\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={Treatment Characteristics and Determinants of Poor glycaemic Control among Type 2 Diabetes Mellitus (T2DM) Patients Attending Clinics at the Three Selected Health Centres in Suva, Fiji between 2011-2016}, 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{2018 2018-01-15 (revised: 6 Year 2018 15 January 2018)} \def\TheID{\makeatother } \def\TheDate{2018 2018-01-15} \title{Treatment Characteristics and Determinants of Poor glycaemic Control among Type 2 Diabetes Mellitus (T2DM) Patients Attending Clinics at the Three Selected Health Centres in Suva, Fiji between 2011-2016} \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]{Pablo C. Romakin} \author[2]{Sabiha Khan} \affil[1]{ Fiji National University} \renewcommand\Authands{ and } \date{\small \em Received: 10 December 2017 Accepted: 5 January 2018 Published: 15 January 2018} \maketitle \begin{abstract} Introduction and Aim: Type 2 Diabetes Mellitus (T2DM) is a global health problem that is reaching epidemic proportions. It Fiji, it has a high admission rate due to complications and is the number one cause of disease specific mortality. The aim of this study was to determine the proportion of poor glycaemic control level among adult T2DM patients, their treatment characteristics and determinants. Methods: This was a 5-year retrospective medical folder audit on randomly selected folders registered between August 1, 2011 to August 1, 2016 from the three selected health centres in Suva, Fiji who all met the following inclusion criteria: T2DM adults > 18 years old, has recent HbA1c test result in 2017, on treatment for > one year and > 4 clinic visits. A total sample of 338 was derived out of 2,073 T2DM registered during the 5-year period and was calculated using proportionate sampling method. The most recent HbA1c was the parameter used to measure glycaemic control. Logistic regression analysis in SPSS version 22 was used to assess the effect of patient?s treatment determinants on glycaemic control with p < .05 considered as significant. Results: There were 200 female (59.2%) and 138 male (40.8%) T2DM patients 30 - 82 years studied with a mean age of 56.5 years (SD = ± 9.9). The proportion of poor glycaemic control was 77.2%. The HbA1c ranged from 5.0% - 16.6% with a mean of 8.6% (SD = ± 2.4). Majority of T2DM patients were on oral anti-diabetic medications (74.3%). Logistic regression analysis showed T2DM patients on insulin treatment regimen, (OR = 6.72, 95% CI = 2.20, 20.59, p < .001) have 7 times more chances of having poor glycaemic control compared to those taking oral anti-diabetic medications only. Conclusion: There was a high proportion of poor glycaemic control among T2DM patients attending clinics in Suva, Fiji. Those on insulin treatment were significant determinant of poor glycaemic control. Health care providers should consider treatment determinants \end{abstract} \keywords{treatment characteristics, determinants, glycaemic control, type 2 diabetes, fiji.} \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*} \let\tabcellsep& \par I. Introduction ype 2 Diabetes Mellitus (T2DM) is the most common form of diabetes mellitus which constitute 90 -95\% of all cases. \hyperref[b0]{[1]}\hyperref[b1]{[2]}\hyperref[b2]{[3]}. It is a global health problem reaching epidemic proportions where 425 million globally or 8.8\% of adults 20 -79 years of age are estimated to have T2DM and accounted for 10.7\% of global all-cause mortality in this age group. \hyperref[b3]{[4]} In the Pacific Island countries and Territories (PICTs), diabetes prevalence rates of 40\% is common with high rates of complications and poor clinical outcomes with over 70\% of T2DM patients having poor glycaemic control. \hyperref[b4]{[5]} In Fiji, T2DM has a prevalence rate of 15.6\% in adults 25 -64 years and is projected to rise to 19.3\% in 2020 due to rising obesity with consequences for premature mortality and reduced life expectancy. \hyperref[b5]{[6,}\hyperref[b6]{7]} It is also the number one cause of disease specific mortality accounting for 19.7\% of all deaths in 2015 with a