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Economic Burden of Anxiety Disorders: A Systematic Review and Meta-Analysis

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  • Alexander Konnopka

    (University Medical Center Hamburg-Eppendorf
    Hamburg Center for Health Economics)

  • Hannah König

    (University Medical Center Hamburg-Eppendorf
    Hamburg Center for Health Economics)

Abstract

Background Anxiety disorders (AD) are common mental disorders, for which several cost-of-illness (COI) studies have been conducted in the past. Objective The aim of this review was to provide a systematic overview of these studies and an aggregation of their results. Methods A systematic literature search limited to studies published after 1999 was conducted in PubMed/MEDLINE in November 2018. We included top-down COI studies reporting costs for AD, and bottom-up COI studies reporting costs for AD and a non-diseased control group, and extracted data manually. Results of the top-down COI studies were aggregated by calculating the mean percentage of costs on gross domestic product (GDP) and health expenditure, while the results of the bottom-up studies were analyzed meta-analytically using the ‘ratio of means’ method and inverse-variance pooling. In this review, the logarithm of the relative difference in a continuous outcome between two groups is calculated and aggregated over the studies. The results can be interpreted as the relative change in costs imposed by a specific disease compared with baseline costs. Results We identified 13 top-down and 11 bottom-up COI studies. All top-down COI studies and four bottom-up COI studies reported costs for AD as a diagnostic group, four for generalized anxiety disorder (GAD), four for social anxiety disorder (SAD), and one for panic disorder. In top-down COI studies, direct costs of AD, on average, corresponded to 2.08% of health care costs and 0.22% of GDP, whereas indirect costs, on average, corresponded to 0.23% of GDP. In bottom-up COI studies, direct costs of patients with AD were increased by factor 2.17 (1.29–3.67; p = 0.004) and indirect costs were increased by factor 1.92 (1.05–3.53; p = 0.04), whereas total costs increased by factor 2.52 (1.73–3.68; p

Suggested Citation

  • Alexander Konnopka & Hannah König, 2020. "Economic Burden of Anxiety Disorders: A Systematic Review and Meta-Analysis," PharmacoEconomics, Springer, vol. 38(1), pages 25-37, January.
  • Handle: RePEc:spr:pharme:v:38:y:2020:i:1:d:10.1007_s40273-019-00849-7
    DOI: 10.1007/s40273-019-00849-7
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    Cited by:

    1. Ghazi I. Al Jowf & Ziyad T. Ahmed & Ning An & Rick A. Reijnders & Elena Ambrosino & Bart P. F. Rutten & Laurence de Nijs & Lars M. T. Eijssen, 2022. "A Public Health Perspective of Post-Traumatic Stress Disorder," IJERPH, MDPI, vol. 19(11), pages 1-17, May.
    2. Megumi Hazumi & Kentaro Usuda & Emi Okazaki & Mayumi Kataoka & Daisuke Nishi, 2022. "Differences in the Course of Depression and Anxiety after COVID-19 Infection between Recovered Patients with and without a Psychiatric History: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(18), pages 1-11, September.
    3. Alexandra Schosser & Birgit Senft & Marion Rauner, 2022. "The benefit of an ambulant psychiatric rehabilitation program in Vienna, Austria: an uncontrolled repeated measures study," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 19-48, March.
    4. Johanna Katharina Hohls & Hans-Helmut König & Eleanor Quirke & André Hajek, 2021. "Anxiety, Depression and Quality of Life—A Systematic Review of Evidence from Longitudinal Observational Studies," IJERPH, MDPI, vol. 18(22), pages 1-26, November.

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