Evidence map›Paper›PMID 34643530›Full record

ArticleJMIR human factors2022

Clinician Perspectives on Unmet Needs for Mobile Technology Among Hospitalists: Workflow Analysis Based on Semistructured Interviews.

April Savoy, Jason J Saleem, Barry C Barker, Himalaya Patel, Areeba Kara

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 11% 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, 8 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

5 authors at 4 institutions in 1 country.

April Savoy *Center for Health Information and Communication, Health Services Research and Development Service, Richard L Roudebush Veterans Affairs Medical Center, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0001-9002-9234
Jason J SaleemDepartment of Industrial Engineering, James Breckenridge Speed School of Engineering, University of Louisville, Louisville, KY, United States.ORCID https://orcid.org/0000-0002-7397-5170
Barry C BarkerCenter for Health Information and Communication, Health Services Research and Development Service, Richard L Roudebush Veterans Affairs Medical Center, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0001-9291-216X
Himalaya PatelCenter for Health Information and Communication, Health Services Research and Development Service, Richard L Roudebush Veterans Affairs Medical Center, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0003-2334-0334
Areeba KaraIndiana University Health Physicians, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0001-5107-3857
Health Services Research & Development · USIndiana University Health · USRegenstrief Institute · USUniversity of Louisville · US

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Translating Measures of Visual Experience to Children with Autism and Down SyndromeKL2TR002530 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI ROBB, SHERI L · 2018 to 2022
$4.8M
NCATS NIH HHS KL2 TR002530NCATS NIH HHS UL1 TR002529
6 · The paper itself

Abstract

backgroundThe hospitalist workday is cognitively demanding and dominated by activities away from patients' bedsides. Although mobile technologies are offered as solutions, clinicians report lower expectations of mobile technology after actual use.

objectiveThe purpose of this study is to better understand opportunities for integrating mobile technology and apps into hospitalists' workflows. We aim to identify difficult tasks and contextual factors that introduce inefficiencies and characterize hospitalists' perspectives on mobile technology and apps.

methodsWe conducted a workflow analysis based on semistructured interviews. At a Midwestern US medical center, we recruited physicians and nurse practitioners from hospitalist and inpatient teaching teams and internal medicine residents. Interviews focused on tasks perceived as frequent, redundant, and difficult. Additionally, participants were asked to describe opportunities for mobile technology interventions. We analyzed contributing factors, impacted workflows, and mobile app ideas.

resultsOver 3 months, we interviewed 12 hospitalists. Participants collectively identified chart reviews, orders, and documentation as the most frequent, redundant, and difficult tasks. Based on those tasks, the intake, discharge, and rounding workflows were characterized as difficult and inefficient. The difficulty was associated with a lack of access to electronic health records at the bedside. Contributing factors for inefficiencies were poor usability and inconsistent availability of health information technology combined with organizational policies. Participants thought mobile apps designed to improve team communications would be most beneficial. Based on our analysis, mobile apps focused on data entry and presentation supporting specific tasks should also be prioritized.

conclusionsBased on our results, there are prioritized opportunities for mobile technology to decrease difficulty and increase the efficiency of hospitalists' workflows. Mobile technology and task-specific mobile apps with enhanced usability could decrease overreliance on hospitalists' memory and fragmentation of clinical tasks across locations. This study informs the design and implementation processes of future health information technologies to improve continuity in hospital-based medicine.

Indexed as

electronic health recordshospital medicinehuman-computer interactionmental workloadusabilityuser-computer interfaceworkflow analysis

Identifiers

PMID34643530
PMCPMC8767475
OpenAlexW3207132806

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.