Bachelorarbeit, 2010
37 Seiten
1.0 Background
1.1 The history of the Kassena-Nankana District Mutual Health Insurance Scheme
1.2 Problem Statement
1.3 General objectives
1.4 Justification
1.5 Hypothesis
1.6 Scope and expected outcome
2.0 INTRODUCTION
2.1 Insurance
2.2 Critiques of the NHIS
2.3 MEANS OF GENERATING INCOME TO SUSTAIN A SCHEME
2.4 Chapter summary
3.0 RESEARCH METHODOLOGIES
3.1 The research design
3.2 Qualitative data technique
3.3 Quantitative data technique
3.4 The population of the study
3.5 The Sample Size of the Study
3.6 Data collection techniques
3.7 Chapter summary
4.0 RESEARCH FINDINGS, ANALYSIS AND DISCURSIONS
4.1 Background of the respondents
4.2 Membership profile
4.3 Designing a model for the single premium calculation
4.4 The sufficiency of the net single premium to provide for the claim
4.5 The probability that the net single premium will cover the claim (feasibility)
4.6 Chapter summary
5.0 Introduction
5.1 Summary of findings
5.2 Recommendations
5.3 Chapter Summary
This research evaluates the performance of the National Health Insurance Scheme (NHIS) within the Kassena-Nankana District, specifically focusing on the feasibility of implementing a single premium system to ensure long-term financial sustainability for the scheme over a decade.
Continuous case
Let GH₵1.00 be the average cost of paying a client’s bill by the scheme in Kassena-Nankana for 10 years from issue. Since death or withdrawal occurs at random future life times, the claim has a random present value ( Z̅x)
Z̅x= e-δT
Where δ= force of interest (bank interest rate)
T= random future life time
e= natural log
The expected value of Z̅x is denoted by Āx and is called the Net Single Premium for a decade or the Actuarial Present Value of the claim. Since Z̅x is a function of random future life time T, the actuarial present value;
Āx=E[Z̅x]=E[eδT]= -δT f(T) ݐ
Where Āx=Net Single Premium for a decade.
= the maximum age the insured will get to before his or her insurance period ends.
f(T)= function of future life time (T)
ݐ = Derivative of random future life time
Āx= -δT tPxµx+t ݐ
wheretPxµx+t =A person aged (X) lives t more years and ends his insurance period at x+t
Here t=10 years
Assuming the person’s age (x)=18 years,
With deMoivre’s law, where
T~µ(0,ω-x)= this means that the insured can enjoy the scheme for the maximum insured policy period, that is 10years. Because if x= 18 and ω is the maximum age the insured can attain in the scheme and that is 28 years.
CHAPTER ONE: Provides the historical background of health insurance in Ghana and establishes the problem statement, research objectives, and scope regarding the NHIS in the Kassena-Nankana District.
CHAPTER TWO: Presents a literature review covering basic insurance definitions, NHIS critiques, and theoretical methods for generating income to sustain health insurance schemes.
CHAPTER THREE: Outlines the research methodology, describing the mixed-method approach (qualitative and quantitative) and the data collection techniques used for the study.
CHAPTER FOUR: Details the empirical findings, including a mathematical model for calculating a single premium and an analysis of the sufficiency and feasibility of that premium over a decade.
CHAPTER FIVE: Summarizes the research findings and provides recommendations for stakeholders, including suggestions for computerization, advocacy against moral hazards, and future revenue strategies.
Insurance, Single premium, Health Insurance, Premium, NHIS, Kassena-Nankana District, Actuarial Science, Healthcare sustainability, Mathematical modeling, Financial feasibility, Moral hazard, Public health administration, Ghana, Social Health Insurance, Statistical survey.
The research investigates the current state of the National Health Insurance Scheme (NHIS) in the Kassena-Nankana District of Ghana and examines the mathematical and practical viability of implementing a single, lifetime-style premium system to sustain the scheme over a ten-year period.
Key themes include administrative difficulties like installment collections, client-related issues such as moral hazards and misconceptions about the scheme, and financial challenges related to high tariffs and the need for sustainable revenue streams.
The main objective is to determine if a single premium model is feasible to improve and sustain healthcare delivery in the district, thereby moving away from the challenges associated with the current annual premium system.
The author employed a mixed-method approach, utilizing a statistical survey that combined qualitative data (analyzed via pie charts) and quantitative data (utilizing actuarial models like DeMoivre’s Law and force of interest calculations).
The main body moves from a contextual and theoretical literature review into a detailed empirical analysis, which includes demographic profiling of respondents and a technical derivation of a single premium calculation model.
Key terms include insurance, single premium, health insurance, actuarial science, financial feasibility, moral hazard, NHIS, and healthcare sustainability.
The author concluded that a single premium is mathematically feasible under certain actuarial assumptions, provided the model is adjusted for the age and locality of the insured, noting that the calculated single premium for a decade would be GH₵ 0.4 based on specific average bill assumptions.
The author strongly recommends full computerization of the administrative and accounting systems to eliminate the inefficiencies of manual record-keeping and to better manage installment payments.
The study suggests that organized public forums and advocacy campaigns are necessary to educate clients on the health implications of abusing the system and to curb intentional, unnecessary hospital visits.
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