Patient's and healthcare provider's experiences with Opioid Maintenance Treatment (OMT): a qualitative evidence synthesis.

BACKGROUND: Opioid Maintenance Treatment (OMT) is the gold standard for people with opioid dependence. However, drop-out rates are high, and many patients do not reach desired outcomes. Understanding patients' and healthcare providers' experiences with the treatment can provide valuable information to improve the quality of OMT and to increase acceptability and accessibility of services. The aim of this systematic review is to explore and synthesise the experiences of OMT among persons with opioid dependence and health care providers, to inform policy makers and practitioners on how to improve OMT outcomes. METHODS: We conducted a qualitative evidence synthesis. We systematically searched in electronic databases (CINAHL, Embase, MEDLINE, and nordic databases) and searched for grey literature. As we identified many studies that met our inclusion criteria, we purposively sampled a manageable number of studies to include in this review. Two researchers independently extracted and coded data from the included studies and used the Andersen's healthcare utilization model to organize and develop codes. We assessed the methodological limitations of the studies, and our confidence in the findings using GRADE CERQual. RESULTS: We retrieved 56 relevant studies and purposively sampled 24 qualitative studies of patients' and healthcare providers' experiences with OMT. Our analyses resulted in six main themes: (1) External stigma prevents engagement and retention in treatment, (2) Being identified as in OMT contributed to an increased experience of stigma (3) Inadequate knowledge and expertise among healthcare providers affected patients' treatment experiences, (4) Quality of communication between personnel and patients impacts patients' engagement with treatment and treatment outcomes, (5) Patients wanted help with many aspects of their lives not just medication, and (6) Balancing positive expectations of OMT with treatment stigma. We found that stigma was an overarching theme across these themes. CONCLUSION: Our findings suggest that OMT could be more beneficial for patients if treatment programs prioritize efforts to diminish societal and OMT provider stigma and find strategies to better address patient needs. Initiatives should focus on improving treatment knowledge among providers, encouraging the use of client perspectives, considering the context of family members, and establishing a more holistic and flexible treatment environment.

Chemsex Among Men Who Have Sex With Men: A Systematic Scoping Review of Research Methods.

Chemsex refers to the use of psychoactive substances with sex. We carried out a systematic scoping review of methodological characteristics of chemsex research among men who have sex with men (MSM), published between 2010 and 2020. For inclusion, chemsex had to be the main focus, and studies had to specify GHB/GBL, stimulant (amphetamine, crystal meth, ecstasy/MDMA, cathinones, cocaine) and/or ketamine use with sex as a variable. From 7055 titles/abstracts, 108 studies were included, mostly cross-sectional, and from Western countries. About one-third of studies recruited exclusively from clinical settings. A majority of these recruited from sexually transmitted infection (STI) clinics. The included quantitative studies analyzed possible associations between chemsex and STI health (40%), mental health (15%), drug health (12%), sexological health (10%), and post-diagnostic HIV health (7%). Most studies included GHB/GBL and crystal meth in their operationalization of chemsex. Definitions and operationalizations of chemsex vary greatly in the literature, and researchers of chemsex among MSM should consider ways in which this variation impacts the validity of their results. More studies are needed among MSM in non-high income and non-Western countries, and examination of possible links between chemsex and post-diagnostic HIV health, sexological health, and mental health.

Interpretation and use of a decision support tool for multiple treatment options: a combined randomised controlled trial and survey of medical students.

