\documentclass[11pt,twoside]{article}\makeatletter

\IfFileExists{xcolor.sty}%
  {\RequirePackage{xcolor}}%
  {\RequirePackage{color}}
\usepackage{colortbl}
\usepackage{wrapfig}
\usepackage{ifxetex}
\ifxetex
  \usepackage{fontspec}
  \usepackage{xunicode}
  \catcode`⃥=\active \def⃥{\textbackslash}
  \catcode`❴=\active \def❴{\{}
  \catcode`❵=\active \def❵{\}}
  \def\textJapanese{\fontspec{Noto Sans CJK JP}}
  \def\textChinese{\fontspec{Noto Sans CJK SC}}
  \def\textKorean{\fontspec{Noto Sans CJK KR}}
  \setmonofont{DejaVu Sans Mono}
  
\else
  \IfFileExists{utf8x.def}%
   {\usepackage[utf8x]{inputenc}
      \PrerenderUnicode{–}
    }%
   {\usepackage[utf8]{inputenc}}
  \usepackage[english]{babel}
  \usepackage[T1]{fontenc}
  \usepackage{float}
  \usepackage[]{ucs}
  \uc@dclc{8421}{default}{\textbackslash }
  \uc@dclc{10100}{default}{\{}
  \uc@dclc{10101}{default}{\}}
  \uc@dclc{8491}{default}{\AA{}}
  \uc@dclc{8239}{default}{\,}
  \uc@dclc{20154}{default}{ }
  \uc@dclc{10148}{default}{>}
  \def\textschwa{\rotatebox{-90}{e}}
  \def\textJapanese{}
  \def\textChinese{}
  \IfFileExists{tipa.sty}{\usepackage{tipa}}{}
\fi
\def\exampleFont{\ttfamily\small}
\DeclareTextSymbol{\textpi}{OML}{25}
\usepackage{relsize}
\RequirePackage{array}
\def\@testpach{\@chclass
 \ifnum \@lastchclass=6 \@ne \@chnum \@ne \else
  \ifnum \@lastchclass=7 5 \else
   \ifnum \@lastchclass=8 \tw@ \else
    \ifnum \@lastchclass=9 \thr@@
   \else \z@
   \ifnum \@lastchclass = 10 \else
   \edef\@nextchar{\expandafter\string\@nextchar}%
   \@chnum
   \if \@nextchar c\z@ \else
    \if \@nextchar l\@ne \else
     \if \@nextchar r\tw@ \else
   \z@ \@chclass
   \if\@nextchar |\@ne \else
    \if \@nextchar !6 \else
     \if \@nextchar @7 \else
      \if \@nextchar (8 \else
       \if \@nextchar )9 \else
  10
  \@chnum
  \if \@nextchar m\thr@@\else
   \if \@nextchar p4 \else
    \if \@nextchar b5 \else
   \z@ \@chclass \z@ \@preamerr \z@ \fi \fi \fi \fi
   \fi \fi  \fi  \fi  \fi  \fi  \fi \fi \fi \fi \fi \fi}
\gdef\arraybackslash{\let\\=\@arraycr}
\def\@textsubscript#1{{\m@th\ensuremath{_{\mbox{\fontsize\sf@size\z@#1}}}}}
\def\Panel#1#2#3#4{\multicolumn{#3}{){\columncolor{#2}}#4}{#1}}
\def\abbr{}
\def\corr{}
\def\expan{}
\def\gap{}
\def\orig{}
\def\reg{}
\def\ref{}
\def\sic{}
\def\persName{}\def\name{}
\def\placeName{}
\def\orgName{}
\def\textcal#1{{\fontspec{Lucida Calligraphy}#1}}
\def\textgothic#1{{\fontspec{Lucida Blackletter}#1}}
\def\textlarge#1{{\large #1}}
\def\textoverbar#1{\ensuremath{\overline{#1}}}
\def\textquoted#1{‘#1’}
\def\textsmall#1{{\small #1}}
\def\textsubscript#1{\@textsubscript{\selectfont#1}}
\def\textxi{\ensuremath{\xi}}
\def\titlem{\itshape}
\newenvironment{biblfree}{}{\ifvmode\par\fi }
\newenvironment{bibl}{}{}
\newenvironment{byline}{\vskip6pt\itshape\fontsize{16pt}{18pt}\selectfont}{\par }
\newenvironment{citbibl}{}{\ifvmode\par\fi }
\newenvironment{docAuthor}{\ifvmode\vskip4pt\fontsize{16pt}{18pt}\selectfont\fi\itshape}{\ifvmode\par\fi }
\newenvironment{docDate}{}{\ifvmode\par\fi }
\newenvironment{docImprint}{\vskip 6pt}{\ifvmode\par\fi }
\newenvironment{docTitle}{\vskip6pt\bfseries\fontsize{22pt}{25pt}\selectfont}{\par }
\newenvironment{msHead}{\vskip 6pt}{\par}
\newenvironment{msItem}{\vskip 6pt}{\par}
\newenvironment{rubric}{}{}
\newenvironment{titlePart}{}{\par }

\newcolumntype{L}[1]{){\raggedright\arraybackslash}p{#1}}
\newcolumntype{C}[1]{){\centering\arraybackslash}p{#1}}
\newcolumntype{R}[1]{){\raggedleft\arraybackslash}p{#1}}
\newcolumntype{P}[1]{){\arraybackslash}p{#1}}
\newcolumntype{B}[1]{){\arraybackslash}b{#1}}
\newcolumntype{M}[1]{){\arraybackslash}m{#1}}
\definecolor{label}{gray}{0.75}
\def\unusedattribute#1{\sout{\textcolor{label}{#1}}}
\DeclareRobustCommand*{\xref}{\hyper@normalise\xref@}
\def\xref@#1#2{\hyper@linkurl{#2}{#1}}
\begingroup
\catcode`\_=\active
\gdef_#1{\ensuremath{\sb{\mathrm{#1}}}}
\endgroup
\mathcode`\_=\string"8000
\catcode`\_=12\relax

\usepackage[a4paper,twoside,lmargin=1in,rmargin=1in,tmargin=1in,bmargin=1in,marginparwidth=0.75in]{geometry}
\usepackage{framed}

\definecolor{shadecolor}{gray}{0.95}
\usepackage{longtable}
\usepackage[normalem]{ulem}
\usepackage{fancyvrb}
\usepackage{fancyhdr}
\usepackage{graphicx}
\usepackage{marginnote}

\renewcommand{\@cite}[1]{#1}


\renewcommand*{\marginfont}{\itshape\footnotesize}

\def\Gin@extensions{.pdf,.png,.jpg,.mps,.tif}

  \pagestyle{fancy}

\usepackage[pdftitle={Awareness and Willingness to Participate in Community Health Insurance Scheme among Household Heads in Rivers State Nigeria},
 pdfauthor={}]{hyperref}
\hyperbaseurl{}

