<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0256-9574</journal-id>
<journal-title><![CDATA[SAMJ: South African Medical Journal]]></journal-title>
<abbrev-journal-title><![CDATA[SAMJ, S. Afr. med. j.]]></abbrev-journal-title>
<issn>0256-9574</issn>
<publisher>
<publisher-name><![CDATA[Health and Medical Publishing Group]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0256-95742012000600074</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Twelve-month outcomes of patients admitted to the acute general medical service at Groote Schuur Hospital]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Stuart-Clark]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vorajee]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zuma]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[van Niekerk]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<xref ref-type="aff" rid="A04"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Burch]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Raubenheimer]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<xref ref-type="aff" rid="A04"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Peter]]></surname>
<given-names><![CDATA[J G]]></given-names>
</name>
<xref ref-type="aff" rid="A05"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,University of Cape Town Department of Medicine ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="A02">
<institution><![CDATA[,University of Cape Town Public Health (London) ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="A03">
<institution><![CDATA[,University of Cape Town Public Health (London) ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="A04">
<institution><![CDATA[,University of Cape Town Department of Medicine ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="A05">
<institution><![CDATA[,University of Cape Town Department of Medicine ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2012</year>
</pub-date>
<volume>102</volume>
<numero>6</numero>
<fpage>549</fpage>
<lpage>553</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.za/scielo.php?script=sci_arttext&amp;pid=S0256-95742012000600074&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><self-uri xlink:href="http://www.scielo.org.za/scielo.php?script=sci_abstract&amp;pid=S0256-95742012000600074&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><self-uri xlink:href="http://www.scielo.org.za/scielo.php?script=sci_pdf&amp;pid=S0256-95742012000600074&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[OBJECTIVES: Hospitalisation for medical illness has ongoing impact on individuals, healthcare services and society beyond discharge. This study&#8217;s objective was to determine the 12-month mortality and functional outcomes of patients admitted to the acute medical service at Groote Schuur Hospital (GSH). METHODS: Follow-up, using the hospital records system and provincial death registry, together with telephonic interviews or home visits, was attempted for 465 medical inpatients admitted to GSH between 14 September and 16 November 2009. Functional outcomes were assessed using the Katz activities of daily living (ADL) score and Barthel index (BI). OUTCOME MEASURES: The major study outcomes included: 12-month mortality (overall and unexpected), changes in functional status and pre- and post-admission employment rates. RESULTS: Inpatient mortality was 11%. At 12-month follow-up, 35% (145/415) were deceased and 30% (125/415) could not be traced; 38% (55/145) of deaths were considered expected and unexpected mortality was associated with age >40 years (p=0.02) and an admission urea >7.0 mmol/l (p=0.004). Katz ADL deteriorated in 15% (21/143) of interviewed patients and was associated with age >50 years (p=0.005); 23% (33/143) had improved Katz ADL associated with admission human immunodeficiency virus (HIV) (p=0.01), tuberculosis (TB) infection (p=0.05) and sepsis (p=0.02). Employment rates declined from 41% (59/145) pre-admission to 18% (26/145) at 12 months (p<0.001), with little increase in the number of persons receiving disability grants. Twenty per cent (29/145) of patients required hospital readmission and this was associated with ADL functional decline (p=0.01). CONCLUSIONS: There was a very high overall mortality of 42% in patients admitted to the general medical wards. Significant employment decline and readmission rates highlight the additional economic and societal burdens of hospitalisation due to medical illness in the survivors.]]></p></abstract>
</article-meta>
