International Journal of Population Data Science最新文献

{"title":"The impact of COVID-19 pandemic on trends in the recorded incidence of Long-Term Conditions identified from routine electronic health records between 2000 and 2021 in Wales: a population data linkage study.","authors":"Cathy Qi, T. Osborne, R. Bailey, J. Hollinghurst, A. Akbari, A. Cooper, Ruth Crowder, H. Peters, R. Law, Anthony Davies, R. Lewis, Mark C Walker, Adrian Edwards, R. Lyons","doi":"10.23889/ijpds.v7i3.2011","DOIUrl":"https://doi.org/10.23889/ijpds.v7i3.2011","url":null,"abstract":"BackgroundThe COVID-19 pandemic has resulted in delayed diagnosis and treatment for cancer patients and increases in elective surgery waiting lists. The impact on other ‘long-term’ conditions (LTCs) is unclear. We examined the effects of the pandemic on the recorded incidence of 20 LTCs to inform decisions on treatment pathways and resource allocation. \u0000ApproachWe included Welsh residents diagnosed with any of 20 LTCs for the first time between 2000-2021. \u0000Data were accessed and analysed within the Secure Anonymised Information Linkage (SAIL) Databank. \u0000The primary aim was to assess the impact of the COVID-19 pandemic on trends in recorded incidence. Secondarily we examined incidence by socio-demographic and clinical subgroups: age, sex, deprivation quintile, ethnicity, frailty score and learning disability. \u0000Incidence were presented as monthly rates for each LTC. We performed interrupted time series analyses to estimate; the immediate and long-term change in rates following the pandemic; and the size of the undiagnosed population. \u0000ResultsWe included 2,206,070 individuals diagnosed with at least one LTC. \u0000An immediate reduction in recording of new diagnoses was observed in April 2020 across all 20 LTCs, followed by a gradual recovery towards pre-pandemic levels over the next 18 months, though at different rates across conditions. The largest difference between observed and expected (as predicted using pre-pandemic trends) incidence between January 2020 and June 2021 were in the diagnoses of COPD (-43%, 95% CI (-50%, -34%)), Asthma, Hypertension and Depression and the smallest difference was in Type 1 diabetes, dementia, stroke and TIA (-8%, 95% CI (-19% ,5%)). \u0000Differences in the proportions of incidence by socio-demographic and clinical subgroups in the years preceding and following the pandemic have also been analysed (results to be finalised). \u0000ConclusionThere was an abrupt reduction in the observed incidence of all 20 LTCs after March 2020 followed by a gradual recovery over consequent months towards pre-pandemic levels. Of 20 LTCs, 15 strongly indicate a reservoir of yet undiagnosed patients. The results from this study will have implications in resource allocation.","PeriodicalId":36483,"journal":{"name":"International Journal of Population Data Science","volume":"1977 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41262938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anti-asthmatic prescriptions in children with and without congenital anomalies: a European data linkage study.","authors":"Natalie Divin, E. Garne, J. Morris, M. Loane","doi":"10.23889/ijpds.v7i3.1889","DOIUrl":"https://doi.org/10.23889/ijpds.v7i3.1889","url":null,"abstract":"ObjectivesAsthma is the most common chronic disease in childhood, yet little is known about rates of asthma and wheezing in children with congenital anomalies. This study explored the prevalence and risk of receiving anti-asthmatic prescriptions in children with congenital anomalies compared to children without anomalies in six European regions/countries.\u0000ApproachThis was a EUROlinkCAT population-based linkage cohort study involving children from 0-9 years of age born between 2000-2014. Congenital anomaly data from six EUROCAT registries were linked to births data in national/vital statistics and to electronic prescription databases. Prescription/pharmacy dispensing records across regions were standardised to a Common Data Model. Anatomical Therapeutic Chemical classification codes beginning with R03 were used to identify anti-asthmatic prescriptions. Random-effects meta-analyses were performed to identify both the relative risk (RR) of receiving >1 anti-asthmatic prescription in a year relative to the reference group, and the heterogeneity of prevalence rates across registries and age group.\u0000ResultsA total of 5.1% of children with congenital anomalies and 4.9% of reference children were dropped from the study as they were not linked. Children with congenital anomalies (n=60,662) had a higher prevalence of >1 anti-asthmatic prescription and a significantly higher risk of being prescribed anti-asthmatics (RR=1.41, 95% CI 1.35-1.48) compared to reference children (n=1,722,912). The increased risk was consistent across all age groups. Children with congenital anomalies were more likely to be prescribed beta-2 agonists (RR=1.71, 95% CI 1.60-1.83) and inhaled corticosteroids (RR=1.74, 95% CI 1.61-1.87). Children with oesophageal atresia, diaphragmatic hernia, genetic syndromes and chromosomal anomalies had over twice the risk of being prescribed anti-asthmatics compared to reference children. Regional differences in prevalence and risk of anti-asthmatic prescriptions were identified.