A prognostic model predicted deterioration in health-related quality of life in older patients with multimorbidity and polypharmacy

<p><strong>Objectives:</strong> To develop and validate a prognostic model to predict deterioration in health-related quality of life (dHRQoL) in older general practice patients with at least one chronic condition and one chronic prescription.</p> <p><strong>Stud...

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Principais autores: González-González, AI, Meid, AD, Dinh, TS, Blom, JW, van den Akker, M, Elders, PJM, Thiem, U, De Gaudry, DK, Swart, KMA, Rudolf, H, Bosch-Lenders, D, Trampisch, H-J, Meerpohl, JJ, Gerlach, FM, Flaig, B, Kom, G, Snell, KIE, Perera, R, Haefeli, WE, Glasziou, PP, Muth, C
Formato: Journal article
Idioma:English
Publicado em: Elsevier 2020
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author González-González, AI
Meid, AD
Dinh, TS
Blom, JW
van den Akker, M
Elders, PJM
Thiem, U
De Gaudry, DK
Swart, KMA
Rudolf, H
Bosch-Lenders, D
Trampisch, H-J
Meerpohl, JJ
Gerlach, FM
Flaig, B
Kom, G
Snell, KIE
Perera, R
Haefeli, WE
Glasziou, PP
Muth, C
author_facet González-González, AI
Meid, AD
Dinh, TS
Blom, JW
van den Akker, M
Elders, PJM
Thiem, U
De Gaudry, DK
Swart, KMA
Rudolf, H
Bosch-Lenders, D
Trampisch, H-J
Meerpohl, JJ
Gerlach, FM
Flaig, B
Kom, G
Snell, KIE
Perera, R
Haefeli, WE
Glasziou, PP
Muth, C
author_sort González-González, AI
collection OXFORD
description <p><strong>Objectives:</strong> To develop and validate a prognostic model to predict deterioration in health-related quality of life (dHRQoL) in older general practice patients with at least one chronic condition and one chronic prescription.</p> <p><strong>Study Design and Setting:</strong> We used individual participant data from five cluster-randomized trials conducted in the Netherlands and Germany to predict dHRQoL, defined as a decrease in EQ-5D-3 L index score of ≥5% after 6-month follow-up in logistic regression models with stratified intercepts to account for between-study heterogeneity. The model was validated internally and by using internal–external cross-validation (IECV).</p> <p><strong>Results:</strong> In 3,582 patients with complete data, of whom 1,046 (29.2%) showed deterioration in HRQoL, and 12/87 variables were selected that were related to single (chronic) conditions, inappropriate medication, medication underuse, functional status, well-being, and HRQoL. Bootstrap internal validation showed a C-statistic of 0.71 (0.69 to 0.72) and a calibration slope of 0.88 (0.78 to 0.98). In the IECV loop, the model provided a pooled C-statistic of 0.68 (0.65 to 0.70) and calibration-in-the-large of 0 (−0.13 to 0.13). HRQoL/functionality had the strongest prognostic value.</p> <p><strong>Conclusion:</strong> The model performed well in terms of discrimination, calibration, and generalizability and might help clinicians identify older patients at high risk of dHRQoL.</p>
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spelling oxford-uuid:fe2cfc90-df28-46cb-b19f-89d3effc0e622023-07-06T11:17:12ZA prognostic model predicted deterioration in health-related quality of life in older patients with multimorbidity and polypharmacyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:fe2cfc90-df28-46cb-b19f-89d3effc0e62EnglishSymplectic ElementsElsevier2020González-González, AIMeid, ADDinh, TSBlom, JWvan den Akker, MElders, PJMThiem, UDe Gaudry, DKSwart, KMARudolf, HBosch-Lenders, DTrampisch, H-JMeerpohl, JJGerlach, FMFlaig, BKom, GSnell, KIEPerera, RHaefeli, WEGlasziou, PPMuth, C<p><strong>Objectives:</strong> To develop and validate a prognostic model to predict deterioration in health-related quality of life (dHRQoL) in older general practice patients with at least one chronic condition and one chronic prescription.</p> <p><strong>Study Design and Setting:</strong> We used individual participant data from five cluster-randomized trials conducted in the Netherlands and Germany to predict dHRQoL, defined as a decrease in EQ-5D-3 L index score of ≥5% after 6-month follow-up in logistic regression models with stratified intercepts to account for between-study heterogeneity. The model was validated internally and by using internal–external cross-validation (IECV).</p> <p><strong>Results:</strong> In 3,582 patients with complete data, of whom 1,046 (29.2%) showed deterioration in HRQoL, and 12/87 variables were selected that were related to single (chronic) conditions, inappropriate medication, medication underuse, functional status, well-being, and HRQoL. Bootstrap internal validation showed a C-statistic of 0.71 (0.69 to 0.72) and a calibration slope of 0.88 (0.78 to 0.98). In the IECV loop, the model provided a pooled C-statistic of 0.68 (0.65 to 0.70) and calibration-in-the-large of 0 (−0.13 to 0.13). HRQoL/functionality had the strongest prognostic value.</p> <p><strong>Conclusion:</strong> The model performed well in terms of discrimination, calibration, and generalizability and might help clinicians identify older patients at high risk of dHRQoL.</p>
spellingShingle González-González, AI
Meid, AD
Dinh, TS
Blom, JW
van den Akker, M
Elders, PJM
Thiem, U
De Gaudry, DK
Swart, KMA
Rudolf, H
Bosch-Lenders, D
Trampisch, H-J
Meerpohl, JJ
Gerlach, FM
Flaig, B
Kom, G
Snell, KIE
Perera, R
Haefeli, WE
Glasziou, PP
Muth, C
A prognostic model predicted deterioration in health-related quality of life in older patients with multimorbidity and polypharmacy
title A prognostic model predicted deterioration in health-related quality of life in older patients with multimorbidity and polypharmacy
title_full A prognostic model predicted deterioration in health-related quality of life in older patients with multimorbidity and polypharmacy
title_fullStr A prognostic model predicted deterioration in health-related quality of life in older patients with multimorbidity and polypharmacy
title_full_unstemmed A prognostic model predicted deterioration in health-related quality of life in older patients with multimorbidity and polypharmacy
title_short A prognostic model predicted deterioration in health-related quality of life in older patients with multimorbidity and polypharmacy
title_sort prognostic model predicted deterioration in health related quality of life in older patients with multimorbidity and polypharmacy
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