mortality rate of 151.8 per 1,000 population and hospital admission rate due to complications of 134.5 per 1,000 admissions. \hyperref[b7]{[8]} T2DM is a heterogeneous metabolic disorder characterized by hyperglycaemia secondary to impairment of insulin secretion, defective insulin action or combination of both. \hyperref[b8]{[9,}\hyperref[b9]{10]} It comes in various forms and can range from those with predominantly resistant phenotype with sufficient beta cell reserve that can be managed by oral anti-hyperglycaemic medications to those with impaired insulin secretion that need to be managed with insulin upon diagnosis or in the early course of the disease. \hyperref[b9]{[10]} T2DM is diagnosed using the diagnostic criteria recommended by the International Diabetes Federation (IDF) and World Health Organization (WHO) in which most of the diabetes management guidelines used worldwide. This diagnostic criteria include the following: (1) Fasting Blood Sugar (FBS) > 7.0 mmol/L (126 mg/dL) or (2) 2-hour plasma glucose reading of > 11.1 mmol/L (> 200mg/dL) following ingestion of 75 g glucose load or Random Blood Sugar (T2DM) is a global health problem that is reaching epidemic proportions. It Fiji, it has a high admission rate due to complications and is the number one cause of disease specific mortality. The aim of this study was to determine the proportion of poor glycaemic control level among adult T2DM patients, their treatment characteristics and determinants.\par Methods: This was a 5-year retrospective medical folder audit on randomly selected folders registered between August 1, 2011 to August 1, 2016 from the three selected health centres in Suva, Fiji who all met the following inclusion criteria: T2DM adults > 18 years old, has recent HbA1c test result in 2017, on treatment for > one year and > 4 clinic visits. A total sample of 338 was derived out of 2,073 T2DM registered during the 5year period and was calculated using proportionate sampling method. The most recent HbA1c was the parameter used to measure glycaemic control. Logistic regression analysis in SPSS version 22 was used to assess the effect of patient's treatment determinants on glycaemic control with p < .05 considered as significant.\par Results: There were 200 female (59.2\%) and 138 male (40.8\%) T2DM patients 30 -82 years studied with a mean age of 56.5 years (SD = ± 9.9). The proportion of poor glycaemic control was 77.2\%. The HbA1c ranged from 5.0\% -16.6\% with a mean of 8.6\% (SD = ± 2.4). Majority of T2DM patients were on oral anti-diabetic medications (74.3\%). Logistic regression analysis showed T2DM patients on insulin treatment regimen, (OR = 6.72, 95\% CI = 2.20, 20.59, p < .001) have 7 times more chances of having poor glycaemic control compared to those taking oral anti-diabetic medications only.\par Conclusion: There was a high proportion of poor glycaemic control among T2DM patients attending clinics in Suva, Fiji. Those on insulin treatment were significant determinant of poor glycaemic control. Health care providers should consider treatment determinants when managing T2DM patients to ensure better glycaemic control.\par (RBS) of > 11.1 mmol/L (> 200mg/dL) in a symptomatic patient or HbA1c > 6.5\% (48 mmol/L). \hyperref[b0]{[1,}\hyperref[b10]{11,} {\ref 12]}. T2DM when poorly controlled increases risk of complications which require frequent hospitalizations, increasing medical care costs, lowering quality of life, disability and premature deaths. \hyperref[b11]{[13]} Research studies have shown that treatment\par Treatment factors include the anti-diabetic medications being used, the number of medications T2DM patients are taking daily, adherence to treatment and clinic attendance. There have been no current studies conducted in Fiji to determine the treatment characteristics and determinants of T2DM with glycaemic control. Hence, the aim of this retrospective study was to determine the proportion of poor glycaemic control level among adult T2DM adult patients attending clinics at the three selected Suva health centres between 2011 -2016, their treatment characteristics and determinants that were associated with it.