\u0000ConclusionChildren aged <10 years with congenital anomalies consistently had higher prevalence and risk of receiving >1 anti-asthmatic prescription across age group and across European regions. This study demonstrates that information on the prevalence of anti-asthmatic prescriptions issued/dispensed can be obtained through data linkage to monitor changes in prevalence over time.","PeriodicalId":36483,"journal":{"name":"International Journal of Population Data Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44544631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility of evaluating COVID-19 vaccine effectiveness and variant severity through a routine health information exchange.","authors":"A. Boulle, A. Heekes, H. Hussey, Reshna Kassanjee, M. Davies","doi":"10.23889/ijpds.v7i3.2066","DOIUrl":"https://doi.org/10.23889/ijpds.v7i3.2066","url":null,"abstract":"ObjectivesTo date South Africa has experienced four distinct COVID-19 waves due to ancestral, Beta, Delta and Omnicron SARS-CoV-2 variants. We sought to answer pertinent public health questions in a timely manner as new COVID-19 variants emerge(d) using routine health service data linked through a service-facing health information exchange (HIE). \u0000ApproachA population cohort was defined amongst regular health service users in the Western Cape Province of South Africa based on recent utilisation of public sector services as reflected in the Provincial Health Data Centre (PHDC) which functions as a HIE.  Infection, hospitalisation and mortality data were derived from routinely linked laboratory, service and national vital registration data sources.  Serology done on residual specimens of patients monitored for HIV and diabetes treatment progress were linked to the PHDC, as were vaccination data from the national vaccination information system.  A single linked and de-identified dataset was exported for analysis purposes. \u0000ResultsBased on accessing services in the preceding 3 years, a cohort of 3.5 million adult patients could be enumerated and linked to co-morbidity and SARS-CoV-2 outcome data. Serology from 16,000 specimens spread across the three inter-wave periods, and vaccine data from amongst the 5 million vaccine doses given in the Province, could also be linked.  Variants could be identified by wave or by PCR assay target anomalies during cross-over periods. Publishable variant severity analyses were feasible from the sub-cohort of patients with diagnosed COVID-19, and variant-specific vaccine effectiveness was assessible amongst cases, in the population cohort, and in patients with HIV.  The impact of prior infection and marginal value of vaccination in those with prior infection was assessible within the serology sub-cohort. \u0000ConclusionA single linked de-identified dataset derived from an operational HIE was able to quickly address critical public health questions related to COVID-19 variants in a privacy-preserving manner.","PeriodicalId":36483,"journal":{"name":"International Journal of Population Data Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42492628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Policy Impact Case Study Using Real World Data from Welsh Government Fuel Poverty Schemes to Inform Scheme Design.","authors":"Sarah E. Lowe, S. Morrison-Rees","doi":"10.23889/ijpds.v7i3.1894","DOIUrl":"https://doi.org/10.23889/ijpds.v7i3.1894","url":null,"abstract":"ObjectivesTo reduce fuel poverty in Wales: the Welsh Government developed schemes to provide energy efficiency improvements to lower income households. \u0000To inform scheme design: investigate health impacts by linking scheme data to health records. \u0000Presented objective: to demonstrate how research findings using real world data can impact policy focus. \u0000ApproachThe research was conducted by an independent researcher at Swansea University who co-produced research questions with the Welsh Government Fuel Poverty Policy Team. \u0000A longitudinal dataset was created by linking anonymised ‘Warm Homes: Nest’ improvements data to residents’ routine health records in the SAIL Databank at Swansea University. We examined recipient health before and after intervention compared with controls. \u0000A high-level policy briefing and research report were published in the Welsh Government Social Research – Analysis for Policy series. \u0000Findings were used to design and pilot new eligibility criteria to capture low-income individuals with a respiratory, circulatory or mental health condition. \u0000ResultsThis presentation will describe the policy impact pathway from initial discussions with policymakers to real world change, including: \u0000 \u0000securing ESRC funding for a Knowledge Transfer Fellowship, which included a 2013 data linking demonstration project… \u0000…which allowed funding to be secured for a 2015-18 research project focused on the impact of improvements on recipient health… \u0000…which published emerging findings in 2016… \u0000…and substantive findings in 2017, showing a significant positive impact of improvements on recipient health… \u0000…which policymakers used to design a pilot to test ways to widen eligibility criteria to include individuals on a low income with a respiratory, circulatory or mental health condition… \u0000…which led to scheme criteria being widened in 2019. \u0000 \u0000By 2021, 25% of recipients entered the scheme via the ‘health route’. \u0000ConclusionBy delivering research findings generated using linked real world data, and focused on questions co-produced with policymakers, researchers can successfully impact the design and implementation of