Evidence map›Paper›PMID 41041252›Full record

ArticleJournal of family medicine and primary care2025

Reliability and validity of multidimensional poverty index with poverty scorecard in measuring household poverty in rural India.

Nafis Faizi, Absar Ahmad

Abstract read
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Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Nafis FaiziDepartment of Community Medicine, Jawaharlal Nehru Medical College and Hospital, Aligarh Muslim University (AMU), Aligarh, India.
Absar AhmadDepartment of Community Medicine, Jawaharlal Nehru Medical College and Hospital, Aligarh Muslim University (AMU), Aligarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Poverty disempowers people in maintaining, promoting and restoring good health. Simple poverty scorecards (SPS) are commonly used to measure socio-economic status in public health research. Recently, Multidimensional Poverty Index (MPI) has become popular in line with Sustainable Development Goal (SDG) indicator target 1.2. While both SPS and MPI have good potential for measuring poverty in rural India, they have not been compared for reliability. Therefore, this research aims to measure the association of MPI with SPS in rural Aligarh as well as to correlate their scores. Further, the research also aims to determine the validity of MPI with SPS in measuring poverty. Methods: A cross-sectional study was conducted among rural households in rural areas of Aligarh district in the most populated Indian state of Uttar Pradesh from January to July, 2023. Results: While strongly associated, the SPS identified more households as poor (33.8%) when compared to MPI (25.4%) among the 299 randomly selected households in the sample. MPI based scores were correlated with SPS scores with moderate strength (ρ = 0.6) but with poor concordance (τ = 0.4). Conclusion: The MPI has a poorer validity in detecting poverty with a sensitivity of 46.4% and in high poverty scenarios, the predictive values are also poorer.

Indexed as

Multidimensional Poverty Index (MPI)povertyrural IndiaSDGSimple Poverty Scorecard (SPS)socio-economic status,

Identifiers

PMID41041252
PMCPMC12488144

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