Impact of COVID-19 pandemic on depression incidence and healthcare service use among patients with depression: an interrupted time-series analysis from a 9-year population-based study.

BACKGROUND: Most studies on the impact of the COVID-19 pandemic on depression burden focused on the earlier pandemic phase specific to lockdowns, but the longer-term impact of the pandemic is less well-studied. In this population-based cohort study, we examined the short-term and long-term impacts of COVID-19 on depression incidence and healthcare service use among patients with depression. METHODS: Using the territory-wide electronic medical records in Hong Kong, we identified all patients aged ≥ 10 years with new diagnoses of depression from 2014 to 2022. We performed an interrupted time-series (ITS) analysis to examine changes in incidence of medically attended depression before and during the pandemic. We then divided all patients into nine cohorts based on year of depression incidence and studied their initial and ongoing service use patterns until the end of 2022. We applied generalized linear modeling to compare the rates of healthcare service use in the year of diagnosis between patients newly diagnosed before and during the pandemic. A separate ITS analysis explored the pandemic impact on the ongoing service use among prevalent patients with depression. RESULTS: We found an immediate increase in depression incidence (RR = 1.21, 95% CI: 1.10-1.33, p < 0.001) in the population after the pandemic began with non-significant slope change, suggesting a sustained effect until the end of 2022. Subgroup analysis showed that the increases in incidence were significant among adults and the older population, but not adolescents. Depression patients newly diagnosed during the pandemic used 11% fewer resources than the pre-pandemic patients in the first diagnosis year. Pre-existing depression patients also had an immediate decrease of 16% in overall all-cause service use since the pandemic, with a positive slope change indicating a gradual rebound over a 3-year period. CONCLUSIONS: During the pandemic, service provision for depression was suboptimal in the face of increased demand generated by the increasing depression incidence during the COVID-19 pandemic. Our findings indicate the need to improve mental health resource planning preparedness for future public health crises.

Living Alone With Mild-to-Moderate Dementia Over a Two-Year Period: Longitudinal Findings From the IDEAL Cohort.

OBJECTIVES: To compare the experiences of people with dementia living alone or with others and how these may change over two years. DESIGN: We analysed longitudinal data from three assessment waves, one year apart, in the British IDEAL cohort. SETTING: Participants with mild-to-moderate dementia were recruited through National Health Service providers, where possible with a family caregiver, and interviewed at home. PARTICIPANTS: The current analyses include 281 people with dementia living alone and 1,244 living with others at baseline; follow-up data were available for 200 and 965 respectively at time 2 and 144 and 696 respectively at time 3. For those living alone, 140 nonresident caregivers contributed at baseline, 102 at time 2 and 81 at time 3. For those living with others, 1,127 family caregivers contributed at baseline, 876 at time 2 and 670 at time 3. MEASUREMENTS: Assessments covered: cognitive and functional ability; self-reported perceptions of health, mood, social engagement, quality of life, satisfaction with life and well-being; use of in-home and community care; and transitions into residential care. RESULTS: People living alone tended to have better cognitive and functional ability and were more frequent users of in-home care. However, they experienced poorer physical, social, and psychological health and reduced quality of life, satisfaction with life, and well-being. These differences persisted over time and rates of transition into residential care were higher. CONCLUSIONS: To facilitate continuing in place for people with dementia living alone, a dual focus on supporting functional ability and addressing psychosocial needs is essential in the context of an enabling policy framework.

Scaling-up an evidence-based intervention for family carers of people with dementia: Current and future costs and outcomes.

