Evidence map›Paper›PMID 27727457›Full record

ArticleCancer2017

Mammography decision making: Trends and predictors of provider communication in the Health Information National Trends Survey, 2011 to 2014.

Laura M Spring, Megan R Marshall, Erica T Warner

Abstract read
In one paragraph

Article in Cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

3 authors.

Laura M SpringBreast Medical Oncology, Massachusetts General Hospital, Boston, Massachusetts.
Megan R MarshallDepartment of Orthopedics, Massachusetts General Hospital, Boston, Massachusetts.
Erica T WarnerClinical Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.

Funding

Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
Training Program in Cancer Biology and TherapeuticsT32CA071345 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Daniel A. Haber, Lecia V. Sequist · 1997 to 2026
$10.6M
Race/Ethnicity and Mammographic Density: Genetic and Lifestyle FactorsK01CA188075 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WARNER, ERICA T · 2014 to 2017
$518k
NCATS NIH HHS UL1 TR001102NCI NIH HHS K01 CA188075NCI NIH HHS T32 CA071345
6 · The paper itself

Abstract

backgroundIn 2009, the US Preventive Services Task Force recommended that the decision to initiate screening mammography before age 50 years should be individualized. Herein, the authors examined whether health care providers are communicating regarding mammography decision making with women and whether communication is associated with screening behavior.

methodsData were drawn from the 2011 to 2014 Health Information National Trends Survey (HINTS). A total of 5915 female respondents aged ≥ 40 years who responded to the following question were included: "Has a doctor or other health professional ever told you that you could choose whether or not to have a mammogram?" We used logistic regression to generate odds ratios (ORs) and 95% confidence intervals (95% CIs) for predictors of provider communication and assessed whether provider communication was associated with mammography in the previous 2 years overall and stratified by age.

resultsFewer than 50% of the women reported provider communication regarding mammogram choice. Women who reported provider communication were not found to be more likely to report no mammogram within the past 2 years (OR, 1.07; 95% CI, 0.87-1.31) compared with those who did not. When stratified by 10-year age group, provider communication was associated with a higher likelihood of no mammogram only among women age ≥70 years (OR, 1.64; 95% CI, 1.15-2.34), and was associated with a lower likelihood of no mammogram only among women aged 40 to 49 years (OR, 0.63; 95% CI, 0.43-0.92).

conclusionsBetween 2011 and 2014, less than one-half of women received communication regarding mammogram choice despite recommendations from the US Preventive Services Task Force. Provider communication regarding mammogram choice can influence screening behavior, particularly for younger and older women. Cancer 2017;123:401-409. © 2016 American Cancer Society.

Indexed as

MammographyMass ScreeningAdultAgedAge FactorsBreast NeoplasmsDecision MakingFemaleHumansLogistic ModelsMiddle AgedPatient Acceptance of Health CareSocioeconomic FactorsUnited Statescommunicationdecision makingmammographysurveys and questionnaires

Identifiers

PMID27727457
PMCPMC5258770

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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.