Menu choice stated preference tasks to capture demand complementarity in health.

Health programs/services are often bundled, allowing for both substitution and complementarity. We adapt Discrete Choice Experiments to capture bundling, with application to a case study of exercise and nutrition; complementarity arises due to the goal of improving health. Our contributions are (1) to present a menu-based choice experiment to explore bundling; (2) to analyse the menu-based data using an extension of the choice set generation model (GenL) to account for correlations between bundles and component singles. A nationally representative sample of 333 Australians chose between a nutrition program only; exercise program only; both nutrition and exercise programs; or their status quo. Overall, we show that by incorporating the menu choice task and introducing the combined alternative, we capture a significant portion of the population seeking both exercise and nutrition components. We estimate a latent class GenL model, and identify two latent classes: Class 1 preferred to choose programs on offer, and Class 2 was more price sensitive and had a stronger preference for staying with their status quo. We show in the post-estimation analysis that heterogeneity in preferences translates into heterogeneity in the way alternatives are bundled, indicating that the combined offering is appealing to specific classes of individuals who prefer bundling. By implementing the menu choice task, researchers and policymakers can effectively identify, cater to and influence the demand for combined exercise and nutrition options, leading to more targeted and impactful interventions in promoting healthier lifestyle choices.

Retrospective analysis of the impact of electronic medical record alerts on low value care in a pediatric hospital.

OBJECTIVES: Hospital costs continue to rise unsustainably. Up to 20% of care is wasteful including low value care (LVC). This study aimed to understand whether electronic medical record (EMR) alerts are effective at reducing pediatric LVC and measure the impact on hospital costs. MATERIALS AND METHODS: Using EMR data over a 76-month period, we evaluated changes in 4 LVC practices following the implementation of EMR alerts, using time series analysis to control for underlying time-based trends, in a large pediatric hospital in Australia. The main outcome measure was the change in rate of each LVC practice. Balancing measures included the rate of alert adherence as a proxy measure for risk of alert fatigue. Hospital costs were calculated by the volume of LVC avoided multiplied by the unit costs. Costs of the intervention were calculated from clinician and analyst time required. RESULTS: All 4 LVC practices showed a statistically significant reduction following alert implementation. Two LVC practices (blood tests) showed an abrupt change, associated with high rates of alert adherence. The other 2 LVC practices (bronchodilator use in bronchiolitis and electrocardiogram ordering for sleeping bradycardia) showed an accelerated rate of improvement compared to baseline trends with lower rates of alert adherence. Hospital savings were $325 to $180 000 per alert. DISCUSSION AND CONCLUSION: EMR alerts are effective in reducing pediatric LVC practices and offer a cost-saving opportunity to the hospital. Further efforts to leverage EMR alerts in pediatric settings to reduce LVC are likely to support future sustainable healthcare delivery.

Will a fee-for-service payment for a young people's health assessment in general practice increase the detection of health risk behaviours and health conditions? Protocol for a cluster randomised controlled trial (RAd Health Trial).

INTRODUCTION: Adolescence is a period of major transition in physical, cognitive, social and emotional development, and the peak time for the onset of mental health conditions, substance use disorders and sexual and reproductive health risks. Prevention and treatment during this time can improve health and well-being now and into the future. However, despite clinical guidelines recommending annual preventive health assessments for young people, health professionals cite lack of consultation time and adequate funding as key barriers. This trial aims to determine whether a specific fee-for-service ('rebate payment') for a young person's health assessment, is effective and cost-effective at increasing the detection and management of health risk behaviours and conditions among young people. METHODS AND ANALYSIS: This cluster randomised controlled trial will be conducted in Australian general practice. 42 general practices (clusters) will be randomly allocated 1:1 to either an intervention arm where general practitioners receive a rebate payment for each annual health assessment undertaken for 14-24-year-olds during a 2 year study period, or a control arm (no rebate). The rebate amount will be based on the Medical Benefits Schedule (Australia's list of health professional services subsidised by the Australian Government) currently available for similar age-based assessments. Our primary outcome will be the annual rate of risk behaviours and health conditions recorded in the patient electronic health record (eg, alcohol/drug use, sexual activity and mental health issues). Secondary outcomes include the annual rate of patient management activities related to health risks and conditions identified (eg, contraception prescribed, sexually transmitted infection tests ordered). A process evaluation will assess acceptability, adoption, fidelity and sustainability of the rebate; an economic evaluation will assess its cost-effectiveness. Analyses will be intention-to-treat. ETHICS AND DISSEMINATION: Ethics approval has been obtained from University of Melbourne Human and Research Ethics Committee (2022-23435-29990-3). Findings will be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: ACTRN12622000114741.

