A systematic review of recommended modifications of CBT for people with cognitive impairments following brain injury

Due to diverse cognitive, emotional and interpersonal changes that can follow brain injury, psychological therapies often need to be adapted to suit the complex needs of this population. The aims of the study were to synthesise published recommendations for therapy modifications following brain injury from non-progressive traumatic, vascular, or metabolic causes and to determine how often such modifications have been applied to cognitive behavioural therapy (CBT) for post-injury emotional adjustment problems. A systematic review and narrative synthesis of therapy modifications recommended in review articles and reported in intervention studies was undertaken. Database and manual searches identified 688 unique papers of which eight review articles and 16 intervention studies met inclusion criteria. The review articles were thematically analysed and a checklist of commonly recommended modifications composed. The checklist items clustered under themes of: therapeutic education and formulation; attention; communication; memory; and executive functioning. When this checklist was applied to the intervention studies, memory aids and an emphasis on socialising patients to the CBT model were most frequently reported as adaptations. It was concluded that the inconsistent reporting of psychological therapy adaptations for people with brain injury is a barrier to developing effective and replicable therapies. We present a comprehensive account of potential modifications that should be used to guide future research and practice

Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review

Background: The public health impact of health and well-being digital interventions is dependent upon sufficient real-world uptake and engagement. Uptake is currently largely dependent on popularity indicators (eg, ranking and user ratings on app stores), which may not correspond with effectiveness, and rapid disengagement is common. Therefore, there is an urgent need to identify factors that influence uptake and engagement with health and well-being apps to inform new approaches that promote the effective use of such tools. Objective: This review aimed to understand what is known about influences on the uptake of and engagement with health and well-being smartphone apps among adults. Methods: We conducted a systematic review of quantitative, qualitative, and mixed methods studies. Studies conducted on adults were included if they focused on health and well-being smartphone apps reporting on uptake and engagement behavior. Studies identified through a systematic search in Medical Literature Analysis and Retrieval System Online, or MEDLARS Online (MEDLINE), EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsychINFO, Scopus, Cochrane library databases, DataBase systems and Logic Programming (DBLP), and Association for Computing Machinery (ACM) Digital library were screened, with a proportion screened independently by 2 authors. Data synthesis and interpretation were undertaken using a deductive iterative process. External validity checking was undertaken by an independent researcher. A narrative synthesis of the findings was structured around the components of the capability, opportunity, motivation, behavior change model and the theoretical domains framework (TDF). Results: Of the 7640 identified studies, 41 were included in the review. Factors related to uptake (U), engagement (E), or both (B) were identified. Under capability, the main factors identified were app literacy skills (B), app awareness (U), available user guidance (B), health information (E), statistical information on progress (E), well-designed reminders (E), features to reduce cognitive load (E), and self-monitoring features (E). Availability at low cost (U), positive tone, and personalization (E) were identified as physical opportunity factors, whereas recommendations for health and well-being apps (U), embedded health professional support (E), and social networking (E) possibilities were social opportunity factors. Finally, the motivation factors included positive feedback (E), available rewards (E), goal setting (E), and the perceived utility of the app (E). Conclusions: Across a wide range of populations and behaviors, 26 factors relating to capability, opportunity, and motivation appear to influence the uptake of and engagement with health and well-being smartphone apps. Our recommendations may help app developers, health app portal developers, and policy makers in the optimization of health and well-being apps

The effectiveness of Atraumatic Restorative Treatment versus conventional restorative treatment for permanent molars and premolars A critical assessment of existing systematic reviews and report of a new systematic review

