Trade-offs between location and waiting times in the provision of health care: the case of elective surgery on the Isle of Wight

Preferences of Iranians to select the emergency department physician at the time of service delivery

Background

Understanding patient preferences in emergency departments (EDs) can provide useful information to enhance patient-centred care and improve patient’s experience in hospitals. This study sought to find evidence about patients’ preference for physicians when receiving services in EDs in Iran.

Methods

In this discrete choice experiment survey, 811 respondents completed the scenarios with 5 attributes, including type of physicians, price of services, time to receive services, physician work experience, and physician responsibility. Analyses were conducted for different social and economic groups as well as for the total population.

Results

This study showed that the willingness to pay (WTP) for being visited by a physician with a high sense of responsibility was 67.104US$. WTP for being visited by an emergency medicine specialist (EMS) was 22.148US$. WTP for receiving ED services 1 min earlier was 0.417US$ and for being visited by 1 year higher experienced physician was 0.866US$. WTP varied across different age groups, sex, health status, education, and income groups.

Conclusion

As the expertise and experience of providers are important factors in selecting physicians in EDs by the patients, providing this information to patients when they want to select their providers can promote patient-centred care. This information can decrease patients’ uncertainty in the selection of their services and improve their experience in hospitals.

Does the type of health insurance enrollment affect provider choice, utilization and health care expenditures?

BACKGROUND

Two of the objectives of Universal Health Coverage are equity in access to health services and protection from financial risks. This paper seeks to examine whether the type of health insurance enrollment affects the utilization of health services, choice of provider and financial protection of households in Togo.

METHODS

Data were obtained from a cross-sectional, representative household survey involving 1180 insured households that had reported either illness in the household in the 4 weeks preceding the survey or hospitalization in the 12 months preceding the survey. A nested logit model was used to account for the utilization of health services and provider choice, and methods of assessing catastrophic health care expenditures were used to analyze the level of household financial protection.

RESULTS

Policyholders of private health insurance use private health care facilities more than policyholders of public health insurance. The main reasons for not using health centers among households with public insurance were out-of-pocket payments (49.19%), waiting time (36.80%), and distance to the nearest health center (36.76%). Furthermore, on average, households with public insurance spent a higher proportion of their total monthly nonfood expenditures on health care than those with private insurance. We find that the type of insurance, share of expenditures allocated to food, distance to the nearest health center, and waiting time significantly impact the choice of provider. Regardless of the type of health insurance, elderly individuals avoid using private health centers and referral hospitals due to the high cost.

CONCLUSION

We found that a multiple health insurance system results in a multilevel health system that is not equitable for everyone. The capacity of the health insurance system to provide equitable health care services and protect its members from catastrophic health care expenditures should be at the core of health care reform. This study recommends raising awareness of the criteria for the reimbursement of medical procedures within the framework of public insurance and promoting specific health insurance mechanisms for elderly individuals. Careful attention should be paid to ensuring universal education and literacy as a means of improving access to and the use of health care.

New geographic model of care to manage the post-COVID-19 elective surgery aftershock in England: a retrospective observational study

OBJECTIVES

The suspension of elective surgery during the COVID-19 pandemic is unprecedented and has resulted in record volumes of patients waiting for operations. Novel approaches that maximise capacity and efficiency of surgical care are urgently required. This study applies Markov multiscale community detection (MMCD), an unsupervised graph-based clustering framework, to identify new surgical care models based on pooled waiting-lists delivered across an expanded network of surgical providers.

DESIGN

Retrospective observational study using Hospital Episode Statistics.

SETTING

Public and private hospitals providing surgical care to National Health Service (NHS) patients in England.

PARTICIPANTS

All adult patients resident in England undergoing NHS-funded planned surgical procedures between 1 April 2017 and 31 March 2018.

MAIN OUTCOME MEASURES

The identification of the most common planned surgical procedures in England (high-volume procedures (HVP)) and proportion of low, medium and high-risk patients undergoing each HVP. The mapping of hospitals providing surgical care onto optimised groupings based on patient usage data.

RESULTS

A total of 7 811 891 planned operations were identified in 4 284 925 adults during the 1-year period of our study. The 28 most common surgical procedures accounted for a combined 3 907 474 operations (50.0% of the total). 2 412 613 (61.7%) of these most common procedures involved 'low risk' patients. Patients travelled an average of 11.3 km for these procedures. Based on the data, MMCD partitioned England into 45, 16 and 7 mutually exclusive and collectively exhaustive natural surgical communities of increasing coarseness. The coarser partitions into 16 and seven surgical communities were shown to be associated with balanced supply and demand for surgical care within communities.

CONCLUSIONS

Pooled waiting-lists for low-risk elective procedures and patients across integrated, expanded natural surgical community networks have the potential to increase efficiency by innovatively flexing existing supply to better match demand.

Preferences heterogeneity of health care utilization of community residents in China: a stated preference discrete choice experiment

Background

To tackle the issue with the low usage of primary healthcare service in China, it is essential to align resource distribution with the preferences of the community residents. There are few academic researches for describing residents’ perceived characteristics of healthcare services in China. This study aims to investigate the preferences of healthcare services utilization in community residents and explore the heterogeneity. The findings will be useful for the policy makers to take targeted measures to tailor the provision of healthcare services.

Methods

The face-to-face interviews and surveys were conducted to elicit four key attributes (care provider; mode of services; cost; travel time) of the preference from community residents for healthcare utilization. A rational test was presented first to confirm the consistency, and then 16 pairs of choice tasks with 12 sociodemographic items were given to the respondents. Two hypothetical options for each set, without an opt-out option, were presented in each choice task. The latent class analysis (LCA) was used to analyse the data.

Results

Two thousand one hundred sixty respondents from 36 communities in 6 cities were recruited for our study. 2019 (93.47%) respondents completed valid discrete choice experiment (DCE) questionnaires. The LCA results suggested that four groups of similar preferences were identified. The first group (27.29%) labelled as “Comprehensive consideration” had an even preference of all four attributes. The second group (37.79%) labelled as “Price-driven” preferred low-price healthcare services. The third group labelled as “Near distance” showed a clear preference for seeking healthcare services nearby. The fourth group (34.18%) labelled as “Quality seeker” preferred the healthcare service provided by experts. Willingness to pay (WTP) results showed that people were willing to accept CNY202.12($29.37) for Traditional Chinese Medicine (TCM) services and willing to pay CNY604.31($87.81) for the service provided by experts.

