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. 2021 Feb 19;16(2):e0246728.
doi: 10.1371/journal.pone.0246728. eCollection 2021.

Resource allocation for depression management in general practice: A simple data-based filter model

Breanne Hobden  1   2   3 , Mariko Carey  1   2   3 , Rob Sanson-Fisher  1   2   3 , Andrew Searles  3 , Christopher Oldmeadow  3 , Allison Boyes  1   2   3
Affiliations
Free PMC article

Resource allocation for depression management in general practice: A simple data-based filter model

Breanne Hobden et al. PLoS One. .
Free PMC article

Abstract

Background: This study aimed to illustrate the potential utility of a simple filter model in understanding the patient outcome and cost-effectiveness implications for depression interventions in primary care.

Methods: Modelling of hypothetical intervention scenarios during different stages of the treatment pathway was conducted.

Results: Three scenarios were developed for depression related to increasing detection, treatment response and treatment uptake. The incremental costs, incremental number of successes (i.e., depression remission) and the incremental costs-effectiveness ratio (ICER) were calculated. In the modelled scenarios, increasing provider treatment response resulted in the greatest number of incremental successes above baseline, however, it was also associated with the greatest ICER. Increasing detection rates was associated with the second greatest increase to incremental successes above baseline and had the lowest ICER.

Conclusions: The authors recommend utility of the filter model to guide the identification of areas where policy stakeholders and/or researchers should invest their efforts in depression management.

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Conflict of interest statement

The authors have declared that no competing interests exist.

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Grants and funding

Dr Bree Hobden is supported by a Colin Dodds Australian Rotary Health Postdoctoral Fellowship (G1801108). A/Prof Mariko Carey is supported by a National Health and Medical Research Council Boosting Dementia Research Leadership Fellowship (1137807). Dr Allison Boyes is supported by a National Health and Medical Research Council Early Career Fellowship (1073317). This work was supported by a Strategic Research Partnership Grant (CSR 11-02) from Cancer Council NSW to the Newcastle Cancer Control Collaborative (New-3C) and infrastructure funding from the Hunter Medical Research Institute (HMRI). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.