Providing valid evidence for decision-making: the Drug Safety and Effectiveness Network Methods and Applications Group in Indirect Comparisons (DSEN MAGIC)

Publication: FACETS
26 May 2022

Abstract

In 2009, the Canadian Institutes of Health Research, Health Canada, and other stakeholders established the Drug Safety and Effectiveness Network (DSEN) to address the paucity of information on drug safety and effectiveness in real-world settings. This unique network invited knowledge users (e.g., policy makers) to submit queries to be answered by relevant research teams. The research teams were launched via open calls for team grants focused in relevant methodologic areas. We describe the development and implementation of one of these collaborating centres, the Methods and Application Group for Indirect Comparisons (MAGIC). MAGIC was created to provide high-quality knowledge synthesis including network meta-analysis to meet knowledge user needs. Since 2011, MAGIC responded to 54% of queries submitted to DSEN. In the past 5 years, MAGIC produced 26 reports and 49 publications. It led to 15 trainees who entered industry, academia, and government. More than 10 000 people participated in courses delivered by MAGIC team members. Most importantly, MAGIC knowledge syntheses influenced practice and policy (e.g., use of biosimilars for patients with diabetes and use of smallpox vaccinations in people with contraindications) provincially, nationally, and internationally.

Introduction

In 2009, the Canadian Institutes of Health Research (CIHR), Health Canada, and other stakeholders partnered to establish the Drug Safety and Effectiveness Network (DSEN). DSEN was developed to address a knowledge gap in Canada, namely, the lack of information on the safety and effectiveness of drugs used in real-world settings (DSEN 2020). Its objectives are to increase the evidence on drug safety and effectiveness available to regulators, policy makers, clinicians, and patients and to build capacity in Canada in this field. DSEN includes a virtual network of linked collaborating centres, a Coordinating Office that is situated in the CIHR, and a Steering Committee (SC) that includes representatives from various stakeholders including the Canadian Institute for Health Information (CIHI) and the Canadian Agency for Drugs and Technologies in Health (CADTH) as well as patients/citizens, clinicians, and policy makers. In this manuscript, we describe the development, implementation, and outcomes of one of the DSEN collaborating centres.

Methods

DSEN organisation

The collaborating centres are pan-Canadian networks of researchers that were launched via open calls for team grants focused in various methodologic areas such as observational studies, pharmacogenetics studies, and network meta-analysis (NMA), which compares multiple treatments simultaneously in a single analysis through combining direct and indirect evidence from primary studies (Caldwell et al. 2005). They were created to organize researchers with relevant, internationally recognized methods experts who could respond efficiently to queries from knowledge users (e.g., policy makers) and engage with these knowledge users to enhance research dissemination and capacity building. Moreover, these collaborating centres were mandated to build capacity in Canada to create future generations of researchers with expertise in drug safety and effectiveness.

History of MAGIC

In 2011, an open call for a collaborating centre in NMA was launched and three multidisciplinary, pan-Canadian research teams were funded for three years to respond to relevant research questions from decision-makers (called queries). While some base support for each team was provided for demonstration projects, individual grant applications were prepared and submitted for peer review for each new query from knowledge users. During this 3-year period, more than 28 queries were responded to and 15 knowledge syntheses (comprehensive literature search using reproducible methods, (CIHR 2010)) were conducted, leading to 25 peer-reviewed publications in high impact journals, including BMJ (British Medical Journal) and CMAJ (Canadian Medical Association Journal), amongst others. More than 50 presentations and courses were delivered by the research teams for various knowledge users. Two investigators (BH and ACT) involved with the teams received CIHR New Investigator Awards in drug safety and effectiveness; 15 trainees were involved in the teams’ activities. Based on the success, productivity, and established collaborations across the teams, in 2014, the three teams were invited to submit a single application for renewal. This application led to the creation of MAGIC: Methods and Application Group for Indirect Comparisons. MAGIC was funded $13,128,862 for 9 years overall (originally from 2014 to 2019 and renewed from 2019 to 2022).
MAGIC was created to improve pharmacovigilance and post-market surveillance in Canada by continuing to provide high-quality knowledge synthesis and an environment of research excellence. Learnings from the initial 3 years identified the need for more nimbleness to respond to queries; as such, the base collaborating centre funding was increased to remove the barrier of applying for peer-reviewed funding for each query received from the knowledge users. This change was in direct response to knowledge user feedback to have a more efficient response to the queries. Similarly, the review teams identified through engagement with knowledge users that queries often required access to different knowledge synthesis methods outside of NMA including rapid reviews, scoping reviews, and overviews of reviews amongst others. This review expertise was available through MAGIC.