\par The findings of this study will be beneficial to the Fiji Ministry of Health and Medical services by providing information on the current proportion of poor glycaemic control among T2DM patients as well as the significant treatment determinants that will assist health care providers in providing effective diabetes management plan and interventions tailored to the individual T2DM patient's needs. \section[{II. Methodology}]{II. Methodology}\par This was a health centre-based 5-year retrospective study using randomly selected T2DM patients medical records registered between August 1, 2011-August 2016 at the three randomly selected health centres in Suva, Fiji. The following inclusion criteria were used in this study: (1) T2DM adults > 18 years old, (2) has recent HbA1c test result available in 2017, (3) on treatment for > one year and (4) > 4 clinic visits. Type 1 diabetics and those that did not meet the inclusion criteria including those with incomplete medical records (medical information and blood results) were excluded from the study. A total sample of 338 was derived out of 2,073 T2DM patients registered during the 5 year period who met the inclusion criteria and was calculated using proportionate sampling method (with 5\% margin of error and 95\% Confidence Interval (CI), with 32.2\% proportion of uncontrolled T2DM. \hyperref[b12]{[14]} The sample was proportionately distributed among the three selected health centres. The 338 T2DM medical records were selected using systematic random sampling method where every third folder were chosen from the diabetes register (sampling frame) of the selected health centres. A pre-tested data collection form was used to collect information from the T2DM patient's folders. The International Business Machine (IBM) Statistical Package for Social Science (SPSS) version 22 was used to analyze the data. The continuous variables were analyzed using descriptive statistics and presented as mean, median, standard deviation and range values while the categorical variables were presented as frequency and percentage distribution. The most recent HbA1c test result in 2017 was the parameter used to evaluate glycaemic control where HbA1c > 7\% defined poor glycaemic control while HbA1c < 7\% defined good glycaemic control. \hyperref[b0]{[1,}\hyperref[b10]{11,} {\ref 12]} HbA1c is the gold standard in evaluating glycaemic control as it measures the patient's average blood glucose level during the preceding three months \hyperref[b13]{[15]}\hyperref[b14]{[16]}\hyperref[b15]{[17]} and has a predictive value for diabetes complications. \hyperref[b16]{[18,}\hyperref[b17]{19]}.\par Logistic regression analysis was performed to assess the effect of treatment characteristics on glycaemic control. This was first done using bivariate regression analysis to determine the association of each independent variable to glycaemic control. Then, model 1 was created where all the independent variables were put together in the model to determine their probabilities of contributing to poor glycaemic control to eliminate confounding effects as there were more than one independent variables. Statistical variables with p < .05 were considered significant. Further analysis was done using forward stepwise logistic regression to test the likelihood ratio (chi square difference), starting with the constant only model and adding independent variables one at a time. All the factors that were significant were ultimately introduced in the final model where statistical variables with p < .05 were accepted.