Applying discrete choice modelling in a priority setting: an investigation of public preferences for primary care models

Would you zoom with your doctor? A discrete choice experiment to identify patient preferences for video and in-clinic consultations in German primary care

INTRODUCTION

The popularity of video consultations in healthcare has accelerated during the COVID-19 pandemic. Despite increased availability and obvious benefits, many patients remain hesitant to use video consultations. This study investigates the relative importance of the consultation mode compared to other attributes in patients' appointment choices in Germany.

METHODS

A discrete choice experiment was conducted to examine the influence of appointment attributes on preferences for video over in-clinic consultations. A total of 350 participants were included in the analysis.

RESULTS

The level of continuity of care (46%) and the waiting time until the next available appointment (22%) were shown to have higher relative importance than consultation mode (18%) and other attributes. Participants with fewer data privacy concerns, higher technology proficiency, and more fear of COVID-19 tended to prefer video over in-clinic consultations. The predicted choice probability of a video over a typical in-clinic consultation and opting out increased from <1% to 40% when the video consultation was improved from the worst-case to the best-case scenario.

CONCLUSION

This study provides insight into the effect of the consultation mode on appointment choice at a time when telemedicine gains momentum. The results suggest that participants preferred in-clinic over video consultations. Policymakers and service providers should focus on increasing the level of continuity of care and decreasing the time until the next available appointment to prompt the adoption of video consultations. Although participants preferred to talk to their physician in person over consulting via video per se, the demand for video consultations can be increased significantly by improving the other appointment attributes of video consultations such as the level of continuity of care.

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.

The application of discrete choice experiments eliciting young peoples' preferences for healthcare: a systematic literature review

OBJECTIVES

Understanding young people's preferences for healthcare is critical for reducing the negative effect of undesirable choices. This review aims to synthesise the evidence obtained from discrete choice experiments (DCEs) eliciting young people's preferences for healthcare interventions and service deliveries, specifically, to (1) examine the methodology, including a selection of attributes and levels, experimental design, estimation procedure and validity; (2) evaluate similarities, differences and rigour of designs to the general population DCEs; and, (3) compare the DCEs' application to the seven health priority areas defined by the World Health Organisation (WHO).

METHODS

A systematic review searching Medline, EconLIT, PsychINFO, Scopus, and Web of Science was performed up until May 2021.

INCLUSION CRITERIA

a DCE, eliciting young peoples' preferences (10-24 years of age), on a healthcare-related topic defined by WHO, peer-reviewed, full-text available in English. A bespoke checklist was used to assess the methodological quality of the included studies.

RESULTS

Eighteen DCE studies were included in the review, exploring interventions and service in sexual and reproductive health (n = 9; 50%), smoking cessation (n = 4; 22%), mental health (n = 1), nutrition (n = 1), unintentional injuries (n = 1), vaccination against severe but rare diseases (n = 1); and diabetes (n = 1). Compared to the general population, DCEs eliciting young people's preferences had a high proportion of monetary measures and a smaller number of choices per respondent with the overwhelming number of surveys using fractional factorial design. The majority of studies were of moderate quality (50-75% of the criteria met).

CONCLUSIONS

While identified DCEs touched on most health priority areas, the scope was limited. The conduct and reporting of DCEs with young people could be improved by including the state-of-the-art design, estimation procedures and analysis.

Conjoint analyses of patients’ preferences for primary care: a systematic review

Background

While patients’ preferences in primary care have been examined in numerous conjoint analyses, there has been little systematic effort to synthesise the findings. This review aimed to identify, to organise and to assess the strength of evidence for the attributes and factors associated with preference heterogeneity in conjoint analyses for primary care outpatient visits.

Methods

We searched five bibliographic databases (PubMed, Embase, PsycINFO, Econlit and Scopus) from inception until 15 December 2021, complemented by hand-searching. We included conjoint analyses for primary care outpatient visits. Two reviewers independently screened papers for inclusion and assessed the quality of all included studies using the checklist by ISPOR Task Force for Conjoint Analysis. We categorized the attributes of primary care based on Primary Care Monitoring System framework and factors based on Andersen’s Behavioural Model of Health Services Use. We then assessed the strength of evidence and direction of preference for the attributes of primary care, and factors affecting preference heterogeneity based on study quality and consistency in findings.

