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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Indian Journal of Mental Health and Neurosciences</journal-id>
<journal-id journal-id-type="publisher-id">IJMHNS</journal-id>
<journal-title-group>
<journal-title>Indian Journal of Mental Health and Neurosciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">IJMHNS</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2581-9445</issn>
<publisher>
<publisher-name>Indian Psychiatric Society - Tamil Nadu</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.32746/ijmhns.2021.v4.i1.41</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>A Study on The Health Seeking Behaviour of People with Pre-Existing Mental Illness During COVID 19 Pandemic</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Sudha</surname>
<given-names>R</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sudhakar</surname>
<given-names>S</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ranganathan</surname>
<given-names>T</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kannan</surname>
<given-names>PP</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution content-type="original">Junior Resident, Department of Psychiatry, Chengalpattu Medical College</institution>
<institution content-type="orgname">Chengalpattu Medical College</institution>
<institution content-type="orgdiv1">Junior Resident</institution>
<institution content-type="orgdiv2">Department of Psychiatry</institution>
<addr-line>
<named-content content-type="city">Chengalpattu</named-content>
<named-content content-type="state">Tamil Nadu</named-content>
</addr-line>
<country country="IN">India</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution content-type="original">Assistant Professor of Psychiatry, Department of Psychiatry, Chengalpattu Medical College</institution>
<institution content-type="orgname">Chengalpattu Medical College</institution>
<institution content-type="orgdiv1">Assistant Professor of Psychiatry</institution>
<institution content-type="orgdiv2">Department of Psychiatry</institution>
<addr-line>
<named-content content-type="city">Chengalpattu</named-content>
<named-content content-type="state">Tamil Nadu</named-content>
</addr-line>
<country country="IN">India</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution content-type="original">Associate Professor of Psychiatry, Chengalpattu Medical College</institution>
<institution content-type="orgname">Chengalpattu Medical College</institution>
<institution content-type="orgdiv1">Associate Professor of Psychiatry</institution>
<addr-line>
<named-content content-type="city">Chengalpattu</named-content>
<named-content content-type="state">Tamil Nadu</named-content>
</addr-line>
<country country="IN">India</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution content-type="original">Professor of Psychiatry, Chengalpattu Medical College and Hospital, Chengalpattu, Tamilnadu, India</institution>
<institution content-type="orgname">Chengalpattu Medical College and Hospital</institution>
<institution content-type="orgdiv1">Professor of Psychiatry</institution>
<addr-line>
<named-content content-type="city">Chengalpattu</named-content>
<named-content content-type="state">Tamil Nadu</named-content>
</addr-line>
<country country="IN">India</country>
</aff>
<author-notes>
<corresp id="c1"><bold>Address for Correspondence:</bold> Dr. Sudhakar. S, Assistant Professor, Department of Psychiatry, Government Chengalpattu Medical College, Chengalpattu, Tamilnadu, India. E-mail: <email>sudhakarpsychiatrist@yahoo.com</email>.</corresp>
<fn fn-type="other" id="fn1">
<p><bold>Running title:</bold> Health seeking in the mentally ill during COVID</p></fn>
</author-notes>
<pub-date date-type="pub" publication-format="electronic">
<day>31</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date date-type="collection" publication-format="electronic">
<year>2021</year>
</pub-date>
<volume>4</volume>
<issue>1</issue>
<fpage>23</fpage>
<lpage>27</lpage>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Indian Psychiatric Society &#x2014; Tamil Nadu Branch</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Health Seeking in The Mentally Ill During COVID</copyright-holder>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
<license-p>This is an open access article distributed under the terms of the Creative Commons license.</license-p>
</license>
</permissions>
<abstract>
<title>ABSTRACT</title>
<sec>
<title>Background</title>
<p>Health or care seeking behaviour has been defined as any action undertaken by individuals who perceive themselves to have a health problem or to be ill for the purpose of finding an appropriate remedy. Little understanding exists concerning socio-ecological barriers experience when seeking mental health care. We aimed to estimate the sociodemographic and clinical profile that affects health seeking behaviour of people with preexisting mental illness during COVID19 pandemic.</p>