OBJECTIVES: The STrAtegies for RelaTives (START) intervention is effective and cost-effective in supporting family carers of people with dementia. It is currently not available to all eligible carers in England. What would be the impacts on service costs and carer health-related quality of life if START was provided to all eligible carers in England, currently and in future? METHODS: Effectiveness and cost-effectiveness data from a previously conducted randomised controlled trial were combined with current and future projections of numbers of people with newly diagnosed dementia to estimate overall and component costs and health-related quality of life outcomes between 2015 (base year for projections) and 2040. RESULTS: Scaling-up START requires investments increasing annually but would lead to significant savings in health and social care costs. Family carers of people with dementia would experience improvements in mental health and quality of life, with clinical effects lasting at least 6 years. Scaling up the START intervention to eligible carers was estimated to cost £9.4 million in 2020, but these costs would lead to annual savings of £68 million, and total annual quality-adjusted life year (QALY) gains of 1247. Although the costs of START would increase to £19.8 million in 2040, savings would rise to £142.7 million and Quality adjusted life years gained to 1883. CONCLUSIONS: Scaling-up START for family carers of people with dementia in England would improve the lives of family carers and reduce public sector costs. Family carers play a vital part in dementia care; evidence-based interventions that help them to maintain this role, such as START, should be available across the country.

The landscape of inequalities in dementia across Europe: First insights from the INTERDEM taskforce.

BACKGROUND: Getting a diagnosis of dementia does not equate to equitable access to care. People with dementia and unpaid carers face many barriers to care, which can vary within, and across, different countries and cultures. With little evidence across different countries, the aim of this scoping exercise was to identify the different and similar types of inequalities in dementia across Europe, and provide recommendations for addressing these. METHODS: We conducted a brief online survey with INTERDEM and INTERDEM Academy members across Europe, and with members of Alzheimer Europe's European Working Group of People with Dementia and Carers in February and March 2023. Members were asked about whether inequalities in dementia care existed within their country; if yes, to highlight three key inequalities. Responses on barriers were coded into groups, and frequencies of inequalities were calculated. Highlighted inequalities were discussed and prioritised at face-to-face and virtual consensus meetings in England, Ireland, Italy, and Poland, involving people with dementia, unpaid carers, health and social care providers, and non-profit organisations. RESULTS: Forty-nine academics, PhD students, people with dementia and unpaid carers from 10 countries (Belgium, Denmark, Germany, Greece, Ireland, Italy, Poland, Malta, Netherlands, UK) completed the survey. The most frequently identified inequalities focused on unawareness and lack of information, higher level system issues (i.e. lack of communication among care professionals), lack of service suitability, and stigma. Other barriers included workforce training and knowledge, financial costs, culture and language, lack of single-point-of-contact person, age, and living location/postcode lottery. There was general consensus among people living dementia and care providers of unawareness as a key barrier in different European countries, with varied priorities in Ireland depending on geographical location. CONCLUSIONS: These findings provide a first insight on dementia inequalities across Europe, generate cross-country learnings on how to address these inequalities in dementia, and can underpin further solution-focused research that informs policy and key decision makers to implement changes.

Digital technologies to prevent falls in people living with dementia or mild cognitive impairment: a rapid systematic overview of systematic reviews.

OBJECTIVE: Falls are a common cause of potentially preventable death, disability and loss of independence with an annual estimated cost of £4.4bn. People living with dementia (PlwD) or mild cognitive impairment (MCI) have an increased fall risk. This overview evaluates evidence for technologies aiming to reduce falls and fall risk for PlwD or MCI. METHODS: In October 2022, we searched five databases for evidence syntheses. We used standard methods to rapidly screen, extract data, assess risk of bias and overlap, and synthesise the evidence for each technology type. RESULTS: We included seven systematic reviews, incorporating 22 relevant primary studies with 1,412 unique participants. All reviews had critical flaws on AMSTAR-2: constituent primary studies were small, heterogeneous, mostly non-randomised and assessed as low or moderate quality. Technologies assessed were: wearable sensors, environmental sensor-based systems, exergaming, virtual reality systems. We found no evidence relating to apps. Review evidence for the direct impact on falls was available only from environmental sensors, and this was inconclusive. For wearables and virtual reality technologies there was evidence that technologies may differentiate PlwD who fell from those who did not; and for exergaming that balance may be improved. CONCLUSIONS: The evidence for technology to reduce falls and falls risk for PlwD and MCI is methodologically weak, based on small numbers of participants and often indirect. There is a need for higher-quality RCTs to provide robust evidence for effectiveness of fall prevention technologies. Such technologies should be designed with input from users and consideration of the wider implementation context.

