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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">SAJPsy</journal-id>
<journal-title-group>
<journal-title>South African Journal of Psychiatry</journal-title>
</journal-title-group>
<issn pub-type="ppub">1608-9685</issn>
<issn pub-type="epub">2078-6786</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">SAJPsy-31-2449</article-id>
<article-id pub-id-type="doi">10.4102/sajpsychiatry.v31i0.2449</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The clinical utility and cost-effectiveness of routine vitamin B<sub>12</sub> screening in adult psychiatric patients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0009-0008-9026-5630</contrib-id>
<name>
<surname>Hollander</surname>
<given-names>Tracy A.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4823-6915</contrib-id>
<name>
<surname>Juby</surname>
<given-names>Vidette M.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<aff id="AF0001"><label>1</label>Department of Psychiatry, College of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Tracy Hollander, <email xlink:href="campbell.tracyanne@gmail.com">campbell.tracyanne@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>08</day><month>09</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>31</volume>
<elocation-id>2449</elocation-id>
<history>
<date date-type="received"><day>25</day><month>11</month><year>2024</year></date>
<date date-type="accepted"><day>23</day><month>06</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025. The Authors</copyright-statement>
<copyright-year>2025</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Background</title>
<p>Diagnosing and treating vitamin B<sub>12</sub> deficiency in psychiatric populations is important, but the justification for routine screening in patients without risk factors or physical findings remains uncertain, especially in resource-limited settings.</p>
</sec>
<sec id="st2">
<title>Aim</title>
<p>This study aimed to assess the clinical utility and cost-effectiveness of routine vitamin B<sub>12</sub> screening in adult psychiatric inpatients.</p>
</sec>
<sec id="st3">
<title>Setting</title>
<p>The study was conducted at Townhill Hospital, a tertiary psychiatric facility in South Africa.</p>
</sec>
<sec id="st4">
<title>Methods</title>
<p>A retrospective chart review was performed for the period 01 July 2021 to 31 December 2022. Data collected included demographics, clinical diagnoses, medications, risk factors for deficiency, vitamin B<sub>12</sub> test results, associated costs, and clinical responses to abnormal findings.</p>
</sec>
<sec id="st5">
<title>Results</title>
<p>Of 366 patients (168 male, 198 female; mean age 35.95 &#x00B1; 13.44 years), the mean serum vitamin B<sub>12</sub> level was 423.86 mmol/L (SD &#x00B1; 233.37), with a median of 359 mmol/L. Vitamin B<sub>12</sub> deficiency was identified in eight patients (2.2&#x0025;). The cost per deficient patient was R5780.73. Statistically significant associations were found between low B<sub>12</sub> levels and pregnancy, vegetarian diet, abdominal surgery, and metformin use (<italic>p</italic> &#x003C; 0.05). Only half of the deficient patients received replacement therapy.</p>
</sec>
<sec id="st6">
<title>Conclusion</title>
<p>Routine vitamin B<sub>12</sub> screening in the absence of physical findings or known risk factors is not clinically or economically justified. Targeted screening should be considered to optimise resource use and patient outcomes.</p>
</sec>
<sec id="st7">
<title>Contribution</title>
<p>In resource-constrained environments, prioritising high-yield interventions is essential to improving care efficiency.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Vitamin B<sub>12</sub> deficiency</kwd>
<kwd>cobalamin deficiency</kwd>
<kwd>vitamin B<sub>12</sub> screening</kwd>
<kwd>adult psychiatric patients</kwd>
<kwd>clinical utility</kwd>
<kwd>cost-effectiveness</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding information</bold> This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>Cobalamin (vitamin B<sub>12</sub>) is a water-soluble vitamin obtained by humans from animal sources, including meat, dairy products and eggs.<sup><xref ref-type="bibr" rid="CIT0001">1</xref></sup> This vitamin is vital in deoxyribonucleic acid (DNA) synthesis, red blood cell formation and neurological functioning.<sup><xref ref-type="bibr" rid="CIT0002">2</xref></sup> It is also linked to the synthesis of various neurotransmitters, and thus, it has been implicated in the pathogenesis of various psychiatric disorders.<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup></p>
<p>Deficiency presents with broad, non-specific clinical features, including symptoms related to anaemia, gastrointestinal issues, neurological impairments and psychological disturbances.<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup> Often, neuropsychiatric symptoms are the first clinical manifestation and precede the haematologic and gastrointestinal symptoms.<sup><xref ref-type="bibr" rid="CIT0005">5</xref>,<xref ref-type="bibr" rid="CIT0006">6</xref>,<xref ref-type="bibr" rid="CIT0007">7</xref></sup> Psychiatric manifestations of vitamin B<sub>12</sub> deficiency can include depression, apathy, irritability, dementia, mania, catatonia, delirium, anxiety and psychosis.<sup><xref ref-type="bibr" rid="CIT0008">8</xref>,<xref ref-type="bibr" rid="CIT0009">9</xref>,<xref ref-type="bibr" rid="CIT0010">10</xref></sup></p>
<p>The prevalence of low serum or plasma vitamin B<sub>12</sub> concentrations among adults varies, with rates of 2.7&#x0025; in the United States, 8.3&#x0025; in the United Kingdom and 14.7&#x0025; in Germany.<sup><xref ref-type="bibr" rid="CIT0011">11</xref></sup> In Africa, available data on prevalence indicate that 35&#x0025; and 15&#x0025; were deficient in Kenya and Ethiopia, respectively; however, in Ghana, the prevalence was relatively lower (7&#x0025;).<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup> Epidemiological data for cobalamin deficiency in South Africa are limited.</p>
<p>Psychiatric patients are frequently screened for vitamin B<sub>12</sub> deficiency in the absence of haematologic or neurologic findings,<sup><xref ref-type="bibr" rid="CIT0013">13</xref></sup> with some studies going as far as recommending that routine screening for serum vitamin B<sub>12</sub> levels should be adopted by all hospitals for psychiatric patients.<sup><xref ref-type="bibr" rid="CIT0014">14</xref>,<xref ref-type="bibr" rid="CIT0015">15</xref></sup> Based on the authors&#x2019; clinical experience, routine screening for vitamin B<sub>12</sub> deficiency is common practice across psychiatric departments in KwaZulu-Natal, including at Townhill Hospital. At this facility, admitted patients are typically screened for vitamin B<sub>12</sub> deficiency, irrespective of the presence of specific risk factors.</p>
<p>Certain groups are at heightened risk for vitamin B<sub>12</sub> deficiency because of factors that impair intake or absorption. These include individuals with restricted diets, pregnant women, the elderly, people with gastritis and certain autoimmune disorders (e.g., pernicious anaemia), people with intestinal diseases (e.g., Crohn&#x2019;s, celiac disease), those with surgeries involving the gastrointestinal tract and people on medications that inhibit B<sub>12</sub> absorption, such as metformin, proton pump inhibitors (PPIs), H<sub>2</sub>-receptor antagonists and oral contraceptives.<sup><xref ref-type="bibr" rid="CIT0004">4</xref>,<xref ref-type="bibr" rid="CIT0016">16</xref>,<xref ref-type="bibr" rid="CIT0017">17</xref>,<xref ref-type="bibr" rid="CIT0018">18</xref>,<xref ref-type="bibr" rid="CIT0019">19</xref></sup></p>
<p>A diagnosis of vitamin B
<sub>12
</sub> deficiency is challenging, as confirmation relies on laboratory findings, which remain controversial. In terms of laboratory investigations for B
<sub>12
</sub> deficiency, there are four biological markers of B
<sub>12
</sub>: total serum vitamin B
<sub>12
</sub>, holotranscobalamin (holoTC) and measures of B
<sub>12
</sub> metabolites homocysteine (Hcy) and methylmalonic acid (MMA). Each of these tests have limitations.