The role of mental health in online gambling decisions: A discrete choice experiment.

People with mental health problems are more likely to experience problems due to gambling, an intersection of two sources of social disadvantage. However, the mechanisms by which this occurs remain unclear. Analysing if choices while gambling differ for people with mental health problems, and whether these differences involve characteristics linked with gambling harms, can improve this understanding. Evidence on this is limited because most studies rely on survey questions or aggregate data which are either self-reported, unlikely to allow for identification of separate features of gambling options, or do not observe the full set of options people are choosing between. Discrete Choice Experiments can circumvent these issues by observing the gambling environment and individual's gambling choices. This study uses a Discrete Choice Experiment to analyse people's choices while gambling, and if these differ for people with mental health problems. Participants were offered a series of 6 choice sets representing online gambling on horse racing; each presented two hypothetical horse races, both with eight horses, differing in the information they provided. Participants chose which race (if any) and horse they would bet on. The choices were modelled using mixed logit models. People with mental health problems had (i) a lower preference for betting on races with information about horses' recent form and (ii) preferred betting on horses with higher odds. (i) Could indicate that they put less thought into their bet, a sign of gambling as an escape. (ii) Could indicate that they are more risk seeking. These are two gambling characteristics linked with problems due to gambling and are plausible mechanisms by which people with mental health problems may be more likely to develop problems due to gambling.

Impact of prevention in primary care on costs in primary and secondary care for people with serious mental illness.

A largely unexplored part of the financial incentive for physicians to participate in preventive care is the degree to which they are the residual claimant from any resulting cost savings. We examine the impact of two preventive activities for people with serious mental illness (care plans and annual reviews of physical health) by English primary care practices on costs in these practices and in secondary care. Using panel two-part models to analyze patient-level data linked across primary and secondary care, we find that these preventive activities in the previous year are associated with cost reductions in the current quarter both in primary and secondary care. We estimate that there are large beneficial externalities for which the primary care physician is not the residual claimant: the cost savings in secondary care are 4.7 times larger than the cost savings in primary care. These activities are incentivized in the English National Health Service but the total financial incentives for primary care physicians to participate were considerably smaller than the total cost savings produced. This suggests that changes to the design of incentives to increase the marginal reward for conducting these preventive activities among patients with serious mental illness could have further increased welfare.

Preferences of parents for mental health services to suit children with chronic medical conditions.

Objectives To identify features of mental health services that affect the uptake of services among parents of children with chronic medical conditions, to inform the design of pathways into mental health care. Methods A discrete choice experiment in which participants made choices between hypothetical mental health services described in terms of service features: cost, wait time, provider knowledge of chronic medical conditions, recommendations, opening hours, and travel time. Participants were parents of children attending The Royal Children's Hospital outpatient clinics for the management of a chronic medical condition who completed the online survey between August 2020 and January 2021. The uptake of mental health services with differing features was predicted based on regression models examining the relationship between choice and service features, and accounting for participant characteristics and unobserved heterogeneity. Results The sample comprised 112 parents, of whom 52% reported unmet needs. The most influential service features were wait times, cost, recommendation from medical specialists, and mental health provider knowledge of chronic medical conditions. Predicted uptake of a realistic service showed inequalities across income, parental education, and single parent status. A service comprising preferred features was predicted to eliminate these inequalities. Conclusions Reducing cost and wait time for mental health services could reduce unmet need among children with chronic medical conditions. Specific approaches to tackle the high levels of unmet needs in this group include equipping medical specialists to recommend mental health providers and training mental health providers on the impacts of chronic medical conditions on children. Offering preferred services could increase uptake and reduce inequalities in mental health care.

Two for the price of one: If moving beyond traditional single-best discrete choice experiments, should we use best-worst, best-best or ranking for preference elicitation?

