Insights into young-onset dementia hospitalizations: An 8-year nationwide study using administrative data.

OBJECTIVE: To characterize all Portuguese public hospitalizations of patients aged < 65 years with a primary or secondary diagnosis of dementia, based on ICD-9-CM coding. METHODS: A retrospective observational study was conducted using a nationwide database encompassing all hospitalizations occurred in Portuguese mainland public hospitals with discharge from 2008 to 2015. Hospitalizations of patients aged 35-64 years with primary or secondary diagnoses of dementia were selected based on ICD-9-CM codes 290.1X-290.4X, 291.2, 292.82, 294.1X, 294.2X, 331.0, 331.1X, 331.82, 333.4 and 046.1, excluding diagnostic codes 317-319, 330.X, 343, 758.0-758.3 and 759.3. Information on age, sex, primary diagnosis, comorbidities (secondary diagnosis), type of admission, length of stay (LoS), in-hospital mortality, suicide attempts, discharge destination, readmissions and dementia etiology was collected. RESULTS: From 7971 hospitalizations, for 5682 inpatients, the median age was 57.3 years (SD±6.5) and 61.8% were of male patients. Vascular dementia was the most prevalent etiology, followed by Alzheimer's disease. Most admissions were urgent and had a primary diagnosis of 'Delirium, dementia and other cognitive disorders', followed by pneumonia and alcohol-related disorders. Dementia, cerebrovascular disease and diabetes were the most common comorbidities. Overall, 55.4% of admissions were first-time admissions during the study period and the median LoS was 10.0 days (Q1;Q3: 5.0;20.0). Suicide attempts were recorded in 0.6% of the episodes. The in-hospital mortality rate was 9.2% and most patients were discharged home (80.2%). CONCLUSIONS: This study describes the complexity and strain of young-onset dementia hospitalizations providing a detailed overview and recommendations for further research and tailored interventions.

Trends and Changes in Treating Proximal Humeral Fractures in Italy: Is Arthroplasty an Increasingly Preferred Option? A Nation-Wide, Population-Based Study over a Period of 22 Years.

Background: Proximal humeral fractures (PHFs) are common, especially in the elderly, and account for 4% to 10% of all fractures, with women more often affected than men. Treatments include conservative methods, internal fixation and arthroplasty, with surgical approaches increasingly being used due to technological advancements. This study analyzes the evolution of PHF treatments in Italy from 2001 to 2022, using data from the Italian Hospital Discharge Records (HDRs) Database, and includes a stratified analysis by age and sex. Methods: Using HDR data from 2001 to 2022, records with ICD9-CM codes for proximal humeral fractures (812.0 and 812.1) among diagnoses were selected and categorized into three treatment groups: arthroplasty, fixation and conservative. Time series were analyzed with stratification by sex and age. Results: The extracted data included 486,368 records of PHFs, with 223,742 cases treated surgically (arthroplasty or internal fixation) and 262,626 treated conservatively; the average patient age was 66.6 years, with a higher proportion of women, especially among arthroplasty patients. Over time, the use of fixation and arthroplasty increased from 20% of treatments in 2001 to over 60% in 2022, with fixation becoming the most common treatment method by 2014 and arthroplasty significantly increasing among women, particularly in the 65-74 and 75-84 age groups. Conclusions: The study shows that in Italy, over the past two decades, treatment for PHFs has shifted from conservative methods to a preference for internal fixation and increasingly for arthroplasty, particularly among women and patients aged 65-84, reflecting evolving trends and technological improvements.

Assessing the feasibility of anticholinergic burden scales and measures in administrative data: A systematic review.