Long-term impact of the COVID-19 pandemic on the quality of life of people with dementia and their family carers.

INTRODUCTION: Few studies have longitudinally mapped quality of life (QoL) trajectories of newly diagnosed people with dementia and their carers, particularly during coronavirus disease-2019 (COVID-19). METHODS: In a UK cohort study, 261 newly diagnosed people with dementia and 206 family carers were assessed prior to the pandemic (July 2019-March 2020), followed up after the first lockdown (July-October 2020) and then again a year and 2 years later. Latent growth curve modelling examined the level and change of QoL over the four time-points using dementia-specific QoL measures (DEMQOL and C-DEMQOL). RESULTS: Despite variations in individual change scores, our results suggest that generally people with dementia maintained their QoL during the pandemic and experienced some increase towards the end of the period. This contrasted with carers who reported a general deterioration in their QoL over the same period. 'Confidence in future' and 'Feeling supported' were the only carer QoL subscales to show some recovery post-pandemic. DISCUSSION: It is positive that even during a period of global disruption, decline in QoL is not inevitable following the onset of dementia. However, it is of concern that carer QoL declined during this same period even after COVID-19 restrictions had been lifted. Carers play an invaluable role in the lives of people with dementia and wider society, and our findings suggest that, post-pandemic, they may require greater support to maintain their QoL.

Health conditions in spousal caregivers of people with dementia and their relationships with stress, caregiving experiences, and social networks: longitudinal findings from the IDEAL programme.

OBJECTIVES: Longitudinal evidence documenting health conditions in spousal caregivers of people with dementia and whether these influence caregivers' outcomes is scarce. This study explores type and number of health conditions over two years in caregivers of people with dementia and subgroups based on age, sex, education, hours of care, informant-rated functional ability, neuropsychiatric symptoms, cognition of the person with dementia, and length of diagnosis in the person with dementia. It also explores whether over time the number of health conditions is associated with caregivers' stress, positive experiences of caregiving, and social networks METHODS: Longitudinal data from the IDEAL (Improving the experience of Dementia and Enhancing Active Life) cohort were used. Participants comprised spousal caregivers (n = 977) of people with dementia. Self-reported health conditions using the Charlson Comorbidity Index, stress, positive experiences of caregiving, and social network were assessed over two years. Mixed effect models were used RESULTS: On average participants had 1.5 health conditions at baseline; increasing to 2.1 conditions over two years. More health conditions were reported by caregivers who were older, had no formal education, provided 10 + hours of care per day, and/or cared for a person with more neuropsychiatric symptoms at baseline. More baseline health conditions were associated with greater stress at baseline but not with stress over time. Over two years, when caregivers' health conditions increased, their stress increased whereas their social network diminished DISCUSSION: Findings highlight that most caregivers have their own health problems which require management to avoid increased stress and shrinking of social networks.

Comorbid health conditions and their impact on social isolation, loneliness, quality of life, and well-being in people with dementia: longitudinal findings from the IDEAL programme.

BACKGROUND: Most people with dementia have multiple health conditions. This study explores (1) number and type of health condition(s) in people with dementia overall and in relation to age, sex, dementia type, and cognition; (2) change in number of health conditions over two years; and (3) whether over time the number of health conditions at baseline is related to social isolation, loneliness, quality of life, and/or well-being. METHODS: Longitudinal data from the IDEAL (Improving the experience of Dementia and Enhancing Active Life) cohort were used. Participants comprised people with dementia (n = 1490) living in the community (at baseline) in Great Britain. Health conditions using the Charlson Comorbidity Index, cognition, social isolation, loneliness, quality of life, and well-being were assessed over two years. Mixed effects modelling was used. RESULTS: On average participants had 1.8 health conditions at baseline, excluding dementia; increasing to 2.5 conditions over two years. Those with vascular dementia or mixed (Alzheimer's and vascular) dementia had more health conditions than those with Alzheimer's disease. People aged ≥ 80 had more health conditions than those aged < 65 years. At baseline having more health conditions was associated with increased loneliness, poorer quality of life, and poorer well-being, but was either minimally or not associated with cognition, sex, and social isolation. Number of health conditions had either minimal or no influence on these variables over time. CONCLUSIONS: People with dementia in IDEAL generally had multiple health conditions and those with more health conditions were lonelier, had poorer quality of life, and poorer well-being.

