scholarly journals A systematic review of post-release programs for women exiting prison with substance-use disorders: assessing current programs and weighing the evidence

2022 ◽  
Vol 10 (1) ◽  
Author(s):  
Layla Edwards ◽  
Sacha Kendall Jamieson ◽  
Julia Bowman ◽  
Sungwon Chang ◽  
Josie Newton ◽  
...  

Abstract Background The rising rates of women in prison is a serious public health issue. Unlike men, women in prison are characterised by significant histories of trauma, poor mental health, and high rates of substance use disorders (SUDs). Recidivism rates of women have also increased exponentially in the last decade, with substance related offences being the most imprisoned offence worldwide. There is a lack of evidence of the effectiveness of post-release programs for women. The aim of this systematic review is to synthesise and evaluate the evidence on post-release programs for women exiting prison with SUDs. Methods We searched eight scientific databases for empirical original research published in English with no date limitation. Studies with an objective to reduce recidivism for adult women (⩾18 years) with a SUD were included. Study quality was assessed using the revised Cochrane Risk of Bias tool for randomized trials (RoB2) and the Risk of Bias in Non-randomized Studies - of Interventions (ROBINS-I) tools. Results Of the 1493 articles, twelve (n = 3799 women) met the inclusion criteria. Recidivism was significantly reduced in five (42%) programs and substance-use was significantly reduced in one (8.3%) program. Common attributes among programs that reduced recidivism were: transitional, gender-responsive programs; provision of individualised support; providing substance-related therapy, mental health and trauma treatment services. Methodological and reporting biases were common, which impacted our ability to synthesize results further. Recidivism was inconsistently measured across studies further impacting the ability to compare results across studies. Conclusions Recidivism is a problematic measure of program efficacy because it is inconsistently measured and deficit-focused, unrecognising of women’s gains in the post-release period despite lack of tailored programs and significant health and social disadvantages. The current evidence suggests that women benefit from continuity of care from prison to the community, which incorporated gender-responsive programming and individualised case management that targeted co-morbid mental health and SUDs. Future program design should incorporate these attributes of successful programs identified in this review to better address the unique challenges that women with SUDs face when they transition back into the community.

2020 ◽  
Author(s):  
Cheryl L Currie ◽  
Richard Larouche ◽  
M. L. Voss ◽  
Erin K. Higa ◽  
Rae Spiwak ◽  
...  

Abstract Background: COVID-19 has resulted in an increased demand for online mental health services globally. There is emerging evidence for the efficacy for group online interventions that support population-based mental health, but a systematic review is lacking. The primary objective of this rapid systematic review is to summarize the evidence for online group counselling programs for adults. A second objective is to assess, within studies selected for our primary objective, the impact of online group counselling programs that encourage PA on outcomes compared to those that do not.Methods and Design: Randomized controlled trials that assess the impact of online group counselling programs on substance use, mental health, or physical health among community dwelling adults will be searched in MEDLINE, PsycInfo, CINHAL, and the Central Register of Controlled Trials. The review will be structured using PRISMA guidelines. Studies will be synthesized using the Cochrane Handbook and Synthesis Without Meta-Analysis (SWiM) reporting guideline. Quality will be evaluated using GRADE. Risk of bias will be assessed using the Cochrane Risk of Bias tool; with higher quality studies prioritized when drawing conclusions. The role of sex and gender will be considered as well as possible gender biases at all stages of the review.Discussion: This review will examine the effectiveness of online counselling programs that can be delivered to populations in a group format, and thus in a potentially cost-effective way. Findings will inform the decisions of governments, communities, and health care organizations responding to the COVID-19 pandemic in Canada. Systematic review registration: The protocol has been registered at the International Prospective Register of Systematic Reviews (PROSPERO: CRD42020187551).


10.2196/12493 ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. e12493 ◽  
Author(s):  
Jackson M Steinkamp ◽  
Nathaniel Goldblatt ◽  
Jacob T Borodovsky ◽  
Amy LaVertu ◽  
Ian M Kronish ◽  
...  