MAGIC team

The MAGIC team includes 42 members from six provinces and four countries and represents an international collaboration of researchers with recognized methodologic expertise to address questions of drug safety and effectiveness and cost effectiveness. Members’ expertise includes different research disciplines such as knowledge synthesis, biostatistics, knowledge translation (KT), pharmacoepidemiology, pharmacoeconomics, sex and gender analysis, and health technology assessment. Clinical specialties include nursing, medicine, pharmacy, and clinical pharmacology amongst others. Of note, team members are internationally recognized for their works to advance methods in NMA (e.g., PRISMA NMA (Hutton et al. 2015), assessing inconsistency (Veroniki et al. 2013), including observational studies (Cameron et al. 2015), risk of bias assessment (Brown et al. 2014; Cameron et al. 2015), rapid reviews (e.g., handbook,(Tricco et al. 2017; Tricco et al. 2015)), scoping reviews (e.g., PRISMA ScR (Tricco et al. 2016a; Tricco et al. 2018)) and various other knowledge synthesis methods (Tricco et al. 2016b) as well as KT (Graham et al. 2006; Straus et al. 2011b; Strifler et al. 2018). Most importantly, MAGIC includes knowledge users and operates via an integrated KT approach whereby knowledge users are engaged from identification of the question through to research design, completion (Straus et al. 2013), and dissemination.

Governance

MAGIC is governed by a SC, which is composed of the five principal applicants and a co-applicant (authors of this paper). The SC is responsible for planning, decision-making, and resource allocation in consultation with the larger MAGIC team. The SC also identifies circumstances requiring remedial action to manage risk, such as delays in deliverables or conflicts of interest. The SC ensures that all MAGIC members and knowledge users involved in queries conform to the policy for disclosing conflicts of interest. This issue is critically important, given the focus on drug safety and effectiveness and the need for researchers to be at arm’s length from industry.

