ArticleHealth policy and planning2020
The impact of hospital attributes on patient choice for first visit: evidence from a discrete choice experiment in Shanghai, China.
Article in Health policy and planning, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Choice of primary healthcare providers among population in urban areas of low- and middle-income countries: a systematic review of literature.BMC primary care · 2026Pooled it
- The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.PharmacoEconomics · 2025Pooled it
- Inequality in hospital bed supply and utilization across regions and departments: evidence from China.Cost effectiveness and resource allocation : C/E · 2026Article
- Urban residents' choice preferences for hospitals at different tiers and influencing factors: a study based on latent class analysis and Andersen's model of health service utilization.BMC primary care · 2026Article
- Determinants of influenza vaccine preferences among community-dwelling older adults residents: a discrete choice experiment in Shihezi, China.BMC geriatrics · 2026Article
- Adolescents versus healthcare providers preferences for abortion services: evidence from a discrete choice experiment in Jiangsu, China.Reproductive health · 2026Article
- Geographic disparities in inpatient service in primary care and patients' choice of first point of consultation: a linked cross-sectional survey and administrative data analysis in Shaanxi of China.International journal for equity in health · 2025Article
- Health literacy profiles correlate with participation in primary health care among patients with chronic diseases: a latent profile analysis.Frontiers in public health · 2025Article
- The effect of patient participation on trust in primary health care physicians among patients with chronic diseases: the mediating role of perceived value.Frontiers in public health · 2025Article
- Healthcare preferences of chronic disease patients under China's hierarchical medical system: an empirical study of Tianjin's reform practice.Scientific reports · 2024Article
- What do Iranians value most when choosing a hospital? Evidence from a discrete choice experiment.PloS one · 2024Article
- Factors Influencing the Implementation of a Fall Prevention Exercise Program for Community-Dwelling Older Adults: A Qualitative Study Guided by the PRECEDE-PROCEED Model.Clinical interventions in aging · 2024Article
- Association between medication complexity and follow-up care attendance: insights from a retrospective multicenter cohort study across 1,223 Chinese hospitals.Frontiers in pharmacology · 2024Article
- Preference of urban and rural older people in Shandong Province for long-term care insurance: based on discrete choice experiment.Frontiers in public health · 2024Article
- Preference for community health services in people with chronic diseases: a discrete choice experiment in China.Frontiers in public health · 2024Article
- Health service behaviors of migrants: A conceptual framework.Frontiers in public health · 2023Article
- Preferences for public long-term care insurance among middle-aged and elderly residents: A discrete choice experiment in Hubei Province, China.Frontiers in public health · 2023Review
- Effect of hospital attributes on patient preference among outpatient attendants in Wolaita Zone, Southern Ethiopia: discrete choice experiment study.BMC health services research · 2022Article
- Stated preferences for family doctor contract services: a survey of the rural elderly in Anhui Province, China.BMJ open · 2022Article
- Can the implementation of family doctor contracted service enable the elderly to utilize primary health care services more equally? empirical evidence from Shandong, China.BMC primary care · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.