Conclusions

Our study qualitatively measures the distinct preferences for healthcare utilization in community residents in China. The results suggest that the care provider, mode of services, travel time and cost should be considered in priority setting decisions. The study, however, reveals substantial disagreement in opinion of TCM between different population subgroups.

Preferences for centralised emergency medical services: discrete choice experiment

OBJECTIVES

It is desirable that public preferences are established and incorporated in emergency healthcare reforms. The aim of this study was to investigate preferences for local versus centralised provision of all emergency medical services (EMS) and explore what individuals think are important considerations for EMS delivery.

DESIGN

A discrete choice experiment was conducted. The attributes used in the choice scenarios were: travel time to the hospital, waiting time to be seen, length of stay in the hospital, risks of dying, readmission and opportunity for outpatient care after emergency treatment at a local hospital.

SETTING

North East England.

PARTICIPANTS

Participants were a randomly sampled general population, aged 16 years or above recruited from Healthwatch Northumberland network database of lay members and from clinical contact with Northumbria Healthcare National Health Service Foundation Trust via Patient Experience Team.

PRIMARY AND SECONDARY OUTCOME MEASURES

Analysis used logistic regression modelling techniques to determine the preference of each attribute. Marginal rates of substitution between attributes were estimated to understand the trade-offs individuals were willing to make.

RESULTS

Responses were obtained from 148 people (62 completed a web and 86 a postal version). Respondents preferred shorter travel time to hospital, shorter waiting time, fewer number of days in hospital, low risk of death, low risk of readmission and outpatient follow-up care in their local hospital. However, individuals were willing to trade off increased travel time and waiting time for high-quality centralised care. Individuals were willing to travel 9 min more for a 1-day reduction in length of stay in the hospital, 38 min for a 1% reduction in risk of death and 112 min for having outpatient follow-up care at their local hospital.

CONCLUSIONS

People value centralised EMS if it provides higher quality care and are willing to travel further and wait longer.

Patient choice modelling: how do patients choose their hospitals?

As an aid to predicting future hospital admissions, we compare use of the Multinomial Logit and the Utility Maximising Nested Logit models to describe how patients choose their hospitals. The models are fitted to real data from Derbyshire, United Kingdom, which lists the postcodes of more than 200,000 admissions to six different local hospitals. Both elective and emergency admissions are analysed for this mixed urban/rural area. For characteristics that may affect a patient's choice of hospital, we consider the distance of the patient from the hospital, the number of beds at the hospital and the number of car parking spaces available at the hospital, as well as several statistics publicly available on National Health Service (NHS) websites: an average waiting time, the patient survey score for ward cleanliness, the patient safety score and the inpatient survey score for overall care. The Multinomial Logit model is successfully fitted to the data. Results obtained with the Utility Maximising Nested Logit model show that nesting according to city or town may be invalid for these data; in other words, the choice of hospital does not appear to be preceded by choice of city. In all of the analysis carried out, distance appears to be one of the main influences on a patient's choice of hospital rather than statistics available on the Internet.

Survey of Preferences in Patients Scheduled for Carpal Tunnel Release Using Conjoint Analysis

Background

This study aimed to investigate the preferences of patients scheduled for carpal tunnel release using conjoint analysis and also introduce an example of how to apply a conjoint analysis to the medical field. The use of conjoint analysis in this study is new to the field of orthopedic surgery.

Methods

A total of 97 patients scheduled for carpal tunnel release completed the survey. The following four attributes were predefined: board certification status, distance from the patient's residency, medical costs, and waiting time for surgery. Two plausible levels for each attribute were assigned. Based on these attributes and levels, 16 scenarios were generated (2 × 2 × 2 × 2). We employed 8 scenarios using a fractional factorial design (orthogonal plan). Preferences for scenarios were then evaluated by ranking: patients were asked to list the 8 scenarios in their order of preference. Outcomes consisted of two results: the average importance of each attribute and the utility score.

Results

The most important attribute was the physician's board certificate, followed by distance from the patient's residency to the hospital, waiting time, and costs. Utility estimate findings revealed that patients had a greater preference for a hand specialist than a general orthopedic surgeon.

Conclusions

Patients considered the physician's expertise as the most important factor when choosing a hospital for carpal tunnel release. This suggests that patients are increasingly seeking safety without complications as interest in medical malpractice has increased.

Health-related quality of life in Parkinson's: impact of 'off' time and stated treatment preferences

PURPOSE

Long-term levodopa therapy and related fluctuating plasma concentrations are associated with between-dose periods of 'off time' resulting in substantial variation in symptoms and functioning throughout the day in people with Parkinson's (PwP).

METHODS

PwP across UK, France, Spain and Italy completed an online survey to explore: the impact of 'off time' on (1) health-related quality of life (HRQL) and (2) on functioning and ability to undertake usual activities; (3) the value of 'off time' relative to other factors associated with Parkinson's through a stated preference discrete choice experiment (SPDCE).

RESULTS

In total, 305 PwP completed the online survey. Overall mean HRQL (utility) score was significantly lower for 'off time' (0.37) than for 'on time' (0.60). All attributes within the SPDCE were significant predictors of treatment choice, although increased duration of 'on time' (per hour per day: odds ratio (OR) = 1.40) and predictability of 'off time' to within 30 min (OR = 1.42) were valued most highly.

CONCLUSIONS

'On time' and predictability of 'off time' are highly valued by PwP. Due to substantial diurnal variation of Parkinson's symptoms, standard patient-reported outcome (PRO) assessments may not adequately capture the impact of 'off time' on HRQL and participation in daily activities.