Results

Of 35 included studies, most (82.4%) were performed in high-income countries. Each study examined 3–8 attributes, mainly identified through literature reviews (n = 25). Only six examined visits for chronic conditions, with the rest on acute or non-specific / other conditions. Process attributes were more commonly examined than structure or outcome attributes. The three most commonly examined attributes were waiting time for appointment, out-of-pocket costs and ability to choose the providers they see. We identified 24/58 attributes with strong or moderate evidence of association with primary care uptake (e.g., various waiting times, out-of-pocket costs) and 4/43 factors with strong evidence of affecting preference heterogeneity (e.g., age, gender).

Conclusions

We found 35 conjoint analyses examining 58 attributes of primary care and 43 factors that potentially affect the preference of these attributes. The attributes and factors, stratified into evidence levels based on study quality and consistency, can guide the design of research or policies to improve patients’ uptake of primary care. We recommend future conjoint analyses to specify the types of visits and to define their attributes clearly, to facilitate consistent understanding among respondents and the design of interventions targeting them.

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Fear of nosocomial HIV infection may be a barrier to HIV testing among young college and university students in Suzhou, China

ObjectiveHuman immunodeficiency virus (HIV) test uptake among college and university students in China remains suboptimal. This study aimed to identify and weigh the relative importance of HIV testing preferences among university students in China. Participants and methods: Qualitative interviews and discrete choice experiments (DCE) were used to identify and assess HIV testing preferences in hypothetical HIV testing scenarios. Study participants were sexually experienced university students in Suzhou city, China. Results: 198 participants completed 1980 DCE choice tasks. Risk of nosocomial HIV infection, accuracy, and distance were identified as the most important factors when deciding whether to test for HIV. Risk of nosocomial HIV infection was the most influential factor, accounting for 35.5% of the variation in participants' DCE stated choices. Conclusions: Fear of HIV nosocomial infection may be influencing HIV test preferences and possibly test uptake among university students in China. Interventions should consider addressing students' fear of HIV nosocomial infection as a potential barrier to HIV testing.

Do Residents and Healthcare Providers Differ in Preference for Family Doctor Contract Service? Evidence From a Discrete Choice Experiment

Objective

Few are known on how and to what extent residents and healthcare providers have different preferences for family doctor contract service (FDCS). This study aimed to elicit and compare the residents' and healthcare providers' preferences for FDCS through a discrete choice experiment (DCE).

Methods

Residents and healthcare providers recruited for the DCE were asked to choose repeatedly between two hypothetical service plans, which differed in six attributes: cost, service package, service delivery, type of service, accessibility of medicine, and level of healthcare team. We use mixed logit regression models to determine preferences for potential attributes.

Results

A total of 2,159 residents and 729 healthcare providers completed valid DCE questionnaires. The mixed logit model results suggested that cost, service package, service delivery, type of service, accessibility of medicine, and level of healthcare team all had a significant impact on residents' and healthcare providers' preference. The level of healthcare team was the most important characteristic of FDCS to both residents and healthcare providers, followed by types of service. They have different preferences on the cost and way of service delivery.

Conclusions

This study provides new evidence on how and to what extent residents and healthcare providers have different preferences for FDCS by determining their perception of various service attributes. These findings suggested that the optimal design and improvement of FDCS plans should consider not only residents but also healthcare providers' preferences to maximize contract service uptake.

Preferences for healthcare services among hypertension patients in China: a discrete choice experiment

OBJECTIVES

Our study aimed to support evidence-informed policy-making on patient-centred care by investigating preferences for healthcare services among hypertension patients.

