Systematic Evidence Map Research Articles

Application of a unified probabilistic framework to the dose-response assessment of acrolein

BackgroundIn quantitative chemical risk assessment, a reference value is an estimate of an exposure to a chemical that is “likely to be without appreciable risk.” Because current “deterministic” approaches do not quantitatively characterize the likelihood or severity of harm, the National Academies has recommended using reference values derived from a risk-specific dose that are treated as random variables, with probability distributions characterizing uncertainty and variability. ObjectivesIn order to build familiarity and address issues needed for routine and standardized derivation of probabilistic risk-specific dose distributions, a case example applying the unified probabilistic framework presented in Chiu and Slob (2015) is developed for acrolein. This case study is based on an updated systematic evidence map of literature (Keshava et al., 2020) identifying nasal lesions reported in Dorman et al. (2008) as the most appropriate endpoint and study for reference value derivation. MethodsThe probability distribution was calculated for the risk-specific dose, which in this implementation of the approach was calculated for the dose at which 1% of the human population is estimated to experience minimal lesions, and a probabilistic reference value was computed as the 5th percentile of this distribution. A deterministic reference value was also derived for comparison, and a sensitivity analysis of the probabilistic reference value was conducted investigating alternative assumptions for the point of departure type and exposure duration. ResultsThe probabilistic reference value of 6 × 10−4 mg/m3 was slightly lower than the deterministic reference value of 8 × 10−4 mg/m3, and the risk-specific dose distribution had an uncertainty spanning a factor of 137 (95th-5th percentile ratio). Sensitivity analysis yielded slightly higher probabilistic reference values ranging between 9 × 10−4 mg/m3 and 2 × 10−3 mg/m3. ConclusionsUsing a probabilistic approach for deriving a reference value allows quantitative characterization of the severity, incidence, and uncertainty of effects at a given dose. The results can be used to inform risk management decisions and improve risk communication.

Social values and health systems in health policy and systems research: a mixed-method systematic review and evidence map.

Because health systems are conceptualized as social systems, embedded in social contexts and shaped by human agency, values are a key factor in health system change. As such, health systems software—including values, norms, ideas and relationships—is considered a foundational focus of the field of health policy and systems research (HPSR). A substantive evidence-base exploring the influence of software factors on system functioning has developed but remains fragmented, with a lack of conceptual clarity and theoretical coherence. This is especially true for work on ‘social values’ within health systems—for which there is currently no substantive review available. This study reports on a systematic mixed-methods evidence mapping review on social values within HPSR. The study reaffirms the centrality of social values within HPSR and highlights significant evidence gaps. Research on social values in low- and middle-income country contexts is exceedingly rare (and mostly produced by authors in high-income countries), particularly within the limited body of empirical studies on the subject. In addition, few HPS researchers are drawing on available social science methodologies that would enable more in-depth empirical work on social values. This combination (over-representation of high-income country perspectives and little empirical work) suggests that the field of HPSR is at risk of developing theoretical foundations that are not supported by empirical evidence nor broadly generalizable. Strategies for future work on social values in HPSR are suggested, including: countering pervasive ideas about research hierarchies that prize positivist paradigms and systems hardware-focused studies as more rigorous and relevant to policy-makers; utilizing available social science theories and methodologies; conceptual development to build common framings of key concepts to guide future research, founded on quality empirical research from diverse contexts; and using empirical evidence to inform the development of operationalizable frameworks that will support rigorous future research on social values in health systems.

Strengthen causal models for better conservation outcomes for human well-being.

BackgroundUnderstanding how the conservation of nature can lead to improvement in human conditions is a research area with significant growth and attention. Progress towards effective conservation requires understanding mechanisms for achieving impact within complex social-ecological systems. Causal models are useful tools for defining plausible pathways from conservation actions to impacts on nature and people. Evaluating the potential of different strategies for delivering co-benefits for nature and people will require the use and testing of clear causal models that explicitly define the logic and assumptions behind cause and effect relationships.Objectives and methodsIn this study, we outline criteria for credible causal models and systematically evaluated their use in a broad base of literature (~1,000 peer-reviewed and grey literature articles from a published systematic evidence map) on links between nature-based conservation actions and human well-being impacts.ResultsOut of 1,027 publications identified, only ~20% of articles used any type of causal models to guide their work, and only 14 total articles fulfilled all criteria for credibility. Articles rarely tested the validity of models with empirical data.ImplicationsNot using causal models risks poorly defined strategies, misunderstanding of potential mechanisms for affecting change, inefficient use of resources, and focusing on implausible efforts for achieving sustainability.