\par Ethics approval were obtained from the Fiji National University College Health Research Ethics Committee (CHREC) and the Fiji National Health Research Ethics and Review Committee (FNHRECRC). \section[{III. Results}]{III. Results}\par Out of the total 354 T2DM patient records that were considered eligible for this study, data were collated from 338 records with a response rate of 95\%. Sixteen records were excluded due to incomplete information. There were 200 female (59.2\%) and 138 male (40.8\%) T2DM patients 30 -82 years studied with a mean age of 56.5 years (SD = ± 9.9). \section[{a) Glycaemic Control of T2DM Patients}]{a) Glycaemic Control of T2DM Patients}\par This study found 77.2\% of T2DM patients were poorly controlled (HbA1c > 7\% while only 22.8\% achieved good glycaemic control (HbA1c < 7\%). The HbA1c ranged from 5.0\% to 16.6\% with a mean of 8.6\% (SD ± 2.4). The frequency and percentage distribution of glycaemic control is presented in Table \hyperref[tab_0]{1}. \section[{b) Treatment Characteristics of T2DM Patients}]{b) Treatment Characteristics of T2DM Patients}\par The T2DM patient's treatment characteristics are presented in Table \hyperref[tab_1]{2}. Majority were on oral antidiabetic medications (74.3\%). The mean number of anti-diabetic medications taken daily was 6.46 tablets/injections (SD = ± 3.93). Most of them did not miss taking their daily medications (85.8\%) and did not default their clinic appointments (84.0\%). \hyperref[tab_2]{3} presents the bivariate analysis results of participant's treatment factors on HbA1c control. As shown in Table \hyperref[tab_2]{3}, more than half of T2DM patients with poor glycaemic control were on oral anti-diabetics only (53.3\%). More than one-third of those taking 5-10 medications daily (36.1\%), those who did not miss their medications (66.3\%) and those who were regular with their clinic attendance (65.1\%) have poor glycaemic control. However, in logistic regression analysis, T2DM patients on insulin as part of treatment regimen, was significantly associated with poor glycaemic control (p<.001). \section[{IV. Discussion}]{IV. Discussion}\par The aim of this study was to determine the proportion of poor glycaemic control, its treatment characteristics and determinants among T2DM patients attending clinic at three selected health centres in Suva, Fiji between 2011 -2016 using a 5 year retrospective folder audit. The results of this study found a mean HbA1c of 8.6\% (SD = ± 2.04). This was higher compared to the results of the study conducted by Brian et al among 1,131 T2DM patients in Fiji as part of the HbA1c data collected during the Fiji Eye Health Survey 2009 (FEHS2009) where they found a mean HbA1c of 6.5\% (SD = ± 1.3). This study found 77.2\% of T2DM patients had poor glycaemic control (HbA1c > 7\%) which is similar to the results of the study conducted in Fiji by Kumar et al on their descriptive analysis of diabetesrelated amputations at the Colonial War Memorial Hospital (CWMH) in Fiji between 2010-2012. \hyperref[b18]{[20]} This proportion of poor glycaemic control is also comparable to the results of studies conducted in low and middle income countries. \hyperref[b19]{[21]}\hyperref[b21]{[22]}\hyperref[b22]{[23]} Research had shown that generally over 60\% of T2DM patients do not achieve the recommended glycaemic targets (HbA1c < 7\%) despite stringent control to prevent complications. \hyperref[b23]{[24]}.\par Using logistic regression analysis, this study found that thoseT2DM patients on insulin treatment regimen (OR = 6.72, 95\% Confidence Interval = 2.20, 20.59, p <.001) have 7 times more chances of having poor glycaemic control compared to those on oral antidiabetic medications only. This is similar to studies conducted by Ahmad et al after studying 557 T2DM patients in Malaysia where they found that those receiving oral anti-diabetics were more likely to have good glycaemic control compared to those receiving a combination of insulin and oral anti-diabetics \hyperref[b24]{[25]} and by Huri et al after studying 220 T2DM patients where they found that insulin in combination with oral antidiabetic medications were associated with poor glycaemic control. \hyperref[b25]{[26]} Also, De-Pablos Velasco et al after studying 5,817 T2DM patients across Europe found that those T2DM patients on more complex anti-diabetic treatment were strongly associated with poor glycaemic control (OR = 11.19: 95\% CI = 6.94, 18.04: p <.001). \hyperref[b26]{[27]} This maybe because the use of insulin or combination of insulin and oral anti-diabetic medications are usually reserved to T2DM patients with complicated and progressive disease to control their diabetes. Insulin resistance increased due to diabetes deterioration over the years resulting from decline in ?