Costs and benefits of scaling psychosocial interventions during the perinatal period in England: A simulation modelling study.

BACKGROUND: Globally, guidance recommends the integration of mental health into maternal and child healthcare to address common maternal mental health problems during the perinatal period. However, implementing this in the real-world requires substantial resource allocations. OBJECTIVE: The aim of this study was to estimate the likely costs and consequences linked to scaling the delivery of treatment (in the form of psychosocial interventions) during the perinatal period. DESIGN: Simulation modelling. SETTING(S): England. METHODS: Costs and consequences were modelled for three scenarios of assumed provision of services, whereby one referred to the projected provision under current government plans, with no additional scaling up of treatment. The other two scenarios referred to additional scaling of treatment: in one scenario, this referred to the provision of treatment by midwives and health visitors trained in the routine enquiry about mental health and delivery of psychosocial interventions; in the other scenario this referred to an expanded provision by primary mental health services. For each scenario and in yearly intervals (covering a ten-year period, 2015 to 2024), unit cots and outcomes were assigned to the activities women were assumed to receive (routine enquiry, assessment, treatment, care coordination). All costs were in 2020 pounds sterling. Data sources for the modelling included: published findings from randomised controlled trials; national unit cost source; national statistics; and expert consultation. RESULTS: If the projected treatment gap was to be addressed, an estimated additional 111,154 (50,031) women would be accessing treatment in 2015 (2024). Estimated total costs (including cost offsets) in the scenario of projected provision under current government plans would be £73.5 million in 2015 and £95.2 million in 2024, whilst quality-adjusted life years gained would be 901 and 928 respectively. Addressing the treatment gap through provision by trained midwives and health visitors could mean additional costs of £7.3 million in 2015 but lower costs of £18.4 million in 2024. The additional quality-adjusted life years gained are estimated at 2096 in 2015 and 1418 in 2024. A scenario in which the treatment gap would be met by primary mental health services was likely to be more costly and delivered less health gains. CONCLUSIONS: Findings from this modelling study suggest that scaling the integration of mental health care into routinely delivered care for women during the perinatal period might be economically viable. REGISTRATION: N/A. TWEETABLE ABSTRACT: Integrating mental health into maternal and child healthcare might generate economic benefits new study by @a_annettemaria and @knappem @CPEC_LSE finds #increasing access to treatment for women with perinatal mental health problems.

Evaluating the association between receipt of a winter fuel cash transfer and older people's care needs, quality of life, and housing quality: Evidence from England.

BACKGROUND: Exposure to cold temperatures is known to be associated with deterioration of physical and mental health as well as poorer well-being in many countries. The Winter Fuel Payment, an unconditional direct cash transfer of value between £250-£300, was designed to help older people in England cover heating costs during the winter months, to counteract the particular vulnerability of older people to the effects of cold weather. AIMS: We evaluated the impact of the Winter Fuel Payment scheme on subsequent prevalence of care needs such as being unable to eat or shower independently, quality of life and the likelihood of having cold-related housing conditions. We also explored the potential effects of the Winter Fuel Payment across different sub-samples (poorer/richer individuals, those living in newer/older properties, and in the North/South of England) to explore whether its benefits (if any) are spread equally across the eligible population. DATA AND METHODS: We used a regression discontinuity design approach with age as running variable to analyse seven waves of a nationally representative sample, the English Longitudinal Study of Ageing, covering the period 2002/2003 to 2016/2017, and consisting of 24,651 observations. RESULTS: The Winter Fuel Payment had no overall effect on the outcomes of interest (care needs, quality of life, and cold-related housing problems). However, the Payment increased quality of life for poorer individuals, for those living in Northern regions of England, and for those living in newer dwellings. The likelihood of living in a property with at least one cold-related housing problem also decreased for those living in newer properties. CONCLUSIONS: Findings from this research provide important insights into the effectiveness of a winter cash transfer among the older population in England, and they are potentially relevant for other nations looking for strategies to deal with cold seasons and poorly insulated homes. In particular, this evaluation contributes to the 'universality versus targeting' policy debate and has implications for the development of energy-efficient policies.

