<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJPsych</journal-id><journal-title-group><journal-title>Open Journal of Psychiatry</journal-title></journal-title-group><issn pub-type="epub">2161-7325</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojpsych.2020.101001</article-id><article-id pub-id-type="publisher-id">OJPsych-97265</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Psychiatric Expertise in Benin Penal Justice Context: What Do They Reveal?
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Francis</surname><given-names>Tognon</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Cedric</surname><given-names>Bigot</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yves</surname><given-names>Amonles</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Feldia</surname><given-names>Adéossi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Medicine, Facultés de Sciences de la Santé, Cotonou, Benin</addr-line></aff><aff id="aff1"><addr-line>Unit of Psychiatry, Faculté de Médecine, Parakou, Benin</addr-line></aff><pub-date pub-type="epub"><day>20</day><month>12</month><year>2019</year></pub-date><volume>10</volume><issue>01</issue><fpage>1</fpage><lpage>8</lpage><history><date date-type="received"><day>15,</day>	<month>November</month>	<year>2019</year></date><date date-type="rev-recd"><day>17,</day>	<month>December</month>	<year>2019</year>	</date><date date-type="accepted"><day>20,</day>	<month>December</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  In this study, the authors describe the profile of people seen in criminal psychiatric expertise in northern Benin and their results. It covered the 138 psychiatric assessments carried out as part of criminal proceedings in the years 2017 and 2018. Expertises were on men in 94.9% of the cases. They were over 30 years old in 66.2% of cases. They were prosecuted for blood crimes in 89.5% of cases. The defendants were in detention at the time of the expert in 87.5% of cases. Psychiatric experts diagnosed a psychiatric disorder in 22.8% of cases. There was a relationship between the identified psychiatric disorder and the offense that motivated the charge in 25.8% of the mental disorder cases. It was exclusively cases of psychotic disorders. There was an abolition of discernment in 3.8% of the accused.
 
</p></abstract><kwd-group><kwd>Psychiatric Expertise</kwd><kwd> Criminal Responsibility</kwd><kwd> Psychoses</kwd><kwd> Forensic Psychiatry</kwd><kwd> Dangerousness</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>In judicial practice, a magistrate confronted with a problematic situation has latitude in requesting any person of his choice to supplement his observations, by either consultation or offering input, on a criminal incident that requires expert knowledge [<xref ref-type="bibr" rid="scirp.97265-ref1">1</xref>]. Article 173 of the Code of Criminal Justice of Benin suggests that “any court may order expert appraisal in the case that a question of a technical nature arises” [<xref ref-type="bibr" rid="scirp.97265-ref2">2</xref>].</p><p>In the penal context, psychiatric expertise is highly sought after. Unlike thanatological, anatomopathological or toxicological expertise, it is very inexpensive. Psychiatric expertise may relate to the victim of the offence or to the person charged with the offence. The criminal responsibility of the accused is described by the Penal Code, which states in article 64 that “there is no crime or offence when the defendant was in a state of insanity at the time of the action or when he was compelled by a power he could not resist” [<xref ref-type="bibr" rid="scirp.97265-ref3">3</xref>]. The notion of dementia refers here to psychic or neuropsychic disorders that may justify criminal irresponsibility. It is accepted in law that a person who, at the time of the crime, suffers from a psychic disorder or is in a psychotic state and has lost his judgement or control of his acts could not be held responsible for his acts [<xref ref-type="bibr" rid="scirp.97265-ref4">4</xref>]. As part of the criminal proceedings, the judge asks a doctor to educate him on the subject. This doctor, after examining the accused, will enlighten the magistrate about the existence of a psychiatric disorder. If necessary, the doctor will have to decide on the existence of a relationship between the psychiatric disorder identified and the offence committed. He will also have to decide the impact of the disorder on the accused’s capacity for discernment. The doctor can additionally assess the danger of the accused to themselves and others and determine possible care measures.</p><p>This study examined the beneficiaries of this type of expertise, the circumstances in which such testimony is carried out and its results.</p></sec><sec id="s2"><title>2. Methods</title><p>This study is a cross-sectional, descriptive, retrospective and mono-centric. It concerned all the criminal psychiatric expert appraisals carried out in the department of psychiatry of the Departmental and University Hospital Centre of Borgou in Parakou. The reports on the expert appraisals carried out during the years 2017 and 2018 and the related requisitions have been collected. The sample was composed with all the criminals prosecuted for a criminal offence which had been examined in the department at the request of a judge. To be included in the study, the person had to be over 18 years old, and the mission requested by the judge had to be related to the state of mental health of the subject. Civilian appraisals were not considered. A scorecard developed as part of this study was used to analyse the reports. We distinguished three categories of variables: Sociodemographic variables, those related to the medico-legal context and those related to the conclusions of the experts. To guarantee judicial secrecy, the investigators did not have access to information that could have made it possible to identify the person about whom the expertise was provided. The data was encoded and then analysed with SPSS v25 software. The variables were described in terms of frequency, mean and standard deviation.