scholarly journals Trajectory research in children on the autism spectrum: a scoping review protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e053443
Author(s):  
Stephen Gentles ◽  
Eric Duku ◽  
Connor Kerns ◽  
Alana J McVey ◽  
Michelle C Hunsche ◽  
...  
Keyword(s):  
Scoping Review ◽  
Data Extraction ◽  
Meta Analysis ◽  
A Priori ◽  
Autism Spectrum ◽  
Medical Librarian ◽  
Review Protocol ◽  
Analytical Approaches ◽  
Trajectory Methods ◽  
Full Text Screening

IntroductionLongitudinal trajectory methods, featuring outcome assessments at three or more time points, are increasingly being used as appropriate approaches to understand developmental pathways of people on the autism spectrum across the lifespan. Understanding the scope of this rapidly expanding body of research can help inform future trajectory studies and identify areas for potential meta-analysis as well as key evidence gaps. We present the protocol for a scoping review whose objective is to identify and summarise the scope of research that uses a longitudinal trajectory study design to examine development in children diagnosed with autism. Specifically, we will identify outcome domains and age intervals that have been well characterised, areas where further research is needed and the historical use of various longitudinal trajectory analytical approaches.Methods and analysisWe outline the methods for the proposed scoping review according to the framework outlined by Arksey and O’Malley, with subsequent clarifications and enhancements by other authors. Using a search strategy developed by a medical librarian, we will search six databases for relevant publications. Titles and abstracts will be screened in duplicate, followed by full-text screening. Data extraction fields developed predominantly a priori from a set of guiding subquestions will be used to chart relevant data. The findings will include quantitative aggregate summaries, narrative summaries, and appraisal of trajectory studies according to our methodological subquestions. We will consult autistic self-advocate and parent–caregiver stakeholders to facilitate interpretation of the findings.Ethics and disseminationResearch ethics approval is not required for this scoping review. The results will be presented to researcher, care professional, policy-maker and stakeholder audiences at local and international conferences, other dissemination activities and published in a peer-reviewed journal.

scholarly journals Mapping Evidence on Global Perceptions of Environmental Sustainability amidst the COVID-19 Pandemic: A Systematic Review Protocol

2021 ◽  
Author(s):  
PETER ANSU-MENSAH ◽  
Monica Ansu-Mensah ◽  
Desmond Kuupiel
Keyword(s):  
Scoping Review ◽  
Environmental Sustainability ◽  
Data Extraction ◽  
Meta Analysis ◽  
World Health ◽  
Future Research ◽  
Regulatory Bodies ◽  
Review Protocol ◽  
Government Websites ◽  
Health Organization

Abstract Background: Identifying and addressing research gaps on environmental sustainability in this striving time of COVID-19, it is imperative to ensure proper waste management disposal, efficient use of energy as well as judicious use of transport in order to achieve the SDGs 2030.Aim: The proposed scoping review is aimed at mapping evidence on global perceptions of environmental sustainability amidst COVID-19 pandemic. Methods: The proposed study will be guided by the enhanced version of Arksey and O’Malley’s scoping review framework, and Levac et al. 2010 recommendations together with the 2015 Joanna Briggs Institute guidelines. A comprehensive keywords search for relevant studies presenting evidence of environmental sustainability during COVID-19 pandemic will be conducted with the following databases: SCOPUS, Google Scholar, EBSCOhost, and PubMed. Literature from university repositories and international organization such as the World Health Organization (WHO) and government websites relevant to the proposed study will also be retrieved. The proposed review will use the Preferred Reporting Items for Systematic Reviews and Meta-analysis: Extension for Scoping Review (PRISMA-ScR) to present the results of the study. For data extraction in a content thematic manner of analysis, NVivo version 11 software package will be used. A mixed methods appraisal tool (MMAT) version 2018 will be employed to appraise the quality of all the included studies. Discussion: We are hopeful that the results of the proposed study will inform future research and unveil evidence-based information to report potential environmental sustainability issues that may arise in this new phase of COVID-19 pandemic. It also anticipated that the proposed study will enable policy and regulatory bodies to implement new strategies to achieve the SDGs inclusive of COVID-19 pandemic.

scholarly journals Rehabilitation and Reintegration Programming Following Female Genital Fistula Surgery: A Scoping Review

