Societal costs of untreated perinatal mood and anxiety disorders in Vermont.

PURPOSE: To estimate the societal costs of untreated perinatal mood and anxiety disorders (PMADs) in Vermont for the 2018-2020 average annual birth cohort from conception through five years postpartum. METHODS: We developed a cost analysis model to calculate the excess cases of outcomes attributed to PMADs in the state of Vermont. Then, we modeled the associated costs of each outcome incurred by birthing parents and their children, projected five years for birthing parents who do not achieve remission by the end of the first year postpartum. RESULTS: We estimated that the total societal cost of untreated PMADs in Vermont could reach $48 million for an annual birth cohort from conception to five years postpartum, amounting to $35,910 in excess societal costs per birthing parent with an untreated PMAD and their child. CONCLUSION: Our model provides evidence of the high costs of untreated PMADs for birthing parents and their children in Vermont. Our estimates for Vermont are slightly higher but comparable to national estimates, which are $35,500 per birthing parent-child pair, adjusted to 2021 US dollars. Investing in perinatal mental health prevention and treatment could improve health outcomes and reduce economic burden of PMADs on individuals, families, employers, and the state.

Decision tree-Markov model of perinatal depression screening: a cost-utility analysis.

Background: Perinatal depression affects the physical and mental health of pregnant women. It also has a negative effect on children, families, and society, and the incidence is high. We constructed a cost-utility analysis model for perinatal depression screening in China and evaluated the model from the perspective of health economics. Methods: We constructed a Markov model that was consistent with the screening strategy for perinatal depression in China, and two screening strategies (screening and non-screening) were constructed. Each strategy was set as a cycle of 3 months, corresponding to the first trimester, second trimester, third trimester, and postpartum. The state outcome parameters required for the model were obtained based on data from the National Prospective Cohort Study on the Mental Health of Chinese Pregnant Women from August 2015 to October 2016. The cost parameters were obtained from a field investigation on costs and screening effects conducted in maternal and child health care institutions in 2020. The cost-utility ratio and incremental cost-utility ratio of different screening strategies were obtained by multiplicative analysis to evaluate the health economic value of the two screening strategies. Finally, deterministic and probabilistic sensitivity analyses were conducted on the uncertain parameters in the model to explore the sensitivity factors that affected the selection of screening strategies. Results: The cost-utility analysis showed that the per capita cost of the screening strategy was 129.54 yuan, 0.85 quality-adjusted life years (QALYs) could be obtained, and the average cost per QALY gained was 152.17 yuan. In the non-screening (routine health care) group, the average cost was 171.80 CNY per person, 0.84 QALYs could be obtained, and the average cost per QALY gained was 205.05 CNY. Using one gross domestic product per capita in 2021 as the willingness to pay threshold, the incremental cost-utility ratio of screening versus no screening (routine health care) was about -3,126.77 yuan, which was lower than one gross domestic product per capita. Therefore, the screening strategy was more cost-effective than no screening (routine health care). Sensitivity analysis was performed by adjusting the parameters in the model, and the results were stable and consistent, which did not affect the choice of the optimal strategy. Conclusion: Compared with no screening (routine health care), the recommended perinatal depression screening strategy in China is cost-effective. In the future, it is necessary to continue to standardize screening and explore different screening modalities and tools suitable for specific regions.

Health economic evaluations of preventative care for perinatal anxiety and associated disorders: a rapid review.

OBJECTIVES: Perinatal mental health problems affect one in five women and cost the UK £8.1 billion for every year of births, with 72% of this cost due to the long-term impact on the child. We conducted a rapid review of health economic evaluations of preventative care for perinatal anxiety and associated disorders. DESIGN: This study adopted a rapid review approach, using principles of the standard systematic review process to generate quality evidence. This methodology features a systematic database search, Preferred Reporting Items for Systematic Reviews and Meta-Analyses diagram, screening of evidence, data extraction, critical appraisal and narrative synthesis. DATA SOURCES: PubMed, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Applied Social Sciences Index and Abstracts, PsycINFO and MEDLINE. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Studies that evaluated the costs and cost-effectiveness of preventative care for perinatal anxiety and associated disorders carried out within the National Health Service and similar healthcare systems. DATA EXTRACTION AND SYNTHESIS: A minimum of two independent reviewers used standardised methods to search, screen, critically appraise and synthesise included studies. RESULTS: The results indicate a lack of economic evaluation specifically for perinatal anxiety, with most studies focusing on postnatal depression (PND). Interventions to prevent postnatal mental health problems are cost-effective. Modelling studies have also been conducted, which suggest that treating PND with counselling would be cost-effective. CONCLUSION: The costs of not intervening in maternal mental health outweigh the costs of preventative interventions. Preventative measures such as screening and counselling for maternal mental health are shown to be cost-effective interventions to improve outcomes for women and children. PROSPERO REGISTRATION NUMBER: CRD42022347859.

