfer the burden to patients, and especially to those who can afford to pay for care. A core task for public hospitals involves providing safer, less expensive, and more reliable medical services.

Healthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experiment

Background

Chinese health insurance system faces resource distribution challenges. A patient-centric approach allows decision-makers to be keenly aware of optimized medical resource allocation.

Objective

This study aims to use the discrete choice model to determine the main factors affecting the healthcare preferences of the general Chinese population and their weights in the three scenarios (chronic non-communicable diseases, acute infectious diseases, and major diseases).

Methods

This study firstly identified the key factors affecting people's healthcare preferences through literature review and qualitative interviews, and then designed the DCE questionnaire. An online questionnaire produced by Lighthouse Studio (version 9.9.1) software was distributed to voluntary respondents recruited from mainland China's entire population from January 2021 to June 2021. Participants were required to answer a total of 21 questions of three scenarios in the questionnaire. The multinomial logit model and latent class model were used to analyze the collected data.

Results

A total of 4,156 participants from mainland China were included in this study. The multinomial logit and latent class model analyses showed that medical insurance reimbursement is the most important attribute in all three disease scenarios. In the scenario of "non-communicable diseases," the attributes that participants valued were, from the most to the least, medical insurance reimbursement (45.0%), hospital-level (21.6%), distance (14.4%), cost (9.7%), waiting time (8.3%), and care provider (1.0%). As for willingness to pay (WTP), participants were willing to pay 204.5 yuan, or 1,743.8 yuan, to change from private hospitals or community hospitals to tertiary hospitals, respectively.

Conclusions

This study explores the healthcare preferences of Chinese residents from a new perspective, which can provide theoretical reference for the refinement of many disease medical reimbursement policies, such as developing different reimbursement ratios for various common diseases and realizing rational configuration of medical resources.

Socioeconomic Disparities in Iranians’ Preferences toward Dental Care Services: A Population-Based Survey

Background and Aims

Patients' perspectives and preferences are considered an essential influencing factor for healthcare utilization. This study is one of the first to investigate patient preference for dental services across socioeconomic and demographic indicators in Iran.

Materials and Methods

This cross-sectional study was conducted through telephone interviews with adult residents in Mashhad and Kerman cities. A representative sample was selected by stratified random sampling. A valid structured questionnaire was used for data collection, including people's preference toward dental care services in terms of dental settings, choosing a general or specialist dentist, prevention or treatment, and the preferable gender of the dentist. Factors potentially associated with preferences included gender, age, educational level, job, monthly income, house size, family number, insurance coverage, dental insurance, type of insurance, and social class in the city were investigated.

Results

1475 individuals participated in the study [response rate 63%]. Our findings showed higher preferences for private offices (50.6%), specialist dentists (76.2%), treatment services (40.8%), and no specific gender preference for the dentist (60.6%). Their preferences were significantly influenced by age range, social class, insurance status, dental insurance, and type of insurance. Income, household size, level of education, and job were not statistically significant with none of the preferences.

Conclusions

Socioeconomic and demographic factors' correlation with people's preferences was observed. Efforts are needed to promote preventive care demand in deprived regions. Moreover, increasing financial resources allocated to preventive care and covering preventive dental services in insurance plans are recommended.

Association of Hospital Characteristics and Previous Hospitalization-Related Experiences with Patients’ Perceptions of Hospital Care in China

Patients’ perceptions of healthcare vary over time and by setting, and previous studies have rarely focused on these factors. We aimed to measure patients’ perceptions of hospital care in China and to examine how patients’ perceptions of hospital care vary by hospital characteristics (differences in setting) and previous hospitalization-related experiences (changes with time). We conducted a national cross-sectional survey of 7267 inpatients between July 2014 and April 2015 in China. Hospital characteristics measured were hospital technical level, hospital type, teaching status, and the ratio of doctors/nurses to ward beds. Previous hospitalization-related experiences measured were current admission length, number of previous admissions, and hospital selection (hospital advertisements or personal recommendations). Patients’ perceptions of hospital care included perceptions of doctors, nurses, and hospital organization. Scores were highest for perceptions of nurses, followed by perceptions of doctors, and hospital organization. Of the five hospital characteristics rated, the technical level was most strongly associated with patient perceptions of healthcare. The effect of hospital admission length and frequency of hospitalization on patients’ perceptions was represented by a √-shaped dose–response curve (scores were initially high, then decreased, then rebounded to higher than the initial scores). Patients who selected a hospital with hospital advertisements gave lower scores than those without hospital advertisements, and patients who selected a hospital with personal recommendations gave higher scores than those without If the observed √-shaped dose–response curves indicate a causal relationship between patients’ perceptions and hospital admission length or frequency of hospitalization, this may help to guide the timing of patient satisfaction assessments. The negative association between patient perception and advertising, and the positive association with personal recommendations (word-of-mouth) and hospital technical level, could provide important information for clinicians and hospital administrators.

