Evidence map›Paper›PMID 34621601›Full record

ArticleThe mental health clinician2021

An evaluation of clinical decision support tools for Patient Health Questionnaire-9 administration.

Naweid Maten, Miranda E Kroehl, Danielle F Loeb, Shubha Bhat, Taylor Ota, Sarah J Billups, Lisa M Schilling, Simeon Heckman, Crystal Reingardt, Katy E Trinkley

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The mental health clinician, 2021. 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
–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

3 citing papers in PubMed.

  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

10 authors.

Naweid MatenStudent, Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado.ORCID https://orcid.org/0000-0002-1921-0783
Miranda E KroehlStatistician, Charter Communications Corporation, Greenwood Village, Colorado.ORCID https://orcid.org/0000-0002-3840-3660
Danielle F LoebAssociate Professor, University of Colorado School of Medicine, Aurora, Colorado.ORCID https://orcid.org/0000-0003-1688-8799
Shubha BhatClinical Pharmacy Specialist, Cleveland Clinic, Cleveland, Ohio.ORCID https://orcid.org/0000-0002-7023-9506
Taylor OtaStudent, Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado.ORCID https://orcid.org/0000-0003-4308-2037
Sarah J BillupsAssociate Professor, Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado.ORCID https://orcid.org/0000-0003-3735-5262
Lisa M SchillingProfessor, University of Colorado School of Medicine, Aurora, Colorado; Medical Director, Office of Value Based Performance, University of Colorado Medicine, Aurora, Colorado.ORCID https://orcid.org/0000-0002-6878-189X
Simeon HeckmanInformation Technology Supervisor, Department of Clinical Informatics, University of Colorado Health, Aurora, Colorado.ORCID https://orcid.org/0000-0002-4736-1423
Crystal ReingardtProfessional Research Assistant, University of Colorado School of Medicine, Aurora, Colorado; Project Manager, Office of Value Based Performance, University of Colorado Medicine, Aurora, Colorado.ORCID https://orcid.org/0000-0001-6813-5532
Katy E TrinkleyStudent, Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado.ORCID https://orcid.org/0000-0003-2041-7404

Funding

IMPlementation to Achieve Clinical Transformation (IMPACT): The Colorado Training ProgramK12HL137862 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI GLASGOW, RUSSELL E, HAVRANEK, EDWARD PAUL · 2017 to 2021
$2.9M
NHLBI NIH HHS K12 HL137862
6 · The paper itself

Abstract

introductionMany health care institutions are working to improve depression screening and management with the use of the Patient Health Questionnaire 9 (PHQ-9). Clinical decision support (CDS) within the EHR is one strategy, but little is known about effective approaches to design or implement such CDS. The purpose of this study is to compare implementation outcomes of two versions of a CDS tool to improve PHQ-9 administration for patients with depression.

methodsThis was a retrospective, observational study comparing two versions of a CDS. Version 1 interrupted clinician workflow, and version 2 did not interrupt workflow. Outcomes of interest included reach, adoption, and effectiveness. PHQ-9 administration was determined by chart review. Chi-square tests were used to evaluate associations between PHQ-9 administration with versions 1 and 2.

resultsVersion 1 resulted in PHQ-9 administration 77 times (15.3% of 504 unique encounters) compared with 49 times (9.8% of 502 unique encounters) with version 2 ( DISCUSSION: An interruptive CDS tool may be more effective at increasing PHQ-9 administration, but a noninterruptive CDS tool may be preferred to minimize alert fatigue despite a decrease in effectiveness.

Indexed as

clinical decision support systemsdepressionPatient Health Questionnaire-9PHQ-9

Identifiers

PMID34621601
PMCPMC8463004

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.