	 \paperwidth210mm
	 \paperheight297mm
              
\def\@pnumwidth{1.55em}
\def\@tocrmarg {2.55em}
\def\@dotsep{4.5}
\setcounter{tocdepth}{3}
\clubpenalty=8000
\emergencystretch 3em
\hbadness=4000
\hyphenpenalty=400
\pretolerance=750
\tolerance=2000
\vbadness=4000
\widowpenalty=10000

\renewcommand\section{\@startsection {section}{1}{\z@}%
     {-1.75ex \@plus -0.5ex \@minus -.2ex}%
     {0.5ex \@plus .2ex}%
     {\reset@font\Large\bfseries}}
\renewcommand\subsection{\@startsection{subsection}{2}{\z@}%
     {-1.75ex\@plus -0.5ex \@minus- .2ex}%
     {0.5ex \@plus .2ex}%
     {\reset@font\Large}}
\renewcommand\subsubsection{\@startsection{subsubsection}{3}{\z@}%
     {-1.5ex\@plus -0.35ex \@minus -.2ex}%
     {0.5ex \@plus .2ex}%
     {\reset@font\large}}
\renewcommand\paragraph{\@startsection{paragraph}{4}{\z@}%
     {-1ex \@plus-0.35ex \@minus -0.2ex}%
     {0.5ex \@plus .2ex}%
     {\reset@font\normalsize}}
\renewcommand\subparagraph{\@startsection{subparagraph}{5}{\parindent}%
     {1.5ex \@plus1ex \@minus .2ex}%
     {-1em}%
     {\reset@font\normalsize\bfseries}}


\def\l@section#1#2{\addpenalty{\@secpenalty} \addvspace{1.0em plus 1pt}
 \@tempdima 1.5em \begingroup
 \parindent \z@ \rightskip \@pnumwidth 
 \parfillskip -\@pnumwidth 
 \bfseries \leavevmode #1\hfil \hbox to\@pnumwidth{\hss #2}\par
 \endgroup}
\def\l@subsection{\@dottedtocline{2}{1.5em}{2.3em}}
\def\l@subsubsection{\@dottedtocline{3}{3.8em}{3.2em}}
\def\l@paragraph{\@dottedtocline{4}{7.0em}{4.1em}}
\def\l@subparagraph{\@dottedtocline{5}{10em}{5em}}
\@ifundefined{c@section}{\newcounter{section}}{}
\@ifundefined{c@chapter}{\newcounter{chapter}}{}
\newif\if@mainmatter 
\@mainmattertrue
\def\chaptername{Chapter}
\def\frontmatter{%
  \pagenumbering{roman}
  \def\thechapter{\@roman\c@chapter}
  \def\theHchapter{\roman{chapter}}
  \def\thesection{\@roman\c@section}
  \def\theHsection{\roman{section}}
  \def\@chapapp{}%
}
\def\mainmatter{%
  \cleardoublepage
  \def\thechapter{\@arabic\c@chapter}
  \setcounter{chapter}{0}
  \setcounter{section}{0}
  \pagenumbering{arabic}
  \setcounter{secnumdepth}{6}
  \def\@chapapp{\chaptername}%
  \def\theHchapter{\arabic{chapter}}
  \def\thesection{\@arabic\c@section}
  \def\theHsection{\arabic{section}}
}
\def\backmatter{%
  \cleardoublepage
  \setcounter{chapter}{0}
  \setcounter{section}{0}
  \setcounter{secnumdepth}{2}
  \def\@chapapp{\appendixname}%
  \def\thechapter{\@Alph\c@chapter}
  \def\theHchapter{\Alph{chapter}}
  \appendix
}
\newenvironment{bibitemlist}[1]{%
   \list{\@biblabel{\@arabic\c@enumiv}}%
       {\settowidth\labelwidth{\@biblabel{#1}}%
        \leftmargin\labelwidth
        \advance\leftmargin\labelsep
        \@openbib@code
        \usecounter{enumiv}%
        \let\p@enumiv\@empty
        \renewcommand\theenumiv{\@arabic\c@enumiv}%
	}%
  \sloppy
  \clubpenalty4000
  \@clubpenalty \clubpenalty
  \widowpenalty4000%
  \sfcode`\.\@m}%
  {\def\@noitemerr
    {\@latex@warning{Empty `bibitemlist' environment}}%
    \endlist}

\def\tableofcontents{\section*{\contentsname}\@starttoc{toc}}
\parskip0pt
\parindent1em
\def\Panel#1#2#3#4{\multicolumn{#3}{){\columncolor{#2}}#4}{#1}}
\newenvironment{reflist}{%
  \begin{raggedright}\begin{list}{}
  {%
   \setlength{\topsep}{0pt}%
   \setlength{\rightmargin}{0.25in}%
   \setlength{\itemsep}{0pt}%
   \setlength{\itemindent}{0pt}%
   \setlength{\parskip}{0pt}%
   \setlength{\parsep}{2pt}%
   \def\makelabel##1{\itshape ##1}}%
  }
  {\end{list}\end{raggedright}}
\newenvironment{sansreflist}{%
  \begin{raggedright}\begin{list}{}
  {%
   \setlength{\topsep}{0pt}%
   \setlength{\rightmargin}{0.25in}%
   \setlength{\itemindent}{0pt}%
   \setlength{\parskip}{0pt}%
   \setlength{\itemsep}{0pt}%
   \setlength{\parsep}{2pt}%
   \def\makelabel##1{\upshape ##1}}%
  }
  {\end{list}\end{raggedright}}
\newenvironment{specHead}[2]%
 {\vspace{20pt}\hrule\vspace{10pt}%
  \phantomsection\label{#1}\markright{#2}%

  \pdfbookmark[2]{#2}{#1}%
  \hspace{-0.75in}{\bfseries\fontsize{16pt}{18pt}\selectfont#2}%
  }{}
      \def\TheFullDate{2021-05-15 (revised: 15 May 2021)}
\def\TheID{10.34257/GJMRKVOL21IS1PG35\makeatother }
\def\TheDate{2021-05-15}
\title{Awareness and Willingness to Participate in Community Health Insurance Scheme among Household Heads in Rivers State Nigeria}
\author{}\makeatletter 
\makeatletter
\newcommand*{\cleartoleftpage}{%
  \clearpage
    \if@twoside
    \ifodd\c@page
      \hbox{}\newpage
      \if@twocolumn
        \hbox{}\newpage
      \fi
    \fi
  \fi
}
\makeatother
\makeatletter
\thispagestyle{empty}
\markright{\@title}\markboth{\@title}{\@author}
\renewcommand\small{\@setfontsize\small{9pt}{11pt}\abovedisplayskip 8.5\p@ plus3\p@ minus4\p@
\belowdisplayskip \abovedisplayskip
\abovedisplayshortskip \z@ plus2\p@
\belowdisplayshortskip 4\p@ plus2\p@ minus2\p@
\def\@listi{\leftmargin\leftmargini
               \topsep 2\p@ plus1\p@ minus1\p@
               \parsep 2\p@ plus\p@ minus\p@
               \itemsep 1pt}
}
\makeatother
\fvset{frame=single,numberblanklines=false,xleftmargin=5mm,xrightmargin=5mm}
\fancyhf{} 
\setlength{\headheight}{14pt}
\fancyhead[LE]{\bfseries\leftmark} 
\fancyhead[RO]{\bfseries\rightmark} 
\fancyfoot[RO]{}
\fancyfoot[CO]{\thepage}
\fancyfoot[LO]{\TheID}
\fancyfoot[LE]{}
\fancyfoot[CE]{\thepage}
\fancyfoot[RE]{\TheID}
\hypersetup{citebordercolor=0.75 0.75 0.75,linkbordercolor=0.75 0.75 0.75,urlbordercolor=0.75 0.75 0.75,bookmarksnumbered=true}
\fancypagestyle{plain}{\fancyhead{}\renewcommand{\headrulewidth}{0pt}}

