Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-23T01:51:06.941Z Has data issue: false hasContentIssue false

Cost-utility of a web-based intervention to promote maternal mental health among postpartum women presenting low risk for postpartum depression

Published online by Cambridge University Press:  21 July 2022

Fabiana Monteiro*
Affiliation:
University of Coimbra, Center for Research in Neuropsychologu and Cognitive Behavioral Intervention, Faculty of Psychoogy and Educational Sciences, Coimbra, Portugal
Patrícia Antunes
Affiliation:
Centre for Health Studies and Research, Faculty of Economics, University of Coimbra, Coimbra, Portugal
Marco Pereira
Affiliation:
University of Coimbra, Center for Research in Neuropsychologu and Cognitive Behavioral Intervention, Faculty of Psychoogy and Educational Sciences, Coimbra, Portugal
Maria C. Canavarro
Affiliation:
University of Coimbra, Center for Research in Neuropsychologu and Cognitive Behavioral Intervention, Faculty of Psychoogy and Educational Sciences, Coimbra, Portugal
Ana Fonseca
Affiliation:
University of Coimbra, Center for Research in Neuropsychologu and Cognitive Behavioral Intervention, Faculty of Psychoogy and Educational Sciences, Coimbra, Portugal
*
* Author for correspondence: Fabiana Monteiro, E-mail: [email protected]

Abstract

Objectives

Web-based interventions for the promotion of maternal mental health could represent a cost-effective strategy to reduce the burden associated with perinatal mental illness. This study aimed to evaluate the cost-utility of Be a Mom, a self-guided web-based cognitive behavioral therapy intervention, compared with a waiting-list control.

Methods

The economic evaluation alongside a randomized controlled trial was conducted from a societal perspective over a 14-month time frame. Postpartum women presenting low risk for postpartum depression were randomized to the intervention (n = 191) or control (n = 176) group and assessed at baseline, postintervention and 4 and 12 months after postintervention. Data regarding healthcare use, productive losses and quality-adjusted life years (QALYs) were collected and used to calculate incremental cost-effectiveness ratios (ICERs). Uncertainty was accounted for with nonparametric bootstrapping and sensitivity analyses.

Results

At 14 months, and after accounting for a 3.5 percent discount rate, the intervention resulted in a yearly cost-saving of EUR 165.47 (−361.77, 28.51) and a QALY gain of 0.0064 (−0.0116, 0.0244). Bootstrapping results revealed a dominant ICER for the intervention group. Although results were statistically nonsignificant, cost-effectiveness acceptability curves showed that at a EUR 0 willingness to pay threshold, there is a 96 percent probability that the intervention is cost-effective when compared with the control group. The sensitivity analyses generally supported the acceptable likelihood of the intervention being more cost-effective than the control group.

Conclusions

From a societal perspective, the implementation of Be a Mom among low-risk postpartum women could be a cost-effective way to improve perinatal mental health.