<sup>
<xref ref-type="bibr" rid="CIT0004">4
</xref>
</sup> The serum B
<sub>12
</sub> is the most frequently used test and it measures the circulating concentration of vitamin B
<sub>12
</sub> bound to both vitamin binding proteins, transcobalamin and haptocorrin.
<sup>
<xref ref-type="bibr" rid="CIT0020">20
</xref>
</sup> A critical problem with these assays is that they can be influenced by the presence of interfering anti-intrinsic antibodies (particularly in patients with pernicious anaemia), thereby giving elevated vitamin B
<sub>12
</sub> concentrations in cobalamin-deficient patients.
<sup>
<xref ref-type="bibr" rid="CIT0021">21
</xref>
</sup> There is also a need for scientific consensus defining cut-off values to diagnose deficiency states.
<sup>
<xref ref-type="bibr" rid="CIT0022">22
</xref>
</sup> Measuring Hcy and MMA is based on the rationale that cobalamin deficiency leads to the accumulation of these metabolites.
<sup>
<xref ref-type="bibr" rid="CIT0023">23
</xref>
</sup> While these tests may have greater sensitivity for cobalamin deficiency, they remain problematic in diagnosing B
<sub>12
</sub> deficiency. Differential causes need to be considered if MMA levels are elevated. Other possible causes of elevated MMA include renal impairment or dehydration,
<sup>
<xref ref-type="bibr" rid="CIT0024">24
</xref>
</sup> and if Hcy is elevated, it may reflect folate deficiency; therefore, this would have to be excluded.
<sup>
<xref ref-type="bibr" rid="CIT0025">25
</xref>
</sup> Therefore, vitamin B
<sub>12
</sub> deficiency can be suspected only when serum levels are low, and MMA and Hcy are elevated without renal disease, volume depletion and folate deficiency. A variety of conditions may impact serum cobalamin levels, but MMA or Hcy level within the normal range suggests that vitamin B
<sub>12
</sub> deficiency can be excluded.
<sup>
<xref ref-type="bibr" rid="CIT0026">26
</xref>
</sup> Measuring holoTC, the bioactive form of vitamin B
<sub>12
</sub>, remains debatable, with one large study concluding that holoTC has the highest diagnostic accuracy in predicting deficiency
<sup>
<xref ref-type="bibr" rid="CIT0027">27
</xref>
</sup> and another extensive study showing that the holoTC immunoassay cannot be used to reliably determine the vitamin B
<sub>12
</sub> status.
<sup>
<xref ref-type="bibr" rid="CIT0028">28
</xref>
</sup> In our setting, the serum vitamin B
<sub>12
</sub> is the most cost-effective test and widely used test to assess for cobalamin deficiency.
</p>
<p>Clinical utility is increasingly utilised in health care, and critical measures of clinical utility include clinical effectiveness and cost-effectiveness. However, as Smart highlights, this narrow focus overlooks other essential factors that influence clinical decision-making, including appropriateness, accessibility, practicality and acceptability, all of which should be considered when assessing clinical utility.<sup><xref ref-type="bibr" rid="CIT0029">29</xref></sup> Cost-effectiveness analysis (CEA) assesses the outcomes and costs of various strategies or interventions.<sup><xref ref-type="bibr" rid="CIT0030">30</xref></sup></p>
<p>While diagnosing and treating vitamin B<sub>12</sub> deficiency in the psychiatric population is essential, the prevalence of this condition among patients admitted to Townhill Hospital remains unclear. Consequently, it is uncertain whether routine screening is justified in non-vulnerable patients who lack haematological or neurological findings. Furthermore, current testing practices may need to be more reliable, potentially contributing to unnecessary costs in an already resource-constrained environment. This study investigated the clinical utility and cost-effectiveness of routine screening for vitamin B<sub>12</sub> deficiency in adult psychiatric patients admitted to Townhill Hospital.</p>
</sec>
<sec id="s0002">
<title>Research methods and design</title>
<sec id="s20003">
<title>Study design</title>
<p>This study was a quantitative descriptive analysis and data were collected retrospectively from existing medical records.</p>
</sec>
<sec id="s20004">
<title>Study setting</title>
<p>The study was conducted at Townhill Hospital, a tertiary-level facility in Pietermaritzburg, South Africa. Townhill Hospital is a specialist psychiatric institution providing general and tertiary psychiatric services and inpatient and outpatient care. Serving a broad catchment area, the hospital accepts mental health referrals from any health care establishment within the KwaZulu-Natal province.</p>
</sec>
<sec id="s20005">
<title>Study population and sampling</title>
<p>All adult inpatients (&#x2265; 18 years) admitted to Townhill Hospital between 01 July 2021 and 31 December 2022 were eligible for inclusion if their serum vitamin B<sub>12</sub> levels were measured either within 3 months prior to admission or during their hospital stay.</p>
<p>Exclusion criteria included patients younger than 18 years, those whose vitamin B<sub>12</sub> levels were assessed more than 3 months before admission and cases with missing clinical records or unavailable B<sub>12</sub> results.</p>
</sec>
<sec id="s20006">
<title>Data collection</title>
<p>Patient records were reviewed to assess sociodemographic factors that could influence vitamin B<sub>12</sub> levels. In addition, clinical data such as psychiatric history and discharge diagnoses were documented. The total number of vitamin B<sub>12</sub> tests performed, their yield and the record of action taken following an abnormal result were recorded. The cost of serum vitamin B<sub>12</sub> testing was also recorded. The cut-off that the National Health Laboratory Service (NHLS) uses to define low vitamin B<sub>12</sub> levels is less than 156 mmol/L. This value was employed to identify vitamin B<sub>12</sub> deficiency in the study participants.</p>
</sec>
<sec id="s20007">
<title>Data analysis</title>
<p>Data analyses were performed using SPSS version 29. Statistics for continuous data (numerical data) included measures of central tendency and data were interpreted as a mean &#x00B1; standard deviation (SD) unless stated otherwise. One-way ANOVA and t-tests were used to compare continuous variables between different groups. Relationships between categorical variables were tested using the Chi-square test. Statistical significance was accepted at <italic>p</italic> &#x2264; 0.05.</p>
</sec>
<sec id="s20008">
<title>Ethical considerations</title>
<p>Data were de-identified to protect participant identities. The data-collection procedures involved only a retrospective file review, and no patient intervention or interaction occurred. Ethical clearance to conduct this study was obtained from the University of KwaZulu-Natal Biomedical Research Ethics Committee (No.BREC/00006699/2024). The study was conducted in accordance with the Medical Research Ethical Guidelines on Human Research of the Department of Health 2004.</p>
</sec>