Research approach

Knowledge users (including Health Canada, provincial partners, CADTH) can submit queries regarding drug safety and effectiveness to the DSEN Coordinating Office using a standardized template. A DSEN Scientific Advisory Committee that includes representation from the CIHR, Health Canada, CADTH, CIHI, and the collaborating centres discusses query feasibility. Each collaborating centre conducts a feasibility assessment from their team’s methodologic perspective; for example, some queries may best be answered by observational studies and others through a systematic review and NMA, a prospective observational study, or a combination of methods. The DSEN Coordinating Office then asks the collaborating centres to present their feasibility assessments at a monthly Scientific Advisory Committee meeting with the query requestor (i.e., knowledge user) in attendance. After this meeting, the requestor considers which of the approaches they feel would best meet their needs. The CIHR Coordinating Office then informs the relevant collaborating centres. The coordination of this process via the CIHR Coordinating Office typically takes 1–3 months.
MAGIC uses a five-phase process to answer queries (Figure 1), which has been iteratively developed over the past 10 years. The cross-cutting principles to our approach focus on ensuring knowledge users’ needs for rigorous knowledge syntheses are met in a timely fashion, building capacity and mentorship, demonstrating research excellence, and using an integrated KT approach. In Phase 1, the DSEN coordinating office informs MAGIC about the decision from the query requestor; MAGIC immediately asks to meet with the requestor and a teleconference is organized. In Phase 2, MAGIC meets with the requestor to clarify their needs to inform the query (outlining the patient, interventions, comparators, outcomes, concept, and context). During this meeting, query restrictions are outlined (such as age, language) and suitable methods for knowledge user engagement are identified as well as desired format of final deliverables (e.g., report, slide deck). In Phase 3, a work plan is created using the template specified by the DSEN Coordinating Office; it is sent to the knowledge user and the Coordinating Office for Review. The work plan includes the methods, budget, KT strategy, project update frequency, and timelines. MAGIC offers to present and discuss the work plan with the knowledge user. MAGIC conducts the research during Phase 4 and provides regular updates via the DSEN Coordinating Centre. Preliminary reports with the knowledge users are provided and knowledge exchange is offered via a webinar to discuss results. Tailored end-of-grant KT strategies are implemented in Phase 5. For example, MAGIC incorporates all feedback from the knowledge users, creates a final report, offers a webinar to present results and submits a publication to an open access, peer-reviewed journal. Knowledge users are invited co-authors on all publications. Publications are shared with the DSEN coordinating office. A one-page research brief is posted on the MAGIC website and disseminated via social media (e.g., Twitter, LinkedIn).
Fig. 1.
Fig. 1. Methods and Applications Group in Indirect Comparisons (MAGIC) uses a five-phase process to answer queries. The cross-cutting principles to our approach focus on ensuring knowledge users’ needs for rigorous knowledge syntheses are met in a timely fashion, building capacity and mentorship, demonstrating research excellence, and using an integrated knowledge translation approach. Figure used with permission from Straus et al. (2013), Knowledge Translation in Health Care.
Queries may be declined for a variety of reasons. For example, a knowledge synthesis may not be feasible for the query as there may not be any primary studies on the topic (e.g., such as for a new drug that has not yet been tested in a randomized trial or no post-marketing surveillance data are yet available). If a recent, high-quality knowledge synthesis has already been completed, there is no need for another synthesis, thereby avoiding duplication of effort and research waste. Another common reason for declining a query is that the question is best answered by another study design such as a prospective observational study.
Once a query is approved, MAGIC uses a standardized nine-step method for knowledge synthesis as outlined in Figure 2. We use standardized methods to reduce redundancy, promote independent reproducibility, increase efficiency, and ensure best practices in knowledge synthesis conduct such as methods in the Cochrane Handbook for Systematic Reviews (Higgins et al. 2021), JBI for Scoping Reviews (Peters et al. 2020), and JBI Methods Guide for Synthesizing Qualitative Evidence (Aromataris 2020). All steps are done in an iterative fashion with input from the knowledge users throughout. In Step 1, we match the query to the relevant knowledge synthesis method, using a freely available tool we created (KTP 2019). Question formulation and refinement occur in Step 2 and sex and gender are considered in all questions as appropriate. The protocol and work plan are developed in Step 3. The protocol follows relevant reporting guidelines (e.g., PRISMA-P (Shamseer et al. 2015)) and with permission from the knowledge user, a one-page protocol brief is posted on the MAGIC website. The protocol is peer-reviewed and registered (e.g., with PROSPERO (2021) for systematic reviews and Open Science Framework (OSF 2021) for other reviews). The literature search is conducted in Step 4, by experienced librarians using multiple electronic databases and grey literature (CADTH 2011). Online software (e.g., DistillerSR (2021), Synthesi.SR (Synthesi 2014)) is used to manage and standardize screening, including titles and abstracts and full text (Step 5). Data abstraction occurs in Step 6 and we assess the evidence quality in Step 7 using GRADEpro (2021) software and relevant risk of bias (Sterne et al. 2019) tools. In Step 8, we complete the synthesis, which includes a descriptive summary of the studies. If more than one included study reports an outcome specified in the research query, and where appropriate and feasible, we conduct a meta-analysis. NMA is considered in partnership with knowledge users when there are multiple interventions and the knowledge users want to make inferences regarding their relative effectiveness. Reporting the knowledge synthesis is Step 9 and involves use of relevant reporting guidelines from the EQUATOR Network to ensure transparency.
Fig. 2.
Fig. 2. Once a query is approved, Methods and Applications Group in Indirect Comparisons (MAGIC) uses a standardized nine-step method for knowledge synthesis. All steps are done in an iterative fashion with input from the knowledge users throughout.

