Evidence map›Paper›PMID 39628809›Full record

ArticleFrontiers in public health2024

Influencing factor analysis of family doctor contract service among older adults: evidence from China.

Shiyu Xie, Zihan Ni, Xiya Yang, Ningze Xu, Chengfang Zhu, Liting Huo, Xiuyuan Zhu, Xiaoguang Yang

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

8 authors.

Shiyu Xie *School of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Zihan Ni *School of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Xiya Yang *School of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Ningze XuSchool of Public Health, Fudan University, Shanghai, China.
Chengfang ZhuWangying Community Health Service Center, Huai'an, China.
Liting HuoShanghai Publishing and Printing College, Shanghai, China.
Xiuyuan ZhuSchool of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Xiaoguang YangChinese Hospital Development Institute, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Family doctor contract services are essential to primary healthcare and play a significant role in improving the health of older adults. However, contract rates among older adults vary widely. Investigating the factors influencing contract rates is crucial for optimizing policies and increasing participation in family doctor services. Methods: This study used data from Wangying Community Health Service Center, encompassing 5,684 older adults in 2018. To address the endogeneity issue arising from sample selection bias, the study utilized a 1:1 nearest-neighbor matching method for counterfactual testing, balancing potential confounding factors between the contract and non-contract groups. Subsequently, multiple logistic regression analysis was performed on the matched data to explore the impact of gender, age, number of medical visits, and the number of chronic conditions on family doctor contract behavior. Results: Gender did not significantly impact contracting behavior. However, age, the number of medical visits, and the number of chronic diseases significantly influenced family doctor contract ( Conclusion: The factors influencing older residents' decisions to sign up for family doctor services are complex and diverse. The conclusion of the study provides valuable reference and guidance for policymakers to further improve the family doctor contracting system and optimize contracting strategies by considering the characteristics of different older adults.

Indexed as

Contract ServicesAgedAged, 80 and overChinaFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPhysicians, FamilyPrimary Health Carefamily doctorfamily doctor contract serviceinfluencing factorsolder adultsprimary healthcare

Identifiers

PMID39628809
PMCPMC11611717

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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.