</sec>
<sec>
<title>Methodology</title>
<p>A Cross sectional study done for three months duration at the department of psychiatry, Chengalpattu medical college and hospital with a sample size of 105 patients aged greater than 18 years. Consecutive patients having an International Classification of Disease 10 (ICD-10) psychiatric diagnosis, were included. Informed consent was obtained. Data regarding socio demographic and clinical profile was obtained.</p>
</sec>
<sec>
<title>Results</title>
<p>In our study,39% of the patients belonged to 30-45 and 46-60 years of age, 6.7% of patients were between the age of above 60. 60% of study participants were male and the rest werefemale.69.5 % of patients had financial crisis,70.5% of patients had decrease in the monthly income of the family by 30%or more.60% of patients had difficulty in travel to the hospital due to lack of transport facility during COVID pandemic.</p>
</sec>
<sec>
<title>Discussion and Conclusion</title>
<p>Our study shows most of patients had decrease in the monthly income of the family by 30% or more due to lockdown for COVID19 pandemic. Schizophrenia and other non affective psychosis were the most common psychiatric morbidities. Implementing community-based strategies to support resilience in psychologically vulnerable individuals during the COVID-19 crisis is fundamental for any community.</p>
</sec>
</abstract>
<kwd-group xml:lang="en">
<title>Keywords</title>
<kwd>Health seeking behaviour</kwd>
<kwd>mental illness</kwd>
<kwd>COVID 19 pandemic</kwd>
</kwd-group>
<counts>
<table-count count="3"/>
<ref-count count="16"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>INTRODUCTION</title>
<p>Health or care seeking behaviour has been defined as any action undertaken by individuals who perceive themselves to have a health problem or to be ill for the purpose of finding an appropriate remedy.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> According to Anderson&#x2019;s behavioural model, health seeking behaviour (HSB) is the behavioural component that drives healthcare utilization. Conceptually, HSBs are mediated by predisposing factors (e.g., age, sex, cultural, ethnic, and social factors), enabling factors (e.g., financial, organizational, and access to care), and need factors (e.g., both the patient and the medical provider&#x2019;s view and experiences).<sup><xref ref-type="bibr" rid="B2">2</xref></sup></p>
<p>Previous studies reveal that HSB is affected by various factors like socio-economic status, sex, age, the social status, the type of illness, access to services and perceived quality of the service.<sup><xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B4">4</xref>,<xref ref-type="bibr" rid="B5">5</xref>,<xref ref-type="bibr" rid="B6">6</xref></sup> As a result of the emergence of coronavirus disease 2019 (COVID-19) outbreak, a situation of socio-economic crisis and psychological distress rapidly occurred worldwide.<sup><xref ref-type="bibr" rid="B7">7</xref></sup> It is causing widespread concern, fear and stress, all of which are natural and normal reactions to the changing and uncertain situation that everyone finds themselves in. The issue faced by each and every one of us is how we manage and react to the stressful situation unfolding so rapidly in our lives and communities.<sup><xref ref-type="bibr" rid="B8">8</xref></sup></p>
<p>Health-seeking behavior can help address problems and delay in early identification and optimal management of mental disorders during pandemic. Across the globe, studies have shown that only about a third of the population with any mental illness approaches the mental health services.<sup><xref ref-type="bibr" rid="B9">9</xref></sup> Population with mental illness needs to be treated without treatment gap because they are prone for relapse, and have functional impairment.<sup><xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B11">11</xref>,<xref ref-type="bibr" rid="B12">12</xref></sup> We aimed to study thesociodemographic and clinical profile that could affect the health seeking behavior of people with preexisting mental illness during COVID19 pandemic.</p>
</sec>
<sec sec-type="materials|methods">
<title>MATERIALS AND METHODS</title>
<p>This cross-sectional study was done at the department of psychiatry at Chengalpattu medical college for a period of 3 months from May 2020 to July 2020.105 patients (age &#x3E; 18 years) having an International Classification of Disease 10 (ICD-10) psychiatric diagnosis, were chosen by random sampling. Patients who were below 18years of age and those not offering consent were excluded from the study. Institutional ethical committee approval was obtained. After obtaining informed consent, a semi structured proforma was administered to obtain the sociodemographic and clinical profile.</p>
<p><italic>Statistical Analysis:</italic> Data from all patients were tabulated on excel spreadsheet, frequency distribution was obtained and statistical analysis was performed using IBM SPSS advanced statistics 16.0</p>
