Evidence map›Paper›PMID 33589504›Full record

ArticleBMJ open quality2021

Using web-based technology to improve depression screening in primary care settings.

Jessica Jeffrey, Minh-Chau T Do, Nastassia Hajal, Yu-Hsiang Lin, Rachel Linonis, Mark S Grossman, Patricia E Lester

Open access · goldAbstract read
In one paragraph

Article in BMJ open quality, 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
2.6field-weighted citation impact, top 11% 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, 12 citations in OpenAlex.

  1. Trial
  2. Pharmacy (Basel, Switzerland) · 2026
    Article
  3. 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

7 authors at 1 institution in 1 country.

Jessica JeffreyDivision of Population Behavioral Health, UCLA-Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, USA jjeffrey@mednet.ucla.edu.
Minh-Chau T DoDivision of Population Behavioral Health, UCLA-Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, USA.
Nastassia HajalDivision of Population Behavioral Health, UCLA-Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, USA.
Yu-Hsiang LinDepartments of Medicine and Pediatrics, University of California Los Angeles Health System, Los Angeles, California, USA.
Rachel LinonisDivision of Population Behavioral Health, UCLA-Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, USA.
Mark S GrossmanDepartments of Medicine and Pediatrics, University of California Los Angeles Health System, Los Angeles, California, USA.
Patricia E LesterDivision of Population Behavioral Health, UCLA-Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, USA.
University of California, Los Angeles · US

Funding

Interrupting the Intergenerational Transmission of Traumatic Stress: Identifying Parental Targets for Intervention by Looking Under the SkinK08HD097277 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HAJAL, NASTASSIA JOSEPHINE · 2019 to 2022
$758k
NICHD NIH HHS K08 HD097277
6 · The paper itself

Abstract

backgroundGiven the high rates at which patients present with behavioural health (BH) concerns in primary care (PC), this setting has become the de facto mental health system. As a result, screening for depression and other BH conditions in PC has become a critical target for improving patient outcomes. However, integration of screening into busy PC workflows can be challenging due to barriers such as limited time and resources. METHODOLOGY: A digital, cloud-based BH assessment tool, which included electronic health record enhancements, was developed and implemented in two urban PC practices as a prelude to a planned larger-scale implementation. The implementation strategies included a reorganisation of workflows within the PC setting, comprehensive training for staff and PC physicians, and institution of an incentive programme for PC clinic managers. To examine whether the introduction of the cloud-based BH assessment tool and associated implementation strategies was associated with increased screening rates, we compared rates of screening from January through June 2017 to rates of screening from January through June 2018 (subsequent to implementation). We also examined BH symptomatology reported by patients in PC.

resultsFollowing the implementation process, rate of BH screening with Patient Health Questionnaire-2 (PHQ-2) increased from 50.5% to 57% (p<0.00000000000000022) and rates of subsequent screening with PHQ-9, for those scoring at risk, defined as a score of ≥1, on PHQ-2, increased from 34.5% to 91.4% (p<0.00000000000000022). Additionally, high rates of 'moderate' and 'severe' symptoms of depression (40.3%), anxiety (42.6%) and substance use (26.7% alcohol; 31.2% other substance use) were observed among PC patients.

conclusionsResults suggest that a comprehensive implementation plan, including digitisation of BH assessment, reduced the burden of systematic screening. High rates of BH symptomatology underscore the need for comprehensive BH assessment and systems planning to address the high need for BH services among PC patients.

Indexed as

DepressionPrimary Health CareHumansInternetMass ScreeningTechnologyhealth behaviourhealthcare quality improvementmental healthprimary carequality improvement

Identifiers

PMID33589504
PMCPMC7887364
OpenAlexW3130125611

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.