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Alison M El Ayadi
Keyword(s):  
Scoping Review ◽  
Data Extraction ◽  
Grey Literature ◽  
Sub Saharan Africa ◽  
Social Reintegration ◽  
Fistula Surgery ◽  
Medical Librarian ◽  
Sub Saharan ◽  
Genital Fistula ◽  
Full Text Screening

Aims: To examine the range of rehabilitation and reintegration services provided as adjunct to genital fistula surgery, map the existing programming and outcomes, and identify areas where additional research is necessary. Methods: Our scoping review is informed by existing methodological frameworks and conducted in accordance with PRISMA guidelines.The search strategy was designed in collaboration with a medical librarian and is applied to nine biomedical, public health, and social science databases. Grey literature is identified through targeted searches and relevant organizational websites. Two primary reviewers independently screened titles and abstracts of all articles, followed by full-text screening and standardized data extraction. Eligible articles will discuss research or programmatic efforts around service provision in adjunct to surgery. Results: The literature review is currently underway and preliminary results including summary tables and narrative will be available to share at the ISOFS conference. Conclusions: The results of this scoping review will help in understanding and describing what is known and unknown about rehabilitation and social reintegration of women following genital fistula surgery in sub-Saharan Africa and may be useful in developing and evaluating social reintegration projects.

scholarly journals Infection-associated biofilms and statins: protocol for systematic review

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e046290
Author(s):  
Dora Yesenia Valencia ◽  
Magdiel Habila ◽  
D Jean McClelland ◽  
Abraham Degarege ◽  
Purnima Madhivanan ◽  
...  
Keyword(s):  
Systematic Review ◽  
Assessment Tool ◽  
Data Extraction ◽  
Meta Analysis ◽  
High Yield ◽  
Ethical Review ◽  
Bias Assessment ◽  
Medical Librarian ◽  
Registration Number ◽  
Review Protocol

IntroductionOwing to their propensity for being associated with infections, biofilms have become a focus in infectious disease research. There is evidence suggesting that statins, which are commonly used for prevention of cardiovascular disease, may prevent biofilm-associated infections, but this association has not been well-understood.Methods and analysisThis systematic review protocol will include six database searches from their inception to 20 August 2020. A medical librarian will conduct the searches in PubMed, EMBASE, Web of Science, CINAHL, LILACS and CENTRAL, without any limits. Bibliographies of selected articles, previously published reviews and high-yield journals that publish on statins and/or biofilms will be searched to identify additional articles. The screening and data extraction will be conducted by two independent reviewers using DistillerSR. All included papers will also be evaluated for quality using Cochrane Risk of Bias Assessment tool, and we will examine for publication bias. If there are two or more studies with quantitative estimates that can be combined, we will conduct a meta-analysis after assessing for heterogeneity. We will report all findings according to the Preferred Reporting Items for Systematic reviews and Analyses-P framework.Ethics and disseminationThere are conflicting results on the effect of statins on biofilm-associated infections. The rise of antibiotic resistance in medical settings warrants a deeper understanding of this association, especially if statins can be used as a novel antibiotic. The findings of this review will assess the association between statin use and biofilm-associated infection to inform future medical practice. No formal ethical review is required for this protocol. All findings will be published in a peer-reviewed journal.PROSPERO registration numberCRD42020193985.

scholarly journals Scoping review protocol: effectiveness of individualised nutritional care plans to reduce malnutrition during hospitalisation and up to 3 months after discharge

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e032615
Author(s):  
Kari Ingstad ◽  
Lisbeth Uhrenfeldt ◽  
Ingjerd Gåre Kymre ◽  
Conni Skrubbeltrang ◽  
Preben Ulrich Pedersen
Keyword(s):  
Scoping Review ◽  
Transitional Care ◽  
Meta Analysis ◽  
Relevant Literature ◽  
Loss Of Function ◽  
Nutritional Care ◽  
Care Plans ◽  
Materials Research ◽  
Medical Librarian ◽  
Review Protocol