AIM: This systematic review aimed to identify and evaluate the quality and adaptability of existing anticholinergic burden scales and measures by using administrative dispensing data. METHOD: A comprehensive literature search was conducted using the Medline, Embase, CINAHL, and Google Scholar databases from 2001 to 2022. Studies that introduced, updated, or modified anticholinergic burden scales and measures were included in this review. Quality assessment considered various aspects, including scoring systems, tool development criteria, and specific requirements tailored for administrative data. RESULTS: Twenty-eight anticholinergic burden scales and measures were identified in 14 countries. The Modified Anticholinergic Risk Scale excelled in the scoring system, while the German Anticholinergic Burden Scale stood out in the scale development process. However, significant variability was observed in methodologies, medication listings, and adaptability to administrative data. Quality assessment considers aspects such as potency, dose, exposure duration, longitudinal measurement, clinical interpretation, and compatibility with administrative data variables. The evaluation also considered tool development criteria including evidence for medication selection, panel expertise, relevance, updating methods, international applicability, validation, and clinical guidance. CONCLUSION: This review emphasizes the importance of adaptable and robust tools that can work well with administrative data to ensure patient safety and better health outcomes, given the ongoing evolution of anticholinergic medications. The findings of this systematic review provide valuable insights for clinicians and researchers in selecting the most appropriate anticholinergic burden scale or measure according to their specific needs and data sources. This systematic review was registered with PROSPERO (registration ID CRD42023423959).

Doing Justice: Ethical Considerations Identifying and Researching Transgender and Gender Diverse People in Insurance Claims Data.

Data on the health of transgender and gender diverse (TGD) people are scarce. Researchers are increasingly turning to insurance claims data to investigate disease burden among TGD people. Since claims do not include gender self-identification or modality (i.e., TGD or not), researchers have developed algorithms to attempt to identify TGD individuals using diagnosis, procedure, and prescription codes, sometimes also inferring sex assigned at birth and gender. Claims-based algorithms introduce epistemological and ethical complexities that have yet to be addressed in data informatics, epidemiology, or health services research. We discuss the implications of claims-based algorithms to identify and categorize TGD populations, including perpetuating cisnormative biases and dismissing TGD individuals' self-identification. Using the framework of epistemic injustice, we outline ethical considerations when undertaking claims-based TGD health research and provide suggestions to minimize harms and maximize benefits to TGD individuals and communities.

Temporal Trends and Mortality Patterns in Peripheral Arterial Disease: A Comprehensive Analysis of Hospitalized Patients in Kazakhstan between 2014 and 2021.

BACKGROUND: Peripheral artery disease (PAD) is a global health concern associated with arterial narrowing or blockage, leading to significant morbidity and mortality. The aim of this study is to assess the disease burden and trends in mortality utilizing nationwide administrative health data. METHODS: This retrospective study utilized data from the Unified National Electronic Healthcare System (UNEHS) from 2014 to 2021. Patients meeting PAD criteria were included, with demographic and clinical data analyzed. Cox regression and Competing Risk Analysis assessed mortality risks. RESULTS: Between 2014 and 2021, 19,507 individuals were hospitalized due to PAD, with 8,332 (43%) being women and 11,175 (57%) men. The incidence of PAD increased markedly over the observation period, rising from 79 individuals per million population (PMP) in 2014 to 309 PMP in 2021. Concurrent heart failure (HF), acute myocardial infarction (AMI), diabetes, and essential hypertension were prevalent in 50%, 27%, 27%, and 26% of the PAD patients, respectively. Competing Risk Analysis showed a subdistribution hazard ratio (SHR) of 6.53 [95% CI: 4.65-9.19] for individuals over 80 years. Heart failure was associated with lower all-cause HR [0.80, 95% CI: 0.76-0.86, p < 0.001] but higher SHR [1.30, 95% CI: 1.18-1.44, p < 0.001]. Comorbidities such as heart failure, stroke, and acute myocardial infarction significantly increased mortality risks, while essential hypertension was associated with lower risk of death. CONCLUSION: The significant rise in the incidence rate of PAD underscores the growing burden of the disease, highlighting the urgent need for targeted preventive and management strategies in Kazakhstan.

Agreement of Medication Information Derived From EHR Data Compared to Medicare Insurance Claims: An Analysis of Biologic Disease-Modifying Antirheumatic Drugs.