Type
Assessment
Copyright
© The Author(s), 2022. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Slomian, J, Honvo, G, Emonts, P, Reginster, JY, Bruyere, O (2019) Consequences of maternal postpartum depression: A systematic review of maternal and infant outcomes. Womens Health (Lond). 15, 1745506519844044.Google ScholarPubMed
Stein, A, Pearson, RM, Goodman, SH, et al (2014) Effects of perinatal mental disorders on the fetus and child. Lancet. 384, 18001819.CrossRefGoogle ScholarPubMed
Bauer, A., Parsonage, M., Knapp, M., Iemmi, V., & Adelaja, B. (2014). The costs of perinatal mental health problems. Center for Mental Health and London School of Economics. London, UK.Google Scholar
Dagher, RK, McGovern, PM, Dowd, BE, Gjerdingen, DK (2012) Postpartum depression and health services expenditures among employed women. J Occup Environ Med. 54, 210215.CrossRefGoogle ScholarPubMed
Petrou, S, Cooper, P, Murray, L, Davidson, LL (2002) Economic costs of post-natal depression in a high-risk British cohort. Br J Psychiatry. 181, 505512.CrossRefGoogle Scholar
Bauer, A, Knapp, M, Parsonage, M (2016) Lifetime costs of perinatal anxiety and depression. J Affect Disord. 192, 8390.CrossRefGoogle ScholarPubMed
Donohue, JM, Pincus, HA (2007) Reducing the societal burden of depression: A review of economic costs, quality of care and effects of treatment. Pharmacoeconomics. 25, 724.CrossRefGoogle ScholarPubMed
Lau, Y, Htun, TP, Wong, SN, Tam, WSW, Klainin-Yobas, P (2017) Therapist-supported internet-based cognitive behavior therapy for stress, anxiety, and depressive symptoms among postpartum women: A systematic review and meta-analysis. J Med Internet Res. 19, e138.CrossRefGoogle ScholarPubMed
Sockol, LE (2015) A systematic review of the efficacy of cognitive behavioral therapy for treating and preventing perinatal depression. J Affect Disord. 177, 721.CrossRefGoogle ScholarPubMed
Trompetter, HR, Lamers, SMA, Westerhof, GJ, Fledderus, M, Bohlmeijer, ET (2017) Both positive mental health and psychopathology should be monitored in psychotherapy: Confirmation for the dual-factor model in acceptance and commitment therapy. Behav Res Ther. 91, 5863.CrossRefGoogle ScholarPubMed
Iasiello, M, van Agteren, J, Cochrane, EM (2020) Mental health and/or mental illness: A scoping review of the evidence and implications of the dual-continua model of mental health. Evid Base. 2020, 145.CrossRefGoogle Scholar
Forsman, AK, Wahlbeck, K, Aaro, LE, et al (2015) Research priorities for public mental health in Europe: Recommendations of the ROAMER project. Eur J Public Health. 25, 249254.CrossRefGoogle ScholarPubMed
Meaney, MJ (2018) Perinatal maternal depressive symptoms as an issue for population health. Am J Psychiatry. 175, 10841093.Google ScholarPubMed
Barry, MM, Clarke, AM, Petersen, I, Jenkins, R (2019) Implementing mental health promotion. Cham: Springer International.CrossRefGoogle Scholar
Huppert, FA (2009) A new approach to reducing disorder and improving well-being. Perspect Psychol Sci. 4, 108111.CrossRefGoogle ScholarPubMed
Keyes, CL (2005) Mental illness and/or mental health? Investigating axioms of the complete state model of health. J Consult Clin Psychol. 73, 539548.CrossRefGoogle ScholarPubMed
Howell, RT, Kern, ML, Lyubomirsky, S (2007) Health benefits: Meta-analytically determining the impact of well-being on objective health outcomes. Health Psychol Rev. 1, 83136.Google Scholar
Keyes, CL, Simoes, EJ (2012) To flourish or not: Positive mental health and all-cause mortality. Am J Public Health. 102, 21642172.CrossRefGoogle ScholarPubMed
Phua, DY, Kee, M, Koh, DXP, et al (2017) Positive maternal mental health during pregnancy associated with specific forms of adaptive development in early childhood: Evidence from a longitudinal study. Dev Psychopathol. 29, 15731587.CrossRefGoogle ScholarPubMed
Gammer, I, Hartley-Jones, C, Jones, FW (2020) A randomized controlled trial of an online, compassion-based intervention for maternal psychological well-being in the first year postpartum. Mindfulness. 11, 928939.CrossRefGoogle Scholar
Monteiro, F, Pereira, M, Canavarro, MC, Fonseca, A (2020) Be a Mom’s efficacy in enhancing positive mental health among postpartum women presenting low risk for postpartum depression: Results from a pilot randomized trial. Int J Environ Res Public Health. 17, 4679.CrossRefGoogle ScholarPubMed
Fonseca, A, Gorayeb, R, Canavarro, MC (2015) Womens help-seeking behaviours for depressive symptoms during the perinatal period: Socio-demographic and clinical correlates and perceived barriers to seeking professional help. Midwifery. 31, 11771185.CrossRefGoogle ScholarPubMed
Dennis, CL, Chung-Lee, L (2006) Postpartum depression help-seeking barriers and maternal treatment preferences: A qualitative systematic review. Birth. 33, 323331.CrossRefGoogle ScholarPubMed
Donker, T, Blankers, M, Hedman, E, et al (2015) Economic evaluations of Internet interventions for mental health: A systematic review. Psychol Med. 45, 33573376.CrossRefGoogle ScholarPubMed
Wijnen, BF, Lokman, S, Leone, S, Evers, SM, Smit, F (2018) Complaint-directed mini-interventions for depressive symptoms: A health economic evaluation of unguided web-based self-help interventions based on a randomized controlled trial. J Med Internet Res. 20, e10455.CrossRefGoogle ScholarPubMed