government policy, thereby improving the lives of people in the real world - in this case, the health of the citizens of Wales.","PeriodicalId":36483,"journal":{"name":"International Journal of Population Data Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46075573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysing Siamese Neural Network Architectures for Computing Name Similarity.","authors":"Nicholas Vinden, Jérémy Foxcroft, L. Antonie","doi":"10.23889/ijpds.v7i3.2077","DOIUrl":"https://doi.org/10.23889/ijpds.v7i3.2077","url":null,"abstract":"IntroductionA wide assortment of string similarity measures can be used to determine how similar two names are. A diverse set of discriminating and independent features for name similarity are important for classification during record linkage. A Siamese neural network could surpass traditional string similarity measures for the name similarity problem. \u0000Objectives and ApproachThis research aims to compare a classifier based on the Siamese network architecture with a Random Forest classifier. In addition to comparing overall performance, we seek to answer whether there are any special properties of certain matching name pairs where the complexity of the Siamese network offers particular benefit. \u0000Our data consists of 25,000 last name pairings, with each pair being two variants of a family name. Name similarity predictions from the Siamese network are compared to a Random Forest model that serves as an ensemble of existing string similarity measures. \u0000ResultsWe compare the similarity scores yielded by the two methods and discuss the results. We describe the representation of names to each method; name representation is computed formulaically for the traditional measures but is learned by the Siamese network during training. The comparison of different methods is made both in terms of their similarity prediction quality, and the computational cost to generate the predictions. \u0000As expected, the Siamese network necessitates a significant computational cost to train. Unexpectedly, the ensemble of traditional measures yields almost identical overall classification performance. However, we expect that further analysis of false positives and false negatives will yield some insight into when practitioners should consider one method over the other. \u0000Conclusions/ImplicationsResults suggest that there may be instances where a Siamese network outperforms other similarity measures, although training a Siamese network comes at a considerable computational cost. It is worth considering this approach to name similarity as an additional similarity feature when performing record linkage tasks.","PeriodicalId":36483,"journal":{"name":"International Journal of Population Data Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46138847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Care trajectory in homes care users across mortality-risk profiles: an observational study.","authors":"Maya Murmann, D. Manuel, P. Tanuseputro, C. Bennett, M. Pugliese, Rhiannon Roberts, Wenshan Li, A. Hsu","doi":"10.23889/ijpds.v7i3.1847","DOIUrl":"https://doi.org/10.23889/ijpds.v7i3.1847","url":null,"abstract":"ObjectivesRESPECT is a prognostic tool, developed using linked population-based data, to predict 6-month mortality in community-dwelling older adults. RESPECT is implemented and openly accessible as a web-based tool on ProjectBigLife.ca, where over 700,000 calculations have been performed to date. Our objective was to describe healthcare utilization patterns among home care (HC) users across mortality risk profiles generated from RESPECT to inform care planning for older persons who have varying mortality risks and levels of care needs as they decline. \u0000ApproachWe conducted a retrospective cohort study examining healthcare use among HC users in Ontario, Canada, who received at least one interRAI HC assessment between April 2018 and September 2019.  Using linked health administrative data at the individual level, we examined the use of acute care (hospitalizations and emergency department (ED) visits), long-term care (LTC), and palliative home care within 6-months of each assessment and prognostication using RESPECT. Mortality risk profiles from RESPECT were created based on the median survival. \u0000ResultsThe cohort comprised 247,377 community-dwelling older adults; 14.3% died within 6-months of an assessment. Among decedents, half (51.51%) of HC users with a predicted median survival of less than 3-months received at least one palliative care home visit; 39.17%, 34.82% and 13.84% visited the ED, were hospitalized, or were admitted to LTC, respectively. The proportion of assessments that received at least one palliative HC visit declined to 43.11% and 30.28% of assessments with a median survival between 3- and 6-months and those between 6-months and 12-months, respectively.  