Evidence map›Paper›PMID 36803461›Full record

ArticleBMC women's health2023

Perceived guideline clarity impacts guideline-concordant care for breast cancer screening in women age 40-49.

Michelle B Nadler, Ann Marie Corrado, Brooke E Wilson, Alexandra Desnoyers, Eitan Amir, Noah Ivers, Laura Desveaux

Open access · goldAbstract read
In one paragraph

Article in BMC women's health, 2023. 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
0.7field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 6 institutions in 1 country.

Michelle B NadlerDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre, 700 University Avenue, Toronto, ON, M5G 1Z5, Canada. michelle.nadler@uhn.ca.
Ann Marie CorradoThe Peter Gilgan Centre for Women's Cancers, Women's College Hospital, Toronto, Canada.
Brooke E WilsonKingston Health Sciences Centre, Kingston, ON, Canada.
Alexandra DesnoyersUniversity of Lavel, Quebec City, QC, Canada.
Eitan AmirDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre, 700 University Avenue, Toronto, ON, M5G 1Z5, Canada.
Noah IversWomen's College Hospital, Toronto, Canada.
Laura DesveauxThe Peter Gilgan Centre for Women's Cancers, Women's College Hospital, Toronto, Canada.
Women's College Hospital · CAKingston Health Sciences Centre · CAPrincess Margaret Cancer Centre · CATrillium Health Centre · CAUniversité du Québec · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCanadian and US Task Forces recommend against routine mammography screening for women age 40-49 at average breast cancer risk as harms outweigh benefits. Both suggest individualized decisions based on the relative value women place on potential screening benefits and harms. Population-based data reveal variation in primary care professionals (PCPs) mammography rates in this age group after adjusting for sociodemographic factors, highlighting the need to explore PCP screening perspectives and how this informs clinical behaviours. Results from this study will inform interventions that can improve guideline concordant breast screening for this age group.

methodsQualitative semi-structured interviews were performed with PCPs in Ontario, Canada. Interviews were structured using the theoretical domains framework (TDF) to explore determinants of breast cancer screening best-practice behaviours: (1) risk assessment; (2) discussion regarding benefits and harms; and (3) referral for screening. ANALYSIS: Interviews were transcribed and analyzed iteratively until saturation. Transcripts were coded deductively by behaviour and TDF domain. Data that did not fit within a TDF code were coded inductively. The research team met repeatedly to identify potential themes that influenced or were important consequences of the screening behaviours. The themes were tested against further data, disconfirming cases, and different PCP demographics.

resultsEighteen physicians were interviewed. The theme of perceived guideline clarity (a lack of clarity on guideline-concordant practices) influenced all behaviours and moderated the extent to which the risk assessment and discussion occurred. Many were unaware of how risk-assessment factored into the guidelines and/or did not perceive that a shared-care discussion was guideline-concordant. Deferral to patient preference (screening referral without a complete discussion of benefits and harms) occurred when the PCPs had low knowledge regarding harms and/or if they experienced regret (TDF domain: emotion) resulting from prior clinical experiences. Older providers described patient's influence impacting their decisions and physicians trained outside Canada, practicing in higher-resourced areas, and female physicians described being influenced by beliefs about consequences of benefits of screening.

conclusionPerceived guideline clarity is an important driver of physician behaviour. Improving guideline concordant care should start by clarifying the guideline itself. Thereafter, targeted strategies include building skills in identifying and overcoming emotional factors and communication skills important for evidence-based screening discussions.

Indexed as

Breast NeoplasmsPhysiciansAdultCanadaEarly Detection of CancerFemaleHumansMiddle AgedPatient CareAge 40–49Barriers and facilitatorsBreast cancer screeningGuideline implementationGuidelinesMammogramTheoretical domains framework

Identifiers

PMID36803461
PMCPMC9942408
OpenAlexW4321370406

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.