PURPOSE: Few studies have reported the agreement between medication information derived from ambulatory EHR data compared to administrative claims for high-cost specialty drugs. We used data from a national EHR-enabled registry, the Rheumatology Informatics System for Effectiveness (RISE), with linked Medicare claims in a population of patients with rheumatoid arthritis (RA) to investigate variations in agreement for different biologic disease-modifying agents (bDMARDs) between two data sources (RISE EHR data vs. Medicare claims), categorized by drug, route of administration, and patient insurance factors (dual eligibility). METHODS: Patients ≥ 65 years old, with ≥ 2 visits in RISE with RA ICD codes ≥ 30 days apart, and continuous enrollment in Medicare Parts B and D in 2017-2018 were included. We classified patients as bDMARD users or nonusers in Medicare claims or EHR data in 2018, and we calculated sensitivity, specificity, positive predicted value (PPV), and negative predicted value (NPV) of EHR data for identifying bDMARD users, using Medicare as the reference standard. We also calculated these metrics after stratifying by clinic-administered (Part B) versus. pharmacy-dispensed (Part D) bDMARDs and by patient dual-eligibility. RESULTS: A total of 26 097 patients were included in the study. Using Medicare claims as the reference standard, EHR data had a sensitivity of 75.0%-90.8% for identifying patients with the same medication and route. PPV for Part B bDMARDs was higher compared with Part D bDMARDs (range 94.3%-97.3% vs. 51.0%-69.6%). We observed higher PPVs for Part D bDMARDs among patients who were dual-eligible (range 82.4%-95.1%). CONCLUSION: The risk of misclassification of drug exposure based on EHR data sources alone is small for Medicare Part B bDMARDs but could be as high as 50% for Part D bDMARDs, in particular for patients who are not dually eligible for Medicare and Medicaid.

Comparative safety of different antibiotic regimens for the treatment of outpatient community-acquired pneumonia among otherwise healthy adults.

BACKGROUND: Evidence is limited about the comparative safety of antibiotic regimens for treatment of community-acquired pneumonia (CAP). We compared the risk of adverse drug events (ADEs) associated with antibiotic regimens for CAP treatment among otherwise healthy, non-elderly adults. METHODS: We conducted an active comparator new-user cohort study (2007-2019) of commercially-insured adults 18-64 years diagnosed with outpatient CAP, evaluated via chest x-ray, and dispensed a same-day CAP-related oral antibiotic regimen. ADE follow-up duration ranged from 2-90 days (e.g., renal failure [14 days]). We estimated risk differences [RD] per 100 treatment episodes and risk ratios using propensity score weighted Kaplan-Meier functions. Ankle/knee sprain and influenza vaccination were considered as negative control outcomes. RESULTS: Of 145,137 otherwise healthy CAP patients without comorbidities, 52% received narrow-spectrum regimens (44% macrolide, 8% doxycycline) and 48% received broad-spectrum regimens (39% fluoroquinolone, 7% ß-lactam, 3% ß-lactam + macrolide). Compared to macrolide monotherapy, each broad-spectrum antibiotic regimen was associated with increased risk of several ADEs (e.g., ß-lactam: nausea/vomiting/abdominal pain [RD per 100, 0.32; 95% CI, 0.10-0.57]; non-Clostridioides difficile diarrhea [RD per 100, 0.46; 95% CI, 0.25-0.68]; vulvovaginal candidiasis/vaginitis [RD per 100, 0.36; 95% CI, 0.09-0.69]). Narrow-spectrum antibiotic regimens largely conferred similar risk of ADEs. We generally observed similar risks of each negative control outcome, indicating minimal confounding. CONCLUSIONS: Broad-spectrum antibiotics were associated with increased risk of ADEs among otherwise healthy adults treated for CAP in the outpatient setting. Antimicrobial stewardship is needed to promote judicious use of broad-spectrum antibiotics and ultimately decrease antibiotic-related ADEs.