-cells function. \hyperref[b27]{[28]}.\par In this study, the number of medications taken daily was not associated with poor glycaemic control. Studies, however, confirmed that T2DM patients taking 5 or more medications were likely to have poor glycaemic control compared with patients taking fewer than 5 medications. \hyperref[b26]{[27,}\hyperref[b28]{[29]}\hyperref[b29]{[30]}\hyperref[b30]{[31]} Also in this study, T2DM patients who missed taking medications was not significantly associated with poor glycaemic control. However, a study in the US on missed doses of oral anti-hyperglycaemic medications by Vietri et al found 30\% of T2DM patients who reported missing oral antidiabetic medications in the prior 4 weeks is associated with poor glycaemic control. \hyperref[b31]{[32]} This study found that missing their clinic attendance is not significantly associated with poor glycaemic control. This is similar to the results of the study by Chung et al where they found no statistically significant difference in the clinical outcomes between diabetes clinic attendees and nonattendees. \hyperref[b32]{[33]} Most studies, however, found that clinic nonattendance or one or two missed clinics were found to be a significant risk factor for poor glycaemic control as it resulted to poor treatment adherence. \hyperref[b19]{[21,}\hyperref[b33]{34,}\hyperref[b34]{35]} V. Conclusion T2DM is the most common form of diabetes mellitus which constitute 90\%-95\% of all diabetes mellitus cases. It is a global health issue reaching epidemic proportions. T2DM prevalence rates of 40\% is common in PICTs including Fiji with poor clinical outcomes. The aim of this 5-year retrospective study was to determine the proportion of poor glycaemic control among adult T2DM patients attending clinics at the three selected health centres in Suva between 2011-2016, their associated treatment characteristics and determinants.\par The results of this study showed the age of T2DM patients ranged from 30 to 82 years with a mean age of 56.5 years (SD = ± 9.9) with majority of them females (59.2\%). The proportion of poor glycaemic control was 77.2\% with a mean HbA1c of 8.6\% (± 2.4). On logistic regression analysis, T2DM patients on insulin treatment regimen had 7 times more chances of having poor glycaemic control compared to those on oral antidiabetic medications only (p < .001). This may be because the use of insulin is usually reserved for T2DM patients with complicated and progressive disease to control their diabetes. Other treatment determinants such as number of medications taken daily, missed taking medications and defaulted clinic appointments were not significantly associated with poor glycaemic control.\par This study has a number of strengths worth noting. The results of this study provide an updated proportion of poor glycaemic control among T2DM patients attending clinics in Suva, Fiji and has also identified the treatment determinant of poor glycaemic control.\par The results of this study must be interpreted in the context of its limitations. Since this study was done on secondary data taken from T2DM patient's folders, and variance in the it has some limitations in terms of incomplete documentation, problem with verification of information and variance in the quality of information recorded by the different medical professionals who provided consultation for a particular patient.