Introduction
Document title, year of publication | Purpose | How does the document discuss mental health and detention? |
---|---|---|
WHO mental health action plan 2013–2020 (2013) [72] | An action plan for Member States which outlines ways to promote mental health, prevent mental disorders, protect human rights of persons affected by mental health conditions and to reduce mortality, morbidity and disability for people with mental disorders | Mental health: Large focus on four objectives: strengthening leadership and governance for mental health; expanding service coverage for mental disorders; implementing strategies for promotion and prevention in mental health, and strengthening the evidence base for mental health research |
Detention: Mentions that inappropriate detention is more common for people with mental disorders and encourages collaboration with judicial sectors in all four objectives. Little is said about addressing the mental health of those that are specifically detained | ||
Time to deliver, report of the who independent high-level commission on noncommunicable diseases (2018) [73] | Report aims to facilitate the implementation of Sustainable Development Goal 3.4, ‘reducing premature mortality from NCDs’, as progress so far has been inadequate | Mental health: Recognizes the global impact of mental disorders and specifically discusses mental health in each of its recommendations |
Detention: No mention of people detained within the justice system | ||
World Health Organization assessment instrument for mental health systems (AIMS 2.2) (2005) [74] | Document provides guidance on data collection for WHO AIMS 2.2, a tool for collecting information on key components of a mental health system | Mental health: Assessment tool assesses the following: policy and legislation, mental health services, mental health in primary health care, human resources, public education and links with other sectors, and monitoring and research |
Detention: Includes the assessment of prison mental health services and forensic inpatient units | ||
WHO mental health and development: targeting people with mental health conditions as a vulnerable group (2010) [75] | Report presents evidence showing that people with mental health conditions comprise a vulnerable group and provides recommendations for the implementation of policies that aim to protect this marginalized group | Mental health: Highlights the need for development programs to pay more attention to people with mental health conditions as they are among the most marginalized and vulnerable groups in society but are often overlooked |
Detention: Recognizes that there is a significant problem to be addressed—people with mental health conditions are directed towards prisons, where they often do not have access to adequate mental health provisions and services | ||
WHO checklist for evaluating a mental health policy (2005) [76] | A checklist for evaluating mental health policies | Mental health: Evaluates the process of policy development and the policy’s contents. Emphasizes a multisectoral, human-rights approach to developing policies |
Detention: Suggests consulting with the justice system when developing policies but otherwise does not consider the mental health of detained people | ||
UN General Assembly, Report of the United Nations High Commissioner for human rights: mental health and human rights (2017) [77] | To identify some of the main challenges faced by people with mental health conditions or psychosocial disabilities and recommends policies which would support the full realization of human rights of this population | Mental health: Emphasizes that human rights of persons with mental illnesses are vastly neglected in society. It stresses the importance of changing policies and law to protect the human rights of this vulnerable population |
Detention: No mention of people detained within the justice system | ||
UNOPS technical guidance on prison planning (2016) [78] | A guide to prison infrastructure development based on a human rights approach | Mental health: Recognizes that people detained in prisons with mental health conditions constitute a vulnerable group that may require separate accommodation |
Health in prisons: Recognizes that there is a lack of practical guidance on prison infrastructure development which takes into consideration the Standard Minimum Rules for the Treatment of Prisoners | ||
UNODC handbook on prisoners with special needs (2009) [79] | Outlines the special needs of eight groups of adults in prisons which have a particularly vulnerable status and provides recommendations for policymakers | Mental health: Thoroughly describes the needs of people in prisons with mental health conditions and recognizes them as a vulnerable group. Highlights that promotion of mental well-being should be a key element of prison management and policies |
Health in prisons: Recognizes that imprisonment is a disproportionately harsh punishment for many people in vulnerable groups. Suggests that their special needs are better addressed away from prisons, as the harsh prison environment would likely exacerbate any existing problems | ||
United Nations expert group meeting on mental well-being, disability and disaster risk reduction (2014) [80] | Provides guidelines for countries’ Disaster Risk Reduction (DRR) policies so that they include mental health and disability as a priority | Mental health: States the need to include mental well-being and mental disabilities in all DRR frameworks, as it optimizes resilience to disasters |
Detention: No mention of people detained within the justice system | ||
United Nations standard minimum rules for the treatment of prisoners (the Nelson Mandela Rules) (2015) [81] | Revised version of rules that set out the minimum standards for the treatment of people detained in prisons | Mental health: Highlights that all individuals with mental conditions in prisons should have access to the same care they would have in the community and should be transferred to a hospital if required |