IntroductionMore than 20% of patients are malnourished after hospitalisation. Malnutrition may negatively impact patients’ outcomes as it increases the risk of complications, morbidity, mortality and loss of function. However, hospital-initiated transitional care can improve some outcomes in hospitalised adult patients. The objective of this scoping review is to map the literature that assesses the effectiveness of individualised nutritional care plans to reduce malnutrition during hospitalisation and for the first 3 months after discharge.Methods and analysisThis protocol is based on the framework outlined by Arksey and O’Malley. The search strategy was developed by a medical librarian. We will search for relevant literature from the following databases: MEDLINE via PubMed, Cumulative Index to Nursing and Allied Health Literature, and Embase. We will also search the reference lists of included studies. Two independent reviewers will screen abstracts and full articles in parallel, from the included studies using specific inclusion and exclusion criteria. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols checklist facilitated the preparation of this research protocol. The scoping review will provide a narrative account of the findings from the existing literature through thematic content analysis of the extracted literature.Ethics and disseminationSince all data will be obtained from publicly available materials, research ethics approval is not required for this scoping review. The research findings will be submitted for publication in a relevant open-access peer-reviewed journal and presented at relevant conferences.

scholarly journals Prevalence and predictors of medication non-adherence among patients with multimorbidity: A systematic review protocol

2019 ◽  
Vol 2 ◽  
pp. 29
Author(s):  
Louise Foley ◽  
James Larkin ◽  
Richard Lombard-Vance ◽  
Andrew W. Murphy ◽  
Gerard J. Molloy
Keyword(s):  
Systematic Review ◽  
Full Text ◽  
Chronic Conditions ◽  
Data Extraction ◽  
Meta Analysis ◽  
Intervention Development ◽  
Evidence Base ◽  
Multiple Chronic Conditions ◽  
Review Protocol ◽  
Form Quality

Introduction: Patients with multimorbidity are expected to adhere to complex medication regimens in order to manage their multiple chronic conditions. It has been reported the likelihood of adherence decreases as patients are prescribed more medications. Much medication adherence research to date is dominated by a single-disease focus, which is at odds with the rising prevalence of multimorbidity and may artificially underestimate the complexity of managing chronic illness. This review aims to describe the prevalence of medication non-adherence among patients with multimorbidity, and to identify potential predictors of non-adherence in this population. Methods: A systematic review will be conducted and reported according to PRISMA guidelines. PubMed, EMBASE, CINAHL and PsycINFO will be searched using a predefined search strategy from 2009–2019. Quantitative studies will be considered eligible for review if prevalence of medication non-adherence among adults with two or more chronic conditions is reported. Studies will be included in the review if available in English full text. Titles and abstracts will be screened by single review, with 20% of screening cross-checked by a second reviewer. Full-text articles will be screened by two independent reviewers, noting reasons for exclusions. Data extraction will be performed using a predefined extraction form. Quality and risk of bias assessment will be conducted using criteria for observational studies outlined by Sanderson et al. (2007). A narrative synthesis and, if feasible, meta-analysis will be conducted. Discussion: By exploring medication non-adherence from a multimorbidity perspective, the review aims to inform an evidence base for intervention development which accounts for the rising prevalence of patients with multiple chronic conditions.  Study registration: The systematic review is prospectively registered in PROSPERO (CRD42019133849); registered on 12 June 2019.

Abstract 210: Implementation of Appropriate Use Criteria for Cardiology Tests and Procedures: A Systematic Review and Meta-analysis

2020 ◽  
Vol 13 (Suppl_1) ◽  
Author(s):  
David E Winchester ◽  
Justin Merritt ◽  
Nida Waheed ◽  
Hannah Norton ◽  
Veena Manja ◽  
...  
Keyword(s):  
Implementation Strategy ◽  
Data Extraction ◽  
Meta Analysis ◽  
A Priori ◽  
Intervention Strategy ◽  
Implementation Strategies ◽  
Appropriate Use Criteria ◽  
Appropriate Use ◽  
Appropriate Care ◽  
Specific Implementation

Background: The American College of Cardiology appropriate use criteria (AUC) provide clinicians with evidence-informed recommendations for cardiac care. Adopting AUC into clinical workflows may present challenges, and there may be specific implementation strategies that are effective in promoting effective use of AUC. We sought to assess the effect of implementing AUC in clinical practice. Methods: We conducted a meta-analysis of studies found through a systematic search of the MEDLINE, Web of Science, Cochrane, or CINAHL databases. Peer-reviewed manuscripts published after 2005 that reported on the implementation of AUC for a cardiovascular test or procedure were included. The analysis protocol was submitted a priori to the PROSPERO international prospective register of systematic reviews. We used a structured data extraction spreadsheet for elements such as study design, implementation strategy, and primary outcome. Results: We included 18 studies, the majority used pre/post cohort designs; few (n=3) were randomized trials. Most studies used multiple strategies (n=12, 66.7%). Education was the most common individual intervention strategy (n=13, 72.2%), followed by audit & feedback (n=8, 44.4%) and computerized physician order entry (CPOE) (n=6, 33.3%). No studies reported on formal use of stakeholder engagement or “nudges”. In meta-analysis, AUC implementation was associated with a reduction in inappropriate/rarely appropriate care (odds ratio 0.62, 95 % confidence interval 0.49-0.78). Funnel plot suggests the possibility of publication bias. Conclusions: We found most published efforts to implement AUC succeeded at reducing inappropriate/rarely appropriate care. Studies rarely explored how or why the implementation strategy was effective. Because interventions were infrequently tested in isolation, it is difficult to make observations about their effectiveness as stand-alone strategies.

