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Assessment of the effects of methodological choice in continuity of care research: a real-world example with dyslipidaemia cohort

OBJECTIVE: To determine if the choice of methodological elements affects the results in continuity of care studies. DESIGN: This is a retrospective cohort study. The association between continuity of care and clinical outcome was investigated using the Continuity of Care Index. The association was e...

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Autores principales: Choo, Eunjung, Choi, Eunyoung, Lee, Juhee, Siachalinga, Linda, Jang, Eun Jin, Lee, Iyn-Hyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719189/
https://www.ncbi.nlm.nih.gov/pubmed/35171110
http://dx.doi.org/10.1136/bmjopen-2021-053140
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author Choo, Eunjung
Choi, Eunyoung
Lee, Juhee
Siachalinga, Linda
Jang, Eun Jin
Lee, Iyn-Hyang
author_facet Choo, Eunjung
Choi, Eunyoung
Lee, Juhee
Siachalinga, Linda
Jang, Eun Jin
Lee, Iyn-Hyang
author_sort Choo, Eunjung
collection PubMed
description OBJECTIVE: To determine if the choice of methodological elements affects the results in continuity of care studies. DESIGN: This is a retrospective cohort study. The association between continuity of care and clinical outcome was investigated using the Continuity of Care Index. The association was explored in 12 scenarios based on four definitions of the relative timing of continuity and outcome measurements in three populations (three Ps × four Ts). SETTING: National Health Insurance claims from all primary and secondary care facilities in South Korea between 2007 and 2015. PARTICIPANTS: Participants were patients diagnosed with dyslipidaemia, made ≥2 ambulatory visits and were newly prescribed with ≥1 antihyperlipidaemic agent at an ambulatory setting in 2008. Three study populations were defined based on the number of ambulatory visits: 10 084 patients in population 1 (P1), 8454 in population 2 (P2) and 4754 in population 3 (P3). MAIN OUTCOME MEASURE: Hospitalisation related to one of the four atherosclerotic cardiovascular diseases, including myocardial infarction, stable or unstable angina, ischaemic stroke and transient ischaemic attack. RESULTS: Concurrent measure of continuity and outcome (T1) showed a significantly higher risk of hospitalisation (adjusted HRs: 2.73–3.07, p<0.0001) in the low continuity of care group, whereas T2, which measured continuity until the outcome occurred, showed no risk difference between the continuity of care groups. T3, which measured continuity as a time-varying variable, had adjusted HRs of 1.31–1.55 (p<0.05), and T4, measuring continuity for a predefined period and measuring outcomes in the remaining period, had adjusted HRs of 1.34–1.46 (p<0.05) in the low continuity of care. Within each temporal relationship, the effect estimates became more substantial as the inclusion criteria became stricter. CONCLUSIONS: The study design in continuity of care studies should be planned carefully because the results are sensitive to the temporal relationship between continuity and outcome and the population selection criteria.
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spelling pubmed-87191892022-01-12 Assessment of the effects of methodological choice in continuity of care research: a real-world example with dyslipidaemia cohort Choo, Eunjung Choi, Eunyoung Lee, Juhee Siachalinga, Linda Jang, Eun Jin Lee, Iyn-Hyang BMJ Open Health Services Research OBJECTIVE: To determine if the choice of methodological elements affects the results in continuity of care studies. DESIGN: This is a retrospective cohort study. The association between continuity of care and clinical outcome was investigated using the Continuity of Care Index. The association was explored in 12 scenarios based on four definitions of the relative timing of continuity and outcome measurements in three populations (three Ps × four Ts). SETTING: National Health Insurance claims from all primary and secondary care facilities in South Korea between 2007 and 2015. PARTICIPANTS: Participants were patients diagnosed with dyslipidaemia, made ≥2 ambulatory visits and were newly prescribed with ≥1 antihyperlipidaemic agent at an ambulatory setting in 2008. Three study populations were defined based on the number of ambulatory visits: 10 084 patients in population 1 (P1), 8454 in population 2 (P2) and 4754 in population 3 (P3). MAIN OUTCOME MEASURE: Hospitalisation related to one of the four atherosclerotic cardiovascular diseases, including myocardial infarction, stable or unstable angina, ischaemic stroke and transient ischaemic attack. RESULTS: Concurrent measure of continuity and outcome (T1) showed a significantly higher risk of hospitalisation (adjusted HRs: 2.73–3.07, p<0.0001) in the low continuity of care group, whereas T2, which measured continuity until the outcome occurred, showed no risk difference between the continuity of care groups. T3, which measured continuity as a time-varying variable, had adjusted HRs of 1.31–1.55 (p<0.05), and T4, measuring continuity for a predefined period and measuring outcomes in the remaining period, had adjusted HRs of 1.34–1.46 (p<0.05) in the low continuity of care. Within each temporal relationship, the effect estimates became more substantial as the inclusion criteria became stricter. CONCLUSIONS: The study design in continuity of care studies should be planned carefully because the results are sensitive to the temporal relationship between continuity and outcome and the population selection criteria. BMJ Publishing Group 2021-12-30 /pmc/articles/PMC8719189/ /pubmed/35171110 http://dx.doi.org/10.1136/bmjopen-2021-053140 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Services Research
Choo, Eunjung
Choi, Eunyoung
Lee, Juhee
Siachalinga, Linda
Jang, Eun Jin
Lee, Iyn-Hyang
Assessment of the effects of methodological choice in continuity of care research: a real-world example with dyslipidaemia cohort
title Assessment of the effects of methodological choice in continuity of care research: a real-world example with dyslipidaemia cohort
title_full Assessment of the effects of methodological choice in continuity of care research: a real-world example with dyslipidaemia cohort
title_fullStr Assessment of the effects of methodological choice in continuity of care research: a real-world example with dyslipidaemia cohort
title_full_unstemmed Assessment of the effects of methodological choice in continuity of care research: a real-world example with dyslipidaemia cohort
title_short Assessment of the effects of methodological choice in continuity of care research: a real-world example with dyslipidaemia cohort
title_sort assessment of the effects of methodological choice in continuity of care research: a real-world example with dyslipidaemia cohort
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719189/
https://www.ncbi.nlm.nih.gov/pubmed/35171110
http://dx.doi.org/10.1136/bmjopen-2021-053140
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