The effect of in-office waiting time on physician visit frequency among working-age adults

Disparities in unmet health care demand resulting from socioeconomic, racial, and financial factors have received a great deal of attention in the United States. However, out-of-pocket costs alone do not fully reflect the total opportunity cost that patients must consider as they seek medical attention. While there is an extensive literature on the price elasticity of demand for health care, empirical evidence regarding the effect of waiting time on utilization is sparse. Using the nationally representative 2003 Community Tracking Study Household Survey, the most recent iteration containing respondents' physician office visit frequency and estimated in-office waiting time in the United States (N = 23,484), we investigated the association between waiting time and calculated time cost with the number of physician visits among a sample of working-age adults. To avoid the bias that literature suggests would result from excluding respondents with zero physician visits, we imputed waiting time for the essential inclusion of such individuals. On average, respondents visited physician offices 3.55 times, during which time they waited 28.7 min. The estimates from a negative binomial model indicated that a doubling of waiting time was associated with a 7.7 percent decrease (p-value < 0.001) in physician visit frequency. For women and unemployed respondents, who visited physicians more frequently, the decrease was even larger, suggesting a stronger response to greater waiting times. We believe this finding reflects the discretionary nature of incremental visits in these groups, and a consequent lower perceived marginal benefit of additional visits. The results suggest that in-office waiting time may have a substantial influence on patients' propensity to seek medical attention. Although there is a belief that expansions in health insurance coverage increase health care utilization by reducing financial barriers to access, our results suggest that unintended consequences may arise if in-office waiting time increases.

Engaging the public in healthcare decision-making: quantifying preferences for healthcare through citizens' juries

INTRODUCTION

The optimal approach to engage the public in healthcare decision-making is unclear. Approaches range from deliberative citizens' juries to large population surveys using discrete choice experiments. This study promotes public engagement and quantifies preferences in two key areas of relevance to the industry partners to identify which approach is most informative for informing healthcare policy.

METHODS AND ANALYSIS

The key areas identified are optimising appropriate use of emergency care and prioritising patients for bariatric surgery. Three citizens' juries will be undertaken-two in Queensland to address each key issue and one in Adelaide to repeat the bariatric surgery deliberations with a different sample. Jurors will be given a choice experiment before the jury, immediately following the jury and at approximately 1 month following the jury. Control groups for each jury will be given the choice experiment at the same time points to test for convergence. Samples of healthcare decision-makers will be given the choice experiment as will two large samples of the population. Jury and control group participants will be recruited from the Queensland electoral roll and newspaper advertisements in Adelaide. Population samples will be recruited from a large research panel. Jury processes will be analysed qualitatively and choice experiments will be analysed using multinomial logit models and its more generalised forms. Comparisons between preferences across jurors predeliberation and postdeliberation, control participants, healthcare decision-makers and the general public will be undertaken for each key issue.

ETHICS AND DISSEMINATION

The study is approved by Griffith University Human Research Ethics Committee (MED/10/12/HREC). Findings of the juries and the choice experiments will be reported at a workshop of stakeholders to be held in 2015, in reports and in peer reviewed journals.

When Time is Not on Your Side: Patient Experiences with Waiting for Home Care and Admission to a Nursing or Residential Home

BACKGROUND

Waiting for care is common in many countries as a result of supply-side rationing. The effects that waiting has on patients and their environment have not received much attention thus far. We discuss the literature and present the results of a study on patient experiences with waiting for home care or admission to a nursing or residential home.Health status, well-being (or happiness), and different measures of the burden of waiting were assessed using a visual analog scale (VAS). Finally, respondents were asked to evaluate five statements regarding changes in health status and feelings of uncertainty, dependence, stress, and autonomy as a result of waiting for care, using a Likert-type scale (four categories ranging from 'totally agree' to 'totally disagree').Data were analyzed using SPSS (version 12.0.1). Differences in means between people waiting for home care and admission were tested using one-way ANOVA; differences in proportions were tested using the Chi-squared test. Multivariate analysis was conducted to explore associations of the burden of waiting with background variables and characteristics of intermittent care received, using a forward conditional regression model.

METHODS

Late in 2003 we recruited people on a waiting list in the Waardenland and Midden-Holland regions in the Netherlands to participate in a survey. People were randomly selected from waiting lists for home care or admission to a nursing or residential home. A structured questionnaire was administered to either the patient or their proxy. Respondents answered questions about socioeconomic status, health, well-being, intermittent care use, care providers, and additional costs associated with waiting. Furthermore, the survey included questions addressing waiting (time) perceptionsHealth status, well-being (or happiness), and different measures of the burden of waiting were assessed using a visual analog scale (VAS). Finally, respondents were asked to evaluate five statements regarding changes in health status and feelings of uncertainty, dependence, stress, and autonomy as a result of waiting for care, using a Likert-type scale (four categories ranging from 'totally agree' to 'totally disagree').Data were analyzed using SPSS (version 12.0.1). Differences in means between people waiting for home care and admission were tested using one-way ANOVA; differences in proportions were tested using the Chi-squared test. Multivariate analysis was conducted to explore associations of the burden of waiting with background variables and characteristics of intermittent care received, using a forward conditional regression model.

RESULTS

We found that waiting for care may have far-reaching consequences for patients and their families, and that approximately half of the patients waiting for care considered their current waiting time to be unacceptable. However, the mean burden of waiting is moderate and associated with the extent to which shortages in care are supplemented by support from informal caregivers, volunteers, or a domestic help.

CONCLUSIONS

Differences in how waiting time is perceived between individuals and care sectors are helpful building blocks for the development of more tailor-made policies aimed at reducing the burden of waiting time. These policies include additional support or quicker access to support at home for those most in need, and setting waiting time guarantees in order to reduce uncertainty.

Exploring the feasibility of Conjoint Analysis as a tool for prioritizing innovations for implementation

Background

In an era of scarce and competing priorities for implementation, choosing what to implement is a key decision point for many behavioural change projects. The values and attitudes of the professionals and managers involved inevitably impact the priority attached to decision options. Reliably capturing such values is challenging.

Methods

This paper presents an approach for capturing and incorporating professional values into the prioritization of healthcare innovations being considered for adoption. Conjoint Analysis (CA) was used in a single UK Primary Care Trust to measure the priorities of healthcare professionals working with women with postnatal depression. Rating-based CA data was gathered using a questionnaire and then mapped onto 12 interventions being considered as a means of improving the management of postnatal depression.

Results

The ‘impact on patient care’ and the ‘quality of supporting evidence’ associated with the potential innovations were the most influential in shaping priorities. Professionals were least influenced by whether an innovation was an existing national or local priority, or whether current practice in the Trust was meeting minimum standards. Ranking the 12 innovations by the preferences of potential adopters revealed ‘guided self help’ was the top priority for implementation and ‘screening questions for post natal depression’ the least. When other factors were considered (such as the presence of routine data or planned implementation activity elsewhere in the Trust), the project team chose to combine the eight related treatments and implement these as a single innovation referred to as ‘psychological therapies’.

