Evidence map›Paper›PMID 33481780›Full record

Trial reportPLoS neglected tropical diseases2021

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

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  11. Impact of Key Assumptions About the Population Biology of Soil-Transmitted Helminths on the Sustainable Control of Morbidity.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Robert J HardwickLondon Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, St. Mary's Campus, Imperial College London, London, United Kingdom.ORCID 0000-0001-8778-006X
James E TruscottLondon Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, St. Mary's Campus, Imperial College London, London, United Kingdom.ORCID 0000-0002-2555-7636
William E OswaldFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-5287-2834
Marleen WerkmanLondon Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, St. Mary's Campus, Imperial College London, London, United Kingdom.ORCID 0000-0002-2252-9357
Katherine E HallidayFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0001-5307-2823
Rachel L PullanFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Roy M AndersonLondon Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, St. Mary's Campus, Imperial College London, London, United Kingdom.ORCID 0000-0002-9528-3175
Museum of London · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

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).

Indexed as

Mass Drug AdministrationAdolescentAdultAnimalsChildChild, PreschoolFemaleHelminthiasisHelminthsHumansInfantInfant, NewbornKenyaLarvaMaleMiddle AgedSoil

Identifiers

PMID33481780
PMCPMC7857569
OpenAlexW3121742419

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.