Advancing Population Health Through Open Environmental Data Platforms.

Data stand as the foundation for studying, evaluating, and addressing the multifaceted challenges within environmental health research. This chapter highlights the contributions of the Canadian Urban Environmental Health Research Consortium (CANUE) in generating and democratizing access to environmental exposure data across Canada. Through a consortium-driven approach, CANUE standardizes a variety of datasets - including air quality, greenness, neighborhood characteristics, and weather and climatic factors - into a centralized, analysis-ready, postal code-indexed database. CANUE's mandate extends beyond data integration, encompassing the design and development of environmental health-related web applications, facilitating the linkage of data to a wide range of health databases and sociodemographic data, and providing educational training and events such as webinars, summits, and workshops. The operational and technical aspects of CANUE are explored in this chapter, detailing its human resources, data sources, computational infrastructure, and data management practices. These efforts collectively enhance research capabilities and public awareness, fostering strategic collaboration and generating actionable insights that promote physical and mental health and well-being.

Cancer risk among people living with Human Immuodeficiency Virus (HIV) in Rwanda from 2007 to 2018.

Assessing the risk of cancer among people living with HIV (PLHIV) in the current era of antiretroviral therapy (ART) is crucial, given their increased susceptibility to many types of cancer and prolonged survival due to ART exposure. Our study aims to compare the association between HIV infection and specific cancer sites in Rwanda. Population-based cancer registry data were used to identify cancer cases in both PLHIV and HIV-negative persons. A probabilistic record linkage approach between the HIV and cancer registries was used to supplement HIV status ascertainment in the cancer registry. Associations between HIV infection and different cancer types were evaluated using unconditional logistic regression models. We performed several sensitivity analyses to assess the robustness of our findings and to evaluate the potential impact of different assumptions on our results. From 2007 to 2018, the cancer registry recorded 17,679 cases, of which 7% were diagnosed among PLHIV. We found significant associations between HIV infection and Kaposi's Sarcoma (KS) (adjusted odds ratio [OR]: 29.1, 95% CI: 23.2-36.6), non-Hodgkin lymphoma (NHL) (1.6, 1.3-2.0), Hodgkin lymphoma (HL) (1.6, 1.1-2.4), cervical (2.3, 2.0-2.7), vulvar (4.0, 2.5-6.5), penile (3.0, 2.0-4.5), and eye cancers (2.2, 1.6-3.0). Men living with HIV had a higher risk of anal cancer (3.1, 1.0-9.5) than men without HIV, but women living with HIV did not have higher risk than women without HIV (1.0, 0.2-4.3). Our study found that in an era of expanded ART coverage in Rwanda, HIV is associated with a broad range of cancers, particularly those linked to viral infections.

Assessing the accuracy of reporting of hypertension on death certificates in Australia.

BACKGROUND: There is insufficient evidence of how accurately hypertension is reported on death certificates, which are the primary evidence of causes of death. This study assesses the accuracy of reporting of hypertension on death certificates of decedents in Australia who previously had their blood pressure measured. METHODS: Blood pressure data from the 2014-15 and 2017-18 National Health Surveys were linked to death registration data from July 2015-December 2021 (average 3.3 years from survey to death). The percentage of decedents with hypertension reported on the death certificate was calculated according to blood pressure level and previous diagnosis of hypertension. RESULTS: Hypertension was reported on the death certificate of 20.2% (95% confidence interval 12.1-28.3%) of decedents who had very high to severe blood pressure (160/100 mmHg and above), 14.5% (10.3-18.8%) who had high blood pressure (140/90 mmHg to less than 160/100 mmHg), 14.1% (10.8%-17.4%) who had normal to high blood pressure (less than 140/90 mmHg) and who took hypertension medication, and 17.8% (13.6-22.0%) who had been diagnosed with hypertension. Where the decedent had very high to severe blood pressure, hypertension was reported for 27.9% (14.1-41.8%) of deaths if they had been diagnosed with hypertension and 21.7% (9.6-33.7%) where another cardiovascular disease was reported on the death certificate. CONCLUSIONS: Hypertension mortality in Australia is only reported for a minority of deaths of people with high or very high to severe blood pressure; this is also found for those with a prior diagnosis of hypertension.