DESIGN

We identified six attributes of healthcare services for a discrete choice experiment (DCE), and applied Bayesian-efficient design with blocking techniques to generate choice sets. After conducting the DCE, we used a mixed logit regression model to investigate patients' preferences for each attribute and analysed the heterogeneities in preferences. Estimates of willingness to pay were derived from regression coefficients.

SETTING

The DCE was conducted in Jiangsu province and Shanghai municipality in China.

PARTICIPANTS

Patients aged 18 years or older with a history of hypertension for at least 2 years and who took medications regularly were recruited.

RESULTS

Patients highly valued healthcare services that produced good treatment effects (β=4.502, p<0.001), followed by travel time to healthcare facilities within 1 hour (β=1.285, p<0.001), and the effective physician-patient communication (β=0.771, p<0.001). Continuity of care and minimal waiting time were also positive predictors (p<0.001). However, the out-of-pocket cost was a negative predictor of patients' choice (β=-0.168, p<0.001). Older adults, patients with good health-related quality of life, had comorbidities, and who were likely to visit secondary and tertiary hospitals cared more about favourable effects (p<0.05). Patients were willing to pay ¥2489 (95% CI ¥2013 to ¥2965) as long as the clinical benefits gained were substantial.

CONCLUSIONS

Our findings highlight the importance of effective, convenient, efficient, coordinated and patient-centred care for chronic diseases like hypertension. Policy-makers and healthcare providers are suggested to work on aligning the service provision with patients' preferences.

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.

Is relational continuity of care as important to people as policy makers think? Preferences for continuity of care in primary care

BACKGROUND

In 2005, the Portuguese government launched a Primary Care reform that aimed to reinforce continuity of care. After a promising start, the reform is still incomplete and continuity has been compromised by the lack of General Practice doctors.

OBJECTIVE

This study evaluates public preferences for relational continuity of care alongside other attributes of Primary Care services in Portugal.

METHODS

We use a discrete choice experiment (DCE) to evaluate preferences and estimate the population's willingness to pay (WTP) for Primary Care attributes. We use a sequential, mixed-methods approach to develop a D-efficient fractional factorial design for the DCE. Five attributes were included in the DCE and there were 32 DCE choice sets. The data collection was conducted in 2014 and the final sample had 517 respondents. A random parameters multinomial logit was used to analyse the data.

RESULTS

We find that respondents value relational continuity of care, but that the current focus of the Portuguese NHS on relational continuity at the expense of other attributes is too simplistic.

CONCLUSIONS

Relational continuity should be part of a broader policy that emphasizes person-centred care and considers the preferences of patients for Primary Care attributes.

Promoting healthy eating habits among youth according to their preferences: Indications from a discrete choice experiment in Tuscany

INTRODUCTION

The incidence of overweight among youth in Western Countries requires the implementation of initiatives to promote healthy lifestyles. Although under particular conditions obesity is not preventable, drawing attention on factors affecting teenagers' preferences can ameliorate the efficacy of public interventions designed for health promotion.

METHODS

This study aims at eliciting teenagers' food preferences through a discrete choice experiment, conducted in Tuscany using a webAPP survey, with the participation of more than 4,700 teenagers. Respondents expressed their preferences for breakfast food based on three attributes: food quality, packaging and claim. The survey also collected information on respondents' socio-demographic characteristics, social influence and media use for food information.

RESULTS

Teenagers' preferences for healthy foods seem positively related with their own level of food literacy. The tendency of respondents to read labels and nutritional facts is positively associated with preferences for healthier foods. Peers' influence is not significant, while family influence has a positive impact on teenagers' healthy choices. Internet usage is associated with unhealthy choices with a healthy aspect.

CONCLUSION

The results can be useful in defining effective actions for the promotion of healthy behaviors among teenagers, either in communication and awareness campaigns or in education and activation initiatives, with respect to the reading and interpretation of nutritional facts and labels, the role of family and friends, and the use of media.