</sec>
<sec id="s0009">
<title>Results</title>
<p>A total of 496 adult patients (18 years and older) were admitted to Townhill Hospital during the study period. Out of the total sample, 81 participants (16.3&#x0025;) were excluded from the study because of the absence of documented serum vitamin B<sub>12</sub> levels in their medical records. In addition, 49 participants (9.9&#x0025;) were excluded because their files were unavailable at the hospital registry department. The final sample thus consisted of 366 (73.8&#x0025;) cases.</p>
<p>Key sociodemographic and clinical characteristics are summarised in <xref ref-type="table" rid="T0001">Table 1</xref>.</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>Sociodemographic and clinical characteristics (<bold><italic>N</italic></bold> = 366).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="left">Category</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="2" valign="top">Gender</td>
<td align="left">Female</td>
<td align="center">198</td>
<td align="center">54.1</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">168</td>
<td align="center">49.9</td>
</tr>
<tr>
<td align="left" rowspan="4" valign="top">Age (in years)</td>
<td align="left">18&#x2013;24</td>
<td align="center">87</td>
<td align="center">23.8</td>
</tr>
<tr>
<td align="left">25&#x2013;39</td>
<td align="center">161</td>
<td align="center">44.0</td>
</tr>
<tr>
<td align="left">40&#x2013;59</td>
<td align="center">86</td>
<td align="center">23.5</td>
</tr>
<tr>
<td align="left">60+</td>
<td align="center">32</td>
<td align="center">8.7</td>
</tr>
<tr>
<td align="left" rowspan="4" valign="top">Race</td>
<td align="left">African people</td>
<td align="center">275</td>
<td align="center">75.1</td>
</tr>
<tr>
<td align="left">Indian people</td>
<td align="center">48</td>
<td align="center">13.1</td>
</tr>
<tr>
<td align="left">Caucasian people</td>
<td align="center">37</td>
<td align="center">10.1</td>
</tr>
<tr>
<td align="left">Mixed race people</td>
<td align="center">6</td>
<td align="center">1.6</td>
</tr>
<tr>
<td align="left" rowspan="4" valign="top">Pregnancy status</td>
<td align="left">Pregnant</td>
<td align="center">4</td>
<td align="center">1.1</td>
</tr>
<tr>
<td align="left">Not pregnant</td>
<td align="center">184</td>
<td align="center">50.3</td>
</tr>
<tr>
<td align="left">Not documented</td>
<td align="center">10</td>
<td align="center">2.7</td>
</tr>
<tr>
<td align="left">Not applicable (male)</td>
<td align="center">168</td>
<td align="center">45.9</td>
</tr>
<tr>
<td align="left" rowspan="3" valign="top">Dietary preference</td>
<td align="left">Regular</td>
<td align="center">290</td>
<td align="center">79.2</td>
</tr>
<tr>
<td align="left">Vegetarian</td>
<td align="center">12</td>
<td align="center">3.3</td>
</tr>
<tr>
<td align="left">Not documented</td>
<td align="center">64</td>
<td align="center">17.5</td>
</tr>
<tr>
<td align="left" rowspan="2" valign="top">Psychiatric history</td>
<td align="left">Index presentation</td>
<td align="center">79</td>
<td align="center">21.6</td>
</tr>
<tr>
<td align="left">Previous history</td>
<td align="center">287</td>
<td align="center">78.4</td>
</tr>
<tr>
<td align="left" rowspan="7" valign="top">Medical illness</td>
<td align="left">HIV</td>
<td align="center">76</td>
<td align="center">20.8</td>
</tr>
<tr>
<td align="left">Diabetes</td>
<td align="center">27</td>
<td align="center">7.4</td>
</tr>
<tr>
<td align="left">Pernicious anaemia</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Gastritis</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Crohn&#x2019;s disease</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Celiac disease</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Hypothyroidism</td>
<td align="center">15</td>
<td align="center">4.1</td>
</tr>
<tr>
<td align="left" rowspan="4" valign="top">Surgical history</td>
<td align="left">Abdominal surgery</td>
<td align="center">17</td>
<td align="center">4.6</td>
</tr>
<tr>
<td align="left">Non-abdominal surgery</td>
<td align="center">81</td>
<td align="center">22.1</td>
</tr>
<tr>
<td align="left">No surgical history</td>
<td align="center">206</td>
<td align="center">56.3</td>
</tr>
<tr>
<td align="left">Not documented</td>
<td align="center">60</td>
<td align="center">16.4</td>
</tr>
<tr>
<td align="left" rowspan="4" valign="top">Alcohol use</td>
<td align="left">Alcohol use reported</td>
<td align="center">193</td>
<td align="center">52.7</td>
</tr>
<tr>
<td align="left">No reported use</td>
<td align="center">147</td>
<td align="center">40.7</td>
</tr>
<tr>
<td align="left">Not documented</td>
<td align="center">22</td>
<td align="center">6</td>
</tr>
<tr>
<td align="left">Alcohol use disorder diagnosed</td>
<td align="center">47</td>
<td align="center">12.8</td>
</tr>
<tr>
<td align="left" rowspan="8" valign="top">Clinical diagnosis</td>
<td align="left">Schizophrenia</td>
<td align="center">118</td>
<td align="center">32.2</td>
</tr>
<tr>
<td align="left">Schizoaffective disorder</td>
<td align="center">67</td>
<td align="center">18.3</td>
</tr>
<tr>
<td align="left">Major depressive disorder</td>
<td align="center">34</td>
<td align="center">9.3</td>
</tr>
<tr>
<td align="left">Bipolar 1 disorder</td>
<td align="center">65</td>
<td align="center">17.8</td>
</tr>
<tr>
<td align="left">Bipolar 2 disorder</td>
<td align="center">2</td>
<td align="center">0.5</td>
</tr>
<tr>
<td align="left">Psychotic disorder because of another medical condition</td>
<td align="center">28</td>
<td align="center">7.7</td>
</tr>
<tr>
<td align="left">Substance-induced psychotic disorder</td>
<td align="center">6</td>
<td align="center">1.6</td>
</tr>
<tr>
<td align="left">Mood disorder because of another medical condition</td>
<td align="center">6</td>
<td align="center">1.6</td>
</tr>
<tr>
<td align="left" rowspan="8" valign="top">Medication use</td>
<td align="left">Antipsychotic agents</td>
<td align="center">342</td>
<td align="center">93.4</td>
</tr>
<tr>
<td align="left">Mood stabilisers</td>
<td align="center">191</td>
<td align="center">52.1</td>
</tr>
<tr>
<td align="left">Antidepressant agents</td>
<td align="center">86</td>
<td align="center">23.5</td>
</tr>
<tr>
<td align="left">Antiretroviral agents</td>
<td align="center">76</td>
<td align="center">20.8</td>
</tr>
<tr>
<td align="left">Metformin</td>
<td align="center">26</td>
<td align="center">7.1</td>
</tr>
<tr>
<td align="left">Proton pump inhibitors</td>
<td align="center">11</td>
<td align="center">3.0</td>
</tr>
<tr>
<td align="left">H<sub>2</sub> receptor antagonists</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Oral contraceptives</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>HIV, human immunodeficiency virus.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The mean age was 35.95 years (SD &#x00B1; 13.44). Most patients were female (<italic>n</italic> = 198, 54.1&#x0025;), and 45.9&#x0025; (<italic>n</italic> = 168) were male. The study population predominantly comprised African patients, accounting for 75.1&#x0025; of the cohort (<italic>n</italic> = 275).</p>