This study undertook a head-to-head comparison of best-worst, best-best and ranking discrete choice experiments (DCEs) to help decide which method to use if moving beyond traditional single-best DCEs. Respondents were randomized to one of three preference elicitation methods. Rank-ordered (exploded) mixed logit models and respondent-reported data were used to compare methods and first and second choices. First choices differed from second choices and preferences differed between elicitation methods, even beyond scale and scale dynamics. First choices of best-worst had good choice consistency, scale dynamics and statistical efficiency, but this method's second choices performed worst. Ranking performed best on respondent-reported difficulty and preference; best-best's second choices on statistical efficiency. All three preference elicitation methods improve efficiency of data collection relative to using first choices only. However, differences in preferences between first and second choices challenge moving beyond single-best DCE. If nevertheless doing so, best-best and ranking are preferred over best-worst DCE.

An Economic Model of Gambling Behaviour: A Two-Stage Approach.

Gambling can cause significant harms and these can result in a net negative utility from participation, although lower levels of participation have potential benefits and can yield positive net utility. It is therefore important to understand and distinguish between these two stages of gambling behaviour. Currently, economic models have had limited focus on explaining why someone would gamble despite it yielding a negative utility. Here, we present a two-stage model, motivated by empirical literature and intuitive assumptions, that improves on existing economic models by distinguishing between the likelihood of gambling participation and of gambling that yields a negative utility. The model's predictions are empirically testable, consistent with existing literature, and add new insights. The model's ability to distinguish between the two stages helps to inform interventions that aim to reduce the prevalence of gambling-related harm while avoiding the need for restrictive approaches that aim to eliminate gambling altogether.

Primary care consumers’ experiences and opinions of a telehealth consultation delivered via video during the COVID-19 pandemic.

This study examined consumers' experiences and opinions of a videoconference with a primary healthcare professional, and estimated the value of travel and time savings for consumers compared with face-to-face consultations. The online survey was conducted in Melbourne, Australia, between October 2020 and May 2021. The sample (n = 499) was highly educated (Bachelor degree or higher, 79%; 393/499), predominately female (70%; 347/499), mainly spoke English at home (78%; 390/499) and had a mean age of 31.8 years (s.d. 11.40). Reduced travel time (27%; 271/499) and avoiding exposure to COVID-19 (23%; 228/499) were the main reasons consumers chose a videoconference. Mental health and behavioural issues were the main reason for the consultation (38%; 241/499) and 69% (346/499) of consultations were with a general practitioner. Perceptions of the quality of care were uniformly high, with 84% (419/499) of respondents believing videoconference was equivalent to a face-to-face consultation. No association was found between reporting that telehealth was equivalent to a face-to-face consultation and education, language, health status, reason for consultation or provider type. The average time saved per consultation was 1 h and 39 min, and the average transport-related saving was A$14.29. High rates of acceptance and substantial cost savings observed in this study warrant further investigation to inform the longer-term role of videoconferences, and telehealth more broadly, in the Australian primary care system.

Costing of an Australian general practice COVID-19 drive-through testing and respiratory clinic.

BACKGROUND: Responding to the COVID-19 pandemic requires safe and efficient testing on a large scale over a prolonged period. Outpatient testing facilities can clinically assess and test symptomatic individuals and test asymptomatic contacts. This study identified the resources required to establish and maintain an Australian general practitioner (GP) led testing facility that combined a respiratory clinic for clinical assessment and testing with a drive-through testing facility. METHODS: Data were taken from clinic administrative records to identify the number of patients tested over the period April-June 2020. An independent auditor's report identified the resources used in establishing, running, and staffing both clinics for the same period. Analyses were performed using the minimum and maximum daily throughput to understand the effect of demand on price per sample collected. RESULTS: The respiratory clinic tested an average of 19 patients per day, at an estimated cost of $340.04 AUD. This varied to $687.99 AUD during the lowest demand scenario, and $281.04 AUD during the high demand scenario. The drive-through clinic tested an average of 47 patients per day, at an estimated cost of $153.57 AUD. This varied to $279.51 AUD during the lowest demand scenario, and $99.92 AUD during the high demand scenario. CONCLUSION: This study provides insight into the cost of testing at a drive through and respiratory clinic in Australia. The evidence highlights importance of considering variation in demand and the impact on efficiency, particularly where resource use is fixed in the short term.

Working out dads (WOD): a study protocol for a randomised controlled trial of a group-based peer support intervention for men experiencing mental health difficulties in early fatherhood.

