Evidence map›Paper›PMID 35076803›Full record

ArticleJournal of community health2022

Improving Depression Screening in Primary Care: A Quality Improvement Initiative.

Sarah R Blackstone, Amanda N Sebring, Claudia Allen, Joseph S Tan, Rebekah Compton

Open access · bronzeAbstract read
In one paragraph

Article in Journal of community health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
  3. Unmet need for depression treatment before and after the affordable care act.Social psychiatry and psychiatric epidemiology · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
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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

5 authors at 1 institution in 1 country.

Sarah R BlackstoneDepartment of Family Medicine, University of Virginia, PO Box 800729, Charlottesville, VA, 22908-0729, USA. bav2aw@virginia.edu.
Amanda N SebringDepartment of Family Medicine, University of Virginia, PO Box 800729, Charlottesville, VA, 22908-0729, USA.
Claudia AllenDepartment of Family Medicine, University of Virginia, PO Box 800729, Charlottesville, VA, 22908-0729, USA.
Joseph S TanDepartment of Family Medicine, University of Virginia, PO Box 800729, Charlottesville, VA, 22908-0729, USA.
Rebekah ComptonDepartment of Family Medicine, University of Virginia, PO Box 800729, Charlottesville, VA, 22908-0729, USA.
University of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increase in depression during the COVID-19 pandemic underscores the importance of systematic approaches to identify individuals with mental health concerns. Primary care is often underutilized for depression screening, and it is not clear how practices can successfully increase screening rates. This study describes a quality improvement initiative to increase depression screening in five Family Medicine clinics. The initiative included four Plan-Do-Study-Act cycles that resulted in implementing a standardized workflow for depression screening, collaborative efforts with health information technology to prompt providers to perform screening via the medical record, delivering educational materials for providers and clinic staff and conducting follow-up education. Between September 2020 and April 2021 there were 23,745 clinic encounters with adult patients that were analyzed to determine whether patients were up-to-date on depression screening following their visit. A multi-level logistic regression model was constructed to determine the changes in likelihood of a patient being up-to-date on screening over the study period, while controlling for patient demographics and comorbidities. The average proportion of up-to-date patients increased from 61.03% in September 2020 to 82.33% in April 2021. Patients aged 65+ and patients with comorbidities were more likely to be up-to-date on screening; patients with telemedicine visits had lower odds of being up-to-date on depression screening. Overall, this paper describes a feasible, effective intervention to increase depression screening in a primary care setting. Additionally, we discuss lessons learned and recommendations to inform the design of future interventions.

Indexed as

COVID-19Quality ImprovementAdultDepressionHumansPandemicsPrimary Health CareDepression screeningFamily medicinePrimary careQuality improvement

Identifiers

PMID35076803
PMCPMC8787741
OpenAlexW4206955966

What OpenQuestion holds

Textmetadata
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.