Buntrock, C, Berking, M, Smit, F, et al (2017) Preventing depression in adults with subthreshold depression: Health-economic evaluation alongside a pragmatic randomized controlled trial of a web-based intervention. J Med Internet Res. 19, e5.CrossRefGoogle ScholarPubMed
Camacho, EM, Shields, GE (2018) Cost-effectiveness of interventions for perinatal anxiety and/or depression: A systematic review. BMJ Open. 8, e022022.CrossRefGoogle ScholarPubMed
Fonseca, A, Pereira, M, Araújo-Pedrosa, A, et al (2018) Be a mom: Formative evaluation of a web-based psychological intervention to prevent postpartum depression. Cogn Behav Pract. 25, 473495.CrossRefGoogle Scholar
Fonseca, A, Alves, S, Monteiro, F, Gorayeb, R, Canavarro, MC (2019) Be a mom, a web-based intervention to prevent postpartum depression: Results from a pilot randomized controlled trial. Behav Ther. 51, 616633.CrossRefGoogle ScholarPubMed
Husereau, D, Drummond, M, Petrou, S, et al (2013) Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement. Eur J Health Econ. 14, 367372.Google ScholarPubMed
Alves, S, Fonseca, A, Canavarro, MC, Pereira, M (2019) Predictive validity of the Postpartum Depression Predictors Inventory-Revised (PDPI-R): A longitudinal study with Portuguese women. Midwifery. 69, 113120.CrossRefGoogle ScholarPubMed
Estatística INd (2021) Índice de Preços no Consumidor [Consumer Price Index].Google Scholar
NICE (2013) Guide to the methods of technology appraisal. London: National Institute for Health and Care Excellence.Google Scholar
Bouwmans, C, De Jong, K, Timman, R, et al (2013) Feasibility, reliability and validity of a questionnaire on healthcare consumption and productivity loss in patients with a psychiatric disorder (TiC-P). BMC Health Serv Res. 13, 217.CrossRefGoogle Scholar
Bock, JO, Brettschneider, C, Seidl, H, et al (2015) Ermittlung standardisierter Bewertungssätze aus gesellschaftlicher Perspektive für die gesundheitsökonomische Evaluation. Gesundheitswesen. 77, 5361.Google Scholar
Tate, DF, Finkelstein, EA, Khavjou, O, Gustafson, A (2009) Cost effectiveness of internet interventions: Review and recommendations. Ann Behav Med. 38, 4045.CrossRefGoogle ScholarPubMed
Weinstein, MC, Torrance, G, McGuire, A (2009) QALYs: The basics. Value Health. 12, S5S9.CrossRefGoogle ScholarPubMed
EuroQol Group (1990) EuroQol – a new facility for the measurement of health-related quality of life. Health Policy. 16, 199208.CrossRefGoogle Scholar
Ferreira, LN, Ferreira, PL, Pereira, LN, Oppe, M. (2014) The valuation of the EQ-5D in Portugal. Qual Life Res. 23, 413423.CrossRefGoogle ScholarPubMed
Manca, A, Hawkins, N, Sculpher, MJ (2005) Estimating mean QALYs in trial-based cost-effectiveness analysis: The importance of controlling for baseline utility. Health Econ. 14, 487496.CrossRefGoogle ScholarPubMed
Hunter, RM, Baio, G, Butt, T, et al (2015) An educational review of the statistical issues in analysing utility data for cost-utility analysis. Pharmacoeconomics. 33, 355366.CrossRefGoogle ScholarPubMed
Briggs, AH, O’Brien, BJ (2001) The death of cost-minimization analysis? Health Econ. 10, 179184.CrossRefGoogle ScholarPubMed
Schulz, KF, Altman, DG, Moher, D, Group, C (2010) CONSORT 2010 statement: Updated guidelines for reporting parallel group randomised trials. BMJ. 340, c332.CrossRefGoogle ScholarPubMed
Madley-Dowd, P, Hughes, R, Tilling, K, Heron, J (2019) The proportion of missing data should not be used to guide decisions on multiple imputation. J Clin Epidemiol. 110, 6373.CrossRefGoogle Scholar
Gray, AM, Clarke, PM, Wolstenholme, JL, Wordsworth, S (2011) Applied methods of cost-effectiveness analysis in healthcare. Oxford: Oxford University Press.Google Scholar
Briggs, AH, Wonderling, DE, Mooney, CZ (1997) Pulling cost-effectiveness analysis up by its bootstraps: A non-parametric approach to confidence interval estimation. Health Econ. 6, 327340.3.0.CO;2-W>CrossRefGoogle ScholarPubMed
van Asselt, ADI, van Mastrigt, GAPG, Dirksen, CD, et al (2009) How to deal with cost differences at baseline. Pharmacoeconomics. 27, 519528.CrossRefGoogle ScholarPubMed
Kopec, JA, Willison, KD (2003) A comparative review of four preference-weighted measures of health-related quality of life. J Clin Epidemiol. 56, 317325.CrossRefGoogle ScholarPubMed
Brazier, J, Roberts, J, Tsuchiya, A, Busschbach, J (2004) A comparison of the EQ-5D and SF-6D across seven patient groups. Health Econ. 13, 873884.CrossRefGoogle ScholarPubMed
Zechmeister, I, Kilian, R, McDaid, D (2008) Is it worth investing in mental health promotion and prevention of mental illness? A systematic review of the evidence from economic evaluations. BMC Public Health. 8, 20.CrossRefGoogle ScholarPubMed
Touré, M, Kouakou, CRC, Poder, TG (2021) Dimensions used in instruments for QALY calculation: A systematic review. Int J Environ Res Public Health. 18, 4428.CrossRefGoogle ScholarPubMed
Lee, EW, Denison, FC, Hor, K, Reynolds, RM (2016) Web-based interventions for prevention and treatment of perinatal mood disorders: A systematic review. BMC Pregnancy Childbirth. 16, 38.CrossRefGoogle ScholarPubMed