Capacity building

One of MAGIC’s goals is to provide a positive, nurturing, and stimulating environment for trainees interested in knowledge synthesis including NMA. We use the successful Strategic Training Initiative in Health Research (STIHR (Straus et al. 2011a)) training framework, developed over 10 years ago for KT Canada. We leverage other CIHR-funded initiatives including Drug Safety and Effectiveness Cross-disciplinary Training (DSECT) Program and the Strategy for Patient-Oriented Research (SPOR) Evidence Alliance (SPOR EA 2021) to identify potential trainees and match them with mentors to enhance capacity in knowledge synthesis methods in drug safety and effectiveness research. MAGIC focuses on building capacity across three educational streams—Stream 1: Graduate-level trainees and fellows from various disciplines (e.g., epidemiology, biostatistics, clinical epidemiology, health economics) interested in health technology assessment and knowledge synthesis science; Stream 2: researchers and research staff who are interested in gaining familiarity with the principles of knowledge synthesis and NMA; and Stream 3: knowledge users including policy makers, clinicians, and patients interested in enhancing their skills to use, appraise, and interpret knowledge synthesis and NMA. Courses and learning opportunities are tailored to each stream (Box 1).
Box 1.
Stream 1: To encourage collaboration and facilitate educational opportunities, various strategies are undertaken including cross-institutional appointments to graduate thesis committees. A mentorship program was implemented for trainees, which we also provide for the DSECT training initiative. The mentorship approach is based on systematic reviews of mentorship we conducted and a book MAGIC investigators wrote on the topic (Sambunjak et al. 2006; Sambunjak et al. 2010; Straus and Sackett 2013). We offer a variety of training activities including seminars, courses, and research practicums. We encourage all Stream 1 trainees to apply to the DSECT fellowship to gain enhanced training on drug safety and effectiveness research. A quarterly “Research Operations” e-seminar series is available for students focusing on writing grants; reviewing grants; preparing presentations, grants, ethics submissions, and manuscripts; and discussing ethical issues in research and project management. Trainees are invited to participate in courses including an online knowledge synthesis course and the Practising Knowledge Translation Course, which are provided by the KT Program of St. Michael’s Hospital. Trainees are also invited to attend a monthly KT seminar series and the annual KT Summer Institute. Opportunities for trainees to network with decision makers and other researchers and knowledge users are also provided through the DSEN meetings.
Stream 2: All researchers and research staff affiliated with DSEN are provided the opportunity to participate in various courses such as the online knowledge synthesis course and workshops covering topics, such as rapid reviews, health economic reviews, and GRADE for NMA. They are also able to attend the monthly KT seminar series and the KT Summer Institute.
Stream 3: We created short introductory webinars on different review methods for various knowledge users. Workshops have been provided on topics including rapid review methods, PRISMA NMA, risk of bias assessment, and NMA methods. We co-developed online webinars called Partners in Research, which engage patients and researchers on how to co-create research together. We also offer an end-of-grant KT session for policy makers and an introduction to KT session.