OBJECTIVES: To investigate medical students' ability to interpret evidence, as well as their self-assessed understandability, perceived usefulness and preferences for design alternatives in an interactive decision support tool, displaying GRADE evidence summaries for multiple treatment options (Making Alternative Treatment CHoices Intuitive and Trustworthy, MATCH-IT). DESIGN: A combined randomised controlled trial and survey. Participants were presented with a clinical scenario and randomised to one of two versions of the MATCH-IT tool (A/B), instructed to explore the evidence and decide on a recommendation. Participants answered a questionnaire assessing interpretation, treatment recommendation self-assessed understandability and perceived usefulness before exposure to the other MATCH-IT version and asked questions on design preferences. SETTING: Online lecture in an evidence-based medicine (EBM) introductory course. PARTICIPANTS: 149 third-year medical students. 52% (n=77) had 6 months of clinical training and 48% (n=72) had preclinical training only. INTERVENTIONS: The MATCH-IT tool version A uses colour coding to categorise interventions by magnitude and direction of effects and displays all outcomes in a table on entry. Version B has no colour coding, and the user must decide which outcomes to display in the table. MAIN OUTCOME MEASURES: Interpretation of evidence, treatment recommendation, perceived usefulness and understandability, preference for format and design alternatives. RESULTS: 82.5% (n=123) of medical students correctly answered ≥4 out of 5 multiple choice questions assessing interpretation of data. 75.8% (n=114) of students made a treatment recommendation in accordance with an expert panel for the same clinical scenario. 87.2% (n=130) found the tool understandable while 91.9% perceived the tool as useful in addressing the clinical scenario. CONCLUSION: Medical students with no prior training in EBM can interpret and use the MATCH-IT tool. Certain design alternatives were preferred but had no bearing on interpretation of evidence or understandability of the tool.

The effect of anti-seizure medications on lipid values in adults with epilepsy.

PURPOSE: Certain anti-seizure medications (ASMs) adversely impact lipid values. Here, we explored the impact of ASMs on lipid values in adults with epilepsy. METHODS: A total of 228 adults with epilepsy were divided into four groups based on ASMs used: strong EIASMs, weak EIASMs, non-EIASMs, and no ASMs. Demographic information, epilepsy-specific clinical history, and lipid values were obtained through chart review. RESULTS: While there was no significant difference in lipid values between groups, there was a significant difference in the proportion of participants with dyslipidemia. Specifically, more participants exhibited elevated low-density lipoprotein (LDL) level in the strong EIASM group compared to the non-EIASM group (46.7% vs 18%, p < 0.05). In addition, more participants showed elevated LDL level in the weak EIASM group compared to the non-EIASM group (38% vs 18%, p < 0.05). Users of strong EIASMs showed greater odds of high LDL level (OR 5.734, p = 0.005) and high total cholesterol level (OR 4.913, p = 0.008) compared to users of non-EIASMs. When we analyzed the impact of individual ASMs used by more than 15% of the cohort on lipid levels, participants using valproic acid (VPA) showed lower high-density lipoprotein (p = 0.002) and higher triglyceride levels (p = 0.002) compared to participants not using VPA. CONCLUSION: Our study demonstrated a difference in the proportion of participants with dyslipidemia between ASM groups. Thus, adults with epilepsy using EIASMs should have careful monitoring of lipid values to address the risk of cardiovascular disease.

The effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot study.

BACKGROUND: Machine learning (ML) tools exist that can reduce or replace human activities in repetitive or complex tasks. Yet, ML is underutilized within evidence synthesis, despite the steadily growing rate of primary study publication and the need to periodically update reviews to reflect new evidence. Underutilization may be partially explained by a paucity of evidence on how ML tools can reduce resource use and time-to-completion of reviews. METHODS: This protocol describes how we will answer two research questions using a retrospective study design: Is there a difference in resources used to produce reviews using recommended ML versus not using ML, and is there a difference in time-to-completion? We will also compare recommended ML use to non-recommended ML use that merely adds ML use to existing procedures. We will retrospectively include all reviews conducted at our institute from 1 August 2020, corresponding to the commission of the first review in our institute that used ML. CONCLUSION: The results of this study will allow us to quantitatively estimate the effect of ML adoption on resource use and time-to-completion, providing our organization and others with better information to make high-level organizational decisions about ML.

Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system.