Health in prisons: Reaffirms that the punishment caused by imprisonment is by depriving individuals of liberty, so prison systems should not aggravate their suffering further |
Methods
Search strategy and selection criteria
Data collection
Risk of bias assessment
Data extraction
Reference *If same sample as another study in list | Study design | Study setting | Country setting | Comparison [If yes (Y), describe; no (N)] | Strategy, whether sample size calculation was reported for non-census strategies | Ethics reporting (documented ethics committee approval; described informed consent procedure) | Participants characteristics (sample size, mean age, percent male) *Indicates gender as inclusion criteria | Inclusion criteria (excluding age criteria) | Trial status category (C = over 50% convicted; NC = over 50% not convicted; NC/A = over 50% “awaiting trial”; JI = over 50% youth justice-involved; U = unclear; NA = not applicable; NS = not stated) | Assessment instruments (diagnostic or screening tool) | Primary outcomes (p-value listed if provided in study) | Methods risk of bias score |
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Abdulmalik et al. 2014 [82] | Prevalence | Prison | Nigeria | N | Census | Yes, Yes | 725, 31.1, 98.7% | Awaiting trial and remanded; GHQ-12 ≥ 5 for phase 2 | NC/A *Awaiting trial | GHQ-12 (S), MINI (D) | 56.6% prevalence of mental illness (MINI), assessed after scoring ≥ 5 GHQ-12. Depression 20.8%; alcohol dependence 20.6%; substance dependence 20.1%; suicidality 19.8%; antisocial personality disorder 18%; panic disorder 8.3%; OCD 8.3%; PTSD 3.3%; GAD 2.8%; psychosis 1.1% | Low |
Agbahowe et al. 1998 [83] | Prevalence | Prison | Nigeria | N | Census | No, No | 100, 31.4, 93% | Convicted; GHQ-30 > 4 for phase 2 | C *Convicted and no other classification (81%), convicted but detained (6%); convicted and condemned to death (13%) | GHQ-30 (S), Psychiatric Assessment Schedule (PAS) (D), SCAN (D) | 34% ≥ 4 score on GHQ-30; 100% of GHQ-30 ≥ 4 cases had DSM IIIR Axis I diagnosis | Low |
Agboola et al. 2017 [84] | Prevalence | Prison | Nigeria | N | Random, N | Yes, Yes | 94, 28.5, 100%* | Male | NS, awaiting trial and convicted | GHQ-28 (S), Present State Examination (PSE) (D), PULSES (S) | 39% prevalence of psychiatric morbidity (PSE). As measured by PSE, 20.2% of total participants diagnosed with depression; 14.8% anxiety; 3.2% schizophrenia; 1.1% mania; 1.1% OCD. 57.4% participants scored ≥ 5 on the GHQ-28. Of participants with psychiatric diagnosis, 39.7% with co-morbid physical illness (PULSES) | Low |
Akkinawo 1993 [85] | Prevalence | Prison | Nigeria | N | Random, NS | No, No | 136, NS, 93.4% | NA | NS | API (S), BDI (S) | 20.86% depression (BDI); 35.29% general mood disorder; 30.15% general psychopathology; 26.47% sleep disorder (API) | Medium |
*Armiya’u et al. 2013 “Prevalence of…” [86] | Prevalence | Prison | Nigeria | N | NS | No, No | 608, 32.1, 100%* | Males (though unclear); NA for phase 1, > 4 GHQ-28 for phase 2 | NC/A *60% awaiting trial, 40% convicted | GHQ-28 (S), CIDI (D) | 57% psychiatric morbidity (CIDI), administered to those with GHQ-28 score ≥ 4 | Medium |
*Armiya’u et al. 2013 “A study of…” [87] | Prevalence | Prison | Nigeria | N | NS | Yes, No | 608, 32.1, 100%* | Males (though unclear); NA for phase 1, > 4 GHQ-28 for phase 2 | NC/A *60% awaiting trial, 40% convicted | GHQ-28 (S), PULSES (S), CIDI (D) | 57% psychiatric morbidity (CIDI), administered to those with GHQ-28 score ≥ 4. 18% prevalence of co-morbid physical illness (comorbid illness indicated by PULSES) | Medium |
*Beyen et al. 2017 [88] | Prevalence | Prison | Ethiopia | N | Random, Y | Yes, Yes | 649, 27.8, 89.8% | NA | NS | GAD-7 (S), K10 (S), PHQ-9, (S) OSS (S), questionnaire (S) | 83.4% psychological distress (K10); 43.8% signs of depression (PHQ-9); 36.1% anxiety (GAD-7); 45.1% without social support (OSS). 17% suicidal ideation; 16.6% already planned to commit suicide; 11.9% at least one suicide attempt while in prison (questionnaire) | Low |
*Dachew et al. 2015 [89] (same sample as Beyen) | Prevalence | Prison | Ethiopia | N | Random, Y | Yes, Yes | 649, 27.8, 89.8% | NA | NS | K10 (S), questionnaire (S), MSPSS (S) | 83.4% psychological distress (K10). 43.6% of the respondents feel that they had been discriminated by their families, friends and significant others because of their imprisonment (questionnaire or MPSS, source not stated). 64.7% “yes” reported social support; 35.3 “no” (MPSS) | Low |
*Dadi et al. 2016 [90] (same sample as Beyen) | Prevalence | Prison | Ethiopia | N | Random, Y | Yes, Yes | 649, 27.8, 89.8% | NA | NS | GAD-7 (S) | 36.1% anxiety (GAD-7) | Low |
Fatoye et al. 2006 [91] | Prevalence | Prison | Nigeria | N | Census | No, Yes | 303, 31.2, 96.4% | NA | NC/A *81.3% awaiting trial, 18.7% sentenced | GHQ-30 (S), HADS (S) | 87.8% possible psychiatric morbidity (GHQ-30 ≥ 5). 85.3% HADS ≥ 8 significant depressive symptoms | Low |
Ibrahim et al. 2015 [92] | Prevalence | Prison | Ghana | N | Random and census, NS | Yes, Yes | 100, 37, 89% | NA | NS | K10 (S) | 64% K10 scores ≥ 25 indicating moderate to severe mental distress | Low |
Kanyanya 2007 [93] | Prevalence | Prison | Kenya | N | Census | No, Yes | 76, 33.5, 100%* | Males, convicted of sex offense | C | SCID (D), IPDE (D) | 35.5% DSM-IV Axis 1 disorder (SCID). 34% prevalence of DSM-IV Axis 2 disorders (SCID and IPDE) | Medium |
*Mafullul 2000 [94] | Prevalence | Prison | Nigeria | N | Census | No, No | 118, 33.9, 96% | Convicted of homicide | C | Psychiatric record (D) | Psychotic disorders and substance use disorders, including alcohol intoxication, suggested to be held to accountable for 39.8% persons’ offenses. 45% of participants had positive histories of substance use disorders | High |
