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Continuity of care of Swiss residents aged 50+: a longitudinal study using claims data

BACKGROUND: Continuity of care (COC) should be measured for healthcare quality monitoring and evaluation and is a key process indicator for integrated care. Measurement of COC using routinely collected data is widespread, but there is no consensus on which indicator to use and the relevant time hori...

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Autores principales: Nicolet, Anna, Peytremann-Bridevaux, Isabelle, Wagner, Joël, Perraudin, Clémence, Bagnoud, Christophe, Marti, Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241030/
https://www.ncbi.nlm.nih.gov/pubmed/37440841
http://dx.doi.org/10.1136/ihj-2021-000105
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author Nicolet, Anna
Peytremann-Bridevaux, Isabelle
Wagner, Joël
Perraudin, Clémence
Bagnoud, Christophe
Marti, Joachim
author_facet Nicolet, Anna
Peytremann-Bridevaux, Isabelle
Wagner, Joël
Perraudin, Clémence
Bagnoud, Christophe
Marti, Joachim
author_sort Nicolet, Anna
collection PubMed
description BACKGROUND: Continuity of care (COC) should be measured for healthcare quality monitoring and evaluation and is a key process indicator for integrated care. Measurement of COC using routinely collected data is widespread, but there is no consensus on which indicator to use and the relevant time horizon to apply. Information about COC is especially warranted in highly fragmented healthcare systems, such as in Switzerland. Our study aimed to compare COC measures in Swiss residents aged 50+ obtained with various indices and time horizons. METHODS: Using insurance claims data, we computed and compared several commonly used visit-based Continuity of Care Indices (COCIs): Bice-Boxerman Index, Usual Provider of Care, Herfindahl-Hirschman Index, Modified, Modified Continuity Index and Modified Continuity Index, based on all doctor visits and on primary care (PC) visits only. Indices were computed over short (1 year) and medium (4 years) terms. RESULTS: The mean indices based on all visits varied between 0.51 and 0.77, while PC indices presented less variation with a median of 1.00 for all but one index. Indices focusing on a variety of individual providers decreased with time horizon, while indices focusing on the overall number of visits and providers showed the opposite trend. These findings suggest fundamental differences in the interpretation of COCIs. CONCLUSIONS: Broad COC appeared moderately low in Switzerland, although comparable to other countries, and PC COC was close to one. The choice of indices and time horizon influenced their interpretation. Understanding these differences is key to select the appropriate index for the monitoring of COC.
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spelling pubmed-102410302023-07-12 Continuity of care of Swiss residents aged 50+: a longitudinal study using claims data Nicolet, Anna Peytremann-Bridevaux, Isabelle Wagner, Joël Perraudin, Clémence Bagnoud, Christophe Marti, Joachim Integr Healthc J Short Report BACKGROUND: Continuity of care (COC) should be measured for healthcare quality monitoring and evaluation and is a key process indicator for integrated care. Measurement of COC using routinely collected data is widespread, but there is no consensus on which indicator to use and the relevant time horizon to apply. Information about COC is especially warranted in highly fragmented healthcare systems, such as in Switzerland. Our study aimed to compare COC measures in Swiss residents aged 50+ obtained with various indices and time horizons. METHODS: Using insurance claims data, we computed and compared several commonly used visit-based Continuity of Care Indices (COCIs): Bice-Boxerman Index, Usual Provider of Care, Herfindahl-Hirschman Index, Modified, Modified Continuity Index and Modified Continuity Index, based on all doctor visits and on primary care (PC) visits only. Indices were computed over short (1 year) and medium (4 years) terms. RESULTS: The mean indices based on all visits varied between 0.51 and 0.77, while PC indices presented less variation with a median of 1.00 for all but one index. Indices focusing on a variety of individual providers decreased with time horizon, while indices focusing on the overall number of visits and providers showed the opposite trend. These findings suggest fundamental differences in the interpretation of COCIs. CONCLUSIONS: Broad COC appeared moderately low in Switzerland, although comparable to other countries, and PC COC was close to one. The choice of indices and time horizon influenced their interpretation. Understanding these differences is key to select the appropriate index for the monitoring of COC. BMJ Publishing Group 2022-03-24 /pmc/articles/PMC10241030/ /pubmed/37440841 http://dx.doi.org/10.1136/ihj-2021-000105 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Short Report
Nicolet, Anna
Peytremann-Bridevaux, Isabelle
Wagner, Joël
Perraudin, Clémence
Bagnoud, Christophe
Marti, Joachim
Continuity of care of Swiss residents aged 50+: a longitudinal study using claims data
title Continuity of care of Swiss residents aged 50+: a longitudinal study using claims data
title_full Continuity of care of Swiss residents aged 50+: a longitudinal study using claims data
title_fullStr Continuity of care of Swiss residents aged 50+: a longitudinal study using claims data
title_full_unstemmed Continuity of care of Swiss residents aged 50+: a longitudinal study using claims data
title_short Continuity of care of Swiss residents aged 50+: a longitudinal study using claims data
title_sort continuity of care of swiss residents aged 50+: a longitudinal study using claims data
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241030/
https://www.ncbi.nlm.nih.gov/pubmed/37440841
http://dx.doi.org/10.1136/ihj-2021-000105
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