<p>Four of the patients (1.1&#x0025;) were pregnant.</p>
<p>Most of the participants (<italic>n</italic> = 290, 79.2&#x0025;) reported following a regular omnivorous diet, while 12 patients (3.3&#x0025;) were identified as vegetarian. The dietary preference information was missing for 64 patients (17.5&#x0025;).</p>
<p>The majority of the participants, totalling 78.4&#x0025; (<italic>n</italic> = 287), were established mental health care users, while for 79 individuals (21.6&#x0025;), it was their first contact with mental health services.</p>
<p>In this study population, 76 patients (20.8&#x0025;) had a diagnosis of human immunodeficiency virus (HIV), with other common comorbidities including hypertension (<italic>n</italic> = 60, 16.4&#x0025;), dyslipidaemia (<italic>n</italic> = 35, 9.6&#x0025;), diabetes (7.4&#x0025;) and epilepsy (<italic>n</italic> = 26, 7.1&#x0025;). A total of 193 patients (52.7&#x0025;) reported alcohol consumption, of whom 12.8&#x0025; (<italic>n</italic> = 12.8&#x0025;) were diagnosed with alcohol use disorder. The primary psychiatric diagnoses included schizophrenia (<italic>n</italic> = 118, 32.2&#x0025;), schizoaffective disorder (<italic>n</italic> = 67, 18.3&#x0025;) and bipolar 1 disorder (<italic>n</italic> = 65, 17.8&#x0025;), with a notable prevalence of cannabis use disorder (<italic>n</italic> = 47, 17.8&#x0025;) and multiple substance use disorders (<italic>n</italic> = 47, 12.8&#x0025;). Antipsychotics were the most prescribed medication (<italic>n</italic> = 342, 93.8&#x0025;), followed by mood stabilisers (<italic>n</italic> = 191, 52.2&#x0025;), antidepressants (<italic>n</italic> = 86, 23.5&#x0025;) and antiretrovirals (<italic>n</italic> = 76, 20.8&#x0025;). Other medications included metformin (<italic>n</italic> = 26, 7.1&#x0025;) and PPIs (<italic>n</italic> = 11, 3.0&#x0025;), with no use of oral contraceptives or H2-receptor antagonists in this population. A total of 81 patients (22.1&#x0025;) had a history of prior non-abdominal surgery, while 17 (4.6&#x0025;) had a history of prior abdominal surgery.</p>
<p>Key variables related to the testing of vitamin B<sub>12</sub> are outlined in <xref ref-type="table" rid="T0002">Table 2</xref>.</p>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Vitamin B<sub>12</sub> testing (<bold><italic>N</italic></bold> = 366).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Mean serum vitamin B<sub>12</sub> level</td>
<td align="center">423.86 mmol/L (&#x00B1; 233.37)</td>
</tr>
<tr>
<td align="left">Number of participants with vitamin B<sub>12</sub> deficiency</td>
<td align="center">8 (2.2&#x0025;)</td>
</tr>
<tr>
<td align="left">Total cost of the serum vitamin B<sub>12</sub> tests</td>
<td align="center">R46 245.80</td>
</tr>
<tr>
<td align="left">Cost-utility (total cost per patient with vitamin B<sub>12</sub> deficiency)</td>
<td align="center">R5780.73</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The mean serum vitamin B<sub>12</sub> level was 423.86 mmol/L (SD &#x00B1; 233.37). The interquartile range (IQR) was 243 mmol/L, with values ranging from 118 mmol/L to 1476 mmol/L. The median serum vitamin B<sub>12</sub> concentration was 359 mmol/L. In this study, eight (2.2&#x0025;) patients had low vitamin B<sub>12</sub> levels. Only one (0.3&#x0025;) of these patients had a Hcy level test performed, and none received an MMA test. Most of the study sample (<italic>n</italic> = 358, 97.8&#x0025;) had normal serum vitamin B<sub>12</sub> levels.</p>
<p>There was a statistically significant association between low vitamin B<sub>12</sub> levels and both pregnancy and dietary status, with more of these patients having a low vitamin B<sub>12</sub> level (<italic>p</italic> &#x003C; 0.05). However, although these were statistically significant, the effect sizes were small (phi = 0.18 and 0.15, respectively), and the assumption of expected cell counts exceeding five was violated in the pregnancy group.</p>
<p>There was no statistically significant association between mean age and vitamin B<sub>12</sub> deficiency, including no statistically significant difference in the percentage of those with low vitamin B<sub>12</sub> levels and advanced age of &#x003E; 60 years (<italic>p</italic> &#x003E; 0.05).</p>
<p>Associations of low vitamin B<sub>12</sub> with sociodemographic variables are outlined in <xref ref-type="table" rid="T0003">Table 3</xref>.</p>
<table-wrap id="T0003">
<label>TABLE 3</label>
<caption><p>Associations of low vitamin B<sub>12</sub> with sociodemographic variables.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Variable</th>
<th valign="top" align="center" rowspan="2">Mean vitamin B<sub>12</sub> level</th>
<th valign="top" align="center" colspan="2">ANOVA results<hr/></th>
<th valign="top" align="center" colspan="2">Vitamin B<sub>12</sub> level<hr/></th>
<th valign="top" align="center" colspan="2">Chi-square results<hr/></th>
</tr>
<tr>
<th valign="top" align="center"><italic>F</italic>-statistic</th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center">Low (&#x003C; 156 mmol/L) &#x0025;</th>
<th valign="top" align="center">Normal &#x0025;</th>
<th valign="top" align="center"><italic>&#x03C7;</italic><sup>2</sup>-value</th>
<th valign="top" align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="8"><bold>Gender</bold></td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">417.0</td>
<td align="center">0.37</td>
<td align="center">0.54</td>
<td align="center">3</td>
<td align="center">97</td>
<td align="center">1.44</td>
<td align="center">0.23</td>
</tr>
<tr>
<td align="left">Female</td>
<td align="center">432.9</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">1</td>
<td align="center">99</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Race</bold></td>
</tr>
<tr>
<td align="left">African people</td>
<td align="center">426.2</td>
<td align="center">0.22</td>
<td align="center">0.88</td>
<td align="center">2</td>
<td align="center">98</td>
<td align="center">1.84</td>
<td align="center">0.61</td>
</tr>
<tr>
<td align="left">Indian people</td>
<td align="center">413.19</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.4</td>
<td align="center">99/6</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Caucasian people</td>
<td align="center">431.08</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Mixed race people</td>
<td align="center">356.83</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Pregnant</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">416.0</td>
<td align="center">0.19</td>
<td align="center">0.90</td>
<td align="center">25</td>
<td align="center">75</td>
<td align="center">6.29</td>
<td align="center"><bold>0.01</bold></td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">415.54</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">3</td>