*Mafullul et al. 2001 [95] | Prevalence | Prison | Nigeria | N | Census | Yes, No | 118, 33.9, 96% | Convicted of homicide | C | Psychiatric record (D) | 68% of the accused referred for pre-trial psychiatric assessment had killed victims as a result of psychotic motives. Court recognized that alcohol intoxication and psychotic motives accounted for the offenses of 24% of the accused. Study indicates that substance use disorders may have accounted for offenses of 45% of accused | High |
Majekodunmi et al. 2017 [96] | Prevalence | Prison | Nigeria | N | Random, Y | Yes, Yes | 196, 32.8, 100%* | Male, those with no past treatment for mental illness, no debilitating physical illness | NC/A, 69.4% awaiting trial, 30.6% convicted | SCID-IV (D), Montgomery–Asberg Depression Rating Scale (MADRS) (S),, Medical history questionnaire (S) | 30.1% depression; mean total MADRS score 23.9 among awaiting trial participants. 35.0% depression; mean total MADRS score 25.5 among awaiting trial participants. From medical history questionnaire, resence of physical complaints (p = 0.014) and chronic illness (p = 0.023) associated with depression among awaiting trial participants; family history of psychiatric illness associated with depression among convicted participants (p = 0.046) | Low |
Mela et al. 2014 [97] | Prevalence | Prison | Ethiopia | N | Census | Yes, Yes | 546, NS, 94.3% | Convicted of homicide | C | SRQ-20 (S) SCID-IV (D) | 35.5% SRQ-indicated psychological distress. Among 316 participants who agreed to undergo a psychiatric interview for Axis I diagnosis (SCID-IV), 41.8% history of substance use disorder; 25% depression; 10.1% adjustment disorder; 7.6% anxiety disorder; 0.6% PTSD; 0.6% psychotic disorder; 1.6% psychotic disorder due to medical condition; 15.8% personality disorder (SCID) | Low |
Naidoo and Mkize 2012 [98] | Prevalence | Prison | South Africa | N | Random, Y | Yes, Yes | 193, 30.5, 95.8% | NA | C *62% convicted, 38% awaiting trial | MINI (D) | 55.4% Axis 1 disorder from MINI | Medium |
Nseluke and Siziya 2011 [99] | Prevalence | Prison | Zambia | N | Random, Y | Yes, Yes | 206, 33.7, 83% | NA | NC/A *74.3% awaiting trial, 23.3% sentenced, 1.9% probation violation, 0.5% parole violation | SRQ (S) | 63.1% mental illness as indicated by SRQ | Low |
Osasona and Koleoso 2015 [100] | Prevalence | Prison | Nigeria | N | Random and census, NS | Yes, Yes | 252, 33.7, 90.9% | NA | C *57.1% sentenced, 42.9% awaiting trial | SRQ-20 (S), HADS (S) | 84.5% of the respondents had at least one type of psychiatric morbidity (SRQ and HADS combined). Prevalence of general psychiatric morbidity, SRQ-20 score ≥ 5, 80.6%. 72.6% and 77.8% were found to be positive for depression and anxiety symptoms respectively on the HADS | Low |
Schaal et al. 2012 [101] | Prevalence | Prison | Rwanda | Y (genocide survivors) | Random, NS | Yes, Yes | 269, 48.5, 65.8% (genocide perpetrators); 114, 46.6, 36.3% (survivors) | Perpetrators of the Rwandan genocide, over 18 years in 1994 | C *89.6% convicted, 10.4% not sentenced | PTSD Symptom Scale-Interview (PSS-I) (D), PDS Event Scale (S), Hopkins Symptom Checklist-25 (HSCL-25) (S), suicidality scale from the MINI (S) | Diagnostic criteria for PTSD met by 13.5% perpetrators and 46.4% of interviewed survivors (p < 0.001) (PSS-I). Clinically significant anxiety prevalence 35.8% among perpetrators (HSCL-25); 58.9% among survivors (p < .001). Depression in both groups (46% survivors vs. 41% perpetrators) (HSCL-25). 18.6% perpetrators and 19.3% survivors had suicide risk (MINI). Perpetrators with more severe depression symptoms (HSCL-25) reported high levels of trauma confrontation (PDS) and had not participated in killings | Low |
*Uche and Princewill 2015 “Clinical factors…” [102] | Prevalence | Prison | Nigeria | N | Random, Y | Yes, Yes | 400, 33.8, 98% | Awaiting trial; BDI-screen positive for phase 2 | NC/A* awaiting trial | BDI (S), SCAN Depression Component (D) | 42% BDI > 10 screen fulfilling the criteria for current depressive disorder. 42% fulfilled SCAN criteria for current depression disorder diagnosis | Low |
*Uche and Princewill 2015 “Prevalence…” [103] | Prevalence | Prison | Nigeria | N | Random, Y | Yes, Yes | 400, 33.8, 98% | Awaiting trial; BDI-screen positive for phase 2 | NC/A *89% awaiting trial, 5% convicted, 0.1% assigned legal category of “lunatics,” death row condemned 5%, serving life imprisonment jail terms 0.5% | BDI (S), SCAN depression component (D) | 42% BDI > 10 screen fulfilling the criteria for current depressive disorder. 42% fulfilled SCAN criteria for current depression disorder diagnosis | Low |
Barrett et al. 2007 [52] | Prevalence | Forensic ward | South Africa | N | Census | Yes, No | 71, NS, 94.4% | Psychiatric referrals | NC *Detained “state patients” accused but found unfit to stand trial or not responsible, referred to forensic ward | Psychiatric record (D) | Schizophrenia (35.2%), mental retardation (22.5%) and psychoses other than schizophrenia (11.3%) most prevalent, followed by bipolar disorder (5.6%). 84.5% not able to stand trial and not accountable; 7% not fit to stand trial and accountable; 8.5% not accountable and fit to stand trial | Medium |
Buchan 1976 [104] | Prevalence | Forensic ward | Zimbabwe | N | Census | No, No | 256, NS, NS | Psychiatric referrals | U *Referrals to hospital | Psychiatric record (D) | Prevalence of schizophrenia 44%; epilepsy 22% | High |
Calitz et al. 2006 [105] | Prevalence | Forensic ward | South Africa | N | Census | Yes, No | 514, 30 (median), 94.6% | Psychiatric referrals | NC/A *Awaiting trial, referrals to hospital | Psychiatric record (D) | 46% psychiatric prevalence. | Medium |
