Evidence map›Paper›PMID 36185392›Full record

ArticleDigital health

A quality improvement initiative for patient knowledge comprehension during the discharge procedure using a novel computer-generated patient-tailored discharge document in cardiology.

André de Wit, John de Heide, Paul Cummins, Ada van Bruchem-van de Scheur, Rohit Bhagwandien, Mattie Lenzen

Abstract read
In one paragraph

Article in Digital health. 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. Learning about and living with toxicity: a qualitative study of patients receiving immune checkpoint inhibitors for melanoma or lung cancer and their caregivers.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    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

6 authors.

André de WitDepartment of Cardiology, Erasmus MC, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0002-9347-1420
John de HeideDepartment of Cardiology, Erasmus MC, Rotterdam, The Netherlands.
Paul CumminsDepartment of Cardiology, Erasmus MC, Rotterdam, The Netherlands.
Ada van Bruchem-van de ScheurRotterdam University of Applied Sciences, Rotterdam, The Netherlands.
Rohit BhagwandienDepartment of Cardiology, Erasmus MC, Rotterdam, The Netherlands.
Mattie LenzenDepartment of Cardiology, Erasmus MC, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The duration of hospital admissions has shortened significantly. This challenges healthcare professionals to provide the necessary information and instructions in a limited time. Patient-tailored discharge information may improve the patient's understanding of the discharge information but may also be time-consuming. The objective of this descriptive quality improvement study was to evaluate patient comprehension of discharge information using a novel computer-generated patient-tailored discharge document. Methods: A prospective pre-post study comparing patient-tailored discharge information with conventional discharge information, for patients undergoing an electrophysiological procedure during two periods of six weeks between January and March 2016.Group I received conventional discharge information ( Results: In terms of discharge information, comprehensibility was equivalent; however, an increase in comprehension was observed in patients seeking a telephone consultation with the cardiology department within one-week post-discharge. A reduction in discharge preparation time and an increased uniformity of discharge information were reported by nurses. Nurse practitioners found the web tool easy to use and time-saving. Conclusions: In this study, computer-generated patient-tailored discharge information was equivalent to conventional discharge information. A more positive trend was seen for patients who initiated teleconsultation with the hospital within one-week post-discharge. This suggests that for this subgroup the patient-tailored discharge web tool might lead to an improvement in care. However, more research with a larger number of participants is needed to confirm this trend.

Indexed as

cardiologyeducationelectronicHealth informaticslifestylemedicinepersonalized medicine

Identifiers

PMID36185392
PMCPMC9515543

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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.