Benefits of population-level interventions for dementia risk factors: an economic modelling study for England.

BACKGROUND: Individual-level interventions for dementia risk factors could reduce costs associated with dementia and some are cost-effective. We aimed to estimate the cost-effectiveness of population-level interventions for tackling dementia risk factors. METHODS: In this economic modelling study, we included recommended population-based interventions from a previously published review article for which there was consistent and robust evidence of effectiveness in tackling a dementia risk factor (tobacco smoking, excess alcohol use, hypertension, obesity, air pollution, and head injury). We only included interventions if they had not been introduced in England or were in place but could be extended. The interventions studied were increases in tobacco pricing, minimum pricing for alcohol, raising alcohol price, salt reduction policies, sugar reduction policies, low emission zones, and compulsory helmet use for cycling by children (aged 5-18 years). We used published intervention effect sizes and relative risks for each risk factor and a Markov model to estimate progression to dementia in populations with and without the intervention, looking at lifetime risk, in the population of England. FINDINGS: We estimated that reductions in excess alcohol use through minimum unit pricing would lead to cost-savings of £280 million and 4767 quality-adjusted life-years (QALYs) gained over an indefinite succession of age cohorts. Reformulation of food products to reduce salt would lead to cost-savings of £2·4 billion and 39 433 QALYs gained and reformulation to reduce sugar would lead to cost-savings of £1·046 billion and 17 985 QALYs gained. Reducing dementia risk from air pollution by introducing low emission zones in English cities with a population of 100 000 or more (that do not already impose restrictions) would lead to £260 million cost-savings and 5119 QALYs gained. Raising cigarette prices by 10% to reduce dementia risk from smoking would lead to 2277 QALYs gained and cost-savings of £157 million. Making bicycle helmets compulsory for children (aged 5-18 years) to reduce dementia risk from head injury would lead to cost-savings of £91 million and 1554 QALYs gained. INTERPRETATION: Population-level interventions could help tackle life course dementia risk and save costs. FUNDING: UK National Institute for Health and Care Research Three Schools dementia research programme.

DECIDE (Diverse experiences of End-of-Life Care for Dementia) establishing consensus and capacity for future research through collaboration and co-production.

BACKGROUND: Dementia is a leading cause of death globally. However, end-of-life care is often poor or non-existent. People with dementia from ethnic minorities or socioeconomically deprived communities are even less likely to receive good palliative care. Despite this, research into end-of-life care often fails to include people from these populations. AIM: To find out what research is required to improve end-of-life care for everyone with dementia and how to facilitate inclusivity. METHOD: A scoping review of the academic literature (Medline, CINAHL, EMBASE, PsycInfo and Scopus databases) published between Jan 2000 and April 2023 was conducted. Findings were shared with diverse key stakeholders through a series of workshops. Conclusions were subsequently used to provide evidence-based recommendations for inclusive end-of-life care and future research. RESULTS: Themes from the literature were evident in the personal and professional experiences of key stakeholders. Palliative care providers are often ignorant of the needs of those dying in the margins. Support services are scarce and unequal geographically. There is a lack of personalised and culturally appropriate care for those with dementia and their families. Themes from the stakeholder groups included a need for better communication between services, and more investment into dementia as a palliative condition, with avenues created to increase trust and facilitate engagement with services. CONCLUSION: Future research should focus on educational strategies, including how optimal end-of-life care differs for those with dementia compared to other life-limiting conditions, with appropriate models of inclusive, appropriately funded care needed.

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.

Exploring the return-on-investment for scaling screening and psychosocial treatment for women with common perinatal mental health problems in Malawi: Developing a cost-benefit-calculator tool.