<td align="center">97</td>
<td align="center">-</td>
<td align="center"><bold>-</bold></td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Dietary preference</bold></td>
</tr>
<tr>
<td align="left">Vegetarian</td>
<td align="center">332.83</td>
<td align="center">1.17</td>
<td align="center">0.32</td>
<td align="center">8</td>
<td align="center">92</td>
<td align="center">6.54</td>
<td align="center"><bold>0.01</bold></td>
</tr>
<tr>
<td align="left">Regular</td>
<td align="center">430.46</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">1</td>
<td align="center">99</td>
<td align="center">-</td>
<td align="center"><bold>-</bold></td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Previous psychiatric history</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">419.62</td>
<td align="center">0.44</td>
<td align="center">0.51</td>
<td align="center">2</td>
<td align="center">98</td>
<td align="center">0.40</td>
<td align="center">0.53</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">439.25</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">1</td>
<td align="center">99</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: Statistical significance is indicated in bold text.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>A statistically significant lower mean serum vitamin B<sub>12</sub> level was observed in individuals with schizophrenia (<italic>t</italic> = 2.57, <italic>p</italic> = 0.01). However, no significant association was found between a diagnosis of schizophrenia and vitamin B<sub>12</sub> deficiency (&#x03C7;<sup>2</sup> = 0.14, <italic>p</italic> &#x003E; 0.05).</p>
<p>A general trend of a lower mean serum vitamin B<sub>12</sub> level in patients with comorbidities was seen, but this was not statistically significant (<italic>p</italic>-values &#x003E; 0.05). However, there was a statistically significant difference regarding patients with diabetes, with more of these patients having a low vitamin B<sub>12</sub> level (&#x03C7;<sup>2</sup> = 3.72, <italic>p</italic> = 0.05).</p>
<p>There was no statistical difference between patients on chronic medication and mean serum vitamin B<sub>12</sub> levels (<italic>p</italic>-values &#x003E; 0.05). However, there was a statistically significant difference with regard to patients using metformin, with more of these patients having a deficient vitamin B<sub>12</sub> level (&#x03C7;<sup>2</sup> = 3.97, <italic>p</italic> = 0.05).</p>
<p>The results showed no statistical differences between patients with surgical history, alcohol use or alcohol use disorder and mean serum vitamin B<sub>12</sub> levels (<italic>p</italic>-values &#x003E; 0.05). However, there was a statistically significant difference regarding patients with a history of abdominal surgery, with more of these patients having a low vitamin B<sub>12</sub> level (&#x03C7;<sup>2</sup> = 6.19, <italic>p</italic> = 0.05).</p>
<p>Associations of low vitamin B<sub>12</sub> with important clinical variables are summarised in <xref ref-type="table" rid="T0004">Table 4a</xref> and <xref ref-type="table" rid="T0004a">Table 4b</xref>.</p>
<table-wrap id="T0004">
<label>TABLE 4a</label>
<caption><p>Associations of low vitamin B<sub>12</sub> and important clinical variables.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Variable</th>
<th valign="top" align="center" rowspan="2">Mean vitamin B<sub>12</sub> level</th>
<th valign="top" align="center" colspan="2"><italic>t</italic>-test results<hr/></th>
<th valign="top" align="center" colspan="2">Vitamin B<sub>12</sub> level<hr/></th>
<th valign="top" align="center" colspan="2">Chi-square results<hr/></th>
</tr>
<tr>
<th valign="top" align="center"><italic>t</italic>-value</th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center">Low (&#x003C; 156 mmol/L)</th>
<th valign="top" align="center">Normal</th>
<th valign="top" align="center"><italic>&#x03C7;</italic><sup>2</sup>-value</th>
<th valign="top" align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="8"><bold>HIV</bold></td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">417.25</td>
<td align="center">&#x2212;0.90</td>
<td align="center">0.37</td>
<td align="center">2</td>
<td align="center">98</td>
<td align="center">0.09</td>
<td align="center">0.77</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">449.05</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">3</td>
<td align="center">97</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Diabetes</bold></td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">427.30</td>
<td align="center">1.00</td>
<td align="center">0.32</td>
<td align="center">2</td>
<td align="center">98</td>
<td align="center">3.72</td>
<td align="center"><bold>0.05</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">380.63</td>
<td align="left"></td>
<td align="left"></td>
<td align="center">7</td>
<td align="center">93</td>
<td align="center">-</td>
<td align="center"><bold>-</bold></td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Metformin</bold></td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">427.75</td>
<td align="center">1.15</td>
<td align="center">0.25</td>
<td align="center">2</td>
<td align="center">98</td>
<td align="center">3.97</td>
<td align="center"><bold>0.05</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">372.96</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">8</td>
<td align="center">92</td>
<td align="center">-</td>
<td align="center"><bold>-</bold></td>
</tr>
<tr>
<td align="left" colspan="8"><bold>PPI</bold></td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">421.20</td>
<td align="center">&#x2212;1.24</td>
<td align="center">0.22</td>
<td align="center">2</td>
<td align="center">98</td>
<td align="center">0.25</td>
<td align="center">0.62</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">509.45</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0</td>
<td align="center">100</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: Statistical significance is indicated in bold text.</p></fn>
<fn><p>HIV, human immunodeficiency virus; PPI, proton pump inhibitors.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T0004a">
<label>TABLE 4b</label>
<caption><p>Associations of low vitamin B<sub>12</sub> and important clinical variables.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Variable</th>
<th valign="top" align="center" rowspan="2">Mean vitamin B<sub>12</sub> level</th>
<th valign="top" align="center" colspan="2">ANOVA results<hr/></th>
<th valign="top" align="center" colspan="2">Vitamin B<sub>12</sub> level<hr/></th>
<th valign="top" align="center" colspan="2">Chi-square results<hr/></th>
</tr>
<tr>
<th valign="top" align="center"><italic>F</italic>-statistic</th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center">Low (&#x003C; 156 mmol/L)</th>
<th valign="top" align="center">Normal</th>
<th valign="top" align="center"><italic>&#x03C7;</italic><sup>2</sup>-value</th>