Conclusions

Using Conjoint Analysis to prioritise potential innovation implementation options is a feasible means of capturing the utility of stakeholders and thus increasing the chances of an innovation being adopted. There are some practical barriers to overcome such as increasing response rates to conjoint surveys before routine and unevaluated use of this technique should be considered.

Community end-of-life care among Chinese older adults living in nursing homes

AIM

The aim of the present study was to investigate the preference and willingness-to-pay (WTP) of older Chinese adults for community end-of-life care in a nursing home rather than a hospital.

METHODS

A total of 1540 older Chinese adults from 140 nursing homes were interviewed. Four hypothetical questions were asked to explore their preferences for end-of-life care. Using a discrete choice approach, specific questions explored acceptable trade-offs between three attributes: availability of doctors onsite, attitude of the care staff and additional cost of care per month.

RESULTS

Approximately 35% of respondents preferred end-of-life care in the nursing home, whereas 23% of them would consider it in a better nursing home. A good attitude of staff was the most important attribute of the care site. Respondents were willing to pay an extra cost of US$5 (HK$39) per month for more coverage of doctor's time, and US$49 (HK$379) for a better attitude of staff in the nursing home. The marginal WTP for both more coverage of doctor's time and better attitude of staff amounted to US$54 (HK$418). Respondents on government subsidy valued the cost attribute more highly, as expected, validating the hypothesis that those respondents would be less willing to pay an additional cost for end-of-life care.

CONCLUSIONS

Older Chinese adults living in nursing homes are willing to pay an additional fee for community end-of-life care services in nursing homes. Both the availability of the doctor and attitudes of nursing home staff are important, with the most important attribute being the staff attitudes. Geriatr Gerontol Int 2013; 14: 273-284.

Investigating attribute non-attendance and its consequences in choice experiments with latent class models

A growing literature, mainly from transport and environment economics, has started to explore whether respondents violate some of the axioms about individuals' preferences in Discrete Choice Experiments (DCEs) and use simple strategies to make their choices. One of these strategies, termed attribute non-attendance (ANA), consists in ignoring one or more attributes. Using data from a DCE administered to healthcare providers in Ghana to evaluate their potential resistance to changes in clinical guidelines, this study illustrates how latent class models can be used in a step-wise approach to account for all possible ANA strategies used by respondents and explore the consequences of such behaviours. Results show that less than 3% of respondents considered all attributes when choosing between the two hypothetical scenarios proposed, with a majority looking at only one or two attributes. Accounting for ANA strategies improved the goodness-of-fit of the model and affected the magnitude of some of the coefficient and willingness-to-pay estimates. However, there was no difference in the predicted probabilities of the model taking into account ANA and the standard approach. Although the latter result is reassuring about the ability of DCEs to produce unbiased policy guidance, it should be confirmed by other studies.

Valuing the Benefits of Weight Loss Programs: An Application of the Discrete Choice Experiment

OBJECTIVE

Obesity is a leading health threat. Determination of optimal therapies for long-term weight loss remains a challenge. Evidence suggests that successful weight loss depends on the compliance of weight loss program participants with their weight loss efforts. Despite this, little is known regarding the attributes influencing such compliance. The purpose of this study was to assess, using a discrete choice experiment (DCE), the relative importance of weight loss program attributes to its participants and to express these preferences in terms of their willingness to pay for them.

RESEARCH METHODS

A DCE survey explored the following weight loss program attributes in a sample of 165 overweight adults enrolled in community weight loss programs: cost, travel time required to attend, extent of physician involvement (e.g., none, monthly, every 2 weeks), components (e.g., diet, exercise, behavior change) emphasized, and focus (e.g., group, individual). The rate at which participants were willing to trade among attributes and the willingness to pay for different configurations of combined attributes were estimated using regression modeling.

RESULTS

All attributes investigated appeared to be statistically significant. The most important unit change was "program components emphasized" (e.g., moving from diet only to diet and exercise).

DISCUSSION

The majority of participants were willing to pay for weight loss programs that reflected their preferences. The DCE tool was useful in quantifying and understanding individual preferences in obesity management and provided information that could help to maximize the efficiency of existing weight loss programs or the design of new programs.

Determinants of patient choice of healthcare providers: a scoping review

BACKGROUND

In several northwest European countries, a demand-driven healthcare system has been implemented that stresses the importance of patient healthcare provider choice. In this study, we are conducting a scoping review aiming to map out what is known about the determinants of patient choice of a wide range of healthcare providers. As far as we know, not many studies are currently available that attempt to draw a general picture of how patients choose a healthcare provider and of the status of research on this subject. This study is therefore a valuable contribution to the growing amount of literature about patient choice.

METHODS

We carried out a specific type of literature review known as a scoping review. Scoping reviews try to examine the breadth of knowledge that is available about a particular topic and therefore do not make selections or apply quality constraints. Firstly, we defined our research questions and searched the literature in Embase, Medline and PubMed. Secondly, we selected the literature, and finally we analysed and summarized the information.

RESULTS

Our review shows that patients' choices are determined by a complex interplay between patient and provider characteristics. A variety of patient characteristics determines whether patients make choices, are willing and able to choose, and how they choose. Patients take account of a variety of structural, process and outcome characteristics of providers, differing in the relative importance they attach to these characteristics.

CONCLUSIONS

There is no such thing as the typical patient: different patients make different choices in different situations. Comparative information seems to have a relatively limited influence on the choices made by many patients and patients base their decisions on a variety of provider characteristics instead of solely on outcome characteristics. The assumptions made in health policy about patient choice may therefore be an oversimplification of reality. Several knowledge gaps were identified that need follow-up research.

Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations

Attribute generation for discrete choice experiments (DCEs) is often poorly reported, and it is unclear whether this element of research is conducted rigorously. This paper explores issues associated with developing attributes for DCEs and contrasts different qualitative approaches. The paper draws on eight studies, four developed attributes for measures, and four developed attributes for more ad hoc policy questions. Issues that have become apparent through these studies include the following: the theoretical framework for random utility theory and the need for attributes that are neither too close to the latent construct nor too intrinsic to people's personality; the need to think about attribute development as a two-stage process involving conceptual development followed by refinement of language to convey the intended meaning; and the difficulty in resolving tensions inherent in the reductiveness of condensing complex and nuanced qualitative findings into precise terms. The comparison of alternative qualitative approaches suggests that the nature of data collection will depend both on the characteristics of the question (its sensitivity, for example) and the availability of existing qualitative information. An iterative, constant comparative approach to analysis is recommended. Finally, the paper provides a series of recommendations for improving the reporting of this element of DCE studies.

