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Patient- and provider-related determinants of generic and specific health-related quality of life of patients with chronic systolic heart failure in primary care: a cross-sectional study

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Patient- and provider-related determinants of generic and specific health-related quality of life of patients with chronic systolic heart failure in primary care: a cross-sectional study. / Peters-Klimm, Frank; Kunz, Cornelia U.; Laux, Gunter et al.
In: Health and Quality of Life Outcomes, Vol. 8, 98, 13.09.2010.

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Peters-Klimm F, Kunz CU, Laux G, Szecsenyi J, Müller-Tasch T. Patient- and provider-related determinants of generic and specific health-related quality of life of patients with chronic systolic heart failure in primary care: a cross-sectional study. Health and Quality of Life Outcomes. 2010 Sept 13;8:98. doi: 10.1186/1477-7525-8-98

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@article{a5d830d708b248ae8ab8717f9df25c01,
title = "Patient- and provider-related determinants of generic and specific health-related quality of life of patients with chronic systolic heart failure in primary care: a cross-sectional study",
abstract = "BACKGROUND: Identifying the determinants of health-related quality of life (HRQOL) in patients with systolic heart failure (CHF) is rare in primary care; studies often lack a defined sample, a comprehensive set of variables and clear HRQOL outcomes. Our aim was to explore the impactof such a set of variables on generic and disease-specific HRQOL.METHODS: In a cross-sectional study, we evaluated data from 318 eligible patients. HRQOL measures used were the SF-36 (Physical/Mental Component Summary, PCS/MCS) and four domains of the KCCQ (Functional status, Quality of life, Self efficacy, Social limitation). Potential determinants (instruments) included socio-demographical variables (age, sex, socio-economic status: SES), clinical (e.g. NYHA class, LVEF, NT-proBNP levels, multimorbidity (CIRS-G)), depression (PHQ-9), behavioural (EHFScBs and prescribing) and provider (e.g. list size of and number. of GPs in practice) variables. We performed linear (mixed) regression modelling accounting for clustering.RESULTS: Patients were predominantly male (71.4%), had a mean age of 69.0 (SD: 10.4) years, 12.9% had major depression, according to PHQ-9. Across the final regression models, eleven determinants explained 27% to 55% of variance (frequency across models, lowest/highest β): Depression (6×, -0.3/-0.7); age (4×, -0.1/-0.2); multimorbidity (4×, 0.1); list size (2×, -0.2); SES (2×, 0.1/0.2); and each of the following once: no. of GPs per practice, NYHA class, COPD, history of CABG surgery, aldosterone antagonist medication and Self-care (0.1/-0.2/-0.2/0.1/-0.1/-0.2).CONCLUSIONS: HRQOL was determined by a variety of established individual variables. Additionally the presence of multimorbidity burden, behavioural (self-care) and provider determinants may influence clinicians in tailoring care to individual patients and highlight future research priorities.",
keywords = "Aged, Chronic Disease, Cross-Sectional Studies, Female, Germany, Health Status, Heart Failure, Systolic, Humans, Linear Models, Male, Middle Aged, Outcome and Process Assessment (Health Care), Psychometrics, Quality of Life, Questionnaires, Severity of Illness Index, Socioeconomic Factors",
author = "Frank Peters-Klimm and Kunz, {Cornelia U.} and Gunter Laux and Joachim Szecsenyi and Thomas M{\"u}ller-Tasch",
year = "2010",
month = sep,
day = "13",
doi = "10.1186/1477-7525-8-98",
language = "English",
volume = "8",
journal = "Health and Quality of Life Outcomes",
publisher = "BioMed Central",

}

RIS

TY - JOUR

T1 - Patient- and provider-related determinants of generic and specific health-related quality of life of patients with chronic systolic heart failure in primary care

T2 - a cross-sectional study

AU - Peters-Klimm, Frank

AU - Kunz, Cornelia U.