du Plessis et al. 2017 [106] | Prevalence | Forensic ward | South Africa | N | Census | Yes, No | 505, NA, 94% | Awaiting trial; psychiatric referrals | NC/A *Awaiting trial, referrals to hospital | Psychiatric record (D) | Those not accountable significantly more likely to have mental illness (p = 0.0001) and be diagnosed with schizophrenia (p = 0.0001), intellectual disability (p = 0.0001), and substance-induced psychotic disorder (p = 0.02) than those not accountable. 98% of those found not accountable had mental illness. 66% total sample had known history of substance abuse | Low |
Hayward et al. 2010 [107] | Prevalence | Forensic ward | Malawi | N | Census | No, No | 283, 30.4, 91.5% | Psychiatric referrals | U *Detained in hospital | Psychiatric record (D) | Prevalence of schizophrenia 35.5%; substance misuse 32.5%; 19.8% alcohol and 23% illicit substance; depression 3%; mania or personality disorder 0%; epilepsy 8.1% | Medium |
Hemphill and Fisher 1980 [108] | Prevalence | Forensic ward | South Africa | N | Census | No, No | 604, NS, 100%* | Males (though unclear); psychiatric referrals | NC *Pre-trial referrals to hospital | Psychiatric record (D) | 52% substance abuse of drugs, alcohol, or both. Prevalence of psychosis (53%), severe psychopathy without psychosis (21%), and non-psychotic conditions including neurosis, mild personality disorder, eplepsy and mental retardation (26%). More than 70% of patients with psychopathy screened positive for substance abuse of alcohol, drugs or both | High |
Khoele et al. 2016 [109] | Prevalence | Forensic ward | South Africa | N | Census | Yes, No | 32, 29.8, 0% | Women; charged with murder or attempted murder, psychiatric referrals | NC *Pre-trial referrals to hospital | Psychiatric record (D) | 59% psychiatric diagnosis; 28% psychotic; 25% mood disorders; 6% substance disorders; 19% attempted suicide | Medium |
Marais and Subramaney 2015 [53] | Prevalence | Forensic ward | South Africa | N | Census | Yes, Yes | 114, 32, 87% | Psychiatric referrals | NC *Detained “state patients” accused but found unfit to stand trial or not responsible, referred to forensic ward | Psychiatric record (D) | Past psychiatric history (59%); substance abuse history (71%). 69% psychotic disorders; 44% schizophrenia. Bipolar mania 4%; major depressive disorder 4%; epilepsy 4%. Alcohol the most frequently abused substance (57%); cannabis 47%. 37% reported a history of polysubstance abuse | Medium |
Matete 1991 [110] | Prevalence | Forensic ward | Kenya | N | Census | No, No | 51, 28.8, 90.2% | Psychiatric referrals | NC *Detained in hospital: court referrals to hospital, referred to as “criminal remands” | Psychiatric record (D) | 86.3% mental illness | Medium |
Mbassa 2009 [111] | Prevalence | Forensic ward | Cameroon | N | Random, NS | No, No | 12, 18.3, 66.7% | Convicted of homicide | C *Convicted, detained in hospital | Psychiatric record, ICD-10 criteria (D) | 41.7% schizophrenia; delirium 25%; personality disorder 8.3% | High |
Menezes 2010 [112] | Prevalence | Forensic ward | Zimbabwe | N | Census | Yes, Yes | 39, 35.0, 87.2 | Homicide offense, psychiatric referrals | NC *Detained in hospital: court referrals to hospital, referred to as “criminal remands” | Psychiatric record (D), questionnaire (S) | 84.61% schizophrenia or psychosis; 2.56% personality disorder; 12.82% epilepsy | Medium |
Menezes et al. 2007 [113] | Prevalence | Forensic ward | Zimbabwe, England, Wales | Y (referral patients in England and Wales) | Census | Yes, Yes | 367, 36.0, 91.8% (Zimbabwe); 1966, 29.7, 83.6% (England/Wales) | Psychiatric referrals | U *Referrals to hospital | Psychiatric record, ICD-9 criteria (D), questionnaire (S) | 78.7% of patients in Zimbabwe had a mental disorder diagnosis compared with 51.5% in England and Wales (p < 0.001). 6.3% had personality disorder diagnosis in Zimbabwe; 36.6% in England and Wales | Medium |
Odejide 1981 [114] | Prevalence | Forensic ward | Nigeria | N | Census | No, No | 53, 38.7, 83% | Psychiatric referrals | U *Referrals to hospital | PSP (D) | 75.5% schizophrenia; 5.7% drug-induced psychosis; 18.9% epilepsy (PSP) | Medium |
Offen et al. 1986 [115] | Prevalence | Forensic ward | South Africa | N | Census | No, No | 162, 20–40, 0% | Psychiatric referrals | U *Referrals to hospital | Psychiatric record (D) | 82% had psychiatric abnormality, including 34% of total sample with significant psychiatric findings, but these were not considered of a critical enough nature to warrant the label “mental illness.” | Medium |
Ogunlesi et al. 1988 [116] | Prevalence | Forensic ward | Nigeria | N | Census | No, No | 146, 34.5, 98% | Psychiatric referrals | NC *Pre-trial referrals to hospital. Not convicted at time of diagnosis, but later conviction data provided | Psychiatric record (D) | 45% schizophrenia; 4% mania; 3.3% depression; 0.7% paranoid state; 19.5% total drug abuse/dependence; 16.8% cannabis abuse; 2.7% alcoholism; 6.7% epilepsy. 75% had a previous history of psychiatric disorder; 45% admitted a previous history of drug abuse. 48% judged “criminal lunatics” either not guilty by reason of insanity or guilty but insane. 30% discharged by courts; 1 sentenced to death; 1 sentenced to a prison term. 46.3% of offenders absconded from the institution | Medium |
Prinsloo and Hesselink 2014 [117] | Prevalence | Forensic ward | South Africa | N | Purposive, NS | No, No | 91, NS, 100% | Psychiatric referrals | NC *Pre-trial referrals to hospital | Psychiatric record (D) | 83.5% at least one mental health disorder | Medium |
Strydom et al. 2011 [54] | Prevalence | Forensic ward | South Africa | N | Census | Yes, No | 120, 32.5, 95.8% | Psychiatric referrals | NC *Detained “state patients” accused but found unfit to stand trial or not responsible, referred to forensic ward | Psychiatric record (D) | Most had a history of abusing substances such as alcohol (74%), cannabis (66.7%), tobacco (29.6%) and glue (6.2%). 55.5% diagnosed with schizophrenia; 9.2% bipolar mood disorder; 5.9% psychosis due to general medical condition; 4.2% psychosis due to epilepsy; 3.4% psychosis due to substance abuse; 1.7% delirium; 10% other disorder | Medium |