The Effect of Medical Choice on Health Costs of Middle-Aged and Elderly Patients with Chronic Disease: Based on Principal-Agent Theory

(1) Background: The discussion on how to reduce the health costs of chronic disease patients has become an important public health issue. Limited research has been conducted on how chronic disease patients’ medical choice of public and private medical institutions affect health costs. (2) Methods: This study used the panel data composed of the China Health and Retirement Longitudinal Survey (CHARLS) from 2011 to 2018, adopted the quasi-natural experimental research method, and set up a control group and an experimental group that chose public medical institutions and private medical institutions, to analyze the association between the medical choice and health costs of chronic disease patients. (3) Results: Compared with chronic disease patients who chose private medical institutions, patients who chose public medical institutions increased their total cost by 44.9%, total out-of-pocket cost by 22.9%, and decreased the total out-of-pocket ratio by 0.117%, total drug cost out-of-pocket ratio by 0.075%, and drug cost ratio by 0.102%. (4) Conclusions: According to the triple principal-agent relationships, the resource advantages given by the government to public medical institutions, the salary incentive system of medical institutions, and the information asymmetry advantage held by physicians may be important factors for the increase in health costs for chronic disease patients.

Effect of hospital attributes on patient preference among outpatient attendants in Wolaita Zone, Southern Ethiopia: discrete choice experiment study

BACKGROUND

Patient preference has preceded the use of health care services, and it has been affected by different hospital attributes. Meanwhile, the number of patients receiving vital health intervention is particularly low in Ethiopia. Therefore, this study aimed to determine the effect of hospital attributes on patient preference for outpatients in the Wolaita area in September 2020.

METHODS

A discrete choice experimental study was applied to determine the effect of hospital attributes on patient preference with a sample size of 1077. The experimental survey was conducted among outpatient attendants selected through a systematic random sampling approach. Six key attributes (competence of healthcare providers; availability of medical equipment and supplies; cost of service; wait time; distance; and hospital reputation) deduced from various hospital attributes were used to elicit the patient preferences. The data was collected from participants through the Open Data Kit application. A random effect probit model with marginal willingness to pay measure and partially log-likelihood analysis was applied to extract important attributes. We used STATA version 15 software for analysis, and the fitness of the model was verified by the calculated p-value for the Wald chi-square with a cut-point value of 0.05.

RESULT

One thousand forty-five patients who received outpatient care participated in the study. The random effect probit results have shown that all hospital attributes included in the study were significantly valued by patients while choosing the hospital (p-value < 0.001). Meanwhile, based on marginal willingness to pay and partial log-likelihood analysis, the competence of health care providers was identified as the most important attribute followed by the availability of medical equipment and supplies in hospitals.

CONCLUSION AND RECOMMENDATION

The results suggested that the quality of health care providers and availability of medical equipment and supply in hospitals would be primary interventional points for improving the patient preference of hospitals. Assessment, education, and training are recommended for enhancing the quality of health care providers. And stock balance checks, inspections, and accreditation are believed to be valuable for improving the availability of equipment and supply in hospitals.

Ophthalmic services in Shanghai 2017: a cataract-centric city-wide government survey

Background

Demand for eye care has increased in recent decades in China due to rapid socioeconomic development and demographic shift. Knowledge of output and productivity of ophthalmic services would allow policymakers to optimize resource allocation, and is therefore essential. This study sought to map the landscape of ophthalmic services available in Shanghai, China.

