Mental health and probation: A systematic review of the literature.
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ABSTRACT:
SUBMITTER: Brooker C
PROVIDER: S-EPMC7612333 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
Publications
Mental health and probation: A systematic review of the literature.
Brooker Charlie C Sirdifield Coral C Marples Rebecca R
Forensic science international. Mind and law 20200101
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Project description:A narrative systematic review was undertaken of the literature concerning the health of people on probation. In this paper, we provide an up-to-date summary of what is known about suicide and suicidal ideation and probation. This includes estimates of prevalence and possible predictors of suicide and suicidal ideation. Searches were conducted on nine databases from January 2000 to May 2017, key journals from 2000 to September 2017, and the grey literature. A total of 5125 papers were identified in the initial electronic searches but after careful double-blind review only one research paper related to this topic met our criteria, although a further 12 background papers were identified which are reported. We conclude that people on probation are a very high risk group for completed suicide, and factors associated with this include drug overdose, mental health problems, and poor physical health. There is a clear need for high quality partnership working between probation and mental health services, and investment in services, to support appropriate responses to suicide risk.
| S-EPMC7612302 | biostudies-literature
Project description:ImportanceProbation is a cornerstone of efforts to reduce mass incarceration. Although it is understudied, specialty probation could improve outcomes for the overrepresented group of people with mental illness.ObjectiveTo test whether specialty probation yields better public safety outcomes than traditional probation.Design, setting, and participantsA longitudinal observational study with group matching on age, sex, race/ethnicity, probation time, and offense at 2 urban agencies that exemplify specialty and traditional probation. Enrollment began October 19, 2005; follow-up data were complete January 26, 2013. Participants were 359 diverse probationers with serious mental health problems and functional impairment. Probationers and officers were assessed 3 times (for probationers, 6-month retention, 315 of 359 [88%]; 12-month retention 304 of 359 [85%]) and follow-up records were obtained. Machine learning algorithms were combined with a targeted maximum likelihood estimation, a double robust estimator that accounts for associations between confounders and both treatment assignment and outcomes. Statistical analysis was conducted from January 1, 2016 to May 5, 2017.InterventionsSpecialty probationers were assigned to small, homogeneous caseloads supervised by experts. Prior data indicate that specialty officers had better relationships with probationers, participated more in probationers' treatment, and relied more on positive compliance strategies than traditional officers.Main outcomes and measuresViolence during 1 year, determined by probationer report, officer report, and records, and rearrest during a period of 2 to 5 years, according to Federal Bureau of Investigation records.ResultsParticipants were 183 specialty (73.8% of 248 eligible) and 176 traditional (56.6% of 311 eligible) probationers (205 men and 154 women; mean [SD] age, 36.9 [10.6]). Although specialty probation had no significant effect on violence (odds ratio, 0.97; 95% CI, 0.69-1.36), the odds of rearrest were 2.68 times higher for traditional probationers than for specialty probationers (95% CI, 1.86-3.84; P < .001). At 2 years, estimated probabilities of rearrest were 28.6% for specialty probationers and 51.8% for traditional probationers. Survival analyses indicate that arrest effects endured up to 5 years.Conclusions and relevanceAlthough it did not specifically reduce violence, well-implemented specialty probation appears to be effective in reducing general recidivism. Reform efforts for people with mental illness could leverage probation-a ubiquitous and revitalized node of the justice system.
| S-EPMC5710232 | biostudies-literature
Project description:BackgroundMental health is a complex condition, highly related to emotion. The COVID-19 pandemic caused a significant spike in depression (from isolation) and anxiety (event related). Mobile Health (mHealth) and telemedicine offer solutions to augment patient care, provide education, improve symptoms of depression, and assuage fears and anxiety.ObjectiveThis review aims to assess the effectiveness of mHealth to provide mental health care by analyzing articles published in the last year in peer-reviewed, academic journals using strong methodology (randomized controlled trial).MethodsWe queried 4 databases (PubMed, CINAHL [Cumulative Index to Nursing and Allied Health Literature], Web of Science, and ScienceDirect) using a standard Boolean search string. We conducted this systematic literature review in accordance with the Kruse protocol and reported it in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) 2020 checklist (n=33).ResultsA total of 4 interventions (mostly mHealth) from 14 countries identified improvements in primary outcomes of depression and anxiety as well as in several secondary outcomes, namely, quality of life, mental well-being, cognitive flexibility, distress, sleep, self-efficacy, anger, decision conflict, decision regret, digestive disturbance, pain, and medication adherence.ConclusionsmHealth interventions can provide education, treatment augmentation, and serve as the primary modality in mental health care. The mHealth modality should be carefully considered when evaluating modes of care.Trial registrationPROSPERO International Prospective Register of Systematic Reviews CRD42022343489; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=343489.
