Catalogue of multimorbidity mean based severity and associational prevalence rates between 199+chronic conditions-A nationwide register-based population study

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Catalogue of multimorbidity mean based severity and associational prevalence rates between 199+chronic conditions-A nationwide register-based population study. / Hvidberg, Michael Falk; Frolich, Anne; Lundstrom, Sanne Lykke; Kamstrup-Larsen, Nina.

I: PLoS ONE, Bind 17, Nr. 9, 0273850, 2022.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Hvidberg, MF, Frolich, A, Lundstrom, SL & Kamstrup-Larsen, N 2022, 'Catalogue of multimorbidity mean based severity and associational prevalence rates between 199+chronic conditions-A nationwide register-based population study', PLoS ONE, bind 17, nr. 9, 0273850. https://doi.org/10.1371/journal.pone.0273850

APA

Hvidberg, M. F., Frolich, A., Lundstrom, S. L., & Kamstrup-Larsen, N. (2022). Catalogue of multimorbidity mean based severity and associational prevalence rates between 199+chronic conditions-A nationwide register-based population study. PLoS ONE, 17(9), [0273850]. https://doi.org/10.1371/journal.pone.0273850

Vancouver

Hvidberg MF, Frolich A, Lundstrom SL, Kamstrup-Larsen N. Catalogue of multimorbidity mean based severity and associational prevalence rates between 199+chronic conditions-A nationwide register-based population study. PLoS ONE. 2022;17(9). 0273850. https://doi.org/10.1371/journal.pone.0273850

Author

Hvidberg, Michael Falk ; Frolich, Anne ; Lundstrom, Sanne Lykke ; Kamstrup-Larsen, Nina. / Catalogue of multimorbidity mean based severity and associational prevalence rates between 199+chronic conditions-A nationwide register-based population study. I: PLoS ONE. 2022 ; Bind 17, Nr. 9.

Bibtex

@article{58e42f20cf134806b1d22c0fc64fbdce,
title = "Catalogue of multimorbidity mean based severity and associational prevalence rates between 199+chronic conditions-A nationwide register-based population study",
abstract = "BackgroundReal-world data on multimorbidity represents an important but underutilised source of evidence for the planning of healthcare services, including prevention, treatments, and health economic modelling. AimsThis study aimed to estimate means of multimorbidity and provide associated prevalence rates and frequencies between 199 x 199 chronic conditions and disease groups based on the total adult Danish population and sex, age, and educational attainment. Thus, this study provides an off-the-shelf catalogue for use in treatments and planning by clinicians, decision-makers and researchers. MethodsThe study population contained all Danish residents above 16 years on 1 January 2013 (n = 4,555,439). The data was based on the linkage of six national registers covering hospital contacts, services in general practice, filled-in out-of-hospital prescriptions, and educational attainments. The health registers were used to identify the 199 chronic conditions based on the ICD-10 classification system. ResultsThe mean number of chronic conditions (NCC) was 2.2. The mean increased with age, women had a higher mean than men, and there was a social gradient with the mean increasing with lower educational attainment. The mean NCC varied from 3.3-9.8 among all conditions. Across disease groups, the highest mean NCC were found within disease group N (chronic renal failure, mean = 8.8), D (in situ and benign neoplasms; mean = 6.5), K (diseases of the digestive system; mean = 5.7), and H (diseases of the eye and the ear; mean = 5.6). The highest mean NCC among the 29 common diseases was heart failure, ischemic heart diseases, angina pectoris, stroke, and dementia, with a mean above 6.5. Several prevalent conditions like hypertension, arthritis, chronic lower respiratory diseases, depression, type 2 diabetes, and overweight transcended other conditions regarding the associated prevalence rates. As one of the most frequent, hypertensive diseases were highly associated with arthritis (50.4%), depression (37.4%), type 2 diabetes (75.4%), cancers (49.7%), and being overweight (39.7%)-meaning that 50.4% of people with arthritis, 37.4% of people with depression and so on also had hypertensive diseases. The largest differences in means between individuals with no educational attainment and individuals with high educational attainment were found within disease groups J (diseases of the respiratory system, ratio = 1.8), Q (congenital malformations, deformations, and chromosomal abnormalities, ratio = 1.7), and B (viral hepatitis and human immunodeficiency virus disease, ratio = 1.7). ConclusionsThe current study provides a nationwide off-the-shelf catalogue of multimorbidity means and real-world associations estimates of 199+ chronic conditions for future clinical treatments and health care systems planning. The findings described are just one example of numerous results and underline that multimorbidity is highly prevalent in the adult Danish population and that it is a vital condition transcending all future medical treatment. The data offer essential information on the multimorbidity burden of disease in future differentiated treatments, healthcare planning, and economic, aetiological, and other research.",
keywords = "QUALITY-OF-LIFE, REAL-WORLD DATA, GLOBAL BURDEN, SYSTEMATIC ANALYSIS, DISABILITY WEIGHTS, CHRONIC DISEASES, CO-MORBIDITY, HEALTH-CARE, EPIDEMIOLOGY, DEFINITIONS",
author = "Hvidberg, {Michael Falk} and Anne Frolich and Lundstrom, {Sanne Lykke} and Nina Kamstrup-Larsen",
year = "2022",
doi = "10.1371/journal.pone.0273850",
language = "English",
volume = "17",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "9",

