Demographic correlates of medication knowledge in Hong Kong early psychosis patients

Aim Patient knowledge of prescribed medications is important for accurate medication consumption. Not many studies have identified the demographic correlates of medication knowledge in psychiatric patients, and fewer have performed so for non‐Western societies, which may present different results ow...

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Bibliographic Details
Published in:Early intervention in psychiatry 2018-02, Vol.12 (1), p.107-112
Main Authors: Lau, Karen Chi‐Kwan, Lee, Edwin Ho‐Ming, Hui, Christy Lai‐Ming, Chang, Wing‐Chung, Chan, Sherry Kit‐Wa, Chen, Eric Yu‐Hai
Format: Article
Language:English
Subjects:
Adult
Antipsychotic Agents - therapeutic use
Correlation analysis
Demographics
Demography
Education
Female
Health Knowledge, Attitudes, Practice
Hong Kong
Humans
Knowledge
Male
medication knowledge
Mental health
patient demographics
Patients
Psychosis
Psychotic Disorders - drug therapy
Psychotic Disorders - psychology
Surveys and Questionnaires
Young Adult
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Summary:Aim Patient knowledge of prescribed medications is important for accurate medication consumption. Not many studies have identified the demographic correlates of medication knowledge in psychiatric patients, and fewer have performed so for non‐Western societies, which may present different results owing to distinct cultural factors. Our objective was to identify the demographic correlates of medication knowledge in early psychosis patients from Hong Kong. Methods A short questionnaire comprising questions on six components of medication knowledge was administered to 105 consecutive early psychosis patients from an outpatient clinic in Hong Kong. A suite of patient demographics was assembled from clinicians' records. Results Poor medication knowledge was characterized by patients of older age (>30 years), low education level (≤Form 3), overall negative family relationships (as compared with overall positive ones) and shorter treatment duration (≤4 years). Shorter treatment duration most consistently predicted poor medication knowledge, displaying significant (P 
ISSN:1751-7885
1751-7893
DOI:10.1111/eip.12351