Evidence map›Paper›PMID 35172089›Full record

ArticleHealthcare informatics research2022

Analysis of the Effects of Electronic Medical Records and a Payment Scheme on the Length of Hospital Stay.

Melaku Haile Likka, Yukio Kurihara

Open access · goldAbstract read
In one paragraph

Article in Healthcare informatics research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Melaku Haile LikkaInformation Healthcare Science Course, Graduate School of Integrated Arts and Sciences, Kochi University, Kochi, Japan.
Yukio KuriharaHealthcare Informatics Division, Basic Nursing Department, Medical School, Kochi University, Kochi, Japan.
University of Kochi · JP

Funding

Japan Society for the Promotion of Science 19K21589
6 · The paper itself

Abstract

objectiveThis study analyzed the effects of computerization of medical information systems and a hospital payment scheme on medical care outcomes. Specifically, we examined the effects of Electronic Medical Records (EMRs) and a diagnosis procedure combination/per-diem payment scheme (DPC/PDPS) on the average length of hospital stay (ALOS).

methodsPost-intervention changes in the monthly ALOS were measured using an interrupted time-series analysis.

resultsThe level changes observed in the monthly ALOS immediately post-DPC/PDPS were -1.942 (95% confidence interval [CI], -2.856 to -1.028), -1.885 (95% CI, -3.176 to -0.593), -1.581 (95% CI, -3.081 to -0.082) and -2.461 (95% CI, -3.817 to 1.105) days in all ages, <50, 50-64, and ≥65 years, respectively. During the post-DPC/PDPS period, trends of 0.107 (95% CI, 0.069 to 0.144), 0.048 (95% CI, -0.006 to 0.101), 0.183 (95% CI, 0.122 to 0.245) and 0.110 (95% CI, 0.054 to 0.167) days/month, respectively, were observed. During the post-EMR period, trends of -0.053 (95% CI, -0.080 to -0.027), -0.093 (95% CI, -0.135 to -0.052), and -0.049 (95% CI, -0.087 to -0.012) days/month were seen for all ages, 50-64 and ≥65 years, respectively.

conclusionsThe increasing post-DPC/PDPS trends offset the decline in ALOS observed immediately post-DPC/PDPS, and the observed ALOS was longer than the counterfactual at the end of the DPC/PDPS study periods. Conversely, due to the downward trend seen after EMR introduction, the actual ALOS at the end of the EMR study period was shorter than the counterfactual, suggesting that EMRs might be more effective than the DPC/PDPS in sustainably reducing the LOS.

Indexed as

Electronic Medical RecordsLength of StayLongitudinal StudiesProspective Payment SystemQuality of Health Care

Identifiers

PMID35172089
PMCPMC8850176
OpenAlexW4210915531

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.