Dataset Information

Doctor's Preference in Providing Medical Service for Patients in the Medial Alliance: A pilot Discrete Choice Experiment.

ABSTRACT: This cross-sectional survey study explored whether doctors in Guangdong, China preferred to provide extra healthcare services within the context of their medical alliances (MAs). Specifically, a discrete choice experiment (DCE) was conducted to investigate whether doctors preferred to provide extra services at low-tier hospitals within their MAs. A literature review, focus group interview, and expert group discussion resulted in three main attributes (i.e., working time, income, and hospital location) and corresponding levels, which were combined to create 24 profiles that were randomly presented to participants. A conditional logit model was then employed to calculate utility scores for all profiles. A total of 311 doctors completed the DCE questionnaire. The coefficients for each level within the three attributes were ordered and found to be statistically significant. Working time had the greatest influence on utility scores, increasing by one hour per week (beta = 1.4, odds ratio (OR) = 4.07, p < 0.001), followed by income, which increased by 30% per month (beta = 1.19, OR = 3.3, p < 0.001). The utility scores for all profiles ranged between -0.27 and 3.07. Findings indicated that participants made trade-offs with respect to providing extra services within their MAs. Furthermore, utility varied between different subpopulations.

SUBMITTER: Xu RH

PROVIDER: S-EPMC7177240 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Doctor's Preference in Providing Medical Service for Patients in the Medial Alliance: A pilot Discrete Choice Experiment.

Xu Richard Huan RH Zhou Lingming L Li Yong Y Wang Dong D

International journal of environmental research and public health 20200326 7

This cross-sectional survey study explored whether doctors in Guangdong, China preferred to provide extra healthcare services within the context of their medical alliances (MAs). Specifically, a discrete choice experiment (DCE) was conducted to investigate whether doctors preferred to provide extra services at low-tier hospitals within their MAs. A literature review, focus group interview, and expert group discussion resulted in three main attributes (i.e., working time, income, and hospital loc ...[more]

PMID: 32224902

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Project description:BackgroundNurse practitioners play a critical role in improving the access to care and in meeting the needs for health care. However, prior to the COVID-19 pandemic, the average turnover rate of nurse practitioners was 10 % with associated total direct cost that ranged from $85,832 to $114,919 for each episode of turnover in the United States. Little is known about the job preference of nurse practitioners and the cost savings to an organization that provides jobs with characteristics attractive to nurse practitioners.ObjectiveThe aim of this study was to identify the preferred job characteristics that are associated with nurse practitioners' job choices; and to determine the extent to which nurse practitioners would need to be compensated for practicing without these characteristics.DesignA two-stage design using a mixed method approach.Setting(s)The state of Georgia in the United States.Participants2757 nurse practitioners who were actively licensed were invited to participate. Of the 412 participants, 372 actively employed in Georgia were included in the analysis.MethodsA 2-stage discrete choice experiment was designed. Stage-1 was a qualitative design using a focus group to identify nurse practitioners' preferred job characteristics. Stage-2 was a quantitative design using survey distribution and analysis. A mixed logit model was used for ranking nurse practitioners' preferred job characteristics and the extent to which they would need to be compensated.ResultsOn average nurse practitioners were 47.4 years of age; the majority were female (90 %), white (75.3 %), and educated at the master's level (88.7 %). Participants did not value teams that were not very cohesive (β = -1.50); administration that was not very responsive and supportive (β = -1.04); being supervised by a physician (β = -0.58); not having their own panel of patients (β = -0.42); and not billing under their own National Provider Identifier (β = -0.18). Participants would need an increase in annual income of USD$21,780 for practicing in a not very cohesive team; USD$15,280 for practicing with a not very responsive administration; and USD$21,450 for being supervised by a physician.ConclusionsA cohesive, responsive, and supportive working environment and being able to practice independently are important characteristics for nurse practitioners when choosing a job. Healthcare managers should provide a workplace culture that reflects these preferred job characteristics to attract and retain nurse practitioners. Policymakers should consider reforming the scope of practice legislation to promote the independent practice of nurse practitioners.

Project description: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.

Project description:ObjectivesThe global coronavirus disease 2019 (COVID-19) pandemic has not been well controlled, and vaccination could be an effective way to prevent this pandemic. By accommodating attribute nonattendance (ANA) in a discrete choice experiment (DCE), this paper aimed to examine Chinese public preferences and willingness to pay (WTP) for COVID-19 vaccine attributes, especially the influence of ANA on the estimated results.MethodsA DCE was designed with four attributes: effectiveness, protection period, adverse reactions and price. A random parameter logit model with an error component (RPL-EC) was used to analyse the heterogeneity of respondents' preferences for COVID-19 vaccine attributes. Two equality constraint latent class (ECLC) models were used to consider the influence of ANA on the estimated results in which the ECLC-homogeneity model considered only ANA and the ECLC-heterogeneity model considered both ANA and preference heterogeneity.ResultsData from 1,576 samples were included in the analyses. Effectiveness had the highest relative importance, followed by adverse reactions and protection period, which were determined by the attributes and levels presented in this study. The ECLC-heterogeneity model improved the goodness of fit of the model and obtained a lower probability of ANA. In the ECLC-heterogeneity model, only a small number of respondents (29.09%) considered all attributes, and price was the most easily ignored attribute (64.23%). Compared with the RPL-EC model, the ECLC-homogeneity model obtained lower WTPs for COVID-19 vaccine attributes, and the ECLC-heterogeneity model obtained mixed WTP results. In the ECLC-heterogeneity model, preference group 1 obtained higher WTPs, and preference groups 2 and 3 obtained lower WTPs.ConclusionsThe RPL-EC, ECLC-homogeneity and ECLC-heterogeneity models obtained inconsistent WTPs for COVID-19 vaccine attributes. The study found that the results of the ECLC-heterogeneity model considering both ANA and preference heterogeneity may be more plausible because ANA and low preference may be confused in the ECLC-homogeneity model and the RPL-EC model. The results showed that the probability of ANA was still high in the ECLC-heterogeneity model, although it was lower than that in the ECLC-homogeneity model. Therefore, in future research on DCE (such as the field of vaccines), ANA should be considered as an essential issue.Public contributionChinese adults from 31 provinces in mainland China participated in the study. All participants completed the COVID-19 vaccine choice questions generated through the DCE design.