\date{}
\usepackage{authblk}

\providecommand{\keywords}[1]
{
\footnotesize
  \textbf{\textit{Index terms---}} #1
}

\usepackage{graphicx,xcolor}
\definecolor{GJBlue}{HTML}{273B81}
\definecolor{GJLightBlue}{HTML}{0A9DD9}
\definecolor{GJMediumGrey}{HTML}{6D6E70}
\definecolor{GJLightGrey}{HTML}{929497} 

\renewenvironment{abstract}{%
   \setlength{\parindent}{0pt}\raggedright
   \textcolor{GJMediumGrey}{\rule{\textwidth}{2pt}}
   \vskip16pt
   \textcolor{GJBlue}{\large\bfseries\abstractname\space}
}{%   
   \vskip8pt
   \textcolor{GJMediumGrey}{\rule{\textwidth}{2pt}}
   \vskip16pt
}

\usepackage[absolute,overlay]{textpos}

\makeatother 
      \usepackage{lineno}
      \linenumbers
      
\begin{document}

             \author[1]{Benjamin O  Osaro}

             \author[2]{Ishmael  DJaja}

             \author[3]{Tondor  CJumbo-Uzosike}

\renewcommand\Authands{ and }

\date{\small \em Received: 15 April 2021 Accepted: 1 May 2021 Published: 15 May 2021}

\maketitle


\begin{abstract}
        


Background: Community-Based Health Insurance scheme (CBHI) can guarantee access to quality healthcare services and increase universal health coverage. Enrolments for this scheme in Nigeria is however low. This study sought to assess the awareness and willingness of households in Rivers State to participate in CBHI.Methodology: This is a cross-sectional descriptive study done in Rivers State, Nigeria. A total of 332 heads of households recruited through multistage sampling and gave written informed consent were interviewed using a pretested interviewer-administered questionnaire. Participants gave information on their socio-demography, awareness and willingness to participate in CBHI and reasons for unwilling to participate. Data were analyzed using IBM SPSS Statistics 22 and results were presented in frequency tables. Chi-square test was done at P< 0.05.

\end{abstract}


\keywords{awareness, willingness to participate, community-based health insurance scheme, rivers state.}

\begin{textblock*}{18cm}(1cm,1cm) % {block width} (coords) 
\textcolor{GJBlue}{\LARGE Global Journals \LaTeX\ JournalKaleidoscope\texttrademark}
\end{textblock*}

\begin{textblock*}{18cm}(1.4cm,1.5cm) % {block width} (coords) 
\textcolor{GJBlue}{\footnotesize \\ Artificial Intelligence formulated this projection for compatibility purposes from the original article published at Global Journals. However, this technology is currently in beta. \emph{Therefore, kindly ignore odd layouts, missed formulae, text, tables, or figures.}}
\end{textblock*}


