Evidence map›Paper›PMID 29343947›Full record

ArticlePatient preference and adherence2018

Patient preferences for important attributes of bipolar depression treatments: a discrete choice experiment.

Daisy Ng-Mak, Jiat-Ling Poon, Laurie Roberts, Leah Kleinman, Dennis A Revicki, Krithika Rajagopalan

Open access · goldAbstract read
In one paragraph

Article in Patient preference and adherence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 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

6 authors at 2 institutions in 1 country.

Daisy Ng-MakGlobal Health Economics and Outcomes Research, Sunovion Pharmaceuticals Inc., Marlborough, MA.
Jiat-Ling PoonPatient-Centered Research, Evidera, Bethesda, MD, USA.
Laurie RobertsPatient-Centered Research, Evidera, Bethesda, MD, USA.
Leah KleinmanPatient-Centered Research, Evidera, Bethesda, MD, USA.
Dennis A RevickiPatient-Centered Research, Evidera, Bethesda, MD, USA.
Krithika RajagopalanGlobal Health Economics and Outcomes Research, Sunovion Pharmaceuticals Inc., Marlborough, MA.
Gramercy Research Group (United States) · USVion Pharmaceuticals (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to assess patient preferences regarding pharmacological treatment attributes for bipolar depression using a discrete choice experiment (DCE).

methodsAdult members of an Internet survey panel with a self-reported diagnosis of bipolar depression were invited via e-mail to participate in a web-based DCE survey. Participants were asked to choose between hypothetical medication alternatives defined by attributes and levels that were varied systematically. The six treatment attributes included in the DCE were time to improvement, risk of becoming manic, weight gain, risk of sedation, increased blood sugar, and increased cholesterol. Attributes were supported by literature review, expert input, and results of focus groups with patients. Sawtooth CBC System for Choice-Based Conjoint Analysis was used to estimate the part-worth utilities for the DCE analyses.

resultsThe analytical sample included 185 participants (50.8% females) from a total of 200 participants. The DCE analyses found weight gain to be the most important treatment attribute (relative importance =49.6%), followed by risk of sedation (20.2%), risk of mania (13.0%), increased blood sugar (8.3%), increased cholesterol (5.2%), and time to improvement (3.7%).

conclusionResults from this DCE suggest that adults with bipolar depression considered risks of weight gain and sedation associated with pharmacotherapy as the most important attributes for the treatment of bipolar depression. Incorporating patient preferences in the treatment decision-making process may potentially have an impact on treatment adherence and satisfaction and, ultimately, patient outcomes.

Indexed as

adverse eventsbipolar depressiontreatment preferenceweight gain

Identifiers

PMID29343947
PMCPMC5749384
OpenAlexW2779660202

What OpenQuestion holds

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LicenceCC BY-NC
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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.