Evidence map›Paper›PMID 30116526›Full record

ArticleAntimicrobial resistance and infection control2018

A multi-center nested case-control study on hospitalization costs and length of stay due to healthcare-associated infection.

Yu Lü, Min Hong Cai, Jian Cheng, Kun Zou, Qian Xiang, Jia Yu Wu, Dao Qiong Wei, Zhong Hua Zhou, Hui Wang, Chen Wang and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Antimicrobial resistance and infection control, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  18. Faucet aerators as a reservoir for Carbapenem-resistantAntimicrobial resistance and infection control · 2019
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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

11 authors.

Yu LüHealthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China.
Min Hong CaiHealthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China.
Jian ChengHealthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China.
Kun ZouHealthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China.
Qian XiangHealthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China.
Jia Yu WuHealthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China.
Dao Qiong WeiHealthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China.
Zhong Hua ZhouHealthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China.
Hui WangHealthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China.
Chen WangHealthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China.
Jing ChenHealthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In 2018, the Chinese government demanded nationwide implementation of medical insurance payment methods based on Single-Disease Payment (SDP), but during the operation process the medical insurance system did not fully consider the extra economic burden caused by healthcare-associated infection (HAI). HAIs can prolong the length of stay and increase the hospitalization costs, but only a few studies have been conducted in Sichuan province, China. We evaluated the hospitalization costs and length of stay due to HAI in Sichuan province based on the prevalence survey, and provided data reference for China's medical insurance reform. Methods: In the hospitals surveyed on the prevalence of HAI, a multi-center nested case-control study was performed by a paired method. The study period was from 6 September 2016 to 30 November 2016. Binary outcomes were tested using χ2 test, continuous outcomes were tested using Wilcoxon matched-pairs signed rank test, intra-group comparisons were tested using multiple linear regression analysis. Results: A total of 225 pairs/450 patients were selected in 51 hospitals, and 170 pairs/350 patients were successfully matched. The case fatality rate was 5.14% for the HAIs patients and 3.43% for non-HAs patients, there was no significant difference (χ Conclusions: In Sichuan, the hospitalization costs and length of stay caused by HAI should be given special attention in the current medical insurance reform. The proportion and scope of medical payment for patients with HAI at different sites should be different. Efforts need to be taken to incentivize reduction of HAI rates which will reduce hospitalization costs and length of stay.

Indexed as

AdultAgedAged, 80 and overCase-Control StudiesChinaCross InfectionFemaleHospital CostsHospitalizationHospitalsHumansLength of StayMaleMiddle AgedHealthcare-associated infectionsHospitalization costsLength of stayMulti-centerNested case-control study

Identifiers

PMID30116526
PMCPMC6085640

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Registered trials

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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.