Previously submitted to: JMIR Research Protocols (no longer under consideration since Apr 01, 2024)
Date Submitted: Mar 7, 2024
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
The effect of Health System, Risk Factors and Service Coverage on Health Status in selected HDI countries: A protocol based on comprehensive Econometric Analysis
ABSTRACT
Background:
Health status at the macro level is influenced by many factors, including health system, risk factors and service coverage. Existing literature often overlooks the combined effect of these factors. Quantification and comprehensive representation of the complex health domains and data availability on relevant health indicators are significant challenges to macro-level research. Understanding health outcomes at the macro-level is imperative as it facilitates policy and decision-makers in deciding upon viable, prioritised, and efficient mechanisms to improve the health status of a nation.
Objective:
The proposed study aims to assess the effect of health systems, risk factors and service coverage on the health status of selected countries through econometric analysis and examine the progress of these countries towards specific health-related sustainable development goals.
Methods:
The study utilises panel data comprising selected countries from 2015 to 2021. The study shall quantify the complex health constructs such as ‘Health status’, ‘Health System’, ‘Health Risk Factors’ and ‘Health Service Coverage’ using the underlying indicators as per the global reference list 2018 by the World Health Organisation. The annual data on the indicators shall be obtained from multiple authentic sources. We shall compute the composite index for the above health constructs by employing UNDP methodology for data normalisation, principal component analysis for weight determination and inverse normalised Euclidean distance formula for aggregation. Following that, we shall estimate the compound annual growth rate of the health indices from 2015 to 2021 to understand the trend growth and forecast values up to 2025. Analysis of variance and post-hoc analysis will assess differences in health indices across groups based on the human development index. Panel data regression modelling shall evaluate the effect of Health System, Health Risk Factors and Health Service Coverage on Health status. Furthermore, convergence and divergence in health-related sustainable development goal indicators will be examined using the approach developed by Phillips and Sul.
Results:
The research protocol was reviewed and approved in the Doctoral Committee meeting held on 6th July 2021, and ethical approval was obtained from the Institute Ethics Committee on 3rd January 2022. We shall undertake objective-wise statistical analysis using a panel dataset of 100 countries from 2015-21.
Conclusions:
Index construction for health domains like health system, risk factors, service coverage, and health status improves communication of vital health information, expediting monitoring of health programs and policy interventions. Analyzing predictors of health status is crucial for identifying significant indicators and formulating targeted improvement strategies, aiding cross-country collaboration and disease prevention efforts. The study contributes to global health equity and sustainable development.
Citation