</sec>
<sec sec-type="results">
<title>RESULTS</title>
<sec>
<title>Socio-demographic profile of patients</title>
<p>Out of the 105 patients, 63 (60%) patients were male,42 (40%) were female; 39% of the patients belonged to 30-45 and 46-60 years of age each and 6.7% of patients were between the age of above 60. 86% of patients were from lower socioeconomic status, the remaining 18% were from middle socioeconomic status. 77% of patients had temporary occupational status. 69.5 % of patients had financial crisis, (p-0.002), statistically significant. 70.5% of patients had decrease in the monthly income of the family by 30%or more during COVID19 pandemic. <bold>(<xref ref-type="table" rid="T1">Table 1</xref>)</bold></p> 
<table-wrap id="T1" orientation="landscape" position="float">
<label>Table 1</label>
<caption>
<title>Socio-demographic profile of patients</title>
</caption>
<table cellpadding="5" cellspacing="5" frame="box" rules="all">
<thead>
<tr>
<th align="left" valign="top">S No.</th>
<th align="left" valign="top" colspan="2">Variable</th>
<th align="left" valign="top">Frequency N (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="4">&#x2003;1</td>
<td align="left" valign="top" rowspan="4">&#x2003;Age</td>
<td align="left" valign="top">&#x2003;18 &#x2013; 30</td>
<td align="center" valign="top">16(15.2)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;31 &#x2013; 45</td>
<td align="center" valign="top">41(39)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;46 &#x2013; 60</td>
<td align="center" valign="top">41(39)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;&#x3E;60</td>
<td align="center" valign="top">7(6.7)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">&#x2003;2</td>
<td align="left" valign="top" rowspan="2">&#x2003;Sex</td>
<td align="left" valign="top">&#x2003;Male</td>
<td align="center" valign="top">63(60)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Female</td>
<td align="center" valign="top">42(40)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">&#x2003;3</td>
<td align="left" valign="top" rowspan="2">&#x2003;Marital Status</td>
<td align="left" valign="top">&#x2003;Unmarried</td>
<td align="center" valign="top">19(18.1)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Married</td>
<td align="center" valign="top">86(81.9)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">&#x2003;4</td>
<td align="left" valign="top" rowspan="3">&#x2003;Socioeconomic Status</td>
<td align="left" valign="top">&#x2003;Lower</td>
<td align="center" valign="top">86(81.9)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Middle</td>
<td align="center" valign="top">18(17.1)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Upper</td>
<td align="center" valign="top">1(1)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">&#x2003;5</td>
<td align="left" valign="top" rowspan="2">&#x2003;Occupation</td>
<td align="left" valign="top">&#x2003;Temporary</td>
<td align="center" valign="top">77(73.3)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Permanent</td>
<td align="center" valign="top">28(26.7)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">&#x2003;6</td>
<td align="left" valign="top" rowspan="2">&#x2003;Financial crisis</td>
<td align="left" valign="top">&#x2003;Present</td>
<td align="center" valign="top">73(69.5)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Absent</td>
<td align="center" valign="top">32(30.5)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">&#x2003;7</td>
<td align="left" valign="top" rowspan="2">&#x2003;Decrease in monthly income</td>
<td align="left" valign="top">&#x2003;Yes</td>
<td align="center" valign="top">74 (70.5)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;No</td>
<td align="center" valign="top">31 (29.5)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Health seeking profile of patients</title>
<p>80% of patients report in psychiatric outpatient department by proxy with family members, among those with represented by proxy, 80% of patients were represented by family members and 20% were represented by individuals other than family members during the COVID19 pandemic.</p>
<p>46.7% of patients had travel distance more than 20 kilometers and 60% of patients had difficulty in travel to the hospital due to lack of transport facility during COVID pandemic. 86.6% of patients were seeking mental health care facility for monthly regular drugs and one patient for emergence of new psychotic symptoms related to COVID infection.<bold>(<xref ref-type="table" rid="T2">Table 2</xref>)</bold></p>
<table-wrap id="T2" orientation="landscape" position="float">
<label>Table 2</label>
<caption>
<title>Health seeking profile of patients</title>
</caption>
<table cellpadding="5" cellspacing="5" frame="box" rules="all">
<thead>
<tr>
<th align="center" valign="middle">S No.</th>
<th align="center" valign="middle" colspan="2">Variable</th>
<th align="center" valign="middle">Frequency N (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">&#x2003;1</td>