</front><body><![CDATA[ <p align="right"><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>RESEARCH</b></font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="4"><b><a name="top"></a>Twelve-month    outcomes of patients admitted to the acute general medical service at Groote    Schuur Hospital</b></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>H Stuart-Clark<sup>I</sup>;    N Vorajee<sup>I</sup>; S Zuma<sup>II</sup>; L van Niekerk<sup>IV</sup>; V Burch<sup>III</sup>;    P Raubenheimer<sup>IV</sup>; J G Peter<sup>V</sup></b></font></p>     <p><sup><font face="Verdana, Arial, Helvetica, sans-serif" size="2">I</font></sup><font face="Verdana, Arial, Helvetica, sans-serif" size="2">MB    ChB. Department of Medicine, University of Cape Town    <br>   <sup>III</sup>MB ChB, MSc Public Health (London). Department of Medicine, University    of Cape Town    <br>   <sup>IV</sup>MB BCh, MMed, PhD, FCP (SA), FRCP (London). Department of Medicine,    University of Cape Town    <br>   <sup>V</sup>MB BCh, FCP (SA). Department of Medicine, University of Cape Town    ]]></body>
<body><![CDATA[<br>   <sup>VI</sup>MB ChB, FCP (SA). Department of Medicine, University of Cape Town</font></p>     <p>&nbsp;</p>     <p>&nbsp;</p> <hr size="1" noshade>     <p><font size="2" face="Verdana, Arial, Helvetica, sans-serif"><b>ABSTRACT</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>OBJECTIVES:</b>    Hospitalisation for medical illness has ongoing impact on individuals, healthcare    services and society beyond discharge. This study&#146;s objective was to determine    the 12-month mortality and functional outcomes of patients admitted to the acute    medical service at Groote Schuur Hospital (GSH).    <br>   <b>METHODS:</b> Follow-up, using the hospital records system and provincial    death registry, together with telephonic interviews or home visits, was attempted    for 465 medical inpatients admitted to GSH between 14 September and 16 November    2009. Functional outcomes were assessed using the Katz activities of daily living    (ADL) score and Barthel index (BI).    <br>   <b>OUTCOME MEASURES:</b> The major study outcomes included: 12-month mortality    (overall and unexpected), changes in functional status and pre- and post-admission    employment rates.    <br>   <b>RESULTS:</b> Inpatient mortality was 11%. At 12-month follow-up, 35% (145/415)    were deceased and 30% (125/415) could not be traced; 38% (55/145) of deaths    were considered expected and unexpected mortality was associated with age &gt;40    years (p=0.02) and an admission urea &gt;7.0 mmol/l (p=0.004). Katz ADL deteriorated    in 15% (21/143) of interviewed patients and was associated with age &gt;50 years    (p=0.005); 23% (33/143) had improved Katz ADL associated with admission human    immunodeficiency virus (HIV) (p=0.01), tuberculosis (TB) infection (p=0.05)    and sepsis (p=0.02). Employment rates declined from 41% (59/145) pre-admission    to 18% (26/145) at 12 months (p&lt;0.001), with little increase in the number    of persons receiving disability grants. Twenty per cent (29/145) of patients    required hospital readmission and this was associated with ADL functional decline    (p=0.01).    <br>   <b>CONCLUSIONS:</b> There was a very high overall mortality of 42% in patients    admitted to the general medical wards. Significant employment decline and readmission    rates highlight the additional economic and societal burdens of hospitalisation    due to medical illness in the survivors.</font></p> <hr size="1" noshade>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">General medical    illnesses, severe enough to necessitate hospitalisation, are known to have profound    impacts on individuals, families, communities and healthcare services. Inpatient    mortality and acute functional declines aside, hospitalised medical patients    post discharge are known to have higher 12-month mortality rates<sup>1</sup>    and be at increased risk for progressive functional declines. Families are burdened    with long-term care-giving responsibilities and the financial implications of    employment loss. In addition 'hospitalisation begets hospitalisation' and already    overburdened health services face the increased utilisation of resources through    hospital readmissions or outpatient visits. Furthermore, the high burden of    illness in the setting of a country faced with the dual epidemics of human immunodeficiency    virus (HIV) and chronic diseases of lifestyle places constant pressure on the    optimal utilisation of acute hospital beds. Detailed short-, intermediate- and    long-term follow-up and outcomes data are crucial to a better understanding    of these impacts, and to inform patients, healthcare workers and policy makers.