Methods

In 2018, a government-led survey was conducted of all 86 tertiary/secondary hospitals and five major private hospitals providing eye care in Shanghai in the form of electronic questionnaire, which encompassed ophthalmic services (outpatient and emergency room [ER] visit, inpatient admissions, and surgical volume) and service productivity in terms of annual outpatient and ER visits per doctor, inpatient admissions per bed, and surgical volume per doctor. Comparisons were made among different levels of hospitals with categorical variables tested by Chi-square analysis.

Results

The response rate was 85.7%. The Eye and Ear, Nose, and Throat (EENT) Hospital was the largest tertiary specialty hospital, and alone contributed to the highest 21.0% of annual ophthalmic outpatient and ER visits (visits per doctor: 5460), compared with other 26 tertiary hospitals, 46 secondary hospitals and five private hospitals (visits per doctor: 3683, 4651 and 1876). The annual inpatient admission was 20,103, 56,992, 14,090, and 52,047 for the EENT Hospital, all the other tertiary hospitals, secondary hospitals and five private hospitals, respectively. Turnover rates were highest for the EENT Hospital and private hospitals. The average surgical volume at the EENT Hospital was 72,666, exceeding that of private (15,874.8) and other tertiary hospitals (3366.7). The EENT Hospital and private hospitals performed 16,982 (14.2%) and 55,538 (46.6%) of all cataract surgeries. Proportions of both complicated cataractous cases and complicated cataract surgeries at the EENT Hospital was the highest, followed by other tertiary and secondary/private hospitals (P < 0.0001).

Conclusions

In Shanghai, public providers dominate ophthalmic services especially for complicated cases, with almost one fifth of services provided by the EENT Hospital alone, while private sectors, though not large in number, still effectively help meet large proportions of eye care demand. Optimization of hierarchical medical system is warranted to improve the efficiency and standardization of ophthalmic services.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-07048-1.

Factors associated with the utilisation of primary care services: a cross-sectional study in public and private facilities in Albania

OBJECTIVES

To identify key factors influencing the utilisation of governmental and private primary healthcare services in Albania.

DESIGN

A cross-sectional health facility survey using a 4-point Likert scale questionnaire to rank the importance of factors driving services utilisation.

SETTING

Exit interviews with patients who consulted one of 23 primary care providers (18 public and 5 private) in Fier district of Albania from the period of July-August 2018.

PARTICIPANTS

Representative sample of 629 adults ≥18 years of age.

MAIN OUTCOMES MEASURES

(1) Factors influencing the decision to visit a governmental or private primary care provider and (2) the association of sociodemographic characteristics and patients' decision to attend a given provider. Data were analysed using mixed logistic regression models.

RESULTS

Nearly half of the participants in this study were older than 60 years (45%). The majority (63%) reported to suffer from a chronic condition. Prevailing determinants for choosing a provider were 'quality of care' and 'healthcare professionals' attitudes. Solely looking at patients using a public provider, 'geographical proximity' was the most important factor guiding the decision (85% vs 11%, p<0.001). For private provider's patients, the 'availability of diagnostic devices' was the most important factor (69% vs 9%, p<0.001). The odds of using public facilities were significantly higher among the patients who perceived their health as poor (OR 5.59; 95% CI 2.62 to 11.92), suffered from chronic conditions (OR 3.13; 95% CI 1.36 to 7.24) or were benefiting from a socioeconomic aid scheme (OR 3.52; 95% CI 1.64 to 7.56).

CONCLUSION

The use of primary healthcare is strongly influenced by geographical and financial access for public facility users and availability of equipment for private users. This study found that aspects of acceptability and adequacy of services are equally valued. Additional commitment to further develop primary care through engagement of local decision-makers and professional associations is needed.

Barriers of effective health insurance coverage for rural-to-urban migrant workers in China: a systematic review and policy gap analysis

BACKGROUND

More than 90% of the Chinese population was covered by its three basic social health insurances. However, the Chinese rural-to-urban migrant workers (RUMWs), accounting for about one-fifth of China's total population, seem to be put on a disadvantaged position under the current health insurance schemes. The purpose of this study is to identify the current barriers and to provide policy suggestions to the ineffective health insurance coverage of RUMWs in China.