BACKGROUND: Machine learning and automation are increasingly used to make the evidence synthesis process faster and more responsive to policymakers' needs. In systematic reviews of randomized controlled trials (RCTs), risk of bias assessment is a resource-intensive task that typically requires two trained reviewers. One function of RobotReviewer, an off-the-shelf machine learning system, is an automated risk of bias assessment. METHODS: We assessed the feasibility of adopting RobotReviewer within a national public health institute using a randomized, real-time, user-centered study. The study included 26 RCTs and six reviewers from two projects examining health and social interventions. We randomized these studies to one of two RobotReviewer platforms. We operationalized feasibility as accuracy, time use, and reviewer acceptability. We measured accuracy by the number of corrections made by human reviewers (either to automated assessments or another human reviewer's assessments). We explored acceptability through group discussions and individual email responses after presenting the quantitative results. RESULTS: Reviewers were equally likely to accept judgment by RobotReviewer as each other's judgement during the consensus process when measured dichotomously; risk ratio 1.02 (95% CI 0.92 to 1.13; p = 0.33). We were not able to compare time use. The acceptability of the program by researchers was mixed. Less experienced reviewers were generally more positive, and they saw more benefits and were able to use the tool more flexibly. Reviewers positioned human input and human-to-human interaction as superior to even a semi-automation of this process. CONCLUSION: Despite being presented with evidence of RobotReviewer's equal performance to humans, participating reviewers were not interested in modifying standard procedures to include automation. If further studies confirm equal accuracy and reduced time compared to manual practices, we suggest that the benefits of RobotReviewer may support its future implementation as one of two assessors, despite reviewer ambivalence. Future research should study barriers to adopting automated tools and how highly educated and experienced researchers can adapt to a job market that is increasingly challenged by new technologies.

Can Remote Patient Monitoring Be the New Standard in Primary Care of Chronic Diseases, Post-COVID-19?

Background: One lesson from the current COVID-19 pandemic is the need to optimize health care provision outside of traditional settings, and potentially over longer periods of time. An important strategy is remote patient monitoring (RPM), allowing patients to remain at home, while they transmit health data and receive follow-up services. Materials and Methods: We conducted an overview of the latest systematic reviews that had included randomized controlled trials with adult patients with chronic diseases. We summarized results and displayed these in forest plots, and used GRADE (Grading of Recommendations Assessment, Development, and Evaluation) to assess our certainty of the evidence. Results: We included 4 systematic reviews that together reported on 11 trials that met our definition of RPM, each including patients with diabetes and/or hypertension. RPM probably makes little to no difference on HbA1c levels. RPM probably leads to a slight reduction in systolic blood pressure, with questionable clinical meaningfulness. RPM probably has a small negative effect on the physical component of health-related quality of life, but the clinical significance of this reduction is uncertain. We have low confidence in the finding that RPM makes no difference to the remaining five primary outcomes. Conclusion: Most of our findings are consistent with reviews of other, broader definitions of RPM. The type of RPM examined in this review is as effective as standard treatment for patients with diabetes/hypertension. If this or other types of RPM are to be used for "long covid" patients or for other chronic disease groups post-pandemic, we need to understand why RPM may negatively affect quality of life.

Participant Engagement in Supported Employment: A Systematic Scoping Review.

Purpose This study aimed to synthesise the available knowledge on how participant engagement in supported employment (SE) interventions is presented, defined, and conceptualised. We also aimed to develop a working definition of participant engagement in SE based on the results of our study. Methods This systematic scoping review was conducted following the PRISMA extension for scoping reviews. The following databases were systematically searched: EBSCO, SCOPUS, Social Care Online, and JSTOR. We included peer-reviewed publications in English based on empirical studies. Results Sixteen articles met the inclusion criteria and were included in the final analysis. Thematic framework analysis resulted in three themes conveying the concept of participant engagement: self-determined choice, empowerment, and collaboration/working alliance. We suggest that participant engagement in SE is an active multifaceted process that involves the empowerment of participants, participants' exercise of self-determined informed choice, and their collaboration with SE practitioners in a working alliance. Conclusions Participant empowerment, self-determined choice, and collaboration are important aspects of participant engagement in SE. The study results will appeal to SE practitioners and make significant contributions to the broader field of other vocational services supporting people in (re-)entering the competitive labour market.

Mental health and use of health care services in opioid-exposed school-aged children compared to foster children.