Economic costs of perinatal depression and anxiety in a lower middle income country: Pakistan.

BACKGROUND: Women's mental health during the perinatal period is a major public health problem in Pakistan. Many challenges and competing priorities prevent progress to address the large treatment gap. Aim To quantify the long-term impacts of untreated perinatal depression and anxiety in economic terms, thus highlighting its overall burden based on country-specific evidence. METHODS: Cost estimates were generated for a hypothetical cohort of women giving birth in 2017, and their children. Women and children experiencing adverse events linked to perinatal mental health problems were modelled over 40 years. Costs assigned to adverse events included were those linked to losses in quantity and quality-of-life, productivity, and healthcare-related expenditure. Present values were derived using a discount rate of 3 %. Data were taken from published cohort studies, as well as from sources of population, economic and health indicators. RESULTS: The total costs were $16.5 billion for the cohort and $2680 per woman giving birth. The by far largest proportion referred to quality-of-life losses ($15.8 billion). Productivity losses and out-of-pocket expenditure made up only a small proportion of the costs, due to low wages and market prices. When the costs of maternal suicide were included, total costs increased to $16.6 billion. LIMITATIONS: Important evidence gaps prevented the inclusion of all cost consequences linked to perinatal mental health problems. CONCLUSIONS: Total national costs are much higher compared with those in other, higher middle-income countries, reflecting the excessive disease burden. This study is an important first step to inform resource allocations.

O impacto do baixo peso ao nascer relacionado à depressão gestacional para o financiamento federal da saúde pública: uma análise do Município de Pelotas, Rio Grande do Sul, Brasil / The impact of low birth weight related to gestational depression on Federal funding of public health: a study in Pelotas, Rio Grande do Sul State, Brazil

O baixo peso ao nascer está relacionado com morbimortalidade e sequelas no desenvolvimento infantil, impactando nos custos dos sistemas de saúde, por isso é importante avaliar fatores que o influenciam, estimando seu impacto no Sistema Único de Saúde (SUS). Este é um estudo prospectivo aninhado a uma coorte de gestantes que realizaram pré-natal e parto exclusivamente pelo SUS nos hospitais com UTI da cidade de Pelotas, Rio Grande do Sul, Brasil. Entre os resultados, concluiu-se que mães com episódios de depressão gestacional apresentam quase quatro vezes mais chances de ter um filho com baixo peso ao nascer (RP = 3,94; IC: 1,49-10,36). Valendo-se do cálculo da fração atribuível na população, estima-se que, na população geral, 36,17% dos bebês com baixo peso ao nascer são filhos de mães que tiveram episódio depressivo, estimando-se um custo que pode chegar a mais de R$ 76 milhões no Brasil. Sugere-se que se ampliem as ações preventivas e curativas para as gestantes na área da saúde mental, possibilitando melhor desfecho de saúde dos recém-nascidos, e que se utilizem adequadamente os recursos do SUS.

Low birth weight is related to morbidity and mortality and sequelae during infant development, thereby impacting health system costs. It is thus important to evaluate factors that influence low birth weight and to estimate their impact on the Brazilian Unified National Health System (SUS). This was a nested prospective study in a cohort of pregnant women who received prenatal care and gave birth in the National Health System in hospitals with ICUs in the city of Pelotas, Rio Grande do Sul State, Brazil. Gestational depression was associated with a fourfold risk of low birth weight (PR = 3.94; CI: 1.49-10.36). Based on the population-attributable fraction, in the overall population an estimated 36.17% of low birth weight infants are born to mothers with an episode of depression during pregnancy, with an estimated cost of more than R$76 million (U$38 million) in Brazil. The study recommends the expansion of preventive and therapeutic mental health care measures for pregnant women and the adequate use of resources in the Unified National Health System to improve neonatal outcomes.