Cargando…

Using an integrated COC index and multilevel measurements to verify the care outcome of patients with multiple chronic conditions

BACKGROUND: The increasing prevalence of multiple chronic conditions has accentuated the importance of coordinating and integrating health care services. Patients with better continuity of care (COC) have a lower utilization rate of emergency department (ED) services, lower hospitalization and bette...

Descripción completa

Detalles Bibliográficos
Autores principales: Chan, Chien-Lung, You, Huey-Jen, Huang, Hsin-Tsung, Ting, Hsien-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3529188/
https://www.ncbi.nlm.nih.gov/pubmed/23157982
http://dx.doi.org/10.1186/1472-6963-12-405
_version_ 1782253883232354304
author Chan, Chien-Lung
You, Huey-Jen
Huang, Hsin-Tsung
Ting, Hsien-Wei
author_facet Chan, Chien-Lung
You, Huey-Jen
Huang, Hsin-Tsung
Ting, Hsien-Wei
author_sort Chan, Chien-Lung
collection PubMed
description BACKGROUND: The increasing prevalence of multiple chronic conditions has accentuated the importance of coordinating and integrating health care services. Patients with better continuity of care (COC) have a lower utilization rate of emergency department (ED) services, lower hospitalization and better care outcomes. Previous COC studies have focused on the care outcome of patients with a single chronic condition or that of physician-patient relationships; few studies have investigated the care outcome of patients with multiple chronic conditions. Using multi-chronic patients as subjects, this study proposes an integrated continuity of care (ICOC) index to verify the association between COC and care outcomes for two scopes of chronic conditions, at physician and medical facility levels. METHODS: This study used a dataset of 280,840 subjects, obtained from the Longitudinal Health Insurance Database (LHID 2005), compiled by the National Health Research Institutes, of the National Health Insurance Bureau of Taiwan. Principal Component Analysis (PCA) was used to integrate the indices of density, dispersion and sequence into ICOC to measure COC outcomes - the utilization rate of ED services and hospitalization. A Generalized Estimating Equations model was used to verify the care outcomes. RESULTS: We discovered that the higher the COC at medical facility level, the lower the utilization rate of ED services and hospitalization for patients; by contrast, the higher the COC at physician level, the higher the utilization rate of ED services (odds ratio > 1; Exp(β) = 2.116) and hospitalization (odds ratio > 1; Exp(β) = 1.688). When only those patients with major chronic conditions with the highest number of medical visits were considered, it was found that the higher the COC at both medical facility and physician levels, the lower the utilization rate of ED services and hospitalization. CONCLUSIONS: The study shows that ICOC is more stable than single indices and it can be widely used to measure the care outcomes of different chronic conditions to accumulate empirical evidence. Concentrated care of multi-chronic patients by a single physician often results in unsatisfactory care outcomes. This highlights the need for referral mechanisms and integration of specialties inside or outside medical facilities, in order to optimize patient-centered care.
format Online
Article
Text
id pubmed-3529188
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-35291882013-01-03 Using an integrated COC index and multilevel measurements to verify the care outcome of patients with multiple chronic conditions Chan, Chien-Lung You, Huey-Jen Huang, Hsin-Tsung Ting, Hsien-Wei BMC Health Serv Res Research Article BACKGROUND: The increasing prevalence of multiple chronic conditions has accentuated the importance of coordinating and integrating health care services. Patients with better continuity of care (COC) have a lower utilization rate of emergency department (ED) services, lower hospitalization and better care outcomes. Previous COC studies have focused on the care outcome of patients with a single chronic condition or that of physician-patient relationships; few studies have investigated the care outcome of patients with multiple chronic conditions. Using multi-chronic patients as subjects, this study proposes an integrated continuity of care (ICOC) index to verify the association between COC and care outcomes for two scopes of chronic conditions, at physician and medical facility levels. METHODS: This study used a dataset of 280,840 subjects, obtained from the Longitudinal Health Insurance Database (LHID 2005), compiled by the National Health Research Institutes, of the National Health Insurance Bureau of Taiwan. Principal Component Analysis (PCA) was used to integrate the indices of density, dispersion and sequence into ICOC to measure COC outcomes - the utilization rate of ED services and hospitalization. A Generalized Estimating Equations model was used to verify the care outcomes. RESULTS: We discovered that the higher the COC at medical facility level, the lower the utilization rate of ED services and hospitalization for patients; by contrast, the higher the COC at physician level, the higher the utilization rate of ED services (odds ratio > 1; Exp(β) = 2.116) and hospitalization (odds ratio > 1; Exp(β) = 1.688). When only those patients with major chronic conditions with the highest number of medical visits were considered, it was found that the higher the COC at both medical facility and physician levels, the lower the utilization rate of ED services and hospitalization. CONCLUSIONS: The study shows that ICOC is more stable than single indices and it can be widely used to measure the care outcomes of different chronic conditions to accumulate empirical evidence. Concentrated care of multi-chronic patients by a single physician often results in unsatisfactory care outcomes. This highlights the need for referral mechanisms and integration of specialties inside or outside medical facilities, in order to optimize patient-centered care. BioMed Central 2012-11-19 /pmc/articles/PMC3529188/ /pubmed/23157982 http://dx.doi.org/10.1186/1472-6963-12-405 Text en Copyright ©2012 Chan et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chan, Chien-Lung
You, Huey-Jen
Huang, Hsin-Tsung
Ting, Hsien-Wei
Using an integrated COC index and multilevel measurements to verify the care outcome of patients with multiple chronic conditions
title Using an integrated COC index and multilevel measurements to verify the care outcome of patients with multiple chronic conditions
title_full Using an integrated COC index and multilevel measurements to verify the care outcome of patients with multiple chronic conditions
title_fullStr Using an integrated COC index and multilevel measurements to verify the care outcome of patients with multiple chronic conditions
title_full_unstemmed Using an integrated COC index and multilevel measurements to verify the care outcome of patients with multiple chronic conditions
title_short Using an integrated COC index and multilevel measurements to verify the care outcome of patients with multiple chronic conditions
title_sort using an integrated coc index and multilevel measurements to verify the care outcome of patients with multiple chronic conditions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3529188/
https://www.ncbi.nlm.nih.gov/pubmed/23157982
http://dx.doi.org/10.1186/1472-6963-12-405
work_keys_str_mv AT chanchienlung usinganintegratedcocindexandmultilevelmeasurementstoverifythecareoutcomeofpatientswithmultiplechronicconditions
AT youhueyjen usinganintegratedcocindexandmultilevelmeasurementstoverifythecareoutcomeofpatientswithmultiplechronicconditions
AT huanghsintsung usinganintegratedcocindexandmultilevelmeasurementstoverifythecareoutcomeofpatientswithmultiplechronicconditions
AT tinghsienwei usinganintegratedcocindexandmultilevelmeasurementstoverifythecareoutcomeofpatientswithmultiplechronicconditions