Evidence map›Paper›PMID 32556874›Full record

ArticleJournal of general internal medicine2020

Do Collaborative Care Managers and Technology Enhance Primary Care Satisfaction with Care from Embedded Mental Health Providers?

Lucinda B Leung, Alexander S Young, Leonie Heyworth, Danielle Rose, Susan Stockdale, A Laurie Graaff, Timothy R Dresselhaus, Lisa V Rubenstein

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2020. 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
0.7field-weighted citation impact, top 23% 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, 7 citations in OpenAlex.

  1. Trial
  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

8 authors at 5 institutions in 1 country.

Lucinda B LeungCenter for the Study of Healthcare Innovation, Implementation, & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA. lleung@mednet.ucla.edu.
Alexander S YoungCenter for the Study of Healthcare Innovation, Implementation, & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Leonie HeyworthOffice of Connected Care/Telehealth, Department of Veterans Affairs Central Office, Washington, DC, USA.
Danielle RoseCenter for the Study of Healthcare Innovation, Implementation, & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Susan StockdaleCenter for the Study of Healthcare Innovation, Implementation, & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
A Laurie GraaffVISN 22 (VA Desert Pacific Healthcare Network) Primary Care Coordinator, Gilbert, AZ, USA.
Timothy R DresselhausDepartment of Medicine, UCSD School of Medicine, San Diego, CA, USA.
Lisa V RubensteinDivision of General Internal Medicine and Health Services Research, UCLA David Geffen School of Medicine, Los Angeles, CA, USA.
VA Greater Los Angeles Healthcare System · USUniversity of California, San Diego · USCenter for the Study of Healthcare Provider Behavior · USUCLA Health · USVA Desert Pacific Healthcare Network · US

Funding

HSRD VA IK2 HX002867
6 · The paper itself

Abstract

backgroundTo improve mental health care access, the Veterans Health Administration (VA) implemented Primary Care-Mental Health Integration (PC-MHI) in clinics nationally. Primary care clinical leader satisfaction can inform model implementation and may be facilitated by collaborative care managers and technology supporting cross-specialty collaboration.

objective(1) To determine primary care clinical leaders' overall satisfaction with care from embedded mental health providers for a range of conditions and (2) to examine the association between overall satisfaction and two program features (care managers, technology).

designCross-sectional organizational survey in one VA region (Southern California, Arizona, and New Mexico), 2018.

participantsSixty-nine physicians or other designated clinical leaders in each VA primary care clinic (94% response rate). MAIN MEASURES: We assessed primary care clinical leader satisfaction with embedded mental health care on four groups of conditions: target, non-target mental health, behavioral health, suicide risk management. They additionally responded about the availability of mental health care managers and the sufficiency of information technology (telemental health, e-consult, instant messaging). We examined relationships between satisfaction and the two program features using χ KEY

resultsMost primary care clinical leaders were "very satisfied" with care for targeted anxiety (71%) and depression (69%), but not for other common conditions (37% alcohol misuse, 19% pain). Care manager availability was significantly associated with "very satisfied" responses for depression (p = .02) and anxiety care by embedded mental health providers (p = .02). Highly rated sufficiency of communication technology (only 19%) was associated with "very satisfied" responses to suicide risk management (p = .002).

conclusionsCare from embedded mental health providers for depression and anxiety was highly satisfactory, which may guide improvement among less satisfactory conditions (alcohol misuse, pain). Observed associations between overall satisfaction and collaborative care features may inform clinics on how to optimize staffing and technology based on priority conditions.

Indexed as

Delivery of Health Care, IntegratedMental Health ServicesCross-Sectional StudiesHumansMental HealthPersonal SatisfactionPrimary Health CareTechnologyUnited StatesUnited States Department of Veterans Affairscare managementcollaborative carehealth informaticshealth information technologymental healthprimary careVeterans

Identifiers

PMID32556874
PMCPMC7728939
OpenAlexW3036355242

What OpenQuestion holds

Textmetadata
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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.