This study sought to develop a user-friendly decision-making tool to explore country-specific estimates for costs and economic consequences of different options for scaling screening and psychosocial interventions for women with common perinatal mental health problems in Malawi. We developed a simple simulation model using a structure and parameter estimates that were established iteratively with experts, based on published trials, international databases and resources, statistical data, best practice guidance and intervention manuals. The model projects annual costs and returns to investment from 2022 to 2026. The study perspective is societal, including health expenditure and productivity losses. Outcomes in the form of health-related quality of life are measured in Disability Adjusted Life Years, which were converted into monetary values. Economic consequences include those that occur in the year in which the intervention takes place. Results suggest that the net benefit is relatively small at the beginning but increases over time as learning effects lead to a higher number of women being identified and receiving (cost­)effective treatment. For a scenario in which screening is first provided by health professionals (such as midwives) and a second screening and the intervention are provided by trained and supervised volunteers to equal proportions in group and individual sessions, as well as in clinic versus community setting, total costs in 2022 amount to US$ 0.66 million and health benefits to US$ 0.36 million. Costs increase to US$ 1.03 million and health benefits to US$ 0.93 million in 2026. Net benefits increase from US$ 35,000 in 2022 to US$ 0.52 million in 2026, and return-on-investment ratios from 1.05 to 1.45. Results from sensitivity analysis suggest that positive net benefit results are highly sensitive to an increase in staff salaries. This study demonstrates the feasibility of developing an economic decision-making tool that can be used by local policy makers and influencers to inform investments in maternal mental health.

Identifying dementia from cognitive footprints in hospital records among Chinese older adults: a machine-learning study.

Background: By combining theory-driven and data-driven methods, this study aimed to develop dementia predictive algorithms among Chinese older adults guided by the cognitive footprint theory. Methods: Electronic medical records from the Clinical Data Analysis and Reporting System in Hong Kong were employed. We included patients with dementia diagnosed at 65+ between 2010 and 2018, and 1:1 matched dementia-free controls. We identified 51 features, comprising exposures to established modifiable factors and other factors before and after 65 years old. The performances of four machine learning models, including LASSO, Multilayer perceptron (MLP), XGBoost, and LightGBM, were compared with logistic regression models, for all patients and subgroups by age. Findings: A total of 159,920 individuals (40.5% male; mean age [SD]: 83.97 [7.38]) were included. Compared with the model included established modifiable factors only (area under the curve [AUC] 0.689, 95% CI [0.684, 0.694]), the predictive accuracy substantially improved for models with all factors (0.774, [0.770, 0.778]). Machine learning and logistic regression models performed similarly, with AUC ranged between 0.773 (0.768, 0.777) for LASSO and 0.780 (0.776, 0.784) for MLP. Antipsychotics, education, antidepressants, head injury, and stroke were identified as the most important predictors in the total sample. Age-specific models identified different important features, with cardiovascular and infectious diseases becoming prominent in older ages. Interpretation: The models showed satisfactory performances in identifying dementia. These algorithms can be used in clinical practice to assist decision making and allow timely interventions cost-effectively. Funding: The Research Grants Council of Hong Kong under the Early Career Scheme 27110519.

Projecting the 10-year costs of care and mortality burden of depression until 2032: a Markov modelling study developed from real-world data.

