Evidence map›Paper›PMID 37300553›Full record

ArticleHealth policy and planning2023

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

Daisy Bengey, Anchal Thapa, Kritika Dixit, Raghu Dhital, Bhola Rai, Puskar Paudel, Rajan Paudel, Govind Majhi, Tara Prasad Aryal, Manoj Kumar Sah and 6 more

Abstract read
In one paragraph

Article in Health policy and planning, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

16 authors.

Daisy BengeyDepartment of Tropical Disease Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, United Kingdom.
Anchal ThapaDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, United Kingdom.
Kritika DixitBirat Nepal Medical Trust, Lazimpat, Kathmandu, Ward No. 2, Nepal.
Raghu DhitalBirat Nepal Medical Trust, Lazimpat, Kathmandu, Ward No. 2, Nepal.
Bhola RaiBirat Nepal Medical Trust, Lazimpat, Kathmandu, Ward No. 2, Nepal.
Puskar PaudelBirat Nepal Medical Trust, Lazimpat, Kathmandu, Ward No. 2, Nepal.
Rajan PaudelBirat Nepal Medical Trust, Lazimpat, Kathmandu, Ward No. 2, Nepal.
Govind MajhiBirat Nepal Medical Trust, Lazimpat, Kathmandu, Ward No. 2, Nepal.
Tara Prasad AryalBirat Nepal Medical Trust, Lazimpat, Kathmandu, Ward No. 2, Nepal.
Manoj Kumar SahBirat Nepal Medical Trust, Lazimpat, Kathmandu, Ward No. 2, Nepal.
Ram Narayan PanditBirat Nepal Medical Trust, Lazimpat, Kathmandu, Ward No. 2, Nepal.
Gokul MishraDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, United Kingdom.
Mukti Nath KhanalPlanning Monitoring Evaluation & Research Section, National Tuberculosis Control Center, Thimi, Bhaktapur, Nepal.
Eliud KibuchiMRC/CSO Social and Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, 90 Byres Road, Glasgow G12 8TB, United Kingdom.
Maxine CawsDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, United Kingdom.
Noemia Teixeira de Siqueira-FilhaDepartment of Health Sciences, University of York, Heslington, York YO10 5DD, United Kingdom.ORCID 0000-0003-0730-8561

Funding

Medical Research Council MC_UU_00022/2
6 · The paper itself

Abstract

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.

Indexed as

TuberculosisHealth ExpendituresHumansNepalSocial IsolationSurveys and Questionnaireslongitudinal vs cross-sectional surveytuberculosis and NepalTuberculosis costing

Identifiers

PMID37300553
PMCPMC10394499

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.