scholarly journals P071: Artificial intelligence in emergency medicine: A scoping review

CJEM ◽  
2020 ◽  
Vol 22 (S1) ◽  
pp. S90-S90
Author(s):  
A. Kirubarajan ◽  
A. Taher ◽  
S. Khan ◽  
S. Masood
Keyword(s):  
Artificial Intelligence ◽  
Emergency Medicine ◽  
Language Processing ◽  
Scoping Review ◽  
Clinical Decision Making ◽  
Data Extraction ◽  
A Priori ◽  
Clinical Decision ◽  
Hospital Environment ◽  
Clinical Implementation

Introduction: The study of artificial intelligence (AI) in medicine has become increasingly popular over the last decade. The emergency department (ED) is uniquely situated to benefit from AI due to its power of diagnostic prediction, and its ability to continuously improve with time. However, there is a lack of understanding of the breadth and scope of AI applications in emergency medicine, and evidence supporting its use. Methods: Our scoping review was completed according to PRISMA-ScR guidelines and was published a priori on Open Science Forum. We systematically searched databases (Medline-OVID, EMBASE, CINAHL, and IEEE) for AI interventions relevant to the ED. Study selection and data extraction was performed independently by two investigators. We categorized studies based on type of AI model used, location of intervention, clinical focus, intervention sub-type, and type of comparator. Results: Of the 1483 original database citations, a total of 181 studies were included in the scoping review. Inter-rater reliability for study screening for titles and abstracts was 89.1%, and for full-text review was 77.8%. Overall, we found that 44 (24.3%) studies utilized supervised learning, 63 (34.8%) studies evaluated unsupervised learning, and 13 (7.2%) studies utilized natural language processing. 17 (9.4%) studies were conducted in the pre-hospital environment, with the remainder occurring either in the ED or the trauma bay. The majority of interventions centered around prediction (n = 73, 40.3%). 48 studies (25.5%) analyzed AI interventions for diagnosis. 23 (12.7%) interventions focused on diagnostic imaging. 89 (49.2%) studies did not have a comparator to their AI intervention. 63 (34.8%) studies used statistical models as a comparator, 19 (10.5%) of which were clinical decision making tools. 15 (8.3%) studies used humans as comparators, with 12 of the 15 (80%) studies showing superiority in favour of the AI intervention when compared to a human. Conclusion: AI-related research is rapidly increasing in emergency medicine. AI interventions are heterogeneous in both purpose and design, but primarily focus on predictive modeling. Most studies do not involve a human comparator and lack information on patient-oriented outcomes. While some studies show promising results for AI-based interventions, there remains uncertainty regarding their superiority over standard practice, and further research is needed prior to clinical implementation.

scholarly journals Type and use of digital technology in learning health systems: a scoping review protocol

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e026204
Author(s):  
Lysanne Lessard ◽  
Agnes Grudniewicz ◽  
Antoine Sauré ◽  
Agnieszka Szczotka ◽  
James King ◽  
...  
Keyword(s):  
Health Systems ◽  
Scoping Review ◽  
Digital Technology ◽  
Technology Use ◽  
Data Extraction ◽  
Grey Literature ◽  
Future Research ◽  
Efficiency And Effectiveness ◽  
Ethical Approval ◽  
Review Protocol

