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Analysis of reasons for loss to follow up in a prospective study in Chandigarh, India and impact from telecom changes
OBJECTIVE: Mobile phones are used in research studies, to enroll and follow-up participants, collect data, and implement mHealth initiatives. We conducted a longitudinal study in a birth cohort, where infants were required to make four scheduled visits by 12 months of age. Families of those failing...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600768/ https://www.ncbi.nlm.nih.gov/pubmed/34794507 http://dx.doi.org/10.1186/s13104-021-05837-9 |
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author | Mathew, Joseph L. Patel, Pooja N. Wagner, Abram L. Suri, Vanita Bharti, Bhavneet Carlson, Bradley F. Boulton, Matthew L. |
author_facet | Mathew, Joseph L. Patel, Pooja N. Wagner, Abram L. Suri, Vanita Bharti, Bhavneet Carlson, Bradley F. Boulton, Matthew L. |
author_sort | Mathew, Joseph L. |
collection | PubMed |
description | OBJECTIVE: Mobile phones are used in research studies, to enroll and follow-up participants, collect data, and implement mHealth initiatives. We conducted a longitudinal study in a birth cohort, where infants were required to make four scheduled visits by 12 months of age. Families of those failing to attend scheduled follow-up visits, were contacted telephonically to ascertain the reasons, which were categorized as: not interested to continue participating, migrated, phone disconnected due to telecom change, or other reason. RESULTS: A total of 413 mother-infant dyads were enrolled. The overall attrition was 56%, with majority occurring at the first follow-up visit. This temporally coincided with a telecom service provider announcing strong incentives to switch providers. Attrition monotonically decreased at subsequent visits. The reasons were: moved away (13%), no longer interested (8%), phone disconnected (7%), and multiple other reasons (28%), the majority of whom had unreachable phones. Those who remained in the study and those lost to follow-up were similar on most demographic variables. Among common reasons for attrition in cohort studies, we experienced a new dimension introduced by telecom changes. These findings underscore the need to consider unexpected reasons for attrition in longitudinal studies, and design more robust methods to follow-up participants. |
format | Online Article Text |
id | pubmed-8600768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86007682021-11-19 Analysis of reasons for loss to follow up in a prospective study in Chandigarh, India and impact from telecom changes Mathew, Joseph L. Patel, Pooja N. Wagner, Abram L. Suri, Vanita Bharti, Bhavneet Carlson, Bradley F. Boulton, Matthew L. BMC Res Notes Research Note OBJECTIVE: Mobile phones are used in research studies, to enroll and follow-up participants, collect data, and implement mHealth initiatives. We conducted a longitudinal study in a birth cohort, where infants were required to make four scheduled visits by 12 months of age. Families of those failing to attend scheduled follow-up visits, were contacted telephonically to ascertain the reasons, which were categorized as: not interested to continue participating, migrated, phone disconnected due to telecom change, or other reason. RESULTS: A total of 413 mother-infant dyads were enrolled. The overall attrition was 56%, with majority occurring at the first follow-up visit. This temporally coincided with a telecom service provider announcing strong incentives to switch providers. Attrition monotonically decreased at subsequent visits. The reasons were: moved away (13%), no longer interested (8%), phone disconnected (7%), and multiple other reasons (28%), the majority of whom had unreachable phones. Those who remained in the study and those lost to follow-up were similar on most demographic variables. Among common reasons for attrition in cohort studies, we experienced a new dimension introduced by telecom changes. These findings underscore the need to consider unexpected reasons for attrition in longitudinal studies, and design more robust methods to follow-up participants. BioMed Central 2021-11-18 /pmc/articles/PMC8600768/ /pubmed/34794507 http://dx.doi.org/10.1186/s13104-021-05837-9 Text en © The Author(s) 2021 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 Note Mathew, Joseph L. Patel, Pooja N. Wagner, Abram L. Suri, Vanita Bharti, Bhavneet Carlson, Bradley F. Boulton, Matthew L. Analysis of reasons for loss to follow up in a prospective study in Chandigarh, India and impact from telecom changes |
title | Analysis of reasons for loss to follow up in a prospective study in Chandigarh, India and impact from telecom changes |
title_full | Analysis of reasons for loss to follow up in a prospective study in Chandigarh, India and impact from telecom changes |
title_fullStr | Analysis of reasons for loss to follow up in a prospective study in Chandigarh, India and impact from telecom changes |
title_full_unstemmed | Analysis of reasons for loss to follow up in a prospective study in Chandigarh, India and impact from telecom changes |
title_short | Analysis of reasons for loss to follow up in a prospective study in Chandigarh, India and impact from telecom changes |
title_sort | analysis of reasons for loss to follow up in a prospective study in chandigarh, india and impact from telecom changes |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600768/ https://www.ncbi.nlm.nih.gov/pubmed/34794507 http://dx.doi.org/10.1186/s13104-021-05837-9 |
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