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No blank slates: Pre-existing schemas about pharmaceuticals predict memory for side effects.
- Source :
- Psychology & Health; Apr2017, Vol. 32 Issue 4, p402-421, 20p
- Publication Year :
- 2017
-
Abstract
- Objectives:Attribution of symptoms as medication side effects is informed by pre-existing beliefs about medicines and perceptions of personal sensitivity to their effects (pharmaceutical schemas). We tested whether (1) pharmaceutical schemas were associated with memory (recall/recognition) for side effect information (2) memory explained the attribution of a common unrelated symptom as a side effect. Design:In this analogue study participants saw the patient leaflet of a fictitious asthma drug listing eight side effects. Main outcome measures:We measured recall and recognition memory for side effects and used a vignette to test whether participants attributed an unlisted common symptom (headache) as a side effect. Results:Participants who perceived pharmaceuticals as more harmful in general recalled fewer side effects correctly (rCorrect Recall = −.273), were less able to differentiate between listed and unlisted side effects (rRecognition Sensitivity = −.256) and were more likely to attribute the unlisted headache symptom as a side effect (rside effect attribution = .381,ps < .01). The effect of harm beliefs on side effect attribution was partially mediated by correct recall of side effects. Conclusion:Pharmaceutical schemas are associated with memory for side effect information. Memory may explain part of the association between pharmaceutical schemas and the attribution of unrelated symptoms as side effects. [ABSTRACT FROM PUBLISHER]
- Subjects :
- DRUG therapy for asthma
STATISTICAL correlation
EXPERIMENTAL design
HEADACHE
HEALTH attitudes
IATROGENIC diseases
CASE studies
MEMORY
PHARMACOLOGY
PROBABILITY theory
QUESTIONNAIRES
RECOGNITION (Psychology)
REGRESSION analysis
RESEARCH funding
SCALE analysis (Psychology)
SELF-evaluation
SURVEYS
T-test (Statistics)
SAMPLE size (Statistics)
VISUAL analog scale
PRE-tests & post-tests
DATA analysis software
PATIENTS' attitudes
MEDICAL coding
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 08870446
- Volume :
- 32
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Psychology & Health
- Publication Type :
- Academic Journal
- Accession number :
- 121369462
- Full Text :
- https://doi.org/10.1080/08870446.2016.1273355