Evidence map›Paper›PMID 31830248›Full record

ArticleHealth policy and planning2020

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

Yun Liu, Qingxia Kong, Shan Wang, Liwei Zhong, Joris van de Klundert

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yun LiuErasmus School of Health Policy & Management, Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, the Netherlands.
Qingxia KongRotterdam School of Management, Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, the Netherlands.
Shan WangLingnan College, Sun Yat-sen University, 135 Xingang Xi Road, J.T. Wu Hall 320, Guangzhou 510275, China.
Liwei ZhongSchool of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, 650 Songjiang Road, Shanghai 201620, China.
Joris van de KlundertErasmus School of Health Policy & Management, Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Choice BehaviorPatient PreferenceAdultChinaCommunity Health CentersFemaleHealth FacilitiesHumansMaleMiddle AgedPatient Acceptance of Health CarePrimary Health CareTime FactorsTransportationUrban Populationdecision-makingHealth care seeking behaviourhealth care utilizationhealth systemshospitalspriority setting

Identifiers

PMID31830248
PMCPMC7152730

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.