Population preferences for health care in liberia: insights for rebuilding a health system

OBJECTIVE. To quantify the influence of health system attributes, particularly quality of care, on preferences for health clinics in Liberia, a country with a high burden of disease that is rebuilding its health system after 14 years of civil war. DATA SOURCES/STUDY SETTING. Informed by focus group discussions, a discrete choice experiment (DCE) was designed to assess preferences for structure and process of care at health clinics. The DCE was fielded in rural, northern Liberia as part of a 2008 population-based survey on health care utilization. DATA COLLECTION. The survey response rate was 98 percent with DCE data available for 1,431 respondents. Mixed logit models were used to estimate the influence of six attributes on choice of hypothetical clinics for a future illness. PRINCIPAL FINDINGS. Participants' choice of clinic was most influenced by provision of a thorough physical exam and consistent availability of medicines. Respectful treatment and government (versus NGO) management marginally increased utility, whereas waiting time was not significant. CONCLUSIONS. Liberians value technical quality of care over convenience, courtesy, and public management in selecting clinics for curative care. This suggests that investments in improved competence of providers and availability of medicines may increase population utilization of essential services as well as promote better clinical outcomes.

The effects of publishing emergency department wait time on patient utilization patterns in a community with two emergency department sites: a retrospective, quasi-experiment design

BACKGROUND

Providing emergency department (ED) wait time information to the public has been suggested as a mechanism to reduce lengthy ED wait times (by enabling patients to select the ED site with shorter wait time), but the effects of such a program have not been evaluated. We evaluated the effects of such a program in a community with two ED sites.

METHODS

Descriptive statistics for wait times of the two sites before and after the publication of wait time information were used to evaluate the effects of the publication of wait time information on wait times. Multivariate logistical regression was used to test whether or not individual patients used published wait time to decide which site to visit.

RESULTS

We found that the rates of wait times exceeding 4 h, and the 95th percentile of wait times in the two sites decreased after the publication of wait time information, even though the average wait times experienced a slight increase. We also found that after controlling for other factors, the site with shorter wait time had a higher likelihood of being selected after the publication of wait time information, but there was no such relationship before the publication.

CONCLUSIONS

These findings were consistent with the hypothesis that the publication of wait time information leads to patients selecting the site with shorter wait time. While publishing ED wait time information did not improve average wait time, it reduced the rates of lengthy wait times.

Patient choice systems and waiting times for scheduled services

Access to scheduled healthcare is a continuing challenge. A synthesis of the international literature was conducted to examine the potential of patient choice systems to reduce waiting times in Canada. A multitude of factors appear to influence the actions and outcomes of patients, providers, and systems. For choice systems to be effective, there must be uptake, which requires incentives and supports. Choice should be considered as but one element of a comprehensive waiting time management strategy.

Rationalising the 'irrational': a think aloud study of discrete choice experiment responses

Stated preference methods assume respondents' preferences are consistent with utility theory, but many empirical studies report evidence of preferences that violate utility theory. This evidence is often derived from quantitative tests that occur naturally within, or are added to, stated preference tasks. In this study, we use qualitative methods to explore three axioms of utility theory: completeness, monotonicity, and continuity. We take a novel approach, adopting a 'think aloud' technique to identify violations of the axioms of utility theory and to consider how well the quantitative tests incorporated within a discrete choice experiment are able to detect these. Results indicate that quantitative tests classify respondents as being 'irrational' when qualitative statements would indicate they are 'rational'. In particular, 'non-monotonic' responses can often be explained by respondents inferring additional information beyond what is presented in the task, and individuals who appear to adopt non-compensatory decision-making strategies do so because they rate particular attributes very highly (they are not attempting to simplify the task). The results also provide evidence of 'cost-based responses': respondents assumed tests with higher costs would be of higher quality. The value of including in-depth qualitative validation techniques in the development of stated preference tasks is shown.

Examining the attitudes and preferences of health care decision-makers in relation to access, equity and cost-effectiveness: a discrete choice experiment

OBJECTIVES

To describe the views of health care decision-makers and providers operating in the UK National Health Service (NHS) concerning the concepts of cost-effectiveness, equity and access through a series of attitudinal questions; to evaluate the preferences of health care providers in relation to each of these concepts using a discrete choice experiment (DCE); to assess the impact of prior completion of an attitude questionnaire on preferences elicited through a DCE.

METHOD

Three versions of a DCE questionnaire were developed with and without a series of attitudinal questions and randomly distributed to 1456 health care decision-makers and providers. The questionnaire sought to elicit their preferences between the competing objectives of cost-effectiveness, equity and access within the context of different hypothetical, specialist treatment programmes for cardiovascular disease.

RESULTS

The response rate was 26%. Female respondents exhibited a stronger preference than males for reducing health inequalities by targeting the worst off (Wald test, P<0.001). Primary Care Trusts (PCTs), Strategic Health Authorities (SHA) or Department of Health (DoH) staff were also more likely than hospital managers to favour programmes that targeted the worst off (Wald test, P<0.001 in each case). Those who were clinically trained and currently in a clinical post had a stronger preference for programmes with shorter waiting times compared to those in a managerial or non-clinical posts, who exhibited stronger preferences for equity. Completion of a series of attitudinal questions prior to completing the DCE task resulted in a lower proportion of dominant responses and an increased willingness to make trade-offs between attributes.

Preferences for aspects of a dermatology consultation

BACKGROUND

General practitioners with special interests (GPSIs) are increasingly being used to provide dermatology services in the U.K. Little is known about U.K. dermatology patient attitudes to proposed variations in secondary care service delivery or the values they attach to aspects of the care they receive.

OBJECTIVES

To quantify preferences for different attributes of care within dermatology secondary care services.

METHODS

Attributes of care that are important to dermatology patients were derived using in-depth qualitative interviews with 19 patients at different points in the care pathway. A discrete choice experiment using 'best-worst scaling' was sent by post to 119 patients referred to secondary care dermatology services and suitable for GPSI care who had agreed to participate in research.

