Evidence map›Paper›PMID 41491556›Full record

ArticleJournal of the American Board of Family Medicine : JABFM

Contraceptive Quality Performance Measures to Advance Patient-Centered Care.

Christine Dehlendorf, Erin Wingo, Danielle Hessler

Abstract read
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Women's Health, Social Issues, and Quality of Care in Family Medicine.Journal of the American Board of Family Medicine : JABFM
    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

3 authors.

Christine DehlendorfFrom the Department of Family and Community Medicine, School of Medicine, University of California, San Francisco, San Francisco, CA (CD, EW, DH).
Erin WingoFrom the Department of Family and Community Medicine, School of Medicine, University of California, San Francisco, San Francisco, CA (CD, EW, DH). erin.wingo@ucsf.edu.
Danielle HesslerFrom the Department of Family and Community Medicine, School of Medicine, University of California, San Francisco, San Francisco, CA (CD, EW, DH).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality measurement often focuses solely on clinical processes and outcomes, with relative neglect of patient experience. The use of novel measurement approaches, including patient-reported outcome performance measures and electronic clinical quality measures, provide the opportunity for more nuanced and patient-centered measurement in primary care settings. In this commentary, we described the development of such measures to evaluate contraceptive care quality. Primary care is a crucial setting for delivery of contraceptive care, facilitating access in the context of longitudinal care relationships. When providing this care, it is especially critical to have attention to quality grounded in principles of person-centeredness and equity given the personal nature of reproductive health care alongside the history of reproductive oppression. The described measures provide actionable tools that can be leveraged by family medicine leaders and health systems to support quality, person-centered, and equitable contraceptive care.

Indexed as

ContraceptionFamily Planning ServicesPatient-Centered CarePrimary Health CareQuality Indicators, Health CareFamily PracticeFemaleHumansPatient Reported Outcome MeasuresQuality of Health CareContraceptivesHealth EquityPatient-Reported Outcome MeasuresPrimary Health CareQuality ImprovementQuality of Health CareReproductive Health

Identifiers

PMID41491556
PMCPMC12978586

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.