METHODS

A systematic review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The searched databases included PubMed, Embase, Medline, Web of Science, PsycINFO, Maternity and Infant Care Database MIDIRS, the Cochrane Library, WHO Library Database (WHOLIS), WHO Global Health Library, World Bank eLibrary, OpenGrey, CNKI, and Wanfang. In total, 70 articles were reviewed.

RESULTS

(1) Chinese RUMWs have high work mobility and low job stability; (2) Barriers faced by RUMWs in obtaining effective health insurance coverage are primarily due to the reluctance of employers to provide insurance for all employees and the disadvantaged position held by RUMWs when negotiating with their employers; (3) Fissures among existing health insurance schemes leaves no room for RUMWs to meet their primary needs; and (4) Recent efforts in improving the portability and transferability of insurance across borders and schemes are not enough to solve the barriers.

CONCLUSION

It is argued that the Chinese central government must deal with the fragmentation of healthcare system in China and promote effective coverage by: (1) playing a more active role in coordinating different healthcare and social welfare schemes across the country, (2) increasing the health insurance portability, (3) making the healthcare policies more compatible with RUMW's characteristics to meet their primary health needs, (4) strengthening supervision of employers, and (5) providing more vocational training and other support to increase RUMW's job stability.

Comparing public and private emergency departments in China: Early evidence from a national healthcare quality survey

The number of private healthcare facilities has rapidly increased since the progressive open market policies, which began in the 1980s; however, little is known about the development of private emergency departments (EDs). This cross-sectional study was part of the National Control Information System (NCIS) project, which collects data annually from hospitals across China. Emergency services data were extracted and included location, infrastructure, human resources, beds, and number of patients; 4529 hospitals across 31 provinces in mainland China were eventually included, consisting of 988 private and 3541 public EDs. Evidence shows that most private EDs are located in central China, where local economies are relatively developed. Most private EDs (91.6%) are found in secondary hospitals but have significantly fewer beds and smaller workforces compared with public EDs. An imbalance of emergency medical resources was observed across China, and this disparity becomes even more profound in rural hospitals. These findings may initiate collaborative, public-private partnerships in emergency health services provision and suggest there is a need to offer tax breaks to incentivize investors, but further research is required. We may also need to rethink health insurance policies, which could enable more equitable access to private emergency care. Future planning and health policies must be based upon the strongest available evidence, if we are to address imbalanced health services distribution and growing demand.

Assessing perceived quality of primary care under hospital-township health centre integration: A cross-sectional study in China

Since the new round of health care reform in 2009, the vertical integration of hospitals and primary health institutions has become widely implemented in China as an efficient method for improving quality of primary care. This study aimed to answer the following questions: (a) What is the perceived quality of township health centres (THCs) under integration? (B) What differences could be observed among the three typical integration models, namely, private hospital-THC integration, public hospital-THC integration, and loose collaboration? Two rounds of cross-sectional surveys were conducted from November 2016 to June 2018. The Chinese version of the Primary Care Assessment Tool was used to evaluate perceived quality of sample THCs, and 1118 adult patients were interviewed in total. Multiple linear regressions were employed to compare the quality scores between two survey rounds and among different integration models after controlling for potential confounders. The results revealed that the quality of care significantly improved under private hospital-THC integration as observed by comparing two survey rounds, while no change or slight changes were observed in the other two models. The difference observed among the three models was that the perceived quality of THCs integrated with private hospitals was worse than that of THCs integrated with public hospitals and THCs under loose collaboration, while no significant difference was observed between public hospital-THC integration and loose collaboration. Increased attention should be given to highlighting the tight integration between hospitals and THCs and the different roles played by private and public hospitals in the current reform.

Exploring determinants of health provider choice and heterogeneity in preference among outpatients in Beijing: a labelled discrete choice experiment

OBJECTIVE

For a long time in China, public hospitals have been the most prominent provider of healthcare. However, recent policy reforms mean the private sector is experiencing rapid development. Thus, the purpose of this study is to detect whether the policies published by the government aimed to improve the quality of healthcare services were catering to patient's preferences.

PARTICIPANTS AND METHODS

Our work uses dental care as an example of services provided in outpatient setting and takes advantage of a labelled discrete choice experiment with a random sample of respondents from Beijing. Participants were asked to make a choice between four healthcare providers with different attributes. Mixed logit and latent class models were used for the analysis.

