Cargando…

Predictors of loss to follow-up among adult tuberculosis patients in Southern Ethiopia: a retrospective follow-up study

BACKGROUND: Loss to follow-up (LTFU) from tuberculosis (TB) treatment and care is a major public health problem as patients can be infectious and also may develop a multi-drug resistant TB (MDR-TB). The study aimed to assess whether LTFU differs by the distance TB patients travelled to receive care...

Descripción completa

Detalles Bibliográficos
Autores principales: Watumo, Desta, Mengesha, Melkamu Merid, Gobena, Tesfaye, Gebremichael, Mathewos Alemu, Jerene, Degu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107690/
https://www.ncbi.nlm.nih.gov/pubmed/35568853
http://dx.doi.org/10.1186/s12889-022-13390-8
_version_ 1784708538109526016
author Watumo, Desta
Mengesha, Melkamu Merid
Gobena, Tesfaye
Gebremichael, Mathewos Alemu
Jerene, Degu
author_facet Watumo, Desta
Mengesha, Melkamu Merid
Gobena, Tesfaye
Gebremichael, Mathewos Alemu
Jerene, Degu
author_sort Watumo, Desta
collection PubMed
description BACKGROUND: Loss to follow-up (LTFU) from tuberculosis (TB) treatment and care is a major public health problem as patients can be infectious and also may develop a multi-drug resistant TB (MDR-TB). The study aimed to assess whether LTFU differs by the distance TB patients travelled to receive care from the nearest health facility. METHODS: A total of 402 patient cards of TB patients who received care were reviewed from March 1–30, 2020. The Kaplan-Meir curve with the Log-rank test was used to compare differences in LTFU by the distance travelled to reach to the nearest health facility for TB care. The Cox proportional hazard regression model was used to identify predictors. All statistical tests are declared significant at a p-value< 0.05. RESULTS: A total of 37 patients were LTFU with the incidence rate of 11.26 per 1000 person-months of observations (PMOs) (95% CI: 8.15–15.53). The incidence rate ratio was 12.19 (95% CI: 5.01–35.73) among the groups compared (those who travelled 10 km or more versus those who travelled less than 10 km). Age ≥ 45 years (aHR = 7.71, 95% CI: 1.72, 34.50), educational status (primary schooling, aHR = 3.54, 95% CI: 1.49, 8.40; secondary schooling, aHR = 2.75, 95% CI: 1.08, 7.03), lack of family support (aHR = 2.80, 95% CI: 1.27, 6.19), nutritional support (aHR = 3.40, 95% CI:1.68, 6.89), ≥ 10 km distance to travel to a health facility (aHR = 6.06, 95% CI: 2.33, 15.81) had significantly predicted LTFU from TB treatment and care. CONCLUSIONS: LTFU from adult TB care and treatment was 12 times higher among those who travelled ≥10 km to reach a health facility compared to those who travelled less. To retain adult TB patients in care and ensure appropriate treatment, health professionals and other stakeholders should give due attention to the factors that drive LTFU. We suggest identifying concerns of older patients at admission and those who travel long distance and establish social support platforms that could help people to complete TB treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13390-8.
format Online
Article
Text
id pubmed-9107690
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-91076902022-05-16 Predictors of loss to follow-up among adult tuberculosis patients in Southern Ethiopia: a retrospective follow-up study Watumo, Desta Mengesha, Melkamu Merid Gobena, Tesfaye Gebremichael, Mathewos Alemu Jerene, Degu BMC Public Health Research BACKGROUND: Loss to follow-up (LTFU) from tuberculosis (TB) treatment and care is a major public health problem as patients can be infectious and also may develop a multi-drug resistant TB (MDR-TB). The study aimed to assess whether LTFU differs by the distance TB patients travelled to receive care from the nearest health facility. METHODS: A total of 402 patient cards of TB patients who received care were reviewed from March 1–30, 2020. The Kaplan-Meir curve with the Log-rank test was used to compare differences in LTFU by the distance travelled to reach to the nearest health facility for TB care. The Cox proportional hazard regression model was used to identify predictors. All statistical tests are declared significant at a p-value< 0.05. RESULTS: A total of 37 patients were LTFU with the incidence rate of 11.26 per 1000 person-months of observations (PMOs) (95% CI: 8.15–15.53). The incidence rate ratio was 12.19 (95% CI: 5.01–35.73) among the groups compared (those who travelled 10 km or more versus those who travelled less than 10 km). Age ≥ 45 years (aHR = 7.71, 95% CI: 1.72, 34.50), educational status (primary schooling, aHR = 3.54, 95% CI: 1.49, 8.40; secondary schooling, aHR = 2.75, 95% CI: 1.08, 7.03), lack of family support (aHR = 2.80, 95% CI: 1.27, 6.19), nutritional support (aHR = 3.40, 95% CI:1.68, 6.89), ≥ 10 km distance to travel to a health facility (aHR = 6.06, 95% CI: 2.33, 15.81) had significantly predicted LTFU from TB treatment and care. CONCLUSIONS: LTFU from adult TB care and treatment was 12 times higher among those who travelled ≥10 km to reach a health facility compared to those who travelled less. To retain adult TB patients in care and ensure appropriate treatment, health professionals and other stakeholders should give due attention to the factors that drive LTFU. We suggest identifying concerns of older patients at admission and those who travel long distance and establish social support platforms that could help people to complete TB treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13390-8. BioMed Central 2022-05-14 /pmc/articles/PMC9107690/ /pubmed/35568853 http://dx.doi.org/10.1186/s12889-022-13390-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Watumo, Desta
Mengesha, Melkamu Merid
Gobena, Tesfaye
Gebremichael, Mathewos Alemu
Jerene, Degu
Predictors of loss to follow-up among adult tuberculosis patients in Southern Ethiopia: a retrospective follow-up study
title Predictors of loss to follow-up among adult tuberculosis patients in Southern Ethiopia: a retrospective follow-up study
title_full Predictors of loss to follow-up among adult tuberculosis patients in Southern Ethiopia: a retrospective follow-up study
title_fullStr Predictors of loss to follow-up among adult tuberculosis patients in Southern Ethiopia: a retrospective follow-up study
title_full_unstemmed Predictors of loss to follow-up among adult tuberculosis patients in Southern Ethiopia: a retrospective follow-up study
title_short Predictors of loss to follow-up among adult tuberculosis patients in Southern Ethiopia: a retrospective follow-up study
title_sort predictors of loss to follow-up among adult tuberculosis patients in southern ethiopia: a retrospective follow-up study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107690/
https://www.ncbi.nlm.nih.gov/pubmed/35568853
http://dx.doi.org/10.1186/s12889-022-13390-8
work_keys_str_mv AT watumodesta predictorsoflosstofollowupamongadulttuberculosispatientsinsouthernethiopiaaretrospectivefollowupstudy
AT mengeshamelkamumerid predictorsoflosstofollowupamongadulttuberculosispatientsinsouthernethiopiaaretrospectivefollowupstudy
AT gobenatesfaye predictorsoflosstofollowupamongadulttuberculosispatientsinsouthernethiopiaaretrospectivefollowupstudy
AT gebremichaelmathewosalemu predictorsoflosstofollowupamongadulttuberculosispatientsinsouthernethiopiaaretrospectivefollowupstudy
AT jerenedegu predictorsoflosstofollowupamongadulttuberculosispatientsinsouthernethiopiaaretrospectivefollowupstudy