| S-EPMC9832355 | biostudies-literature
Project description:There is a need to improve a) identification and monitoring of people with mental illness on probation and b) understanding of the impact of interventions on mental health outcomes for the probation population. If data were routinely collected using validated screening tools and shared between agencies, this could inform practice and commissioning decisions, and ultimately it could improve health outcomes for people under supervision. The literature was reviewed to identify brief screening tools and outcome measures that have been used in prevalence and outcome studies conducted with adults on probation in Europe. This paper shares findings from the UK-based studies in which 20 brief screening tools and measures were identified. Recommendations are made based on this literature regarding suitable tools for use in probation to routinely identify a need for contact with mental health and/or substance misuse services and to measure change in mental health outcomes.
| S-EPMC7614176 | biostudies-literature
Project description:AimDespite significant advances in morbidity and mortality outcomes, quality of life for people with haemophilia (PWH) remains compromised. Underrecognized and undertreated mental health disorders decrease quality of life; however, reports are inconsistent regarding the true prevalence of mental health disorders in PWH.MethodsWe conducted a systematic literature search of Ovid MEDLINE, EMBASE, Psychinfo and the Cochrane Library, and hand searched the journal Haemophilia to identify records and subsequently conducted a meta-analysis to determine the prevalence of depression, anxiety and attention deficit hyperactivity disorder (ADHD) in patients with congenital haemophilia.ResultsOur search strategy identified 2315 records, and 28 studies met eligibility criteria. Meta-analysis demonstrated that PWH are at increased risk of depression (odds ratio (OR) 2.45; 95% confidence interval (CI) 1.64-3.68), anxiety (OR 1.74, 95% CI 1.01-3.00), anxiety/depression (OR 2.60, 95% CI 2.35-2.87) and ADHD (OR 3.48, 95% CI 1.74-6.96). We found considerable heterogeneity among the studies likely due to differences in assessment tools, populations studied and year of publication. This suggests that standardized tools to diagnose mental health disorders in PWH are needed. Additionally, high-quality studies investigating mental health disorders in PWH are necessary to adequately document the prevalence of these disorders.ConclusionOverall, our meta-analysis suggests that the prevalence of depression, anxiety and ADHD across decades is significantly increased in PWH compared to the general population.
| S-EPMC8475067 | biostudies-literature
Project description:BackgroundConnected mental health, which refers to the use of technology for mental health care and technology-based therapeutic solutions, has become an established field of research. Biofeedback is one of the approaches used in connected mental health solutions, which is mainly based on the analysis of physiological indicators for the assessment and management of the psychological state. Biofeedback is recommended by many therapists and has been used for conditions including depression, insomnia, and anxiety. Anxiety is associated with several physiological symptoms, including muscle tension and breathing issues, which makes the inclusion of biofeedback useful for anxiety detection and management.ObjectiveThe aim of this study was to identify interventions using biofeedback as a part of their process for anxiety management and investigate their perceived effectiveness.MethodsA systematic literature review of publications presenting empirically evaluated biofeedback-based interventions for anxiety was conducted. The systematic literature review was based on publications retrieved from IEEE Digital Library, PubMed, ScienceDirect, and Scopus. A preliminary selection of papers was identified, examined, and filtered to include only relevant publications. Studies in the final selection were classified and analyzed to extract the modalities of use of biofeedback in the identified interventions, the types of physiological data that were collected and analyzed and the sensors used to collect them. Processes and outcomes of the empirical evaluations were also extracted.ResultsAfter final selection, 13 publications presenting different interventions were investigated. The interventions addressed either primarily anxiety disorders or anxiety associated with health issues such as migraine, Parkinson disease, and rheumatology. Solutions combined biofeedback with other techniques including virtual reality, music therapy, games, and relaxation practices and used different sensors including cardiovascular belts, wrist sensors, or stretch sensors to collect physiological data such as heart rate, respiration indicators, and movement information. The interventions targeted different cohorts including children, students, and patients. Overall, outcomes from the empirical evaluations yielded positive results and emphasized the effectiveness of connected mental health solutions using biofeedback for anxiety; however, certain unfavorable outcomes, such as interventions not having an effect on anxiety and patients' preferring traditional therapy, were reported in studies addressing patients with specific physical health issues.ConclusionsThe use of biofeedback in connected mental health interventions for the treatment and management of anxiety allows better screening and understanding of both psychological and physiological patient information, as well as of the association between the two. The inclusion of biofeedback could improve the outcome of interventions and boost their effectiveness; however, when used with patients suffering from certain physical health issues, suitability investigations are needed.
| S-EPMC8103295 | biostudies-literature
Project description:IntroductionThis study aims to investigate the potential of machine learning in predicting mental health conditions among college students by analyzing existing literature on mental health diagnoses using various machine learning algorithms.MethodsThe research employed a systematic literature review methodology to investigate the application of deep learning techniques in predicting mental health diagnoses among students from 2011 to 2024. The search strategy involved key terms, such as "deep learning," "mental health," and related terms, conducted on reputable repositories like IEEE, Xplore, ScienceDirect, SpringerLink, PLOS, and Elsevier. Papers published between January, 2011, and May, 2024, specifically focusing on deep learning models for mental health diagnoses, were considered. The selection process adhered to PRISMA guidelines and resulted in 30 relevant studies.ResultsThe study highlights Convolutional Neural Networks (CNN), Random Forest (RF), Support Vector Machine (SVM), Deep Neural Networks, and Extreme Learning Machine (ELM) as prominent models for predicting mental health conditions. Among these, CNN demonstrated exceptional accuracy compared to other models in diagnosing bipolar disorder. However, challenges persist, including the need for more extensive and diverse datasets, consideration of heterogeneity in mental health condition, and inclusion of longitudinal data to capture temporal dynamics.ConclusionThis study offers valuable insights into the potential and challenges of machine learning in predicting mental health conditions among college students. While deep learning models like CNN show promise, addressing data limitations and incorporating temporal dynamics are crucial for further advancements.