}

RIS

TY - JOUR

T1 - Catalogue of multimorbidity mean based severity and associational prevalence rates between 199+chronic conditions-A nationwide register-based population study

AU - Hvidberg, Michael Falk

AU - Frolich, Anne

AU - Lundstrom, Sanne Lykke

AU - Kamstrup-Larsen, Nina

PY - 2022

Y1 - 2022

N2 - BackgroundReal-world data on multimorbidity represents an important but underutilised source of evidence for the planning of healthcare services, including prevention, treatments, and health economic modelling. AimsThis study aimed to estimate means of multimorbidity and provide associated prevalence rates and frequencies between 199 x 199 chronic conditions and disease groups based on the total adult Danish population and sex, age, and educational attainment. Thus, this study provides an off-the-shelf catalogue for use in treatments and planning by clinicians, decision-makers and researchers. MethodsThe study population contained all Danish residents above 16 years on 1 January 2013 (n = 4,555,439). The data was based on the linkage of six national registers covering hospital contacts, services in general practice, filled-in out-of-hospital prescriptions, and educational attainments. The health registers were used to identify the 199 chronic conditions based on the ICD-10 classification system. ResultsThe mean number of chronic conditions (NCC) was 2.2. The mean increased with age, women had a higher mean than men, and there was a social gradient with the mean increasing with lower educational attainment. The mean NCC varied from 3.3-9.8 among all conditions. Across disease groups, the highest mean NCC were found within disease group N (chronic renal failure, mean = 8.8), D (in situ and benign neoplasms; mean = 6.5), K (diseases of the digestive system; mean = 5.7), and H (diseases of the eye and the ear; mean = 5.6). The highest mean NCC among the 29 common diseases was heart failure, ischemic heart diseases, angina pectoris, stroke, and dementia, with a mean above 6.5. Several prevalent conditions like hypertension, arthritis, chronic lower respiratory diseases, depression, type 2 diabetes, and overweight transcended other conditions regarding the associated prevalence rates. As one of the most frequent, hypertensive diseases were highly associated with arthritis (50.4%), depression (37.4%), type 2 diabetes (75.4%), cancers (49.7%), and being overweight (39.7%)-meaning that 50.4% of people with arthritis, 37.4% of people with depression and so on also had hypertensive diseases. The largest differences in means between individuals with no educational attainment and individuals with high educational attainment were found within disease groups J (diseases of the respiratory system, ratio = 1.8), Q (congenital malformations, deformations, and chromosomal abnormalities, ratio = 1.7), and B (viral hepatitis and human immunodeficiency virus disease, ratio = 1.7). ConclusionsThe current study provides a nationwide off-the-shelf catalogue of multimorbidity means and real-world associations estimates of 199+ chronic conditions for future clinical treatments and health care systems planning. The findings described are just one example of numerous results and underline that multimorbidity is highly prevalent in the adult Danish population and that it is a vital condition transcending all future medical treatment. The data offer essential information on the multimorbidity burden of disease in future differentiated treatments, healthcare planning, and economic, aetiological, and other research.

