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Patterns and patient factors associated with loss to follow-up in the Muhimbili sickle cell cohort, Tanzania

BACKGROUND: Monitoring patient’s clinical attendance is a crucial means of improving retention in care and treatment programmes. Sickle cell patients’ outcomes are improved by participation in comprehensive care programmes, but these benefits cannot be achieved when patients are lost from clinical c...

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Autores principales: Masamu, Upendo, Sangeda, Raphael Z., Kandonga, Daniel, Ondengo, Jesca, Ndobho, Flora, Mmbando, Bruno, Nkya, Siana, Msami, Khadija, Makani, Julie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737273/
https://www.ncbi.nlm.nih.gov/pubmed/33317526
http://dx.doi.org/10.1186/s12913-020-05998-6
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author Masamu, Upendo
Sangeda, Raphael Z.
Kandonga, Daniel
Ondengo, Jesca
Ndobho, Flora
Mmbando, Bruno
Nkya, Siana
Msami, Khadija
Makani, Julie
author_facet Masamu, Upendo
Sangeda, Raphael Z.
Kandonga, Daniel
Ondengo, Jesca
Ndobho, Flora
Mmbando, Bruno
Nkya, Siana
Msami, Khadija
Makani, Julie
author_sort Masamu, Upendo
collection PubMed
description BACKGROUND: Monitoring patient’s clinical attendance is a crucial means of improving retention in care and treatment programmes. Sickle cell patients’ outcomes are improved by participation in comprehensive care programmes, but these benefits cannot be achieved when patients are lost from clinical care. In this study, patients are defined as loss to follow-up when they did not attend clinic for more than 9 months. Precise information on the retention rate and characteristics of those who are not following their clinic appointments is needed to enable the implementation of interventions that will be effective in increasing the retention to care. METHOD: This was a retrospective study involving sickle cell patients registered in the Muhimbili Sickle Cohort in Tanzania. Descriptive and survival analysis techniques both non-parametric methods (Kaplan-Meier estimator and Log-rank test) and semi-parametric method (Cox’s proportional hazard model), were used. A p-value of 0.05 was considered significant to make an inference from the analysis. RESULTS: A total of 5476 patients were registered in the cohort from 2004 to 2016. Of these, 3350 (58.13%) were actively participating in clinics, while 2126 (41.87%) were inactive, of which 1927 (35.19%) were loss to follow-up. We used data from 2004 to 2014 because between 2015 and 2016, patients were referred to other government hospitals. From the survival analysis results, pediatric (HR: 14.29,95% CI: 11.0071–18.5768, p <  0.001) and children between 5 and 17 years [HR:2.61,95% CI:2.2324–3.0705, p <  0.001] patients were more likely to be loss to follow-up than the adult (18 and above years) patients. It was found that patients with above averages for hematocrit (HR: 2.38, 95% CI: 1.0076–1.0404, p = 0.0039) or mean cell volume (HR: 4.28, (95% CI: 1.0260–1.0598, p < 0.001) were more likely to be loss to follow-up than their counterparts. CONCLUSION: Loss to follow-up is evident in the cohort of patients in long term comprehensive care. It is, therefore, necessary to design interventions that improve patients’ retention. Suggested solutions include refresher training for health care workers and those responsible for patient follow-up on techniques for retaining patients and comprehensive transition programs to prepare patients who are moving from pediatric to adult clinics.
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spelling pubmed-77372732020-12-17 Patterns and patient factors associated with loss to follow-up in the Muhimbili sickle cell cohort, Tanzania Masamu, Upendo Sangeda, Raphael Z. Kandonga, Daniel Ondengo, Jesca Ndobho, Flora Mmbando, Bruno Nkya, Siana Msami, Khadija Makani, Julie BMC Health Serv Res Research Article BACKGROUND: Monitoring patient’s clinical attendance is a crucial means of improving retention in care and treatment programmes. Sickle cell patients’ outcomes are improved by participation in comprehensive care programmes, but these benefits cannot be achieved when patients are lost from clinical care. In this study, patients are defined as loss to follow-up when they did not attend clinic for more than 9 months. Precise information on the retention rate and characteristics of those who are not following their clinic appointments is needed to enable the implementation of interventions that will be effective in increasing the retention to care. METHOD: This was a retrospective study involving sickle cell patients registered in the Muhimbili Sickle Cohort in Tanzania. Descriptive and survival analysis techniques both non-parametric methods (Kaplan-Meier estimator and Log-rank test) and semi-parametric method (Cox’s proportional hazard model), were used. A p-value of 0.05 was considered significant to make an inference from the analysis. RESULTS: A total of 5476 patients were registered in the cohort from 2004 to 2016. Of these, 3350 (58.13%) were actively participating in clinics, while 2126 (41.87%) were inactive, of which 1927 (35.19%) were loss to follow-up. We used data from 2004 to 2014 because between 2015 and 2016, patients were referred to other government hospitals. From the survival analysis results, pediatric (HR: 14.29,95% CI: 11.0071–18.5768, p <  0.001) and children between 5 and 17 years [HR:2.61,95% CI:2.2324–3.0705, p <  0.001] patients were more likely to be loss to follow-up than the adult (18 and above years) patients. It was found that patients with above averages for hematocrit (HR: 2.38, 95% CI: 1.0076–1.0404, p = 0.0039) or mean cell volume (HR: 4.28, (95% CI: 1.0260–1.0598, p < 0.001) were more likely to be loss to follow-up than their counterparts. CONCLUSION: Loss to follow-up is evident in the cohort of patients in long term comprehensive care. It is, therefore, necessary to design interventions that improve patients’ retention. Suggested solutions include refresher training for health care workers and those responsible for patient follow-up on techniques for retaining patients and comprehensive transition programs to prepare patients who are moving from pediatric to adult clinics. BioMed Central 2020-12-14 /pmc/articles/PMC7737273/ /pubmed/33317526 http://dx.doi.org/10.1186/s12913-020-05998-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Masamu, Upendo
Sangeda, Raphael Z.
Kandonga, Daniel
Ondengo, Jesca
Ndobho, Flora
Mmbando, Bruno
Nkya, Siana
Msami, Khadija
Makani, Julie
Patterns and patient factors associated with loss to follow-up in the Muhimbili sickle cell cohort, Tanzania
title Patterns and patient factors associated with loss to follow-up in the Muhimbili sickle cell cohort, Tanzania
title_full Patterns and patient factors associated with loss to follow-up in the Muhimbili sickle cell cohort, Tanzania
title_fullStr Patterns and patient factors associated with loss to follow-up in the Muhimbili sickle cell cohort, Tanzania
title_full_unstemmed Patterns and patient factors associated with loss to follow-up in the Muhimbili sickle cell cohort, Tanzania
title_short Patterns and patient factors associated with loss to follow-up in the Muhimbili sickle cell cohort, Tanzania
title_sort patterns and patient factors associated with loss to follow-up in the muhimbili sickle cell cohort, tanzania
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737273/
https://www.ncbi.nlm.nih.gov/pubmed/33317526
http://dx.doi.org/10.1186/s12913-020-05998-6
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