Touari et al. 1993 [118] | Prevalence | Forensic ward | Algeria | N | Census | No, No | 2882, 30.1, 94.3% | Psychiatric referrals | NC *Pre-trial | Psychiatric record (D) | 11.1% diagnosis of psychosis. 1.4% diagnosis of manic depression | Medium |
Turkson and Asante 1997 [55] | Prevalence | Forensic ward | Ghana | N | Census | No, No | 130, NS, 94.6% | Psychiatric referrals and state patients | NC *Detained in hospital: Pre-trial, convicted, or found unfit to stand trial. Participants were “predominantly patients who had been found guilty but insane or those found unfit to proceed with their trial” due to “insanity” | Psychiatric record (D) and clinical observation by author (S) | 81.6% had a psychiatric diagnosis as indicated by clinical records. At the time of the study, 70.9% of total patients exhibited no florid psychotic symptoms, all patients with a diagnosis of harmful drug use were free from symptoms; 93.8% diagnosed with drug-induced psychosis were fully recovered | Medium |
Verster and Van Rensburg 1999 [119] | Prevalence | Forensic ward | South Africa | N | Census | Yes, No | 126, NS, 98.4% | Have homicide offense and psychiatric referrals | NC *Pre-trial referrals to hospital | Psychiatric record (D) | 42.1% had a psychiatric diagnosis | Medium |
Yusuf and Nuhu 2009 [120] | Prevalence | Forensic ward | Nigeria | N | Census | No, No | 19. 28.9, 73.7% | Psychiatric referrals | NS | Psychiatric record (D) | Schizophrenia was the most common psychiatric disorder (68.4%), co-morbid substance use present in 57.9% | Medium |
Zabow 1989 [121] | Prevalence | Forensic ward | South Africa | N | Census | No, No | 202, NS, 90% | Homicide convicts | NC *Pre-trial referrals to hospital | Psychiatric record (D) | 15.8% prevalence of “significant psychiatric findings.” Alcohol and drugs were contributory to the criminal behavior in 50% of cases. The number of murders committed increased by 25.2% in 1977–1984 compared to an increase of 115.8% in the number of psychiatric referrals during the same period. Following hospital assessment, 60.4% had no psychiatric diagnosis | Medium |
Atilola et al. 2014 [7] | Prevalence | Youth Institution | Nigeria | Y (school-going adolescents, age matched but school-going youth slightly younger. Detained youth 18.7 ± 2.4 years old [Range 16–20 years] vs. school kids 18.2 ± 2.5 [Range 15–19 years]) | Census | Yes, No | 144, 18.7, 100% (participants in Borstal home); 144, 18.2, 100% (school-going youth) | NA | JI *Detained in borstal institution in juvenile justice system: classified 52.1% juvenile offenders; 47.9% youth beyond parental control (no offense) | K-SADS-PL (D) | 90% of the justice-involved youth in borstal home reported exposure to at least one lifetime traumatic event, compared with 60% of the comparison group (p = 0.001). Justice-involved youth also had a higher mean number of incident lifetime traumatic events (p < 0.001), and higher prevalence rate of current and lifetime PTSD than the comparison group (p < 0.05). Justice-involved more likely to be victims of violent crime (p < 0.001), have experienced physical abuse (p < 0.001), and be perpetrators of a violent crime (p = 0.002) (K-SADS-PL) | Low |
Atilola 2012 “Different points…” [122] | Prevalence | Youth Institution | Nigeria | Y (within-institution comparison of youth on criminal code vs. youth in care of state/neglected youth) | Census | Yes, Yes | 158, 17.5, 96. % (criminal code group); 53, 12.5, 74% (in care of state) | NA | JI *75% criminal code or beyond parental control, 25% due to maltreatment/neglect | K-SADS (D) | Conduct/behavior disorders had 63% prevalence among “criminal code” youth vs. 39%, among neglect group (p < 0.001). Prevalence of multiple traumatic events 27% among criminal code youth; 26%, neglect group (p = 0.43). PTSD prevalence 13% among criminal code youth; 22% among neglect group (p = 0.12). Substance use prevalence was 61% among those on criminal code compared to 11% youth detained due to neglect/maltreatment (p = 0.003) (all K-SADS) | Medium |
Atilola 2012 “Prevalence and correlates…” [6] | Prevalence | Youth Institution | Nigeria | Y (school-going adolescents, age and gender matched, randomly selecter) | Census | Yes, Yes | 60 (in remand home), 60 (school-going), 12.5* (pooled), 66.6%* (pooled) *Only pooled statistics given | NA | NC *77% in home due to maltreatment/neglect, 10% classified as “offenders,” 13% beyond parental control | K-SADS-PL (D) | 63% remanded participants had at least one lifetime psychiatric disorder compared to 23% control (p < .001); 22% had at least one current psychiatric disorder compared to 3% control (p < .004) (K-SADS-PL) | Medium |
Atilola et al. 2016 [50] | Prevalence | Youth Institution | Nigeria | Y (within-institution comparison of “criminal code” vs. other groups) | Random, NS | Yes, Yes | 178, 15.19, 61.8% (total participants, pooled) | NA | NC *19.1% classified “young offenders,” 73.6% care and protection of state, 7.3% beyond parental control | K-SADS (D) | Lifetime prevalence rate of abuse of/dependence on any substance was 22.5%. 12.3% alcohol abuse/dependence; 17.9% other substance abuse/dependence. Higher proportion of participants who were remanded under the ‘young offender’ category met criteria for lifetime substance use disorder compared with those under the care and protection and beyond-parental-control category (p = 0.004). Length of staying on the streets or by self was associated with problematic use (abuse or dependence) (p = 0.007) (K-SADS) | Low |
