Psychometric evaluation of the Perinatal Illness Perceptions Scale (PIPS).
| Autor: | Jomeen, Julie, Martin, Colin Robert, Jarrett, Patricia Mary |
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| Předmět: |
ATTITUDE (Psychology)
STATISTICAL correlation EXPERIMENTAL design FACTOR analysis MATERNAL health services RESEARCH methodology MEDICAL personnel MENTAL health PROFESSIONS PSYCHOMETRICS QUESTIONNAIRES RESEARCH RESEARCH evaluation DECISION making in clinical medicine CROSS-sectional method RESEARCH methodology evaluation DATA analysis software MULTIDIMENSIONAL Health Locus of Control scales |
| Zdroj: | Journal of Mental Health Training, Education & Practice; 2019, Vol. 14 Issue 2, p74-85, 12p |
| Abstrakt: | Purpose Perinatal mental health (PMH) is acknowledged as a significant public health issue associated with significant personal, family, social and economic burden. Research demonstrates that healthcare practitioners lack knowledge and confidence in this area but there is likely to be a complexity of factors that may influence practitioner behaviours, including negative attitudes towards people with mental health and inaccurate illness perceptions. The purpose of this paper is to evaluate the psychometric properties of the Perinatal Illness Perceptions Scale (PIPS), a conceptual derivation of the Illness Perception Questionnaire – Revised.Design/methodology/approach A cross-sectional and exploratory instrument development design, using exploratory factor analysis, was employed.Findings The scale demonstrated good psychometric properties revealing three sub-scales: causes, consequences (mother); consequences (baby).Originality/value The findings implicate the PIPS as the first robust psychometric measure, which can be used to in the assessment of practitioner knowledge of the causes and consequences of PMH. The PIPS could offer the opportunity to assess these domains within both educational and training context and identify practitioner attitudes which may affect clinical decision making and referral decisions. [ABSTRACT FROM AUTHOR] |
| Databáze: | Complementary Index |
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