Cost effectiveness of guided Internet-based interventions for depression in comparison with control conditions: An individual–participant data meta-analysis

Publikation: Beiträge in ZeitschriftenÜbersichtsarbeitenForschung

Standard

Cost effectiveness of guided Internet-based interventions for depression in comparison with control conditions: An individual–participant data meta-analysis. / Kolovos, Spyros; van Dongen, Johanna M.; Riper, Heleen et al.
in: Depression and Anxiety, Jahrgang 35, Nr. 3, 03.2018, S. 209-219.

Publikation: Beiträge in ZeitschriftenÜbersichtsarbeitenForschung

Harvard

Kolovos, S, van Dongen, JM, Riper, H, Buntrock, C, Cuijpers, P, Ebert, DD, Geraedts, AS, Kenter, RM, Nobis, S, Smith, A, Warmerdam, L, Hayden, JA, van Tulder, MW & Bosmans, JE 2018, 'Cost effectiveness of guided Internet-based interventions for depression in comparison with control conditions: An individual–participant data meta-analysis', Depression and Anxiety, Jg. 35, Nr. 3, S. 209-219. https://doi.org/10.1002/da.22714

APA

Kolovos, S., van Dongen, J. M., Riper, H., Buntrock, C., Cuijpers, P., Ebert, D. D., Geraedts, A. S., Kenter, R. M., Nobis, S., Smith, A., Warmerdam, L., Hayden, J. A., van Tulder, M. W., & Bosmans, J. E. (2018). Cost effectiveness of guided Internet-based interventions for depression in comparison with control conditions: An individual–participant data meta-analysis. Depression and Anxiety, 35(3), 209-219. https://doi.org/10.1002/da.22714

Vancouver

Kolovos S, van Dongen JM, Riper H, Buntrock C, Cuijpers P, Ebert DD et al. Cost effectiveness of guided Internet-based interventions for depression in comparison with control conditions: An individual–participant data meta-analysis. Depression and Anxiety. 2018 Mär;35(3):209-219. doi: 10.1002/da.22714

Bibtex

@article{105a7eaad82b4a04abf038d5fd4c0d30,
title = "Cost effectiveness of guided Internet-based interventions for depression in comparison with control conditions: An individual–participant data meta-analysis",
abstract = "Background: There is limited evidence on the cost effectiveness of Internet-based treatments for depression. The aim was to evaluate the cost effectiveness of guided Internet-based interventions for depression compared to controls. Methods: Individual–participant data from five randomized controlled trials (RCT), including 1,426 participants, were combined. Cost-effectiveness analyses were conducted at 8 weeks, 6 months, and 12 months follow-up. Results: The guided Internet-based interventions were more costly than the controls, but not statistically significant (12 months mean difference = €406, 95% CI: − 611 to 1,444). The mean differences in clinical effects were not statistically significant (12 months mean difference = 1.75, 95% CI: −.09 to 3.60 in Center for Epidemiologic Studies Depression Scale [CES-D] score,.06, 95% CI: −.02 to.13 in response rate, and.00, 95% CI: −.03 to.03 in quality-adjusted life-years [QALYs]). Cost-effectiveness acceptability curves indicated that high investments are needed to reach an acceptable probability that the intervention is cost effective compared to control for CES-D and response to treatment (e.g., at 12-month follow-up the probability of being cost effective was.95 at a ceiling ratio of 2,000 €/point of improvement in CES-D score). For QALYs, the intervention's probability of being cost effective compared to control was low at the commonly accepted willingness-to-pay threshold (e.g., at 12-month follow-up the probability was.29 and. 31 at a ceiling ratio of 24,000 and 35,000 €/QALY, respectively). Conclusions: Based on the present findings, guided Internet-based interventions for depression are not considered cost effective compared to controls. However, only a minority of RCTs investigating the clinical effectiveness of guided Internet-based interventions also assessed cost effectiveness and were included in this individual–participant data meta-analysis.",
keywords = "cost effectiveness, cost utility, depression, individual–participant data meta-analysis, Internet-based intervention, Health sciences, Psychology",
author = "Spyros Kolovos and {van Dongen}, {Johanna M.} and Heleen Riper and Claudia Buntrock and Pim Cuijpers and Ebert, {David D.} and Geraedts, {Anna S.} and Kenter, {Robin M.} and Stephanie Nobis and Andrea Smith and Lisanne Warmerdam and Hayden, {Jill A.} and {van Tulder}, {Maurits W.} and Bosmans, {Judith E.}",
note = "Publisher Copyright: {\textcopyright} 2018, The Authors. Depression and Anxiety published by Wiley Periodicals, Inc.",
year = "2018",
month = mar,
doi = "10.1002/da.22714",
language = "English",
volume = "35",
pages = "209--219",
journal = "Depression and Anxiety",
issn = "1091-4269",
publisher = "John Wiley & Sons Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - Cost effectiveness of guided Internet-based interventions for depression in comparison with control conditions

T2 - An individual–participant data meta-analysis

AU - Kolovos, Spyros

AU - van Dongen, Johanna M.