RESULT

Care provided by high-level private hospitals and community hospitals were valued RMB154 and 216 less, respectively, than care provided by class A tertiary hospitals, while the most disliked provider was private clinics. This was the most valued attribute of dental care. Respondents also value: lower waiting times, the option to choose their doctor, lower treatment costs, shorter travel times and a clean waiting room. However, when the level of provider was analysed, the prevailing notion that patients in China were always likely to choose public services than private services no longer holds. Four classes of patients with distinct preferences for dental care provider choice were identified, which can partly be explained by age, income, experience and Hukou status-a household registration permit.

DISCUSSION

The study to some extent challenged the overwhelming predominance of public healthcare providers in China. The preference heterogeneity we found was relatively large. Our findings are significant for providers in developing more specific services for patients and for policymakers in weighing the pros and cons of future initiatives in medical reform.

Status of public-private partnership recognition and willingness to pay for private health care in China

OBJECTIVES

The Chinese government has been increasingly engaging and interacting with the private sectors to initiate public-private partnerships (PPPs) to enhance the capacity of the health care system. Thus, the availability of private health services and copays are increasing. However, Chinese residents appear to be more accustomed to public health care because it has long been the dominant health service provider in China. Therefore, learning how the Chinese recognize PPPs, whether they would like to use private health services and how much they are willing to pay out of pocket are important for policymakers.

METHODS

A bibliographical search was performed through PubMed in Medline, the Chinese National Knowledge Infrastructure and key government websites using a combination of keywords from seminal papers on PPPs and then sequentially added "willingness to pay (WTP), health, and private." The papers selected were closely related to PPPs and WTP for health care in China, and then, over 100 peer-reviewed literature, opinion, or commentary papers and postgraduate theses on the particular topics were carefully reviewed.

RESULTS

Out of 139 papers closely related to WTP for private health care, 37 were extensively reviewed and substantially analyzed. The results corroborate that Chinese residents are generally willing to pay for high-risk disease screening, improved therapies, and health insurance, although the WTP intentions and the amounts they are willing to pay are different among distinct populations for the various types of health services. The results also present conditions that the responders are not explicitly willing to pay for or are willing to pay additional fees for their health promotion. Education level, family per capita income, self-reported health status, and dwelling districts (such as urban or rural residents) are the main factors that affect cost-sharing intention.

CONCLUSIONS

PPPs are increasingly recognized as an effective means to mobilize resources in the private sector to relieve the pressure/burden placed on the public system during medical reform in China. Responders in China are generally willing to pay reasonable fees out of pocket for primary health care services or for improved therapies; however, cost-sharing intentions are affected by multiple factors. Health-related policymakers should learn the general health concerns/demands of the residents and their WTP status to perfect the design of PPPs for the benefit of the majority population in China.

Discrete Choice Experiments in Health Economics: Past, Present and Future

OBJECTIVES

Discrete choice experiments (DCEs) are increasingly advocated as a way to quantify preferences for health. However, increasing support does not necessarily result in increasing quality. Although specific reviews have been conducted in certain contexts, there exists no recent description of the general state of the science of health-related DCEs. The aim of this paper was to update prior reviews (1990-2012), to identify all health-related DCEs and to provide a description of trends, current practice and future challenges.

METHODS

A systematic literature review was conducted to identify health-related empirical DCEs published between 2013 and 2017. The search strategy and data extraction replicated prior reviews to allow the reporting of trends, although additional extraction fields were incorporated.

RESULTS

Of the 7877 abstracts generated, 301 studies met the inclusion criteria and underwent data extraction. In general, the total number of DCEs per year continued to increase, with broader areas of application and increased geographic scope. Studies reported using more sophisticated designs (e.g. D-efficient) with associated software (e.g. Ngene). The trend towards using more sophisticated econometric models also continued. However, many studies presented sophisticated methods with insufficient detail. Qualitative research methods continued to be a popular approach for identifying attributes and levels.

CONCLUSIONS

The use of empirical DCEs in health economics continues to grow. However, inadequate reporting of methodological details inhibits quality assessment. This may reduce decision-makers' confidence in results and their ability to act on the findings. How and when to integrate health-related DCE outcomes into decision-making remains an important area for future research.

