Evidence map›Paper›PMID 25881181›Full record

ArticleBMC medical informatics and decision making2015

A qualitative evaluation of the crucial attributes of contextual information necessary in EHR design to support patient-centered medical home care.

Charlene R Weir, Nancy Staggers, Bryan Gibson, Kristina Doing-Harris, Robyn Barrus, Robert Dunlea

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

6 authors.

Charlene R WeirVA HSR&D Informatics and Decision Enhancement Center of Innovation (IDEAS), 500 Foothill Blvd, Salt Lake City, UT, 84108, USA. Charlene.weir@utah.edu.
Nancy StaggersSchool of Nursing, University of Maryland, 522 West Lombard Street, Baltimore, MD 21201, USA.
Bryan GibsonVA HSR&D Informatics and Decision Enhancement Center of Innovation (IDEAS), 500 Foothill Blvd, Salt Lake City, UT, 84108, USA.
Kristina Doing-HarrisDepartment of Biomedical Informatics, School of Medicine, University of Utah, Suite 208, 421 Wakara Way, Salt Lake City, 84108, UT, USA.
Robyn BarrusVA HSR&D Informatics and Decision Enhancement Center of Innovation (IDEAS), 500 Foothill Blvd, Salt Lake City, UT, 84108, USA.
Robert DunleaDepartment of Biomedical Informatics, School of Medicine, University of Utah, Suite 208, 421 Wakara Way, Salt Lake City, 84108, UT, USA.

Funding

UNIVERSITY OF UTAH MEDICAL INFORMATICS TRAININGT15LM007124 · NLM · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Karen Louise Eilbeck · 1997 to 2026
$22.0M
NLM NIH HHS T15 LM007124
6 · The paper itself

Abstract

backgroundEffective implementation of a Primary Care Medical Home model of care (PCMH) requires integration of patients' contextual information (physical, mental, social and financial status) into an easily retrievable information source for the healthcare team and clinical decision-making. This project explored clinicians' perceptions about important attributes of contextual information for clinical decision-making, how contextual information is expressed in CPRS clinical documentation as well as how clinicians in a highly computerized environment manage information flow related to these areas.

methodsA qualitative design using Cognitive Task Analyses and a modified Critical Incident Technique were used. The study was conducted in a large VA with a fully implemented EHR located in the western United States. Seventeen providers working in a PCMH model of care in Primary Care, Home Based Care and Geriatrics reported on a recent difficult transition requiring contextual information for decision-making. The transcribed interviews were qualitatively analyzed for thematic development related to contextual information using an iterative process and multiple reviewers with ATLAS@ti software.

resultsSix overarching themes emerged as attributes of contextual information: Informativeness, goal language, temporality, source attribution, retrieval effort, and information quality.

conclusionsThese results indicate that specific attributes are needed to in order for contextual information to fully support clinical decision-making in a Medical Home care delivery environment. Improved EHR designs are needed for ease of contextual information access, displaying linkages across time and settings, and explicit linkages to both clinician and patient goals. Implications relevant to providers' information needs, team functioning and EHR design are discussed.

Indexed as

AdultClinical Decision-MakingElectronic Health RecordsHome Care ServicesHumansPatient-Centered CarePatient PreferencePrimary Health CareQualitative ResearchTask Performance and Analysis

Identifiers

PMID25881181
PMCPMC4416274

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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.