Octopus follow-up: 20 year prognosis in patients randomized to on-pump CABG, off-pump CABG or PCI.

BACKGROUND: The very long-term outcomes of off-pump versus on-pump Coronary Artery Bypass Grafting (CABG) and Percutaneous Coronary Intervention (PCI) are largely unclear. We linked 20-years outcomes of two randomized trials to evaluate re-intervention and mortality outcomes for on-pump CABG, off-pump CABG and PCI. METHODS: A data linkage project was performed using data as registered within the Netherlands Heart Registration (NHR), Statistics Netherlands (CBS) and the Octopus trials. Between 1998 and 2000, these trials randomized patients with coronary artery disease to on-pump versus off-pump CABG (OctoPump trial), or to PCI versus off-pump CABG (OctoStent trial). With data linkage, the original 5 years follow-up time for clinical events was extended to 20 years, including mortality and coronary reinterventions. RESULTS: After 20 years, in the OctoPump trial all-cause mortality was 50.0% after on-pump, and 46.5% after off-pump CABG. There was no difference in the combined outcome of mortality and re-interventions (HR 0.82, 95% CI 0.59-1.12). In the OctoStent trial, all-cause mortality was 56.7% after PCI and 52.5% after off-pump CABG. There was no difference in the combined outcome of mortality and re-interventions (HR 0.76, 95% CI 0.57-1.04). Off-pump CABG patients underwent less re-interventions than PCI patients (HR 0.52, 95% CI 0.33-0.80). CONCLUSION: This study revealed no differences in 20-year survival between patients randomized to on-pump versus off-pump CABG, or to PCI versus off-pump-CABG. However, off-pump CABG patients underwent less re-interventions than PCI patients.

Data linkage studies of primary care utilisation after release from prison: a scoping review.

BACKGROUND: Primary care plays a central role in most, if not all, health care systems including the care of vulnerable populations such as people who have been incarcerated. Studies linking incarceration records to health care data can improve understanding about health care access following release from prison. This review maps evidence from data-linkage studies about primary care use after prison release. METHODS: The framework by Arksey and O'Malley and guidance by the Joanna Briggs Institute (JBI) were used in this review. This scoping review followed methods published in a study protocol. Searches were performed (January 2012-March 2023) in MEDLINE, EMBASE and Web of Science Core Collection using key-terms relating to two areas: (i) people who have been incarcerated and (ii) primary care. Using eligibility criteria, two authors independently screened publication titles and abstracts (step 1), and subsequently, screened full text publications (step 2). Discrepancies were resolved with a third author. Two authors independently charted data from included publications. Findings were mapped by methodology, key findings and gaps in research. RESULTS: The database searches generated 1,050 publications which were screened by title and abstract. Following this, publications were fully screened (n = 63 reviewer 1 and n = 87 reviewer 2), leading to the inclusion of 17 publications. Among the included studies, primary care use after prison release was variable. Early contact with primary care services after prison release (e.g. first month) was positively associated with an increased health service use, but an investigation found that a large proportion of individuals did not access primary care during the first month. The quality of care was found to be largely inadequate (measured continuity of care) for moderate multimorbidity. There were lower levels of colorectal and breast cancer screening among people released from custody. The review identified studies of enhanced primary care programmes for individuals following release from prison, with studies reporting a reduction in reincarceration and criminal justice system costs. CONCLUSIONS: This review has suggested mixed evidence regarding primary care use after prison release and has highlighted challenges and areas of suboptimal care. Further research has been discussed in relation to the scoping review findings.

Healthcare costs attributable to diabetes in pregnancy: A cost of illness study in Tasmania, Australia.