Given the concerns raised regarding the effects of prenatal exposure to methadone and buprenorphine on the developmental outcomes of the children, this study assessed mental health and use of services in a national sample of school-aged children (N = 78) born to women enrolled in opioid maintenance treatment during pregnancy, compared with a group of foster children (N = 140). The majority of the opioid-exposed children lived with their birth parent(s) at the time of assessment (N = 62), while 16 lived in foster homes. Caregivers completed the Strengths and Difficulties Questionnaire (SDQ) and the Reactive Attachment Disorder scale. Teachers completed the SDQ. Three kinds of services were included in measuring service use: school-based education services, child mental health services, and hospital-based habilitation services. The main finding of the study is that children prenatally exposed to methadone or buprenorphine living with their family of origin had significantly better mental health status than their foster-placed counterparts and that of the comparison group of foster children. In addition, the exposed children living at home had less child welfare involvement, and only half of them were using any of the three services measured. The odds for using services increased significantly in accordance with increasing mental health problems, independent of group affiliation, indicating a need-based access to services. In line with other studies, we found that the odds for using one or more services was 2.3 times greater for boys than for girls. Our results contribute to a more-nuanced understanding of the developmental outcomes of prenatal exposure to methadone and buprenorphine, and factors associated with increased service use in groups of at-risk children.

Machine learning in systematic reviews: Comparing automated text clustering with Lingo3G and human researcher categorization in a rapid review.

Systematic reviews are resource-intensive. The machine learning tools being developed mostly focus on the study identification process, but tools to assist in analysis and categorization are also needed. One possibility is to use unsupervised automatic text clustering, in which each study is automatically assigned to one or more meaningful clusters. Our main aim was to assess the usefulness of an automated clustering method, Lingo3G, in categorizing studies in a simplified rapid review, then compare performance (precision and recall) of this method compared to manual categorization. We randomly assigned all 128 studies in a review to be coded by a human researcher blinded to cluster assignment (mimicking two independent researchers) or by a human researcher non-blinded to cluster assignment (mimicking one researcher checking another's work). We compared time use, precision and recall of manual categorization versus automated clustering. Automated clustering and manual categorization organized studies by population and intervention/context. Automated clustering failed to identify two manually identified categories but identified one additional category not identified by the human researcher. We estimate that automated clustering has similar precision to both blinded and non-blinded researchers (e.g., 88% vs. 89%), but higher recall (e.g., 89% vs. 84%). Manual categorization required 49% more time than automated clustering. Using a specific clustering algorithm, automated clustering can be helpful with categorization of and identifying patterns across studies in simpler systematic reviews. We found that the clustering was sensitive enough to group studies according to linguistic differences that often corresponded to the manual categories.

Nonprescribed androgen use among women and trans men.

PURPOSE OF REVIEW: To summarize the most recent evidence regarding nonprescribed androgen use among women and trans men. RECENT FINDINGS: Fourteen heterogeneous studies met inclusion criteria. Three provided lifetime prevalence estimates among particular subgroups (from 0.5 to 8%), whereas one longitudinal study found adverse childhood experiences predicted later nonprescribed androgen use. Mental health and substance problems appear to correlate with severity of use, but evidence is mixed as to whether female users had lower or equal mental health burdens compared to male users. Studies that discuss motivation highlighted the dynamic risk management that underlies decisions to continue use; benefits have to outweigh undesired effects, whereas some sexual side effects are re-framed to be positive. Finally, a theme among qualitative studies is the gendered experiences of nonprescribed androgen use, and the search for knowledge and communities created by women. SUMMARY: Prevalence, side effects, and trajectories of use appear to be different for women than men. Women users need gender-specific information, although some are able to navigate male-dominated knowledge sources and are creating a female ethnopharmacology that privileges women's experiences. Health research, including epidemiology, gravely needs a gender perspective when examining nonprescribed androgen use, and one that is inclusive of transgender people.

Using neural networks to support high-quality evidence mapping.

BACKGROUND: The Living Evidence Map Project at the Norwegian Institute of Public Health (NIPH) gives an updated overview of research results and publications. As part of NIPH's mandate to inform evidence-based infection prevention, control and treatment, a large group of experts are continously monitoring, assessing, coding and summarising new COVID-19 publications. Screening tools, coding practice and workflow are incrementally improved, but remain largely manual. RESULTS: This paper describes how deep learning methods have been employed to learn classification and coding from the steadily growing NIPH COVID-19 dashboard data, so as to aid manual classification, screening and preprocessing of the rapidly growing influx of new papers on the subject. Our main objective is to make manual screening scalable through semi-automation, while ensuring high-quality Evidence Map content. CONCLUSIONS: We report early results on classifying publication topic and type from titles and abstracts, showing that even simple neural network architectures and text representations can yield acceptable performance.

Instruments to measure fear of COVID-19: a diagnostic systematic review.

