Evidence map›Paper›PMID 32885395›Full record

ArticleThe patient2021

Comparing the Preferences of Patients and the General Public for Treatment Outcomes in Type 2 Diabetes Mellitus.

Norah L Crossnohere, Sarah Janse, Ellen Janssen, John F P Bridges

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In one paragraph

Article in The patient, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  5. Article
  6. Assessing patient information needs for new antidiabetic medications to inform shared decision-making: A best-worst scaling experiment in China.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Norah L CrossnohereDepartment of Biomedical Informatics, The Ohio State University College of Medicine, 1800 Cannon Drive, Columbus, OH, 43210, USA. norah.crossnohere@osumc.edu.ORCID 0000-0002-2811-1330
Sarah JanseDepartment of Biomedical Informatics, The Ohio State University College of Medicine, 1800 Cannon Drive, Columbus, OH, 43210, USA.
Ellen JanssenCenter for Medical Technology Policy, World Trade Center Baltimore, 401 East Pratt Street, Suite 631, Baltimore, MD, 21202, USA.
John F P BridgesDepartment of Biomedical Informatics, The Ohio State University College of Medicine, 1800 Cannon Drive, Columbus, OH, 43210, USA.

Funding

ENHANCING REGULATORY SCIENCE THROUGH A UNIQUE FDA-ACADEMIC PARTNERSHIPU01FD004977 · FDA · JOHNS HOPKINS UNIVERSITY · PI ALEXANDER, G. CALEB · 2014 to 2015
$1.2M
FDA HHS UO1FD004977Patient-Centered Outcomes Research Institute ME-1303-5946
6 · The paper itself

Abstract

backgroundHealthcare treatments and interventions are traditionally evaluated from the societal perspective, but a more patient-centric perspective has been proposed in recent years. We sought to compare preferences of patients and the general public for treatment outcomes of type 2 diabetes using both best-worst scaling (BWS) and rating approaches.

methodsA survey evaluating the treatment priorities for type 2 diabetes was conducted in the United States. Members of the general public and patients with type 2 diabetes were recruited from a nationally sampled panel. Participants indicated the importance of seven potential treatment outcomes (hypoglycemic events, glycated hemoglobin [A1c], weight loss, mental health, functioning, glycemic stability, and cardiovascular health) using (1) BWS case 1 and (2) a rating task. Preference differences from BWS prioritizations were explored using mixed logistic regression (BWS preference weights were probability re-scaled so that the weightings of the seven items collectively summed to 100). The consistency of scale between samples was explored using heteroskedastic conditional logistic regression of BWS data. Spearman rank correlation was used to compare standardized BWS preference weights and rating scores for each group. Both groups evaluated the BWS and rating activities using debriefing questions.

resultsThe public and patient samples included 314 and 313 respondents, respectively. The public was on average 16 years younger than patients (48 vs 64 years, P < 0.001). In BWS, patients and the public both ranked A1c, glycemic stability, and cardiovascular health within their top three outcomes. Patients valued the outcome A1c most highly and found it twice as important as did the public (41.0 vs 20.2, P < 0.001). The public valued cardiovascular health most highly, and found it to be twice as important than did patients (31.3 vs 17.4, P < 0.001). Patients were more consistent in their preferences than the public (λ = 1.66, P = 0.01). Preferences elicited using BWS and rating approaches were highly correlated for both patients (ρ = 0.96) and the public (ρ = 0.92). Patients were more likely than the public to endorse the BWS as easy to answer (P < 0.001), easy to understand (P < 0.001), consistent with preferences (P < 0.001), and relevant (P < 0.001). Both patients and the public found the rating activity easier to answer and understand, and more consistent with their preferences, than the BWS (P < 0.001).

conclusionsWe provide some of the first evidence demonstrating a difference in patient and public treatment priorities for diabetes. That patients were more consistent in their preferences than the public and found the BWS and Likert rating instruments more relevant suggests that patient priorities may be more appropriate than those of the general public in some medical decision-making contexts.

Indexed as

Diabetes Mellitus, Type 2HumansLogistic ModelsPatient PreferenceSurveys and QuestionnairesTreatment OutcomeUnited States

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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.