\begin{figure}[htbp] \noindent\textbf{1} \par \begin{longtable}{P{0.4570754716981132\textwidth}P{0.16839622641509436\textwidth}P{0.22452830188679243\textwidth}} Glycaemic Control\tabcellsep Frequency (n)\tabcellsep Percentage (\%)\\ Good (HbA1c < 7\%)\tabcellsep 77\tabcellsep 22.8\\ Poor (HbA1c >7\%)\tabcellsep 261\tabcellsep 77.2\\ Total\tabcellsep 338\tabcellsep 100.0\end{longtable} \par \caption{\label{tab_0}Table 1 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{2} \par \begin{longtable}{P{0.11514778325123153\textwidth}P{0.45849753694581274\textwidth}P{0.008374384236453201\textwidth}P{0.018842364532019703\textwidth}P{0.035591133004926105\textwidth}P{0.21354679802955667\textwidth}} \tabcellsep \tabcellsep \tabcellsep \tabcellsep Variable\tabcellsep n (\%) (n = 338)\\ \tabcellsep \multicolumn{2}{l}{Type of Treatment}\tabcellsep \tabcellsep \\ \tabcellsep \multicolumn{3}{l}{Oral Anti-Diabetics Only}\tabcellsep \tabcellsep 252 (74.3)\\ \tabcellsep \multicolumn{3}{l}{Insulin Alone +/-Oral}\tabcellsep \tabcellsep 86 (25.7)\\ \tabcellsep \multicolumn{4}{l}{Number of Medication Taken Daily (*M = 6.46, **SD = ± 3.93)}\\ \tabcellsep < 5\tabcellsep \tabcellsep \tabcellsep \tabcellsep 132 (39.1)\\ \tabcellsep 5-10\tabcellsep \tabcellsep \tabcellsep \tabcellsep 157 (46.4)\\ \tabcellsep > 10\tabcellsep \tabcellsep \tabcellsep \tabcellsep 49 (14.5)\\ \tabcellsep \multicolumn{3}{l}{Missed Taking Medications}\tabcellsep \\ \tabcellsep No\tabcellsep \tabcellsep \tabcellsep \tabcellsep 290 (85.8)\\ \tabcellsep Yes\tabcellsep \tabcellsep \tabcellsep \tabcellsep 48 (14.2)\\ \tabcellsep \multicolumn{2}{l}{Defaulted Clinic}\tabcellsep \tabcellsep \\ \tabcellsep No\tabcellsep \tabcellsep \tabcellsep \tabcellsep 284 (84.0)\\ \tabcellsep Yes\tabcellsep \tabcellsep \tabcellsep \tabcellsep 54 (16.0)\\ \tabcellsep \multicolumn{4}{l}{*M -Mean, **SD -Standard Deviation}\\ c) Association\tabcellsep of\tabcellsep T2DM\tabcellsep Patient's\tabcellsep Treatment\\ \multicolumn{4}{l}{Characteristics on Glycaemic Control}\tabcellsep \\ Table\tabcellsep \tabcellsep \tabcellsep \tabcellsep \end{longtable} \par \caption{\label{tab_1}Table 2 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{3} \par \begin{longtable}{P{0.85\textwidth}} Year 2018\\ 3\end{longtable} \par \caption{\label{tab_2}Table 3 :}\end{figure} \backmatter \begin{bibitemlist}{1} \bibitem[ Australian Journal of Rural Health ()]{b20}\label{b20} \textit{}, \url{http://www.ncbi.nlm.nih.gov/medgen/633826} \textit{Australian Journal of Rural Health} 2012. (6) p. . \bibitem[Tin et al. ()]{b4}\label{b4} ‘A profile of diabetes in Pacific Island Countries and Territories’. S T Tin , C M Lee , R Colagiuri . \url{https://www.ncbi.nlm.nih.gov/pubmed/25467624} \textit{Diabetes Res ClinPract} 2015. (2) p. . \bibitem[Sechi et al. ()]{b27}\label{b27} ‘Abnormalities of glucose metabolism in patients with early renal failure’. L A Sechi , C Catena , L Zingaro , A Melis , S De Marchi . \url{https://www.ncbi.nlm.nih.gov/pubmed/11916949} \textit{Diabetes} 2002. 51 p. . \bibitem[Huri et al. ()]{b25}\label{b25} \textit{Association between glycemic control and antidiabetic drugs in type 2 diabetes mellitus patients with cardiovascular complications. Drug Design, Development and Therapy}, H Z Huri , D Y H Ling , W A W Ahmad . \xref{http://dx.doi.org/10.2147/DDDT.S87294}{10.2147/DDDT.S87294}. 2015. 9 p. . \bibitem[Stratton et al. ()]{b16}\label{b16} ‘Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study’. I M Stratton , A I Adler , H A W Neil , D R Matthews , S E Manley , C A Cull . \url{http://www.bmj.com/contentR/321/7258/405} \textit{BMJ} 2000. 321 p. . \bibitem[Pulgaron et al.]{b34}\label{b34} ‘Clinic attendance and health outcomes of youth with type 2 diabetes mellitus’. E R Pulgaron , J Hernandez , H Dehaan . \url{https://www.ncbi.nlm.nih.gov/pubmed/25153557} \textit{Int J Adolesc Med Health} 2015 (3) p. . \bibitem[Qaseem et al.]{b13}\label{b13} ‘Clinical Guidelines Committee of the American College of Physicians Inpatient Glycaemic Control: Best Practice Advice’. Amir Qaseem , Roger Chou , Linda L Humphrey , Paul Shekelle . DOI: 10.1177/ 1062860613489339. \textit{Ann Intern Med} 2012 (2) p. 152. \bibitem[De Pablos-Velasco et al. ()]{b26}\label{b26} ‘Current level of glycaemic control and its associated factors in patients with type 2 diabetes across Europe: data from the PANORAMA study’. P De Pablos-Velasco , K G Parhofer , C Bradley , E Eschwege , L Gonder-Frederick , P Maheux . \url{http//www.medscape.com/viewarticle/817823} \textit{Clinical Endocrinology} 2014. (47) p. 56. \bibitem[Holman et al. ()]{b2}\label{b2} ‘Current prevalence of Type 1 and Type 2 diabetes in adults and children in the UK’. N Holman , B Young , R Gadsby . \xref{http://dx.doi.org/10.1111/dme.12791}{10.1111/dme.12791}. \url{http://dx.doi.org/10.1111/dme.12791} \textit{Diabet Med J Br Diabet Assoc} 2015. 