Graph neural network-based subgraph analysis for predicting adverse drug events.

PURPOSE: Adverse drug events (ADEs) are a significant global public health concern, and they have resulted in high rates of hospital admissions, morbidity, and mortality. Prior to the use of machine learning and deep learning methods, ADEs may not become well recognized until long after a drug has been approved and is widely used, which poses a significant challenge for ensuring patient safety. Consequently, there is a need to develop computational approaches for earlier identification of ADEs not detected during pre-registration clinical trials. METHODS: This paper presents a state-of-the-art network-based approach that models patients as subgraphs composed of nodes of International Classification of Diseases (ICD) codes and directed edges illustrating disease progression. Four Graph Neural Network (GNN) variants were employed to make sub-graph level predictions that answer three Research Questions (RQ): 1) whether ADE(s) would occur given a patient's prior diagnoses history, 2) when an ADE would occur, and 3) which ADE would occur. The first and second RQs were addressed using a binary classification approach. The third RQ was addressed using a multi-label classification model. RESULTS: The proposed network-based approach demonstrated superior performance in predicting ADEs, with the GraphSage model exhibiting the highest accuracy for both RQ 1 (0.8863) and RQ 3 (0.9367), while the Graph Attention Networks (GAT) model was found to perform best for RQ 2 (0.8769). Furthermore, an analysis segmented by ADE classification revealed that while RQs 1 and 3 exhibited minimal variance across different ADE categories, a distinct advantage was observed for categories B, C, and E in the context of RQ 2 when applying this sub-graph method. CONCLUSION: The network-based approach demonstrates the potential of GNNs in supporting the early detection and prevention of ADEs. Accurately predicting ADEs could enable healthcare professionals to make informed clinical decisions, take preventive measures and adjust medication regimens before serious adverse events occur. The proposed prediction method could also lead to optimized usage of healthcare resources by preventing hospital admissions and reducing the overall burden of adverse drug events on the healthcare systems.

When do parents report their child's administrative ADHD diagnosis? A utilisation-based analysis from the consortium project INTEGRATE-ADHD.

Background: This article examines discrepancies in the frequency of diagnoses of attention-deficit/hyperactivity disorder (ADHD) in children and adolescents in Germany using information on health care utilisation from both administrative and parent-reported survey data linked at person level. Methods: 5,461 parents of 0- to 17-year-olds insured with DAK-Gesundheit in 2020 and being registered with a confirmed administrative ADHD diagnosis (ICD-10 F90.0-9) in at least one quarter in 2020 (M1Q criterion) were surveyed online on their child's ADHD diagnosis, utilisation of specialist care and therapeutic service providers. With regard to the presence of a parental report of the child's documented ADHD diagnosis, administrative data and survey data were bi- and multivariately analysed. Results: The response rate was 21.5 %. ADHD diagnoses were given more frequently in the context of paediatric care, but in the multivariable model with the administrative data only the diagnosis made by mental health professionals (OR = 2.78), in the model with the survey data only utilisation of mental health professionals (OR = 2.99) positively predicted the parental diagnostic report. With regard to the utilisation of therapeutic service providers, only the utilisation of occupational therapy was associated with the parental report of the diagnosis in both data sources. Conclusions: Parental non-reporting of a child's administrative ADHD diagnosis in survey studies can be in part be explained by utilisation characteristics.

Receipt of social services intervention in childhood, educational attainment and emergency hospital admissions: longitudinal analyses of national administrative health, social care, and education data in Wales, UK.