\begin{textblock*}{10cm}(1.05cm,3cm)
{{\textit{CrossRef DOI of original article:}} \underline{10.34257/GJMRKVOL21IS1PG35}}
\end{textblock*}\let\tabcellsep& 	 	 		 
\section[{Introduction}]{Introduction}\par
lthough life expectancy at birth has improved globally, disparity still exists between the highincome countries on one side and the low-and medium-income countries (LMIC) on the other side. These improvements in life expectancy at birth has been attributed inter alia to improvements in standard of living, health care services delivery and its access. \hyperref[b0]{1} In sub-Saharan Africa, life expectancy at birth is currently at 59.5years. \hyperref[b0]{1} This however, is below that in parts of the developed and high-income countries of the world where life expectancy is over 70.5years. \hyperref[b0]{1} Recent discourse to improve inequalities in health among nations and within countries has centered on increasing universal health coverage in order to improve access to and utilization of high quality and efficacious healthcare services. \hyperref[b1]{2,}\hyperref[b2]{3} Health care cost for majority of people in developing countries like Nigeria has relied on out-ofpocket (OOP) expenditures. \hyperref[b3]{4} This is occasionally catastrophic and accounts for over 70\% of the total family's income, an expenditure far above the recommended 30\%.  {\ref 5 -7} Most countries of the world have introduced social health insurance programs aimed at ensuring access to healthcare when needed without unduly exposing individuals and families to financial hardship or impoverishment. These forms of insurance hinge on the pooling of funds and resources from enrollees and sharing of financial risk in the event of illnesses especially of catastrophic nature.  {\ref 8 -10} In Nigeria the National Social Health Insurance scheme was implemented in 2005 six years after the enactment of its enabling law (NHIS Act 35 of 1999).  {\ref 11 -13} This scheme made provision for the enrolment of the different subpopulations in the country through organized formal sector insurance schemes like the Public Sector and Organized Private Sector Employees and Tertiary Institutions Health Insurance Scheme (TSHIP) as well as the informal sector health insurance schemes like the Urban Self-Employed Individuals and Rural Community dwellers insurance schemes amongst others.\par
In Nigeria and other countries in Africa, the informal sector constitutes the majority population. \hyperref[b14]{14} These reside in rural settings where healthcare service is of low quality and access also poor with attendant adverse consequences on their health, dignity and ability to earn income. \hyperref[b5]{6,}\hyperref[b15]{15} Health insurance systems that provides financial protection from catastrophic healthcare needs of this sector is community-based health insurance: a system of pooling of funds from individuals and families in the community on the based on solidarity to provides healthcare services to members of the community. \hyperref[b8]{8,}\hyperref[b16]{16} Enrolment in Community Health Insurance is voluntary however, to prevent adverse selection and decapitation of the insurance scheme, enrolment is in groups of at least 500 persons who are residents in the community and who may/or not share a A similar occupation. Premium is usually a flat sum, not risk-related and payment is also flexible on a monthly or seasonal basis to encourage en masse enrolment. \hyperref[b7]{7,}\hyperref[b13]{13} Payment of premium guarantees enrollees and/or their dependents access to a minimum benefit package which covers their basic health needs for treatment of malaria, typhoid fever, tuberculosis, diarrhea, etc. \hyperref[b10]{10,}\hyperref[b17]{17} Although the formal sector insurance scheme has made significant improvement in its enrolment since inception, the informal sector rural community health insurance scheme targeting individuals and families in rural settings, trails far behind with an enrolment rate of 2\% as of 2014. \hyperref[b2]{3} Studies have reported an abysmally low level of awareness of CBHIS of 3.9\% and enrolment of 2.9\% among artisans in Abakiliki Nigeriadespite their effectiveness in ensuring financial risk protection from catastrophic health expenditures to individuals and families in rural communities. \hyperref[b11]{[11]}\hyperref[b12]{[12]}\hyperref[b13]{[13]}\hyperref[b14]{[14]}\hyperref[b15]{[15]}\hyperref[b16]{[16]}\hyperref[b17]{[17]}\hyperref[b18]{[18]} Furthermore, the willingness to participate in CBHIS ranged from 69.3\% -97.0\% among different populations in Nigeria \hyperref[b5]{6,}\hyperref[b8]{8,}\hyperref[b9]{9,}\hyperref[b11]{11,}\hyperref[b19]{19} while the willingness to a pay premium of between N400 -N5000 per annum per person for any form of voluntary health insurance also varies among communities, ranging from 28\% in Kwara State to 82.0\% in Kaduna State, Nigeria.  {\ref 2,5-7,9,11 , 17} Participation is largely determined by such factors like age and sex of household head, size of household, previous experience of borrowing to fund healthcare, level of education and income.  {\ref 5,8,9,} Very few CBHI schemes are in operation in Nigeria despite the legal framework provided by the NHIS Act 99. \hyperref[b17]{17} The willingness to participate in CBHI schemes in communities in Rivers State Nigeria is yet to be assessed therefore this study seeks to determine knowledge, willingness and barriers to participation in community health insurance schemes by individuals and families in communities in Rivers State. 
\section[{II.}]{II.} 
\section[{Methods a) Study setting}]{Methods a) Study setting}\par
This study was carried out in Rivers State, Nigeria located in the Niger Delta region of Nigeria. Rivers State is comprised of 23 Local Government Areas (LGAs) grouped into three Senatorial Districts. Each of the LGA is delineated into ten or more political wards. Twenty of them are rural. Healthcare services in each\par
LGA are provided at the various Health posts, Chemist/Patent Medicine Vendors, Primary Healthcare Centres, privately owned health clinics and a General Hospital which doubles as a referral centre. There are two tertiary level healthcare centres in Rivers State which receive referrals from the peripheral hospitals. 
\section[{b) Study design and sampling}]{b) Study design and sampling}\par
This study was a cross sectional descriptive study using head of households aged 18 years and above, and resident in Rivers State, Nigeria. The minimum sample size was determined as 327 using the Leslie Fischer's formula 11 n = Z 2 pq/d 2 ; where n = minimum sample size; Z = Level of statistical significance = 95\% (1.96); P = the estimated proportion of those willing to participate in CBHIS = 69.3\% 9 = 0.693; q = 1?p = 0.307; d = Precision/error tolerated (5\%) = 0.05. However, this was increased to 360 to accommodate for non-response of 10\%.\par
A multistage sampling method was adopted in recruiting participants for this study. One LGA was selected in each of the three Senatorial Districts in the State. In each selected LGA, ten political wards were selected and finally 12 heads of households who are 18 years and above from each political ward.\par
Chi-square (X 2 ) test was done to determine the association of willingness to participate in CBHIS on one hand and socioeconomic variables and knowledge of CBHIS on the other hand. The level of statistical significance was set at P< 0.05. 
\section[{III.}]{III.} 
\section[{Ethical Approval}]{Ethical Approval}\par
The Rivers State Health Research Ethics Committee approved this study. Participants were fully informed of the objectives of the study, assured of the confidentiality of their responses and that participation is voluntary. Written informed consent were obtained from participants before data collection.  
\section[{c) Data collection}]{c) Data collection}\par