AIMS: To estimate the direct costs during the prenatal, delivery and postpartum periods in mothers with diabetes in pregnancy, compared to those without. METHODS: This study used a population-based dataset from 2004 to 2017, including 57,090 people with diabetes and 114,179 people without diabetes in Tasmania, Australia. Based on diagnostic codes, delivery episodes with gestational diabetes mellitus (GDM) were identified and matched with delivery episodes without diabetes in pregnancy. A group of delivery episodes with pre-existing diabetes was identified for comparison. Hospitalisation, emergency department and pathology costs of these groups were calculated and adjusted to 2020-2021 Australian dollars. RESULTS: There were 2774 delivery episodes with GDM, 2774 delivery episodes without diabetes and 237 delivery episodes with pre-existing diabetes identified. Across the 24-month period, the pre-existing diabetes group required the highest costs, totalling $23,536/person. This was followed by the GDM ($13,210/person), and the no diabetes group ($11,167/person). The incremental costs of GDM over the no diabetes group were $890 (95% CI 635; 1160) in the year preceding delivery; $812 (616; 1031) within the delivery period and $341 (110; 582) in the year following delivery (p < 0.05). Within the year preceding delivery, the incremental costs in the prenatal period were $803 (579; 1058) (p < 0.05). Within the year following delivery, the incremental costs in the postpartum period were $137 (55; 238) (p < 0.05). CONCLUSIONS: Our results emphasised the importance of proper management of diabetes in pregnancy in the prenatal and postpartum periods and highlighted the significance of screening and preventative strategies for diabetes in pregnancy.

Adoption of high-sensitivity cardiac troponin for risk stratification of patients with suspected myocardial infarction: a multicentre cohort study.

Background: Guidelines recommend high-sensitivity cardiac troponin to risk stratify patients with possible myocardial infarction and identify those eligible for discharge. Our aim was to evaluate adoption of this approach in practice and to determine whether effectiveness and safety varies by age, sex, ethnicity, or socioeconomic deprivation status. Methods: A multi-centre cohort study was conducted in 13 hospitals across the United Kingdom from November 1st, 2021, to October 31st, 2022. Routinely collected data including high-sensitivity cardiac troponin I or T measurements were linked to outcomes. The primary effectiveness and safety outcomes were the proportion discharged from the Emergency Department, and the proportion dead or with a subsequent myocardial infarction at 30 days, respectively. Patients were stratified using peak troponin concentration as low (<5 ng/L), intermediate (5 ng/L to sex-specific 99th percentile), or high-risk (>sex-specific 99th percentile). Findings: In total 137,881 patients (49% [67,709/137,881] female) were included of whom 60,707 (44%), 42,727 (31%), and 34,447 (25%) were stratified as low-, intermediate- and high-risk, respectively. Overall, 65.8% (39,918/60,707) of low-risk patients were discharged from the Emergency Department, but this varied from 26.8% [2200/8216] to 93.5% [918/982] by site. The safety outcome occurred in 0.5% (277/60,707) and 11.4% (3917/34,447) of patients classified as low- or high-risk, of whom 0.03% (18/60,707) and 1% (304/34,447) had a subsequent myocardial infarction at 30 days, respectively. A similar proportion of male and female patients were discharged (52% [36,838/70,759] versus 54% [36,113/67,109]), but discharge was more likely if patients were <70 years old (61% [58,533/95,227] versus 34% [14,428/42,654]), from areas of low socioeconomic deprivation (48% [6697/14,087] versus 43% [12,090/28,116]) or were black or asian compared to caucasian (62% [5458/8877] and 55% [10,026/18,231] versus 46% [35,138/75,820]). Interpretation: Despite high-sensitivity cardiac troponin correctly identifying half of all patients with possible myocardial infarction as being at low risk, only two-thirds of these patients were discharged. Substantial variation in the discharge of patients by age, ethnicity, socioeconomic deprivation, and site was observed identifying important opportunities to improve care. Funding: UK Research and Innovation.

Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Victoria, Australia.

The HealthGap study aimed to understand cardiovascular risk among Indigenous Australians in Victoria using linked administrative data. A key challenge was differing spatial coverages of sources: state-level data for risk factors but cardiovascular outcomes for three hospitals. Catchments were defined based on hospital postcodes to estimate denominator populations for risk modelling: first- and second-order neighbours, and spatial distribution of outcomes ('spatial event distribution'). Catchment coverage was assessed through proportions of patients presenting to study hospitals from catchment postcodes. The spatial event distribution performed best, capturing 82% events overall (first-order:40%; second-order:64%) and 65% Indigenous (27% and 45%). No approach excluded proximal non-study hospitals. Spatial event distributions could help define denominator populations when geographic information on outcome data is available but may not avoid potential misclassification.