The proportion of assessments with an acute care use increases with increasing median survival. \u0000ConclusionA considerable proportion of people at the end-of-life do not receive any palliative home care and continued to be institutionalized. This may be indication that the reduced life expectancies and palliative care needs of many older adults are not being recognized, thus demonstrating the value of prognostic models like RESPECT to inform care planning  for individuals in their final years of life.","PeriodicalId":36483,"journal":{"name":"International Journal of Population Data Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46199487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Goldstein et al.’s Scalelink method of data linkage.","authors":"M. A. M. Cleaton, Josie Plachta, R. Shipsey","doi":"10.23889/ijpds.v7i3.2042","DOIUrl":"https://doi.org/10.23889/ijpds.v7i3.2042","url":null,"abstract":"ObjectivesScalelink is an innovative probabilistic data linkage method based on correspondence analysis. Unlike the popular and widely-used Fellegi-Sunter algorithm, it does not assume linkage variable independence. It also claims to be more intuitive and computationally efficient. We aim to test this method for the first time on real-world big data. \u0000ApproachScalelink uses agreement states for each linkage variable and candidate pair. These are compared to determine how frequently, for all candidate pairs, any given agreement state is held at the same time as any other agreement state (this accounts for variable dependence). The results of this comparison are inputted into a loss function and the minimisation of this function is derived within constraints to produce weights. Currently, the method is accessible via Goldstein et al.’s paper and R package. We are translating it into PySpark to enable testing on datasets that are too large to link without using distributed computing. \u0000ResultsInitial testing of Goldstein et al.’s Scalelink method on small samples of real-world datasets shows that it performs as expected for a probabilistic linkage method, although cannot currently deal with missingness. To test the quality of the method on real-world big data, a high-quality linked dataset of the 2021 England and Wales Census and follow-up Census Coverage Survey will be used as a Gold Standard (GS). After developing a method that enables Scalelink to deal with missingness, we will apply Scalelink and automatic Fellegi-Sunter probabilistic linkage to this GS. We can thus establish and compare the precision and recall of both methods. We will also investigate linkage bias for particular demographics, test computational efficiency and estimate the clerical review burden for each method. \u0000ConclusionGoldstein et al.’s Scalelink algorithm shows promise as a high quality, scalable, dependence-free linkage algorithm for use in any matching project. Here, for the first time, we research the method’s quality and feasibility with real-world big data. From this we will produce recommendations regarding its utility.","PeriodicalId":36483,"journal":{"name":"International Journal of Population Data Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41432374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"COVID-19 vaccination rates and related outcomes in adults with intellectual and developmental disabilities (IDD): An application of linked administrative health data to support Ontario’s COVID-19 response.","authors":"N. Troke, Diana An, Eliane Kim, Y. Lunsky, R. Balogh, L. Plumptre","doi":"10.23889/ijpds.v7i3.2065","DOIUrl":"https://doi.org/10.23889/ijpds.v7i3.2065","url":null,"abstract":"ObjectivesEquitable vaccine distribution was essential in supporting Ontario’s COVID-19 response, particularly for persons with intellectual and developmental disabilities (IDD), who have been disproportionately impacted by the pandemic. An Applied Health Research Question (AHRQ) request through ICES, sought to report on COVID-19 vaccination uptake in adults with and without IDD. \u0000ApproachTo examine the proportion of adults with IDD vaccinated for COVID-19, a request from the Ministry of Children, Community and Social Services (MCCSS) was approved by the ICES-AHRQ team. A secondary goal was to explore if vaccinated individuals with IDD experienced similar levels of protection from COVID-19 infection, to the general population. The open cohort was derived by linking vaccination events reported in Ontario COVID-19 Vaccine Data, between December 2020 to December 2021, to several administrative health databases. An algorithm was used to define IDD by a series of inpatient hospitalizations, emergency department and/or physician visits, with IDD diagnostic codes. \u0000ResultsThe proportion who received at least two doses was similar between both groups (82% (IDD); 83% (non-IDD)). However, despite emerging evidence suggesting that high-risk populations should receive a third dose, a lower proportion of people with IDD (25%), compared to the general population without IDD (30%), had done so. The IDD subpopulation is generally younger, and partially explained the third dose findings when examined by age. Withal, adults with IDD vaccinated with at least two doses were mostly male (62% vs 48%), 18-29 years of age (44% vs 17%), and from the lowest neighborhood income quintile (26% vs 18%), compared to the non-IDD population, respectively. Cumulatively, adults with IDD had comparable rates of confirmed breakthrough case infections following vaccination (17%), to those without IDD (19%). \u0000Conclusion/ImplicationsAdministrative health data and analytics through the ICES-AHRQ program were used in responding to COVID-19, and providing public health guidance, for those with IDD. To inform decision making and policy actions related to immediate vaccination strategies, MCCSS used such findings to target vaccination efforts in specific IDD subpopulations, across Ontario.","PeriodicalId":36483,"journal":{"name":"International Journal of Population