Data were collected from participants who gave consent using a pretested interviewer-administer questionnaire. Participants provided information on socio-demography, family's illness experiences and health expenditure, awareness and knowledge on CBHIS, willingness to participate in CBHIS, the amount they are willing to pay as premium and reasons for unwillingness to participate in CBHIS. 
\section[{d) Data analysis}]{d) Data analysis}\par
The collected data was analyzed using IBM SPSS Statistics 22 and results presented in frequency tables. The primary outcome variable: Willingness to participate in CBHIS, was assessed as the proportion of participants who were willing to enroll for CBHIS. However how much participants were willing to pay as premium was determined using the contingency valuation method where the amount was bided from the highest amount of N5,000.00 to the lowest amount respondent is willing to pay. \hyperref[b4]{5} Secondary outcome variable: awareness of CBHIS' was determined as the proportion of respondents who have heard about CBHIS, knowledge of CBHIS, was determined with a 10point knowledge score. The knowledge of CBHIS by participants was categorized as poor (score 1 -4), good (score 5 -6) or very good (score 7 -10). The financial burden of respondents was assessed as catastrophic if a household expenditure on health involves spending all their monthly income, savings, donations, borrowings and/or sales of assets. \hyperref[b20]{20} IV. 
\section[{Result}]{Result}\par
A total of 332 head of households participated in this study out of 360 selected. Majority of the participants were 35 -44 years of age (n = 112; 33.7\%) and employed by Government (n = 79; 23.8\%). Nearly three-quarter of them are married (n = 242; 72.9\%) with more than half attaining tertiary education (n = 171; 51.5\%) Table \hyperref[tab_0]{1}. Nearly two-thirds of the participants earn less than the minimum wage of N30,000 monthly (n = 199; 59.9\%) with 128 of them (38.6\%) having 3 -4 children. (Table  {\ref 2})\par
Table  {\ref 2}: Income and family size distribution of respondents *skewed data (modal income = N20,000) Two hundred (60.2\%) of the participants had 1 -2 members of the family experiencing illness episodes within the last 12 months. Among these, majority (n = 121; 42.0\%) attend Government hospitals/dispensaries for treatment. Only 32 (9.6\%) participants are enrolled on any health insurance scheme. (Table \hyperref[tab_1]{3})  
\section[{* Participants who had illness experience ** Participants enrolled on an Insurance scheme}]{* Participants who had illness experience ** Participants enrolled on an Insurance scheme}\par
Most (n = 164; 56.9\%) of the participants spent up to N10,000 on the treatment of illnesses in the family. In 16 participants (5.6\%), payment for treatment was defrayed by insurance scheme whereas in 178(61.8\%), it was done with some of the family savings. Less than 20\% had catastrophic expenditures (Table \hyperref[tab_2]{4}). Only 126 (38.0\%) of the respondents had the awareness of CBHI. Among these about half (n = 68; 54.0\%) had very good knowledge of CBHIS and 38 (30.2\%) had good knowledge. The commonest source of information on CBHIS were churches (n = 31; 24.6\%) Table \hyperref[tab_3]{5}. Participants who were willing to enroll for CBHIS were 274 (82.5\%). Among these 174 (63.5\%) participants were willing to enroll other members of the family. Treatment of mild medical illnesses that do not require hospital admission was the most common service desired (n = 198; 72.3\%). A total of 157 (57.3\%) participants were willing to pay a premium of N2000 or less while 87(31.8\%) participants were willing to pay premium once a year (Table \hyperref[tab_4]{6}).   \hyperref[tab_5]{7} shows that there is a statistically significant association between willingness to enroll for CBHI scheme and awareness of CBHI (P = 0.037), the number of living children (P = 0.025), partner's level of education (P = 0.04), as well as the experience of catastrophic expenditures (P< 0.0001) but not with average monthly income (P = 0.375). The commoner reasons participants were not willing to participate in a CBHI scheme were 'lack of regular income to pay or renew premium' (n =17; 29.3\%) and 'I don't believe that I will be treated when I am sick without payment' (n = 16; 27.6\%). 'Hospital is far away' was the least common reason for not willing to participate CBHI scheme (n = 1; 1.7\%) Table \hyperref[tab_6]{8}.  
\section[{Discussion}]{Discussion}\par
Although enrolment for CBHI scheme is low in this study, over four-fifths (82.5\%) of household heads have the willingness to enroll themselves in CBHI scheme while approximately two-thirds (63.5\%) were willing to enroll members of their households. Related studies have similarly reported a very high willingness of household heads to enroll in a CBHI scheme. In these studies more than three -quarters of the respondents were willing to enroll for CBHI schemes in Nigeria 6,23 and elsewhere \hyperref[b1]{2,}\hyperref[b8]{8,}\hyperref[b22]{22} whereas in others, approximately twothirds of heads of households were willing to enroll in CBHI schemes. \hyperref[b7]{7,}\hyperref[b21]{21} When out of pocket expenditure on health is catastrophic, individuals and families become impoverished. This further increases the risk of poor health as well as denial of access to quality healthcare services. \hyperref[b4]{5} Income and educational level of enrollees have been reported to influence their willingness to enroll for an insurance scheme. \hyperref[b1]{2,}\hyperref[b9]{9} The poor who have experienced catastrophic health expenditure because of their low ability to pay for health services at points of care, better appreciate the benefits of a community health insurance scheme and are more willing to enroll in CBHI schemes. \hyperref[b8]{8} This study found no statistically significant association between willingness to participate in CBHIS and income levels of respondents (P = 0.375) or the level of education of respondents (P = 0.7) as reported in another study. \hyperref[b9]{9} However the association between respondents' willingness to participate in CBHI and having a catastrophic health expenditure (P< Year 2021 One mechanism for financing of healthcare services in low-and medium-income countries of the world, where funding of healthcare services is poor, is Community-based health insurance. In Nigeria this model has been integrated into the National Social Health Insurance Schemes in order to improve access to healthcare services for the informal sector and the poor. \hyperref[b5]{6,}\hyperref[b15]{15} This study is aimed at determining awareness of CBHI and the willingness of head of households in Rivers State Nigeria to participate in it. The awareness of CBHI is low in Rivers State Nigeria. In this study about one-third (38\%) of respondents have heard about CBHI. Studies previously conducted in some parts of Nigeria also show that awareness of CBHI is still low. For instance, among artisans in Abakiliki, Nigeria only 3.9\% of them are aware of CBHI. \hyperref[b11]{11} Residents in a capital city of Nigerian who have the awareness of CBHI were only 13\% \hyperref[b5]{6}, while in a suburb in Lagos, 19.8\% of residents were aware of CBHI. \hyperref[b21]{21} Furthermore, a similar finding was reported in a health District in Douala Cameroun, where 25.6\% of informal workers were aware of the existence of CBHI schemes. \hyperref[b22]{22} The level of awareness of CBHI scheme has also being reportedly high in other populations. For instance 52.2\% and 91\% of participants, in studies done in North-western Nigeria and in Tanzania respectively, have the awareness of CBHI. \hyperref[b9]{9,}\hyperref[b18]{18} Awareness of CBHI in most developing countries is low probably because of poor mass media and community sensitization campaigns promoting health insurance schemes particularly in rural