Evidence map›Paper›PMID 28379829›Full record

ArticleJournal of the American Board of Family Medicine : JABFM

How Men with Prostate Cancer Choose Specialists: A Qualitative Study.

Tammy Jiang, Christian H Stillson, Craig Evan Pollack, Linda Crossette, Michelle Ross, Archana Radhakrishnan, David Grande

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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. 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.

Tammy JiangFrom the Brown University School of Public Health, Providence, RI (TJ); the Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (CHS, LC, DG); the Department of Medicine, Johns Hopkins School of Medicine and Bloomberg School of Public Health, Baltimore, MD (CEP, AR); the Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia (MR); and the Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia (DG).
Christian H StillsonFrom the Brown University School of Public Health, Providence, RI (TJ); the Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (CHS, LC, DG); the Department of Medicine, Johns Hopkins School of Medicine and Bloomberg School of Public Health, Baltimore, MD (CEP, AR); the Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia (MR); and the Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia (DG).
Craig Evan PollackFrom the Brown University School of Public Health, Providence, RI (TJ); the Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (CHS, LC, DG); the Department of Medicine, Johns Hopkins School of Medicine and Bloomberg School of Public Health, Baltimore, MD (CEP, AR); the Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia (MR); and the Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia (DG).
Linda CrossetteFrom the Brown University School of Public Health, Providence, RI (TJ); the Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (CHS, LC, DG); the Department of Medicine, Johns Hopkins School of Medicine and Bloomberg School of Public Health, Baltimore, MD (CEP, AR); the Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia (MR); and the Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia (DG).
Michelle RossFrom the Brown University School of Public Health, Providence, RI (TJ); the Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (CHS, LC, DG); the Department of Medicine, Johns Hopkins School of Medicine and Bloomberg School of Public Health, Baltimore, MD (CEP, AR); the Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia (MR); and the Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia (DG).
Archana RadhakrishnanFrom the Brown University School of Public Health, Providence, RI (TJ); the Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (CHS, LC, DG); the Department of Medicine, Johns Hopkins School of Medicine and Bloomberg School of Public Health, Baltimore, MD (CEP, AR); the Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia (MR); and the Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia (DG).
David GrandeFrom the Brown University School of Public Health, Providence, RI (TJ); the Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (CHS, LC, DG); the Department of Medicine, Johns Hopkins School of Medicine and Bloomberg School of Public Health, Baltimore, MD (CEP, AR); the Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia (MR); and the Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia (DG). dgrande@wharton.upenn.edu.

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Research Traiing/Education CoreP60MD006900 · NIMHD · UNIVERSITY OF PENNSYLVANIA · PI REBBECK, TIMOTHY R · 2012 to 2016
$6.6M
A Network Analytic Approach to Modeling Variation in Prostate Cancer CareK07CA151910 · NCI · JOHNS HOPKINS UNIVERSITY · PI POLLACK, CRAIG EVAN · 2011 to 2015
$780k
NCI NIH HHS K07 CA151910NCI NIH HHS P30 CA006973NIMHD NIH HHS P60 MD006900
6 · The paper itself

Abstract

objectiveThe specific specialist that a patient sees can have a large influence on the type of care they receive.

methodsWe administered semistructured interviews with 47 men diagnosed with prostate adenocarcinoma between 2012 and 2014. Telephone interviews were recorded, transcribed, and analyzed using a systematic thematic approach.

resultsThree profiles of patients emerged for choosing specialists: active (21.3%), partially active (53.2%), and passive (25.5%). Active patients conducted substantial research when choosing a diagnosing urologist and a treating specialist: they searched online, consulted other men with prostate cancer, and/or visited multiple specialists for opinions. Partially active patients took only 1 additional step to find a treating specialist on their own after receiving a referral from their diagnosing urologist. Passive patients relied exclusively on referrals from their primary care physicians (PCPs) and diagnosing urologists.

conclusionThe majority of patients relied on their PCPs for referrals to diagnosing urologists and on their diagnosing urologists to choose the treating specialist. Given these findings and the significance of specialist choice in determining treatment, it is important that PCPs recognize their indirect but potentially important effect on treatment choice when making referrals for prostate cancer. PCPs should consider counseling patients about seeking second opinions from providers with different treatment perspectives and participating in treatment decisions.

Indexed as

Choice BehaviorReferral and ConsultationAdenocarcinomaAgedAged, 80 and overCounselingDecision MakingHumansMaleMiddle AgedPhysician-Patient RelationsPhysicians, Primary CarePrimary Health CareProstatic NeoplasmsQualitative ResearchUrologistsAdenocarcinomaChoice BehaviorCounselingPrimary Care PhysiciansProstatic NeoplasmsReferral and ConsultationResearchSpecializationTelephone

Identifiers

PMID28379829
PMCPMC5568685

What OpenQuestion holds

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LicenceTDM
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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.