Evidence map›Paper›PMID 34899135›Full record

ArticleJournal of Taibah University Medical Sciences2021

Effects of routinely collected health information system variables on the readmission of patients with type 2 diabetes.

Sulaiman M Bah, Anwar B Alibrahem, Ayat J Alshawi, Hameeda H Almuslim, Hessa A Aldossary

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2021. 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
0.3field-weighted citation impact, top 40% 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, 2 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

5 authors at 2 institutions in 3 countries.

Sulaiman M BahPublic Health Department, College of Public Health, Imam Abdulrahman Bin Faisal University, KSA.
Anwar B AlibrahemHealth Information Management and Technology Department, College of Public Health, Imam Abdulrahman Bin Faisal University, KSA.
Ayat J AlshawiHealth Information Management and Technology Department, College of Public Health, Imam Abdulrahman Bin Faisal University, KSA.
Hameeda H AlmuslimHealth Information Management and Technology Department, College of Public Health, Imam Abdulrahman Bin Faisal University, KSA.
Hessa A AldossaryHealth Information Management and Technology Department, College of Public Health, Imam Abdulrahman Bin Faisal University, KSA.
Health Information Management · BEPublic Health Department · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis research explores the association between variables routinely collected in a health information system and the readmission of patients with type 2 diabetes within 30 days of discharge.

methodsThis retrospective cohort study was conducted at King Fahd Hospital of the University (KFHU) in Al-Khobar, KSA. The study population comprised patients with type 2 diabetes who were admitted to the hospital from January 2016 to November 2016. Data were obtained from the hospital's information system at KFHU. The association between the readmission of patients with type 2 diabetes and routinely collected health information system variables such as demographics, type of diabetes, length of stay, and discharge type were analyzed.

resultsA total of 497 cases met the inclusion criteria. Of these, 31 (6.2%) cases were readmitted within 30 days. Type 2 diabetes was the only variable found to be significantly associated with readmission within 30 days (χ

conclusionOverall, the routinely collected demographic, diagnostic, and administrative variables were found to be poor predictors of 30-day readmission for type 2 diabetes at the institution studied. Nonetheless, the only significant variables in the prediction of 30-day readmission were diabetes type and discharge type. To determine the predictors of readmission, it is recommended that future studies include height and weight to the routinely collected health information system variables. We also suggest that future studies be based on data collected over several years or on pooled data collected from several hospitals.

Indexed as

Diabetes type 2Healthcare qualityHealth information systemLength of stayReadmission

Identifiers

PMID34899135
PMCPMC8626805
OpenAlexW3196700689

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.