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Short-term outcomes,    such as inpatient mortality and acute functional decline following hospitalisation,    have been extensively studied and are well established for a number of medical    illnesses in both developed and developing country settings. However, few data    are available on the intermediate- and long-term outcomes of general medical    hospital admissions, especially in developing country settings where documentation    and follow-up are problematic. To our knowledge, and despite the fact that the    majority of African hospitals provide generalist secondary-level medical services,    there are no intermediate-term outcome studies of general medical cohorts from    high HIV-prevalent developing countries. Studies from developed country settings    are largely restricted to elderly or intensive care unit (ICU) cohorts<sup>1</sup>    with low HIV prevalence, or to specific medical conditions (e.g. ischaemic heart    disease<sup>2</sup> or cerebrovascular disease<sup>3</sup> and their disease-specific    outcomes). The South African healthcare context is unique. With intersecting    burdens of communicable and non-communicable disease, we aimed to conduct a    12-month follow-up study of a cohort of hospitalised, medical inpatients admitted    to a tertiary South African hospital.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Methods</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Study population</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Our study population    consisted of 465 patients admitted to the acute general medical wards at Groote    Schuur Hospital (GSH), Cape Town, between 14 September and 16 November 2009.    During the 9-week study period all patients aged &gt;16 years, referred from    either the emergency unit or a district-level hospital to GSH, were eligible    for inclusion and enrolled. Patients directly admitted to the ICU, those with    acute coronary syndromes, patients admitted to palliative care beds (where death    is anticipated within 48 hours of admission) and those admitted to the 'short-stay    ward' (where patients are admitted with predominantly chronic disease and have    an anticipated hospital stay &lt;48 hours) were excluded. Verbal consent was    obtained from all patients and the study received ethics approval from the University    of Cape Town Human Research Ethics Committee. On admission, all baseline demographic    and clinical information and pre-admission functionality data were collected.    After discharge, folders underwent blinded review to document discharge diagnoses    and identify patients in whom death might have been anticipated within 12 months    post discharge. Standardised prognostic indicator guidelines were used to identify    these patients.<sup>4,5</sup></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Twelve-month    follow-up</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">All patients' contact    details (identity numbers, telephone numbers and addresses) were obtained from    the clinical records on the 'Clinicom' system (Clinicom is the provincial hospital    computer record-keeping system used at GSH) and from the patients' folders,    when otherwise unavailable. Additionally, Clinicom and/or the Western Cape provincial    death registry was searched for details about patient mortality, date of death,    hospital readmissions and/or outpatient clinic visits. Telephonic interviews    were then attempted for all patients approximately 12 months following discharge    from hospital. When patients were unable to be contacted by telephone, but had    a valid address, a community healthcare worker undertook home visits. Patients    unable to be contacted by any of the above methods were considered 'lost-to-follow-up'.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Functional outcome    assessments</b></font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Functional outcome    assessments were conducted at either telephonic interview or a home visit. Where    possible, patients were interviewed, but if unavailable, the interview was conducted    with a first-degree relative with adequate knowledge of patient status. A standardised    questionnaire in the patient's/family member's first language was used. Data    collected included a pre- and post-admission Katz activities of daily living    (ADL) scale and Barthel index (BI), pre-and post-admission employment and disability    grant status, and post-discharge readmissions, as well as outpatient, emergency    room and private doctor visits. Both the BI and Katz ADL scales are standardised,    validated indices used to assess patient functionality and independence. The    BI is an ordinal scale considering 10 factors; independence in basic living    activities gives a score out of 90;<sup>6</sup> the Katz</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">ADL score, although    similar to the BI, assesses 6 ADL and categorises patients A - G, with category    A equating to full independence.