Evidence map›Paper›PMID 25074354›Full record

Trial reportThe patient2015

Preference elicitation tool for abnormal uterine bleeding treatment: a randomized controlled trial.

Lisa M Hess, Abigail Litwiller, John Byron, John Stutsman, Kelly Kasper, Lee A Learman

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in The patient, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01721304 (Decision Making Among Treatment Alternatives for Abnormal Uterine Bleeding), which is not on this map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 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.

NCT01721304 nacompletednot on this map

Decision Making Among Treatment Alternatives for Abnormal Uterine Bleeding (AUB)

TypeinterventionalSponsorIndiana UniversityRan2009 to 2012Enrolled380ConditionsAbnormal Uterine BleedingArmsAdaptive Conjoint Analysis
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2024
    Pooled it
  2. Clarifying Values: An Updated and Expanded Systematic Review and Meta-Analysis.Medical decision making : an international journal of the Society for Medical Decision Making · 2021
    Pooled it
  3. Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2017
    Pooled it
  4. Article
  5. Article
  6. Interventions to improve access to care for abnormal uterine bleeding: A systematic scoping review.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2023
    Article
  7. 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

6 authors.

Lisa M HessDepartment of Obstetrics and Gynecology, Indiana University School of Medicine, and Department of Social and Behavioral Science, Indiana University School of Public Health, 714 N. Senate Avenue, Suite 250, Indianapolis, IN, 46202, USA, lmhess@iupui.edu.
Abigail Litwiller
John Byron
John Stutsman
Kelly Kasper
Lee A Learman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is estimated that one-third of women will experience abnormal menstrual bleeding. The majority of these cases are not due to cancer or pregnancy complications and, as a result, women are faced with a variety of treatment alternatives, the selection of which is largely dependent on personal preferences for care rather than clinical outcomes.

objectiveThis randomized trial was designed to evaluate a preference elicitation tool to promote physician-patient collaborative decision making for treatment of abnormal uterine bleeding (AUB).

methodsAdaptive conjoint analysis (ACA) was used to create a preference elicitation tool in English and in Spanish. Women with AUB were enrolled to the study and randomly assigned to ACA or usual counseling at the initial clinic visit at four clinics (three in Indianapolis, IN, USA, and one in Southern Pines, NC, USA). The ACA tool elicited preferences across eight attributes: treatment efficacy; sexual function; medical care; cost; fertility; frequency of medication use; permanence; and recovery time. t tests were used to compare differences in the primary outcomes of decision regret and treatment satisfaction at the follow-up visit. The study was designed to have 80 % power to detect significant differences between groups for the primary outcomes of regret and satisfaction.

resultsWomen were enrolled in the study between September 2009 and March 2012. 183 participants were randomized to ACA and 191 to usual counseling. Overall, mean (standard deviation) treatment satisfaction was high at 35.71 (9.72) (scale of 0-44), and decision regret was low at 25.9 (21.0) (scale of 0-100), creating ceiling effects for the selected outcome variables; there were no significant differences between the ACA and control groups at the follow-up assessment. There was a strong inverse relationship between age and decision regret (p = 0.007). Exploratory subgroup analysis in the youngest quartile comprising 64 women aged 19-35 years showed a statistically non-significant difference in mean regret scores for the ACA group versus usual counseling (24.6 vs. 34.6, respectively; p = 0.08).

conclusionsA preference elicitation tool at the initial consultation visit did not reduce decision regret or improve treatment satisfaction among patients with AUB; however, there is a need for additional research to further understand this tool's potential role in promoting collaborative decision making, which may be particularly important among younger women.

Indexed as

Decision MakingPatient ParticipationPatient PreferencePatient SatisfactionAdultFemaleHumansMiddle AgedPhysician-Patient RelationsSocioeconomic FactorsUterine Hemorrhage

Identifiers

What OpenQuestion holds

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Registered trials

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.