Evidence map›Paper›PMID 32240185›Full record

Observational studyPloS one2020

Preventability of unplanned readmissions within 30 days of discharge. A cross-sectional, single-center study.

Albertine M B van der Does, Eva L Kneepkens, Elien B Uitvlugt, Sanne L Jansen, Louise Schilder, George Tokmaji, Sofieke C Wijers, Marijn Radersma, J Nina M Heijnen, Paul F A Teunissen and 4 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

14 authors at 1 institution in 1 country.

Albertine M B van der DoesDepartment of Clinical Pharmacy, OLVG, Amsterdam, The Netherlands.ORCID 0000-0001-5576-7696
Eva L KneepkensDepartment of Clinical Pharmacy, OLVG, Amsterdam, The Netherlands.
Elien B UitvlugtDepartment of Clinical Pharmacy, OLVG, Amsterdam, The Netherlands.
Sanne L JansenDepartment of Surgery, OLVG, Amsterdam, The Netherlands.
Louise SchilderDepartment of Internal medicine, OLVG, Amsterdam, The Netherlands.
George TokmajiDepartment of Cardiology, OLVG, Amsterdam, The Netherlands.
Sofieke C WijersDepartment of Internal medicine, OLVG, Amsterdam, The Netherlands.
Marijn RadersmaDepartment of Gastroenterology, OLVG, Amsterdam, The Netherlands.
J Nina M HeijnenDepartment of Neurology, OLVG, Amsterdam, The Netherlands.
Paul F A TeunissenDepartment of Internal medicine, OLVG, Amsterdam, The Netherlands.
Pim B J E HulshofDepartment of Internal medicine, OLVG, Amsterdam, The Netherlands.
Geke M OvervlietDepartment of Psychiatry, OLVG, Amsterdam, The Netherlands.
Carl E H SiegertDepartment of Internal medicine, OLVG, Amsterdam, The Netherlands.
Fatma Karapinar-ÇarkitDepartment of Clinical Pharmacy, OLVG, Amsterdam, The Netherlands.
OLVG · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify the preventability, determinants and causes of unplanned hospital readmissions within 30 days of discharge using a multidisciplinary approach and including patients' perspectives.

designA prospective cross-sectional single-center study.

settingUrban teaching hospital in Amsterdam, the Netherlands.

participants430 patients were included. Inclusion criteria were: age ≥ 18 years, discharged from one of seven participating clinical departments and an unplanned readmission within 30 days.

methodsResidents from the participating departments individually assessed whether the readmission was caused by healthcare, the preventability and possible causes of readmissions using a tool. Thereafter, the preventability of the cases was discussed in a multidisciplinary meeting with residents of all participating departments and clinical pharmacists. The primary outcome was the proportion of readmissions that were potentially preventable. Secondary outcomes were the determinants for a readmission, causes for preventable readmissions, the change in the final decision on preventability after the multidisciplinary meeting and the value of patient interviews in assessing preventability. Differences in characteristics of potentially preventable readmissions (PPRs) and non-PPRs were analyzed using multivariable logistic regression.

resultsOf 430 readmissions, 56 (13%) were assessed as PPRs. Age was significantly associated with a PPR (adjusted OR: 2.42; 95%, CI 1.23-4.74; p = 0.01). The main causes for PPRs were diagnostic (30%), medication (27%) and management problems (27%). During the multidisciplinary meeting, the final decision on preventability changed in 11% of the cases. When a patient interview was available, it was used as a source of information to assess preventability in 26% of readmissions. In 7% of cases, the patient interview was mentioned as the most important source. CONCLUSION AND IMPLICATIONS: 13% of readmissions were potentially preventable with diagnostic, medication or management problems being main causes. A multidisciplinary review approach and including the patient's perspective could contribute to a better understanding of the complexity of readmissions and possible improvements.

Indexed as

Clinical Decision-MakingPhysician-Patient RelationsAgedAged, 80 and overAge FactorsCross-Sectional StudiesFemaleHospitals, TeachingHospitals, UrbanHumansLogistic ModelsMaleMiddle AgedNetherlandsPatient DischargePatient Participation

Identifiers

PMID32240185
PMCPMC7117704
OpenAlexW3015056979

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.