Background: Based on real-world data, we developed a 10-year prediction model to estimate the burden among patients with depression from the public healthcare system payer's perspective to inform early resource planning in Hong Kong. Methods: We developed a Markov cohort model with yearly cycles specifically capturing the pathway of treatment-resistant depression (TRD) and comorbidity development along the disease course. Projected from 2023 to 2032, primary outcomes included costs of all-cause and psychiatric care, and secondary outcomes were all-cause deaths, years of life lived, and quality-adjusted life-years. Using the territory-wide electronic medical records, we identified 25,190 patients aged ≥10 years with newly diagnosed depression from 2014 to 2016 with follow-up until 2020 to observe the real-world time-to-event pattern, based on which costs and time-varying transition inputs were derived using negative binomial modelling and parametric survival analysis. We applied the model as both closed cohort, which studied a fixed cohort of incident patients in 2023, and open cohort, which introduced incident patients by year from 2014 to 2032. Utilities and annual new patients were from published sources. Findings: With 9217 new patients in 2023, our closed cohort model projected the 10-year cumulative costs of all-cause and psychiatric care to reach US$309.0 million and US$58.3 million, respectively, with 899 deaths (case fatality rate: 9.8%) by 2032. In our open cohort model, 55,849-57,896 active prevalent cases would cost more than US$322.3 million and US$60.7 million, respectively, with more than 943 deaths annually from 2023 to 2032. Fewer than 20% of cases would live with TRD or comorbidities but contribute 31-54% of the costs. The greatest collective burden would occur in women aged above 40, but men aged above 65 and below 25 with medical history would have the highest costs per patient-year. The key cost drivers were relevant to the early disease stages. Interpretation: A limited proportion of patients would develop TRD and comorbidities but contribute to a high proportion of costs, which necessitates appropriate attention and resource allocation. Our projection also demonstrates the application of real-world data to model long-term costs and mortality, which aid policymakers anticipate foreseeable burden and undertake budget planning to prepare for the care need in alternative scenarios. Funding: Research Impact Fund from the University Grants Committee, Research Grants Council with matching fund from the Hong Kong Association of Pharmaceutical Industry (R7007-22).

The local burden of emotional disorders. An analysis based on a large health survey in Catalonia (Spain)

Objective Mental health conditions are associated with a significant burden on individuals. Using data from a large population health survey, the present study aimed to quantify the burden of emotional disorders (depression and anxiety) on health-related quality of life (HRQoL) in the region of Catalonia (Spain) for evidence-informed policy making. Methods Regression models were used to estimate the impact of emotional disorders on HRQoL, controlling by socioeconomic factors and somatic health problems. The rate of emotional disorders was based on the General Health Questionnaire (GHQ-12) and quality of life scores were based on the EQ-5D.ResultsThe impact of emotional disorders on HRQoL was equal to a reduction of 0.17 in the EQ-5D score. Translation of this individual impact to population figures yielded a total loss of 78,742 quality-adjusted life years (QALYs) for 2006. This strong impact highlights the need for global policies aiming to reduce this burden. Conclusion The negative relation between emotional disorders and the HRQoL of individuals was confirmed and quantified for the population of Catalonia. The use of quality of life scales such as the SF or EQ-5D, combined with data on quasi-specific health conditions provides substantial information for prioritizing and planning health programs (AU)

Objetivo Los trastornos mentales suponen una importante carga sobre los individuos. A partir de los datos de una encuesta de salud poblacional, el presente estudio cuantifica la carga que suponen los trastornos emocionales (depresión y ansiedad) sobre la calidad de vida relacionada con la salud (CVRS) en Cataluña (España) para una política basada en evidencia informada. Método Se utilizó un modelo de regresión para evaluar el impacto de los trastornos depresivos y de ansiedad sobre la CVRS, controlando por factores socioeconómicos y por otras condiciones de salud. La prevalencia de los trastornos mentales se basó en el Cuestionario de Salud General (GHQ-12), y para obtener la valoración de la calidad de vida se empleó el cuestionario EQ-5D.ResultadosEl impacto de los trastornos emocionales en la CVRS equivale a una reducción de 0,17 en la puntuación del EQ-5D. Este impacto individual, cuando se traslada a cifras poblacionales, equivale a una pérdida de 78.742 años de vida ajustados por calidad para el año 2006. Esta importante cifra señala la necesidad de políticas globales que tengan como objetivo la reducción de esta carga. Conclusión Este estudio confirma y cuantifica para la población de Cataluña la relación negativa entre los trastornos emocionales y la CVRS. El empleo de escalas de calidad de vida, como el SF y el EQ-5D, combinadas con información sobre condiciones de salud, proporciona datos relevantes para la priorización y la planificación de programas sanitarios (AU)

Mental health III: funding mental health in Europe

This policy brief provides an overview of the level of funding for mental health in Europe. It looks at the way in which mental health care is financed, and how available funds are distributed within countries in order to facilitate access to a range of services, often provided across a number of sectors such as social care, housing, criminal justice and education. Barriers to increased funding for mental health and to the improved allocation of existing resources are discussed and solutions provided.