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How do risk preferences relate to malaria care-seeking behavior and the acceptability of a new health technology in Nigeria?
BACKGROUND: To reduce the burden of disease from malaria, innovative approaches are needed to engender behavior change. One unobservable, but fundamental trait—preferences for risk—may influence individuals’ willingness to adopt new health technologies. We explore the association of risk preferences...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4162956/ https://www.ncbi.nlm.nih.gov/pubmed/25192615 http://dx.doi.org/10.1186/1472-6963-14-374 |
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author | Liu, Jenny Modrek, Sepideh Anyanti, Jennifer Nwokolo, Ernest De La Cruz, Anna Schatzkin, Eric Isiguzo, Chinwoke Ujuju, Chinazo Montagu, Dominic |
author_facet | Liu, Jenny Modrek, Sepideh Anyanti, Jennifer Nwokolo, Ernest De La Cruz, Anna Schatzkin, Eric Isiguzo, Chinwoke Ujuju, Chinazo Montagu, Dominic |
author_sort | Liu, Jenny |
collection | PubMed |
description | BACKGROUND: To reduce the burden of disease from malaria, innovative approaches are needed to engender behavior change. One unobservable, but fundamental trait—preferences for risk—may influence individuals’ willingness to adopt new health technologies. We explore the association of risk preferences with malaria care-seeking behavior and the acceptability of malaria rapid diagnostic tests (RDTs) to inform RDT scale-up plans. METHODS: In Oyo State, Nigeria, adult customers purchasing anti-malarial medications at selected drug shops took surveys and received an RDT as they exited. After an initial risk preference assessment via a simple lottery game choice, individuals were given their RDT result and treatment advice, and called four days later to assess treatment adherence. We used bivariable and multivariable regression analysis to assess the association of risk game choices with malaria care-seeking behaviors and RDT acceptability. RESULTS: Of 448 respondents, 63.2% chose the lottery game with zero variance in expected payout, 27.9% chose the game with low variance, and 8.9% chose the game with high variance. Compared to participants who chose lower variance games, individuals choosing higher variance games were older, less educated, more likely to be male, and were more likely to patronize lower quality drug shops, seek care immediately, and report complete disability due to their illness. In contrast, individuals choosing lower variance games were more likely to follow the correct treatment directions and were more likely to report an increase in their willingness to pay for an RDT compared to other risk groups, our two measures of RDT acceptability. Differences in estimated associations between risk game choices and selected care-seeking behaviors remained after controlling sociodemographic confounders. CONCLUSIONS: The uptake of health diagnostic information in terms of translating the RDT experience into willingness to pay for an RDT and treatment adherence to test results may vary according to risk preferences. Hence, health promotion communications may want to be crafted bearing in mind differences in uptake among people of different risk preferences to encourage wider RDT adoption and more rational malaria treatment. Estimates will serve as the basis for power calculations for an expanded study. |
format | Online Article Text |
id | pubmed-4162956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41629562014-09-14 How do risk preferences relate to malaria care-seeking behavior and the acceptability of a new health technology in Nigeria? Liu, Jenny Modrek, Sepideh Anyanti, Jennifer Nwokolo, Ernest De La Cruz, Anna Schatzkin, Eric Isiguzo, Chinwoke Ujuju, Chinazo Montagu, Dominic BMC Health Serv Res Research Article BACKGROUND: To reduce the burden of disease from malaria, innovative approaches are needed to engender behavior change. One unobservable, but fundamental trait—preferences for risk—may influence individuals’ willingness to adopt new health technologies. We explore the association of risk preferences with malaria care-seeking behavior and the acceptability of malaria rapid diagnostic tests (RDTs) to inform RDT scale-up plans. METHODS: In Oyo State, Nigeria, adult customers purchasing anti-malarial medications at selected drug shops took surveys and received an RDT as they exited. After an initial risk preference assessment via a simple lottery game choice, individuals were given their RDT result and treatment advice, and called four days later to assess treatment adherence. We used bivariable and multivariable regression analysis to assess the association of risk game choices with malaria care-seeking behaviors and RDT acceptability. RESULTS: Of 448 respondents, 63.2% chose the lottery game with zero variance in expected payout, 27.9% chose the game with low variance, and 8.9% chose the game with high variance. Compared to participants who chose lower variance games, individuals choosing higher variance games were older, less educated, more likely to be male, and were more likely to patronize lower quality drug shops, seek care immediately, and report complete disability due to their illness. In contrast, individuals choosing lower variance games were more likely to follow the correct treatment directions and were more likely to report an increase in their willingness to pay for an RDT compared to other risk groups, our two measures of RDT acceptability. Differences in estimated associations between risk game choices and selected care-seeking behaviors remained after controlling sociodemographic confounders. CONCLUSIONS: The uptake of health diagnostic information in terms of translating the RDT experience into willingness to pay for an RDT and treatment adherence to test results may vary according to risk preferences. Hence, health promotion communications may want to be crafted bearing in mind differences in uptake among people of different risk preferences to encourage wider RDT adoption and more rational malaria treatment. Estimates will serve as the basis for power calculations for an expanded study. BioMed Central 2014-09-05 /pmc/articles/PMC4162956/ /pubmed/25192615 http://dx.doi.org/10.1186/1472-6963-14-374 Text en © Liu et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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. |
spellingShingle | Research Article Liu, Jenny Modrek, Sepideh Anyanti, Jennifer Nwokolo, Ernest De La Cruz, Anna Schatzkin, Eric Isiguzo, Chinwoke Ujuju, Chinazo Montagu, Dominic How do risk preferences relate to malaria care-seeking behavior and the acceptability of a new health technology in Nigeria? |
title | How do risk preferences relate to malaria care-seeking behavior and the acceptability of a new health technology in Nigeria? |
title_full | How do risk preferences relate to malaria care-seeking behavior and the acceptability of a new health technology in Nigeria? |
title_fullStr | How do risk preferences relate to malaria care-seeking behavior and the acceptability of a new health technology in Nigeria? |
title_full_unstemmed | How do risk preferences relate to malaria care-seeking behavior and the acceptability of a new health technology in Nigeria? |
title_short | How do risk preferences relate to malaria care-seeking behavior and the acceptability of a new health technology in Nigeria? |
title_sort | how do risk preferences relate to malaria care-seeking behavior and the acceptability of a new health technology in nigeria? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4162956/ https://www.ncbi.nlm.nih.gov/pubmed/25192615 http://dx.doi.org/10.1186/1472-6963-14-374 |
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