A Survey of Systematic Evidence Mapping Practice and the Case for Knowledge Graphs in Environmental Health and Toxicology.

Systematic evidence mapping offers a robust and transparent methodology for facilitating evidence-based approaches to decision-making in chemicals policy and wider environmental health (EH). Interest in the methodology is growing; however, its application in EH is still novel. To facilitate the production of effective systematic evidence maps for EH use cases, we survey the successful application of evidence mapping in other fields where the methodology is more established. Focusing on issues of “data storage technology,” “data integrity,” “data accessibility,” and “transparency,” we characterize current evidence mapping practice and critically review its potential value for EH contexts. We note that rigid, flat data tables and schema-first approaches dominate current mapping methods and highlight how this practice is ill-suited to the highly connected, heterogeneous, and complex nature of EH data. We propose this challenge is overcome by storing and structuring data as “knowledge graphs.” Knowledge graphs offer a flexible, schemaless, and scalable model for systematically mapping the EH literature. Associated technologies, such as ontologies, are well-suited to the long-term goals of systematic mapping methodology in promoting resource-efficient access to the wider EH evidence base. Several graph storage implementations are readily available, with a variety of proven use cases in other fields. Thus, developing and adapting systematic evidence mapping for EH should utilize these graph-based resources to ensure the production of scalable, interoperable, and robust maps to aid decision-making processes in chemicals policy and wider EH.

Mapping research in student engagement and educational technology in higher education: a systematic evidence map

Digital technology has become a central aspect of higher education, inherently affecting all aspects of the student experience. It has also been linked to an increase in behavioural, affective and cognitive student engagement, the facilitation of which is a central concern of educators. In order to delineate the complex nexus of technology and student engagement, this article systematically maps research from 243 studies published between 2007 and 2016. Research within the corpus was predominantly undertaken within the United States and the United Kingdom, with only limited research undertaken in the Global South, and largely focused on the fields of Arts & Humanities, Education, and Natural Sciences, Mathematics & Statistics. Studies most often used quantitative methods, followed by mixed methods, with little qualitative research methods employed. Few studies provided a definition of student engagement, and less than half were guided by a theoretical framework. The courses investigated used blended learning and text-based tools (e.g. discussion forums) most often, with undergraduate students as the primary target group. Stemming from the use of educational technology, behavioural engagement was by far the most often identified dimension, followed by affective and cognitive engagement. This mapping article provides the grounds for further exploration into discipline-specific use of technology to foster student engagement.

Sustainable development for global mental health: a typology and systematic evidence mapping of external actors in low-income and middle-income countries

IntroductionMental disorders account for a substantial burden of disease and costs in low-income and middle-income countries (LMICs), but attract few resources. With LMIC governments often under economic pressure, an understanding...

Are all stem cells equal? Systematic review, evidence map, and meta-analyses of preclinical stem cell-based therapies for bronchopulmonary dysplasia.

Regenerative stem cell‐based therapies for bronchopulmonary dysplasia (BPD), the most common preterm birth complication, demonstrate promise in animals. Failure to objectively appraise available preclinical data and identify knowledge gaps could jeopardize clinical translation. We performed a systematic review and network meta‐analysis (NMA) of preclinical studies testing cell‐based therapies in experimental neonatal lung injury. Fifty‐three studies assessing 15 different cell‐based therapies were identified: 35 studied the effects of mesenchymal stromal cells (MSCs) almost exclusively in hyperoxic rodent models of BPD. Exploratory NMAs, for select outcomes, suggest that MSCs are the most effective therapy. Although a broad range of promising cell‐based therapies has been assessed, few head‐to‐head comparisons and unclear risk of bias exists. Successful clinical translation of cell‐based therapies demands robust preclinical experimental design with appropriately blinded, randomized, and statistically powered studies, based on biological plausibility for a given cell product, in standardized models and endpoints with transparent reporting.