<td align="left" valign="top" rowspan="2">&#x2003;Represented by aproxy?</td>
<td align="left" valign="top">&#x2003;Yes</td>
<td align="center" valign="top">51(48.6)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;No</td>
<td align="center" valign="top">54(51.4)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">&#x2003;2</td>
<td align="left" valign="top" rowspan="2">&#x2003;Relationship of the proxy</td>
<td align="left" valign="top">&#x2003;Family Members</td>
<td align="center" valign="top">40(39.9)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Others</td>
<td align="center" valign="top">65(60.1)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">&#x2003;3</td>
<td align="left" valign="top" rowspan="4">&#x2003;Duration of illness</td>
<td align="left" valign="top">&#x2003;1 - 6 Months</td>
<td align="center" valign="top">12(11.4)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;6 - 12 Months</td>
<td align="center" valign="top">8(7.6)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;1 - 5 Year</td>
<td align="center" valign="top">36(34.3)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;> 5 years</td>
<td align="center" valign="top">49(46.7)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="6">&#x2003;6</td>
<td align="left" valign="top" rowspan="6">&#x2003;Mode of transport</td>
<td align="left" valign="top">&#x2003;Walk</td>
<td align="center" valign="top">17(16.2)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Bicycle</td>
<td align="center" valign="top">2(1.9)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Two-wheeler</td>
<td align="center" valign="top">78(74.3)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Four-wheeler</td>
<td align="center" valign="top">3(2.9)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Hired vehicle</td>
<td align="center" valign="top">2(1.9)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Public transport</td>
<td align="center" valign="top">3(2.9)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">&#x2003;5</td>
<td align="left" valign="top" rowspan="2">&#x2003;Difficulty in access</td>
<td align="left" valign="top">&#x2003;Yes</td>
<td align="center" valign="top">63(60)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;No</td>
<td align="center" valign="top">42(40)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">&#x2003;6</td>
<td align="left" valign="top" rowspan="3">&#x2003;Travel distance</td>
<td align="left" valign="top">&#x2003;&#x3C;10KM</td>
<td align="center" valign="top">35(33.3)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;10-20 KM</td>
<td align="center" valign="top">21(20)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;>20KM</td>
<td align="center" valign="top">49(46.7)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">&#x2003;7</td>
<td align="left" valign="top" rowspan="3">&#x2003;Reason for visit</td>
<td align="left" valign="top">&#x2003;New symptoms</td>
<td align="center" valign="top">1 (1)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Relapse</td>
<td align="center" valign="top">13 (12.4)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Routine review</td>
<td align="center" valign="top">91 (86.7)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Diagnostic profile of patients</title>
<p>Schizophrenia was the most common diagnostic category. Bipolar and depressive disorders were also common.</p>
<table-wrap id="T3" orientation="landscape" position="float">
<table cellpadding="5" cellspacing="5" frame="box" rules="all">
<thead>
<tr>
<th align="center" valign="middle">Sl No.</th>
<th align="left" valign="middle">&#x2003;Diagnostic Category</th>
<th align="left" valign="middle">&#x2003;Frequency</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">&#x2003;Anxiety disorder</td>
<td align="left" valign="middle">&#x2003;16.2</td>
</tr>
<tr>
<td align="center" valign="middle">2</td>
<td align="left" valign="middle">&#x2003;Depressive disorder</td>
<td align="left" valign="middle">&#x2003;16.2</td>
</tr>
<tr>
<td align="center" valign="middle">3</td>
<td align="left" valign="middle">&#x2003;Bipolar disorder</td>
<td align="left" valign="middle">&#x2003;19</td>
</tr>
<tr>
<td align="center" valign="middle">4</td>
<td align="left" valign="middle">&#x2003;Substance use disorder</td>
<td align="left" valign="middle">&#x2003;12.4</td>
</tr>
<tr>
<td align="center" valign="middle">5</td>
<td align="left" valign="middle">&#x2003;Schizophrenia</td>
<td align="left" valign="middle">&#x2003;24.8</td>
</tr>
<tr>
<td align="center" valign="middle">6</td>
<td align="left" valign="middle">&#x2003;Others</td>
<td align="left" valign="middle">&#x2003;11.4</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion">
<title>DISCUSSION</title>
