Catalogue of socioeconomic disparities and characteristics of 199+chronic conditions-A nationwide register-based population study

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

Catalogue of socioeconomic disparities and characteristics of 199+chronic conditions-A nationwide register-based population study. / Hvidberg, Michael Falk; Frolich, Anne; Lundstrom, Sanne Lykke.

I: PLoS ONE, Bind 17, Nr. 12, 0278380, 2022.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Hvidberg, MF, Frolich, A & Lundstrom, SL 2022, 'Catalogue of socioeconomic disparities and characteristics of 199+chronic conditions-A nationwide register-based population study', PLoS ONE, bind 17, nr. 12, 0278380. https://doi.org/10.1371/journal.pone.0278380

APA

Hvidberg, M. F., Frolich, A., & Lundstrom, S. L. (2022). Catalogue of socioeconomic disparities and characteristics of 199+chronic conditions-A nationwide register-based population study. PLoS ONE, 17(12), [0278380]. https://doi.org/10.1371/journal.pone.0278380

Vancouver

Hvidberg MF, Frolich A, Lundstrom SL. Catalogue of socioeconomic disparities and characteristics of 199+chronic conditions-A nationwide register-based population study. PLoS ONE. 2022;17(12). 0278380. https://doi.org/10.1371/journal.pone.0278380

Author

Hvidberg, Michael Falk ; Frolich, Anne ; Lundstrom, Sanne Lykke. / Catalogue of socioeconomic disparities and characteristics of 199+chronic conditions-A nationwide register-based population study. I: PLoS ONE. 2022 ; Bind 17, Nr. 12.

Bibtex

@article{81d72cb72a5946ada9eb54d18a288bb8,
title = "Catalogue of socioeconomic disparities and characteristics of 199+chronic conditions-A nationwide register-based population study",
abstract = "Background Real-world information on socioeconomic differences within and between chronic conditions represents an important data source for treatments and decision-makers executing and prioritising healthcare resources. Aims The aim of this study was to estimate the prevalence and mean of socioeconomic disparities from educational, income, and socioeconomic positions of 199 chronic conditions and disease groups, including sex and age group estimates, for use in planning of care services and prioritisation, by healthcare professionals, decision-makers and researchers. Methods The study population includes all Danish residents 16 years and above, alive on 1 January 2013 (n = 4,555,439). The data was established by linking seven national registers encompassing educational achievements, incomes, socioeconomic positions, hospital- and general practice services, and filled-in out-of-hospital prescriptions. The health register data were used to identify the 199+ chronic conditions. Socioeconomic differences were primarily measured as differences in educational prevalence levels from low to high educational achievements using a ratio. Furthermore, multiple binary logistic regression models were carried out to control for potential confounding and residual correlations of the crude estimates. Results The prevalence of having one or more chronic conditions for patients with no educational achievement was 768 per thousand compared to 601.3 for patients with higher educational achievement (ratio 1.3). Across disease groups, the highest educational differences were found within disease group F-mental and behavioural (ratio 2.5), E-endocrine, nutritional and metabolic disease (ratio 2.4), I-diseases of the circulatory system (ratio 2.1) and, K-diseases of the digestive system (ratio 2.1). The highest educational differences among the 29 common diseases were found among schizophrenia (ratio 5.9), hyperkinetic disorders (ratio 5.2), dementia (ratio 4.9), osteoporosis (ratio 3.9), type 2 diabetes (ratio 3.8), chronic obstructive pulmonary disease COPD (ratio 3.3), heart conditions and stroke (ratios ranging from 2.3-3.1). Conclusions A nationwide catalogue of socioeconomic disparities for 199+ chronic conditions and disease groups is catalogued and provided. The catalogue findings underline a large scope of socioeconomic disparities that exist across most chronic conditions. The data offer essential information on the socioeconomic disparities to inform future socially differentiated treatments, healthcare planning, etiological, economic, and other research areas.",
keywords = "CAUSE-SPECIFIC MORTALITY, MODERN WELFARE STATES, REAL-WORLD DATA, INCOME INEQUALITY, GLOBAL BURDEN, HEALTH INEQUALITIES, SYSTEMATIC ANALYSIS, DISABILITY WEIGHTS, 188 COUNTRIES, PRIMARY-CARE",
author = "Hvidberg, {Michael Falk} and Anne Frolich and Lundstrom, {Sanne Lykke}",
year = "2022",
doi = "10.1371/journal.pone.0278380",
language = "English",
volume = "17",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "12",

}

RIS

TY - JOUR

T1 - Catalogue of socioeconomic disparities and characteristics of 199+chronic conditions-A nationwide register-based population study

