Evidence map›Paper›PMID 28210617›Full record

ArticleFrontiers in public health2017

Inpatient Treatment for the Middle-aged and Elderly in Central China.

Yan Jiang, Yu Wang, Yang Li, Yuming Zhang, Yinjun Zhao, Xiaojun Wang, Chi Ma, Shuangge Ma

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2017. 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
1.1field-weighted citation impact, top 20% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 2 countries.

Yan JiangCenter for Applied Statistics, School of Statistics, Renmin University of China , Beijing , China.
Yu WangCenter for Applied Statistics, School of Statistics, Renmin University of China , Beijing , China.
Yang LiCenter for Applied Statistics, School of Statistics, Renmin University of China , Beijing , China.
Yuming ZhangCenter for Applied Statistics, School of Statistics, Renmin University of China , Beijing , China.
Yinjun ZhaoSchool of Public Health, Yale University , New Haven, CT , USA.
Xiaojun WangCenter for Applied Statistics, School of Statistics, Renmin University of China , Beijing , China.
Chi MaIdeological and Political Education Center, Beijing Institute of Petrochemical Technology , Beijing , China.
Shuangge MaCenter for Applied Statistics, School of Statistics, Renmin University of China, Beijing, China; School of Public Health, Yale University, New Haven, CT, USA.
Renmin University of China · CNBeijing Institute of Petrochemical Technology · CNYale University · US

Funding

Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI MEGAN C KING · 1985 to 2026
$85.0M
NCI NIH HHS P30 CA016359
6 · The paper itself

Abstract

backgroundCompared to outpatient treatment and self-treatment, inpatient treatment corresponds to more severe illness and poses more serious health and financial burden to patients. The goal of this study is to provide an updated and comprehensive description of the prevalence, characteristics, and cost of inpatient treatment for the middle-aged and elderly in Central China, which is highly populated, less-developed, and agriculture-dominating.

methodsA survey was conducted in August 2013 in the Henan province. Data on 1,464 subjects were collected.

resultsAmong the surveyed subjects, 582 had at least one episode of inpatient treatment. Subjects with different inpatient treatment status differ in the distributions of age, education, occupation, area, health insurance coverage, physical condition, and presence of chronic disease. The surveyed subjects had up to six inpatient treatments within 12 months. Different episodes have different characteristics. Age and the presence of chronic disease are significantly associated with the number of inpatient treatments. The utilization of grade III hospital for inpatient treatment is associated with gender, marital status, and per capita income. The total and out-of-pocket costs are associated with education, utilization of type III hospital, and insurance utilization.

conclusionThis study has provided a comprehensive description of inpatient treatment for Central China, an area with low developmental and economic status. The observations may assist improving health conditions and disease treatment for this less-advantaged area.

Indexed as

characteristicsChinacostinpatient treatmentmiddle-aged and elderlyprevalence

Identifiers

PMID28210617
PMCPMC5288374
OpenAlexW2583704282

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.