Background Medication adherence is critical to the effectiveness of psychopharmacologic therapy. Psychiatric disorders present special adherence considerations, notably an altered capacity for decision making and the increased street value of controlled substances. A wide range of interventions designed to improve adherence in mental health and substance use disorders have been studied; recently, many have incorporated information technology (eg, mobile phone apps, electronic pill dispensers, and telehealth). Many intervention components have been studied across different disorders. Furthermore, many interventions incorporate multiple components, making it difficult to evaluate the effect of individual components in isolation. Objective The aim of this study was to conduct a systematic scoping review to develop a literature-driven, transdiagnostic taxonomic framework of technology-based medication adherence intervention and measurement components used in mental health and substance use disorders. Methods This review was conducted based on a published protocol (PROSPERO: CRD42018067902) in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses systematic review guidelines. We searched 7 electronic databases: MEDLINE, EMBASE, PsycINFO, the Cochrane Central Register of Controlled Trials, Web of Science, Engineering Village, and ClinicalTrials.gov from January 2000 to September 2018. Overall, 2 reviewers independently conducted title and abstract screens, full-text screens, and data extraction. We included all studies that evaluate populations or individuals with a mental health or substance use disorder and contain at least 1 technology-delivered component (eg, website, mobile phone app, biosensor, or algorithm) designed to improve medication adherence or the measurement thereof. Given the wide variety of studied interventions, populations, and outcomes, we did not conduct a risk of bias assessment or quantitative meta-analysis. We developed a taxonomic framework for intervention classification and applied it to multicomponent interventions across mental health disorders. Results The initial search identified 21,749 results; after screening, 127 included studies remained (Cohen kappa: 0.8, 95% CI 0.72-0.87). Major intervention component categories include reminders, support messages, social support engagement, care team contact capabilities, data feedback, psychoeducation, adherence-based psychotherapy, remote care delivery, secure medication storage, and contingency management. Adherence measurement components include self-reports, remote direct visualization, fully automated computer vision algorithms, biosensors, smart pill bottles, ingestible sensors, pill counts, and utilization measures. Intervention modalities include short messaging service, mobile phone apps, websites, and interactive voice response. We provide graphical representations of intervention component categories and an element-wise breakdown of multicomponent interventions. Conclusions Many technology-based medication adherence and monitoring interventions have been studied across psychiatric disease contexts. Interventions that are useful in one psychiatric disorder may be useful in other disorders, and further research is necessary to elucidate the specific effects of individual intervention components. Our framework is directly developed from the substance use disorder and mental health treatment literature and allows for transdiagnostic comparisons and an organized conceptual mapping of interventions.


Author(s):  
Bhargav Hemant ◽  
Rashmi Arasappa ◽  
Inbaraj G. ◽  
Kaviraja Udupa ◽  
Shivarama Varambally

This chapter is divided into four subsections: the first section of the chapter provides an update on current evidence for yoga therapy in common mental health disorders, the second section provides brief overview on neurophysiological abnormalities in psychiatric disorders and their relationship with psychological stress, the third section deals with summary of evidence for neurophysiological effects of yoga in mental health disorders, and the last section emphasizes on practical aspects of yoga therapy with details of clinically useful yoga practices for common mental health disorders. The mental health disorders covered in this chapter include depression, anxiety, schizophrenia, child and adolescent psychiatric disorders, substance use disorders, and geriatric psychiatric disorders.


2019 ◽  
Vol 13 (6) ◽  
pp. 268-283
Author(s):  
Nina C. Cooper ◽  
Deepa Balachandran Nair ◽  
Sile Egan ◽  
Andrew Barrie ◽  
Bhathika Perera

Purpose Intellectual disability (ID) is prevalent in 1 per cent of the population. Premenstrual syndrome (PMS) affects up to 5 per cent of the general population of adult women. Identification of PMS is challenging in women with ID due to differences in communication. Management of PMS in the ID population requires careful consideration of baseline function, co-existing mental and physical health problems, drug interactions as well as complex ethical considerations. The paper aims to discuss this issue. Design/methodology/approach Prospero-registered systematic review (CRD42019119398) of papers exploring the diagnosis and management of patients with PMS and ID (n=414). In total, 35 relevant titles were identified and 27 full text papers were assessed for eligibility, resulting in 10 studies for final qualitative analysis. Findings Ten original research papers were included. There are no standardised symptom criteria for diagnosis of PMS in women with ID. Studies relied on observer-reported data. All papers demonstrated higher rates of PMS in women with ID compared with the general adult population. Management was not standardised and varied between centres. Mainstays of treatment included non-steroidal anti-inflammatories, combined oral contraceptive pills and intramuscular progesterone. Newer evidence suggests levonorgestrel intrauterine systems may be appropriate. There was no quantitative method of establishing success of management. Practical implications A modified symptom diary should be used for diagnosis in this population. Differentiation between cyclical behavioural change due to pain vs mood disturbance remains challenging. Conservative, psychological and medical management should be the mainstay of treatment, with surgery considered in exceptional cases. Originality/value This paper demonstrates the current limited evidence for the management of PMS in women with a diagnosis of ID and offers an overview of the current options for managing these patients’ symptoms.


Author(s):  
Jackson M Steinkamp ◽  
Nathaniel Goldblatt ◽  
Jacob T Borodovsky ◽  
Amy LaVertu ◽  
Ian M Kronish ◽  
...  

