Evidence map›Paper›PMID 32998170›Full record

ArticleApplied clinical informatics2020

Clinical Decision Support for Worker Health: A Five-Site Qualitative Needs Assessment in Primary Care Settings.

Joan S Ash, Dian Chase, Sherry Baron, Margaret S Filios, Richard N Shiffman, Stacey Marovich, Jane Wiesen, Genevieve B Luensman

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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

8 authors at 5 institutions in 1 country.

Joan S AshDepartment of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, United States.
Dian ChaseDepartment of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, United States.
Sherry BaronDepartment of Urban Studies, Barry Commoner Center for Health and the Environment, Queens College, City University of New York, New York, New York, United States.
Margaret S FiliosNational Institute for Occupational Safety and Health/Centers for Disease Control and Prevention, Cincinnati, Ohio and Morgantown, West Virginia, United States.
Richard N ShiffmanYale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut, United States.
Stacey MarovichNational Institute for Occupational Safety and Health/Centers for Disease Control and Prevention, Cincinnati, Ohio and Morgantown, West Virginia, United States.
Jane WiesenDepartment of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, United States.
Genevieve B LuensmanNational Institute for Occupational Safety and Health/Centers for Disease Control and Prevention, Cincinnati, Ohio and Morgantown, West Virginia, United States.
Oregon Health & Science University · USNational Institute for Occupational Safety and Health · USCenters for Disease Control and Prevention · USQueens College, CUNY · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough patients who work and have related health issues are usually first seen in primary care, providers in these settings do not routinely ask questions about work. Guidelines to help manage such patients are rarely used in primary care. Electronic health record (EHR) systems with worker health clinical decision support (CDS) tools have potential for assisting these practices.

objectiveThis study aimed to identify the need for, and barriers and facilitators related to, implementation of CDS tools for the clinical management of working patients in a variety of primary care settings.

methodsWe used a qualitative design that included analysis of interview transcripts and observational field notes from 10 clinics in five organizations.

resultsWe interviewed 83 providers, staff members, managers, informatics and information technology experts, and leaders and spent 35 hours observing. We identified eight themes in four categories related to CDS for worker health (operational issues, usefulness of proposed CDS, effort and time-related issues, and topic-specific issues). These categories were classified as facilitators or barriers to the use of the CDS tools. Facilitators related to operational issues include current technical feasibility and new work patterns associated with the coordinated care model. Facilitators concerning usefulness include users' need for awareness and evidence-based tools, appropriateness of the proposed CDS for their patients, and the benefits of population health data. Barriers that are effort-related include additional time this proposed CDS might take, and other pressing organizational priorities. Barriers that are topic-specific include sensitive issues related to health and work and the complexities of information about work.

conclusionWe discovered several themes not previously described that can guide future CDS development: technical feasibility of the proposed CDS within commercial EHRs, the sensitive nature of some CDS content, and the need to assist the entire health care team in managing worker health.

Indexed as

Decision Support Systems, ClinicalNeeds AssessmentElectronic Health RecordsHealthHumansPrimary Health Care

Identifiers

PMID32998170
PMCPMC7557326
OpenAlexW3090296560

What OpenQuestion holds

Textmetadata
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.