Evidence map›Paper›PMID 34565481›Full record

ArticleImplementation science communications2021

A mixed-methods study of multi-level factors influencing mammography overuse among an older ethnically diverse screening population: implications for de-implementation.

Jessica D Austin, Parisa Tehranifar, Carmen B Rodriguez, Laura Brotzman, Mariangela Agovino, Danya Ziazadeh, Nathalie Moise, Rachel C Shelton

Abstract read
In one paragraph

Article in Implementation science communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Social Drivers of Guideline-Discordant Breast Cancer Screening by Age and Mortality Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    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

8 authors.

Jessica D AustinDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Parisa TehranifarDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Carmen B RodriguezDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Laura BrotzmanHerbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA.
Mariangela AgovinoDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Danya ZiazadehDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Nathalie MoiseDepartment of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Rachel C SheltonDepartment of Sociomedical Sciences, Columbia University Mailman School of Public Health, 722 W 168th Street, New York, NY, 10032, USA. rs3108@cumc.columbia.edu.ORCID http://orcid.org/0000-0001-6496-6339

Funding

De-implementation of Mammography Overuse in Primary Care SettingsR01CA255382 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MOISE, NATHALIE, SHELTON, RACHEL C · 2021 to 2025
$2.6M
NCI NIH HHS R01 CA255382
6 · The paper itself

Abstract

backgroundThere is growing concern that routine mammography screening is overused among older women. Successful and equitable de-implementation of mammography will require a multi-level understanding of the factors contributing to mammography overuse.

methodsThis explanatory, sequential, mixed-methods study collected survey data (n= 52, 73.1% Hispanic, 73.1% Spanish-speaking) from women ≥70 years of age at the time of screening mammography, followed by semi-structured interviews with a subset of older women completing the survey (n=19, 63.2% Hispanic, 63.2% Spanish-speaking) and providers (n=5, 4 primary care, 1 obstetrics and gynecology) to better understand multi-level factors influencing mammography overuse and inform potential de-implementation strategies. We conducted a descriptive analysis of survey data and content analysis of qualitative interview data. Survey and interview data were examined separately, compared, integrated, and organized according to Norton and Chambers Continuum of Factors Influencing De-Implementation Process.

resultsSurvey findings show that 87.2% of older women believe it is important to plan for an annual mammogram, 80.8% received a provider recommendation, and 78.9% received a reminder in the last 12 months to schedule a mammogram. Per interviews with older women, the majority were unaware of or did not perceive to have experienced overuse and intended to continue mammography screening. Findings from interviews with older women and providers suggest that there are multiple opportunities for older women to obtain a mammogram. Per provider interviews, almost all reported that reducing overuse was not viewed as a priority by the system or other providers. Providers also discussed that variation in mammography screening practices across providers, fear of malpractice, and monetary incentives may contribute to overscreening. Providers identified potential strategies to reduce overscreening including patient and provider education around harms of screening, leveraging the electronic health record to identify women who may receive less health benefit from screening, customizing system-generated reminder letters, and organizing workgroups to develop standard processes of care around mammography screening.

conclusionsMulti-level factors contributing to mammography overuse are dynamic, interconnected, and reinforced. To ensure equitable de-implementation, there is a need for more refined and empirical testing of theories, models, and frameworks for de-implementation with a strong patient-level component that considers the interplay between multilevel factors and the larger care delivery process.

Indexed as

De-implementationMammography screeningMixed-methodsMulti-levelOveruse

Identifiers

PMID34565481
PMCPMC8474751

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.