BACKGROUND: Research consistently finds poorer health and educational outcomes for children who have experienced out-of-home care relative to the general population. Few studies have explored differences between those in care and those in receipt of intervention from social services but not in care. Children receiving social services interventions often experience Adverse Childhood Experiences (ACEs), and deprivation, which are known to negatively impact outcomes. We aimed to estimate the association of different social services interventions with educational outcomes and hospital admissions, while adjusting for ACEs and deprivation. METHODS: We linked retrospective, routinely collected administrative records from health, education, and social care to create a cohort via the Secure Anonymised Information Linkage (SAIL) databank in Wales, UK. We analysed data for children and household members (N = 30,439) across four different groups: [1] no social care intervention; [2] children in need but not in care (CIN); [3] children on the Child Protection Register but not in care (CPR); [4] children in care - i.e. removed from the family home and looked after by the local authority (CLA). Our primary outcome was education outcomes at age 16 years. Secondary outcomes were all cause emergency hospital admissions, and emergency admissions for external causes/injuries. RESULTS: Children in receipt of social services intervention were more likely to not attain the expected level upon leaving statutory education at age 16 after adjusting for ACEs and other characteristics (for children who had been in out-of-home care (conditional OR: 1·76, (95%CI) 1·25 - 2·48), in need (2·51, 2·00-3·15) and those at risk (i.e., on the child protection register) (4·04, 2·44 - 6·68). For all-cause emergency admissions, all social care groups were at greater risk compared to children in the general population (children in care (conditional HR: 1·31, 1·01-1·68), children in need (1·62, 1·38 - 1·90), and children at risk (1·51, 1·11 - 2·04). CONCLUSIONS: All groups receiving social service intervention experience poorer educational and health outcomes than peers in the general population. Children who remain with their home parents or caregivers but are identified as 'in need' or 'at risk' by social care practitioners require further research. Integrated support is needed from multiple sectors, including health, educational and social care.

Maori and the Integrated Data Infrastructure: an assessment of the data system and suggestions to realise Maori data aspirations [Te Maori me te Integrated Data Infrastructure: he aromatawai i te punaha raraunga me nga marohitanga e poipoia ai nga wawata raraunga Maori].

The Statistics New Zealand Integrated Data Infrastructure (IDI) is a collection of de-identified whole-population administrative datasets. Researchers are increasingly utilising the IDI to answer pressing social and policy research questions. Our work provides an overview of the IDI, associated issues for Maori (the Indigenous peoples of New Zealand), and steps to realise Maori data aspirations. We first introduce the IDI including what it is and how it was developed. We then move to an overview of Maori Data Sovereignty. We consider the main issues with the IDI for Maori including technical issues and problems with ethnic identifiers, deficit-framed work, community involvement, consent, social licence, further data linkage, offshore access, and barriers to access for Maori. We finish with a set of recommendations around how to improve the IDI for Maori, making sure that Maori can get the most out of administrative data for our communities. These include the need to build data researcher capacity and capability for Maori; work with hapori Maori to increase utilisation; change accountability mechanisms, including greater co-governance of data; adequately fund alternatives; or potentially even abolishing the IDI and starting again.

The effects of COVID-19 on the development of reported incidents of child maltreatment over time: A systematic literature review.

BACKGROUND: During the COVID-19 pandemic, the life of families all over the world changed unprecedentedly, risks and vulnerabilities for child maltreatment might have altered. While several studies and reviews look at altered reports to child protective services and other organizations in the child protection system, particularly during the first lockdown in spring 2020, there is a gap in research on trends of reported child maltreatment incidents over time. OBJECTIVE: To bridge the gap on mid- to long-term developments and trends of changes over time, we aimed at summarizing findings on monthly breakdowns of CM reports over time during the pandemic. METHODS: In systematic searches of academic literature databases, we have identified 11 articles that adhere to the inclusion criteria of monthly breakdown data from child protective services during the COVID-19 pandemic with a pre-pandemic comparison period. Three additional grey literature reports haven been identified. Both studies and reports had to be published in either English, Arabic, French, German, Portuguese, or Spanish. RESULTS: Notably, overall, the level of reported incidents has decreased compared to the years before the COVID-19 pandemic. Overall, no clear and reliable picture emerges in developments by different types of reporters. If the number of reports decreases overall, consequently, the overall number or responses to reports does. Some studies, however, report an altered proportion of responses that increased. CONCLUSION: There is still a lot to be investigated and understood when it comes to the impact of the COVID-19 pandemic on CM. Policy-makers are called to not only invest into more research on the topic, but, first and foremost, to anticipate a potentially surging need in improved responses to a vulnerable group.