BACKGROUND: The COVID-19 pandemic has become a source of fear across the world. Measuring the level or significance of fear in different populations may help identify populations and areas in need of public health and education campaigns. We were interested in diagnostic tests developed to assess or diagnose COVID-19-related fear or phobia. METHODS: We performed a systematic review of studies that examined instruments diagnosing or assessing fear or phobia of COVID-19 (PROSPERO registration: CRD42020197100). We utilized the Norwegian Institute of Public Health's Live map of covid-19 evidence, a database of pre-screened and pre-categorized studies. The Live map of covid-19 evidence identified references published since 1 December 2019 in MEDLINE, Embase, and the Centers for Disease Control and Prevention. Following biweekly searches, two researchers independently categorized all studies according to topic (seven main topics, 52 subordinate topics), population (41 available groups), study design, and publication type. For this review, we assessed for eligibility all studies that had been categorized to the topic "Experiences and perceptions, consequences; social, political, economic aspects" as of 25 September 2020, in addition to hand-searching included studies' reference lists. We meta-analyzed correlation coefficients of fear scores to the most common reference tests (self-reports of anxiety, depression, and stress), and reported additional concurrent validity to other reference tests such as specific phobias. We assessed study quality using the QUADAS-2 for the minority of studies that presented diagnostic accuracy statistics. RESULTS: We found 18 studies that validated fear instruments. Fifteen validated the Fear of COVID-19 scale (FCV-19S). We found no studies that proposed a diagnosis of fear of COVID-19 or a threshold of significant/clinical versus non-significant/subclinical fear. Study quality was low, with the most common potential biases related to sampling strategy and un-blinded data analysis. The FSV-19S total score correlated strongly with severe phobia (r = 0.703, 95%CI 0.634-0.761) in one study, and moderately with anxiety in a meta-analysis. CONCLUSIONS: The accuracy of the FSV-19S needs to be measured further using fear-related reference instruments, and future studies need to provide cut-off scores and normative values. Further evaluation of the remaining three instruments is required.

Potential causal factors of CFS/ME: a concise and systematic scoping review of factors researched.

BACKGROUND: Chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) is understood as a complex condition, likely triggered and sustained by an interplay of biological, psychological, and social factors. Little oversight exists of the field of causal research. This systematic scoping review explores potential causal factors of CFS/ME as researched by primary studies. METHODS: We searched eight databases for primary studies that examined potential causal factors of CFS/ME. Based on title/abstract review, two researchers independently sorted each study's factors into nine main categories and 71 subordinate categories, using a system developed with input given during a 2018 ME conference, specialists and representatives from a ME patient advocacy group, and using BMJ Best Practice's description of CFS/ME etiology. We also extracted data related to study design, size, diagnostic criteria and comparison groups. RESULTS: We included 1161 primary studies published between January 1979 and June 2019. Based on title/abstract analysis, no single causal factor dominated in these studies, and studies reported a mean of 2.73 factors. The four most common factors were: immunological (297 studies), psychological (243), infections (198), and neuroendocrinal (198). The most frequent study designs were case-control studies (894 studies) comparing CFS/ME patients with healthy participants. More than half of the studies (that reported study size in the title/abstract) included 100 or fewer participants. CONCLUSION: The field of causal hypotheses of CFS/ME is diverse, and we found that the studies examined all the main categories of possible factors that we had defined a priori. Most studies were not designed to adequately explore causality, rather to establish hypotheses. We need larger studies with stronger study designs to gain better knowledge of causal factors of CFS/ME.

Large and non-specific somatic disease burdens among ageing, long-term opioid maintenance treatment patients.

OBJECTIVES: To describe and explore somatic disease burdens of ageing long-term patients in opioid maintenance treatment (OMT), a unique population emerging in countries offering OMT as a long-term treatment. METHODS: We used data from the Norwegian Cohort of Patient in Opioid Maintenance Treatment and Other Drug Treatment Study (NorComt). 156 patients enrolled for at least three of the past five years provided data during structured interviews, including on chronic conditions, somatic treatment received, mental distress (SCL-25), and treatment satisfaction. A somatic disease burden was calculated from a list measuring the recent severity of 16 somatic complaints. A hierarchical multiple linear regression analysis identified correlates of somatic disease burden. RESULTS: Over half of patients reported at least seven somatic complaints. Reported somatic disease burden was associated with higher mental distress, more chronic conditions, fewer years in OMT, and treatment dissatisfaction. Age was unrelated, and there were few gender differences. These five variables explained 43.6% of the variance in disease burden. CONCLUSION: Long-term OMT patients experience a large range of somatic complaints, and at non-acute levels. As OMT secures longevity for opioid-dependent persons, the clinical focus must be adjusted from acute to chronic care. Providers must address how to optimize health and quality of life while in treatment, as treatment may last for many years.

