Trial reportMedical decision making : an international journal of the Society for Medical Decision Making2018
Variability in Affect and Willingness to Take Medication.
Trial report in Medical decision making : an international journal of the Society for Medical Decision Making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- Development and validation of prescription drug risk, efficacy, and benefit perception measures in the context of direct-to-consumer prescription drug advertising.Research in social & administrative pharmacy : RSAP · 2021Article
- Article
- Effects of Emotion on Medical Decisions Involving Tradeoffs.Medical decision making : an international journal of the Society for Medical Decision Making · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectiveTo determine if 1) patients have distinct affective reaction patterns to medication information, and 2) whether there is an association between affective reaction patterns and willingness to take medication.
methodsWe measured affect in real time as subjects listened to a description of benefits and side effects for a hypothetical new medication. Subjects moved a dial on a handheld response system to indicate how they were feeling from "Very Good" to "Very Bad". Patterns of reactions were identified using a cluster-analytic statistical approach for multiple time series. Subjects subsequently rated their willingness to take the medication on a 7-point Likert scale. Associations between subjects' willingness ratings and affect patterns were analyzed. Additional analyses were performed to explore the role of race/ethnicity regarding these associations.
resultsClusters of affective reactions emerged that could be classified into 4 patterns: "Moderate" positive reactions to benefits and negative reactions to side effects ( n = 186), "Pronounced" positive reactions to benefits and negative reactions to side effects ( n = 110), feeling consistently "Good" ( n = 58), and feeling consistently close to "Neutral" ( n = 33). Mean (standard error) willingness to take the medication was greater among subjects feeling consistently Good 4.72 (0.20) compared with those in the Moderate 3.76 (0.11), Pronounced 3.68 (0.14), and Neutral 3.62 (0.26) groups. Black subjects with a Pronounced pattern were less willing to take the medication compared with both Hispanic ( P = 0.0270) and White subjects ( P = 0.0001) with a Pronounced pattern.
conclusionPatients' affective reactions to information were clustered into specific patterns. Reactions varied by race/ethnicity and were associated with treatment willingness. Ultimately, a better understanding of how patients react to information may help providers develop improved methods of communication.
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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.