Cumulative incidence of chronic health conditions recorded in hospital inpatient admissions from birth to age 16 in England.

BACKGROUND: Monitoring the incidence of chronic health conditions (CHCs) in childhood in England, using administrative data to derive numerators and denominators, is challenged by unmeasured migration. We used open and closed birth cohort designs to estimate the cumulative incidence of CHCs to age 16 years. METHODS: In closed cohorts, we identified all births in Hospital Episode Statistics (HES) from 2002/3 to 2011/12, followed to 2018/19 (maximum age 8 to 16 years), censoring on death, first non-England residence record or 16th birthday. Children must have linked to later HES records and/or the National Pupil Database, which provides information on all state school enrolments, to address unmeasured emigration. The cumulative incidence of CHCs was estimated to age 16 using diagnostic codes in HES inpatient records. We also explored temporal variation. Sensitivity analyses varied eligibility criteria. In open cohorts, we used HES data on all children from 2002/3 to 2018/19 and national statistics population denominators. RESULTS: In open and closed approaches, the cumulative incidence of ever having a CHC recorded before age 16 among children born in 2003/4 was 25% (21% to 32% in closed cohort sensitivity analyses). There was little temporal variation. At least 28% of children with any CHC had more than one body system affected by age 16. Multimorbidity rates rose with later cohorts. CONCLUSIONS: Approximately one-quarter of children are affected by CHCs, but estimates vary depending on how the denominator is defined. More accurate estimation of the incidence of CHCs requires a dynamic population estimate.

Assessing Narrative Patterns in Health Access, Outcomes, and Behaviors Across Three Data Sets From England, the United States, and California for Sexual Minority Adults.

We examined peer-reviewed publications analyzing data from the English GP Patient Survey (GPPS), U.S. National Health Interview Survey (NHIS), and California Health Interview Survey (CHIS) to explore how the health of sexual minority populations varies across settings and subgroups. We searched for English language articles published 2011-2022, screening abstracts (n = 112), reviewing full text (n = 97), and extracting data (n = 85). We conducted a content analysis to identify patterns across settings for sexual minority people compared with heterosexual counterparts and each other. Across all settings, sexual minority adults had poorer health care access, worse health outcomes and patient experiences, more detrimental health behaviors, and greater health care services utilization (reflecting risk awareness and need). When subgroup data were reported, differences were greater among women, except for HIV and related cancers, which were most prevalent among sexual minority men. Sexual minority people generally reported significantly worse health access, outcomes, and behaviors in all three settings.

Healthcare Cost of Multiple Sclerosis and in Relation to Disability Level in Alberta.

BACKGROUND: We aimed to (1) report updated estimates of direct healthcare costs for people living with MS (pwMS), (2) contrast costs to a control population and (3) explore differences between disability levels among pwMS. METHODS: Administrative data were used to identify adult pwMS (MS cohort) and without (control cohort) in Alberta, Canada; disability level (based on the Expanded Disability Status Scale) among pwMS was estimated. One- and two-part generalized linear models with gamma distribution were used to estimate the incremental direct healthcare cost (2021 $CDN) of MS during a 1-year observation period. RESULTS: Adjusting for confounders, the total healthcare cost ratio was higher in the MS cohort (n = 13,089) versus control (n = 150,080) (5.24 [95% CI: 5.08, 5.41]) with a predicted incremental cost of $15,016 (95% CI: $14,497, $15,535) per person-year. Among the MS cohort, total predicted direct healthcare costs were higher with greater disability, $14,430 (95% CI: $13,980, $14,880) to $58,697 ($51,514, $65,879) per person-year in mild and severe disability, respectively. The primary health resource cost component shifted from disease-modifying therapies in mild disability to supportive care in moderate and severe disability. CONCLUSION: Adult pwMS had greater direct healthcare costs than those without. Extrapolating to the population level (where 14,485 adult pwMS were identified in the study), it is estimated that $218 million per year in healthcare costs may be attributable to MS in Alberta. The significantly larger economic impact associated with greater disability underscores the importance of preventing or delaying disease progression and functional impairment in MS.