Physical Activity in the Daily Life of Adolescents: Factors Affecting Healthy Choices from a Discrete Choice Experiment

Physical activity improves peoples’ well-being and can help in preventing weight gain, obesity, and related non-communicable diseases. Promoting healthy behaviors in the daily travels and transport choices of adolescents is very important in early establishing healthy habits that imply routine physical activity. For designing and developing effective strategies, it is relevant to study adolescents’ preferences for physical activity and what factors in the social and environmental contexts affect their preferences. The paper investigates these aspects by means of a discrete choice experiment, using data from more than 4300 16–17 year-old adolescents in Italy. The results show that adolescents generally prefer walking for long time alone. However, females prefer cycling, while adolescents from lower educated families prefer motorized means of transport. Environmental factors affect the adolescents’ preferences: living nearby a green area is associated with more active and healthier choices in their short daily travels. Conversely, adolescents living closer to an industrial or high traffic area prefer to use motorized vehicles. Such findings have been discussed and policy implications presented, in order to support policymakers in designing cross-sectoral policies to promote healthy choices related to physical activity in adolescence.

Preferences for Primary Healthcare Services Among Older Adults with Chronic Disease: A Discrete Choice Experiment

PURPOSE

The aim of this study was to quantify the relative importance of the preference heterogeneity of Chinese older adults with chronic disease for primary healthcare service (PHCS) in the hypothetical minor chronic disease scenario.

PATIENTS AND METHODS

A discrete choice experiment (DCE) was administered to the patients aged 60 and above with at least one chronic disease in China. Five DCE attributes were considered, including types of service, treatment options, out-of-pocket (OOP) cost per visit, distance to practice, and the seniority of medical practitioners. DCE data were analysed taking into account of potential preference heterogeneity using both a mixed logit model (MLM) and a latent class logit model (LCLM).

RESULTS

A total of 432 respondents consented to complete the questionnaires and 372 valid respondents were included in analysis. All attributes were significantly influencing respondents' PHCS choice except for the types of service. Significant preference heterogeneity was observed among respondents. Based on the preferred LCLM estimates, four latent classes were identified. The first class (28.8%) valued modern medicine service the most, the second class (17.8%) was dominated by distance to practice, the third class (29%) preferred all the attributes except the types of services and valued TCM service most, the fourth class (24.4%) paid more attention to the types of service. Education, gender, age, income, regions of residence, and status of the chronic condition were found to be associated with latent class memberships.

CONCLUSION

A better understanding of the relative importance of PHCS characteristics is a crucial step for the future policy implementations. The significant preference heterogeneity identified in this study highlights that effective policy interventions should be tailored to different patients' characteristics.

Towards improving primary care: Considerations on a Sicilian population-based survey

Background

The healthcare reforms have led to the development of new primary care systems. These models allowed responding to people's needs but with problems in maintaining the relational continuity between the patient and therapist.

Materials and Methods

We performed a survey on 12 May 2018, in Messina (Sicily, Italy), during an informational event. Participants were invited to fill in a self-reported Italian questionnaire composed of 12 multiple-choice questions, specifically created by the authors. The tool included the assessment of the social status, the presence of chronic diseases, preference in health care, and evaluation of the services offered in the territory.

Results

As for the territorial services, we observed that the general practitioner (GP) was the most appreciated healthcare provider, followed by the nurse.

Conclusions

We believe that nurses can represent the most appropriate healthcare figure to potentiate GP's patient management in primary territorial care.

Stated-preference research in HIV: A scoping review

Discrete choice experiments (DCE), conjoint analysis (CA), and best-worst scaling (BWS) are quantitative techniques for estimating consumer preferences for products or services. These methods are increasingly used in healthcare research, but their applications within the field of HIV research have not yet been described. The objective of this scoping review was to systematically map the extent and nature of published DCE, CA, and BWS studies in the field of HIV and identify priority areas where these methods can be used in the future. Online databases were searched to identify published HIV-related DCE, CA and BWS studies in any country and year as the primary outcome. After screening 1,496 citations, 57 studies were identified that were conducted in 26 countries from 2000-2017. The frequency of published studies increased over time and covered HIV themes relating to prevention (n = 25), counselling and testing (n = 10), service delivery (n = 10), and antiretroviral therapy (n = 12). Most studies were DCEs (63%) followed by CA (37%) and BWS (4%). The median [IQR] sample size was 288 [138-496] participants, and 74% of studies used primary qualitative data to develop attributes. Only 30% of studies were conducted in sub-Saharan Africa where the burden of HIV is highest. Moreover, few studies surveyed key populations including men who have sex with men, transgender people, pregnant and postpartum women, adolescents, and people who inject drugs. These populations represent priorities for future stated-preference research. This scoping review can help researchers, policy makers, program implementers, and health economists to better understand the various applications of stated-preference research methods in the field of HIV.