Prior emergency medical services utilization is a risk factor for in-hospital death among patients with substance misuse: a retrospective cohort study.

BACKGROUND: Substance misuse poses a significant public health challenge, characterized by premature morbidity and mortality, and heightened healthcare utilization. While studies have demonstrated that previous hospitalizations and emergency department visits are associated with increased mortality in patients with substance misuse, it is unknown whether prior utilization of emergency medical service (EMS) is similarly associated with poor outcomes among this population. The objective of this study is to determine the association between EMS utilization in the 30 days before a hospitalization or emergency department visit and in-hospital outcomes among patients with substance misuse. METHODS: We conducted a retrospective analysis of adult emergency department visits and hospitalizations (referred to as a hospital encounter) between 2017 and 2021 within the Substance Misuse Data Commons, which maintains electronic health records from substance misuse patients seen at two University of Wisconsin hospitals, linked with state agency, claims, and socioeconomic datasets. Using regression models, we examined the association between EMS use and the outcomes of in-hospital death, hospital length of stay, intensive care unit (ICU) admission, and critical illness events, defined by invasive mechanical ventilation or vasoactive drug administration. Models were adjusted for age, comorbidities, initial severity of illness, substance misuse type, and socioeconomic status. RESULTS: Among 19,402 encounters, individuals with substance misuse who had at least one EMS incident within 30 days of a hospital encounter experienced a higher likelihood of in-hospital mortality (OR 1.52, 95% CI [1.05 - 2.14]) compared to those without prior EMS use, after adjusting for confounders. Using EMS in the 30 days prior to an encounter was associated with a small increase in hospital length of stay but was not associated with ICU admission or critical illness events. CONCLUSIONS: Individuals with substance misuse who have used EMS in the month preceding a hospital encounter are at an increased risk of in-hospital mortality. Enhanced monitoring of EMS users in this population could improve overall patient outcomes.

Privacy preserving record linkage for public health action: opportunities and challenges.

OBJECTIVES: To understand the landscape of privacy preserving record linkage (PPRL) applications in public health, assess estimates of PPRL accuracy and privacy, and evaluate factors for PPRL adoption. MATERIALS AND METHODS: A literature scan examined the accuracy, data privacy, and scalability of PPRL in public health. Twelve interviews with subject matter experts were conducted and coded using an inductive approach to identify factors related to PPRL adoption. RESULTS: PPRL has a high level of linkage quality and accuracy. PPRL linkage quality was comparable to that of clear text linkage methods (requiring direct personally identifiable information [PII]) for linkage across various settings and research questions. Accuracy of PPRL depended on several components, such as PPRL technique, and the proportion of missingness and errors in underlying data. Strategies to increase adoption include increasing understanding of PPRL, improving data owner buy-in, establishing governance structure and oversight, and developing a public health implementation strategy for PPRL. DISCUSSION: PPRL protects privacy by eliminating the need to share PII for linkage, but the accuracy and linkage quality depend on factors including the choice of PPRL technique and specific PII used to create encrypted identifiers. Large-scale implementations of PPRL linking millions of observations-including PCORnet, National Institutes for Health N3C, and the Centers for Disease Control and Prevention COVID-19 project have demonstrated the scalability of PPRL for public health applications. CONCLUSIONS: Applications of PPRL in public health have demonstrated their value for the public health community. Although gaps must be addressed before wide implementation, PPRL is a promising solution to data linkage challenges faced by the public health ecosystem.

Long-term trends in incidence and outcomes of rib fractures: A population-based data linkage study from New South Wales, Australia.

