Evidence map›Paper›PMID 42046586›Full record

ArticleCureus2026

Development and Validation of the Healthcare Expenditure and Location Dynamics in Acute Febrile Illness (HEAL-AFI) Tool: A Community-Based Cohort Study With a Special Focus on Dengue and Chikungunya in the Urban Slum of Delhi, India.

Nandini Sharma, Shivani Rao, Madhvi Dhamania, Nidhi Bhatnagar, Himanshu Bachawandia, Mongjam M Singh

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Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

6 authors.

Nandini SharmaCommunity Medicine, Maulana Azad Medical College, New Delhi, IND.
Shivani RaoCommunity Medicine, Maulana Azad Medical College, New Delhi, IND.
Madhvi DhamaniaCommunity Medicine, Maulana Azad Medical College, New Delhi, IND.
Nidhi BhatnagarCommunity Medicine, Maulana Azad Medical College, New Delhi, IND.
Himanshu BachawandiaCommunity Medicine, Maulana Azad Medical College, New Delhi, IND.
Mongjam M SinghCommunity Medicine, Maulana Azad Medical College, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCost-of-illness (COI) studies quantify the economic burden of diseases, yet existing tools often lack standardized cost domains and contextual adaptation. We developed and validated the Cost of Healthcare Expenditure Questionnaire (CHEQ), a generic tool, and its adaptation for acute febrile illness (HEAL-AFI), tailored to dengue and chikungunya in Delhi slum communities. METHODOLOGY: Conducted in a resettlement colony of Northeast Delhi, this study followed a multistage process with five iterative rounds. Round 1 involved item generation after the literature review. In Round 2, eight experts assessed content validity using Lawshe's method. Round 3 reassessed content validity and translated the tool. Round 4 tested face validity and feasibility among 32 participants and eight interviewers. Round 5 evaluated reliability via test-retest after 12 days using Cohen's κ, intraclass correlation coefficients (ICCs), and Cronbach's α. Data were collected on KoboCollect and analyzed in IBM SPSS Statistics for Windows, version 26.0.

resultsExpert review retained 74 items for CHEQ (76 for HEAL-AFI), with CVI improving from 0.78 (Round 2) to 0.92 (Round 3). Face validity demonstrated good clarity and ease of use, with a mean administration time of 24.3 ± 5.1 minutes (T1) and 23.7 ± 4.8 minutes (T2). Reliability was substantial for categorical variables (κ = 0.63-0.79; agreement 72-84%) and excellent for continuous variables (ICC = 0.82-0.94). Internal consistency was high across domains (Cronbach's α = 0.78-0.89).

conclusionCHEQ and HEAL-AFI are validated, reliable, and feasible tools for capturing household healthcare expenditures. CHEQ provides a standardized framework across diseases, while HEAL-AFI contextualizes costs for acute febrile illnesses (AFIs) with geospatial integration. These tools can strengthen COI research and may guide equitable health policy.

Indexed as

cost of illnessdenguedirect costeconomic burdenfeverhealth expenditureindirect costreliabilityurban slumsvalidity

Identifiers

PMID42046586
PMCPMC13110714

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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.