Evidence map›Paper›PMID 39372815›Full record

ArticleDigital health

From use, value and user-centered design to context: A mixed methods analysis of a hospital electronic medical record enhancement.

Samantha T Robertson, Sandra G Brauer, Andrew Burton-Jones, Rohan S Grimley, Ingrid Cm Rosbergen

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 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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.

Samantha T RobertsonSchool of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0002-9219-3297
Sandra G BrauerSchool of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Australia.
Andrew Burton-JonesSchool of Business, University of Queensland, Brisbane, Australia.
Rohan S GrimleySunshine Coast University Hospital, Sunshine Coast Hospital and Health Service, Birtinya, Queensland, Australia.
Ingrid Cm RosbergenSchool of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study sought to determine the use and perceived value of a user-centered electronic medical record (EMR) enhancement for stroke care and understand if its value was in alignment with its intended design. The EMR enhancement was introduced into Queensland public hospitals in Australia and included a summary page for enhanced interprofessional collaboration and data collection forms for efficient data extraction. Methods: A mixed methods design was adopted and data collected from four hospital sites. We conducted 15 semistructured interviews with multidisciplinary end-users across participating sites and analyzed this data using inductive thematic techniques. Usage log data was extracted from the EMR to determine its use. Results: Relative use of the summary page showed moderate use, varying from 66 ± 22.5 uses for each stroke patient admission per month (Site 1) to 26.7 ± 9.1 (Site 2). Interviews identified key themes of "visibility" and providing a "quick snapshot" of patient data as the main positive attributes. Technology "functionality" was perceived negatively. Use of the data collection forms was minimal, with inconsistency across sites: (Site 3, 0% to Site 2, 47%). Negative themes of "inefficiency," poor "functionality" and the "trust" required in data entry practices were found. Conclusions: Despite its user-centered design, clinicians did not always use the enhancement in line with its intended design, or grasp its intended value. Our findings highlight the challenges of user-centered design to accurately reflect clinical workflows within different contexts. A greater understanding is required of how to optimize user-centered EMR design for specific hospital contexts.

Indexed as

adoptioncontextElectronic health recordselectronic medical recordEMRenhancementhealth information technologyoptimizationsystem useuser-centered design

Identifiers

PMID39372815
PMCPMC11450561

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.