Disparities in healthcare costs of people experiencing homelessness in Toronto, Canada in the post COVID-19 pandemic era: a matched cohort study.

BACKGROUND: Evidence is limited about healthcare cost disparities associated with homelessness, particularly in recent years after major policy and resource changes affecting people experiencing homelessness occurred after the onset of the COVID-19 pandemic. We estimated 1-year healthcare expenditures, overall and by type of service, among a representative sample of people experiencing homelessness in Toronto, Canada, in 2021 and 2022, and compared these to costs among matched housed and low-income housed individuals. METHODS: Data from individuals experiencing homelessness participating in the Ku-gaa-gii pimitizi-win cohort study were linked with Ontario health administrative databases. Participants (n = 640) were matched 1:5 by age, sex-assigned-at-birth and index month to presumed housed individuals (n = 3,200) and to low-income presumed housed individuals (n = 3,200). Groups were followed over 1 year to ascertain healthcare expenditures, overall and by healthcare type. Generalized linear models were used to assess unadjusted and adjusted mean cost ratios between groups. RESULTS: Average 1-year costs were $12,209 (95% CI $9,762-$14,656) among participants experiencing homelessness compared to $1,769 ($1,453-$2,085) and $1,912 ($1,510-$2,314) among housed and low-income housed individuals. Participants experiencing homelessness had nearly seven times (6.90 [95% confidence interval [CI] 5.98-7.97]) the unadjusted mean ratio (MR) of costs as compared to housed persons. After adjustment for number of comorbidities and history of healthcare for mental health and substance use disorders, participants experiencing homelessness had nearly six times (adjusted MR 5.79 [95% CI 4.13-8.12]) the expected healthcare costs of housed individuals. The two housed groups had similar costs. CONCLUSIONS: Homelessness is associated with substantial excess healthcare costs. Programs to quickly resolve and prevent cases of homelessness are likely to better meet the health and healthcare needs of this population while being a more efficient use of public resources.

Human echinococcosis incidence in Canada: A retrospective descriptive study using administrative hospital and ambulatory visit data, 2000-2020.

Background: Echinococcosis is a zoonotic disease caused by the ingestion of tapeworm eggs shed by canids. The potential recent establishment of a more virulent European-type strain may be impacting human echinococcosis in Canada, yet information is limited. Objective: Administrative hospital and ambulatory visit data were used to provide a baseline of human echinococcosis cases in Canada between 2000-2020. Methods: Canadian Institute of Health Information's Discharge Abstract Database, Hospital Morbidity Database and National Ambulatory Care Reporting System were combined to identify cases. Risk ratios (RR) by demographic factors and cumulative incidences (CIN) over place and time were calculated. Results: A total of 806 echinococcosis cases were identified in Canada between 2000-2020, for a mean annual CIN of 1.3 cases per million population. Over the two decades, the mean annual CIN of cases increased nationally (1.3-1.4 cases per million), in the Northwest Territories (6.3-9.1 cases per million), in Alberta (1.5-2.4 cases per million) and in the Atlantic provinces (0.2-0.6 cases per million). Those from the Territories had the highest risk of echinococcosis (RR 17.1; 95% confidence interval: 8.7-33.7). Conclusion: Though explanations are multifactorial, the new European-type strain may have a role in the small absolute increase in echinococcosis CIN in Canada observed over the study period. The CIN is likely underestimated and the validity of administrative data for analyzing zoonoses warrants investigation. Though this study contributes important awareness and a baseline, improved data are needed to clarify the effects of the new strain and inform public health response.

A proposed method for identifying Interfacility transfers in Medicare claims data.