<sup>7</sup></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Statistical    analysis</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Simple descriptive    statistics were employed and the 12-month deceased, untraceable and interviewed    patient groups were compared using chi-squared and Kruskal-Wallis tests accordingly.    Odds ratios (ORs) (95% confidence interval (CI)) were calculated for predictors    of 12-month mortality (and unexpected 12-month mortality) as well as for an    improvement or deterioration in functional status using logistic regression    analysis. For this analysis, 'untraceable' patients were considered to be alive    since their names could not be found in the provincial death registry. A change    of one category and 5 points was considered clinically significant for the Katz    ADL scale and BI, respectively. In the univariate analysis for predictors of    overall and unexpected 12-month mortality, age and HIV-positivity were treated    as potential confounders when considered to be independently associated with    both the predictor and mortality, e.g. age and cancer, HIV and tuberculosis    (TB). STATA IC, version 10 (Stata Corp, Texas, USA) was used for all statistical    analyses.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Results</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">During the 9-week    study period, 465 patients referred for admission to the acute general medical    wards were enrolled. Eleven per cent (55/465) of patients died during hospital    admission, and consequently 12-month follow-up was attempted for 415 patients.    <a href="#f1">Fig. 1</a> illustrates the 3 major follow-up outcome groups and    details regarding each subgroup. Despite intensive efforts (including access    to the provincial death registry), 30% (125/415) of patients could not be traced    at 12 months. There was no association between lower levels of education and    'lost-to-follow-up' category <i>(p</i>=0.98). However, being fully independent    for ADL pre-admission and being of African race were associated with lost-to-follow-up    <i>(p</i>=0.002 and <i>p</i>=0.01, respectively). Thirty-five per cent (145/415)    of patients in the cohort were traced via telephonic interview or home visit.</font></p>     <p><a name="f1"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/samj/v102n6/74f01.jpg"></p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Demographic and    clinical details of all study patients, stratified by major outcome groups,    are presented in <a href="/img/revistas/samj/v102n6/74t01.jpg">Table 1</a>.    Overall, the median (interquartile range (IQR)) age was 44 (31 - 50), and racial    and educational demographics reflected known provincial statistics. Patients    who were deceased at 12-month follow-up were significantly older than both those    interviewed and lost-to-follow-up <i>(p</i>&lt;0.001). Thirty-one per cent (146/415)    were known to be HIV positive with no differences in prevalence between outcome    groups. In HIV-infected patients, the median (IQR) CD4 cell count was 111 (61    - 231).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Of the HIV-infected    patients 38% (56/146) were receiving highly active antiretroviral therapy (HAART)    pre-admission with no differences between groups. The majority of patients (72%)    admitted to the hospital were fully independent prior to admission, and median    (IQR) length of hospital stay was 6 (4 - 11) days. On admission, the median    (IQR) modified early warning score (MEWS) was 2 (1 - 4); notably, scores were    not significantly higher in patients deceased at 12-month follow-up. Only 14%    (68/465) of patients were categorised as having a high-risk MEWS &gt;5. However,    inpatient delirium occurred in 20% (28/145) of deceased patients compared with    only 10% (14/145) of those available for interviews <i>(p</i>=0.02).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Twelve-month mortality    in the study cohort was 35% (114/415). In the 80% (116/145) of patients where    the date of death was known, the median (IQR) days-to-death was 109 (37 - 246)    with 46% (53/116) of deaths occurring in the first 3 months following hospital    discharge; 38% (55/145) of 12-month mortality was anticipated by the discharge    clinician (with 23% (34/145) of deceased patient folders not available for review).    