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Comparing estimates of household expenditures between pictorial diaries and surveys in three low- and middle-income countries

In most low- and middle-income countries (LMICs), household out-of-pocket (OOP) health spending constitutes a major source of healthcare financing. Household surveys are commonly used to monitor OOP health spending, but are prone to recall bias and unable to capture seasonal variation, and may under...

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Autores principales: Murphy, Adrianna, Palafox, Benjamin, Chifamba, Jephat, Kruger, Iolanthé M., Ncube, Brian J., Ncube, Tatenda L., Rangarajan, Sumathy, Swart, Elizabeth Catherina, Tsolkile, Lungiswa, Walli-Attaei, Marjan, West, Nicola J., Yeates, Karen E., Yusuf, Salim, McKee, Martin, Hanson, Kara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072456/
https://www.ncbi.nlm.nih.gov/pubmed/37014845
http://dx.doi.org/10.1371/journal.pgph.0001739
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author Murphy, Adrianna
Palafox, Benjamin
Chifamba, Jephat
Kruger, Iolanthé M.
Ncube, Brian J.
Ncube, Tatenda L.
Rangarajan, Sumathy
Swart, Elizabeth Catherina
Tsolkile, Lungiswa
Walli-Attaei, Marjan
West, Nicola J.
Yeates, Karen E.
Yusuf, Salim
McKee, Martin
Hanson, Kara
author_facet Murphy, Adrianna
Palafox, Benjamin
Chifamba, Jephat
Kruger, Iolanthé M.
Ncube, Brian J.
Ncube, Tatenda L.
Rangarajan, Sumathy
Swart, Elizabeth Catherina
Tsolkile, Lungiswa
Walli-Attaei, Marjan
West, Nicola J.
Yeates, Karen E.
Yusuf, Salim
McKee, Martin
Hanson, Kara
author_sort Murphy, Adrianna
collection PubMed
description In most low- and middle-income countries (LMICs), household out-of-pocket (OOP) health spending constitutes a major source of healthcare financing. Household surveys are commonly used to monitor OOP health spending, but are prone to recall bias and unable to capture seasonal variation, and may underestimate expenditure–particularly among households with long-term chronic health conditions. Household expenditure diaries have been developed as an alternative to overcome the limitations of surveys, and pictorial diaries have been proposed where literacy levels may render traditional diary approaches inappropriate. This study compares estimates for general household and chronic healthcare expenditure in South Africa, Tanzania and Zimbabwe derived using survey and pictorial diary approaches. We selected a random sub-sample of 900 households across urban and rural communities participating in the Prospective Urban and Rural Epidemiology study. For a range of general and health-specific categories, OOP expenditure estimates use cross-sectional survey data collected via standardised questionnaire, and data from these same households collected via two-week pictorial diaries repeated four times over 2016–2019. In all countries, average monthly per capita expenditure on food, non-food/non-health items, health, and consequently, total household expenditure reported by pictorial diaries was consistently higher than that reported by surveys (each p<0.001). Differences were greatest for health expenditure. The share of total household expenditure allocated to health also differed by method, accounting for 2% in each country when using survey data, and from 8–20% when using diary data. Our findings suggest that the choice of data collection method may have significant implications for estimating OOP health spending and the burden it places on households. Despite several practical challenges to their implementation, pictorial diaries offer a method to assess potential bias in surveys or triangulate data from multiple sources. We offer some practical guidance when considering the use of pictorial diaries for estimating household expenditure.
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spelling pubmed-100724562023-04-05 Comparing estimates of household expenditures between pictorial diaries and surveys in three low- and middle-income countries Murphy, Adrianna Palafox, Benjamin Chifamba, Jephat Kruger, Iolanthé M. Ncube, Brian J. Ncube, Tatenda L. Rangarajan, Sumathy Swart, Elizabeth Catherina Tsolkile, Lungiswa Walli-Attaei, Marjan West, Nicola J. Yeates, Karen E. Yusuf, Salim McKee, Martin Hanson, Kara PLOS Glob Public Health Research Article In most low- and middle-income countries (LMICs), household out-of-pocket (OOP) health spending constitutes a major source of healthcare financing. Household surveys are commonly used to monitor OOP health spending, but are prone to recall bias and unable to capture seasonal variation, and may underestimate expenditure–particularly among households with long-term chronic health conditions. Household expenditure diaries have been developed as an alternative to overcome the limitations of surveys, and pictorial diaries have been proposed where literacy levels may render traditional diary approaches inappropriate. This study compares estimates for general household and chronic healthcare expenditure in South Africa, Tanzania and Zimbabwe derived using survey and pictorial diary approaches. We selected a random sub-sample of 900 households across urban and rural communities participating in the Prospective Urban and Rural Epidemiology study. For a range of general and health-specific categories, OOP expenditure estimates use cross-sectional survey data collected via standardised questionnaire, and data from these same households collected via two-week pictorial diaries repeated four times over 2016–2019. In all countries, average monthly per capita expenditure on food, non-food/non-health items, health, and consequently, total household expenditure reported by pictorial diaries was consistently higher than that reported by surveys (each p<0.001). Differences were greatest for health expenditure. The share of total household expenditure allocated to health also differed by method, accounting for 2% in each country when using survey data, and from 8–20% when using diary data. Our findings suggest that the choice of data collection method may have significant implications for estimating OOP health spending and the burden it places on households. Despite several practical challenges to their implementation, pictorial diaries offer a method to assess potential bias in surveys or triangulate data from multiple sources. We offer some practical guidance when considering the use of pictorial diaries for estimating household expenditure. Public Library of Science 2023-04-04 /pmc/articles/PMC10072456/ /pubmed/37014845 http://dx.doi.org/10.1371/journal.pgph.0001739 Text en © 2023 Murphy et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Murphy, Adrianna
Palafox, Benjamin
Chifamba, Jephat
Kruger, Iolanthé M.
Ncube, Brian J.
Ncube, Tatenda L.
Rangarajan, Sumathy
Swart, Elizabeth Catherina
Tsolkile, Lungiswa
Walli-Attaei, Marjan
West, Nicola J.
Yeates, Karen E.
Yusuf, Salim
McKee, Martin
Hanson, Kara
Comparing estimates of household expenditures between pictorial diaries and surveys in three low- and middle-income countries
title Comparing estimates of household expenditures between pictorial diaries and surveys in three low- and middle-income countries
title_full Comparing estimates of household expenditures between pictorial diaries and surveys in three low- and middle-income countries
title_fullStr Comparing estimates of household expenditures between pictorial diaries and surveys in three low- and middle-income countries
title_full_unstemmed Comparing estimates of household expenditures between pictorial diaries and surveys in three low- and middle-income countries
title_short Comparing estimates of household expenditures between pictorial diaries and surveys in three low- and middle-income countries
title_sort comparing estimates of household expenditures between pictorial diaries and surveys in three low- and middle-income countries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072456/
https://www.ncbi.nlm.nih.gov/pubmed/37014845
http://dx.doi.org/10.1371/journal.pgph.0001739
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