</p></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Sociodemographic Characteristics</title><p>A total of 138 medico-psychiatric assessments were included in this study. <xref ref-type="table" rid="table1">Table 1</xref> presents the distribution of subjects by sociodemographic characteristics. Male subjects accounted for 94.9% (n = 131) of all people surveyed. The average age at</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sociodemographics characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >n</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >129</td><td align="center" valign="middle" >94.85</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >5.15</td></tr><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >[14 - 19]</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >10.29</td></tr><tr><td align="center" valign="middle" >[20 - 29]</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >23.53</td></tr><tr><td align="center" valign="middle" >[30 - 39]</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >28.68</td></tr><tr><td align="center" valign="middle" >[40 - 49]</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >22.79</td></tr><tr><td align="center" valign="middle" >[50 - 59]</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >10.29</td></tr><tr><td align="center" valign="middle" >[60 - 70]</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >4.41</td></tr><tr><td align="center" valign="middle" >Type of employment</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Agricultural production</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >43.38</td></tr><tr><td align="center" valign="middle" >Cattle breeding</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >28.68</td></tr><tr><td align="center" valign="middle" >Employee</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >7.35</td></tr><tr><td align="center" valign="middle" >Trader</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.21</td></tr><tr><td align="center" valign="middle" >Artisan</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >11.76</td></tr><tr><td align="center" valign="middle" >Unemployed</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >6.62</td></tr><tr><td align="center" valign="middle" >Religion</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Islam</td><td align="center" valign="middle" >99</td><td align="center" valign="middle" >72.79</td></tr><tr><td align="center" valign="middle" >Chritianity</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >21.32</td></tr><tr><td align="center" valign="middle" >Endodenous</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.21</td></tr><tr><td align="center" valign="middle" >No religion</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3.68</td></tr><tr><td align="center" valign="middle" >Marital status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >98</td><td align="center" valign="middle" >72.06</td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >25.74</td></tr><tr><td align="center" valign="middle" >Divorced</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.21</td></tr><tr><td align="center" valign="middle" >Origine</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Beninese</td><td align="center" valign="middle" >125</td><td align="center" valign="middle" >91.90</td></tr><tr><td align="center" valign="middle" >Non Beninese</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >8.10</td></tr><tr><td align="center" valign="middle" >Level of schooling</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Unschooled</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >58.82</td></tr><tr><td align="center" valign="middle" >Primairy</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >19.85</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >13.24</td></tr><tr><td align="center" valign="middle" >University</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >8.09</td></tr><tr><td align="center" valign="middle" >Socioeconomic level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >81</td><td align="center" valign="middle" >59.6</td></tr><tr><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >39.0</td></tr><tr><td align="center" valign="middle" >Hight</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3.7</td></tr></tbody></table></table-wrap><p>the time of the surveys was approximately 36 years (mean = 35.8 years, standard deviation 13 years). The extreme ages were 14 and 70 years old. The most represented age group was [30 - 39] years. Subjects reported being married in 72.6% of cases (n = 98). Among them, 42 subjects had more than one wife (42.9%). Islam was the most widely practised religion (72.9%). A proportion of 21.3% of the sample had attained education beyond primary school (n = 29).</p></sec><sec id="s3_2"><title>3.2. Medico-Legal Context</title><p>All expert appraisals were related to persons prosecuted for incidents qualified as crimes. <xref ref-type="table" rid="table2">Table 2</xref> shows the distribution of subjects according to the charges raised against them. Of the 13 sexual offences, there were nine (69.2%) prosecutions for minor rape. Deadly blows (36.0%) and assassinations (26.5%) were the primary reasons for prosecuting cases of homicides.</p><p>The accused persons recognized the crimes with which they were accused in 69.9% of the cases (n = 95).</p><p>In blood crimes (N = 102), information on alleged victims was available in 82.3% of cases (n = 84). There were 36 female victims (42.9%). The victim was known to the accused in 46.4% of the cases (n = 39). The victim was related to the prosecuted individual in 13 cases. Three (2.2%) of the reported blood crimes were related to the context of domestic violence.