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Predictors of health care drop-out in an inception cohort of patients with early onset rheumatoid arthritis

BACKGROUND: RA patients who eventually dropped out of treatment and out of the health care system had potentially disastrous consequences for their health-related quality-of-life outcomes. Objectives of the study were to identify predictors of health care drop out (HDO) in an inception and ongoing c...

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Autores principales: Contreras-Yáñez, Irazú, Pascual-Ramos, Virginia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5534114/
https://www.ncbi.nlm.nih.gov/pubmed/28754110
http://dx.doi.org/10.1186/s12891-017-1670-6
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author Contreras-Yáñez, Irazú
Pascual-Ramos, Virginia
author_facet Contreras-Yáñez, Irazú
Pascual-Ramos, Virginia
author_sort Contreras-Yáñez, Irazú
collection PubMed
description BACKGROUND: RA patients who eventually dropped out of treatment and out of the health care system had potentially disastrous consequences for their health-related quality-of-life outcomes. Objectives of the study were to identify predictors of health care drop out (HDO) in an inception and ongoing cohort of patients with recent onset RA. METHODS: Charts from patients attending an early arthritis clinic from February 2004 to December 2015, and standardized follow-up evaluations were reviewed. Patients with HDO (cases) were defined when they did not return back to the clinic for a schedule visit for at least one year. Persistence with therapy was defined as length of time patients complied with RA-treatment. A case-control nested within a cohort design was used to compare baseline and cumulative (up to HDO or equivalent follow-up) variables between cases and paired controls (patients compliant with scheduled visits). Cox regression analysis was used to investigate predictors of HDO. The study was approved by the Institutional Review Board and patients gave written informed consent to have their data published. RESULTS: Data from 170 patients (89.4% female, [mean±SD] age: 38.2±12.6 years) with ≥1 year of follow-up were analyzed; up to December 2015, (median, interquartile rage) follow-up was 86.6 months (43.2–123) during which 35 (20.6%) patients had HDO after 41.1 months (12.1–58.7). Baseline and cumulative variables related to disease activity, treatment and persistence with therapy entered regression models; cumulative number of flares, number of disease-modifying anti-rheumatic drugs /patient and persistence <50% emerged as predictors of HDO. Five cases returned back after (median, range) drop out time of 3.8 years (2.3–5.8); they exhibited higher disability and poorer function than paired controls and outcomes were sustained up to their last follow-up. CONCLUSIONS: In a real clinical setting of an EAC, failure to control disease activity, intensive treatment and poor persistence with therapy predicted HDO. Abandonment of health care had a negative impact on patient outcomes and was sustained even after health care was reinitiated.
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spelling pubmed-55341142017-08-03 Predictors of health care drop-out in an inception cohort of patients with early onset rheumatoid arthritis Contreras-Yáñez, Irazú Pascual-Ramos, Virginia BMC Musculoskelet Disord Research Article BACKGROUND: RA patients who eventually dropped out of treatment and out of the health care system had potentially disastrous consequences for their health-related quality-of-life outcomes. Objectives of the study were to identify predictors of health care drop out (HDO) in an inception and ongoing cohort of patients with recent onset RA. METHODS: Charts from patients attending an early arthritis clinic from February 2004 to December 2015, and standardized follow-up evaluations were reviewed. Patients with HDO (cases) were defined when they did not return back to the clinic for a schedule visit for at least one year. Persistence with therapy was defined as length of time patients complied with RA-treatment. A case-control nested within a cohort design was used to compare baseline and cumulative (up to HDO or equivalent follow-up) variables between cases and paired controls (patients compliant with scheduled visits). Cox regression analysis was used to investigate predictors of HDO. The study was approved by the Institutional Review Board and patients gave written informed consent to have their data published. RESULTS: Data from 170 patients (89.4% female, [mean±SD] age: 38.2±12.6 years) with ≥1 year of follow-up were analyzed; up to December 2015, (median, interquartile rage) follow-up was 86.6 months (43.2–123) during which 35 (20.6%) patients had HDO after 41.1 months (12.1–58.7). Baseline and cumulative variables related to disease activity, treatment and persistence with therapy entered regression models; cumulative number of flares, number of disease-modifying anti-rheumatic drugs /patient and persistence <50% emerged as predictors of HDO. Five cases returned back after (median, range) drop out time of 3.8 years (2.3–5.8); they exhibited higher disability and poorer function than paired controls and outcomes were sustained up to their last follow-up. CONCLUSIONS: In a real clinical setting of an EAC, failure to control disease activity, intensive treatment and poor persistence with therapy predicted HDO. Abandonment of health care had a negative impact on patient outcomes and was sustained even after health care was reinitiated. BioMed Central 2017-07-28 /pmc/articles/PMC5534114/ /pubmed/28754110 http://dx.doi.org/10.1186/s12891-017-1670-6 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Contreras-Yáñez, Irazú
Pascual-Ramos, Virginia
Predictors of health care drop-out in an inception cohort of patients with early onset rheumatoid arthritis
title Predictors of health care drop-out in an inception cohort of patients with early onset rheumatoid arthritis
title_full Predictors of health care drop-out in an inception cohort of patients with early onset rheumatoid arthritis
title_fullStr Predictors of health care drop-out in an inception cohort of patients with early onset rheumatoid arthritis
title_full_unstemmed Predictors of health care drop-out in an inception cohort of patients with early onset rheumatoid arthritis
title_short Predictors of health care drop-out in an inception cohort of patients with early onset rheumatoid arthritis
title_sort predictors of health care drop-out in an inception cohort of patients with early onset rheumatoid arthritis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5534114/
https://www.ncbi.nlm.nih.gov/pubmed/28754110
http://dx.doi.org/10.1186/s12891-017-1670-6
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