32 p. . \bibitem[Punthakee et al. ()]{b8}\label{b8} ‘Definition, classification and diagnosis of diabetes, prediabetes and metabolic syndrome’. Z Punthakee , R Goldenberg , P Katz . \url{http://www.canadianjournalofdiabetes.com} \textit{Can J Diabetes} 2018. 2018. p. . \bibitem[Kumar et al. ()]{b18}\label{b18} ‘Descriptive analysis of diabetes-related amputations at the Colonial War memorial Hospital’. K Kumar , W Snowdon , S Ram , S Khan , M Cornelius , I Tukana , S Reid . \url{http://www.ingentaconnect.com/content/iuatld/pha/2014/00000004/00000003/art00008} \textit{Public Health Action Journal} 2010-2012. 2014 (3) p. . \bibitem[Lin et al.]{b6}\label{b6} ‘Diabetes and obesity trends in Fiji over 30 years’. S Lin , I Tukana , C Linhart , S Morrel , R Taylor , P Vatucawaqa . \xref{http://dx.doi.org/.10.1111/1753-0407.12326}{.10.1111/1753-0407.12326}. \textit{J. Diabetes} 2016 (4) p. . \bibitem[Chung et al. ()]{b32}\label{b32} ‘Diabetes clinic attendance improves diabetes management in an urban Aboriginal and Torres Strait Islander population’. F Chung , A Herceg , M Bookallil . \url{https://www.racgp.org.au/afp/2014/november/diabetes-clinic-attendance-improves-diabetes-management-in-an-urban-aboriginal-and-torres-strait-islander-population/} \textit{RACGP} 2014. (11) p. . \bibitem[Nanditha et al. ()]{b11}\label{b11} ‘Diabetes in Asia and the Pacific: implications for the global epidemic’. A Nanditha , A Ramachandran , S Chamukuttan , J C C Chand , K S Chia , J E Shaw , P Zimmet . \xref{http://dx.doi.org/10.2337/dc15-1536}{10.2337/dc15-1536}. \textit{Diabetes Care} 2016. 39 p. . \bibitem[Morell et al. ()]{b5}\label{b5} ‘Diabetes incidence and projections from prevalence surveys in Fiji’. S Morell , S Lin , I Tukana , C Linhart , R Taylor , P Vatucawaqa . \xref{http://dx.doi.org/10.1186/s12963-016-0114-0}{10.1186/s12963-016-0114-0}. \url{https://pophealthmetrics.biomedcentral.com/articles/10.1186/s12963-016-0114-0} \textit{Biomed Central} 2016. (45) p. . \bibitem[Karalliedde and Gnudi ()]{b9}\label{b9} ‘Diabetes mellitus, a complex and heterogeneous disease, and the role of insulin resistance as a determinant of diabetic kidney disease’. J Karalliedde , L Gnudi . \xref{http://dx.doi.org/10.1093/ndt/gfu405}{10.1093/ndt/gfu405}. \textit{Nephrol Dial Transplant} 2016. 31 p. . \bibitem[Islahudin and Paraidathathu]{b24}\label{b24} ‘Factors associated with good glycemic control among patients with type 2 diabetes mellitus’. Ahmad N S Islahudin , F Paraidathathu , T . \xref{http://dx.doi.org/10.1111/jdi.12175}{10.1111/jdi.12175}. \textit{Journal of Diabetes Investigation} 2014 (5) p. . \bibitem[Timothy]{b22}\label{b22} ‘Factors influencing glycaemic control in diabetics at three community health centres in Johannesburg’. G Timothy . S0168-8227(11)00 097-0/pdf. \url{http://www.diabetesresearchclinicalpractice.com/article/} \textit{Diabetes Research Clinical Practice} 2010 p. . \bibitem[Fiji Ministry of Health. Non-communicable Disease Steps Survey ()]{b12}\label{b12} \textit{Fiji Ministry of Health. Non-communicable Disease Steps Survey}, 2002. p. 32. \bibitem[Busch et al. ()]{b29}\label{b29} ‘Glycaemic control and anti-diabetic therapy in patients with diabetes mellitus and chronic kidney disease-crosssectional data from the German Chronic Kidney Disease (GCKD) cohort’. M Busch , J Nadal , M Schmid . \url{https://www.ncbi.nlm.nih/gov/pmc/articles/PMC4902996/} \textit{BMC Nephrology} 2016. 17 p. 59. \bibitem[Abougalambou et al. ()]{b21}\label{b21} ‘Glycaeted haemoglobin control among type 2 diabetes patients attending a teaching hospital in Malaysia’. S Abougalambou , A Suleiman , A Abougalambou . \url{http://www.scholarsmepub.com/} \textit{Saudi Journal of Medical Pharmaceutical Science} 2015. p. . \bibitem[Nayal et al. ()]{b15}\label{b15} ‘Glycated haemoglobin -the clinical and Biochemical divide: A review’. B Nayal , C V Raghuveer , N Suvarna , Gbk Manjunatha , D O Sarsina , R N Devaki . \url{http://www.globalresearchonline.net} \textit{Int J Pharm Sci Rev Res} 2011. 