BACKGROUND: Approximately one in ten men experience mental health difficulties during the early years of fatherhood, and these can have negative impacts on children and families. However, few evidence-based interventions targeting fathers' mental health are available. The aim of the trial is to evaluate the effectiveness and cost-effectiveness of Working Out Dads (WOD) - a facilitated peer support group intervention for fathers of young children, in reducing psychological distress and other mental health symptoms. METHODS: This trial will employ a parallel-arm randomised controlled trial (RCT) to evaluate the effectiveness and cost effectiveness of WOD peer support group intervention compared to usual care (a 30-min mental health and service focused phone consultation with a health professional). A total of 280 fathers of young children (aged 0-4 years) who are experiencing mental health difficulties and/or are at risk of poor mental health will be recruited. Randomisation and analyses will be at the level of the individual participant. The primary outcome is psychological distress symptoms, measured by the Kessler Psychological Distress Scale (K10) from baseline to 24 weeks post randomisation. A range of secondary outcomes will be assessed including suicidal ideation; mental health disorders, specific symptoms of depression, anxiety, and stress; social support, quality of life, health service use, and health care costs. Data will be collected at baseline, 10- and 24 weeks post-randomisation. DISCUSSION: This trial will examine the effectiveness of a novel group-based peer support intervention in reducing the psychological distress and other mental health symptoms of fathers compared to usual care. The economic and process evaluation will guide policy decision making along with informing the future implementation of WOD on a larger scale if effectiveness is demonstrated. TRIAL REGISTRATION: The current trial has been registered with ClinicalTrials.gov (Registration ID - NCT04813042 ). Date of Registration: March 22nd, 2021.

Mental healthcare for children with chronic conditions: a qualitative study.

OBJECTIVE: To explore parent perspectives on accessing mental healthcare for children with a chronic physical health condition. DESIGN: Qualitative research using semistructured interviews and Framework Analysis. Rankings were used to select attributes for a Discrete Choice Experiment (DCE). SETTING: Four specialty outpatient clinics (diabetes, epilepsy, bronchiectasis unrelated to cystic fibrosis and epidermolysis bullosa) at an Australian tertiary paediatric hospital. PARTICIPANTS: Eighteen parents of children with a chronical physical health condition. RESULTS: Most parents identified the child's general practitioner and/or hospital team as an initial pathway to seek help if they were worried about their child's mental health. Parents see mental healthcare as part of care for the whole child and want the outpatient clinics to proactively discuss child and family mental health, as well as refer to appropriate services as needed. The hospital being a familiar, child-friendly environment was identified as a key reason the hospital might be a desired place to access mental healthcare, as previous research has found. Six attributes of mental health services were identified as important and will be included in an upcoming DCE: travel time, cost, wait time, available hours, knowledge of physical health condition, and recommendation. CONCLUSIONS: This study highlights the opportunity presented in specialist outpatient clinics to address the often unmet mental healthcare needs of children with chronic physical health conditions. Parents identified practical ways for outpatient clinics to better facilitate access to mental healthcare. These will be further explored through a quantitative study of parent preferences.

Social acceptability of standard and behavioral economic inspired policies designed to reduce and prevent obesity.

The obesity epidemic is a significant public policy issue facing the international community, resulting in substantial costs to individuals and society. Various policies have been suggested to reduce and prevent obesity, including those informed by standard economics (a key feature of which is the assumption that individuals are rational) and behavioral economics (which identifies and harness deviations from rationality). It is not known which policy interventions taxpayers find acceptable and would prefer to fund via taxation. We provide evidence from a discrete choice experiment on an Australian sample of 996 individuals to investigate social acceptability of eight policies: mass media campaign; traffic light nutritional labeling; taxing sugar sweetened beverages; prepaid cards to purchase healthy food; financial incentives to exercise; improved built environment for physical activity; bans on advertising unhealthy food and drink to children; and improved nutritional quality of food sold in public institutions. Latent class analysis revealed three classes differing in preferences and key respondent characteristics including capacity to benefit. Social acceptability of the eight policies at realistic levels of tax increases was explored using post-estimation analysis. Overall, 78% of the sample were predicted to choose a new policy, varying from 99% in those most likely to benefit from obesity interventions to 19% of those least likely to benefit. A policy informed by standard economics, traffic light labeling was the most popular policy, followed by policies involving regulation: bans on junk food advertising to children and improvement of food quality in public institutions. The least popular policies were behaviorally informed: prepaid cards for the purchase of only healthy foods, and financial incentives to exercise.