*Atilola et al. 2017 “Correlations…” [123] | Prevalence | Youth Institution | Nigeria | N | Random, NS | Yes, Yes | 165, 14.3, 75% | NA | NS *Remanded youth: criminal code, neglected/in care of state, or beyond parental control | SDQ (S), PedsQo (S) | 18% abnormal SDQ score suggesting presence of psychiatric disorder; 27% had ‘highly probable’ psychopathology (SDQ). Negative correlation (p < 0.001) between total SDQ scores and overall self-reported quality of life (PedsQo) | Low |
*Atilola et al. 2017 “Status…” [124] | Prevalence | Youth Institution | Nigeria | N | Random, NS | Yes, Yes | 165, 14.3, 75.2% | NA | NS *Remanded youth: criminal code, neglected/in care of state, or beyond parental control | SDQ (S), CRAFFT (S), questionnaire (S), Audit Protocol (S) | 18.2% general psychiatric morbidity by SDQ ≥ 17; 44.6% prevalence SDQ ≥ 15; 15.8% alcohol/substance use disorder (CRAFFT > 2). 34.3% of the operational staff at the institutions had educational backgrounds relevant to psychosocial services for children/adolescents. Less than a quarter (22.4%) ever received any training in child mental health services (questionnaire and Audit protocol) | Low |
*Adegunloye et al. 2010 [125] | Prevalence | Youth Institution | Nigeria | N | Census | No, No | 53, 17.3, 100% | NA | JI * Detained in borstal institution in juvenile justice system | GHQ-12 (S), MINI-KID (D) | 67.9% current psychiatric disorder (MINI-KID). GHQ scores not reported | Low |
*Ajiboye et al. 2009 (same sample as Adegunloye) [126] | Prevalence | Youth Institution | Nigeria | N | Census | No, Yes | 53, 17.3, 100% | NA | JI * Detained in borstal institution in juvenile justice system | GHQ-12 (S), MINI-KID (D) | 67.9% current psychiatric disorder (MINI-KID). GHQ scores not reported | Low |
*Issa et al. 2009 (same sample as Adegunloye) [127] | Prevalence | Youth Institution | Nigeria | N | Census | Yes, Yes | 53, 17.3, 100% | NA | JI * Detained in borstal institution in juvenile justice system: classified “juvenile offenders” or those “in need of correction” | GHQ-12 (S) | 49.1% GHQ-positive (> 3 on GHQ-12), indicating possible psychiatric morbidity | Medium |
*Yusuf et al. 2011 (same sample as Adegunloye) [128] | Prevalence | Youth Institution | Nigeria | N | Census | No, Yes | 53, 17.3, 100% | NA | JI * I Detained in borstal institution in juvenile justice system | GHQ-12 (S), MINI-KID (D) | 50.9% had MINI-KID lifetime psychiatric diagnoses. Majority (62.3%) had psychiatric problems in the past 12 months. When all lifetime and current psychiatric diagnoses were collapsed, 98.1% had ‘any psychiatric disorder. 49.1% GHQ-12 > 3, indicating possible psychiatric morbidity | Low |
Bella et al. 2010 [51] | Prevalence | Youth Institution | Nigeria | N | NS | No, Yes | 59, 11.7, 60% | NA | NC *90% under care and protection of state, 7% beyond parental control, 3% criminal code/“youth offenders” | K-SADS (D) | 100% had significant psychosocial needs presenting as difficulty with their primary support, social environment, or education systems. 97% demonstrated some form of psychopathy | Medium |
*Olashore et al. 2016 [129] | Prevalence | Youth Institution | Nigeria | N | Census | Yes, Yes | 148, 17.1, 100% | NA | JI * Detained in borstal institution under criminal code or beyond parental control; 40.8% detained for “non-delinquent reason” | MINI-KID (D) | 56.5% met the criteria for conduct disorder (MINI-KID). Number of siblings (p = 0.010) and previous history of detention (p = 0.043) were independent predictors of CD | Low |
*Olashore et al. 2017 [130] | Prevalence | Youth Institution | Nigeria | N | Census | Yes, Yes | 148, 17.1, 100% | NA | JI * Detained in borstal institution under criminal code or beyond parental control; 40.8% detained for “non-delinquent reason” | MINI-KID (D) | 56.5% met the criteria for conduct disorder (MINI-KID). Substance use, depression, or oppositional defiant disorder not significantly associated with “offender” status. CD is associated (p < .001) with “offender” status | Low |
Reference *If same sample as another study in list | Study design | Study Setting | Country setting | Comparison [If yes (Y), describe; no (N)] | Strategy, Whether sample size calculation was reported for non-census strategies | Ethics reporting (documented ethics committee approval; described informed consent procedure) | Participants characteristics (sample size, mean age, percent male) *Indicates gender as inclusion criteria | Inclusion criteria (excluding age criteria) | Trial status category (*1) (C = over 50% convicted; NC = over 50% not convicted; NC/A = over 50% “awaiting trial”; JI = over 50% youth justice-involved; U = unclear; NA = not applicable; NS = not stated) | Assessment instruments (diagnostic or screening tool) | Primary outcomes (p-value listed if provided in study) | Methods risk of bias score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Eseadi et al. 2017 [42] | Pre-post | Prison | Nigeria | Y (15 treatment, 15 control group not receiving intervention) | Census | Yes, Yes | 15, NS, 100% (treatment); 15, NS, 100% (control) | BDI score ≥ 29 | NS *But 84% awaiting trial in the prison population from which the sample was selected | BDI (S) | Significant treatment by time interaction effect for cognitive behavioral coaching program on depression as measured by BDI (p = 0.000). Significant decrease from pre to post-test BDI score (p = 0.000) for the CBC group compared to control | Low |
Onyechi et al. 2017 [43] | Pre-post | Prison | Nigeria | Y (10 treatment, 10 control group not receiving intervention) | Census | Yes, Yes | 10, NS, 100% (treatment); 10, NS, 100% (control) | High scorers on CDS-12 | NS | CDS-12 (S) | After the cognitive behavioral intervention, prisoners in the treatment group has significantly lower post-intervention CDS-12 scores than the control group’s post-intervention scores (p = 0.00) | Medium |
