Evidence map›Paper›PMID 30008227›Full record

ArticleAmerican journal of medical quality : the official journal of the American College of Medical Quality

Design and Implementation of a Depression Registry for Primary Care.

Michael Yang, Danielle F Loeb, Andrew J Sprowell, Katy E Trinkley

Abstract read
In one paragraph

Article in American journal of medical quality : the official journal of the American College of Medical Quality. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Design and development of a web-based registry for Coronavirus (COVID-19) disease.Medical journal of the Islamic Republic of Iran · 2020
    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

4 authors.

Michael Yang1 University of Colorado School of Medicine, Aurora, CO.
Danielle F Loeb2 University of Colorado School of Medicine, Division of General Internal Medicine, Aurora, CO.
Andrew J Sprowell1 University of Colorado School of Medicine, Aurora, CO.
Katy E Trinkley2 University of Colorado School of Medicine, Division of General Internal Medicine, Aurora, CO.

Funding

Improving Primary Care Management of Complex Patients with Psychiatric IllnessK23MH100162 · NIMH · UNIVERSITY OF COLORADO DENVER · PI LOEB, DANIELLE · 2014 to 2017
$731k
NIMH NIH HHS K23 MH100162
6 · The paper itself

Abstract

Registries are fundamental to the success of population health initiatives to improve care and outcomes for patients, including those with depression. The purpose of this article is to describe the design and clinical implementation of a depression registry as part of a collaborative care for depression intervention at 2 large academic outpatient internal medicine practices. The primary objective of the registry was to identify and track patients with depression and monitor antidepressant therapy. Secondary objectives of the registry were to assist in addressing pay-for-performance and value-based reimbursement metrics for depression screening and remission. The registry design and variables for inclusion in the registry were defined with input from clinicians, institutional leadership, and data analysts. For implementation, specific clinical workflows were established and responsible team roles were designated.

Indexed as

Primary Health CareRegistriesDepressionElectronic Health RecordsHumansModels, OrganizationalProgram DevelopmentUnited Statescollaborative care modeldepressionregistryregistry implementation

Identifiers

PMID30008227
PMCPMC6751137

What OpenQuestion holds

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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.