Assessing the Impact of Multi-Morbidity and Related Constructs on Patient Reported Safety in Primary Care: Generalized Structural Equation Modelling of Observational Data

We aimed to examine the complex relationships between patient safety processes and outcomes and multimorbidity using a comprehensive set of constructs: multimorbidity, polypharmacy, discordant comorbidity (diseases not sharing either pathogenesis nor management), morbidity burden and patient complex...

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Main Authors: Ignacio Ricci-Cabello, Aina María Yañez-Juan, Maria A. Fiol-deRoque, Alfonso Leiva, Joan Llobera Canaves, Fabrice B. R. Parmentier, Jose M. Valderas
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/10/8/1782
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author Ignacio Ricci-Cabello
Aina María Yañez-Juan
Maria A. Fiol-deRoque
Alfonso Leiva
Joan Llobera Canaves
Fabrice B. R. Parmentier
Jose M. Valderas
author_facet Ignacio Ricci-Cabello
Aina María Yañez-Juan
Maria A. Fiol-deRoque
Alfonso Leiva
Joan Llobera Canaves
Fabrice B. R. Parmentier
Jose M. Valderas
author_sort Ignacio Ricci-Cabello
collection DOAJ
description We aimed to examine the complex relationships between patient safety processes and outcomes and multimorbidity using a comprehensive set of constructs: multimorbidity, polypharmacy, discordant comorbidity (diseases not sharing either pathogenesis nor management), morbidity burden and patient complexity. We used cross-sectional data from 4782 patients in 69 primary care centres in Spain. We constructed generalized structural equation models to examine the associations between multimorbidity constructs and patient-reported patient safety (PREOS-PC questionnaire). These associations were modelled through direct and indirect (mediated by increased interactions with healthcare) pathways. For women, a consistent association between higher levels of the multimorbidity constructs and lower levels of patient safety was observed via either pathway. The findings for men replicated these observations for polypharmacy, morbidity burden and patient complexity via indirect pathways. However, direct pathways showed unexpected associations between higher levels of multimorbidity and better safety. The consistent association between multimorbidity constructs and worse patient safety among women makes it advisable to target this group for the development of interventions, with particular attention to the role of comorbidity discordance. Further research, particularly qualitative research, is needed for clarifying the complex associations among men.
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spelling doaj.art-11b23c94083a4d38aa8af0d1110c56782023-11-21T16:16:07ZengMDPI AGJournal of Clinical Medicine2077-03832021-04-01108178210.3390/jcm10081782Assessing the Impact of Multi-Morbidity and Related Constructs on Patient Reported Safety in Primary Care: Generalized Structural Equation Modelling of Observational DataIgnacio Ricci-Cabello0Aina María Yañez-Juan1Maria A. Fiol-deRoque2Alfonso Leiva3Joan Llobera Canaves4Fabrice B. R. Parmentier5Jose M. Valderas6Health Research Institute of the Balearic Islands (IdISBa), Carretera de Valldemossa, 79 Hospital Universitario Son Espases, Edificio S, 07120 Palma, SpainHealth Research Institute of the Balearic Islands (IdISBa), Carretera de Valldemossa, 79 Hospital Universitario Son Espases, Edificio S, 07120 Palma, SpainHealth Research Institute of the Balearic Islands (IdISBa), Carretera de Valldemossa, 79 Hospital Universitario Son Espases, Edificio S, 07120 Palma, SpainHealth Research Institute of the Balearic Islands (IdISBa), Carretera de Valldemossa, 79 Hospital Universitario Son Espases, Edificio S, 07120 Palma, SpainHealth Research Institute of the Balearic Islands (IdISBa), Carretera de Valldemossa, 79 Hospital Universitario Son Espases, Edificio S, 07120 Palma, SpainHealth Research Institute of the Balearic Islands (IdISBa), Carretera de Valldemossa, 79 Hospital Universitario Son Espases, Edificio S, 07120 Palma, SpainHealth Services & Policy Research Group, Exeter Collaboration for Academic Primary Care, NIHR School for Primary Care Research, University of Exeter, Exeter EX1 2HZ, UKWe aimed to examine the complex relationships between patient safety processes and outcomes and multimorbidity using a comprehensive set of constructs: multimorbidity, polypharmacy, discordant comorbidity (diseases not sharing either pathogenesis nor management), morbidity burden and patient complexity. We used cross-sectional data from 4782 patients in 69 primary care centres in Spain. We constructed generalized structural equation models to examine the associations between multimorbidity constructs and patient-reported patient safety (PREOS-PC questionnaire). These associations were modelled through direct and indirect (mediated by increased interactions with healthcare) pathways. For women, a consistent association between higher levels of the multimorbidity constructs and lower levels of patient safety was observed via either pathway. The findings for men replicated these observations for polypharmacy, morbidity burden and patient complexity via indirect pathways. However, direct pathways showed unexpected associations between higher levels of multimorbidity and better safety. The consistent association between multimorbidity constructs and worse patient safety among women makes it advisable to target this group for the development of interventions, with particular attention to the role of comorbidity discordance. Further research, particularly qualitative research, is needed for clarifying the complex associations among men.https://www.mdpi.com/2077-0383/10/8/1782multimorbiditypolypharmacypatient safetyprimary carestructural equation modellatent class analysis
spellingShingle Ignacio Ricci-Cabello
Aina María Yañez-Juan
Maria A. Fiol-deRoque
Alfonso Leiva
Joan Llobera Canaves
Fabrice B. R. Parmentier
Jose M. Valderas
Assessing the Impact of Multi-Morbidity and Related Constructs on Patient Reported Safety in Primary Care: Generalized Structural Equation Modelling of Observational Data
Journal of Clinical Medicine
multimorbidity
polypharmacy
patient safety
primary care
structural equation model
latent class analysis
title Assessing the Impact of Multi-Morbidity and Related Constructs on Patient Reported Safety in Primary Care: Generalized Structural Equation Modelling of Observational Data
title_full Assessing the Impact of Multi-Morbidity and Related Constructs on Patient Reported Safety in Primary Care: Generalized Structural Equation Modelling of Observational Data
title_fullStr Assessing the Impact of Multi-Morbidity and Related Constructs on Patient Reported Safety in Primary Care: Generalized Structural Equation Modelling of Observational Data
title_full_unstemmed Assessing the Impact of Multi-Morbidity and Related Constructs on Patient Reported Safety in Primary Care: Generalized Structural Equation Modelling of Observational Data
title_short Assessing the Impact of Multi-Morbidity and Related Constructs on Patient Reported Safety in Primary Care: Generalized Structural Equation Modelling of Observational Data
title_sort assessing the impact of multi morbidity and related constructs on patient reported safety in primary care generalized structural equation modelling of observational data
topic multimorbidity
polypharmacy
patient safety
primary care
structural equation model
latent class analysis
url https://www.mdpi.com/2077-0383/10/8/1782
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