Choosing Video Instead of In-Clinic Consultations in Primary Care in Israel: Discrete Choice Experiment Among Key Stakeholders-Patients, Primary Care Physicians, and Policy Makers

BACKGROUND

Despite its innovative benefits, the adoption of video consultations (VCs) in primary care settings is complex and slow.

OBJECTIVES

To quantify the preferences of key stakeholders in Israel's primary care-patients, primary care practitioners, and policy makers-regarding VCs compared with traditional in-clinic consultations (ICC) in nonurgent conditions.

METHODS

Discrete choice experiment surveys were completed by 508 patients, 311 physicians, and 141 policy makers. These consisted of 12 choice tasks of 2 labeled alternatives (VC or ICC), with the 4 attributes most relevant to each stakeholder group. A random effects logit model analysis was used to estimate stakeholders' preferences.

RESULTS

All 4 experiments' attributes were significantly important in choosing VC versus ICC for the patient group and the physician group. Three out of 4 attributes were significantly important to policy makers. Differences and similarities between stakeholders were identified in attribute rank order, trade-offs, and VC uptake probabilities. Policy makers' VC uptake rate was 86%. Patients' preferences suggested that 68% of ICCs could be replaced by VCs. Physicians' VC uptake was 30% in cases in which the consultation purpose was to diagnose and provide treatment and 48% in cases in which the consultation purpose was follow-up.

CONCLUSIONS

Our findings show key stakeholders' preferences about VC integration, to be considered when these systems are introduced into primary care and optimize the implementation process. Although there is a stronger preference for ICC among physicians and patients, alternative combinations of attribute levels might be used to compensate and reconfigure a more preferred VC service.

Policy proposals for a new welfare: the development of the family and community nurse in Italy as the key to promote social capital and social innovation

AIM

To discuss the development of the family and community health nurse (FCHN) in Italy by focusing on three levels: organisational, political and theoretical.

BACKGROUND

The role of the FCHN in Italy is not yet embedded evenly across the Italian National Health System (INHS) and does not have formal recognition, either contractually or organisationally. Although complementary post-basic training has been available for over a decade, the FCHN's role in Italy currently exists only in pilot form. In some regions, the FCHN has operated for longer, thanks to which a clearer understanding of the functions and responsibilities required by the FCHN has emerged. Proposals for professional and social policies have emerged, as the FCHN's role may be an answer to health problems and a contributor to the construction of social capital, capable of influencing both individual and collective well-being.

METHODS

A mixed method investigation via a parallel concurrent design to identify the organisational models for the FCHN was conducted across Italy. In this paper, two profiles are discussed - family and community health nursing and FCHN - but each with its different connotations. The former refers to the practice of nursing and the latter to the nursing practitioners working with family and the community.

CONCLUSION

We describe the expected future outcomes for FCHNs as elements of social innovation for the development of a new welfare system.

Video or In-Clinic Consultation? Selection of Attributes as Preparation for a Discrete Choice Experiment Among Key Stakeholders

INTRODUCTION

Video consultations (VCs) provide increased accessibility of primary care to remote areas and overall improved care for chronic patients. They also contribute to higher patient satisfaction and improved resource management. Despite these benefits, VC integration into the health system is complex and slow. Understanding the VC-related preferences of three key stakeholders-patients, primary care physicians (PCPs) and policy makers (PMs)-is crucial for achieving optimal implementation.

