ArticleBMJ open2020
Cohort profile: CROSS-TRACKS: a population-based open cohort across healthcare sectors in Denmark.
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Long-term shoulder-related secondary health-care contact among people with subacromial pain: a secondary analysis of a randomized controlled trial of home-based vs. supervised exercise regimens.JSES international · 2026Article
- The influence of clinical and sociodemographic variables on employment and education for Danish youth with a psychotic disorder: a population-based national registry study.Social psychiatry and psychiatric epidemiology · 2026Article
- Contemporary Description of Clinical Characteristics and Outcomes in Patients with Hereditary ATTR Amyloidosis: Results from the Multicountry OverTTuRe Study.Cardiology and therapy · 2026Article
- Economic evaluation of advanced practice physiotherapy models of care for upper extremity musculoskeletal disorders In Denmark: a registry-based cohort study.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Article
- Preadmission morbidity and healthcare utilization among older adults with potentially avoidable hospitalizations: a Danish case-control study.European geriatric medicine · 2024Article
- Prevalence of factors contributing to unplanned hospital readmission of older medical patients when assessed by patients, their significant others and healthcare professionals: a cross-sectional survey.European geriatric medicine · 2023Observational
- Healthcare Use in the Five Years Before a First Infertility Diagnosis: A Danish Register-Based Case-Control Study in the CROSS-TRACKS Cohort.Clinical epidemiology · 2022Article
- The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards.NPJ digital medicine · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis paper describes the open cohort CROSS-TRACKS, which comprises population-based data from primary care, secondary care and national registries to study patient pathways and transitions across sectors while adjusting for sociodemographic characteristics.
participantsA total of 221 283 individuals resided in the four Danish municipalities that constituted the catchment area of Horsens Regional Hospital in 2012-2018. A total of 96% of the population used primary care, 35% received at least one transfer payment and 66% was in contact with a hospital at least once in the period. Additional clinical information is available for hospital contacts (eg, alcohol intake, smoking status, body mass index and blood pressure). A total of 23% (n=8191) of individuals aged ≥65 years had at least one potentially preventable hospital admission, and 73% (n=5941) of these individuals had more than one. FINDINGS TO DATE: The cohort is currently used for research projects in epidemiology and artificial intelligence. These projects comprise a prediction model for potentially preventable hospital admissions, a clinical decision support system based on artificial intelligence, prevention of medication errors in the transition between sectors, health behaviour and sociodemographic characteristics of men and women prior to fertility treatment, and a recently published study applying machine learning methods for early detection of sepsis. FUTURE PLANS: The CROSS-TRACKS cohort will be expanded to comprise the entire Central Denmark Region consisting of 1.3 million residents. The cohort can provide new knowledge on how to best organise interventions across healthcare sectors and prevent potentially preventable hospital admissions. Such knowledge would benefit both the individual citizen and society as a whole.
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