Results

MAGIC return on investment

MAGIC has demonstrated substantial productivity in addressing queries. To date, we responded to 62 queries (54% of all DSEN queries) that are completed/ongoing (Supplementary Table S1). Since 2014, MAGIC produced 26 reports for knowledge users and 49 publications (DSEN MAGIC 2021). MAGIC team members completed an additional 92 knowledge synthesis methods papers that were not DSEN funded, but that advanced and informed methods. A number of papers describing methodologic advances were also completed by the MAGIC team including reporting guidelines (e.g., for scoping reviews and NMAs (Hutton et al. 2015; Tricco et al. 2016a; Tricco et al. 2018)) and presentation of NMA (Veroniki et al. 2016) results. An additional >$99.7 million in peer-reviewed research funding was held by MAGIC members. A total of 125 national and 88 international presentations were led by MAGIC team members. Team members mentored >100 trainees toward developing capacity in the next generation of DSEN researchers. Four trainees participated in DSECT. Nine trainees received prestigious awards (e.g., Polanyi Prize, Vanier Scholar, CIHR Banting Doctoral Award, CIHR Rising Star Awards), and three of these now have university affiliations. More than 10,000 learners have engaged in the various courses MAGIC investigators have provided including >100 patients in our Partners in Research course. A variety of research support tools have been created including “What review is right for you”, which matches the query to a review method and the rank heat plot (Veroniki et al. 2016), which plots the results from all NMA outcomes into one figure.
Creating a pipeline of researchers in Canada is critical to ensuring continued development and innovation in drug safety and effectiveness and ensuring the foundations are in place for Canada to maintain national and international reputation in this space. In addition to Drs. Tricco and Hutton’s success with the very competitive CIHR New Investigator Awards, Dr. Tricco now holds a Tier 2 Canada Research Chair in Knowledge Synthesis. Drs. Straus and Tricco supervised post-doctoral fellow Dr. Veroniki who received a Banting Post-doctoral Award and she was awarded the Polanyi Prize for her methodologic contributions. Drs. Straus, Tricco, and Veroniki then supervised PhD student, Dr. Watt. Dr. Watt received the CIHR Rising Star Award for her research and is currently a scientist in the KT Program at St. Michael’s Hospital and a faculty member of the University of Toronto. MAGIC trainees have been employed in academia, industry, and government, highlighting the breadth of expertise these trainees have.
Ultimately, DSEN was developed to inform practice and policy and MAGIC has met this goal. Specifically, our goal is to improve the health of all Canadians by influencing at least one policy decision per year as measured by a tangible change in policy or action by a DSEN knowledge user that is directly attributable to our research; this outcome was determined based on feedback obtained from the knowledge users that posed the query. Our goal of influencing at least 1 policy decision per year was surpassed. For example, the British Columbia Ministry of Health commissioned a systematic review and NMA on long-acting and intermediate-acting insulin. Findings were used to continue listing coverage of these agents in a similar manner and the report was published in the BMJ (Tricco et al. 2014). MAGIC was later contacted by the World Health Organisation (WHO), which requested a report based on this work for their Essential Medicines initiative (a program that provides recommendations to countries worldwide regarding which medications should be provided to their citizens). The WHO subsequently requested an expansion of the query to include biosimilars, which was also of interest to Health Canada and CADTH. As such, a second essential medicines application was submitted and identified by the WHO as being the second most important application in the world (Tricco et al. 2021a, 2021b). This query shows MAGIC’s ability to use an iterative approach, while fostering both national and international collaborations to achieve global impact.
As another example, CADTH commissioned MAGIC to explore the efficacy and safety of interferon-free direct-acting antiviral agents for chronic hepatitis C infection. This review was commissioned on behalf of provincial and territorial public drug plans. This query presented a unique methodological challenge as novel study designs were permitted by regulators for the newer treatment regimens. These study designs included interventional, single-arm studies (i.e., no formal comparative control group included in the design or a historical control cohort was used) or studies where only a single arm of the study fits the eligibility criteria. The NMA methodology was adjusted to incorporate the effect estimates from this single-arm evidence into the networks of treatments. It was not possible to use comparative effectiveness methods (e.g., propensity score weighting) as no individual patient data were available. Instead, we incorporated single-arm studies into the NMA by creating a “virtual” study where a comparator arm matched for baseline patient characteristics was identified for the single arm. The results of the review were presented to the Canadian Drug Expert Committee (CDEC) and, together with the cost-effectiveness analysis, CDEC made recommendations, which were disseminated to the provincial and territorial decision-makers. Both a publicly available technical report and a peer-reviewed article were generated (CADTH 2016; Wong et al. 2017).
The Ministry of Health in Nunavut requested a rapid review of interventions for latent tuberculosis prophylaxis. This review was later updated and results were used to inform their policy crisis (Pease et al. 2017; 2018).
These syntheses show the diverse range of review methods available within MAGIC. Moreover, MAGIC uses modified methods to meet urgent timelines (such as during the COVID-19 pandemic) to ensure timely decision-making. Indeed, MAGIC has lead research on optimising rapid review methods, including use of automation and machine learning (Pham et al. 2021).

Challenges

We identified and responded to several challenges over the duration of the DSEN funding period (10 years). First, knowledge users expressed concerns around timelines for queries to reach the MAGIC team. We endeavoured to engage the relevant knowledge users while being mindful of the centralized CIHR process, which was created to facilitate this. Second, the knowledge users identified increased pressure to include real-world evidence, as well as important sub-group populations in our analyses. The MAGIC team includes several people who are experts in real-world evidence; they include data from registries and cohort studies wherever possible, conduct analyses including nonrandomised study data separate from randomized evidence wherever possible, and consider conducting other types of analyses, such as qualitative interviews and surveys to fill any gaps identified in the literature. For example, a query we conducted for Health Canada on optimal drug prescribing included qualitative data collection, as the literature was scant and insufficient to answer their research questions. Third, we experienced data confidentiality, sharing, and access issues. In queries involving proprietary data (e.g., clinical trial dossiers, individual patient data, or unpublished studies) in a synthesis, it is difficult to secure the necessary permissions or access agreements within the query timeline, despite the best efforts of our knowledge users. To mitigate these data access issues in later queries, MAGIC increased engagement activities with the DSEN knowledge users at Health Canada and began transparently identifying potential data access challenges early in our query feasibility assessments. We also worked with CIHR to identify, document and track these issues to support ongoing efforts to facilitate data access within Canada and internationally.
Future directions for DSEN are being considered. Recently, CADTH assumed leadership of DSEN from the CIHR. MAGIC will continue to answer queries posed by the knowledge users through the DSEN portfolio, as well as other CIHR-funded initiatives (e.g., SPOR Evidence Alliance (SPOR EA 2021)). MAGIC has also identified several innovative methodologic areas for future focus including automation of the review processes, ensuring that justice, equity, diversity, and inclusion are considered in reviews, and advancing methods for engaging patients and citizens, as well as open science.