BACKGROUND Medication adherence is critical to the effectiveness of psychopharmacologic therapy. Psychiatric disorders present special adherence considerations, notably an altered capacity for decision making and the increased street value of controlled substances. A wide range of interventions designed to improve adherence in mental health and substance use disorders have been studied; recently, many have incorporated information technology (eg, mobile phone apps, electronic pill dispensers, and telehealth). Many intervention components have been studied across different disorders. Furthermore, many interventions incorporate multiple components, making it difficult to evaluate the effect of individual components in isolation. OBJECTIVE The aim of this study was to conduct a systematic scoping review to develop a literature-driven, transdiagnostic taxonomic framework of technology-based medication adherence intervention and measurement components used in mental health and substance use disorders. METHODS This review was conducted based on a published protocol (PROSPERO: CRD42018067902) in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses systematic review guidelines. We searched 7 electronic databases: MEDLINE, EMBASE, PsycINFO, the Cochrane Central Register of Controlled Trials, Web of Science, Engineering Village, and ClinicalTrials.gov from January 2000 to September 2018. Overall, 2 reviewers independently conducted title and abstract screens, full-text screens, and data extraction. We included all studies that evaluate populations or individuals with a mental health or substance use disorder and contain at least 1 technology-delivered component (eg, website, mobile phone app, biosensor, or algorithm) designed to improve medication adherence or the measurement thereof. Given the wide variety of studied interventions, populations, and outcomes, we did not conduct a risk of bias assessment or quantitative meta-analysis. We developed a taxonomic framework for intervention classification and applied it to multicomponent interventions across mental health disorders. RESULTS The initial search identified 21,749 results; after screening, 127 included studies remained (Cohen kappa: 0.8, 95% CI 0.72-0.87). Major intervention component categories include reminders, support messages, social support engagement, care team contact capabilities, data feedback, psychoeducation, adherence-based psychotherapy, remote care delivery, secure medication storage, and contingency management. Adherence measurement components include self-reports, remote direct visualization, fully automated computer vision algorithms, biosensors, smart pill bottles, ingestible sensors, pill counts, and utilization measures. Intervention modalities include short messaging service, mobile phone apps, websites, and interactive voice response. We provide graphical representations of intervention component categories and an element-wise breakdown of multicomponent interventions. CONCLUSIONS Many technology-based medication adherence and monitoring interventions have been studied across psychiatric disease contexts. Interventions that are useful in one psychiatric disorder may be useful in other disorders, and further research is necessary to elucidate the specific effects of individual intervention components. Our framework is directly developed from the substance use disorder and mental health treatment literature and allows for transdiagnostic comparisons and an organized conceptual mapping of interventions.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Miss Samantha Lynch ◽  
Matthew Sunderland ◽  
Nicola C Newton ◽  
Cath Chapman

Abstract Focus of Presentation Mental health and substance use disorders are among the leading causes of burden of disease worldwide. These disorders often emerge during adolescence, with risk of onset peaking between the ages 13 and 24. Despite decades of research, the underlying causes of mental health disorders remain unclear. This in part may be due to limitations of existing, categorical diagnostic systems, such as low specificity demonstrated by the high rates of co-occurring mental health disorders. A growing body of research supports a move towards dimensional, empirically derived models of psychopathology, such as the Hierarchical Taxonomy of Psychopathology (Hi-TOP) model. The present systematic review seeks to identify risk and protective factors for psychopathology in young people that occur across traditional diagnostic categories by synthesising and evaluating findings from research investigating empirically based models of psychopathology. Findings Findings will be summarised in a narrative synthesis and grouped by broad research domain, such as genetic, neurobiological, cognitive social and environmental. Conclusions/Implications The implications of these findings for the development of prevention and early intervention programs will be discussed. Key messages Empirically based models of psychopathology provide a vital opportunity to advance our knowledge of the risk and protective factors for mental health and substance use disorders, and in turn lead to the development or enhancement of prevention programs.


Author(s):  
Katherine Y. Ko ◽  
Nicole Ridley ◽  
Shayden D. Bryce ◽  
Kelly Allott ◽  
Angela Smith ◽  
...  

ABSTRACT Objectives: Cognitive impairment is common in individuals with substance use disorders (SUDs), yet no evidence-based guidelines exist regarding the most appropriate screening measure for use in this population. This systematic review aimed to (1) describe different cognitive screening measures used in adults with SUDs, (2) identify substance use populations and contexts these tools are utilised in, (3) review diagnostic accuracy of these screening measures versus an accepted objective reference standard, and (4) evaluate methodology of included studies for risk of bias. Methods: Online databases (PsycINFO, MEDLINE, Embase, and CINAHL) were searched for relevant studies according to pre-determined criteria, and risk of bias and applicability was assessed using the Quality Assessment of Diagnostic Accuracy Studies–2 (QUADAS–2). At each review phase, dual screening, extraction, and quality ratings were performed. Results: Fourteen studies met inclusion, identifying 10 unique cognitive screening tools. The Montreal Cognitive Assessment (MoCA) was the most common, and two novel screening tools (Brief Evaluation of Alcohol-Related Neuropsychological Impairments [BEARNI] and Brief Executive Function Assessment Tool [BEAT]) were specifically developed for use within SUD populations. Twelve studies reported on classification accuracy and relevant psychometric parameters (e.g., sensitivity and specificity). While several tools yielded acceptable to outstanding classification accuracy, there was poor adherence to the Standards for Reporting Diagnostic Accuracy Studies (STARD) across all studies, with high or unclear risk of methodological bias. Conclusions: While some screening tools exhibit promise for use within SUD populations, further evaluation with stronger methodological design and reporting is required. Clinical recommendations and future directions for research are discussed.


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