AU - Laux, Gunter

AU - Szecsenyi, Joachim

AU - Müller-Tasch, Thomas

PY - 2010/9/13

Y1 - 2010/9/13

N2 - BACKGROUND: Identifying the determinants of health-related quality of life (HRQOL) in patients with systolic heart failure (CHF) is rare in primary care; studies often lack a defined sample, a comprehensive set of variables and clear HRQOL outcomes. Our aim was to explore the impactof such a set of variables on generic and disease-specific HRQOL.METHODS: In a cross-sectional study, we evaluated data from 318 eligible patients. HRQOL measures used were the SF-36 (Physical/Mental Component Summary, PCS/MCS) and four domains of the KCCQ (Functional status, Quality of life, Self efficacy, Social limitation). Potential determinants (instruments) included socio-demographical variables (age, sex, socio-economic status: SES), clinical (e.g. NYHA class, LVEF, NT-proBNP levels, multimorbidity (CIRS-G)), depression (PHQ-9), behavioural (EHFScBs and prescribing) and provider (e.g. list size of and number. of GPs in practice) variables. We performed linear (mixed) regression modelling accounting for clustering.RESULTS: Patients were predominantly male (71.4%), had a mean age of 69.0 (SD: 10.4) years, 12.9% had major depression, according to PHQ-9. Across the final regression models, eleven determinants explained 27% to 55% of variance (frequency across models, lowest/highest β): Depression (6×, -0.3/-0.7); age (4×, -0.1/-0.2); multimorbidity (4×, 0.1); list size (2×, -0.2); SES (2×, 0.1/0.2); and each of the following once: no. of GPs per practice, NYHA class, COPD, history of CABG surgery, aldosterone antagonist medication and Self-care (0.1/-0.2/-0.2/0.1/-0.1/-0.2).CONCLUSIONS: HRQOL was determined by a variety of established individual variables. Additionally the presence of multimorbidity burden, behavioural (self-care) and provider determinants may influence clinicians in tailoring care to individual patients and highlight future research priorities.

AB - BACKGROUND: Identifying the determinants of health-related quality of life (HRQOL) in patients with systolic heart failure (CHF) is rare in primary care; studies often lack a defined sample, a comprehensive set of variables and clear HRQOL outcomes. Our aim was to explore the impactof such a set of variables on generic and disease-specific HRQOL.METHODS: In a cross-sectional study, we evaluated data from 318 eligible patients. HRQOL measures used were the SF-36 (Physical/Mental Component Summary, PCS/MCS) and four domains of the KCCQ (Functional status, Quality of life, Self efficacy, Social limitation). Potential determinants (instruments) included socio-demographical variables (age, sex, socio-economic status: SES), clinical (e.g. NYHA class, LVEF, NT-proBNP levels, multimorbidity (CIRS-G)), depression (PHQ-9), behavioural (EHFScBs and prescribing) and provider (e.g. list size of and number. of GPs in practice) variables. We performed linear (mixed) regression modelling accounting for clustering.RESULTS: Patients were predominantly male (71.4%), had a mean age of 69.0 (SD: 10.4) years, 12.9% had major depression, according to PHQ-9. Across the final regression models, eleven determinants explained 27% to 55% of variance (frequency across models, lowest/highest β): Depression (6×, -0.3/-0.7); age (4×, -0.1/-0.2); multimorbidity (4×, 0.1); list size (2×, -0.2); SES (2×, 0.1/0.2); and each of the following once: no. of GPs per practice, NYHA class, COPD, history of CABG surgery, aldosterone antagonist medication and Self-care (0.1/-0.2/-0.2/0.1/-0.1/-0.2).CONCLUSIONS: HRQOL was determined by a variety of established individual variables. Additionally the presence of multimorbidity burden, behavioural (self-care) and provider determinants may influence clinicians in tailoring care to individual patients and highlight future research priorities.

KW - Aged

KW - Chronic Disease

KW - Cross-Sectional Studies

KW - Female

KW - Germany

KW - Health Status

KW - Heart Failure, Systolic

KW - Humans

KW - Linear Models

KW - Male

KW - Middle Aged

KW - Outcome and Process Assessment (Health Care)

KW - Psychometrics

KW - Quality of Life

KW - Questionnaires

KW - Severity of Illness Index

KW - Socioeconomic Factors

U2 - 10.1186/1477-7525-8-98

DO - 10.1186/1477-7525-8-98

M3 - Journal article

C2 - 20831837

VL - 8

JO - Health and Quality of Life Outcomes

JF - Health and Quality of Life Outcomes

M1 - 98

ER -