OBJECTIVE: Determine long-term trends in population-based incidence and outcomes of rib fracture hospitalisations. METHODS: This was a data linkage study of rib fracture cases identified between 2015 and 2022 in New South Wales, Australia. Routinely collected health data were linked between ED, admitted patient and death registry data collection. The primary outcomes were age-specific incidence of rib fracture hospitalisation cases and risk-adjusted 30 days mortality. Other outcomes of interest were hospital length of stay (LOS), admission rate and ICU admissions. RESULTS: A total of 70 609 cases were analysed. Overall, the number of rib fracture hospitalisations increased by 25% between 2015 and 2022. The highest proportion of cases was in the 45-65 years (28%) and 65-85 years (31%) age groups. On a per population basis, the incidence rate increased by 2% per annum. After adjusting for age, comorbidity and injury severity, there was no significant trend in 30 days mortality observed between 2015 and 2022. The median inpatient LOS was 4 days with 38% of patients staying 1-2 days. Regional and rural areas were associated with more severe chest injuries. CONCLUSION: Rib fracture hospitalisations have increased with older patients driving this trend.

Excess mortality among individuals who have undergone addiction treatment: a study from Greenland.

In Greenland, where addiction-related concerns significantly affect well-being, research has explored alcohol's impact on health and mortality. However, no studies have focused on mortality among those who received addiction treatment. This study investigates whether individuals treated for addiction in Greenland experience elevated mortality rates compared to the general population. The study encompassed individuals receiving addiction treatment through the national system between 2012 and December 31, 2022. Data on treatment were sourced from the National Addiction Database, and Statistics Greenland. Person-years at risk were calculated and used to estimate crude mortality rates (CMRs). Adjusted standardized mortality rates (SMRs), accounting for age, sex, and calendar year, were estimated using an indirect method based on observed and expected deaths. Of the 3286 in treatment, 53.9% were women, with a median age of 37. About a third had undergone multiple treatment episodes, and 60.1% received treatment in 2019 or later. The cohort was followed for a median of 2.89 years, yielding 12,068 person-years. The overall CMR was 7.79 deaths per 1000 person-years, with a SMR of 1.42 (95% confidence interval: 1.15; 1.74). Significantly, SMRs differed by age at treatment entry, with younger groups exhibiting higher SMRs (p value = .021). This study found that individuals seeking treatment for addiction problems in Greenland had a higher mortality rate than the general population. Importantly, these SMRs were substantially lower than those observed in clinical populations in other countries.

Augmenting maternal clinical cohort data with administrative laboratory dataset linkages: a validation study.

Background: The use of big data and large language models in healthcare can play a key role in improving patient treatment and healthcare management, especially when applied to large-scale administrative data. A major challenge to achieving this is ensuring that patient confidentiality and personal information is protected. One way to overcome this is by augmenting clinical data with administrative laboratory dataset linkages in order to avoid the use of demographic information. Methods: We explored an alternative method to examine patient files from a large administrative dataset in South Africa (the National Health Laboratory Services, or NHLS), by linking external data to the NHLS database using specimen barcodes associated with laboratory tests. This offers us with a deterministic way of performing data linkages without accessing demographic information. In this paper, we quantify the performance metrics of this approach. Results: The linkage of the large NHLS data to external hospital data using specimen barcodes achieved a 95% success. Out of the 1200 records in the validation sample, 87% were exact matches and 9% were matches with typographic correction. The remaining 5% were either complete mismatches or were due to duplicates in the administrative data. Conclusions: The high success rate indicates the reliability of using barcodes for linking data without demographic identifiers. Specimen barcodes are an effective tool for deterministic linking in health data, and may provide a method of creating large, linked data sets without compromising patient confidentiality.

Cancer Registry Enrichment via Linkage with Hospital-Based Electronic Medical Records: A Pilot Investigation.

Background: Hospital electronic medical record (EMR) systems are becoming increasingly integrated for management of patient data, especially given recent policy changes issued by the Centers for Medicaid and Medicare Services. In addition to data management, these data provide evidence for patient-centered outcomes research for a range of diseases, including cancer. Integrating EMR patient data with existing disease registries strengthens all essential components for assuring optimal health outcomes. Objectives: To identify the mechanisms for extracting, linking, and processing hospital EMR data with the Florida Cancer Data System (FCDS); and to assess the completeness of existing registry treatment data as well as the potential for data enhancement. Methods: A partnership among the Florida Department of Health, FCDS, and a large Florida hospital system was established to develop methods for hospital EMR extraction and transmission. Records for admission years between 2007 and 2010 were extracted using ICD-9-CM codes as the trigger and were linked with the cancer registry for patients with invasive cancers of the breast. Results: A total of 11,506 unique patients were linked with a total of 12,804 unique breast tumors. Evaluation of existing registry treatment data against the hospital EMR produced a total of 5% of registry records with updated surgery information, 1% of records with updated radiation information, and 7% of records updated with chemotherapy information. Enhancement of registry treatment information was particularly affected by the availability of chemotherapy medications data. Conclusion: Hospital EMR linkages to cancer disease registries is feasible but challenged by lack of standards for data collection, coding and transmission, comprehensive description of available data, and the exclusion of certain hospital datasets. The FCDS standard treatment data variables are highly robust and complete but can be enhanced by the addition of detailed chemotherapy regimens that are commonly used in patient centered outcomes research.

