Individual adherence to mass drug administration in neglected tropical disease control: A probability model conditional on past behaviour.
We present a general framework which describes the systematic (binary) scenario of individuals either taking treatment or not for any reason, over the course of mass drug administration (MDA)-which we refer to as 'adherence' and 'non-adherence'. The probability models developed c...
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ftdoajarticles:oai:doaj.org/article:ab216dfa910b4607ae9bbd41932a944d 2023-05-15T15:10:37+02:00 Individual adherence to mass drug administration in neglected tropical disease control: A probability model conditional on past behaviour. Robert J Hardwick James E Truscott William E Oswald Marleen Werkman Katherine E Halliday Rachel L Pullan Roy M Anderson 2021-01-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0009112 https://doaj.org/article/ab216dfa910b4607ae9bbd41932a944d EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0009112 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0009112 https://doaj.org/article/ab216dfa910b4607ae9bbd41932a944d PLoS Neglected Tropical Diseases, Vol 15, Iss 1, p e0009112 (2021) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2021 ftdoajarticles https://doi.org/10.1371/journal.pntd.0009112 2022-12-31T09:40:52Z We present a general framework which describes the systematic (binary) scenario of individuals either taking treatment or not for any reason, over the course of mass drug administration (MDA)-which we refer to as 'adherence' and 'non-adherence'. The probability models developed can be informed by observed adherence behaviour as well as employed to explore how different patterns influence the impact of MDA programmes, by the use of mathematical models of transmission and control. We demonstrate the interpretative value of the developed probability model employing a dataset collected in the TUMIKIA project, a randomised trial of deworming strategies to control soil-transmitted helminths (STH) by MDA conducted in coastal Kenya. We stratify our analysis by age and sex, although the framework which we introduce here may be readily adapted to accommodate other stratifications. Our findings include the detection of specific patterns of non-adherence in all age groups to varying extents. This is particularly apparent in men of ages 30+. We then demonstrate the use of the probability model in stochastic individual-based simulations by running two example forecasts for the elimination of STH transmission employing MDA within the TUMIKIA trial setting with different adherence patterns. This suggested a substantial reduction in the probability of elimination (between 23-43%) when comparing observed adherence patterns with an assumption of independence, with important implications for programmes. The results here demonstrate the considerable impact and utility of considering non-adherence on the success of MDA programmes to control neglected tropical diseases (NTDs). Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 15 1 e0009112 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
spellingShingle |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Robert J Hardwick James E Truscott William E Oswald Marleen Werkman Katherine E Halliday Rachel L Pullan Roy M Anderson Individual adherence to mass drug administration in neglected tropical disease control: A probability model conditional on past behaviour. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
We present a general framework which describes the systematic (binary) scenario of individuals either taking treatment or not for any reason, over the course of mass drug administration (MDA)-which we refer to as 'adherence' and 'non-adherence'. The probability models developed can be informed by observed adherence behaviour as well as employed to explore how different patterns influence the impact of MDA programmes, by the use of mathematical models of transmission and control. We demonstrate the interpretative value of the developed probability model employing a dataset collected in the TUMIKIA project, a randomised trial of deworming strategies to control soil-transmitted helminths (STH) by MDA conducted in coastal Kenya. We stratify our analysis by age and sex, although the framework which we introduce here may be readily adapted to accommodate other stratifications. Our findings include the detection of specific patterns of non-adherence in all age groups to varying extents. This is particularly apparent in men of ages 30+. We then demonstrate the use of the probability model in stochastic individual-based simulations by running two example forecasts for the elimination of STH transmission employing MDA within the TUMIKIA trial setting with different adherence patterns. This suggested a substantial reduction in the probability of elimination (between 23-43%) when comparing observed adherence patterns with an assumption of independence, with important implications for programmes. The results here demonstrate the considerable impact and utility of considering non-adherence on the success of MDA programmes to control neglected tropical diseases (NTDs). |
format |
Article in Journal/Newspaper |
author |
Robert J Hardwick James E Truscott William E Oswald Marleen Werkman Katherine E Halliday Rachel L Pullan Roy M Anderson |
author_facet |
Robert J Hardwick James E Truscott William E Oswald Marleen Werkman Katherine E Halliday Rachel L Pullan Roy M Anderson |
author_sort |
Robert J Hardwick |
title |
Individual adherence to mass drug administration in neglected tropical disease control: A probability model conditional on past behaviour. |
title_short |
Individual adherence to mass drug administration in neglected tropical disease control: A probability model conditional on past behaviour. |
title_full |
Individual adherence to mass drug administration in neglected tropical disease control: A probability model conditional on past behaviour. |
title_fullStr |
Individual adherence to mass drug administration in neglected tropical disease control: A probability model conditional on past behaviour. |
title_full_unstemmed |
Individual adherence to mass drug administration in neglected tropical disease control: A probability model conditional on past behaviour. |
title_sort |
individual adherence to mass drug administration in neglected tropical disease control: a probability model conditional on past behaviour. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doi.org/10.1371/journal.pntd.0009112 https://doaj.org/article/ab216dfa910b4607ae9bbd41932a944d |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 15, Iss 1, p e0009112 (2021) |
op_relation |
https://doi.org/10.1371/journal.pntd.0009112 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0009112 https://doaj.org/article/ab216dfa910b4607ae9bbd41932a944d |
op_doi |
https://doi.org/10.1371/journal.pntd.0009112 |
container_title |
PLOS Neglected Tropical Diseases |
container_volume |
15 |
container_issue |
1 |
container_start_page |
e0009112 |
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1766341606767591424 |