Evidence map›Paper›PMID 31048441›Full record

ArticleBMJ open2019

Determinants of inappropriate admission of elderly people in county-level hospitals: a cross-sectional study in rural China.

Xiaomei Hu, Hongxia Gao, Yan Zhang, Haomiao Li, Dai Su, Jingjing Chang, Di Jiang, Shihan Lei, Yingchun Chen

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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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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

2 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

9 authors.

Xiaomei Hu *School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Hongxia Gao *School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yan ZhangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID 0000-0003-3183-0034
Haomiao LiSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Dai SuSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Jingjing ChangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Di JiangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Shihan LeiSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yingchun ChenSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID 0000-0001-9400-0308

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this paper is to investigate the characteristics and determinants of inappropriate admission to hospital of elderly people in rural China.

designA cross-sectional study of a comparison between the elderly and non-elderly groups of people.

settingThe survey was conducted on the largest county-level general hospitals in four counties in central and western China.

participantsA total of 652 rural patients admitted in hospitals were surveyed, who were divided into two groups according to age: elderly group (n=230, age ≥60 years) and non-elderly group (n=422, age <60 years). PRIMARY MEASURES: The Chinese version of the appropriateness evaluation protocol was used to evaluate the inappropriate admission rates. The interactive regression models based on the relationship of age (elderly and non-elderly) with other factors and binary logistic regression models were used in the analysis of the specific factors and determinants of the inappropriate admission of elderly people.

resultThe inappropriate admission rate for the rural elderly was 30%, which was lower than that of the non-elderly people (40.8%). Compared with the non-elderly group, women in the elderly group (OR=0.33, 95% CI 0.15 to 0.73) had a lower incidence of inappropriate admission, and elderly people with chronic diseases (OR=3.33, 95% CI 1.23 to 9.04) were more prone to being inappropriately admitted than non-elderly people with chronic diseases. The binary logistic regression analysis shows that county, age (OR=0.94. 95% CI 0.90 to 0.99), gender (OR=0.49, 95% CI 0.25 to 2.98), department and response to doctor's admission request were the determinants of the inappropriate admission of elderly patients.

conclusionThe inappropriate admission rate of elderly people in rural China was high. We found that gender and chronic disease are the specific factors that were specific to non-elderly people. County, age, gender, department and response to a doctor's admission request had substantial influence on the inappropriate admission of the elderly in rural China.

Indexed as

AdultAgedAge FactorsChinaCross-Sectional StudiesFemaleHealth Care SurveysHospitals, CountyHumansMaleMiddle AgedPatient AdmissionRural Health Serviceselderlyhealth policyinappropriate admissionquality in health carerural china

Identifiers

PMID31048441
PMCPMC6502026

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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.