IntroductionHealth systems in North America and Europe have been criticised for their lack of safety, efficiency and effectiveness despite rising healthcare costs. In response, healthcare leaders and researchers have articulated the need to transform current health systems into continuously and rapidly learning health systems (LHSs). While digital technology has been envisioned as providing the transformational power for LHSs by generating timely evidence and supporting best care practices, it remains to be ascertained if it is indeed playing this role in current LHS initiatives. This paper presents a protocol for a scoping review that aims at providing a comprehensive understanding of how and to what extent digital technology is used within LHSs. Results will help to identify gaps in the literature as a means to guide future research on this topic.Methods and analysisMultiple databases and grey literature will be searched with terms related to learning health systems. Records selection will be done in duplicate by two reviewers applying pre-defined inclusion and exclusion criteria. Data extraction from selected records will be done by two reviewers using a piloted data charting form. Results will be synthesised through a descriptive numerical summary and a mapping of digital technology use onto types of LHSs and phases of learning within LHSs.Ethics and disseminationEthical approval is not required for this scoping review. Preliminary results will be shared with stakeholders to account for their perspectives when drawing conclusions. Final results will be disseminated through presentations at relevant conferences and publications in peer-reviewed journals.

scholarly journals Issues in reporting of systematic review methods in health app-focused reviews: A scoping review

2020 ◽  
Vol 26 (4) ◽  
pp. 2930-2945
Author(s):  
Rebecca Grainger ◽  
Hemakumar Devan ◽  
Bahram Sangelaji ◽  
Jean Hay-Smith
Keyword(s):  
Systematic Review ◽  
Clinical Efficacy ◽  
Scoping Review ◽  
Data Extraction ◽  
Reporting Standard ◽  
Systematic Review Methods ◽  
Protocol Registration ◽  
Mobile Health Apps ◽  
Review Protocol ◽  
Data Elements

No guidelines exist for the conduct and reporting of manuscripts with systematic searches of app stores for, and then appraisal of, mobile health apps (‘health app-focused reviews’). We undertook a scoping review including a systematic literature search for health app-focused reviews describing systematic app store searches and app appraisal, for apps designed for patients or clinicians. We created a data extraction template which adapted data elements from the PRISMA guidelines for systematic literature reviews to data elements operationalised for health app-focused reviews. We extracted the data from included health app-focused reviews to describe: (1) which elements of the adapted ‘usual’ methods of systematic review are used; (2) methods of app appraisal; and (3) reporting of clinical efficacy and recommendations for app use. From 2798 records, the 26 included health app-focused reviews showed incomplete or unclear reporting of review protocol registration; use of reporting guidelines; processes of screening apps; data extraction; and appraisal tools. Reporting of clinical efficacy of apps or recommendations for app use were infrequent. The reporting of methods in health app-focused reviews is variable and could be improved by developing a consensus reporting standard for health app-focused reviews.

scholarly journals Clinical prediction models to diagnose neonatal sepsis: a scoping review protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e039712
Author(s):  
Samuel R Neal ◽  
David Musorowegomo ◽  
Hannah Gannon ◽  
Mario Cortina Borja ◽  
Michelle Heys ◽  
...  
Keyword(s):  
Scoping Review ◽  
Low Income ◽  
Neonatal Sepsis ◽  
Prediction Models ◽  
Data Extraction ◽  
Cochrane Library ◽  
Clinical Prediction ◽  
Clinical Prediction Models ◽  
Scoping Reviews ◽  
Review Protocol

IntroductionNeonatal sepsis is responsible for significant morbidity and mortality worldwide. Diagnosis is often difficult due to non-specific clinical features and the unavailability of laboratory tests in many low-income and middle-income countries (LMICs). Clinical prediction models have the potential to improve diagnostic accuracy and rationalise antibiotic usage in neonatal units, which may result in reduced antimicrobial resistance and improved neonatal outcomes. In this paper, we outline our scoping review protocol to map the literature concerning clinical prediction models to diagnose neonatal sepsis. We aim to provide an overview of existing models and evidence underlying their use and compare prediction models between high-income countries and LMICs.Methods and analysisThe protocol was developed with reference to recommendations by the Joanna Briggs Institute. Searches will include six electronic databases (Ovid MEDLINE, Ovid Embase, Scopus, Web of Science, Global Index Medicus and the Cochrane Library) supplemented by hand searching of reference lists and citation analysis on included studies. No time period restrictions will be applied but only studies published in English or Spanish will be included. Screening and data extraction will be performed independently by two reviewers, with a third reviewer used to resolve conflicts. The results will be reported by narrative synthesis in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines.Ethics and disseminationThe nature of the scoping review methodology means that this study does not require ethical approval. Results will be disseminated through peer-reviewed publications and conference presentations, as well as through engagement with peers and relevant stakeholders.

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