Cohort profile: understanding health service system needs for people with intellectual disability using linked data in New South Wales, Australia.

This cohort profile describes one of the largest linked datasets in the world concerning the health of people with intellectual disability. The cohort comprises a retrospective group of 100,089 individuals with intellectual disability who received disability and/or health services in New South Wales, Australia. Of these participants, 34% were female, with a median age at cohort entry of 3 years (interquartile range, 0 to 19 years). A separate comparator cohort included 455,677 individuals, matched by 5-year age group, sex, and residential postcode at a 5:1 ratio. Initial results indicate that between 2001 and 2018, people with intellectual disability experienced more than double the rate of hospitalisations (538 versus 235 per 1000 person-years), as well as markedly higher rates of emergency department presentations (707 versus 379 per 1000 person-years) and use of ambulatory mental health services (1012 versus 157 per 1000 person-years), relative to the comparator cohort. The largest disparities in hospital admissions were for mental disorders, dialysis, and diseases of the nervous system and sense organs. Furthermore, individuals with intellectual disability had more than double the rate of dispensed medications found in the comparator cohort. Of these medications, 46.6% were for the treatment of nervous system conditions, as opposed to 24.7% for the comparator cohort. The mean age at death was 52 years (standard deviation [SD], 19 years) for people with intellectual disability and 64 years (SD, 22 years) for the comparator participants.

Factors associated with SARS-CoV-2 testing, diagnosis and COVID-19 disease among individuals prescribed opioid-agonist treatment: a nationwide retrospective cohort study.

OBJECTIVES: Among people receiving opioid-agonist treatment (OAT), the risk of COVID-19 infection and disease may be higher owing to underlying health problems and vulnerable social circumstances. We aimed to determine whether recent OAT, when compared with past exposure, affected the risk of (i) testing for SARS-CoV-2, (ii) testing positive for SARS-CoV-2, and (iii) being hospitalized or dying with COVID-19 disease. METHODS: We included individuals prescribed OAT in Scotland from 2015 to 2020. We performed record linkage to SARS-CoV-2 PCR testing, vaccination, hospitalization, and mortality data, and followed up from March 2020 to December 2021. We used proportional hazards analysis and multivariate logistic regression to estimate associations between recent OAT prescription (in the previous 2 months), compared with past exposure (off treatment for over a year), and COVID-19 outcomes. Models were adjusted for confounders. RESULTS: Among 36 093 individuals prescribed OAT, 19 071 (52.9%) were tested for SARS-CoV-2; 2896 (8.3%) tested positive; and 552 (1.5%) were hospitalized or died with COVID-19. Recent OAT, compared with past exposure, was associated with lower odds of testing positive among those tested (aOR, 0.63; 95% CI, 0.57-0.69). However, among those testing positive, recent OAT was associated with two-fold higher odds of hospitalization or death (aOR, 2.04; 95% CI, 1.60-2.59). DISCUSSION: We found that recent OAT was associated with lower odds of SARS-CoV-2 infection, but with higher odds of disease once diagnosed. Clinical studies are needed to unravel the role of OAT in these associations. An enhanced effort is warranted to increase vaccine coverage among OAT patients to mitigate the severe consequences of COVID-19.

Ascertainment of Aboriginal and Torres Strait Islander status for assessment of perinatal health outcomes: Reported versus derived maternal ethnicity in Western Australian pregnancy data.