<th valign="top" align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="8"><bold>Alcohol use disorder</bold></td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">419.96</td>
<td align="center">0.29</td>
<td align="center">0.59</td>
<td align="center">3</td>
<td align="center">97</td>
<td align="center">1.21</td>
<td align="center">0.27</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">439.38</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0</td>
<td align="center">100</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="8"><bold>Surgical history</bold></td>
</tr>
<tr>
<td align="left">No surgical history</td>
<td align="center">412.4</td>
<td align="center">0.99</td>
<td align="center">0.37</td>
<td align="center">2</td>
<td align="center">98</td>
<td align="center">6.19</td>
<td align="center"><bold>0.05</bold></td>
</tr>
<tr>
<td align="left">Previous abdominal surgery</td>
<td align="center">354.94</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">12</td>
<td align="center">88</td>
<td align="center">-</td>
<td align="center"><bold>-</bold></td>
</tr>
<tr>
<td align="left">Previous non-abdominal surgery</td>
<td align="center">436.25</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">1</td>
<td align="center">99</td>
<td align="center">-</td>
<td align="center"><bold>-</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: Statistical significance is indicated in bold text.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Overall, three of the patients with low vitamin B<sub>12</sub> had no identified risk factors (38&#x0025;), while the remainder had at least one risk factor (<italic>n</italic> = 5, 62&#x0025;). Two of the deficient patients had two or more risk factors.</p>
<p>The frequency of risk factors in patients with vitamin B<sub>12</sub> deficiency is summarised in <xref ref-type="table" rid="T0005">Table 5</xref>.</p>
<table-wrap id="T0005">
<label>TABLE 5</label>
<caption><p>The frequency of risk factors in patients with vitamin B<sub>12</sub> deficiency (<bold><italic>N</italic></bold> = 8).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Risk factor</th>
<th valign="top" align="center">Frequency</th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">No risk factors</td>
<td align="center">3</td>
<td align="center">38</td>
</tr>
<tr>
<td align="left">Age 60 years and older</td>
<td align="center">1</td>
<td align="center">12</td>
</tr>
<tr>
<td align="left">On metformin</td>
<td align="center">1</td>
<td align="center">12</td>
</tr>
<tr>
<td align="left">Pregnant</td>
<td align="center">1</td>
<td align="center">12</td>
</tr>
<tr>
<td align="left">Vegetarian and abdominal surgery</td>
<td align="center">1</td>
<td align="center">12</td>
</tr>
<tr>
<td align="left">Age 60 years and older, on metformin and abdominal surgery</td>
<td align="center">1</td>
<td align="center">12</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s20010">
<title>Treating vitamin B<sub>12</sub> deficiency</title>
<p>Only four out of the eight patients with vitamin B<sub>12</sub> deficiency received vitamin B<sub>12</sub> replacement. One patient received an oral replacement and the other three received intramuscular supplementation.</p>
</sec>
<sec id="s20011">
<title>Cost of serum vitamin B<sub>12</sub> testing</title>
<p>The total cost of serum vitamin B<sub>12</sub> testing performed on the 366 included participants during the 18-month study period was R46 245.80.</p>
</sec>
<sec id="s20012">
<title>Cost-utility</title>
<p>The cost-effectiveness ratio (CER) was determined using <xref ref-type="disp-formula" rid="FD1">Equation 1</xref> (outcome = a positive vitamin B<sub>12</sub> deficiency result):</p>
<disp-formula id="FD1"><alternatives><mml:math display="block" id="M1"><mml:mtable columnalign="left"><mml:mtr><mml:mtd><mml:mtext>CER</mml:mtext><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mtext>Totalcost</mml:mtext></mml:mrow><mml:mrow><mml:mtext>Totaloutcome</mml:mtext></mml:mrow></mml:mfrac></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mn>46245.80</mml:mn></mml:mrow><mml:mn>8</mml:mn></mml:mfrac></mml:mtd></mml:mtr></mml:mtable></mml:math><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="SAJPsy-31-2449-e001.tif"/></alternatives><label>[Eqn 1]</label></disp-formula>
<p>the total cost per patient with low vitamin B<sub>12</sub> levels was R5780.73.</p>
</sec>
</sec>
<sec id="s0013">
<title>Discussion</title>
<p>This study investigated the clinical utility and cost-effectiveness of screening for vitamin B<sub>12</sub> deficiency in adult psychiatric patients admitted to Townhill Hospital. This is the first documented analysis of the clinical utility and cost-effectiveness of routine vitamin B<sub>12</sub> screening in a South African inpatient psychiatric population. Routine laboratory screening of psychiatric patients is widely practiced, primarily to detect occult medical conditions. It also facilitates the identification of underlying medical illnesses that may exacerbate or mimic psychiatric symptoms. Adequate screening tests should meet criteria for acceptability, suitability for the population and cost-effectiveness and should positively impact patient outcomes.<sup><xref ref-type="bibr" rid="CIT0031">31</xref></sup></p>
<sec id="s20014">
<title>The number of patients screened for vitamin B<sub>12</sub> deficiency</title>
<p>During the study period, 496 adult patients were admitted to Townhill Hospital. Among these, routine serum vitamin B<sub>12</sub> screening tests were requested in at least 73.8&#x0025; (<italic>n</italic> = 366) of this population.</p>
</sec>
<sec id="s20015">
<title>The prevalence of patients with vitamin B<sub>12</sub> deficiency</title>
<p>In this study, eight participants (2.2&#x0025;) had vitamin B<sub>12</sub> deficiency. This rate contrasts with international prevalence data as the reported prevalence of vitamin B<sub>12</sub> deficiency in patients admitted for psychiatric illness is between 5&#x0025; and 30&#x0025;.<sup><xref ref-type="bibr" rid="CIT0010">10</xref>,<xref ref-type="bibr" rid="CIT0015">15</xref>,<xref ref-type="bibr" rid="CIT0032">32</xref>,<xref ref-type="bibr" rid="CIT0033">33</xref></sup> Available general population data from Africa estimate rates of 35&#x0025; in Kenya, 15&#x0025; in Ethiopia and 7&#x0025; in Ghana.<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup></p>
<p>There remains no universally accepted cut-off for the diagnosis of vitamin B<sub>12</sub> deficiency.<sup><xref ref-type="bibr" rid="CIT0022">22</xref>,<xref ref-type="bibr" rid="CIT0034">34</xref></sup> In a review examining cut-off values, 13 authors used a threshold of 150 mmol/L to define deficiency, while 12 others reported 148 mmol/L as the standard.<sup><xref ref-type="bibr" rid="CIT0034">34</xref></sup> Consequently, the NHLS cut-off of &#x003C; 156 mmol/L aligns closely with internationally referenced standards, making it unlikely that this threshold contributed to the unexpectedly low rate of deficiency observed.</p>