</p><p>The requests for expert appraisals came from courts of appeal (86.8%) and courts of first jurisdiction (13.2%). The most common applicants were the attorney-generals, who issued 79.4% of psychiatric and psychiatric appraisals for this series (n = 108). The defendants in detention at the time of the expert appraisals accounted for 87.5% of the study population. Only six appraisals were ordered before the end of the first year of detention of the accused.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Reason for prosecution</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Law offences</th><th align="center" valign="middle" >n</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Sexuel offences</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Rape</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >9.56</td></tr><tr><td align="center" valign="middle" >Sexual touching</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.74</td></tr><tr><td align="center" valign="middle" >Homicide</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Deadly blows</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >36.03</td></tr><tr><td align="center" valign="middle" >Assassination</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >26.47</td></tr><tr><td align="center" valign="middle" >murder</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >12.50</td></tr><tr><td align="center" valign="middle" >Autres infractions</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Steal</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >5.88</td></tr><tr><td align="center" valign="middle" >Aggravated injuries</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >5.15</td></tr><tr><td align="center" valign="middle" >quackery</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.21</td></tr><tr><td align="center" valign="middle" >Human organs trafficking</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.47</td></tr></tbody></table></table-wrap></sec><sec id="s3_3"><title>3.3. Results of the Medical-Psychiatric Examination</title><p>The accused persons reported having a psychiatric history in 2.9% of cases (n = 4). Only one of the subjects was able to demonstrate that his pathology (depression) had been medically treated. For the other 3, the pathology was not identifiable, and the treatment was performed with endogenous means.</p><p>Medical history (non-psychiatric) was reported by 26 subjects (19.1%). These antecedent conditions included forms of arterial hypertension (18 cases), diabetes (3 cases), hearing impairment (3 cases) and respiratory illness (2 cases).</p><p>A psychiatric disorder was diagnosed in 31 of the accused (22.8%). <xref ref-type="table" rid="table3">Table 3</xref> shows the distribution of medico-psychological afflictions among the accused. The frequency of psychiatric disorders was 38.5 in the group of those with a low socio-economic level compared to 9.3% in the rest of the population (p = 0.001).</p><p>Psychotic disorders accounted for 29.0% of psychiatric disorders.</p><p>In the psychotic disorders group, there was a relationship between the identified psychiatric disorder and the offence that motivated the charge in 25.8% of the mental disorder cases. Criminal responsibility was abolished in 3.8% of the accused and was altered in 2.2%. The cases in which criminal responsibility was abolished or altered exclusively concerned accused persons diagnosed with a psychotic disorder.</p><p>Four of the accused were described as having a dangerous character requiring psychiatric detention (2.9%).</p><p>The accused who were considered to be fully responsible accounted for 94.9% of the total number of subjects. Of the seven accused for whom the expert opinion was in favour of a lack of criminal responsibility, 5 of them, or 71.4%, had spent more than three years in prison before being examined by the expert.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>This study examines the profile of persons charged with crimes and subjected to a medical-psychiatric forensic examination; the primary purpose of this work was to ensure that the accused had full discretion at the time of the act.</p><p>The study reveals that the defendants submitted for expert appraisal were mostly young adults aged between 20 and 40, male (94.85%) and married (72.6%). The vast majority of them did not attend school. These indictees had</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of psychiatric disordes</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >n</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Troubles psychotiques</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Schizophrenia</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3.7</td></tr><tr><td align="center" valign="middle" >Psychotic disorder due to drugs</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.5</td></tr><tr><td align="center" valign="middle" >Puerperal psychosis</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.7</td></tr><tr><td align="center" valign="middle" >Neurodegenerative disorder (dementia)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.7</td></tr><tr><td align="center" valign="middle" >Depressive disorder</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >16.2</td></tr></tbody></table></table-wrap><p>characteristics similar to those of the prison population observed in Benin and other countries of sub-Saharan Africa. A study conducted in prisons in southern Benin found that men accounted for 93.9% of the prison population [<xref ref-type="bibr" rid="scirp.97265-ref5">5</xref>]. In Nigeria, those charged with homicide are men in 93% of cases [<xref ref-type="bibr" rid="scirp.97265-ref6">6</xref>]. The meta-analysis conducted in 2019 by Lovett et al. revealed that the prison population in sub-Saharan Africa consisted of men in proportions ranging from 93% to 100% [<xref ref-type="bibr" rid="scirp.97265-ref7">7</xref>]. The average ages fell primarily in the age group of 31 - 37 years [<xref ref-type="bibr" rid="scirp.97265-ref7">7</xref>]. In our series, the accused are most commonly married (72%) individuals who did not receive formal education (59%). Similar observations are also made in Burkina Faso [<xref ref-type="bibr" rid="scirp.97265-ref8">8</xref>], Nigeria [<xref ref-type="bibr" rid="scirp.97265-ref9">9</xref>], and Uganda [<xref ref-type="bibr" rid="scirp.97265-ref10">10</xref>].