OBJECTIVE: To develop a method of consistently identifying interfacility transfers (IFTs) in Medicare Claims using patients with ST-Elevation Myocardial Infarction (STEMI) as an example. DATA SOURCES/STUDY SETTING: 100% Medicare inpatient and outpatient Standard Analytic Files and 5% Carrier Files, 2011-2020. STUDY DESIGN: Observational, cross-sectional comparison of patient characteristics between proposed and existing methods. DATA COLLECTION/EXTRACTION METHODS: We limited to patients aged 65+ with STEMI diagnosis using both proposed and existing methods. PRINCIPAL FINDINGS: We identified 62,668 more IFTs using the proposed method (86,128 versus 23,460). A separately billable interfacility ambulance trip was found for more IFTs using the proposed than existing method (86% vs. 79%). Compared with the existing method, transferred patients under the proposed method were more likely to live in rural (p < 0.001) and lower income (p < 0.001) counties and were located farther away from emergency departments, trauma centers, and intensive care units (p < 0.001). CONCLUSIONS: Identifying transferred patients based on two consecutive inpatient claims results in an undercount of IFTs and under-represents rural and low-income patients.

Using latent variable modelling to identify etiological heterogeneity in preterm delivery.

AIMS: To identify a subgroup of mothers at high risk of preterm delivery, defined by empirical classes of multimorbidity and recurrence across three consecutive births. METHODS: The data were extracted from the perinatal data collection (PDC) of all inpatient live births (n = 435 912) occurring in the Australian state of Queensland between January 2009 and December 2015. Within this data, a total of 7714 primiparous mothers delivered three consecutive singleton live births (total births = 23 142), and comprise the sample for all analyses. RESULTS: The LCA indicated a four-class solution fit the data best at each time point, including (i) a 'normative' or healthy class with little morbidity (including >80% of the sample at each birth); (ii) a preterm, high morbidity class (<2% of the sample); (ii) a delivery morbidity class (4-8% of the sample); and (iii) preterm, low morbidity class (5-6% of the sample). Each group exhibited unique and consistent associations with maternal and pregnancy-related factors across births. After accounting for these factors, the high morbidity class and preterm, low morbidity class strongly predicted these same classes across consecutive births, and from birth 1 to birth 3 (second-order transition). CONCLUSIONS: A small but highly morbid class of neonatal deliveries emerged, exhibiting strong continuity across consecutive births (odds ratios >10), independent of a range of maternal and pregnancy-related factors. This group of women, if subject to further investigation, could provide valuable insight into the aetiology of prematurity and associated morbidity, perhaps providing information to improve birth outcomes among all women.

Re-Exposure to Culprit Medication Following Adverse Drug Event Diagnosis in Canadian Emergency Department Patients: A Cohort Study.

PURPOSE: The magnitude of repeat exposures to culprit medications after hospital discharge is not well studied. We combined prospective cohort data with administrative health data to understand the frequency of repeat exposures to culprit medications after discharge and the risk factors for their occurrence. METHODS: This was a retrospective analysis of three prospective cohorts of patients who presented to the hospital with an adverse drug event in British Columbia, from 2008 to 2015 (n = 849). We linked prospectively identified adverse drug events to administrative data to examine patterns of redispensing of culprit medications. We used Cox regression to assess risk factors for re-exposure, and conducted subgroup analyses for essential vs. nonessential medications. RESULTS: Among 849 diagnosed adverse drug events, 45.2% had subsequent culprit medication redispensing within a year of hospital discharge. The factors associated with re-exposures included atrial fibrillation, adverse drug event type (e.g. adverse reaction), culprit medication type, and longer historical duration of medication use. CONCLUSIONS: Re-exposures to culprit medications occurred in almost half of the adverse drug events diagnosed in emergency departments. Many of these were appropriate re-exposures to essential medications for indications in which the risk of uncontrolled disease likely outweighed the risk of a repeat adverse event. More research is needed to understand re-exposures to nonessential medications or medications with safer alternatives.