Available for download at: http://mahara.qmul.ac.uk/view/view.php?id=16447Available for download at: http://mahara.qmul.ac.uk/view/view.php?id=16447Available for download at: http://mahara.qmul.ac.uk/view/view.php?id=16447Available for download at: http://mahara.qmul.ac.uk/view/view.php?id=16447Available for download at: http://mahara.qmul.ac.uk/view/view.php?id=16447Available for download at: http://mahara.qmul.ac.uk/view/view.php?id=16447Available for download at: http://mahara.qmul.ac.uk/view/view.php?id=16447Background: Atraumatic Restorative Treatment (ART) is the removal of caries using hand instruments and restoration of the resulting cavity using an adhesive restorative material. It was designed to restore teeth in communities without access to conventional dental clinics in poorer countries but has come to be used by dentists in the developed world too, as an alternative to conventional restorative treatment. Objectives: 1) to assess the scope and the methodological and reporting quality of existing systematic reviews of the effectiveness of ART compared to conventional restorative treatment; 2) to evaluate the effectiveness of ART compared to conventional treatment in permanent teeth with class I and II cavities. Methods: Searches: 1) for the assessment of existing systematic reviews: Electronic searches were conducted of OVID Medline, OVID Embase, The Cochrane Database of Systematic Reviews (CDSR), the Centre for Reviews and Dissemination (CRD) databases (DARE, NHSEED and HTA), Google Scholar, and the CNKI and CAOD Chinese databases; 2) for the systematic reviews of ART in permanent teeth: the above searches were supplemented by searches of the Cochrane Central Register of Controlled Trials (CENTRAL), LILAC, BBO, IMEAR (WHO Index Medicus for South East Region), WPRIM (WHO Western Pacific Region Index Medicus) and IndMed, Current Controlled Trials, Clinical Trials, OpenSIGLE, IADR conference abstracts and NLM Gateway. Hand searches were conducted of six dental journals known to have reported ART studies. References from retrieved systematic reviews, trials and other related papers were searched for additional reports. Authors were contacted. There were no language restrictions. Selection criteria: 1) for the assessment of existing systematic reviews: systematic reviews that compared ART to conventional treatment for the restoration of dental cavities; 2) for the systematic reviews of ART in permanent teeth: randomised controlled trials that compared ART using any adhesive material to conventional treatment using amalgam or any adhesive material Data collection: 1) for the assessment of existing systematic reviews: Reviews were selected and data was extracted by a single reviewer using a custom made data extraction sheet. Scope was assessed in terms of materials used, teeth and cavity type. Methodological quality was assessed using AMSTAR. Reporting quality was assessed using the PRISMA guidelines; 2) for the systematic reviews of ART in permanent teeth: reports of trials were screened and selected independently by two reviewers and data would have been extracted on a custom made data extraction sheet had there been eligible trials. Results: 1) for the assessment of existing systematic reviews: three systematic reviews were identified. Two of these were restricted to comparing ART with glass-ionomer to conventional treatment with amalgam; two allowed for inclusion of all cavity types in both deciduous and permanent teeth. None was of high methodological quality and reporting quality was good in one of the reviews only; 2) for the systematic reviews of ART in permanent teeth: no eligible trials were identified. Author’s conclusions: 1) existing systematic reviews do not have sufficient scope to allow for the inclusion of potentially eligible trials that would assess ARTs effectiveness and they have been of high to medium risk of bias; 2) it is disappointing that there are no properly conducted randomised controlled trials comparing ART to conventional treatment in class I and II cavities in the permanent dentition

Natural Language Processing – Finding the Missing Link for Oncologic Data, 2022

Oncology like most medical specialties, is undergoing a data revolution at the center of which lie vast and growing amounts of clinical data in unstructured, semi-structured and structed formats. Artificial intelligence approaches are widely employed in research endeavors in an attempt to harness electronic medical records data to advance patient outcomes. The use of clinical oncologic data, although collected on large scale, particularly with the increased implementation of electronic medical records, remains limited due to missing, incorrect or manually entered data in registries and the lack of resource allocation to data curation in real world settings. Natural Language Processing (NLP) may provide an avenue to extract data from electronic medical records and as a result has grown considerably in medicine to be employed for documentation, outcome analysis, phenotyping and clinical trial eligibility. Barriers to NLP persist with inability to aggregate findings across studies due to use of different methods and significant heterogeneity at all levels with important parameters such as patient comorbidities and performance status lacking implementation in AI approaches. The goal of this review is to provide an updated overview of natural language processing (NLP) and the current state of its application in oncology for clinicians and researchers that wish to implement NLP to augment registries and/or advance research projects

Electronic health records (EHRs) in clinical research and platform trials: Application of the innovative EHR-based methods developed by EU-PEARL