</p><p>In our series, homicides (75%) and rapes (9.6%) were the crimes for which medical-psychiatric expertise was most often requested. These crimes are considered violent crimes and are tried during assizes. In Benin’s judicial practice, the absence of a psychiatric report in the accused’s file is often a reason for referral of the case to a later session. This tendency explains why the majority of the appraisals were requested by magistrates of the court of appeal.</p><p>In the prison environment, the prevalence of psychiatric disorders is generally high, among which depressive disorders are the most frequent [<xref ref-type="bibr" rid="scirp.97265-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.97265-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.97265-ref13">13</xref>]. In our study, the frequency of depressive disorders seems relatively low (19.8%) compared to the results of Nanema et al. [<xref ref-type="bibr" rid="scirp.97265-ref8">8</xref>] and those of Osasona et al. [<xref ref-type="bibr" rid="scirp.97265-ref14">14</xref>], who reported prevalences of 33% and 78%, respectively. The variations in prevalence observed from one study to the next can be explained by choice of assessment tools for disorders but also by the socio-cultural context [<xref ref-type="bibr" rid="scirp.97265-ref15">15</xref>]. In the specific context of our study, the under-representation of depressive disorders can be explained by the lack of relevance of their evocation in the context of the evaluation of criminal irresponsibility during violent crimes. The risk of a depressive subject committing a violent crime is low [<xref ref-type="bibr" rid="scirp.97265-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.97265-ref17">17</xref>]. Indeed, individuals with depression are more likely to be victims of [<xref ref-type="bibr" rid="scirp.97265-ref18">18</xref>] homicide. As a result, experts tend not to insist on exploring this type of pathology in their reports. Attention is more focused on the psychotic disorders that are most associated with violent crime. In our series, the frequency of psychotic disorders was 5.9%. These disorders were all been diagnosed in people charged with blood crimes. Many authors have stated that there is an increased risk of violence in people with schizophrenia [<xref ref-type="bibr" rid="scirp.97265-ref19">19</xref>] or psychoses. A major mental disorder may be observed in 15% of murderers, and psychotic disorders multiply the risk of committing an act of violence by 10 in men compared to 8 in women [<xref ref-type="bibr" rid="scirp.97265-ref19">19</xref>]. Homicides perpetrated by people with psychotic disorders account for between 4% and 10% of all homicides. The accused often have risk factors such as young age, male sex and low socioeconomic level [<xref ref-type="bibr" rid="scirp.97265-ref20">20</xref>]. In our study, only the low socioeconomic level significantly affects psychiatric disorders. More than the diagnosis of mental illness, the relationship between the illness and the criminal act is what interests the judge. The findings of the expert appraisal strongly impact the answer to the question of criminal responsibility; the more recent the crime is, the better the expert will be able to answer this question. At a distance from the facts, it may be difficult to distinguish an individual lying about a mental condition from the one who actually acted under the influence of a psychosis induced by a drugs The two accused in our series for whom such a diagnosis was made benefited from early expert appraisal. The expert can only form a decision based on his findings. Without clinical evidence, he cannot support the abolition or alleviation of the accused’s criminal culpability. In cases of belated review, the accused, if found not guilty, is deprived of his right not to be imprisoned or to have his sentence reduced. Improving inmate access to medical and psychiatric care may help to prevent these kinds of unfortunate situations. In Benin practice model, a doctor is required to examine the accused in police custody and determines the necessity of providing psychiatric expertise. But justice does not charge him for the care. Indeed the expert physician can not be the attending physician. Because of that in this study, the results of the therapeutics interventions could not be presented. In fact psychiatric disorders of these people are not often treated. Expertise is the only opportunity for him to meet a psychiatrist. They do not receive any treatment after the consultation. Prison policy in Benin should include psychiatric care to prisoners. It is also necessary to go beyond it. The work to be done upstream is to make psychiatric consultations more accessible to the people and to destroy the existing taboos on mental illness. It is the way to reduce incidence the influence of psychiatric disorders on crime</p></sec><sec id="s5"><title>5. Conclusion</title><p>Medical-psychiatric expert appraisals that result in a decision in favour of criminal irresponsibility are not frequent. Such appraisals are nonetheless necessary, even indispensable, for the correct administration of justice. Benin’s justice system could benefit the utilization of more frequent expert appraisals that take place earlier in the criminal justice process.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Tognon, F., Bigot, C., Amonles, Y. and Ad&#233;ossi, F. (2020) Psychiatric Expertise in Benin Penal Justice Context: What Do They Reveal? Open Journal of Psychiatry, 10, 1-8. https://doi.org/10.4236/ojpsych.2020.101001</p></sec></body><back><ref-list><title>References</title><ref id="scirp.97265-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Ludes, B. 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