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Applying the integrated behavioural model to identify predictors of utilisation of state-funded health insurance in Khyber Pakhtunkhwa province, Pakistan


Article Information

Title: Applying the integrated behavioural model to identify predictors of utilisation of state-funded health insurance in Khyber Pakhtunkhwa province, Pakistan

Authors: Junaid Ur Rehman Siddiqui, Waqas Hameed, Mahnoor Fatima, Shifa Salman Habib, Kiran Sohail Azeemi, Ali Hussaini, Asma Altaf Hussain Merchant, Adil Haider, Sameen Siddiqi

Journal: Journal of Pakistan Medical Association

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
X 2023-07-01 2024-09-30
X 2022-07-01 2023-06-30
X 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30
W 2012-07-01 2020-06-30
X 2011-05-13 2012-06-30
Y 1900-01-01 2005-06-30

Publisher: Pakistan Medical Association.

Country: Pakistan

Year: 2024

Volume: 74

Issue: 11 (Supple-11)

Language: en

DOI: 10.47391/JPMA.SCPP-09

Categories

Abstract

Objective: To utilize the integrated behavioural model (IBM) for identifying predictors of utilization of state-funded healthinsurance in Khyber-Pakhtunkhwa province, Pakistan.Methods: Using a cross-sectional design, the household survey was conducted across ten districts of the KP province duringNov 22-Feb 23 which included a total of 1750 households. Exploratory factor analysis (EFA) and confirmatory factor analysis(CFA) were used to identify and validate the emerging factors, respectively. Structural equation modelling (SEM) was usedto validate the causal relationships in the final model.Results: Six factors were identified through EFA namely, Perception of Financial Protection, Perceived Benefits around SehatCard Plus Programme (SCP-P), Perceived Norm around SCP-P, Personal Agency to use SCP-P, Intention to use SCP-P, andKnowledge of SCP-P. Factors’ reliability and validity were established using CFA with coefficients > 0.7.The final structuralmodel yielded a good fit with a Root Mean Squared Error of Approximation (RMSEA) <0.06 and Comparative Fit Index (CFA)>0.97. Perception of financial protection (B=-0.3) is inversely related to how people viewed the benefits of using SCP. Inother words, the more people feel financially protected, the fewer benefits they see in the SCP-P. People's intention to useSCP in the future was mostly influenced by two factor: first, whether they felt using SCP was the norm (B= 0.6) or expectedbehaviour in the society like by friends and family, and second, whether they believed using SCP would be beneficial (B=0.5). People's actual use of SCP in the past year was dependant on intention to use the programme (B=0.2), their knowledgeas to how much they know about it (B=0.2), and their personal ability or control over using it (B=0.3).Conclusion: The analyses guide SCP-P’s communication and engagement strategy, emphasizing that programme effortsshould focus on promoting positive perceptions and norms surrounding SCP, highlighting its benefits, providing educationand information to enhance knowledge about SCP, and empowering individuals with a sense of personal agency to improveSCP utilization in the province.Keywords: Integrated Behavioural Model (IBM), Health Insurance Utilization. Behaviour Model Validation, StructuralEquation Modelling (SEM), Perception of Financial Protection.


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