Evidence map›Paper›PMID 31910807›Full record

Observational studyEnvironmental health and preventive medicine2020

Capturing the trends in hospital standardized mortality ratios for pneumonia: a retrospective observational study in Japan (2010 to 2018).

Rebeka Amin, Yosuke Hatakeyama, Takefumi Kitazawa, Kunichika Matsumoto, Shigeru Fujita, Kanako Seto, Tomonori Hasegawa

Abstract readObservational Study
In one paragraph

Observational study in Environmental health and preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

  1. Review
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  5. Observational
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  7. 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.

Rebeka AminDepartment of Social Medicine, Toho University Graduate School of Medicine, 5-21-16, Omori-nishi, Ota-ku, Tokyo, 143-8540, Japan.
Yosuke HatakeyamaDepartment of Social Medicine, Toho University School of Medicine, 5-21-16, Omori-nishi, Ota-ku, Tokyo, 143-8540, Japan.
Takefumi KitazawaFaculty of Health Sciences, Tokyo Kasei University, 2-15-1, Inariyama, Sayama-shi, Saitama, 350-1398, Japan.
Kunichika MatsumotoDepartment of Social Medicine, Toho University School of Medicine, 5-21-16, Omori-nishi, Ota-ku, Tokyo, 143-8540, Japan.
Shigeru FujitaDepartment of Social Medicine, Toho University School of Medicine, 5-21-16, Omori-nishi, Ota-ku, Tokyo, 143-8540, Japan.
Kanako SetoDepartment of Social Medicine, Toho University School of Medicine, 5-21-16, Omori-nishi, Ota-ku, Tokyo, 143-8540, Japan.
Tomonori HasegawaDepartment of Social Medicine, Toho University School of Medicine, 5-21-16, Omori-nishi, Ota-ku, Tokyo, 143-8540, Japan. health@med.toho-u.ac.jp.ORCID http://orcid.org/0000-0002-1057-9867

Funding

Japan Society for the Promotion of Science 19K10518
6 · The paper itself

Abstract

backgroundPneumonia has a high human toll and a substantial economic burden in developed countries like Japan, where the crude mortality rate was 77.7 per 100,000 people in 2017. As this trend is going to continue with increasing number of the elderly multi-morbid population in Japan; monitoring performance over time is a social need to alleviate the disease burden. The study objective was to determine the characteristics of hospital standardized mortality ratios (HSMRs) for pneumonia in Japan from 2010 to 2018 to describe this trend.

methodsData of the DPC (Diagnostic Procedures Combination) database were used, which is an administrative claims and discharge summary database for acute care in-patients in Japan. HSMRs were calculated using the actual and expected numbers of in-hospital deaths, the latter of which was calculated using logistic regression model, with a number of explanatory variables, e.g., age, sex, urgency of admission, mode of transportation, patient volume per month in each hospital, A-DROP score, and Charlson comorbidity index (CCI). We constructed two HSMR models: a single-year model, which included hospitals with > 10 in-patients per month and, a 9-year model, which included those hospitals with complete 9-year data. Predictive accuracy of the logistic models was assessed using c-index (area under receiver operating curve).

resultsTotal 230,372 patients were included for the analysis over the 9-year study period. Calculated HSMRs showed wide variation among hospitals. The proportion of hospitals with HSMR less than 100 increased from 36.4% in 2010 to 60.6% in 2018. Both models showed good predictive ability with a c-statistic of 0.762 for the 9-year model, and no less than 0.717 for the single-year model.

conclusionThis study denoted that HSMRs of pneumonia can be calculated using DPC data in Japan and revealed significant variations among hospitals with comparable case-mixes. Therefore, HSMR can be used as yet another measure to help improve quality of care over time if other indicators are examined in parallel and to get a clear picture of where hospitals excel and lack.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHospitalizationHospitalsHumansInfantInfant, NewbornJapanLogistic ModelsMaleMiddle AgedBenchmarkingHealth care/standardsIn-hospital mortalityJapanPneumoniaQuality indicator

Identifiers

PMID31910807
PMCPMC6947928

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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.