areas. \hyperref[b21]{21,}\hyperref[b22]{22} The commonest sources of information on health insurance in this study were churches (24.6\%) and friends (18.3\%). Other studies reported common sources of information on CBHI as radio, friends, community leaders and television among household heads in FCT Nigeria, \hyperref[b5]{6,}\hyperref[b18]{18} whereas among residents in a Lagos suburb it was community sensitization and community members. \hyperref[b21]{21} This study found that among respondents who have awareness of CBHI, more than four-fifth (84.2\%) have at least a fair knowledge of CBHI. Good knowledge of CBHI was similarly high (71\%) among respondents in the North Central Zone of Nigeria but low (37\%) among residents in a suburb of Lagos. \hyperref[b21]{21,}\hyperref[b23]{23} Enrolment for CBHI is low among households in Nigeria and elsewhere. Only 9.6\% of households in this study were currently enrolled in a health insurance program. The majority of them (43.0\%) enrolled in rural CBHI schemes like the Obio Cottage health insurance in Port Harcourt and Community Health Insurance Scheme in Bonny. Other studies reported lower enrolment into CBHI schemes. For instance, CBHI enrollees were 6.7\% in FCT Nigeria, 4.5\% in a suburb in Lagos Nigeria, 2.9\% among artisans in Abakiliki and 1.2\% among informal sector workers in Douala, Cameroun. \hyperref[b5]{6,}\hyperref[b11]{11,}\hyperref[b21]{21,}\hyperref[b22]{22} 0.00001), number of living children (P = 0.025), awareness of CBHI by respondents (P = 0.037) and level of education of their partners (P = 0.041) were statistically significant. Kibret et al similarly reported that households who borrowed to pay for healthcare services were 2-7 times more willing to enroll for CBHI. \hyperref[b8]{8} Sixty percent of heads of households in this study earn less than N30, 000.00 monthly, the minimum wage in Nigeria; more than half (57.0\%) had spent on the average N10,000.00 on healthcare expenses in the last 12 months and only 6.0\% paid for healthcare services through an insurance scheme. Furthermore, the knowledge of the benefits of health insurance programs by individuals in the community is key to their decisions to enroll in CBHI schemes. Approximately half (52.0\%) of the respondents and 44.0\% of their partners have tertiary level education. Individuals who have had catastrophic health expenditure as well as those with more education can appraise the risk-benefit packages of a health insurance scheme better than the less educated and thus more willing to participate. \hyperref[b4]{5,}\hyperref[b11]{11} Such catastrophic experiences coupled with the high level awareness of CBHI of respondents and of education of their partners who possibly play roles in decisions on enrolment may likely account for the high level of willingness to enroll for CBHI schemes by respondents in this study irrespective of their incomes. \hyperref[b1]{2} Most of the respondents were willing to pay a premium of N2, 000.00 per head per annum (range N 100 -N20,000.00) for treatment of mild medical conditions on an outpatient basis as well as serious conditions requiring hospitalization. This finding is comparable to the annual premium reported in other studies as prepayment for healthcare services which may or not include surgery and other treatments requiring hospitalization.  {\ref 4,11 , 17} In terms of flexibility of payment of premium, majority of the respondents in this study preferred once a year payment followed by twice a year or monthly. In another study however, the monthly payment pattern was the most preferred method among informal sector workers. \hyperref[b22]{22} Although this study did not assess the factors that determine how much enrollees are willing to pay, other studies found age and level of education of household head, monthly income, farm size or wealth status of the family, household size as determinants of amount enrollees were willing to pay. These factors may be due to the awareness of and actual experience of catastrophic expenditures following illness events within the family. \hyperref[b1]{2,}\hyperref[b17]{17,}\hyperref[b23]{23} Among the reasons respondents in this study gave for their unwillingness to enroll for CBHI, financial constraints (lack of regular income to pay and renew premium) and distrust for the insurance scheme (I don't believe that I will be treated when I am sick without payment) were the commonest. In similar studies, lack of awareness, trust, interest, altruism (an attitude of viewing premium as a contribution to the success of CBHI) and the solidarity principle (an attitude of 'somebody else will use up my premium if I don't use it'), etc have also been reported as 'demand side' barriers to enrolment for insurance schemes. \hyperref[b5]{6,}\hyperref[b11]{11,}\hyperref[b21]{21} VI. 
\section[{Global}]{Global} 
\section[{Conclusion}]{Conclusion}\par
Although the awareness of Community-Based Health Insurance is low in Rivers State, knowledge of CBHI is high among those with awareness. Enrolment is also low however, majority of the people have the willingness to enroll themselves and members of their family.\par
A statistically significant association was found between willingness to enroll for CBHIS and awareness of CBHIS, number of living children, level of education of partner and the experience of catastrophic health expenditure. Community engagement programs to increase the awareness of CBHIS should be implemented to increase enrolment and improve access to high-quality healthcare services. 
\section[{VII.}]{VII.} 
\section[{Limitation of the Study}]{Limitation of the Study}\par
Information analyzed were obtained from the responses of participants. These responses are dependent on their memory recall which may introduce information bias. 
\section[{Conflict of Interest Nil}]{Conflict of Interest Nil} 
\section[{Financial support}]{Financial support}\par
This research was funded entirely by the researchers. \begin{figure}[htbp]
\noindent\textbf{1} \par 
\begin{longtable}{P{0.5553680981595092\textwidth}P{0.1329754601226994\textwidth}P{0.16165644171779142\textwidth}}
Variables\tabcellsep Frequency (n = 332)\tabcellsep Percent\\
Age (years)\tabcellsep \tabcellsep \\
<25\tabcellsep 19\tabcellsep 5.7\\
25 -34\tabcellsep 76\tabcellsep 22.9\\
35 -44\tabcellsep 112\tabcellsep 33.7\\
45 -54\tabcellsep 66\tabcellsep 19.9\\
55 -64\tabcellsep 26\tabcellsep 7.9\\
>64\tabcellsep 33\tabcellsep 9.9\\
Mean (SD)\tabcellsep 40.45 (11.08)\tabcellsep \\
Sex\tabcellsep \tabcellsep \\
Male\tabcellsep 178\tabcellsep 53.6\\
Female\tabcellsep 154\tabcellsep 46.4\\
Marital status\tabcellsep \tabcellsep \\
Married\tabcellsep 242\tabcellsep 72.9\\
Separated/divorced\tabcellsep 9\tabcellsep 2.7\\
Widow\tabcellsep 11\tabcellsep 3.3\\
Single\tabcellsep 70\tabcellsep 21.1\\
Level of education\tabcellsep \tabcellsep \\
Primary\tabcellsep 23\tabcellsep 6.9\\
Secondary\tabcellsep 132\tabcellsep 39.8\\
Tertiary\tabcellsep 171\tabcellsep 51.5\\
None\tabcellsep 6\tabcellsep 1.8\\
Partner's level of education*\tabcellsep \tabcellsep \\
Primary\tabcellsep 29\tabcellsep 11.2\\
Secondary\tabcellsep 108\tabcellsep 41.7\\
Tertiary\tabcellsep 115\tabcellsep 44.4\\
None\tabcellsep 7\tabcellsep 2.7\\
Occupation\tabcellsep \tabcellsep \\
Farming\tabcellsep 30\tabcellsep 9.0\\
Fishing\tabcellsep 22\tabcellsep 6.6\\
Trading\tabcellsep 67\tabcellsep 20.2\\
Government employee\tabcellsep 79\tabcellsep 23.8\\
Private sector employee\tabcellsep 70\tabcellsep 21.1\\
Unemployed\tabcellsep 64\tabcellsep 19.3\\
Partner's occupation\tabcellsep \tabcellsep \\
Farming\tabcellsep 40\tabcellsep 12.0\\
Fishing\tabcellsep 10\tabcellsep 3.0\\
Trading\tabcellsep 68\tabcellsep 20.5\\
Government employee\tabcellsep 47\tabcellsep 14.2\\
Private sector employee\tabcellsep 53\tabcellsep 16.0\\
Unemployed\tabcellsep 114\tabcellsep 34.3\\
*missing values (n = 259)\tabcellsep \tabcellsep \end{longtable} \par
 