AU - Hvidberg, Michael Falk

AU - Frolich, Anne

AU - Lundstrom, Sanne Lykke

PY - 2022

Y1 - 2022

N2 - Background Real-world information on socioeconomic differences within and between chronic conditions represents an important data source for treatments and decision-makers executing and prioritising healthcare resources. Aims The aim of this study was to estimate the prevalence and mean of socioeconomic disparities from educational, income, and socioeconomic positions of 199 chronic conditions and disease groups, including sex and age group estimates, for use in planning of care services and prioritisation, by healthcare professionals, decision-makers and researchers. Methods The study population includes all Danish residents 16 years and above, alive on 1 January 2013 (n = 4,555,439). The data was established by linking seven national registers encompassing educational achievements, incomes, socioeconomic positions, hospital- and general practice services, and filled-in out-of-hospital prescriptions. The health register data were used to identify the 199+ chronic conditions. Socioeconomic differences were primarily measured as differences in educational prevalence levels from low to high educational achievements using a ratio. Furthermore, multiple binary logistic regression models were carried out to control for potential confounding and residual correlations of the crude estimates. Results The prevalence of having one or more chronic conditions for patients with no educational achievement was 768 per thousand compared to 601.3 for patients with higher educational achievement (ratio 1.3). Across disease groups, the highest educational differences were found within disease group F-mental and behavioural (ratio 2.5), E-endocrine, nutritional and metabolic disease (ratio 2.4), I-diseases of the circulatory system (ratio 2.1) and, K-diseases of the digestive system (ratio 2.1). The highest educational differences among the 29 common diseases were found among schizophrenia (ratio 5.9), hyperkinetic disorders (ratio 5.2), dementia (ratio 4.9), osteoporosis (ratio 3.9), type 2 diabetes (ratio 3.8), chronic obstructive pulmonary disease COPD (ratio 3.3), heart conditions and stroke (ratios ranging from 2.3-3.1). Conclusions A nationwide catalogue of socioeconomic disparities for 199+ chronic conditions and disease groups is catalogued and provided. The catalogue findings underline a large scope of socioeconomic disparities that exist across most chronic conditions. The data offer essential information on the socioeconomic disparities to inform future socially differentiated treatments, healthcare planning, etiological, economic, and other research areas.

AB - Background Real-world information on socioeconomic differences within and between chronic conditions represents an important data source for treatments and decision-makers executing and prioritising healthcare resources. Aims The aim of this study was to estimate the prevalence and mean of socioeconomic disparities from educational, income, and socioeconomic positions of 199 chronic conditions and disease groups, including sex and age group estimates, for use in planning of care services and prioritisation, by healthcare professionals, decision-makers and researchers. Methods The study population includes all Danish residents 16 years and above, alive on 1 January 2013 (n = 4,555,439). The data was established by linking seven national registers encompassing educational achievements, incomes, socioeconomic positions, hospital- and general practice services, and filled-in out-of-hospital prescriptions. The health register data were used to identify the 199+ chronic conditions. Socioeconomic differences were primarily measured as differences in educational prevalence levels from low to high educational achievements using a ratio. Furthermore, multiple binary logistic regression models were carried out to control for potential confounding and residual correlations of the crude estimates. Results The prevalence of having one or more chronic conditions for patients with no educational achievement was 768 per thousand compared to 601.3 for patients with higher educational achievement (ratio 1.3). Across disease groups, the highest educational differences were found within disease group F-mental and behavioural (ratio 2.5), E-endocrine, nutritional and metabolic disease (ratio 2.4), I-diseases of the circulatory system (ratio 2.1) and, K-diseases of the digestive system (ratio 2.1). The highest educational differences among the 29 common diseases were found among schizophrenia (ratio 5.9), hyperkinetic disorders (ratio 5.2), dementia (ratio 4.9), osteoporosis (ratio 3.9), type 2 diabetes (ratio 3.8), chronic obstructive pulmonary disease COPD (ratio 3.3), heart conditions and stroke (ratios ranging from 2.3-3.1). Conclusions A nationwide catalogue of socioeconomic disparities for 199+ chronic conditions and disease groups is catalogued and provided. The catalogue findings underline a large scope of socioeconomic disparities that exist across most chronic conditions. The data offer essential information on the socioeconomic disparities to inform future socially differentiated treatments, healthcare planning, etiological, economic, and other research areas.

KW - CAUSE-SPECIFIC MORTALITY

KW - MODERN WELFARE STATES

KW - REAL-WORLD DATA

KW - INCOME INEQUALITY

KW - GLOBAL BURDEN

KW - HEALTH INEQUALITIES

KW - SYSTEMATIC ANALYSIS

KW - DISABILITY WEIGHTS

KW - 188 COUNTRIES

KW - PRIMARY-CARE

U2 - 10.1371/journal.pone.0278380

DO - 10.1371/journal.pone.0278380

M3 - Journal article

C2 - 36584039

VL - 17

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 12

M1 - 0278380

ER -

ID: 339387214