OBJECTIVE

The aim of this study was to select relevant attributes and levels for a discrete choice experiment (DCE) of stakeholders' choice-VC or traditional in-clinic consultation (I-CC) in primary care.

METHODS

Ten semi-structured focus group interviews and 24 semi-structured individual interviews were conducted. Data analysis was performed inductively, using a thematic content analysis method. An attribute-ranking exercise was then conducted based on the results gleaned from the interviews.

RESULTS

The most important attributes when choosing either VC or I-CC, for both patients and PMs, were: (1) time to next available appointment; (2) time in line before consultation; (3) relationship to PCP; and (4) quality of consultation. For PCPs, the most important attributes were: (1) time in line before consultation; (2) patient's self-management ability; (3) consultation purpose; (4) quality of consultation.

CONCLUSIONS

This qualitative study identified attributes and levels for a DCE quantitative stage among three key stakeholder groups. It adds to the literature of examples of developing DCE attributes, and to literature about the stakeholder benefits in the area of telemedicine in healthcare.

Distance to the Pediatric Emergency Department and Nonurgent Visits in Friuli Venezia Giulia, Italy

OBJECTIVES

Our objective was to assess how the distance from home to the closest pediatric emergency department (ED) affects nonurgent emergency room visits among the child population of the Northeastern Italian region of Friuli Venezia Giulia.

METHODS

The study was based on the administrative databases of the Regional Health Information System of Friuli Venezia Giulia. For the year 2014, we abstracted the records of all white-triage-tag visits of children younger than 16 years from the databases of the 3 regional pediatric EDs located in the 3 main cities. Those records were individually linked to the regional population's georeferenced address database through an anonymous univocal identifier. For each child younger than 16 years living within 20 km from an ED, we calculated the linear distance between the ED and home address. Distances were grouped into 7 circular distance bands: less than 2, 2 to 4, 4 to 6, 6 to 8, 8 to 10, 10 to 15, and 15 to 20 km. Within each band, we calculated the rate of ED visits during the year.

RESULTS

In 2014, there were 12,055 white-triage-tag visits accounting for 24.7% of all visits in the regional pediatric EDs. Although the overall rate of ED visits was different among the EDs, it decreased significantly with increasing distance to the ED, with a 6-fold difference between the innermost and the outermost bands.

CONCLUSIONS

In Friuli Venezia Giulia, short distance is a prompter for inappropriate pediatric ED attendance. Further research is needed in this region to understand the parental standpoint to implement strategies promoting uniform behaviors within the regional boundaries.

Application of discrete choice experiments to enhance stakeholder engagement as a strategy for advancing implementation: a systematic review

Background

One of the key strategies to successful implementation of effective health-related interventions is targeting improvements in stakeholder engagement. The discrete choice experiment (DCE) is a stated preference technique for eliciting individual preferences over hypothetical alternative scenarios that is increasingly being used in health-related applications. DCEs are a dynamic approach to systematically measure health preferences which can be applied in enhancing stakeholder engagement. However, a knowledge gap exists in characterizing the extent to which DCEs are used in implementation science.

Methods

We conducted a systematic literature search (up to December 2016) of the English literature to identify and describe the use of DCEs in engaging stakeholders as an implementation strategy. We searched the following electronic databases: MEDLINE, Econlit, PsychINFO, and the CINAHL using mesh terms. Studies were categorized according to application type, stakeholder(s), healthcare setting, and implementation outcome.

Results

Seventy-five publications were selected for analysis in this systematic review. Studies were categorized by application type: (1) characterizing demand for therapies and treatment technologies (n = 32), (2) comparing implementation strategies (n = 22), (3) incentivizing workforce participation (n = 11), and (4) prioritizing interventions (n = 10). Stakeholders included providers (n = 27), patients (n = 25), caregivers (n = 5), and administrators (n = 2). The remaining studies (n = 16) engaged multiple stakeholders (i.e., combination of patients, caregivers, providers, and/or administrators). The following implementation outcomes were discussed: acceptability (n = 75), appropriateness (n = 34), adoption (n = 19), feasibility (n = 16), and fidelity (n = 3).