\caption{\label{tab_0}Table 1 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{3} \par 
\begin{longtable}{P{0.85\textwidth}}
Year 2021\\
38\end{longtable} \par
 
\caption{\label{tab_1}Table 3 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{4} \par 
\begin{longtable}{P{0.689591439688716\textwidth}P{0.07607003891050583\textwidth}P{0.0843385214007782\textwidth}}
Variables\tabcellsep Frequency (n = 288)\tabcellsep Percent\\
Amount spent in last 12 months (N)\tabcellsep \tabcellsep \\
1 -10,000\tabcellsep 164\tabcellsep 56.9\\
10,001 -20,000\tabcellsep 46\tabcellsep 16.0\\
20,001 -30,000\tabcellsep 20\tabcellsep 6.9\\
30,001 -40,000\tabcellsep 9\tabcellsep 3.1\\
40,001 -50,000\tabcellsep 15\tabcellsep 5.2\\
50,001 -100,000\tabcellsep 18\tabcellsep 6.3\\
>100,000\tabcellsep 16\tabcellsep 5.6\\
Mode of payment for treatment*\tabcellsep \tabcellsep \\
paid for Rx with my Insurance Scheme\tabcellsep 17\tabcellsep 5.9\\
Paid for Rx with some of the family's savings\tabcellsep 181\tabcellsep 62.8\\
Paid with all the family savings**\tabcellsep 24\tabcellsep 8.3\\
Borrowed money to pay for treatment**\tabcellsep 49\tabcellsep 17.0\\
Sold family's property to pay for treatment**\tabcellsep 53\tabcellsep 18.4\\
Paid from donations from friends and other family support**\tabcellsep 27\tabcellsep 9.4\end{longtable} \par
  {\small\itshape [Note: expenditure = N10,000.00; * multiple options; ** Catastrophic expenditure]} 
\caption{\label{tab_2}Table 4 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{5} \par 
\begin{longtable}{P{0.5464285714285715\textwidth}P{0.13740601503759398\textwidth}P{0.16616541353383457\textwidth}}
Variables\tabcellsep Frequency (n = 332)\tabcellsep Percent\\
Awareness of CBHI\tabcellsep \tabcellsep \\
Yes\tabcellsep 126\tabcellsep 38.0\\
No\tabcellsep 206\tabcellsep 62.0\\
Knowledge of CBHIS*\tabcellsep \tabcellsep \\
Very good\tabcellsep 68\tabcellsep 54.0\\
Good\tabcellsep 38\tabcellsep 30.2\\
Poor\tabcellsep 20\tabcellsep 15.8\\
\multicolumn{2}{l}{Sources of information on CBHI**}\tabcellsep \\
Church\tabcellsep 31\tabcellsep 24.6\\
Friends\tabcellsep 23\tabcellsep 18.3\\
Hospitals/Clinics\tabcellsep 19\tabcellsep 15.1\\
Community leaders\tabcellsep 17\tabcellsep 13.5\\
Radio/TV\tabcellsep 10\tabcellsep 7.9\\
Club meetings\tabcellsep 4\tabcellsep 3.2\\
NGOs\tabcellsep 2\tabcellsep 1.6\end{longtable} \par
  {\small\itshape [Note: * Participants who have awareness of CBHI ** multiple options]} 
\caption{\label{tab_3}Table 5 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{6} \par 
\begin{longtable}{P{0.7741784037558685\textwidth}P{0.01995305164319249\textwidth}P{0.05586854460093897\textwidth}}
Tertiary Institutions Social Health Insurance Scheme\tabcellsep 2\tabcellsep 6.3\\
Voluntary contribution Social Insurance Scheme\tabcellsep 1\tabcellsep 3.1\\
Rural Community Social Health Insurance Scheme\tabcellsep 14\tabcellsep 43.8\\
Children Under-five Social Health Insurance Scheme\tabcellsep 4\tabcellsep 12.5\end{longtable} \par
  {\small\itshape [Note: * Participants willing to enroll for CBHIS; **Skewed data; \$ multiple optionsTable]} 
\caption{\label{tab_4}Table 6 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{7} \par 
\begin{longtable}{P{0.38636363636363635\textwidth}P{0.23181818181818178\textwidth}P{0.056937799043062204\textwidth}P{0.1748803827751196\textwidth}}
\tabcellsep \multicolumn{2}{l}{Willingness to enroll}\tabcellsep \\
Variables\tabcellsep \multicolumn{2}{l}{for CBHI scheme}\tabcellsep X 2\\
\tabcellsep Yes\tabcellsep No\tabcellsep (P-value)\\
Awareness of CBHI\tabcellsep \tabcellsep \tabcellsep \\
Yes\tabcellsep 111\tabcellsep 15\tabcellsep 4.349 (0.037)*\\
No\tabcellsep 163\tabcellsep 43\tabcellsep \\
Knowledge of CBHI\tabcellsep \tabcellsep \tabcellsep \\
Very good\tabcellsep 62\tabcellsep 6\tabcellsep 1.922\\
Good\tabcellsep 33\tabcellsep 5\tabcellsep (0.382)\\
Poor\tabcellsep 16\tabcellsep 4\tabcellsep \\
No of living children\tabcellsep \tabcellsep \tabcellsep \\
0\tabcellsep 2\tabcellsep 0\tabcellsep \\
1 -2\tabcellsep 80\tabcellsep 13\tabcellsep \\
3 -4\tabcellsep 112\tabcellsep 16\tabcellsep 9.712\end{longtable} \par
 
