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The impact of hospital attributes on patient choice for first visit: evidence from a discrete choice experiment in Shanghai, China.

ABSTRACT: The underutilization of primary care in urban China threatens the efficiency and effectiveness of the Chinese health system. To guide patient flow to primary care, the Chinese government has rolled out a sequence of health care reforms which improve the affordability, the infrastructure and workforce of the primary care system. However, these measures have not yielded the desired effect on the utilization of primary care, which is lowest in urban areas. It is unclear how the factors identified to influence facility choice in urban China are actually impacting choice behaviour. We conducted a discrete choice experiment to elicit the quantitative impact of facility attributes when choosing a health care facility for first visit and analysed how the stated choice varies with these attributes. We found that the respondents placed different weights on the identified attributes, depending on whether they perceived their condition to be minor or severe. For conditions perceived as minor, the respondents valued visit time, equipment and medical skill most. For conditions perceived as severe, they placed most importance on equipment, travel time and facility size. We found that for conditions perceived as minor, only 14% preferred visiting a facility over opting out, a percentage which would more than double to 37% if community health centres were maximally improved. For conditions perceived as severe, improvements in community health centres may almost double first visits to primary care, mostly from patients who would otherwise choose higher-level facilities. Our findings suggest that for both severity conditions, improvements to medical equipment and medical skill at community health centres in urban China can effectively direct patient flow to primary care and promote the efficiency and effectiveness of the urban health system.

SUBMITTER: Liu Y

PROVIDER: S-EPMC7152730 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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The impact of hospital attributes on patient choice for first visit: evidence from a discrete choice experiment in Shanghai, China.

Liu Yun Y Kong Qingxia Q Wang Shan S Zhong Liwei L van de Klundert Joris J

Health policy and planning 20200401 3

The underutilization of primary care in urban China threatens the efficiency and effectiveness of the Chinese health system. To guide patient flow to primary care, the Chinese government has rolled out a sequence of health care reforms which improve the affordability, the infrastructure and workforce of the primary care system. However, these measures have not yielded the desired effect on the utilization of primary care, which is lowest in urban areas. It is unclear how the factors identified t ...[more]

PMID: 31830248

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Project description:BackgroundPatient preference has preceded the use of health care services, and it has been affected by different hospital attributes. Meanwhile, the number of patients receiving vital health intervention is particularly low in Ethiopia. Therefore, this study aimed to determine the effect of hospital attributes on patient preference for outpatients in the Wolaita area in September 2020.MethodsA discrete choice experimental study was applied to determine the effect of hospital attributes on patient preference with a sample size of 1077. The experimental survey was conducted among outpatient attendants selected through a systematic random sampling approach. Six key attributes (competence of healthcare providers; availability of medical equipment and supplies; cost of service; wait time; distance; and hospital reputation) deduced from various hospital attributes were used to elicit the patient preferences. The data was collected from participants through the Open Data Kit application. A random effect probit model with marginal willingness to pay measure and partially log-likelihood analysis was applied to extract important attributes. We used STATA version 15 software for analysis, and the fitness of the model was verified by the calculated p-value for the Wald chi-square with a cut-point value of 0.05.ResultOne thousand forty-five patients who received outpatient care participated in the study. The random effect probit results have shown that all hospital attributes included in the study were significantly valued by patients while choosing the hospital (p-value < 0.001). Meanwhile, based on marginal willingness to pay and partial log-likelihood analysis, the competence of health care providers was identified as the most important attribute followed by the availability of medical equipment and supplies in hospitals.Conclusion and recommendationThe results suggested that the quality of health care providers and availability of medical equipment and supply in hospitals would be primary interventional points for improving the patient preference of hospitals. Assessment, education, and training are recommended for enhancing the quality of health care providers. And stock balance checks, inspections, and accreditation are believed to be valuable for improving the availability of equipment and supply in hospitals.

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.