<p>Several factors may have contributed to this study&#x2019;s lower prevalence of deficiency. One notable factor is the limited representation of individuals with established risk factors for deficiency. Risk factors for cobalamin deficiency include pregnancy, conditions that impair B<sub>12</sub> absorption, certain medications, a history of abdominal surgery and advanced age.<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup> In this study, only a small percentage of patients fell into these categories: 1.1&#x0025; (<italic>n</italic> = 4) were pregnant, none had conditions strongly linked to reduced B<sub>12</sub> absorption (such as pernicious anaemia, gastritis, Crohn&#x2019;s disease and celiac disease) and a minority were on medications that can affect B<sub>12</sub> levels (7.1&#x0025; on metformin, 3.0&#x0025; on PPIs and none were on H<sub>2</sub>-receptor antagonists or oral contraceptives). In addition, only 4.6&#x0025; (<italic>n</italic> = 17) reported a history of abdominal surgery, and 8.7&#x0025; (<italic>n</italic> = 32) were older than 60.</p>
<p>Inadequate dietary intake is another significant risk factor for vitamin B<sub>12</sub> deficiency.<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup> The dietary intake of B<sub>12</sub> in both the general South African population and our psychiatric population may be higher than other African populations. A review of dietary surveys of in the South African population from 2000 to 2015 showed that chicken meat, eggs and full cream milk are among the 10 most frequently consumed foods in this population.<sup><xref ref-type="bibr" rid="CIT0035">35</xref></sup> Epidemiological data for cobalamin deficiency in South Africa are scarce; however, inadequate vitamin B<sub>12</sub> intake in South Africa was demonstrated to be only 4.5&#x0025; in 2017, and B<sub>12</sub> supplies in the diet in Northern, Central and Southern Africa are considerably higher than in Western and Eastern Africa regions.<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup> Financial assistance may lower deficiency risk by supporting access to a more vitamin B<sub>12</sub>-rich diet, as demonstrated in a study in Kenya, where the Hunger Safety Net Programme, a cash transfer initiative, led to a 36.6&#x0025; improvement in vitamin B<sub>12</sub> intake after 24 months.<sup><xref ref-type="bibr" rid="CIT0036">36</xref></sup> Given that the majority of study participants were known mental health care users (<italic>n</italic> = 287, 78.4&#x0025;) and may have been receiving financial support through a disability grant, their access to animal products in the diet could be higher than that of a substantial portion of the population in South Africa and other parts of the continent who lack any form of financial income.</p>
<p>Given the low prevalence of vitamin B<sub>12</sub> deficiency observed among the study participants, the acceptability and appropriateness of routine screening for this deficiency in psychiatric patients without identifiable risk factors or physical findings warrant reconsideration.</p>
</sec>
<sec id="s20016">
<title>Associations of low vitamin B<sub>12</sub> levels with sociodemographic and clinical variables</title>
<p>A statistically significant difference was observed in the prevalence of low vitamin B<sub>12</sub> levels based on pregnancy status and dietary habits, with higher rates of deficiency in pregnant patients and those following a vegetarian diet (<italic>p</italic> &#x003C; 0.05). This finding is unsurprising, as these factors are well-established risk factors for vitamin B<sub>12</sub> deficiency.<sup><xref ref-type="bibr" rid="CIT0004">4</xref>,<xref ref-type="bibr" rid="CIT0016">16</xref>,<xref ref-type="bibr" rid="CIT0017">17</xref></sup> However, it is essential to note that, despite statistical significance, the effect sizes were small. Furthermore, there was a statistically significant difference between patients with diabetes (&#x03C7;<sup>2</sup> = 3.72, <italic>p</italic> = 0.05) and on metformin (&#x03C7;<sup>2</sup> = 3.97, <italic>p</italic> = 0.05), with more of these patients having a low vitamin B<sub>12</sub> level. The association between diabetes and low vitamin B<sub>12</sub> is likely attributable to the high proportion of diabetic patients prescribed metformin, a medication known to cause vitamin B<sub>12</sub> deficiency by impairing B<sub>12</sub> absorption.<sup><xref ref-type="bibr" rid="CIT0019">19</xref></sup> There was also a statistically significant difference regarding patients with abdominal surgery (&#x03C7;<sup>2</sup> = 6.19, <italic>p</italic> = 0.05), with more of these patients having vitamin B<sub>12</sub> deficiency. Abdominal surgery is a well-known risk factor for cobalamin deficiency, as procedures involving any part of the gastrointestinal tract can result in decreased absorption of vitamin B<sub>12</sub>.<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup></p>
<p>These findings highlight the importance of screening for cobalamin deficiency in individuals with established risk factors.</p>
</sec>
<sec id="s20017">
<title>Treating patients with vitamin B<sub>12</sub> deficiency</title>
<p>A study by Obeid et al. reviewed literature published over the past two decades to establish a consensus on managing vitamin B<sub>12</sub> deficiency. They concluded that, &#x2018;regardless of the cause of the deficiency, initial treatment with parenteral B<sub>12</sub> was regarded as the first choice for patients with acute and severe manifestations of B<sub>12</sub> deficiency&#x2019;.<sup><xref ref-type="bibr" rid="CIT0037">37</xref></sup> The Standard Treatment Guidelines and Essential Medicines List for South Africa also recommends treating deficiency with parental cobalamin.<sup><xref ref-type="bibr" rid="CIT0038">38</xref></sup> In this study, of the patients with confirmed vitamin B<sub>12</sub> deficiency (<italic>n</italic> = 8), three received appropriate parenteral supplementation, while one received only oral supplementation. Therefore, only half (<italic>n</italic> = 4) of those screened and identified as deficient benefited from the screening process.</p>
</sec>
<sec id="s20018">
<title>Screening test for Vitamin B<sub>12</sub> deficiency</title>
<p>The National Institute for Health and Care Excellence (NICE) recommends performing a diagnostic test (a serum MMA) if screening tests such as serum B<sub>12</sub> level or plasma Hcy are low before deciding if deficiency is likely.<sup><xref ref-type="bibr" rid="CIT0039">39</xref></sup> In our study, one (0.3&#x0025;) of these patients had an Hcy level performed, and none received an MMA test. While markers such as MMA and Hcy may be valuable aids in diagnosing vitamin B<sub>12</sub> deficiency, these tests are costly. Furthermore, these tests have their limitations.<sup><xref ref-type="bibr" rid="CIT0024">24</xref>,<xref ref-type="bibr" rid="CIT0025">25</xref></sup> These limitations, combined with the costs associated with further testing in a resource-constrained setting, raise questions about the clinical utility of using MMA and Hcy to confirm a vitamin B<sub>12</sub> deficiency diagnosis. The authors believe that, in this context, it was appropriate to treat vitamin B<sub>12</sub> deficiency based on the initial screening test alone.</p>