AU - Riper, Heleen

AU - Buntrock, Claudia

AU - Cuijpers, Pim

AU - Ebert, David D.

AU - Geraedts, Anna S.

AU - Kenter, Robin M.

AU - Nobis, Stephanie

AU - Smith, Andrea

AU - Warmerdam, Lisanne

AU - Hayden, Jill A.

AU - van Tulder, Maurits W.

AU - Bosmans, Judith E.

N1 - Publisher Copyright: © 2018, The Authors. Depression and Anxiety published by Wiley Periodicals, Inc.

PY - 2018/3

Y1 - 2018/3

N2 - Background: There is limited evidence on the cost effectiveness of Internet-based treatments for depression. The aim was to evaluate the cost effectiveness of guided Internet-based interventions for depression compared to controls. Methods: Individual–participant data from five randomized controlled trials (RCT), including 1,426 participants, were combined. Cost-effectiveness analyses were conducted at 8 weeks, 6 months, and 12 months follow-up. Results: The guided Internet-based interventions were more costly than the controls, but not statistically significant (12 months mean difference = €406, 95% CI: − 611 to 1,444). The mean differences in clinical effects were not statistically significant (12 months mean difference = 1.75, 95% CI: −.09 to 3.60 in Center for Epidemiologic Studies Depression Scale [CES-D] score,.06, 95% CI: −.02 to.13 in response rate, and.00, 95% CI: −.03 to.03 in quality-adjusted life-years [QALYs]). Cost-effectiveness acceptability curves indicated that high investments are needed to reach an acceptable probability that the intervention is cost effective compared to control for CES-D and response to treatment (e.g., at 12-month follow-up the probability of being cost effective was.95 at a ceiling ratio of 2,000 €/point of improvement in CES-D score). For QALYs, the intervention's probability of being cost effective compared to control was low at the commonly accepted willingness-to-pay threshold (e.g., at 12-month follow-up the probability was.29 and. 31 at a ceiling ratio of 24,000 and 35,000 €/QALY, respectively). Conclusions: Based on the present findings, guided Internet-based interventions for depression are not considered cost effective compared to controls. However, only a minority of RCTs investigating the clinical effectiveness of guided Internet-based interventions also assessed cost effectiveness and were included in this individual–participant data meta-analysis.

AB - Background: There is limited evidence on the cost effectiveness of Internet-based treatments for depression. The aim was to evaluate the cost effectiveness of guided Internet-based interventions for depression compared to controls. Methods: Individual–participant data from five randomized controlled trials (RCT), including 1,426 participants, were combined. Cost-effectiveness analyses were conducted at 8 weeks, 6 months, and 12 months follow-up. Results: The guided Internet-based interventions were more costly than the controls, but not statistically significant (12 months mean difference = €406, 95% CI: − 611 to 1,444). The mean differences in clinical effects were not statistically significant (12 months mean difference = 1.75, 95% CI: −.09 to 3.60 in Center for Epidemiologic Studies Depression Scale [CES-D] score,.06, 95% CI: −.02 to.13 in response rate, and.00, 95% CI: −.03 to.03 in quality-adjusted life-years [QALYs]). Cost-effectiveness acceptability curves indicated that high investments are needed to reach an acceptable probability that the intervention is cost effective compared to control for CES-D and response to treatment (e.g., at 12-month follow-up the probability of being cost effective was.95 at a ceiling ratio of 2,000 €/point of improvement in CES-D score). For QALYs, the intervention's probability of being cost effective compared to control was low at the commonly accepted willingness-to-pay threshold (e.g., at 12-month follow-up the probability was.29 and. 31 at a ceiling ratio of 24,000 and 35,000 €/QALY, respectively). Conclusions: Based on the present findings, guided Internet-based interventions for depression are not considered cost effective compared to controls. However, only a minority of RCTs investigating the clinical effectiveness of guided Internet-based interventions also assessed cost effectiveness and were included in this individual–participant data meta-analysis.

KW - cost effectiveness

KW - cost utility

KW - depression

KW - individual–participant data meta-analysis

KW - Internet-based intervention

KW - Health sciences

KW - Psychology

UR - http://www.scopus.com/inward/record.url?scp=85040543447&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/fdc988b3-5518-3e86-b522-5230a97de55f/

U2 - 10.1002/da.22714

DO - 10.1002/da.22714

M3 - Scientific review articles

C2 - 29329486

AN - SCOPUS:85040543447

VL - 35

SP - 209

EP - 219

JO - Depression and Anxiety

JF - Depression and Anxiety

SN - 1091-4269

IS - 3

ER -

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