Project description:BackgroundDry powder inhalers (DPIs) are often used in asthma and chronic obstructive pulmonary disease (COPD) therapies. Using the discrete choice experiment (DCE) methodology, this study conducted in France was designed to assess patients' preferences for different attributes of DPIs.MethodsAttributes of DPIs were defined based on a literature review, patient focus group discussions and interviews with healthcare professionals (qualitative phase of the study). An online survey was then conducted among French patients with asthma or COPD to elicit patient preferences and willingness to pay (WTP) for these attributes using the DCE methodology (quantitative phase). A fractional factorial design including three blocks of 12 choice sets was created. Each choice set comprised three alternatives: two fictitious inhalers and the patient's current inhaler. Marginal utilities were estimated using a ranked ordered logit model. Interactions between attributes and disease (asthma or COPD) were tested.ResultsSix DPI attributes were defined based on the qualitative phase: ease of use/fool-proof priming; accurate and easy-to-read dose counter; dose confirmation; hygiene of the mouthpiece; flexibility of the device handling; ability to use the inhaler with breathing difficulties. Overall, 201 patients with asthma and 93 with COPD were included in the online survey. Patients with asthma placed most value on an inhaler that requires one step for dose preparation (WTP €4.83 [95% CI: €3.77-€5.90], relative to an inhaler requiring four steps) and one that could be used during episodes of breathing difficulties (WTP €4.49 [95% CI: €2.95-€6.02]). Patients with COPD placed most value on an inhaler that could be used during episodes of breathing difficulties (WTP €7.70 [95% CI: €5.65-€9.76]) and on the accuracy of the dose counter (WTP €5.87 [95% CI: €3.98-€ 7.77]).ConclusionThis study suggests that asthma and COPD patients would be willing to change their inhaler if they were offered the option of a new inhaler with improved characteristics and they place a high value on an inhaler with ease of use during breathing difficulty episodes.

Project description:INTRODUCTION:Understanding patient preferences for attributes of type 2 diabetes mellitus (T2DM) medications may help explain how the attributes differentially affect patient perceptions and behaviors. In this survey, we quantified the relative preferences among patients in Germany and Spain in separate analyses. METHODS:A stated-preference, discrete-choice experiment (DCE) survey was designed to elicit preferences for T2DM treatment attributes among patients with self-reported T2DM and who reported being prescribed T2DM medication for > 2 years. Patients recruited from an online national consumer panel completed an online survey. The survey presented choices between eight pairs of hypothetical T2DM treatments defined by seven attributes: chance of reaching target hemoglobin A1c (HbA1c) level; reduced risk of serious heart attack or stroke; frequency of hypoglycemia; risk of gastrointestinal (GI) problems; weight change; mode of administration (oral or injectable); dosing frequency. Data were analyzed using random-parameters logit. Minimum acceptable benefit (MAB) was defined as the minimum increase in the probability of reaching target HbA1c for which respondents would accept less desirable levels of other attributes. RESULTS:In Germany and Spain, 474 and 401 respondents completed the survey, respectively. DCE analysis showed that risk of GI problems was most important to German respondents. MAB analysis found that respondents would require a 56 percentage point increase in the probability of reaching their HbA1c target to offset a change from 0% to 30% risk of GI problems. For Spanish respondents, mode of administration was the most important attribute. These respondents would require a 59 percentage point increase in the probability of reaching their HbA1c target to offset moving from oral to injectable medications. CONCLUSIONS:Respondents in Germany and Spain were willing to trade efficacy for improvements in side effects and mode of administration. Given the variety of T2DM medications currently available, the results suggest that careful discussion about patient preferences could help improve patient satisfaction with T2DM treatment.

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.

Dataset Information

The impact of hospital attributes on patient choice for first visit: evidence from a discrete choice experiment in Shanghai, China.

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The impact of hospital attributes on patient choice for first visit: evidence from a discrete choice experiment in Shanghai, China.

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