Underlying determinants of health provider choice in urban slums: results from a discrete choice experiment in Ahmedabad, India

Background

Severe underutilization of healthcare facilities and lack of timely, affordable and effective access to healthcare services in resource-constrained, bottom of pyramid (BoP) settings are well-known issues, which foster a negative cycle of poor health outcomes, catastrophic health expenditures and poverty. Understanding BoP patients’ healthcare choices is vital to inform policymakers’ effective resource allocation and improve population health and livelihood in these areas. This paper examines the factors affecting the choice of health care provider in low-income settings, specifically the urban slums in India.

Method

A discrete choice experiment was carried out to elicit stated preferences of BoP populations. A total of 100 respondents were sampled using a multi-stage systemic random sampling of urban slums. Attributes were selected based on previous studies in developing countries, findings of a previous exploratory study in the study setting and qualitative interviews. Provider type and cost, distance to the facility, attitude of doctor and staff, appropriateness of care and familiarity with doctor were the attributes included in the study. A random effects logit regression was used to perform the analysis. Interaction effects were included to control for individual characteristics.

Results

The relatively most valued attribute is appropriateness of care (β=3.4213, p = 0.00), followed by familiarity with the doctor (β=2.8497, p = 0.00) and attitude of the doctor and staff towards the patient (β=1.8132, p = 0.00). As expected, respondents prefer shorter distance (β= − 0.0722, p = 0.00) but the relatively low importance of the attribute distance to the facility indicate that respondents are willing to travel longer if any of the other statistically significant attributes are present. Also, significant socioeconomic differences in preferences were observed, especially with regard to the type of provider.

Conclusion

The analyses did not reveal universal preferences for a provider type, but overall the traditional provider type is not well accepted. It also became evident that respondents valued appropriateness of care above other attributes. Despite the study limitations, the results have broader policy implications in the context of Indian government’s attempts to reduce high healthcare out-of-pocket expenditures and provide universal health coverage for its population. The government’s attempt to emphasize the focus on traditional providers should be carefully reconsidered.

Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review

BACKGROUND

Latent class analysis (LCA) has been increasingly used to explore preference heterogeneity, but the literature has not been systematically explored and hence best practices are not understood.

OBJECTIVE

We sought to document all applications of LCA in the stated-preference literature in health and to inform future studies by identifying current norms in published applications.

METHODS

We conducted a systematic review of the MEDLINE, EMBASE, EconLit, Web of Science, and PsycINFO databases. We included stated-preference studies that used LCA to explore preference heterogeneity in healthcare or public health. Two co-authors independently evaluated titles, abstracts, and full-text articles. Abstracted key outcomes included segmentation methods, preference elicitation methods, number of attributes and levels, sample size, model selection criteria, number of classes reported, and hypotheses tests. Study data quality and validity were assessed with the Purpose, Respondents, Explanation, Findings, and Significance (PREFS) quality checklist.

RESULTS

We identified 2560 titles, 99 of which met the inclusion criteria for the review. Two-thirds of the studies focused on the preferences of patients and the general population. In total, 80% of the studies used discrete choice experiments. Studies used between three and 20 attributes, most commonly four to six. Sample size in LCAs ranged from 47 to 2068, with one-third between 100 and 300. Over 90% of the studies used latent class logit models for segmentation. Bayesian information criterion (BIC), Akaike information criterion (AIC), and log-likelihood (LL) were commonly used for model selection, and class size and interpretability were also considered in some studies. About 80% of studies reported two to three classes. The number of classes reported was not correlated with any study characteristics or study population characteristics (p > 0.05). Only 30% of the studies reported using statistical tests to detect significant variations in preferences between classes. Less than half of the studies reported that individual characteristics were included in the segmentation models, and 30% reported that post-estimation analyses were conducted to examine class characteristics. While a higher percentage of studies discussed clinical implications of the segmentation results, an increasing number of studies proposed policy recommendations based on segmentation results since 2010.

CONCLUSIONS

LCA is increasingly used to study preference heterogeneity in health and support decision-making. However, there is little consensus on best practices as its application in health is relatively new. With an increasing demand to study preference heterogeneity, guidance is needed to improve the quality of applications of segmentation methods in health to support policy development and clinical practice.