Antipsychotic choice: understanding shared decision-making among doctors and patients.

BACKGROUND: In deciding pharmacotherapy treatment, doctors have to balance the risks and benefits of treatment, and their preferences may not always align with patient preferences. AIM: A pilot study to explore decision-making regarding treatment with antipsychotic medications among doctors and patients. METHODS: A discrete choice experiment (DCE), comprised of systematically structured choice tasks, in which doctors and patients were asked to trade off between attributes of antipsychotic medications, each described in terms of mode of administration, effectiveness (on positive and negative symptoms) and side effect profiles. Participants also ranked different factors that they consider important when choosing an antipsychotic medication. RESULTS: 52 doctors and 49 patients completed the survey. Doctors accepted a higher risk of side effects than patients if it achieved better efficacy. Patients perceived long-acting injectables (LAIs) to be easier than taking tablets every day. Issues of embarrassment, pain and fear of needles were not rated as highly by patients, as anticipated by doctors. CONCLUSIONS: Doctors and patients demonstrated differences in decision-making about treatment with antipsychotic medications. Addressing these issues could facilitate shared decision-making, with the goal of improving patient adherence to antipsychotic medications, and thereby improve patient outcomes.

Is 'minimally adequate treatment' really adequate? investigating the effect of mental health treatment on quality of life for children with mental health problems.

BACKGROUND: Minimally adequate treatment (MAT) is intended to represent treatment minimally sufficient for common mental health problems. For children, MAT has been defined over a twelve-month period as either eight or more mental health visits, or four to seven visits plus relevant medication. MAT is used to identify those missing out on adequate care, but it is unknown whether MAT improves children's outcomes. METHODS: This paper examines whether MAT is associated with improved outcomes for children. It uses survey data from the nationally representative Longitudinal Study of Australian children on 596 children with mental health problems based on the Strengths and Difficulties Questionnaire at ages 8-15 years, linked to health service administrative data from 2012 to 2016. Statistical analysis examines the association of MAT with later quality of life (Pediatric Quality of Life Inventory), using a lagged dependent variable model to account for time-varying unobserved confounding. RESULTS: Compared to children with lower levels of treatment, those who received MAT between baseline and follow up had no statistically significant improvement in either quality of life or mental health symptoms. LIMITATIONS: The observational data provide insight into real-world practice but require statistical methods to account for selection into treatment. CONCLUSIONS: While clinical trials show mental health treatments can be efficacious, this study shows no evidence that children receiving MAT in routine practice have better outcomes. These findings demonstrate the need for better understanding of the nature and impact of children's mental health care as it is delivered and received in routine practice.

Healthcare Costs for People with Serious Mental Illness in England: An Analysis of Costs Across Primary Care, Hospital Care, and Specialist Mental Healthcare.

BACKGROUND: Serious mental illness (SMI) is a set of disabling conditions associated with poor outcomes and high healthcare utilisation. However, little is known about patterns of utilisation and costs across sectors for people with SMI. OBJECTIVE: The aim was to develop a costing methodology and estimate annual healthcare costs for people with SMI in England across primary and secondary care settings. METHODS: A retrospective observational cohort study was conducted using linked administrative records from primary care, emergency departments, inpatient admissions, and community mental health services, covering financial years 2011/12-2013/14. Costs were calculated using bottom-up costing and are expressed in 2013/14 British pounds (GBP). Determinants of annual costs by sector were estimated using generalised linear models. RESULTS: Mean annual total healthcare costs for 13,846 adults with SMI were £4989 (median £1208), comprising 19% from primary care (£938, median £531), 34% from general hospital care (£1717, median £0), and 47% from inpatient and community-based specialist mental health services (£2334, median £0). Mean annual costs related specifically to mental health, as distinct from physical health, were £2576 (median £290). Key predictors of total cost included physical comorbidities, ethnicity, neighbourhood deprivation, SMI diagnostic subgroup, and age. Some associations varied across care context; for example, older age was associated with higher primary care and hospital costs, but lower mental healthcare costs. CONCLUSIONS: Annual healthcare costs for people with SMI vary significantly across clinical and socioeconomic characteristics and healthcare sectors. This analysis informs policy and research, including estimation of health budgets for particular patient profiles, and economic evaluation of health services and policies.

Impact of family practice continuity of care on unplanned hospital use for people with serious mental illness.