| S-EPMC11443461 | biostudies-literature
Project description:BackgroundCountries in recession experience high unemployment rates and a decline in living conditions, which, it has been suggested, negatively influences their populations' health. The present review examines the recent evidence of the possible association between economic recessions and mental health outcomes.MethodsLiterature review of records identified through Medline, PsycINFO, SciELO, and EBSCO Host. Only original research papers, published between 2004 and 2014, peer-reviewed, non-qualitative research, and reporting on associations between economic factors and proxies of mental health were considered.ResultsOne-hundred-one papers met the inclusion criteria. The evidence was consistent that economic recessions and mediators such as unemployment, income decline, and unmanageable debts are significantly associated with poor mental wellbeing, increased rates of common mental disorders, substance-related disorders, and suicidal behaviours.ConclusionOn the basis of a thorough analysis of the selected investigations, we conclude that periods of economic recession are possibly associated with a higher prevalence of mental health problems, including common mental disorders, substance disorders, and ultimately suicidal behaviour. Most of the research is based on cross-sectional studies, which seriously limits causality inferences. Conclusions are summarised, taking into account international policy recommendations concerning the cost-effective measures that can possibly reduce the occurrence of negative mental health outcomes in populations during periods of economic recession.
| S-EPMC4741013 | biostudies-literature
Project description:It is unclear whether the literature on adolescent gender dysphoria (GD) provides sufficient evidence to inform clinical decision making adequately. In the second of a series of three papers, we sought to review published evidence systematically regarding the extent and nature of mental health problems recorded in adolescents presenting for clinical intervention for GD. Having searched PROSPERO and the Cochrane library for existing systematic reviews (and finding none), we searched Ovid Medline 1946 -October week 4 2020, Embase 1947-present (updated daily), CINAHL 1983-2020, and PsycInfo 1914-2020. The final search was carried out on the 2nd November 2020 using a core strategy including search terms for 'adolescence' and 'gender dysphoria' which was adapted according to the structure of each database. Papers were excluded if they did not clearly report on clinically-likely gender dysphoria, if they were focused on adult populations, if they did not include original data (epidemiological, clinical, or survey) on adolescents (aged at least 12 and under 18 years), or if they were not peer-reviewed journal publications. From 6202 potentially relevant articles (post deduplication), 32 papers from 11 countries representing between 3000 and 4000 participants were included in our final sample. Most studies were observational cohort studies, usually using retrospective record review (21). A few compared cohorts to normative or population datasets; most (27) were published in the past 5 years. There was significant overlap of study samples (accounted for in our quantitative synthesis). All papers were rated by two reviewers using the Crowe Critical Appraisal Tool v1·4 (CCAT). The CCAT quality ratings ranged from 45% to 96%, with a mean of 81%. More than a third of the included studies emerged from two treatment centres: there was considerable sample overlap and it is unclear how representative these are of the adolescent GD community more broadly. Adolescents presenting for GD intervention experience a high rate of mental health problems, but study findings were diverse. Researchers and clinicians need to work together to improve the quality of assessment and research, not least in making studies more inclusive and ensuring long-term follow-up regardless of treatment uptake. Whole population studies using administrative datasets reporting on GD / gender non-conformity may be necessary, along with inter-disciplinary research evaluating the lived experience of adolescents with GD.
| S-EPMC10021389 | biostudies-literature
Project description:Background: Many children and young people (CYP) presenting with mental health crises are admitted to hospital due to concerns around illness severity and risk. Whilst inpatient admissions have an important role for such children, there are a number of burdens associated with them, and safe avoidance of admissions is favourable. We systematically reviewed the literature for studies of interventions reported as alternatives to a hospital admission in CYP presenting with mental health crises, in any inpatient setting. Methods: Three databases (PsychInfo, PubMed and Web of Science) were searched for peer-reviewed papers in October 2020, with an updated search in May 2021. Results: We identified 19 papers of interventions delivered in the emergency department, the home, outside of home but outside of clinics and in hospital clinics. The quality of most included studies was low, with less than half being randomised controlled trials and only half of these at low risk of bias. The best quality studies and greatest evidence for efficacy came from in-home interventions, in particular multisystemic therapy, which improved psychological outcomes, and though a large number of CYP still ended up being admitted, there appeared to be decreased length of stay. Conclusions: Overall, we could not recommend a particular intervention as an alternative to inpatient admission; however, our review describes benefits across a range of types of interventions that might be considered in multi-modal treatments. We also provide recommendations for future research, in particular the evaluation of new interventions as they emerge.
| S-EPMC8811329 | biostudies-literature