Conclusions

Canada is internationally recognised in the field of drug safety and effectiveness. The investment in DSEN has yielded valuable results including a pipeline of highly trained researchers who are embedded in industry, government, and academia. MAGIC is a pan-Canadian team of DSEN investigators with world-renowned expertise in knowledge synthesis, biostatistics, knowledge translation, clinical epidemiology, sex and gender analysis, and health economics. Since 2011, MAGIC team members have conducted 92 associated methods projects (non-DSEN funded) and corresponded to 62 queries that are completed and ongoing. We enhance pharmacovigilance in Canada using a broad range of knowledge synthesis methods and deliver evidence-based knowledge translation products. Our capacity-building initiatives have resulted in increased knowledge and awareness of knowledge synthesis methods and trainees who have entered academia, industry, and government. Moreover, the research produced has led to practice and policy change nationally and internationally.

Funding

SES is funded by a Tier 1 Canada Research Chair in Knowledge Translation. ACT is funded by a Tier 2 Canada Research Chair in Knowledge Synthesis.

Conflict of interest

All coauthors declare they have no conflicts of interest. Dr. Moher is an Associate Editor for FACETS and was not involved with the peer review of this manuscript or decision to publish.

Data availability statement

The full dataset (e.g., including queries, knowledge users, results) is available on the DSEN MAGIC website: dsenmagic.com/.

Acknowledgements

The authors would like to thank Shazia Siddiqui and Faryal Khan for helping format the paper and all members of the DSEN MAGIC team.