\caption{\label{tab_5}Table 7 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{8} \par 
\begin{longtable}{P{0.698728813559322\textwidth}P{0.08283898305084746\textwidth}P{0.0684322033898305\textwidth}}
Reason for not willing to participate in CBHI scheme\tabcellsep Frequency (n = 58)\tabcellsep Percent\\
Lack of regular income to pay or renew premium\tabcellsep 17\tabcellsep 29.3\\
I don't believe that I will be treated when I am sick without payment\tabcellsep 16\tabcellsep 27.6\\
Not interested in Insurance\tabcellsep 9\tabcellsep 15.5\end{longtable} \par
 
\caption{\label{tab_6}Table 8 :}\end{figure}
 			\footnote{© 2021 Global Journals} 		 		\backmatter  			  				\begin{bibitemlist}{1}
\bibitem[A Review of Community-Based Health Insurance Schemes: Lessons from Nigeria and Ghana ()]{b2}\label{b2} 	 		\textit{A Review of Community-Based Health Insurance Schemes: Lessons from Nigeria and Ghana},  		2015. Abuja, Nigeria: Christian Aid.  		 			Christian Aid 		 	 
\bibitem[Azuogu and Eze ()]{b11}\label{b11} 	 		‘Awareness and Willingness to Participate in Community Based Health Insurance among Artisans in Abakaliki’.  		 			B N Azuogu 		,  		 			N C Eze 		.  		 AJRIMPS.42839.  	 	 		\textit{Southeast Nigeria. Asian Journal of Research in Medical and Pharmaceutical Sciences}  		2018. 4  (3)  p. .  	 
\bibitem[Abdulganiyu et al. ()]{b9}\label{b9} 	 		‘Awareness and Willingness to Pay for Community Based Health Insurance Scheme in North-Western Nigeria’.  		 			G Abdulganiyu 		,  		 			K Muhammad 		,  		 			U Ibrahim 		,  		 			H H Suleiman 		,  		 			B K Lawal 		.  	 	 		\textit{Journal of Pharmaceutical and Health Sciences}  		2018. 6  (2)  p. .  	 
\bibitem[Kapologwe et al. ()]{b18}\label{b18} 	 		‘Barriers and facilitators to enrollment and re-enrollment into the community health funds/Tiba Kwa Kadi (CHF/TIKA) in Tanzania: a cross-sectional inquiry on the effects of sociodemographic factors and social marketing strategies’.  		 			N A Kapologwe 		,  		 			G B Kagaruki 		,  		 			A Kalolo 		,  		 			M Ally 		,  		 			A Shao 		,  		 			M Meshack 		,  		 			M Stoermer 		,  		 			A Briet 		,  		 			K Wiedenmayer 		,  		 			A Hoffman 		.  	 	 		\textit{BMC Health Services Research}  		2017. 17 p. 308.  	 
\bibitem[Ogundeji et al. ()]{b4}\label{b4} 	 		‘Butawa NN Factors influencing willingness and ability to pay for social health insurance in Nigeria’.  		 			Y K Ogundeji 		,  		 			B Akomolafe 		,  		 			K Ohiri 		.  		 \xref{http://dx.doi.org/10.1371/journal.pone.0220558}{10.1371/journal.pone.0220558}.  		 \url{https://doi.org/10.1371/journal.pone.0220558}  	 	 		\textit{PLoS ONE}  		2019. 14  (8)  p. e0220558.  	 
\bibitem[Banwat et al. ()]{b23}\label{b23} 	 		‘Community Based Health Insurance knowledge and willingness to pay: a survey of a rural community in North Central zone of Nigeria’.  		 			M E Banwat 		,  		 			H A Agbo 		,  		 			Z Hassan 		,  		 			I A Osagie 		,  		 			J U Ozoilo 		,  		 			C Ogbonna 		.  	 	 		\textit{Jos Journal of Medicine}  		2012. 6  (1)  p. .  	 
\bibitem[Noubiap et al. ()]{b22}\label{b22} 	 		‘Community-based health insurance knowledge, concern, preferences, and financial planning for health care among informal sector workers in a health district of Douala, Cameroon’.  		 			Jjn Noubiap 		,  		 			Wya Joko 		,  		 			Jmn Obama 		,  		 			Jjr Bigna 		.  		 doi:10.11604/ pamj.2013.16.17.2279.  	 	 		\textit{Pan African Medical Journal}  		2013. 16 p. 17.  	 
\bibitem[Odeyemi ()]{b12}\label{b12} 	 		‘Community-based health insurance programmes and the national health insurance scheme of Nigeria: challenges to uptake and integration’.  		 			Iao Odeyemi 		.  	 	 		\textit{International Journal for Equity in Health}  		2014. 13 p. 20.  	 
\bibitem[Mukangendo et al. ()]{b16}\label{b16} 	 		‘Factors Contributing to Low Adherence to Community-Based Health Insurance in Rural Nyanza District, Southern Rwanda’.  		 			M Mukangendo 		,  		 			M Nzayirambaho 		,  		 			R Hitimana 		,  		 			YamuragiyeA 		.  		 ID 2624591.  	 	 		\textit{Journal of Environmental and Public Health}  		2018. p. .  	 
\bibitem[Jütting ()]{b15}\label{b15} 	 		‘Health Insurance for the poor? Determinants of participation in Community-based Health Insurance Schemes in Rural Senegal’.  		 			Johannes Jütting 		.  	 	 		\textit{OECD Development Centre Working Paper No. 204}  		2003. 2.  	 
\bibitem[Yusuf et al. ()]{b21}\label{b21} 	 		‘Health Insurance Knowledge, Attitude and the Uptake of Community Based Health Insurance Scheme among Residents of a Suburb in Lagos’.  		 			H O Yusuf 		,  		 			O J Kanma-Okafor 		,  		 			T W Ladi-Akinyemi 		,  		 			U T Eze 		,  		 			C C Egwuonwu 		,  		 			A O Osibogun 		.  	 	 		\textit{Nigeria. The West African Journal of Medicine}  		2019. 36  (2)  p. .  	 
\bibitem[Onwujekwe ()]{b3}\label{b3} 	 		‘Investigating determinants of out of-pocket spending and strategies for coping with payments for healthcare in southeast Nigeria’.  		 			Onwujekwe 		.  	 	 		\textit{BMC Health Services Research}  		2010. 10 p. 67.  	 
\bibitem[Adedeji et al.]{b5}\label{b5} 	 		\textit{Knowledge, Practice, and Willingness to Participate in Community Health Insurance Scheme among},  		 			A S Adedeji 		,  		 			A Doyin 		,  		 			O G Kayode 		,  		 			Ayodele Aa 		.  		 	 
\bibitem[Azuogu et al. ()]{b19}\label{b19} 	 		‘Level of awareness, and factors associated with willingness to participate in the National Health Insurance Scheme among traders in Abakaliki main market’.  		 			B N Azuogu 		,  		 			U C Madubueze 		,  		 			C Alo 		,  		 			L U Ogbonnaya 		,  		 			N A Ajayi 		.  	 	 		\textit{Afr J Med Health Sci}  		2016. 15 p. .  	 
\bibitem[Hajizadeh et al. ()]{b20}\label{b20} 	 		\textit{of-pocket expenditures for hospital care in Iran: who is at risk of incurring catastrophic payments? Int J Health Care Finance Econ},  		 			M Hajizadeh 		,  		 			H S Nghiem 		,  		 			Out 		.  		2011. p. .  	 
\bibitem[Wiesmann and Jütting ()]{b14}\label{b14} 	 		‘The Emerging Movement of Community Based Health Insurance in Sub-Saharan Africa: Experiences and Lessons Learned’.  		 			D Wiesmann 		,  		 			J Jütting 		.  	 	 		\textit{afrika spectrum}  		2000. 35  (2) .  	 
\bibitem[Nnamuchi]{b13}\label{b13} 	 		\textit{The Nigerian Social Health Insurance System and the challenges of access to health care: an antidote or a white elephant?},  		 			Obiajulu Nnamuchi 		.  		 \url{http://ssrn.com/abstract=1138276}  		 	 	 (Electronic copy available at) 
\bibitem[Doetinchem et al. ()]{b10}\label{b10} 	 		‘Thinking of introducing social health insurance? Ten questions’.  		 			O Doetinchem 		,  		 			G Carrin 		,  		 			D Evans 		.  	 	 		\textit{World Health Report}  		2010.  (26) .  	 
\bibitem[United Nations, Department of Economic and Social Affairs, Population Division ()]{b0}\label{b0} 	 		\textit{United Nations, Department of Economic and Social Affairs, Population Division},  		 \url{ST/ESA/SER.A/382}  		2017.  	 	 (World Mortality Report 2015 -Highlights) 
\bibitem[Kibret et al. ()]{b8}\label{b8} 	 		‘Willingness to join community based health insurance and its determinants in East Gojjam zone’.  		 			G D Kibret 		,  		 			C T Leshargie 		,  		 			F Wagnew 		.  	 	 		\textit{BMC Res Notes}  		2019. 12 p. 31.  	 
\bibitem[Willingness to Participate in Community Health Insurance Scheme among Households in Nigerian Capital City Sudan Journal of Medical Sciences ()]{b6}\label{b6} 	 		‘Willingness to Participate in Community Health Insurance Scheme among Households in Nigerian Capital City’.  		 \xref{http://dx.doi.org/10.18502/sjms.v12i1.854}{10.18502/sjms.v12i1.854}.  	 	 		\textit{Sudan Journal of Medical Sciences}  		2017. 12  (1)  p. .  	 	 (Households in Nigerian Capital City) 
\bibitem[Minyihun et al. ()]{b1}\label{b1} 	 		‘Willingness to pay for community-based health insurance and associated factors among rural households of Bugna District, Northeast Ethiopia’.  		 			A Minyihun 		,  		 			M G Gebregziabher 		,  		 			Y A Gelaw 		.  	 	 		\textit{BMC Res Notes}  		2019. 12 p. 55.  	 
\bibitem[Shafie and Hassali ()]{b7}\label{b7} 	 		‘Willingness to pay for voluntary community-based health insurance: Findings from an exploratory study in the state of Penang’.  		 			A A Shafie 		,  		 			M A Hassali 		.  	 	 		\textit{Malaysia. Social Science \& Medicine}  		2013. 96 p. .  	 
\bibitem[Babatunde et al. ()]{b17}\label{b17} 	 		‘Willingness-To-Pay For Community Based Health Insurance By Farming Households: A Case Study of Hygeia Community Health Plan In Kwara State’.  		 			R O Babatunde 		,  		 			O A Oyedeji 		,  		 			A E Omoniwa 		,  		 			A H Adenuga 		.  	 	 		\textit{Nigeria. Trakia Journal of Sciences}  		2016. 3 p. .  	 
\end{bibitemlist}
 			 		 	 
\end{document}