Conclusions

The number of DCE studies engaging stakeholders as an implementation strategy has been increasing over the past decade. As DCEs are more widely used as a healthcare assessment tool, there is a wide range of applications for them in stakeholder engagement. The DCE approach could serve as a tool for engaging stakeholders in implementation science.

Electronic supplementary material

The online version of this article (10.1186/s13012-017-0675-8) contains supplementary material, which is available to authorized users.

Patients' preferences for primary health care - a systematic literature review of discrete choice experiments

BACKGROUND

Primary care is a key element of health care systems and addresses the main health problems of the population. Due to the demographic change, primary care even gains in importance. The knowledge of the patients' preferences can help policy makers as well as physicians to set priorities in their effort to make health care delivery more responsive to patients' needs. Our objective was to describe which aspects of primary care were included in preference studies and which of them were the most preferred aspects.

METHODS

In order to elicit the preferences for primary care, a systematic literature search was conducted. Two researchers searched three electronic databases (PubMed, Scopus, and PsycINFO) and conducted a narrative synthesis. Inclusion criteria were: focus on primary health care delivery, discrete choice experiment as elicitation method, and studies published between 2006 and 2015 in English language.

RESULTS

We identified 18 studies that elicited either the patients' or the population's preferences for primary care based on a discrete choice experiment. Altogether the studies used 16 structure attributes, ten process attributes and four outcome attributes. The most commonly applied structure attribute was "Waiting time till appointment", the most frequently used process attribute was "Shared decision making / professional's attention paid to your views". "Receiving the 'best' treatment" was the most commonly applied outcome attribute. Process attributes were most often the ones of highest importance for patients or the population. The attributes and attribute levels used in the discrete choice experiments were identified by literature research, qualitative research, expert interviews, or the analysis of policy documents.

CONCLUSIONS

The results of the DCE studies show different preferences for primary health care. The diversity of the results may have several reasons, such as the method of analysis, the selection procedure of the attributes and their levels or the specific research question of the study. As the results of discrete choice experiments depend on many different factors, it is important for a better comprehensibility of the studies to transparently report the steps undertaken in a study as well as the interim results regarding the identification of attributes and levels.

Patients' preferences for attributes related to health care services at hospitals in Amhara Region, northern Ethiopia: a discrete choice experiment

BACKGROUND

Information from the patient's point of view is essential in policy and clinical decisions. Prioritizing what patients value, need, and prefer in various aspects of a health program can be helpful in evaluating and designing hospital health care services.

OBJECTIVE

To examine patients' preference for attributes related to health care services and to ascertain the relative impact of attributes at hospitals in Amhara Region, northern Ethiopia.

METHODS

A stated-preference discrete choice experiment survey was performed in multistage, stratified, and systematic sampling of patients who visited the hospitals. Attributes were selected based on a literature review of the most important characteristics of hospital health care service and reviewed and validated with inputs from patients and researchers in the field. Attributes included in the study were waiting time, physician communication, nursing communication, drug availability, continuity of care, and diagnostic facilities. A random-effects probit model was used to perform the analysis.

RESULTS

One thousand and five respondents who received care in the outpatient and inpatient departments participated in the study. All attributes included in the study affected the choice of hospital. Patients were willing to wait up to 3.3 hours and 2.7 hours to get full drugs in the hospital and good nursing communication, respectively. The interaction terms indicate that preferences differ with the variables sex, occupation, and type of hospital. Patients expressed clear preferences in a decreasing order of all the significant attribute levels: a lot of diagnostic facilities, full drug availability, continuity of care, good nursing communication, partial drug availability, good physician communication, and shorter waiting time for the consultation.

CONCLUSION

Different hospital care attributes had a significant and different influence on patients' choice of hospital. The study informs about patients' preferences and the trade-offs among different possible process-related attributes. Decision makers should focus on patient preferences and consider selected attributes when designating hospital services, and hence to maximize patient satisfaction.