</sec>
<sec id="s20019">
<title>Clinical utility</title>
<p>Important measures of clinical utility include the clinical effectiveness and cost-effectiveness of the particular test or intervention.<sup><xref ref-type="bibr" rid="CIT0029">29</xref></sup></p>
<p>In our cost-utility analysis concerning patients with low vitamin B<sub>12</sub> levels, the total cost per patient was calculated to be R5780.73. This figure is notably high, particularly in a resource-constrained environment with limited financial resources. Furthermore, less than half of the patients diagnosed with vitamin B<sub>12</sub> deficiency received appropriate treatment. This inadequate treatment rate contributes to an increased cost&#x2013;utility ratio, as untreated deficiencies may lead to additional health care expenses and adverse health outcomes.</p>
<p>A clinically effective intervention can be characterised by several key attributes, including (but not limited to) the restoration of wellness, a sustained reduction in disease symptoms and a positive impact on the patient.<sup><xref ref-type="bibr" rid="CIT0040">40</xref></sup> In this study, given that less than half of the patients who screened positive for vitamin B<sub>12</sub> deficiency received adequate treatment, most patients did not fulfil these essential attributes.</p>
</sec>
<sec id="s20020">
<title>Limitations</title>
<p>As this study was a retrospective chart audit, it was influenced by the quality of record-keeping, which sometimes limited the availability of comprehensive sociodemographic and clinical patient data. Furthermore, it was impossible to ascertain the recorded data&#x2019;s accuracy.</p>
<p>In addition, the study was conducted at a single hospital, so the findings may not be generalisable to all psychiatric patients or other geographic regions.</p>
<p>The low prevalence of vitamin B<sub>12</sub> deficiency within the sample represented a significant limitation, as it precluded the use of logistic regression to adjust for potential confounding variables in the statistical analysis.</p>
<p>Townhill Hospital, a tertiary facility, faces long admission waiting lists, causing delays of weeks or months for patient transfers. In cases where serum vitamin B<sub>12</sub> levels were measured at Townhill instead of the referral hospital, receiving a balanced diet as an inpatient during the wait could affect the serum vitamin B<sub>12</sub> results.</p>
<p>Moreover, it is impossible to determine the exact costs associated with consumables (such as syringes, needles, gloves and alcohol swabs); therefore, these costs were not included in the overall testing expenses. Consequently, the total cost of testing may be underreported.</p>
</sec>
</sec>
<sec id="s0021">
<title>Conclusion</title>
<p>In our study, only 2.2&#x0025; of individuals who underwent routine screening for vitamin B<sub>12</sub> deficiency were found to have low cobalamin levels. The total cost per patient with vitamin B<sub>12</sub> deficiency was R5780.73, a notably high figure. Additionally, less than half of the patients diagnosed with vitamin B<sub>12</sub> deficiency received appropriate treatment, contributing to an increased cost-utility ratio. Consequently, our findings do not support routine screening for vitamin B<sub>12</sub> deficiency, as it is not cost-effective.</p>
<p>The study identified a statistically significant difference in the prevalence of low vitamin B<sub>12</sub> levels with established risk factors for cobalamin deficiency. Screening for vitamin B<sub>12</sub> deficiency should be guided by clinical history (including inquiries about well-known risk factors) and physical findings. We recommend limiting &#x2018;routine testing&#x2019; for deficiency to individuals exhibiting physical signs suggestive of deficiency, mental health care users not responding to treatment, and specific high-risk groups. These groups include pregnant women, the elderly, individuals on medications associated with vitamin B<sub>12</sub> deficiency (such as metformin, PPIs, H<sub>2</sub>-receptor antagonists and oral contraceptives), those with conditions strongly linked to deficiency (such as Crohn&#x2019;s disease, celiac disease and pernicious anaemia), and individuals with a history of abdominal surgery. In a resource-constrained healthcare environment, better patient outcomes and management may be achieved by directing resources towards higher-yield interventions.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>This article is partially derived from the thesis submitted by Dr T.A. Hollander, entitled, &#x2018;The clinical utility and cost-effectiveness of routine vitamin B<sub>12</sub> deficiency screening in adult psychiatric patients admitted to Townhill Hospital, South Africa&#x2019;, towards the degree of Master of Medicine (MMed) in Psychiatry at the University of KwaZulu-Natal, South Africa, completed in June 2025 under the supervision of Dr V.M. Juby.</p>
<sec id="s20022" sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.</p>
</sec>
<sec id="s20023">
<title>Authors&#x2019; contributions</title>
<p>T.A.H. developed the study protocol, conducted data collection, outsourced and financed data analysis by a private statistician and prepared the initial draft of the article. V.M.J. supervised the project and reviewed and edited the protocol and the article.</p>
</sec>
<sec id="s20024" sec-type="data-availability">
<title>Data availability</title>
<p>For ethical reasons, the data supporting this study&#x2019;s findings are not openly available. They are available upon reasonable request from the corresponding author T.A.H.</p>
</sec>
<sec id="s20025">
<title>Disclaimer</title>
<p>The views and opinions expressed in this article are those of the authors and are the product of professional research. It does not necessarily reflect the official policy or position of any affiliated institution, funder, agency or that of the publisher. The authors are responsible for this article&#x2019;s results, findings and content.</p>
</sec>
</ack>
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<fn><p><bold>How to cite this article:</bold> Hollander TA, Juby VM. The clinical utility and cost-effectiveness of routine vitamin B<sub>12</sub> screening in adult psychiatric patients. S Afr J Psychiat. 2025;31(0), a2449. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/sajpsychiatry.v31i0.2449">https://doi.org/10.4102/sajpsychiatry.v31i0.2449</ext-link></p></fn>
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