RESULTS

Four attributes were derived from the qualitative work: waiting, expertise, thorough care and convenience. For the discrete choice experiment, 99 patients returned questionnaires, 93 of which contained sufficient data for analysis. All attributes were found to be quantitatively important. The attribute of greatest importance was expertise of the doctor, while waiting time was of least importance. Respondents were willing to wait longer than the current 3 months maximum to receive care that was thorough, 2.1 months to see a team led by an expert and 1.3 months to attend a consultation that is easy to get to.

CONCLUSIONS

Although the need to reduce outpatient waiting times is a key policy driver behind the expansion of GPSI services, this does not appear to be the most important issue for patients. The thoroughness with which the consultation is provided and the expertise of the clinician seen are higher priorities.

Maximising responses to discrete choice experiments: a randomised trial

OBJECTIVE

To identify any differences in response and completion rates across two versions of a questionnaire, in order to determine the trade-off between a potentially higher response rate (from a short questionnaire) and a greater level of information from each respondent (from a long questionnaire).

METHODS

This was a randomised trial to determine whether response rates and/or results differ between questionnaires containing different numbers of choices: a short version capable of estimating main effects only and a longer version capable of estimating two-way interactions, provided certain assumptions hold. Best-worst scaling was the form of discrete choice experimentation used. Data were collected by post and analysed in terms of response rates, completion rates and differences in mean utilities.

RESULTS

Fifty-three percent of individuals approached agreed to take part. From these, the response to the long questionnaire was 83.2% and the short questionnaire was 85.1% (difference 1.9%, 95% CI -7.3, 11.2; p = 0.68). The two versions of the questionnaire provided similar inferences.

DISCUSSION/CONCLUSION

This trial indicates that, in a healthcare setting, for this complexity of questionnaire (i.e. four attributes and the best-worst scaling design), the use of 16 scenarios obtained very similar response rates to those obtained using half this number.

Using discrete choice experiments within a cost-benefit analysis framework: some considerations

A great advantage of the stated preference discrete choice experiment (SPDCE) approach to economic evaluation methodology is its immense flexibility within applied cost-benefit analyses (CBAs). However, while the use of SPDCEs in healthcare has increased markedly in recent years there has been a distinct lack of equivalent CBAs in healthcare using such SPDCE-derived valuations. This article outlines specific issues and some practical suggestions for consideration relevant to the development of CBAs using SPDCE-derived benefits. The article shows that SPDCE-derived CBA can adopt recent developments in cost-effectiveness methodology including the cost-effectiveness plane, appropriate consideration of uncertainty, the net-benefit framework and probabilistic sensitivity analysis methods, while maintaining the theoretical advantage of the SPDCE approach. The concept of a cost-benefit plane is no different in principle to the cost-effectiveness plane and can be a useful tool for reporting and presenting the results of CBAs.However, there are many challenging issues to address for the advancement of CBA methodology using SPCDEs within healthcare. Particular areas for development include the importance of accounting for uncertainty in SPDCE-derived willingness-to-pay values, the methodology of SPDCEs in clinical trial settings and economic models, measurement issues pertinent to using SPDCEs specifically in healthcare, and the importance of issues such as consideration of the dynamic nature of healthcare and the resulting impact this has on the validity of attribute definitions and context.

Discrete choice experiments in health economics: distinguishing between the method and its application

Bryan and Dolan have offered a critique of the use of discrete choice experiments in health economics. Their call for more open debate on "the relative strengths and limitations of the DCE method, particularly when applied in health settings" is warranted. However, their paper has only added to part of this debate in that it focuses on the application of choice experiments in the health sector but says little on the strengths and limitations of the DCE method in general. We argue that while the criticisms posed by Bryan and Dolan rightly challenge the manner in which DCEs have been applied in health economics, such criticism does not challenge the theoretical/methodological basis of DCEs per se.

Why do not all hip- and knee patients facing long waiting times accept re-referral to hospitals with short waiting time? Questionnaire study

Patients' preferences are often assumed to be homogeneous and to favour hospitals with a short waiting time and high quality. Due to long waiting times (6 months) for artificial hip or knee implantation a Danish county in 1999-2000 offered patients on a waiting list a choice between remaining on the local hospital's waiting list with the long waiting time, or re-referral to a hospital outside the county with a shorter waiting time. Fewer patients than expected took advantage of the offer of re-referral ("accepters"): 89 of 149 patients (60%). In 2003, we asked patients about the reasons for their choice: 87% of patients responded. Respondents and non-respondents were similar by decision, choice of hospital, diagnosis and age; men were significantly more likely to respond than women. Accepters and decliners were similar by age, sex, diagnosis and the presence of a car in the household. Short distance, short transport time and previous experience with the nearby hospital were the most important reasons for choosing that hospital. Some patients appeared to be willing to accept a long waiting time, if they were told exactly when they would undergo surgery. The results of this study question the validity of the conventional wisdom, that patients are willing to travel long distances in order to receive treatment with short waiting time.

The English National Health Service: 1979--2005

This article aims to assess the development of the English National Health Service (NHS) over the period 1979--2005, against the original, and often repeated, core objectives of the system: that it be universal in offering coverage to all members of the population in times of health care need; that it be comprehensive in its provision of health care services; and that it be (largely) free at the point of use. Comprehensiveness is open to interpretation, and may depend upon the wealth of the nation. Universality and (largely) free care at the point of use, which lend themselves to the principle of equal access for equal need, are more concrete, and it is not difficult to ascertain if they have been substantially and/or systematically violated. The article details briefly the developments in resource allocation, provider payment mechanisms, incentives and accountability, and notes that much of the emphasis on health sector change since the mid 1980s has been placed upon improving supply side efficiency and reducing waiting lists/times. Improving NHS efficiency, and indeed related aspirations associated with choice and health outcomes, can be perceived as 'secondary' objectives, in that they should not serve to undermine the core objectives of the system, assuming that the security offered by having an accessible, universal health care system is considered worthy of protection. The overall conclusion is that the NHS has performed quite well against its core objectives to date, although it is possible that the current preoccupation with choice and health outcomes will lead us down a different policy path in the future.

The factors that influence patients' choice of hospital and treatment

The Government has published a series of papers that aim to turn the NHS into a patient-led service. One aspect of this change is to allow patients choice in their selection of a hospital for elective surgery. This programme hopes eventually to extend choice to other areas of care. This article reviews the literature surrounding patient choice and identifies the issues that affect how patients will reach a decision. Although there is limited information on the subject, a clear difference has been identified between those with acute conditions and those with chronic conditions. Nurses need to be aware of both the policy and the underpinning concepts and patients' views of the topic because it will bring about a major change in the culture of the NHS.

