Evidence map›Paper›PMID 34007880›Full record

ArticleInternational journal of population data science2020

Indicators of missing Electronic Medical Record (EMR) discharge summaries: A retrospective study on Canadian data.

Natalie Wiebe, Yuan Xu, Abdel Aziz Shaheen, Catherine Eastwood, Bastien Boussat, Hude Quan

Open access · goldAbstract read
In one paragraph

Article in International journal of population data science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023
    Pooled it
  2. Observational
  3. Article
  4. Review
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

6 authors at 2 institutions in 2 countries.

Natalie WiebeDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Yuan XuDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Abdel Aziz ShaheenDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Catherine EastwoodDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Bastien BoussatDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Hude QuanDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
University of Calgary · CAUniversité Grenoble Alpes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

objectivesElectronic medical records (EMRs), specifically the discharge summary (DS), can improve secondary use data availability and interprofessional communication. We aimed to describe the completeness of our EMRs by assessing the presence of a DS in the EMR. Additionally, we assessed for indicators of a missing DS.

methodsA chart review was conducted on 3,011 non-obstetric adult inpatient charts in Calgary, Alberta. 893 charts were missing an electronic DS. A 10% sample was drawn to evaluate the presence of a paper DS. A Chi-square test, Fisher's test and logistic regression measured the associations between electronic DS absence and i) patient and hospital characteristics, and ii) patient comorbidities.

resultsThe univariate analyses showed that age, being a surgical patient, a Charlson Comorbidity Index (CCI) of </1, as well as patients with myocardial infarctions, congestive heart failure, cerebrovascular disease, dementia, chronic pulmonary disease, diabetes, and renal disease were associated with a missing DS. Those that were middle aged, surgical patients, or had fewer comorbidities were more likely to have a missing DS. Within the 10% sample, approximately 50% of all patients were from a surgical department, all of which were missing both electronic and paper discharge summaries.

conclusionsOur study describes indicators of missing electronic DS. The DS impacts interprofessional communication, patient outcomes, and data quality. Therefore, the implications of an incomplete DS are widespread. Our findings will caution future researchers using EMR data about the potential for incomplete data, particularly for patients who are surgical, middle aged, and have fewer comorbidities.

Indexed as

discharge summaryelectronic medical recordinpatientmissing documentation

Identifiers

PMID34007880
PMCPMC8104063
OpenAlexW3117820268

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.