References

Aromataris EMZ. 2020. JBI Manual for Evidence Synthesis. Section 2.4 The JBI Approach to qualitative synthesis.
Brown S, Hutton B, Clifford T, Coyle D, Grima D, Wells G, et al. 2014. A Microsoft-Excel-based tool for running and critically appraising network meta-analyses—an overview and application of NetMetaXL. Systematic Reviews, 3(1): 110.
CADTH. 2011. Grey Matters: A practical search tool for evidence-based medicine. In: CADTH. Canada. [online]: Available from cadth.ca/resources/grey-matters.
CADTH. 2016. Drugs for chronic hepatitis C infection: clinical review. 1b. Ottawa. [online]: Available from cadth.ca/sites/default/files/pdf/TROOO8_Summary_e.pdf
Caldwell DM, Ades AE, and Higgins JP. 2005. Simultaneous comparison of multiple treatments: combining direct and indirect evidence. The BMJ, 331(7521): 897–900.
Cameron C, Fireman B, Hutton B, Clifford T, Coyle D, Wells G, et al. 2015. Network meta-analysis incorporating randomized controlled trials and non-randomized comparative cohort studies for assessing the safety and effectiveness of medical treatments: challenges and opportunities. Systematic Reviews, 4(1): 147.
CIHR. A Guide to Knowledge Synthesis. 2010. Government of Canada [online]: Available from cihr-irsc.gc.ca/e/41382.html.
DSEN. Drug Safety and Effectiveness Network. 2020. Government of Canada: Canadian Institutes of Health Research. [online]: Available from cihr-irsc.gc.ca/e/40269.html.
DSEN MAGIC. 2021 Drug Safety and Effectiveness Network: Methods and Application Group for Indirect Comparisons. [online]: Available from dsenmagic.com/.
GRADEpro. 2021. [online]: Available from gradepro.org/.
Graham ID, Logan J, Harrison MB, Straus SE, Tetroe J, Caswell W, et al. 2006. Lost in knowledge translation: time for a map? J Contin Educ Health Prof, 26(1): 13–24.
Higgins JPT, Chandler J Cumpston M, Li T, Page MJ, and Welch VA (editors). 2021. Cochrane Handbook for Systematic Reviews of Interventions version 6.2 (updated February 2021). Cochrane, 2021. [online]: Available from training.cochrane.org/handbook.
Hutton B, Salanti G, Caldwell DM, Chaimani A, Schmid CH, Cameron C, et al. 2015. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med, 162(11): 777–784.
Knowledge Translation Program. What Review is Right for You? 2019. [online]: Available from whatreviewisrightforyou.knowledgetranslation.net/.
OSF. Open Science Framework. 2021. [online]: Available from osf.io/.
Pease C, Hutton B, Yazdi F, Wolfe D, Hamel C, Barbeau P, et al. 2018. A systematic review of adverse events of rifapentine and isoniazid compared to other treatments for latent tuberculosis infection. Pharmacoepidemiology and Drug Safety, 27(6): 557–566.
Pease C, Hutton B, Yazdi F, Wolfe D, Hamel C, Quach P, et al. 2017. Efficacy and completion rates of rifapentine and isoniazid (3HP) compared to other treatment regimens for latent tuberculosis infection: a systematic review with network meta-analyses. BMC Infectious Diseases, 17(1): 265.
Peters MDJ, Godfrey C, McInerney P, Munn Z, Tricco AC, Khalil, H. 2020. Chapter 11: Scoping Reviews (2020 version). In: Aromataris E, Munn Z (Editors). JBI Manual for Evidence Synthesis, JBI, 2020. [online]: Available from synthesismanual.jbi.global.
Pham B, Jovanovic J, Bagheri E, Antony J, Ashoor H, Nguyen TT, et al. 2021. Text mining to support abstract screening for knowledge syntheses: a semi-automated workflow. Systematic Reviews, 10(1): 156.
PROSPERO. 2021. [online]: Available from crd.york.ac.uk/prospero/.
Sambunjak D, Straus SE, and Marusic A. 2010. A systematic review of qualitative research on the meaning and characteristics of mentoring in academic medicine. Journal of General Internal Medicine, 25(1): 72–78.
Sambunjak D, Straus SE, and Marusić A. 2006. Mentoring in academic medicine: a systematic review. Jama, 296(9): 1103–1115.
Shamseer L, Moher D, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. 2015. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ : British Medical Journal, 349: g7647. [online]: Available from bmj.com/content/bmj/349/bmj.g7647.full.pdf.
SPOR EA. SPOR Evidence Alliance 2021. [online]: Available from sporevidencealliance.ca/.
Sterne JAC, Savović J, Page MJ, Elbers RG, Blencowe NS, Boutron I, et al. 2019. RoB 2: a revised tool for assessing risk of bias in randomised trials. The BMJ, 366: l4898.
Straus S, and Sackett D. 2013. Mentorship in Academic Medicine. John Wiley & Sons, Ltd.
Straus SE, Brouwers M, Johnson D, Lavis JN, Légaré F, Majumdar SR, et al. 2011a. Core competencies in the science and practice of knowledge translation: description of a Canadian strategic training initiative. Implementation Science : IS, 6: 127.
Straus SE, Tetroe JM, and Graham ID. 2011b. Knowledge translation is the use of knowledge in health care decision making. J Clin Epidemiol, 64(1): 6–10.
Straus SE, Tetroe J, and Graham ID. 2013. Knowledge Translation in Health Care. Wiley Online Library.
Strifler L, Cardoso R, McGowan J, Cogo E, Nincic V, Khan PA, et al. 2018. Scoping review identifies significant number of knowledge translation theories, models, and frameworks with limited use. J Clin Epidemiol, 100: 92–102.
Synthesi.SR. 2014. [online]: Available from breakthroughkt.ca/login.php.
Tricco AC, Ashoor HM, Antony J, Beyene J, Veroniki AA, Isaranuwatchai W, et al. 2014. Safety, effectiveness, and cost effectiveness of long acting versus intermediate acting insulin for patients with type 1 diabetes: systematic review and network meta-analysis. The BMJ, 349: g5459.
Tricco AC, Antony J, Zarin W, Strifler L, Ghassemi M, Ivory J, et al. 2015. A scoping review of rapid review methods. BMC Medicine, 13: 224.
Tricco AC, Lillie E, Zarin W, O’Brien K, Colquhoun H, Kastner M, et al. 2016a. A scoping review on the conduct and reporting of scoping reviews. BMC Medical Research Methodology, 16: 15.
Tricco AC, Soobiah C, Antony J, Cogo E, MacDonald H, Lillie E, et al. 2016b. A scoping review identifies multiple emerging knowledge synthesis methods, but few studies operationalize the method. J Clin Epidemiol, 73: 19–28.
Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. 2018. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann Intern Med, 169(7): 467–473.
Tricco AC, Langlois EV, and Straus SE, (editors). 2017. Rapid reviews to strengthen health policy and systems: a practical guide. Geneva: World Health Organization. Licence: CC BY-NC-SA 3.0 IGO.
Tricco A, Ashoor A, Antony J, Bouck Z, Rodrigues M, Pham P, et al. 2021a. Comparative Efficacy and Safety of Intermediate-acting, Long-acting and Biosimilar insulins for Type 1 Diabetes Mellitus. WHO.
Tricco AC, Ashoor HM, Antony J, Bouck Z, Rodrigues M, Pham B, et al. 2021b. Comparative Efficacy and Safety of Ultra-Long-Acting, Long-Acting, Intermediate-Acting, and Biosimilar Insulins for Type 1 Diabetes Mellitus: a Systematic Review and Network Meta-Analysis. Journal of General Internal Medicine
Veroniki AA, Straus SE, Fyraridis A, and Tricco AC. 2016. The rank-heat plot is a novel way to present the results from a network meta-analysis including multiple outcomes. J Clin Epidemiol, 76: 193–199.
Veroniki AA, Vasiliadis HS, Higgins JP, and Salanti G. 2013. Evaluation of inconsistency in networks of interventions. International Journal of Epidemiology, 42(1): 332–345.
Wong WWL, Lee KM, Singh S, Wells G, Feld JJ, and Krahn M. 2017. Drug therapies for chronic hepatitis C infection: a cost-effectiveness analysis. CMAJ Open, 5(1): E97–E108. [online]: Available from cmajopen.ca/content/cmajo/5/1/E97.full.pdf.

