Evidence map›Paper›PMID 36311182›Full record

ArticleOTO open

Improving Timeliness in Surgical Discharge Summary Distribution: A Quality Improvement Initiative.

Peng You, Jimmy Liu, Louise Moist, Kevin Fung, Julie E Strychowsky

Abstract read
In one paragraph

Article in OTO open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Peng YouDepartment of Otolaryngology-Head and Neck Surgery, Western University, London, Canada.
Jimmy LiuLondon Health Sciences Centre Quality and Performance, London, Canada.
Louise MoistDepartment of Medicine, Schulich School of Medicine, Western University, London, Canada.
Kevin FungDepartment of Otolaryngology-Head and Neck Surgery, Western University, London, Canada.
Julie E StrychowskyDepartment of Otolaryngology-Head and Neck Surgery, Western University, London, Canada.ORCID https://orcid.org/0000-0001-5460-3155

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To implement a quality improvement initiative to achieve an institutional targeted discharge summary distribution metric of 50% within 48 hours of patient discharge from hospital within an academic tertiary care otolaryngology-head and neck surgery department. Methods: A pre- and postintervention study was conducted. Process mapping was performed. Interventions included education and engagement, implementation of auto-authentication (distribution immediately following transcription without review by the most responsible physician), and audit and feedback. The percentage of discharge summaries dictated with the auto-authentication code was evaluated. Process measures were collected for 12 months pre- and postimplementation. Balancing measures included workload and revisions to auto-authenticated notes. Analysis included summary statistics, statistical process control charting, and unpaired Results: The mean ± SD percentage of discharge summaries distributed within 48 hours increased from 19% ± 6.4% preintervention to 54% ± 20% postintervention ( Discussion: Our surgical department exceeded and sustained the targeted metric for timely discharge summary distribution using a quality improvement approach. Implications for Practice: Timely distribution of discharge summaries optimizes patients' transitions of care and can be achieved through stakeholder education and engagement, auto-authentication, and audit with feedback.

Indexed as

discharge summariesPS/QItransitions of care

Identifiers

PMID36311182
PMCPMC9597045

What OpenQuestion holds

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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.