21 p. . \bibitem[Ryden et al. ()]{b14}\label{b14} ‘Guidelines on diabetes, pre-diabetes, and cardiovascular disease’. L Ryden , E Standl , M Bartnik , G Van Den Berghe , J Betteridge , M J De Boer . \xref{http://dx.doi.org/10.1093/eurheartj/ehl260}{10.1093/eurheartj/ehl260}. \textit{Eur Heart J} 2007. 28 p. . \bibitem[Prato et al. ()]{b23}\label{b23} ‘Improving glucose management: ten steps to get more patients with type 2 diabetes to glycaemic goal’. Del Prato , S Felton , A M Munro , N Nesto , R Zimmet , P Zinman , B . \xref{http://dx.doi.org/10.1111/j.1742-1241.2005.00674.x}{10.1111/j.1742-1241.2005.00674.x}. \textit{Int J Clin Pract} 2005. (11) p. . \bibitem[Bruno et al. ()]{b1}\label{b1} ‘Incidence of Type 1 and Type 2 Diabetes in Adults Aged 30-49 Years: The population-based registry in the province of Turin’. G Bruno , C Runzo , P Cavallo-Perin . \xref{http://dx.doi.org/10.2337/diacare.28.11.2613}{10.2337/diacare.28.11.2613}. \url{http://dx.doi.org/10.2337/diacare.28.11.2613} \textit{Italy. Diabetes Care} 2005. 28 p. . \bibitem[International Diabetes Federation Eighth edition. IDF Diabetes Atlas ()]{b3}\label{b3} \url{http:/www.diabetesatlas.org} \textit{International Diabetes Federation Eighth edition. IDF Diabetes Atlas}, 2017. p. . \bibitem[International Diabetes Federation. Recommendations for managing type 2 diabetes in primary care. International Diabetes Federation ()]{b10}\label{b10} \textit{International Diabetes Federation. Recommendations for managing type 2 diabetes in primary care. International Diabetes Federation}, \url{https://www.idf.org/managing-type2-diabetes} 2006. 2017. (Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia report of WHO/IDF consultation) \bibitem[Jyun-You et al.]{b19}\label{b19} Y Jyun-You , M Chia-Fen , H Chao-Yu . \textit{Medical appointment no shows associated with poor glycaemic control among Taiwanese aborigines}, \bibitem[Ministry of Health and Medical Services Fiji Ministry of Health and Medical Services ()]{b7}\label{b7} ‘Ministry of Health and Medical Services Fiji’. \textit{Ministry of Health and Medical Services}, (Suva Fiji) 2015. 2016. (Annual Report) (Parliament of Fiji parliamentary paper no. 79 of 2016) \bibitem[Vietri et al.]{b31}\label{b31} ‘Missed doses of oral anti-hyperglycemic medications in US adults with type 2 diabetes mellitus: prevalence and self-reported reasons’. J T Vietri , C S Wlodarczyk , R Lorenzo , S Rajpathak . \xref{http://dx.doi.org/10.1080/03007995.2016.1186614}{10.1080/03007995.2016.1186614}. \url{https://doi.org/10.1080/03007995.2016.1186614} \textit{Current Medical Research and Opinion} 2016 (9) p. . \bibitem[Grant et al. ()]{b30}\label{b30} \textit{Polypharmacy and medication adherence in patient with type 2 diabetes. Diabetes Care}, R W Grant , D E Singer , N G Devita , J Meigs . \url{https://www.care.diabetesjournals.org/content/diacare/26/5/1408.full.pdf} 2003. 26 p. . \bibitem[Juarez et al. ()]{b28}\label{b28} \textit{Preventing chronic disease-factors associated with poor glycaemic control}, D Juarez , T Sentell , S Tokomaru , R Go , J W Davis , M M Mau . \url{https://www.cdc.gov/pcd/issues/2012/12\textunderscore 0065.htm} 2012. 2017 Mar 15. Hawaii. p. . \bibitem[Kline and Kline ()]{b17}\label{b17} ‘Relation of glycaemic control to diabetic complications and health outcomes’. R Kline , B E Kline . \url{Rhttps://www.ncbi.nlm.nih.gov/pubmed/9850488} \textit{Diabetes Care} 1998. 3 p. . \bibitem[Standards of medical care in diabetes-2018 Diabetes Care ()]{b0}\label{b0} ‘Standards of medical care in diabetes-2018’. \xref{http://dx.doi.org/10.2337/dc18-5002}{10.2337/dc18-5002}. \url{https://doi.org/10.2337/dc18-5002} \textit{Diabetes Care} 2018. American Diabetes Association. (1) p. . \bibitem[Currie et al.]{b33}\label{b33} \textit{The impact of treatment noncompliance on mortality in people with type 2 diabetes. Diabetes Care}, C J Currie , M Peyrot , C L Morgan , C D Poole , S Jenkins-Jones , R R Rubin , C M Burton , M Evans . \xref{http://dx.doi.org/10.2337/dc11-1277}{10.2337/dc11-1277}. 2012 p. . \end{bibitemlist} \end{document}