Combined inpatient and 12-month mortality was 42% (195/465). <a href="#t2">Table    2</a> illustrates demographic and clinical associations of 12-month mortality    stratified by overall and unexpected 12-month mortality. Age &gt;50 years, an    admission urea &gt;7 mmol/l and inpatient delirium were associated with an increased    likelihood of 12-month mortality <i>(p</i>=0.01, <i>p</i>=0.007 and <i>p</i>=0.05,    respectively). Additionally, a primary diagnosis of cancer and respiratory disease    increased overall 12-month mortality <i>(p</i>=0.04 and <i>p</i>=0.05, respectively).    The only demographic or clinical associations with unexpected 12-month mortality    were age &gt;40 years and admission urea &gt;7.0 mmol/l <i>(p</i>=0.02 and <i>p</i>=0.004).    No specific primary admission diagnosis or chronic underlying medical condition    was associated with a significant increase in unexpected 12-month mortality.    In HIV- infected patients, 12-month mortality was 27% (39/145), with the combined    inpatient and 12-month mortality being 28% (54/195). HIV infection was not associated    with an increased likelihood of 12-month mortality <i>(p</i>=0.15).</font></p>     <p><a name="t2"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/samj/v102n6/74t02.jpg"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Pre- and 12-month    post-discharge functional ADL assessments using the Katz ADL scale and BI were    completed for 143 and 140 patients, respectively. <a href="#f2">Fig. 2</a> illustrates    the changes between preadmission and 12-month ADL functionality for the two    indices and the important admission determinants of worse, or improved, ADL    functionality. Results were similar for both indices (51% and 62% of patients'    Katz ADL and BI scores, respectively, did not change from pre-admission levels);    23% and 26% of patients' Katz ADL and BI scores, respectively, showed improvement    at 12 months post discharge. Whether the BI or Katz ADL index was used, improvement    in ADL functioning was associated with HIV positivity (Katz ADL OR (95% CI)    3.2 (1.3 - 7.7), <i>p</i>=0.01); the same proved true for an admission diagnosis    of TB (Katz ADL OR (95% CI) 2.5 (1.0 - 6.3), <i>p</i>=0.04) or sepsis (Katz    ADL OR (95% CI) 5.4 (1.2 - 23.4), <i>p</i>=0.02).In 15% and 23% of patients,    Katz ADL and BI scores, respectively, had worsened at 12 months post discharge.    A worsening ADL functionality, using either index, was associated only with    an age &gt;50 years (Katz ADL OR (95% CI) 4.1 (1.5 - 11.2), <i>p</i>=0.005).</font></p>     <p><a name="f2"></a></p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p align="center"><img src="/img/revistas/samj/v102n6/74f02.jpg"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">At 12-month follow-up    only 18% (27/145) of interviewed patients were in active employment compared    with 33% (48/145) prior to hospitalisation <i>(p</i>=0.005). A worsening Katz    ADL score was associated with employment loss (OR (95% CI) 3.0 (1.1 - 8.7),    <i>p</i>=0.04).</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Despite the loss    of employment among interviewed patients, there was not a significant increase    in the number of people accessing disability grants (<i>p</i>=0.11). Of interviewed    patients 19% (27/145) required readmission in the 12 months following discharge,    with a median (range) of 1 (1 - 6) hospitalisations per patient. Additionally,    47% (68/145), 5% (7/145) and 10% (15/145) of interviewed patients had accessed    healthcare services in the form of outpatient consultations (range 4 - 10 occasions),    emergency room visits (1 - 2) and private general practitioner consultations    (1 - 3), respectively. A worsening Katz ADL score was associated with hospital    readmission (OR (95% CI) 3.5 (1.3 - 9.2), <i>p</i>=0.01).</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Discussion</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">This is the first    descriptive study of the 12-month outcomes of a cohort of patients admitted    to an acute general medical service in a South African hospital. It highlights    serious impacts deriving from severe medical illness that necessitates admission    to hospital and important future implications for both the individual and public    health. The key study findings were: <i>(i)</i> a very high 12-month mortality    associated with known risk factors, but interestingly, not with HIV-infection;    <i>(ii)</i> more than a third of 12-month mortality could be anticipated by    clinicians at discharge, revealing the very high potential burden of patients    on palliative care services, were they available, but who are accessing care    as acute general medical admissions, and among whom <i>(iii)</i> approximately    20% required hospital readmission; <i>(iv)</i> an improvement in the ADL functioning    of close to a quarter of patients interviewed at 12 months post discharge and    the association of improvement with admission for chronic, but treatable, conditions    such as HIV and TB; <i>(v)</i> a &gt;80% reduction in employment rates associated    with declining functionality; and <i>(vi)</i> the inability, despite modern    record-keeping systems and household visits, to trace all patients.