Evidence map›Paper›PMID 25790082›Full record

ArticleChest2015

Primary Care Providers and a System Problem: A Qualitative Study of Clinicians Caring for Patients With Incidental Pulmonary Nodules.

Sara E Golden, Renda Soylemez Wiener, Donald Sullivan, Linda Ganzini, Christopher G Slatore

Open access · bronzeAbstract read
In one paragraph

Article in Chest, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Sara E GoldenFrom the Health Services Research and Development, Department of Medicine, Oregon Health and Science University, Portland, OR. Electronic address: sara.golden1@va.gov.
Renda Soylemez WienerCenter for Healthcare Organization and Implementation Research, Edith Nourse Rogers Memorial VA Hospital, Bedford, MA; The Pulmonary Center, Boston University School of Medicine, Boston, MA.
Donald SullivanFrom the Health Services Research and Development, Department of Medicine, Oregon Health and Science University, Portland, OR; Division of Geriatric Medicine, Department of Psychiatry, Department of Medicine, Oregon Health and Science University, Portland, OR.
Linda GanziniFrom the Health Services Research and Development, Department of Medicine, Oregon Health and Science University, Portland, OR; Division of Geriatric Medicine, Department of Psychiatry, Department of Medicine, Oregon Health and Science University, Portland, OR.
Christopher G SlatoreFrom the Health Services Research and Development, Department of Medicine, Oregon Health and Science University, Portland, OR; Section of Pulmonary and Critical Care Medicine, VA Portland Health Care System, Portland, OR; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Oregon Health and Science University, Portland, OR.
Health Services Research & Development · USOregon Health & Science University · USEdith Nourse Rogers Memorial Veterans Hospital · US

Funding

Oregon Clinical and Translational Research InstituteKL2TR000152 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$1.7M
Improving decisions about evaluating pulmonary nodules for lung cancerK07CA138772 · NCI · DARTMOUTH COLLEGE · PI WIENER, RENDA SOYLEMEZ · 2009 to 2013
$860k
NCATS NIH HHS 5KL2TR000152-08NCATS NIH HHS KL2 TR000152NCI NIH HHS K07 CA138772
6 · The paper itself

Abstract

backgroundAs lung cancer screening with low-dose CT scanning is implemented, an increasing number of people will be diagnosed with pulmonary nodules. Primary care clinicians care for the vast majority of these patients, but their experiences with communication and managing distress in this population are not well understood.

methodsWe conducted qualitative interviews of 15 primary care providers (PCPs) at two academic medical centers who care for patients with pulmonary nodules. We used qualitative description analysis, focusing on clinicians' information exchange and other communication behaviors.

resultsMost PCPs believed they had inadequate information to counsel patients regarding lung nodules, although this information is desired. PCPs were concerned patients could "fall through the cracks" but did not have access to a reliable system to ensure follow-up adherence. They were limited by time, knowledge, and resources in providing the preferred level of care. Most PCPs did not discuss the specific risk a nodule was lung cancer, in part because they did not have ready access to this information. PCPs believed most patients did not have substantial distress as a result of nodule detection. Most PCPs did not include patients when making decisions about the follow-up plan.

conclusionsPCPs often lack systemic resources to optimize patient-centered approaches when discussing incidental pulmonary nodules with patients. With the advent of lung cancer screening, pulmonologists can assist primary care colleagues by providing accurate information to counsel patients and assisting in managing conversations about the risk of cancer. Pulmonologists should support efforts to implement reliable systems to ensure adherence to follow-up.

Indexed as

Lung NeoplasmsMultiple Pulmonary NodulesPhysicians, Primary CareSolitary Pulmonary NoduleAttitude of Health PersonnelClinical Decision-MakingCommunication BarriersHumansIncidental FindingsNeeds AssessmentPatient-Centered CarePhysician-Patient RelationsQualitative Research

Identifiers

PMID25790082
PMCPMC4665737
OpenAlexW2009015197

What OpenQuestion holds

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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.