Supplementary material

Supplementary Material 1

Information & Authors

Information

Published In

cover image FACETS
FACETS
Volume 7Number 1January 2022
Pages: 809 - 821
Editor: Yann Joly

History

Received: 10 September 2021
Accepted: 6 January 2022
Version of record online: 26 May 2022

Key Words

  1. drug safety and effectiveness
  2. knowledge synthesis
  3. patient-oriented research
  4. knowledge translation

Sections

Subjects

Plain Language Summary

Partnering with research users to answer their critical research questions.

Authors

Affiliations

Sharon E. Straus [email protected]
Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, 209 Victoria Street, East Building, Toronto, ON M5B 1T8, Canada
Department of Geriatric Medicine, University of Toronto, 27 King’s College Circle, Toronto, ON M5S 1A1, Canada
Brian Hutton
Ottawa Hospital Research Institute; University of Ottawa School of Epidemiology and Public Health, 1053 Carling Ave, Ottawa, ON K1Y 4E9, Canada
David Moher
Ottawa Hospital Research Institute; University of Ottawa School of Epidemiology and Public Health, 1053 Carling Ave, Ottawa, ON K1Y 4E9, Canada
Shannon E. Kelly
School of Epidemiology and Public Health, University of Ottawa. Alta Vista Campus, 101-600 Peter Morand Crescent, Ottawa, ON K1G5Z3, Canada
Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, 40 Ruskin St, Ottawa, ON, K1Y 4W7 Canada
George A. Wells
School of Epidemiology and Public Health, University of Ottawa. Alta Vista Campus, 101-600 Peter Morand Crescent, Ottawa, ON K1G5Z3, Canada
Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, 40 Ruskin St, Ottawa, ON, K1Y 4W7 Canada
Andrea C. Tricco
Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, 209 Victoria Street, East Building, Toronto, ON M5B 1T8, Canada
Epidemiology Division, Dalla Lana School of Public Health and Institute for Health, Management, and Evaluation, University of Toronto, 6th Floor, 155 College Street, Toronto, ON M5T 3M7, Canada
Queen’s Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, School of Nursing, Queen’s University, 92 Barrie Street, Kingston, ON K7L 3N6, Canada

Author Contributions

All wrote the first draft of the paper, and the coauthors provided several iterations of critical revisions. All authors read and approved the final version of the paper.

Metrics & Citations

Metrics

Other Metrics

Citations

Cite As

Export Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

There are no citations for this item

View Options

View options

PDF

View PDF

Media

Media

Other

Tables

Share Options

Share

Share the article link

Share on social media