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">While it is known    that inpatient mortality in the general medical wards of GSH is approximately    10% (unpublished data), the 12-month mortality rates from acute general medical    inpatient cohorts has not been previously established. The high 12-month mortality    of 35%, and high combined overall cohort mortality rate of 42% (inpatient and    outpatient 12-month deaths together), are comparable to those of follow-up studies    of ICU cohorts in developed countries.<sup>1,8</sup> This may be explained,    in part, by the admission of a large number of patients with end-stage disease,    who would fulfil criteria for referral to palliative care services. Unexpectedly,    given that a third of patients were HIV-infected with a median CD4 cell count    &lt;200 cells/ml, and that less than half were receiving HAART pre-admission,    HIV infection was found not to be associated with either an increased risk of    overall or unexpected 12-month mortality. In fact, the inpatient mortality rate    was lower than in a cohort of hospitalised HIV-infected patients with similar    median CD4 counts in West Africa,<sup>9</sup> and the 12-month mortality rate    was only marginally higher than the 5-year figures from a local primary care    ARV-clinics study,<sup>10</sup> reflecting the success of local infectious disease    services and ARV-clinic treatment programmes. Moreover, an admission diagnosis    of both HIV and TB infection was associated with improved functionality at 12    months in interviewed patients. These data suggest that patients deriving the    greatest benefit from an acute hospital admission are those who are younger    with acute deteriorations in chronic, yet treatable, conditions such as HIV    and TB.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">South Africa's    inpatient medical services rival those in many developed countries, yet high    lost-to-follow-up rates remain a major obstacle to ensuring high-quality long-term    care. Patient migration and social and economic deprivation, together with inadequate    record-keeping systems and personnel, mean that follow-up of patients with chronic    and severe medical illness is a significant challenge. Lost-to-follow-up rates    of between 5% and 15% are not uncommon in research and community clinic settings    in South Africa.<sup>11,12</sup> From a public health perspective, the need    for strengthening hospital record-keeping, as well as the human resources to    improve service delivery, is exposed.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Our study has a    number of limitations. The large lost-to-follow-up number means that study conclusions    regarding functional outcomes should be interpreted cautiously. Nonetheless,    even if patients with expected mortality are removed, close to a third of cohort    patients were deceased at 12 months. Moreover, important demographic and clinical    characteristics (<a href="/img/revistas/samj/v102n6/74t01.jpg">Table 1</a>)    did not differ significantly between the interviewed patients and those who    were lost to follow-up. Therefore, it is unlikely that the addition of these    patients to the functional outcome data would have significantly altered our    conclusions. Accuracy of follow-up data collected using telephonic interviews,    despite being conducted in patients' first language, is dependent on individual    and/or family recall; this is an important study limitation, carrying the implication    that hospital readmission rates and outpatient visits may be underestimates.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">This study clearly    identifies patients admitted to general medical wards as a very high-risk group    for early mortality. A larger study is required to identify clear predictors    of unexpected early mortality. Until such data are available, it may be prudent    that patients discharged from a tertiary hospital be cared for as a high-risk    group, arguably, with specialist follow-up to ensure optimal post-discharge    treatment care. At present, the majority of patients admitted to GSH's general    medical services are not afforded specialist follow-up after discharge, but    are referred to their local community health centres. Whether more intensive    follow-up (and the required resources that would be required) might reduce early    mortality is a hypothesis that deserves to be tested. The requirement for improved    palliative services for such patients is highlighted.