A new approach to eliciting patients' preferences for palliative day care: the choice experiment method

Palliative day care (PDC) provides individualized care to meet patients' needs and preferences and has posed problems for economic evaluation. Current methods are limited in their ability to capture relevant outcomes. The choice experiment elicits preferences for multiple aspects of care rather than a single outcome. A choice experiment was undertaken at four centers in England. A random effects probit model was used. Interaction terms relating to patient and service characteristics were explored. Seventy-nine patients participated. All characteristics of PDC except bathing and hairdressing were significant (P < 0.001). Access to specialist therapies was three times as important as medical support and twice as important as staying all day. Interaction terms were not significant, except for age and preference for specialist therapies, although the sample may not have been adequate to detect differences. Choice experiments provided useful insights by quantifying preferences for services, providing an alternative to cost-effectiveness analysis.

Reviewing emergency care systems 2: measuring patient preferences using a discrete choice experiment

OBJECTIVE

To investigate patients' strength of preferences for attributes associated with modernising delivery of out of hours emergency care services in Nottingham.

METHODS

A discrete choice experiment was applied to quantify preferences for key attributes of out of hours emergency care. The attributes reflected the findings of previous research, current policy initiatives, and discussions with local key stakeholders. A self complete questionnaire was administered to NHS Direct callers and adults attending accident and emergency, GP services and NHS walk-in centre. Regression analysis was used to estimate the relative importance of the different attributes.

RESULTS

Response was 74% (n = 457) although 61% (n = 378) were useable. All attributes were statistically significant. Being consulted by a doctor was the most important attribute. This was followed by being consulted by a nurse, being kept informed about waiting time, and quality of the consultation. Respondents were prepared to wait an extra 2 hours 20 minutes to be consulted by a doctor. There were no measurable preference differences between patients surveyed at different NHS entry points. Younger respondents preferred single telephone call access to health care out of hours. Although having services provided close to home and making contact in person were generally preferred, they were less important than others, suggesting that a range of service locations may be acceptable to patients.

CONCLUSIONS

This study showed that local solutions for reforming emergency out of hours care should take account of the strength of patient preferences. The method was acceptable and the results have directly informed the development of a local service framework for emergency care.

Determinants of patient satisfaction with cataract surgery and length of time on the waiting list

AIMS

To assess determinants of patient satisfaction with their waiting time (WT) and cataract surgery outcome.

METHODS

A prospective cohort of consecutive patients waiting for cataract surgery were assessed by their ophthalmologist. Satisfaction, maximum acceptable waiting time (MAWT), urgency, visual function, visual acuity (VA), and health related quality of life (EQ-5D) were assessed using mailed questionnaires before surgery and 8-10 weeks after surgery. Ordinal logistic regression was used to build explanatory models.

RESULTS

166 patients (61.9% female, mean age 73.4 years) had a mean WT of 16 weeks. Patients whose actual WT was shorter than their MAWT had greater odds of being satisfied with their WT than those whose WT was longer (adjusted OR 3.86, 95% CI 1.38 to 10.74). Improvement in visual function (OR 3.19, 95% CI 1.78 to 5.73), and VA (OR 4.27, 95% CI 1.70 to 10.68) significantly predicted satisfaction with surgery. Models were adjusted for age and sex.

CONCLUSION

Patient perspectives on MAWT and satisfaction with WT are important inputs to the process of determining WT standards for levels of patient priority. Patient expectation of WT may mediate satisfaction with actual WT.

Discrete choice experiments in health economics. For better or for worse?

One method that is increasingly being used in health economics to elicit stated preferences concerning health matters is the discrete choice experiment (DCE). This editorial explores four sets of issues facing researchers who wish to employ DCE techniques: (a) normative issues about how data from DCE studies might be used to inform policy, (b) psychological issues concerning the meaningfulness of the data generated, (d) technical issues relating to how the data are generated and (d) issues relating to the generalisability of the data from DCE studies. Given current uncertainties surrounding these issues, it is our view that more caution and greater circumspection towards DCE is appropriate at this stage.

Repeated follow-up as a method for reducing non-trading behaviour in discrete choice experiments

Eliciting individuals' preferences using discrete choice experiments is becoming increasingly popular. An emerging issue is that some people do not trade, that is, their choices are consistent with them having a dominant preference. However, it may be the case that these individuals have not been presented with the 'right' trade-offs. This experiment presents individuals with trade-offs that are systematically varied in response to their previous answer. It is thus assessed whether individuals have truly dominant preferences or whether they will trade given the 'right' choices. The preferences studied are time preferences over future health states. After being presented with an initial discrete choice, 203 university students were asked a series of follow-up questions using a web-based questionnaire. Very little evidence of any dominant preferences was found in this sample of respondents. Only one subject did not trade duration and timing following repeated follow-up questions. This finding suggests that non-trading behaviour could be virtually eliminated by asking the 'right' questions.

Willingness of patients to switch from conventional to daily hemodialysis: looking before we leap

PURPOSE

To evaluate the willingness of patients with end-stage renal disease to switch from conventional hemodialysis to short daily hemodialysis, and to determine what health benefits clinical trials of daily hemodialysis would have to document for patients to switch regimens.

METHODS

We studied all patients receiving conventional hemodialysis (defined as three times per week) at three dialysis centers in Philadelphia during a 4-month period. Patients indicated their willingness to switch to daily hemodialysis (defined as six 2- to 3-hour in-center treatments per week) in each of 21 scenarios presented via an interactive computer display. We used conjoint analysis to determine how patients' decisions were influenced by four attributes of daily hemodialysis: predicted life expectancy, quality of life, number of annual hospitalizations, and weekly transportation time to and from the dialysis center.

RESULTS

Of 126 patients interviewed, 55 (44%) would not choose daily hemodialysis regardless of its health benefits. The remaining 71 patients (56%) indicated that they would consider switching if daily hemodialysis was shown to yield certain health benefits. Patients were more willing to switch to daily hemodialysis as the associated life expectancy and average quality of life increased, and as the number of annual hospitalizations and weekly transportation time decreased (all P <0.001).

