Cargando…

Comparing cross-sectional and longitudinal approaches to tuberculosis patient cost surveys using Nepalese data

The World Health Organization has supported the development of national tuberculosis (TB) patient cost surveys to quantify the socio-economic impact of TB in high-burden countries. However, methodological differences in the study design (e.g. cross-sectional vs longitudinal) can generate different e...

Descripción completa

Detalles Bibliográficos
Autores principales: Bengey, Daisy, Thapa, Anchal, Dixit, Kritika, Dhital, Raghu, Rai, Bhola, Paudel, Puskar, Paudel, Rajan, Majhi, Govind, Aryal, Tara Prasad, Sah, Manoj Kumar, Pandit, Ram Narayan, Mishra, Gokul, Khanal, Mukti Nath, Kibuchi, Eliud, Caws, Maxine, de Siqueira-Filha, Noemia Teixeira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394499/
https://www.ncbi.nlm.nih.gov/pubmed/37300553
http://dx.doi.org/10.1093/heapol/czad037
_version_ 1785083383966072832
author Bengey, Daisy
Thapa, Anchal
Dixit, Kritika
Dhital, Raghu
Rai, Bhola
Paudel, Puskar
Paudel, Rajan
Majhi, Govind
Aryal, Tara Prasad
Sah, Manoj Kumar
Pandit, Ram Narayan
Mishra, Gokul
Khanal, Mukti Nath
Kibuchi, Eliud
Caws, Maxine
de Siqueira-Filha, Noemia Teixeira
author_facet Bengey, Daisy
Thapa, Anchal
Dixit, Kritika
Dhital, Raghu
Rai, Bhola
Paudel, Puskar
Paudel, Rajan
Majhi, Govind
Aryal, Tara Prasad
Sah, Manoj Kumar
Pandit, Ram Narayan
Mishra, Gokul
Khanal, Mukti Nath
Kibuchi, Eliud
Caws, Maxine
de Siqueira-Filha, Noemia Teixeira
author_sort Bengey, Daisy
collection PubMed
description The World Health Organization has supported the development of national tuberculosis (TB) patient cost surveys to quantify the socio-economic impact of TB in high-burden countries. However, methodological differences in the study design (e.g. cross-sectional vs longitudinal) can generate different estimates making the design and impact evaluation of socio-economic protection strategies difficult. The objective of the study was to compare the socio-economic impacts of TB estimated by applying cross-sectional or longitudinal data collections in Nepal. We analysed the data from a longitudinal costing survey (patients interviewed at three time points) conducted between April 2018 and October 2019. We calculated both mean and median costs from patients interviewed during the intensive (cross-sectional 1) and continuation (cross-sectional 2) phases of treatment. We then compared costs, the prevalence of catastrophic costs and the socio-economic impact of TB generated by each approach. There were significant differences in the costs and social impacts calculated by each approach. The median total cost (intensive plus continuation phases) was significantly higher for the longitudinal compared with cross-sectional 2 (US$119.42 vs 91.63, P < 0.001). The prevalence of food insecurity, social exclusion and patients feeling poorer or much poorer were all significantly higher by applying a longitudinal approach. In conclusion, the longitudinal design captured important aspects of costs and socio-economic impacts, which were missed by applying a cross-sectional approach. If a cross-sectional approach is applied due to resource constraints, our data suggest that the start of the continuation phase is the optimal timing for a single interview. Further research to optimize methodologies to report patient-incurred expenditure during TB diagnosis and treatment is needed.
format Online
Article
Text
id pubmed-10394499
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-103944992023-08-03 Comparing cross-sectional and longitudinal approaches to tuberculosis patient cost surveys using Nepalese data Bengey, Daisy Thapa, Anchal Dixit, Kritika Dhital, Raghu Rai, Bhola Paudel, Puskar Paudel, Rajan Majhi, Govind Aryal, Tara Prasad Sah, Manoj Kumar Pandit, Ram Narayan Mishra, Gokul Khanal, Mukti Nath Kibuchi, Eliud Caws, Maxine de Siqueira-Filha, Noemia Teixeira Health Policy Plan Original Article The World Health Organization has supported the development of national tuberculosis (TB) patient cost surveys to quantify the socio-economic impact of TB in high-burden countries. However, methodological differences in the study design (e.g. cross-sectional vs longitudinal) can generate different estimates making the design and impact evaluation of socio-economic protection strategies difficult. The objective of the study was to compare the socio-economic impacts of TB estimated by applying cross-sectional or longitudinal data collections in Nepal. We analysed the data from a longitudinal costing survey (patients interviewed at three time points) conducted between April 2018 and October 2019. We calculated both mean and median costs from patients interviewed during the intensive (cross-sectional 1) and continuation (cross-sectional 2) phases of treatment. We then compared costs, the prevalence of catastrophic costs and the socio-economic impact of TB generated by each approach. There were significant differences in the costs and social impacts calculated by each approach. The median total cost (intensive plus continuation phases) was significantly higher for the longitudinal compared with cross-sectional 2 (US$119.42 vs 91.63, P < 0.001). The prevalence of food insecurity, social exclusion and patients feeling poorer or much poorer were all significantly higher by applying a longitudinal approach. In conclusion, the longitudinal design captured important aspects of costs and socio-economic impacts, which were missed by applying a cross-sectional approach. If a cross-sectional approach is applied due to resource constraints, our data suggest that the start of the continuation phase is the optimal timing for a single interview. Further research to optimize methodologies to report patient-incurred expenditure during TB diagnosis and treatment is needed. Oxford University Press 2023-06-10 /pmc/articles/PMC10394499/ /pubmed/37300553 http://dx.doi.org/10.1093/heapol/czad037 Text en © The Author(s) 2022. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Bengey, Daisy
Thapa, Anchal
Dixit, Kritika
Dhital, Raghu
Rai, Bhola
Paudel, Puskar
Paudel, Rajan
Majhi, Govind
Aryal, Tara Prasad
Sah, Manoj Kumar
Pandit, Ram Narayan
Mishra, Gokul
Khanal, Mukti Nath
Kibuchi, Eliud
Caws, Maxine
de Siqueira-Filha, Noemia Teixeira
Comparing cross-sectional and longitudinal approaches to tuberculosis patient cost surveys using Nepalese data
title Comparing cross-sectional and longitudinal approaches to tuberculosis patient cost surveys using Nepalese data
title_full Comparing cross-sectional and longitudinal approaches to tuberculosis patient cost surveys using Nepalese data
title_fullStr Comparing cross-sectional and longitudinal approaches to tuberculosis patient cost surveys using Nepalese data
title_full_unstemmed Comparing cross-sectional and longitudinal approaches to tuberculosis patient cost surveys using Nepalese data
title_short Comparing cross-sectional and longitudinal approaches to tuberculosis patient cost surveys using Nepalese data
title_sort comparing cross-sectional and longitudinal approaches to tuberculosis patient cost surveys using nepalese data
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394499/
https://www.ncbi.nlm.nih.gov/pubmed/37300553
http://dx.doi.org/10.1093/heapol/czad037
work_keys_str_mv AT bengeydaisy comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT thapaanchal comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT dixitkritika comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT dhitalraghu comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT raibhola comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT paudelpuskar comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT paudelrajan comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT majhigovind comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT aryaltaraprasad comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT sahmanojkumar comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT panditramnarayan comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT mishragokul comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT khanalmuktinath comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT kibuchieliud comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT cawsmaxine comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata
AT desiqueirafilhanoemiateixeira comparingcrosssectionalandlongitudinalapproachestotuberculosispatientcostsurveysusingnepalesedata