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Author contributions.</b>    HSC and NV are equally contributing first authors. JGP and VB designed the study.    HSC, NV, SZ, LV generated the data. HSC, NV, SZ, PR and JGP analysed the data.    All authors were involved in the manuscript preparation.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>References</b></font></p>     <!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">1.&nbsp;Eddleston    JM, White P, Guthrie E. Survival, morbidity, and quality of life after discharge    from intensive care. Crit Care Med 2000;28(7):2293-2299.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=567534&pid=S0256-9574201200060007400001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">2.&nbsp;Smith K,    Ross D, Connolly E. Investigating six-month health outcomes of patients with    angina discharged from a chest pain service. Eur J Cardiovasc Nurs 2002;1(4):253-264.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=567535&pid=S0256-9574201200060007400002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">3.&nbsp;Herlitz    J, Karlson BW, Sjolin M, Lindquist J. Ten-year mortality for patients discharged    after hospitalization for chest pain or other symptoms raising suspicion of    acute myocardial infarction in relation to hospital discharge diagnosis. J Intern    Med 2002;251(6):526-532.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=567536&pid=S0256-9574201200060007400003&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">4.&nbsp;Boyd K,    Murray SA. Recognising and managing key transitions in end of life care. BMJ    2010;341:c4863.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=567537&pid=S0256-9574201200060007400004&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">5.&nbsp;Centre    National Gold Standards Framework. The GSF Prognostic Indicator Guidance. England    2008. <a href="http://www.goldstandardsframework.nhs.uk/./img/revistas/samj/v102n6/CrawlerResourceServer.asp" target="_blank">www.goldstandardsframework.nhs.uk/./img/revistas/samj/v102n6/CrawlerResourceServer.asp</a>    (accessed February 2012).</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=567538&pid=S0256-9574201200060007400005&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">6.&nbsp;Mahoney    FI, Barthel DW. Functional evaluation: The Barthel Index. Md State Med J 1965;14:61-65.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=567539&pid=S0256-9574201200060007400006&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">7.&nbsp;Katz S,    Downs TD, Cash HR, Grotz RC. Progress in development of the index of ADL. Gerontologist    1970;10(1):20-30.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=567540&pid=S0256-9574201200060007400007&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">8.&nbsp;Broomhead    LR, Brett SJ. Clinical review: intensive care follow-up - what has it told us?    Crit Care 2002;6(5):411-417.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=567541&pid=S0256-9574201200060007400008&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">9.&nbsp;Saleri    N, Capone S, Pietra V, et al. Outcome and predictive factors of mortality in    hospitalized HIV- patients in Burkina Faso. Infection 2009;37(2):142-147.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=567542&pid=S0256-9574201200060007400009&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">10.&nbsp;Boulle    A, van Cutsem G, Hilderbrand K, et al. Seven-year experience of a primary care    antiretroviral treatment programme in Khayelitsha, South Africa. AIDS 2010;24(4):563-572.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=567543&pid=S0256-9574201200060007400010&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">11.&nbsp;Wang B,    Losina E, Stark R, et al. Loss to follow-up in a community clinic in South Africa    - roles of gender, pregnancy and CD4 count. S Afr Med J 2011;101(4):253-257.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=567544&pid=S0256-9574201200060007400011&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">12.&nbsp;Dheda    K, Davids V, Lenders L, et al. Clinical utility of a commercial LAM-ELISA assay    for TB diagnosis in HIV-infected patients using urine and sputum samples. PLoS    One 2010;5(3):e9848.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=567545&pid=S0256-9574201200060007400012&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Accepted 2 February    2012.</font></p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"> <b><i>Corresponding    author:</i></b> <i>J G Peter (<a href="mailto:jonny.peter@uct.ac.za">jonny.peter@uct.ac.za</a>)</i></font></p>      ]]></body>
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