Anders Hammerich Riis

Cohort profile: CROSS-TRACKS: a population-based open cohort across healthcare sectors in Denmark

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Cohort profile : CROSS-TRACKS: a population-based open cohort across healthcare sectors in Denmark. / Riis, Anders Hammerich; Kristensen, Pia Kjær; Petersen, Matilde Grøndahl; Ebdrup, Ninna Hinchely; Lauritsen, Simon Meyer; Jørgensen, Marianne Johansson.

In: BMJ Open, Vol. 10, No. 10, e039996, 10.2020.

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@article{7248a15588d049a192fc6cd8be1946dd,
title = "Cohort profile: CROSS-TRACKS: a population-based open cohort across healthcare sectors in Denmark",
abstract = "Purpose This 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. Participants A 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. ",
keywords = "epidemiology, health informatics, quality in health care",
author = "Riis, {Anders Hammerich} and Kristensen, {Pia Kj{\ae}r} and Petersen, {Matilde Gr{\o}ndahl} and Ebdrup, {Ninna Hinchely} and Lauritsen, {Simon Meyer} and J{\o}rgensen, {Marianne Johansson}",
year = "2020",
month = oct,
doi = "10.1136/bmjopen-2020-039996",
language = "English",
volume = "10",
journal = "B M J Open",
issn = "2044-6055",
publisher = "BMJ Publishing Group",
number = "10",

}

RIS

TY - JOUR

T1 - Cohort profile

T2 - CROSS-TRACKS: a population-based open cohort across healthcare sectors in Denmark

AU - Riis, Anders Hammerich

AU - Kristensen, Pia Kjær

AU - Petersen, Matilde Grøndahl

AU - Ebdrup, Ninna Hinchely

AU - Lauritsen, Simon Meyer

AU - Jørgensen, Marianne Johansson

PY - 2020/10

Y1 - 2020/10

N2 - Purpose This 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. Participants A 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.

AB - Purpose This 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. Participants A 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.

KW - epidemiology

KW - health informatics

KW - quality in health care

UR - http://www.scopus.com/inward/record.url?scp=85095385996&partnerID=8YFLogxK

U2 - 10.1136/bmjopen-2020-039996

DO - 10.1136/bmjopen-2020-039996

M3 - Journal article

C2 - 33122323

AN - SCOPUS:85095385996

VL - 10

JO - B M J Open

JF - B M J Open

SN - 2044-6055

IS - 10

M1 - e039996

ER -