Evidence map›Paper›PMID 35241465›Full record

ArticleBMJ open2022

Stated preferences for family doctor contract services: a survey of the rural elderly in Anhui Province, China.

Cuilian Wang, Yuanyuan Gu, Linhai Zhao, Youran Zhang, Rui Zhou, Megan Gu, Lidan Wang

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

7 authors.

Cuilian Wang *School of Health Service and Management, Anhui Medical University, Hefei, Anhui, China.
Yuanyuan Gu *Centre for the Health Economy, Macquarie University, Sydney, New South Wales, Australia.
Linhai ZhaoSchool of Health Service and Management, Anhui Medical University, Hefei, Anhui, China.
Youran ZhangSchool of Health Service and Management, Anhui Medical University, Hefei, Anhui, China.
Rui ZhouSchool of Health Service and Management, Anhui Medical University, Hefei, Anhui, China.
Megan GuCentre for the Health Economy, Macquarie University, Sydney, New South Wales, Australia.
Lidan WangSchool of Health Service and Management, Anhui Medical University, Hefei, Anhui, China wanglidan@ahmu.edu.cn.ORCID 0000-0002-8668-1358

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA number of factors contribute to the utilisation of family doctor contract services (FDCS) in China. This study aims to measure the preferences of the elderly for the FDCS and identify the key factors (and their relative importance) that may guide policymakers in more accurately providing the FDCS. PARTICIPANTS AND

methodsA discrete choice experiment was performed to elicit the preferences for FDCS among the rural elderly in China. Attributes and levels were established based on qualitative methods. Four attributes were included: service type, service package, physician's reputation and annual contract costs. A D-efficient design was used to create a set of profiles that represented FDCS. The survey was conducted face to face using a sample of participants aged 60 and above in rural areas of Anhui Province. The data were analysed using a latent class logit (LCL) model.

resultsA total of 545 valid questionnaires were included in the analysis. The average age of the participants was 69.44 (SD 5.80). Two latent classes were identified with the LCL model. All four attributes proved statistically significant at the level of both the population mean and the two classes. The rural elderly showed a preference for FDCS with a relatively good reputation, lower annual contract costs, the basic service with the add-on of chronic disease service and home visit. Age, gender, education, self-reported health status and the number of chronic diseases were found to be associated with latent class membership.

conclusionIn this study, the physician's reputation had the largest impact on the rural elderly's choice of FDCS. Policy recommendations included the need to strengthen family doctor team training, devote greater attention to improving the family doctor's medical skills and service approaches, and increased FDCS efficiency for the care of the rural elderly.

Indexed as

Physicians, FamilyRural Health ServicesAgedChinaChronic DiseaseContract ServicesFemaleHumansRural PopulationSurveys and Questionnaireshealth economicshealth policypublic health

Identifiers

PMID35241465
PMCPMC8896044

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.