The clinical performance and cost-effectiveness of two psychosocial assessment models in maternity care: The Perinatal Integrated Psychosocial Assessment study

2021 
Abstract Problem Although perinatal universal depression and psychosocial assessment is recommended in Australia, its clinical performance and cost-effectiveness remain uncertain. Aim To compare the performance and cost-effectiveness of two models of psychosocial assessment: Usual-Care and Perinatal Integrated Psychosocial Assessment (PIPA). Methods Women attending their first antenatal visit were prospectively recruited to this cohort study. Endorsement of significant depressive symptoms or psychosocial risk generated an ‘at-risk’ flag identifying those needing referral to the Triage Committee. Based on its detailed algorithm, a higher threshold of risk was required to trigger the ‘at-risk’ flag for PIPA than for Usual-Care. Each model’s performance was evaluated using the midwife’s agreement with the ‘at-risk’ flag as the reference standard. Cost-effectiveness was limited to the identification of True Positive and False Positive cases. Staffing costs associated with administering each screening model were quantified using a bottom-up time-in-motion approach. Findings Both models performed well at identifying ‘at-risk’ women (sensitivity: Usual-Care 0.82 versus PIPA 0.78). However, the PIPA model was more effective at eliminating False Positives and correctly identifying ‘at-risk’ women (Positive Predictive Value: PIPA 0.69 versus Usual Care 0.41). PIPA was associated with small incremental savings for both True Positives detected and False Positives averted. Discussion Overall PIPA performed better than Usual-Care as a psychosocial screening model and was a cost-saving and relatively effective approach for detecting True Positives and averting False Positives. These initial findings warrant evaluation of longer-term costs and outcomes of women identified by the models as ‘at-risk’ and ‘not at-risk’ of perinatal psychosocial morbidity.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    39
    References
    0
    Citations
    NaN
    KQI
    []