A flexible protocol for a systematic review of remote patient monitoring.

BACKGROUND: Norway is interested in implementing remote patient monitoring (RPM) within primary health services. This systematic review will first identify the types of RPM that are of interest to Norwegian health authorities, then synthesize the effects of RPM on clinical health and health service utilization outcomes among adults with chronic diseases. METHODS: We will perform systematic literature searches in multiple databases, using RPM-related searches, such as telemedicine, telemonitoring, and eHealth. Based on what research exists, the review will be selected from a cascading menu of review types. Methodological quality will be assessed through appropriate checklists, while the quality of the evidence will be assessed through Grading of Recommendations Assessment, Development, and Evaluation. DISCUSSION: This flexible protocol specifies the production of different possible types of reviews of RPM. It is anticipated that the results of the review will inform the development of effective RPM programs to the most appropriate chronic disease groups.

Use of anabolic-androgenic steroids and other substances prior to and during imprisonment - Results from the Norwegian Offender Mental Health and Addiction (NorMA) study.

BACKGROUND: Anabolic-androgenic steroid (AAS) use is associated with health problems and substance use. Substance use is common among inmates. This study aims to estimate lifetime and prison use of AAS and other substances, compare characteristics of groups of inmates, and describe factors associated with AAS use in a national prison population. METHODS: Data from the Norwegian Offender Mental Health and Addiction (NorMA) Study, a cross-sectional survey of people in prisons, included sociodemographic variables and lifetime and prison use of AAS and other substances. Altogether 1,499 inmates, including 96 (6.4%) women, were divided into three mutually exclusive groups according to lifetime AAS use, non-AAS substance use and no substance use. RESULTS: Lifetime AAS use was reported by 427 (28.5%) inmates; 6 women and 421 men. Non-AAS substance use was reported by 593 (39.6%) and 479 (31.9%) had never used AAS or non-AAS substances. Compared to the non-AAS substance group, the AAS group reported younger debut ages for nearly all non-AAS substances, higher mean number of non-AAS substances used in their lifetime (8.9, 6.6, p < 0.001), during the six months prior to incarceration (5.2, 3.1, p < 0.001), and during (2.3, 1.3, p < 0.001) imprisonment. Although 120 (8.0%) inmates used AAS during the six months prior to incarceration, only ten continued during imprisonment. CONCLUSIONS: Lifetime AAS use is common among inmates and may be an indicator of more severe substance use problems. Screening for previous and present AAS use at incarceration and increased staff awareness are needed to tailor treatment approaches appropriately.

The mental health impact of the covid-19 pandemic on healthcare workers, and interventions to help them: A rapid systematic review.

The covid-19 pandemic has heavily burdened healthcare systems throughout the world. We performed a rapid systematic review to identify, assess and summarize research on the mental health impact of the covid-19 pandemic on HCWs (healthcare workers). We utilized the Norwegian Institute of Public Health's Live map of covid-19 evidence on 11 May and included 59 studies. Six reported on implementing interventions, but none reported on effects of the interventions. HCWs reported low interest in professional help, and greater reliance on social support and contact. Exposure to covid-19 was the most commonly reported correlate of mental health problems, followed by female gender, and worry about infection or about infecting others. Social support correlated with less mental health problems. HCWs reported anxiety, depression, sleep problems, and distress during the covid-19 pandemic. We assessed the certainty of the estimates of prevalence of these symptoms as very low using GRADE. Most studies did not report comparative data on mental health symptoms before the pandemic or in the general population. There seems to be a mismatch between risk factors for adverse mental health outcomes among HCWs in the current pandemic, their needs and preferences, and the individual psychopathology focus of current interventions.