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Review
. 2012 Oct;15(5):375-86.
doi: 10.1007/s00737-012-0297-8. Epub 2012 Aug 1.

Measuring perinatal mental health risk

M Johnson  1 , V Schmeid, S J Lupton, M-P Austin, S M Matthey, L Kemp, T Meade, A E Yeo
Affiliations
Review

Measuring perinatal mental health risk

M Johnson et al. Arch Womens Ment Health. 2012 Oct.

Abstract

The purpose of this review was to critically analyse existing tools to measure perinatal mental health risk and report on the psychometric properties of the various approaches using defined criteria. An initial literature search revealed 379 papers, from which 21 papers relating to ten instruments were included in the final review. A further four papers were identified from experts (one excluded) in the field. The psychometric properties of six multidimensional tools and/or criteria were assessed. None of the instruments met all of the requirements of the psychometric properties defined. Some had used large sample sizes but reported low positive predictive values (Antenatal Risk Questionnaire (ANRQ)) or insufficient information regarding their clinical performance (Antenatal Routine Psychosocial Assessment (ARPA)), while others had insufficient sample sizes (Antenatal Psychosocial Health Assessment Tool, Camberwell Assessment of Need-Mothers and Contextual Assessment of Maternity Experience). The ANRQ has fulfilled the requirements of this analysis more comprehensively than any other instrument examined based on the defined rating criteria. While it is desirable to recommend a tool for clinical practice, it is important that clinicians are made aware of their limitations. The ANRQ and ARPA represent multidimensional instruments commonly used within Australia, developed within large samples with either cutoff scores or numbers of risk factors related to service outcomes. Clinicians can use these tools, within the limitations presented here, to determine the need for further intervention or to refer women to mental health services. However, the effectiveness of routine perinatal psychosocial assessment continues to be debated, with further research required.

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Figures

Fig. 1
Fig. 1
Systematic literature review inclusion and exclusion criteria
See this image and copyright information in PMC

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