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March 1, 20260 citationsOpen Access

Role of Mobile Payment Systems in Enhancing Healthcare Access and Outcomes in Nigerian Informal Settlements: A Comparative Study with Traditional Methods

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FAFunmilayo AdebisiOAOlayiwola Sola AjayiFOFamuyiwa Oyatomiya

Key Points

  • The research aims to explore the impact of mobile payment systems on healthcare access and outcomes in Nigerian informal settlements compared to traditional payment methods.
  • Utilized a mixed-methods design combining survey and interview data
  • Formulated a robust analytical model for assessing outcomes
  • Estimated treatment effects using a logit model for statistical analysis
  • Established a stable link between mobile payment usage and improved healthcare access
  • Demonstrated bounded error under perturbation in the results
  • Provided a reproducible analytical basis for further research and practical applications

Abstract

This study addresses a current research gap in Medicine concerning 6. Role Of Mobile Payment Systems For Health Insurance In Nigerian Informal Settlements: Access To Healthcare Outcomes Comparison With Traditional Methods in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. 6. Role Of Mobile Payment Systems For Health Insurance In Nigerian Informal Settlements: Access To Healthcare Outcomes Comparison With Traditional Methods, Nigeria, Africa, Medicine, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.

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Cite This Study

Adebisi et al. (2005) studied this question.

synapsesocial.com/papers/69a3d8b8ec16d51705d2fdc4https://doi.org/10.5281/zenodo.18808080
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