AB - BackgroundReal-world data on multimorbidity represents an important but underutilised source of evidence for the planning of healthcare services, including prevention, treatments, and health economic modelling. AimsThis study aimed to estimate means of multimorbidity and provide associated prevalence rates and frequencies between 199 x 199 chronic conditions and disease groups based on the total adult Danish population and sex, age, and educational attainment. Thus, this study provides an off-the-shelf catalogue for use in treatments and planning by clinicians, decision-makers and researchers. MethodsThe study population contained all Danish residents above 16 years on 1 January 2013 (n = 4,555,439). The data was based on the linkage of six national registers covering hospital contacts, services in general practice, filled-in out-of-hospital prescriptions, and educational attainments. The health registers were used to identify the 199 chronic conditions based on the ICD-10 classification system. ResultsThe mean number of chronic conditions (NCC) was 2.2. The mean increased with age, women had a higher mean than men, and there was a social gradient with the mean increasing with lower educational attainment. The mean NCC varied from 3.3-9.8 among all conditions. Across disease groups, the highest mean NCC were found within disease group N (chronic renal failure, mean = 8.8), D (in situ and benign neoplasms; mean = 6.5), K (diseases of the digestive system; mean = 5.7), and H (diseases of the eye and the ear; mean = 5.6). The highest mean NCC among the 29 common diseases was heart failure, ischemic heart diseases, angina pectoris, stroke, and dementia, with a mean above 6.5. Several prevalent conditions like hypertension, arthritis, chronic lower respiratory diseases, depression, type 2 diabetes, and overweight transcended other conditions regarding the associated prevalence rates. As one of the most frequent, hypertensive diseases were highly associated with arthritis (50.4%), depression (37.4%), type 2 diabetes (75.4%), cancers (49.7%), and being overweight (39.7%)-meaning that 50.4% of people with arthritis, 37.4% of people with depression and so on also had hypertensive diseases. The largest differences in means between individuals with no educational attainment and individuals with high educational attainment were found within disease groups J (diseases of the respiratory system, ratio = 1.8), Q (congenital malformations, deformations, and chromosomal abnormalities, ratio = 1.7), and B (viral hepatitis and human immunodeficiency virus disease, ratio = 1.7). ConclusionsThe current study provides a nationwide off-the-shelf catalogue of multimorbidity means and real-world associations estimates of 199+ chronic conditions for future clinical treatments and health care systems planning. The findings described are just one example of numerous results and underline that multimorbidity is highly prevalent in the adult Danish population and that it is a vital condition transcending all future medical treatment. The data offer essential information on the multimorbidity burden of disease in future differentiated treatments, healthcare planning, and economic, aetiological, and other research.

KW - QUALITY-OF-LIFE

KW - REAL-WORLD DATA

KW - GLOBAL BURDEN

KW - SYSTEMATIC ANALYSIS

KW - DISABILITY WEIGHTS

KW - CHRONIC DISEASES

KW - CO-MORBIDITY

KW - HEALTH-CARE

KW - EPIDEMIOLOGY

KW - DEFINITIONS

U2 - 10.1371/journal.pone.0273850

DO - 10.1371/journal.pone.0273850

M3 - Journal article

C2 - 36103504

VL - 17

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 9

M1 - 0273850

ER -

ID: 340324268