OBJECTIVE: To investigate whether continuity of care in family practice reduces unplanned hospital use for people with serious mental illness (SMI). DATA SOURCES: Linked administrative data on family practice and hospital utilization by people with SMI in England, 2007-2014. STUDY DESIGN: This observational cohort study used discrete-time survival analysis to investigate the relationship between continuity of care in family practice and unplanned hospital use: emergency department (ED) presentations, and unplanned admissions for SMI and ambulatory care-sensitive conditions (ACSC). The analysis distinguishes between relational continuity and management/ informational continuity (as captured by care plans) and accounts for unobserved confounding by examining deviation from long-term averages. DATA COLLECTION/EXTRACTION METHODS: Individual-level family practice administrative data linked to hospital administrative data. PRINCIPAL FINDINGS: Higher relational continuity was associated with 8-11 percent lower risk of ED presentation and 23-27 percent lower risk of ACSC admissions. Care plans were associated with 29 percent lower risk of ED presentation, 39 percent lower risk of SMI admissions, and 32 percent lower risk of ACSC admissions. CONCLUSIONS: Family practice continuity of care can reduce unplanned hospital use for physical and mental health of people with SMI.

Association Between Antipsychotic Polypharmacy and Outcomes for People With Serious Mental Illness in England.

OBJECTIVE: Although U.K. and international guidelines recommend monotherapy, antipsychotic polypharmacy among patients with serious mental illness is common in clinical practice. However, empirical evidence on its effectiveness is scarce. Therefore, the authors estimated the effectiveness of antipsychotic polypharmacy relative to monotherapy in terms of health care utilization and mortality. METHODS: Primary care data from Clinical Practice Research Datalink, hospital data from Hospital Episode Statistics, and mortality data from the Office of National Statistics were linked to compile a cohort of patients with serious mental illness in England from 2000 to 2014. The antipsychotic prescribing profile of 17,255 adults who had at least one antipsychotic drug record during the period of observation was constructed from primary care medication records. Survival analysis models were estimated to identify the effect of antipsychotic polypharmacy on the time to first occurrence of each of three outcomes: unplanned hospital admissions (all cause), emergency department (ED) visits, and mortality. RESULTS: Relative to monotherapy, antipsychotic polypharmacy was not associated with increased risk of unplanned hospital admission (hazard ratio [HR]=1.14; 95% confidence interval [CI]=0.98-1.32), ED visit (HR=0.95; 95% CI=0.80-1.14), or death (HR=1.02; 95% CI=0.76-1.37). Relative to not receiving antipsychotic medication, monotherapy was associated with a reduced hazard of unplanned admissions to the hospital and ED visits, but it had no effect on mortality. CONCLUSIONS: The study results support current guidelines for antipsychotic monotherapy in routine clinical practice. However, they also suggest that when clinicians have deemed antipsychotic polypharmacy necessary, health care utilization and mortality are not affected.

Is socioeconomic inequality in postnatal depression an early-life root of disadvantage for children?

This paper investigates the role that socioeconomic inequality in postnatal depression might play in intergenerational transmission of inequality. Infants' development is thought to be particularly sensitive to mothers' mental health at this time, suggesting that greater early-life exposure to maternal depression among disadvantaged groups might be a root of later socioeconomic inequalities. Heightened contact with health services during this period presents opportunities for intervention, but higher unmet need for treatment of postnatal depression among the disadvantaged might be widening inequalities. The aim of this study is to quantify the potential contribution of postnatal depression to socioeconomic inequalities in adverse childhood health and development outcomes. Regression-based decomposition of the concentration index is used to explore the association between income inequality in postnatal depressive symptoms and income inequality in children's outcomes. Four problems of early adolescence are explored: emotional and conduct problems, special educational needs, and low self-assessed health. Data are taken from the UK Millennium Cohort Study, with a sample of 4359 mothers and children with complete data on outcomes and covariates, and a second sample of 5441 when missing covariates are filled using multiple imputation. The key finding is that socioeconomic inequality in maternal postnatal depression is a significant contributor to inequalities in special educational needs, emotional problems, and low self-assessed health for children at age 11 years, even after accounting for a range of other factors that might explain such associations. These findings highlight the importance of understanding the impact of postnatal depression interventions on inequalities, and the downstream influence on children's outcomes. Addressing inequalities in mothers' postnatal depression might be an avenue for reducing early-life disadvantage for children.