Evidence map›Paper›PMID 30398459›Full record

ArticleJournal of innovation in health informatics2018

Designing health information technology tools for behavioral health clinicians integrated within a primary care team.

Tanisha Tate Woodson, Rose Gunn, Khaya D Clark, Bijal A Balasubramanian, Katelyn K Jetelina, Brianna Muller, Benjamin F Miller, Timothy E Burdick, Deborah J Cohen

Open access · goldAbstract read
In one paragraph

Article in Journal of innovation in health informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  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

9 authors at 4 institutions in 1 country.

Tanisha Tate WoodsonDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA. woodson@ohsu.edu.
Rose GunnDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA. gunnr@ohsu.edu.
Khaya D ClarkDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA. clakha@ohsu.edu.
Bijal A BalasubramanianDepartment of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health-Dallas Campus, Dallas, TX, USA. Bijal.Balasubramanian@UTSouthwestern.edu.
Katelyn K JetelinaDepartment of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health-Dallas Campus, Dallas, TX, USA. Katelyn.Kassarjian@UTSouthwestern.edu.
Brianna MullerDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA. mullerb@ohsu.edu.
Benjamin F MillerEugene S. Farley, Jr. Health Policy Center, Department of Family Medicine, University of Colorado School of Medicine, Denver, CO, USA. Benjamin.Miller@ucdenver.edu.
Timothy E BurdickDepartment of Community & Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH; Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH; Department of Medical Informatics & Clinical Epidemiology, OHSU School of Medicine, Portland, OR. teburdick@gmail.com.
Deborah J CohenDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA. cohendj@ohsu.edu.
Dartmouth College · USOregon Health & Science University · USUniversity of Texas Health Science Center at Dallas · USUniversity of Colorado Denver · US

Funding

Turning EHRs into Assets for Mental Health and Uniting Practice (Team Up)R34MH100371 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI COHEN, DEBORAH JILL · 2013 to 2015
$701k
NIMH NIH HHS R34 MH100371
6 · The paper itself

Abstract

backgroundElectronic health records (EHRs) are a key tool for primary care practice. However, EHR functionality is not keeping pace with the evolving informational and decision-support needs of behavioral health clinicians (BHCs) working on integrated teams.

objectiveDescribe workflows and tasks of BHCs working with integrated teams, identify their health information technology needs, and develop EHR tools to address them.

methodA mixed-methods, comparative-case study of six community health centers (CHCs) in Oregon, each with at least one BHC integrated in their primary care team. We observed clinical work and conducted interviews to understand workflows and clinical tasks, aiming to identify how effectively current EHRs supported integrated care delivery, including transitions, documentation, information sharing, and decision making. We analyzed these data and employed a user-centered design process to develop EHR tools addressing the identified needs.

resultsBHCs used the primary care EHR for documentation and communication with other team members, but the EHR lacked the functionality to fully support integrated care. Needs include the ability to: (1) automate and track paper-based screening; (2) document behavioral health history; (3) access patient social and medical history relevant to behavioral health issues, and (4) rapidly document and track progress on goals. To meet these needs, we engaged users and developed a set of EHR tools called the BH e-Suite.

conclusionIntegrated primary care teams, and particularly BHCs, have unique information needs, workflows and tasks. These needs can be met and supported by the EHR with a moderate level of modification.

Indexed as

Community Health CentersCommunity Mental Health ServicesContinuity of Patient CareElectronic Health RecordsHumansMedical InformaticsPatient Care TeamPrimary Health Carebehavioral health clinicalselectronic health recordsintegrated careprimary carequalitative research

Identifiers

PMID30398459
PMCPMC6779316
OpenAlexW2899904239

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.