Electronic health records; Platform trialsRegistros médicos electrónicos; Pruebas de plataformaRegistres mèdics electrònics; Proves de plataformaObjective Electronic Health Record (EHR) systems are digital platforms in clinical practice used to collect patients’ clinical information related to their health status and represents a useful storage of real-world data. EHRs have a potential role in research studies, in particular, in platform trials. Platform trials are innovative trial designs including multiple trial arms (conducted simultaneously and/or sequentially) on different treatments under a single master protocol. However, the use of EHRs in research comes with important challenges such as incompleteness of records and the need to translate trial eligibility criteria into interoperable queries. In this paper, we aim to review and to describe our proposed innovative methods to tackle some of the most important challenges identified. This work is part of the Innovative Medicines Initiative (IMI) EU Patient-cEntric clinicAl tRial pLatforms (EU-PEARL) project’s work package 3 (WP3), whose objective is to deliver tools and guidance for EHR-based protocol feasibility assessment, clinical site selection, and patient pre-screening in platform trials, investing in the building of a data-driven clinical network framework that can execute these complex innovative designs for which feasibility assessments are critically important. Methods ISO standards and relevant references informed a readiness survey, producing 354 criteria with corresponding questions selected and harmonised through a 7-round scoring process (0–1) in stakeholder meetings, with 85% of consensus being the threshold of acceptance for a criterium/question. ATLAS cohort definition and Cohort Diagnostics were mainly used to create the trial feasibility eligibility (I/E) criteria as executable interoperable queries. Results The WP3/EU-PEARL group developed a readiness survey (eSurvey) for an efficient selection of clinical sites with suitable EHRs, consisting of yes-or-no questions, and a set-up of interoperable proxy queries using physicians’ defined trial criteria. Both actions facilitate recruiting trial participants and alignment between study costs/timelines and data-driven recruitment potential. Conclusion The eSurvey will help create an archive of clinical sites with mature EHR systems suitable to participate in clinical trials/platform trials, and the interoperable proxy queries of trial eligibility criteria will help identify the number of potential participants. Ultimately, these tools will contribute to the production of EHR-based protocol design.“EU-PEARL has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 853966-2. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA and CHILDREN'S TUMOR FOUNDATION, GLOBAL ALLIANCE FOR TB DRUG DEVELOPMENT NON PROFIT ORGANISATION, SPRINGWORKS THERAPEUTICS INC.

The use of ‘PICO for synthesis’ and methods for synthesis without meta-analysis: protocol for a survey of current practice in systematic reviews of health interventions

INTRODUCTION: Systematic reviews involve synthesis of research to inform decision making by clinicians, consumers, policy makers and researchers. While guidance for synthesis often focuses on meta-analysis, synthesis begins with specifying the ’PICO for each synthesis’ (i.e. the criteria for deciding which populations, interventions, comparators and outcomes are eligible for each analysis). Synthesis may also involve the use of statistical methods other than meta-analysis (e.g. vote counting based on the direction of effect, presenting the range of effects, combining P values) augmented by visual display, tables and text-based summaries. This study examines these two aspects of synthesis. OBJECTIVES: To identify and describe current practice in systematic reviews of health interventions in relation to: (i) approaches to grouping and definition of PICO characteristics for synthesis; and (ii) methods of summary and synthesis when meta-analysis is not used. METHODS: We will randomly sample 100 systematic reviews of the quantitative effects of public health and health systems interventions published in 2018 and indexed in the Health Evidence and Health Systems Evidence databases. Two authors will independently screen citations for eligibility. Two authors will confirm eligibility based on full text, then extract data for 20% of reviews on the specification and use of PICO for synthesis, and the presentation and synthesis methods used (e.g. statistical synthesis methods, tabulation, visual displays, structured summary). The remaining reviews will be confirmed as eligible and data extracted by a single author. We will use descriptive statistics to summarise the specification of methods and their use in practice. We will compare how clearly the PICO for synthesis is specified in reviews that primarily use meta-analysis and those that do not. CONCLUSION: This study will provide an understanding of current practice in two important aspects of the synthesis process, enabling future research to test the feasibility and impact of different approaches

Exploring the Effects of Smoking Cessation Interventions for Asians and Asian Americans: A Meta-Analytic Review

Cigarette smoking continues to be a leading health problem in the United States and worldwide. Despite high prevalence rates among some subpopulations of Asians and Asian Americans, little attention has been focused on identifying effective smoking cessation interventions for this group. A meta-analysis examining effect sizes was conducted to test the hypothesis that smoking cessation interventions, overall, improve quit outcomes among Asians and Asian Americans. Factors associated with intervention effectiveness were explored through moderator analyses. Results show that overall, smoking cessation interventions are efficacious for Asians and Asian Americans (OR = 2.33). Moderator analyses revealed high intensity treatments and treatments with biochemical verification are associated with greater odds of cessation. Specific methods of cultural tailoring were not found to have a significant effect on smoking cessation outcomes. The present study has significant research, theoretical, and clinical implications for smoking cessation interventions targeting Asians and Asian Americans

Artificial Intelligence for In Silico Clinical Trials: A Review

A clinical trial is an essential step in drug development, which is often costly and time-consuming. In silico trials are clinical trials conducted digitally through simulation and modeling as an alternative to traditional clinical trials. AI-enabled in silico trials can increase the case group size by creating virtual cohorts as controls. In addition, it also enables automation and optimization of trial design and predicts the trial success rate. This article systematically reviews papers under three main topics: clinical simulation, individualized predictive modeling, and computer-aided trial design. We focus on how machine learning (ML) may be applied in these applications. In particular, we present the machine learning problem formulation and available data sources for each task. We end with discussing the challenges and opportunities of AI for in silico trials in real-world applications