Martyns-Yellowe 1993 [44] | RCT | Prison | Nigeria | Y (18 participants each in treatment groups receiving Flupenthixol or Clopenthixol injections) | Census | No, No | 18, NS, 100%* (Flupenthixol treatment); 18, NS, 100%* (Clopenthixol treatment) | Males; schizophrenia diagnosis; vagrant people removed from public places by law enforcement | U *Detained in prison asylum after “removed from streets” | BPRS (Brief Psychiatric Rating Scale) (S) | 57.1% drop in BPRS symptoms in the Flupenthixol group (p < 0.001) and 43.4% drop in the Clopenthixol group (p < 0.01). Flupenthixol group had better symptom reducation respsone than the Clopenthixol group (p < 0.01) | Medium |
Balogun and Olawoye 2013 [40] | Cross-sectional | Prison | Nigeria | Y (within institution comparison of high/low self-esteem and high/low emotional intelligence) | NS | No, No | 233, 31.3, 86.27% (total participants) | NA | NS | SDS Self-Rating Depression Scale (S), TMMS Trait Meta-Mood Scale (S), Rosenberg self-esteem scale (S) | Both emotional intelligence (p < 0.05) and self-esteem (p < 0.05) had a significant influence on depression | Low |
Idemudia 1998 [131] | Cross-sectional | Prison | Nigeria | N | Random, NS | No, No | 150, 27.8, 61.3% | NA | NS | API (S), MSQ/CCEI (S) | Long-term detained persons had higher mean scores of psychopathy symptoms (API), (p < 0.001), and neurotic symptoms (MSQ/CCEI), (p < 0.001), than those serving medium and short terms | Medium |
Idemudia 2007 [132] | Cross-sectional | Prison | Nigeria | Y (college students, matched for gender, youth characteristic, and age*) *However, we note that statistics show that college students have noticeably older mean age | Random, NS | No, No | 100, 17.2, 83% (detained participants); 100, 25.2, 81% (college students) | Homeless on street before prison | NS | PDS (S), MAACL-H (S) | Higher scores on the Psychopathic Deviate Scale (p < .05) and the Multiple Affect Adjective Checklist hostility subscale (p < .0001) among the imprisoned homeless group than the non-prison and never homeless group | Medium |
Ineme and Osinowo 2016 [133] | Cross-sectional | Prison | Nigeria | N | Random, NS | Yes, Yes | 212, 34.4, 86.3% | NA | NS | HADS (S), IS-HUS (S), questionnaire (S) | Participants who used psychoactive substances (questionnaire) before detention reported higher self-harm urges (IS-HUS) than those who did not use (p < .01). Participants with higher depressive symptoms (HADS) reported higher self-harm urges than those with low depressive symptoms (p < .01}. Significant interaction of prior substance use and depression (< .01) | Low |
Stephens et al. 2006 [38] | Cross-sectional | Prison | South Africa | N | Census | Yes, Yes | 357, NS, 100%* | Males; pre-release; scheduled to be released from prison within three months after receiving intervention in parent study | U *all participants have pre-release status | Questionnaire (S) | Participants who used psychoactive substances (questionnaire) before detention reported higher self-harm urges (IS-HUS) than those who did not use (p < .01). Participants with higher depressive symptoms (HADS) reported higher self-harm urges than those with low depressive symptoms (p < .01}. Significant interaction of prior substance use and depression (< .01) | Medium |
Weierstall et al. 2011 [37] | Cross-sectional | Prison | Rwanda | N | Random, NS | Yes, Yes | 269, 33, 66% | Perpetrators of the Rwandan genocide | C *82% convicted, 18% awaiting trial | PTSD Symptom Scale-Interview (PSS-I) (D), PDS Event Scale (S), Appetitive Aggression Scale (AAS) (S) | Dose–response effect via path analysis between the exposure to traumatic events and the PTSD symptom severity (p < .001). Participants who had reported that they committed more types of crimes demonstrated a higher AAS score (p < .01), and higher AAS scores predicted lower PTSD symptom severity scores (p < .05). | Low |
Odejide 1979 [134] | Cross-sectional | Forensic ward | Nigeria | N | Census | No, No | 2158, NS, 95.9% | Psychiatric referrals | U *Referrals to hospital | Court records (NA) | 32.4% of 81 individuals with murder charges were referred for psychiatric opinion. No individuals with charges in categories of crime, including three individuals with charges of attempted suicide, was sent for psychiatric examination. Absence of mental illness in 66.6% of subjects referred for psychiatric opinion | Low |
Sukeri et al. 2016 [135] | Cross-sectional | Forensic ward | South Africa | N | Census | No, No | NA | NA | NA | Questionnaire (S) | No nurses with advanced training in forensic psychiatry. Lack of sufficient human resources. The nurse/patient ratio was 1:4. For 403 patients, 1.6 psychiatrists (1 full time),1 social worker, 1 occupational therapist, 0 occupational therapist assistants. There are 22 psychologists in all correctional centers in South Africa. None of the correctional centers have an onsite psychiatric unit | Low |
Ononye and Morakinyo 1994 [39] | Cross-sectional | Youth Institution | Nigeria | Y (50 school going children, matched for sex, age, ethnicity and educational level) | Census | No, No | 50, 14.1, 86% (youth in remand home); 50, 14.1, 86% (school-going youth) | NA | NS *Remanded youth | Carlson Psychological Survey (CPS) (S) | Thought disturbance significantly higher in youth in remand home compared to school-going youth. Antisocial tendency and self-depreciation higher among youth in remand home but not significantly. Substance abuse not significantly different between groups. (all indicated by CPS) | Medium |
Large and Nielssen 2009 [41] | Cross-sectional | Health system | International | Y (LMIC and HIC countries) | Census | No, No | NA | NA | NS | Published records in the literature (NA) | Correlation between per capita psychiatric hospital beds and prisoner numbers in the 158 countries (p < 0.01) and the subgroup of 120 LAMI countries (p < 0.01). No significant correlation within the 38 HI countries | Low |