Project description:Although the number of medical workers has increased rapidly, its scarcity in rural areas remains a serious problem in China. This study aimed to investigate medical students' stated preferences when choosing a job, so as to assist policy makers with designing alternative interventions to address the unbalanced distribution of the health workforce in China.A discrete choice experiment (DCE) was conducted to elicit the job preferences of final year medical students. Attributes include work location, hospital type, monthly income, bianzhi (which can be loosely regarded as state administrative staffing), work environment, Training and career development opportunity. This study was carried out during April to June 2017 in 4 medical universities in Shandong Province, China. Mixed logit models were used to analyze the relative importance of job attributes.A total of 519 medical students participated in the survey. All 6 attributes were statistically significant with the expected sign and demonstrated the existence of preference heterogeneity. In the main effects mixed logit model, working in the city and a superior working environment were most strongly associated with job preference. A relatively unexpected finding was the relatively lower utility of offering bianzhi in job preferences. Subgroup analysis showed that females and those who have an urban background were significantly willing to pay more for working in the city. The most preferred scenario for medical students was to select a better work environment job in a tertiary hospital in the city, which could offer 9000 CNY monthly, with sufficient training and career development opportunities and bianzhi.Both monetary and nonmonetary intervention could be considered by policy makers to attract medical students to work in rural areas in China. There exists preference heterogeneity on medical students' job preferences, which should also be taken into account in developing more effective policy incentive packages.

Project description:Objective. We aim to evaluate patients' preferences for antiretroviral therapy (ART) to enhance shared decision making in clinical practice in Northwest Ethiopia. Methods. A discrete choice experiment approach was used among adult patients from 36 randomly selected public health facilities from February 6, 2023, to March 29, 2023. A literature review, qualitative work, ranking and rating surveys, and expert consultation were used to identify the attributes. Location, provider, frequency of visit, appointment modality, refill time, and cost of visit were the 6 ART service features chosen. Participants were given the option of choosing between 2 hypothetical differentiated ART delivery models. Mixed logit and latent class analysis were used. Results: Four hundred fifty-six patients completed the choice task. Respondents preferred to receive ART refills alone at health facilities by health care workers without having to have frequent visits and with reduced cost of visit. Overall, the participants valued the cost of the visit the most while they valued the timing of ART refill the least. Participants were willing to pay only for the attributes of frequency of visit and medication refill time. The latent class model with 3 classes provided the best model fit. Location, cost, and frequency were the most important attributes in class 1, class 2, and class 3, respectively. Income and marital status significantly predicted class membership. Conclusions. Respondents preferred to receive refills at health facilities, less frequent visits, individual appointments, service provision by health care workers, and reduced cost of visit. The cost attribute had the greatest impact on the choice of patients. Health care workers should consider the preferences of patients while providing ART services to meet patients' expectations and choices.HighlightsA discrete choice experiment was used to elicit patient preferences.People living with HIV preferred receiving medication refills at health facilities, less frequent visits, individual appointments, service delivery by health care workers, and lower visit costs.Health care workers should consider the preferences of patients while providing ART service to meet their expectations and choices.Scaling up differentiated HIV treatment services is crucial for patient-centered care.

Project description:Objectives: To survey, analyze, and ascertain the preferences for specialty pharmacy services among patients requiring complex care and to provide evidence to support specialty pharmacy service decision-making in China. Methods: To identify essential service attributes and levels, a review of the literature, discussions with specialty pharmacy managers and a pilot questionnaire were conducted. A D-efficient fractional factorial design was used to generate the discrete-choice experiment (DCE) questionnaire. A face-to-face survey of patients with chronic illness and their families or friends was conducted at three specialty pharmacies in Chengdu and Qingdao, China. A mixed logit model was used for estimation. Results: Six relevant attributes were identified and incorporated into the DCE questionnaire. A total of 417 participants completed the survey (mean age 43 years, 45.1% males), and 32.1% had lung cancer. The conditional relative importance showed that the most critical attribute was "frequency of telephone follow-up to monitor adverse drug reactions (ADRs), "followed by "mode of drug delivery," "provider of medication guidance services," and "availability of medical insurance consultation"; the least important attribute was "business hours." A 1 min increase in time spent led to a 0.73% decrease in the probability that a service profile would be chosen. Negative preferences were noted for ADR monitoring by telephone follow-up once a year (β = -0.23, p < 0.001) and business hours [8:30-20:00 (Monday to Friday), 8:30-17:30 (weekend)] (β = -0.12, p < 0.001). Compared with women, men had a higher preference for service monitoring ADRs once every 3 months. Conclusions: Preference measurements showed that "frequency of telephone follow-up to monitor ADRs" had the most critical impact on decisions, followed by "mode of drug delivery." Specialty pharmacies in China need to take these findings into account to improve their design to increase uptake and patient loyalty.

Dataset Information

Doctor's Preference in Providing Medical Service for Patients in the Medial Alliance: A pilot Discrete Choice Experiment.

Publications

Doctor's Preference in Providing Medical Service for Patients in the Medial Alliance: A pilot Discrete Choice Experiment.

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