Evidence map›Paper›PMID 25589523›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2015

Understanding Patients' Preferences for Referrals to Specialists for an Asymptomatic Condition.

Robert Dunlea, Leslie Lenert

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies.International journal of environmental research and public health · 2022
    Pooled it
  2. Trial
  3. Defining a theoretical framework for a quality referral at the primary-secondary care interface: a systematic scoping review with qualitative content analysis.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Robert DunleaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT (RD, LL)
Leslie LenertDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT (RD, LL)

Funding

UNIVERSITY OF UTAH MEDICAL INFORMATICS TRAININGT15LM007124 · NLM · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Karen Louise Eilbeck · 1997 to 2026
$22.0M
Techniques to Integrate Disparate Data: Clinical Personalized Pragmatic PredictioR01GM108346 · NIGMS · UNIVERSITY OF UTAH · PI FREY, LEWIS JAMES, LENERT, LESLIE A. · 2013 to 2016
$2.1M
NIGMS NIH HHS R01 GM108346NLM NIH HHS T15 LM007124
6 · The paper itself

Abstract

backgroundA specialty referral is a common but complex decision that often requires a primary care provider to balance his or her own interests with those of the patient.

objectiveTo examine the factors that influence a patient's choice of a specialist for consultation for an asymptomatic condition and better understand the tradeoffs that patients are and are not willing to make in this decision.

designStratified cross-sectional convenience sample of subjects selected to parallel US population demographics.

participantsMembers of an Internet survey panel who reported seeing a physician in the past year whose responses met objective quality metrics for attention. MAIN MEASURES: Respondents completed an adaptive conjoint analysis survey comparing specialists regarding eight attributes. The reliability of assessments and the predictive validity of models were measured using holdout samples. The relative importance (RI) of different attributes was computed using paired t tests. The implications of utility values were studied using market simulation methods. KEY

resultsFive hundred and thirty subjects completed the survey and had responses that met quality criteria. The reliability of responses was high (86% agreement), and models were predictive of patients' preferences (82.6% agreement with holdout choices). The most important attribute for patients was out-of-pocket cost (RI of 19.5%, P < 0.0001 v. other factors). Among the nonfinancial factors, "collaboration and communication" with the primary care provider was the most important attribute (RI of 13.1% P < 0.001). Third in importance was whether the specialist practiced shared decision making (RI of 12.2% P < 0.001 v. other factors except delay in consultation). Cost did not dominate decision making. In market simulations, patients frequently preferred more expensive providers. For example, most patients (76.3%) were willing to pay more ($80) to see a specialist who both collaborated well with their primary care provider and practiced shared decision making. Most patients prefer to wait for a doctor who practices shared decision making: Only one-third (32.3%) of patients preferred a paternalistic doctor who was available in 2 weeks over a doctor who practiced decision making but was available in 4 weeks.

conclusionsIn the setting of a referral for an asymptomatic but serious condition, out-of-pocket costs are important to patients; however, they also value specialists who collaborate and communicate well with their primary care providers and who practice shared decision making. Patients have wide variability in preferences for specialists, and referral decisions should be individualized.

Indexed as

conjoint analysishealth services researchpatient preferencespatient referral

Identifiers

PMID25589523
PMCPMC4501911

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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.