Gaum et al. 2006 [45] | Qualitative | Prison | South Africa | N | Convenience, N | No, Yes | 10, 37.6, 50% (interviews); 18, NS, 100% (in focus groups) | Recidivists; psychological services clients | C | Interviews and focus groups | Interviews reveal a shortage of medical personnel in the prison psychiatry/psychology service. Also suggested from interviews: overpopulation in prisons may be due to rapid and dramatic political and economic changes in South Africa, coupled with the belief that crime pays and that being in prison is preferable to being jobless and homeless outside | Low |
Pretorius and Bester 2009 [47] | Qualitative | Prison | South Africa | N | Purposive, N | Yes, Yes | 3, 35–42, 0% | Women convicted of homicide of their intimate partner | C | Interview | All three participants’ interviews were indicative of PTSD and substance misuse | Low |
Topp et al. 2016 [46] | Qualitative | Prison | Zambia | N | Purposive and Random, N | Yes, Yes | 79, 35.6, 100%* (detained); 32, NS, 50% (prison staff) | Detained men | C *70–100% convicted depending on facility | Interviews and focus groups | A majority of participants in prison, as well as facility-based officers reported anxiety linked to over-crowding, sanitation, infectious disease transmission, nutrition and coercion. Interviewees associated overcrowding with negative effects on both participants in prison and officers’ physical and mental health. Limited access to healthcare | Low |
Kaliski et al. 1997 [48] | Qualitative | Forensic ward | South Africa | N | Census | No, Yes | 88, 30.4, 100% | Defendants undergoing psychiatric referral | NC *Pre-trial defendants for psychiatric observation | Psychiatric record (D) | 30.7% ultimately declared mentally ill. Only 25% knew that they were to be psychiatrically examined during the 30-day period. 44.3% did not know what was to happen to them after the completion of the observation period | Low |
Dube-Mawerewere 2015 [49] | Structured health system review | Health system | Zimbabwe | N | Purposive, N | No, No | 32, NA, NA | Forensic psychiatry system stakeholders | NS | Interview | Special psychiatric institutions housed within prisons, resulting in prison-like living conditions. Lack of staff in special institutions and forensic psychiatry settings with psychiatric training. Revolving door between civil psychiatric institutions in the prison, forensic hospital, and prison | Not assessed due to study design |
Kidia, et al. 2017 [22] | Structured health system review | Health system | Zimbabwe | N | Purposive, N | No, No | 30, NA, NA | Mental health system stakeholders, excluding patients | NA | Interviews, Emerald national-level needs assessment methods | Forensic facilities were substantially under-resourced, especially shortages of psychotropic medicines and human resources. Patients lived in overcrowded holding cells with unhygienic living conditions, with high prevalence of sexual assault and HIV transmission, minimal access to psychotropic medications and psychiatric care, and little food | Not assessed due to study design |
Liddicoat et al. 1972 [136] | Tool validation | Prison | South Africa | Y (99 participants with psychopathy diagnosis and 99 without psychopathy diagnosis matched for age and IQ) | Purposive, NS | No, No | 198, NS, 100% (total participants, pooled) | Participants with and without psychopathy diagnosis | C | Questionnaire (S) | 64/150 items on the questionnaire discriminated significantly between participants with and without psychopathy diagnosis | Not assessed due to study design |
Prinsloo and Ladikos 2007 [137] | Tool validation | Prison | South Africa | Y (231 those with offense designated “high-risk” compared to 38 segregated due to history of maladjustment, disciplinary problems and other institutional infractions) | Purposive, NS | No, Yes | 269, 31.8, 100%* (total participants, pooled) | Men with offense; those designated “high-risk” | NS | SAQ (S) | The overall alpha score of the SAQ, inclusive of all the interactive subscales, is (.904) | Not assessed due to study design |
Prinsloo 2013 [138] | Tool validation | Prison | South Africa | N | NS | No, Yes | 236, 34, 100% | NA | C | Psychiatric record (D), SAQ (S) | Logistic regression model of the behavioral characteristics assessed with the Self-Appraisal Questionnaire (SAQ) shows that modeling the behavioral characteristics accounts for 61% of the variation in the dependent variable mental illness. Subscales of anger, criminal tendencies and anti-social personality have significantly higher (p < 0.05) mean scores for mentally ill respondents | Not assessed due to study design |
Bunnting et al. 1996 [139] | Tool validation | Forensic ward | South Africa | Y (50 patients designated “malingering” and 50 state patients with mental disorder or sick (State President’s Detainees) | Purposive, N | No, No | 100, NS, NS (total participants, pooled) | Psychiatric referrals and state patients | NS *Pre-trial, convicted, and referrals | Questionnaire (S) | 17/20 items on the questionnaire statistically significant based on the study sample | Not assessed due to study design |
Data analysis
Meta-analysis
Results
Search results
Study characteristics
Risk of bias
Data collection method
Participants
Ethics characteristics
Outcomes
Prevalence studies
Mental ill health | Mood disorder | Substance use | Psychotic disorders | |
---|---|---|---|---|
Pooled prevalence (95% CI) | 0.59 (0.49–0.69) | 0.22 (0.16–0.28) | 0.34 (0.24–0.44) | 0.32 (0.27–0.36) |
Heterogeneity chi2 | 2513.79 (p<0.001) | 3447.07 (p<0.001) | 1025.05 (p<0.001) | 3133.52 (p<0.001) |
I2 | 99.09% | 99.19% | 98.24% | 99.14% |
Number of studies | 24 | 29 | 19 | 28 |
Mental ill health | Mood disorder | Substance use | |
---|---|---|---|
Pooled prevalence (95% CI) | 0.61 (0.17–1.00*) | 0.24 (0.14–0.35) | 0.22 (0.08–0.36) |
Heterogeneity chi2 | 422.59 (p<0.001) | 4.93 (p=0.08) | 95.75 (p<0.001) |
I2 | 99.29% | 59.46% | 95.82% |
Number of studies | 4 | 3 | 5 |