Data Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42505134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Longitudinal study of diabetes prevalence and hospitalisations among care experienced and general population children in Scotland: evidence of an end of care “cliff edge”?","authors":"M. Allik, A. Leyland, M. Henderson","doi":"10.23889/ijpds.v7i3.1998","DOIUrl":"https://doi.org/10.23889/ijpds.v7i3.1998","url":null,"abstract":"ObjectivesCare experienced people have poorer health in UK and internationally, but the direction of causation is debated. Using longitudinal cross-sectoral data linkage we explore if inequalities in diabetes prevalence and hospitalisation are present before entering care or develop during or after leaving care. \u0000ApproachHealth and social care data were linked for 13,830 care experienced children (CEC) and together with 649,771 general population children (GPC) their prescriptions and hospitalisations were followed from birth between 1990-2004 to study end in 2016. Diabetes prevalence was estimated as at least one prescription   or inpatient hospitalisation for diabetes. We compared hospitalisation percentages and rates in the two cohorts by age and gender. Results from multivariable models adjusted for socioeconomic status, age, gender, care type/length, local authority, and comorbidities will be presented at conference. \u0000ResultsDiabetes prevalence was similar in both cohorts and higher in females. However, CEC had twice as many hospitalisations as GPC. Mean hospitalisations were highest among care experienced males (6 compared to 3.6 in females and 2 in GPC). 24% of CEC were hospitalised 3-9 times and 13% 10+ times, for GPC these were 19% and 3% respectively. Hospitalisation rates increase with age in both cohorts, as do differences between cohorts. At ages 0-4 hospitalisation rates are similar, by ages 12-15 CEC have twice as high and at ages 18-27 4-times higher hospitalisation rates. Among CEC, across all ages hospitalisation rates are lower while the child is in care, with the lowest rates in foster care. Hospitalisation rates are highest before entering and after leaving care. \u0000ConclusionResults for diabetes hospitalisations suggest that being in care can be good for children’s health. However, a sudden withdrawal of support can create a “cliff edge” and health may deteriorate after leaving care. Data linkage has significant potential to inform policy and practice, including supporting CEC after leaving care.","PeriodicalId":36483,"journal":{"name":"International Journal of Population Data Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44664660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Maternal mental health and children’s development: a bi-directional relationship?","authors":"E. Lowthian, S. Bedston, A. Akbari, Alan Katz, K. Huxley, Rhodri D Johnson, S. M. Kristensen, R. Owen, Chris Taylor, L. Griffiths","doi":"10.23889/ijpds.v7i3.1936","DOIUrl":"https://doi.org/10.23889/ijpds.v7i3.1936","url":null,"abstract":"ObjectivesResearch on bi-directional associations between self-reported caregiver mental health and child development is mixed. Through linkage of a cohort study and primary care data, we examine whether maternal mental health diagnoses, treatment and symptoms are bi-directionally associated with child development, namely emotional and conduct problems, hyperactivity and peer problems. \u0000ApproachWe accessed 14 years of data by linking the Millennium Cohort Study (in Wales) to anonymised individual-level population-scale health and administrative data within the Secure Anonymised Information Linkage (SAIL) Databank. We identified maternal mental health problems using John et al’s (2016) existing algorithm for anxiety and depression diagnoses, symptoms and treatment. We measured child development using parent-reports of the Strengths and Difficulties questionnaire. Outcomes were tested when the child was 3, 5, 7, 11 and 14 years of age. We used Bayesian Structural Equation Modelling, specifically Random-Intercept Cross-Lagged Panel Models, to analyse within and between-person associations. \u0000ResultsWe found that mother’s mental health was strongly associated over time, as were children’s development difficulties. Cross-lagged associations from mother to child were weakly positively associated at age 3 to 5 for child total scores, and at age 11 to 14 for child emotional problems. In contrast, child development associations with maternal mental health were significant from age 7 to 11 for total scores, emotional and peer problems, but weakly associated at age 3 to 5, and 11 to 14 for conduct problems. Hyperactivity had few associations. Few associations at the same-time point were found, but emotional problems at age 11 and 14 were positively associated, as were hyperactivity at age 14, and peer problems at age 11. Between-person effects were consistently strongly associated. \u0000ConclusionWe find mixed evidence for bi-directional associations, but strong between-person associations. Overall development and emotional problem models showed more bi-directional relationships; child development was positively associated with mother’s mental health event at age 7 for all models except hyperactivity, conduct problems were weakly associated at age 5 and 11.","PeriodicalId":36483,"journal":{"name":"International Journal of Population Data Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44827953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}