<p>The current study was conducted with the aim of studying clinical characteristics of people with pre-existing mental illness attending psychiatric OPD during COVID19 pandemic. Our study shows most of patients had decrease in the monthly income of the family by 30%or more due to lockdown for COVID19 pandemic. PanchalN et al 2020 has reported to address the mental well-being of the general population, and minimizing poor mental health outcomes,increasing access to mental health care.<sup><xref ref-type="bibr" rid="B7">7</xref></sup> Data from the previous study found that a higher share of households that lost income or employment reported negative mental health impacts from worry or stress over the coronavirus than households that have not lost income or employment.<sup><xref ref-type="bibr" rid="B7">7</xref>,<xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B11">11</xref></sup></p>
<p>Our study shows schizophrenia and other non affective psychosis were the most common psychiatric morbidities followed by depression and anxiety disorders and substance use disorders. According to findings in study done by Kohn R et al,a review of 37 studies on service utilization revealed high rates of treatment gap for various mental illnesses across different countries. Alcohol use disorders had the highest treatment gap at 78.1% while the lowest was for schizophrenia and other non affective psychosis at 32.2%.<sup><xref ref-type="bibr" rid="B9">9</xref></sup> There are structural barriers affecting the health-seeking process that go beyond attitudes, for example, costs, waiting times and transportation. Previous research, which concluded that structural barriers were the most relevant.<sup><xref ref-type="bibr" rid="B13">13</xref>,<xref ref-type="bibr" rid="B14">14</xref></sup> In our study due to lockdown period non-availability of public transport most of them used their own vehicle, this is also causing impact on health seeking behaviour. Among the general public at the individual level, COVID Pandemic can precipitate new psychiatric symptoms in people without mental illness, aggravate the condition of those with pre-existing mental illness and cause distress to the caregivers of affected individuals.<sup><xref ref-type="bibr" rid="B10">10</xref></sup> Regardless of exposure, people may experience fear and anxiety of falling sick or dying, helplessness, or blame of other people who are ill, potentially triggering off a mental breakdown.<sup><xref ref-type="bibr" rid="B12">12</xref>,<xref ref-type="bibr" rid="B15">15</xref></sup> Significant psychiatric morbidities have been found to vary from depression, anxiety, panic attacks, somatic symptoms, and post-traumatic stress disorder symptoms, to delirium, psychosis and even suicidality.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> Strength of this study is that the data was collected via in-person interview by trained psychiatry residents which helped to establish rapport easily and thereby improved the recruitment process and quality of data collected.<sup><xref ref-type="bibr" rid="B13">13</xref></sup> The Limitations of this study are that Sample size was small andit is a hospital-based sample rather than community-based sample. We did not have information about the participant&#x2019;s previous pattern of health seeking. Due to non availability of public transport, daily outpatient census was reduced during the lockdown period. Large sampled community-based study would have been more appropriate to actually know who did not seek mental health care.</p>
</sec>
<sec sec-type="conclusion">
<title>CONCLUSION</title>
<p>The mental health and psychosocial consequences of the COVID-19 pandemic may be particularly serious to those who are already vulnerable to biological or psychosocial stressors (including people affected by mental health problems). In our study majority of patients has financial crisis and difficulty in reaching mental health services due to COVID-19 pandemic. The findings of our study also suggest that most of participants likely to discuss their concerns with, and seek help from, mental health professionals if they believe that health care workers trustworthy. Empathetic communication and relationships between patients and care providers, and customized patient-centered care promote people&#x2019;s trust in care providers and increase the use of mental health services. These issues need to be highlighted and addressed to achieve better treatment outcome for these patients. Hence strengthening of existing community care programmes like the district mental health programme (DMHP) would ensure that psychiatric patient&#x2019;s need would be addressed during such pandemic/ health crisis.</p>
</sec>
</body>
<back>
<sec>
<title>Source of funding</title>
<p>This research has not received specific financialgrant from any funding agency in the public, commercial or not-for-profit sectors</p>
</sec>
<sec>
<title>Conflict of interest</title>
<p>The authors have declared no conflict of interest with respect to the research, authorship,and/or publication of this article</p>
</sec>
<ack>
<title>Acknowledgement</title>
<p>None</p>
</ack>
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