CONCLUSION

Although daily hemodialysis has received broad support from nephrologists, funding agencies, and lawmakers as the emerging standard of care for patients with end-stage renal disease, upcoming clinical trials would have to document substantial health benefits in order for patients to switch to daily hemodialysis, and many patients may still decline this regimen regardless of the documented benefits.

Do patients always prefer quicker treatment? : a discrete choice analysis of patients' stated preferences in the London Patient Choice Project

The London Patient Choice Project (LPCP) was established to offer NHS patients more choice over where and when they receive treatment, and to reduce waiting times. The LPCP offered those patients waiting around 6 months for elective procedures a choice of treatment at an alternative NHS or private hospital, or treatment at an overseas hospital.The aim of this article is to investigate the following questions regarding patients' response to choice: (a) What are the factors that patients consider when deciding whether to accept the alternatives they are offered? (b) What is the relative importance to patients of each factor when making their choices, i.e. what trade-offs are patients prepared to make between time waited and other factors? (c) Are there any systematic differences between subgroups of patients (in terms of their personal, health and sociodemographic characteristics) in their response to choice?Patients' preferences were elicited using a discrete choice experiment. Patients eligible to participate in the LPCP were recruited prior to being offered their choice between hospitals and each presented with seven hypothetical choices via a self-completed questionnaire. Data were received from 2114 patients. Thirty percent of respondents consistently chose their 'current' over the 'alternative' hospital. All the attributes and levels examined in the experiment were found to exhibit a significant influence on patients' likelihood of opting for an alternative provider, in the expected direction. Age, education and income had an important effect on the 'uptake' of choice. Our results suggest several important implications for policy. First, there may be equity concerns arising from some patient subgroups being more predisposed to accept choice. Second, although reduced waiting time is important to most patients, it is not all that matters. For example, the reputation of the proffered alternatives is of key importance, suggesting careful thought is required about what information on quality and reputation can/should be made available and how it should be made available to facilitate informed choice.

Politicians’ and hospital managers’ trade-offs in the choice of reimbursement scheme: a discrete choice experiment

Trade-offs in the choice of hospital reimbursement schemes are widely discussed in the health economics literature but no one has previously, to this authors' knowledge, made an attempt at quantifying how purchasers and providers trade-off anticipated outcomes of reimbursement schemes. The purpose of this study is to elicit Danish county council politicians' and hospital managers' preferences for the anticipated incentives and consequences embedded in reimbursement schemes using the discrete choice method. Results indicate that politicians and hospital managers agree that increasing the number of patients treated is the most important objective for the choice of reimbursement scheme. The second most important objective to the politicians is to provide budget safety whereas inducing increased quality of treatment is third. Hospital managers rank inducement of increased quality of treatment as the second most important objective and have the county's budget safety as their third most important objective.

Decision making heuristics and the elicitation of preferences: being fast and frugal about the future

It has been suggested that individuals employ simple decision heuristics when answering stated preference questions. Evidence from discrete choice experiments of individuals failing to trade may indicate that they employ simple decision making heuristics. However, individuals might not trade because their preferences are not captured by the range of trade-offs they are offered. This is explored by offering a series of choices where the trade-offs implied by subsequent choices depend on the subject's responses to previous choices. The results suggest that individuals answer discrete choices without recourse to simplifying heuristics, and that information is generated on their preferences rather than on how they make such choices.

Assessing patients' preferences for characteristics associated with homeopathic and conventional treatment of asthma: a conjoint analysis study

BACKGROUND

A study was undertaken to investigate the preferences of patients with asthma for attributes or characteristics associated with treatment for their asthma and to investigate the extent to which such preferences may differ between patient subgroups.

METHODS

The economic technique of conjoint analysis (CA) was used to investigate patients' strength of preference for several key attributes associated with services for the treatment of asthma. A CA questionnaire was administered to two groups of asthma outpatients aged 18 years or older, 150 receiving conventional treatment at Whipps Cross Hospital (WC) and 150 receiving homeopathic treatment at the Royal London Homoeopathic Hospital (RL).

RESULTS

An overall response rate of 47% (n=142) was achieved. Statistically significant attributes in influencing preferences for both the WC and RL respondents were (1) the extent to which the doctor gave sufficient time to listen to what the patient has to say, (2) the extent to which the treatment seemed to relieve symptoms, and (3) the travel costs of attending for an asthma consultation. The extent to which the doctor treated the patient as a whole person was also a statistically significant attribute for the RL respondents.

CONCLUSIONS

This study has shown that aspects associated with the process of delivery of asthma services are important to patients in addition to treatment outcomes. The homeopathic respondents expressed stronger preferences for the doctor to treat them as a whole person than the patients receiving conventional treatment. Overall, the preferences for the attributes included in the study were similar for both groups.

A decision support simulation model for the management of an elective surgery waiting system

This paper describes the design of a simulation model to provide decision support for the scheduling of patients waiting for elective surgery in the public hospital system. Patients nominated for surgery by doctors are categorised by urgency and type of operation. The simulation model can be used as an operational tool to match hospital availability and patient need. It can also be used to report upon the performance of the system, and as a planning tool to compare the effectiveness of alternative policies in this multi-criteria decision environment.

Investigating women's preferences for intrapartum care: home versus hospital births

There is an increasing amount of evidence to suggest that the clinical outcomes associated with a home birth for low risk women are at least as good, if not better than, the clinical outcomes associated with giving birth in hospital. If it is the case that there is little or no difference in clinical outcomes between the two modes of delivery, then traditional measures of benefit used in health economics, e.g. quality adjusted life years (QALYs), would detect little or no difference between the alternative modes of delivery. From this, the conclusion would be that the utility values associated with each mode of delivery are similar. However, women may still have clearly defined preferences relating to the way in which maternity care is provided. This paper uses the economic technique of conjoint analysis to assess the relative value attached to several main characteristics associated with the process of maternity care during the intrapartum stage for women who have actively chosen to give birth at home relative to women who have given birth in hospital. It was found that respondents who had chosen a home birth valued continuity of carer, a homely environment and the ability to make their own decisions about what happens during labour and delivery. In contrast, hospital birth respondents placed a relatively high value on access to an epidural for pain relief and not needing to be transferred to another location during labour if a problem arose. The results of the study suggest that women have clearly defined preferences for characteristics associated with the process of intrapartum care that would be unlikely to be detected by traditional benefit measures used in health economics. This finding is important where policy issues relating to aspects of maternity care service delivery are being considered.