BACKGROUND: Under-identification of Aboriginal and Torres Strait Islander (hereafter referred to as Aboriginal) people can result in inaccurate estimation of health outcomes. Data linkage has improved identification of Aboriginal people in administrative datasets. AIM: To compare three methods of ascertainment of Aboriginal status using only pregnancy data from the Western Australian Midwives Notification System (MNS), to the linked Indigenous Status Flag (ISF) derived by the Department of Health. MATERIALS AND METHODS: This retrospective population-based cohort study utilised logistic regression to determine which demographic characteristics were associated with under-identification, and the effect of ascertainment method on perinatal adverse outcomes. RESULTS: All methods identified a core group of 19 017 (83.0%) Aboriginal women and the ISF identified 2298 (10.0%) women who were not identified using any other method. Under-ascertainment was lowest when a woman's Aboriginal status was determined by ever being recorded as Aboriginal in the MNS data, and highest when taken as it had been recorded for the birth in question. Maternal age <20 years, smoking during pregnancy, pre-existing diabetes, a history of singleton preterm birth and being in the lowest 20% of Socio-Economic Indexes for Areas score were all associated with a higher chance of being identified by the methods using only the MNS. These methods were less likely to identify nulliparous women, and those with maternal age ≥35 years. The method of ascertainment of Aboriginality did not make a significant difference to the adjusted predicted marginal probabilities of adverse perinatal outcomes. CONCLUSION: Unlinked pregnancy data can be used for epidemiological research in Aboriginal obstetric populations.

Subgroup analyses and patterns of multiple sclerosis health service utilisation: A cluster analysis.

Background: Previous investigations of multiple sclerosis (MS)-related healthcare have focused on utilisation of specific individual health services (e.g. hospital care, office-based neurologists) by people with MS (PwMS). Meanwhile, little is known about possible patterns of utilisation across health services and their potential differences across patient characteristics. Objective: To comprehensively analyse and identify patterns of MS-related health service utilisation and detect patient characteristics explaining such patterns. Methods: In 2021, we invited all PwMS insured by the largest insurance company in Lower Saxony, Germany, to take part in an online survey. We merged respondents' survey and health insurance claims data. We analysed MS-related health service utilisation and defined individual characteristics for subgroup analyses based on Andersen's Behavioural Model. We executed non-parametric missing value imputation and conducted hierarchical clustering to find patterns in health service utilisation. Results: Of 6928 PwMS, 1935 responded to our survey and 1803 were included in the cluster analysis. We identified four distinct health service utilisation clusters: (1) regular users (n = 1130), (2) assistive care users (n = 443), (3) low users (n = 195) and (4) special services users (n = 35). Clusters differ by patient characteristics (e.g. age, impairment). Conclusion: Our findings highlight the complexity of MS-related health service utilisation and provide relevant stakeholders with information allowing them to tailor healthcare planning according to utilisation patterns.

Corrigendum: Estimating the prevalence of alcohol-related disorders and treatment utilization in Bremen 2016/2017 through routine data linkage.

[This corrects the article DOI: 10.3389/fpsyt.2023.1002526.].

How to Elucidate Consent-Free Research Use of Medical Data: A Case for "Health Data Literacy".

Unlabelled: The extensive utilization of personal health data is one of the key success factors of modern medical research. Obtaining consent to the use of such data during clinical care, however, bears the risk of low and unequal approval rates and risk of consequent methodological problems in the scientific use of the data. In view of these shortcomings, and of the proven willingness of people to contribute to medical research by sharing personal health data, the paradigm of informed consent needs to be reconsidered. The European General Data Protection Regulation gives the European member states considerable leeway with regard to permitting the research use of health data without consent. Following this approach would however require alternative offers of information that compensate for the lack of direct communication with experts during medical care. We therefore introduce the concept of "health data literacy," defined as the capacity to find, understand, and evaluate information about the risks and benefits of the research use of personal health data and to act accordingly. Specifically, health data literacy includes basic knowledge about the goals and methods of data-rich medical research and about the possibilities and limits of data protection. Although the responsibility for developing the necessary resources lies primarily with those directly involved in data-rich medical research, improving health data literacy should ultimately be of concern to everyone interested in the success of this type of research.