Assessing confounding by co-exposure across per- and polyfluoroalkyl substances (PFAS) in a systematic review

TPS 691: Methods of measurement, design and data analysis, Exhibition Hall, Ground floor, August 28, 2019, 3:00 PM - 4:30 PM For classes of highly correlated chemicals (e.g., phthalates, PFAS), interpretation of study results for an individual chemical is complicated by the potential for confounding across the chemicals in its class. Correlations across co-exposures can vary considerably across populations as well as exposure sources and time periods. This can inhibit the ability to differentiate associations for individual chemicals, raising uncertainties for public health protection. Recent research suggests that bias can be amplified in multipollutant regression models especially when highly correlated variables are included together, and thus the solution to this source of uncertainty is not as simple as adding the co-exposures to the model. While methods to address this type of confounding in individual studies are in various stages of development (e.g., weighted quantile sum regression, penalized regression, linear mixed-effects (e.g., LASSO), principle components analysis, Bayesian approaches), they are not in widespread use in the published literature. This presentation will use a systematic review of PFAS to describe the various methods used to consider confounding across highly correlated co-exposures during both evaluation of individual studies and synthesis across the body of evidence. A systematic evidence map summarizing the approaches used in currently published studies of PFAS to address this issue will be presented, along with the criteria for evaluating these approaches in a systematic review. The considerations for looking at confounding across studies will also be described with examples, including comparing results in populations with exposure to different chemical combinations and comparing results based on the analytical approaches used in the studies. Confounding across chemical mixtures remains an important area of uncertainty for both individual studies and systematic reviews. The views expressed in this abstract are those of the authors and do not necessarily reflect the views or policies of the U.S. Environmental Protection Agency.

Brief interventions for cannabis use in emerging adults: A systematic review, meta-analysis, and evidence map

PurposeThis systematic review summarizes and critically appraises the existing literature on brief interventions (BIs) for cannabis use among emerging adults. MethodsEligible BIs were operationalized as 1–2 sessions focused exclusively on cannabis use for samples with mean ages between 15 and 30. Outcomes related to cannabis use, other substance use, mental health, help-seeking, or functional status were included. Two independent reviewers screened a total of 3638 records, identifying 244 studies for full-text screening. In total, 32 BIs in 26 primary studies with 6318 participants were included. ResultsParticipants were typically not seeking treatment and using cannabis at least once a month. Most interventions were motivational, single sessions, and delivered in person. Few discussed concurrent psychiatric conditions. Pooling results at 1–3 months post-intervention, BIs compared to passive control slightly reduced symptoms of cannabis use disorder (SMD −0.14 [95% CI −0.26 to −0.01]) and increased the odds of abstinence (OR 1.73 [95% CI 1.13–2.66]). Other outcome results often favored BIs but were not significant. Results of studies comparing types of BIs (k = 8) or BIs to longer interventions (k = 1) are discussed narratively. Quality assessment suggested low to very low-quality evidence. ConclusionsThis review indicates that BIs targeting non-treatment seeking emerging adults result in significant reductions in symptoms of cannabis use disorder and an increased likelihood of cannabis abstinence, however evidence is of low quality.

Children’s understanding of personal data and privacy online – a systematic evidence mapping

ABSTRACT Privacy is both a protective and an enabling right. This article identifies the available research on how children understand, value and negotiate their personal data and privacy online. The results are interpreted according to a framework that distinguishes different privacy contexts (interpersonal, institutional and commercial) and data types (given, traces and inferred). Our systematic evidence mapping of research published by multiple disciplines in the English language from 2007 to 2019 reveals substantial gaps in current knowledge. First, even though children now use the internet from infancy onwards, very few studies include younger children, impeding regulatory or educational policy and practice tailored to socio-developmental differences among children. Second, the majority of research concerns privacy in interpersonal contexts, with less attention paid to commercial or institutional contexts. Relatedly, most research conceives of data that is deliberately and knowingly provided, with fewer studies recognising that data traces and inferred (or metadata) also matter for children’s privacy. Finally, most empirical studies concern children’s behaviours and practices but much less common are studies of children’s media literacy, especially relating to their capacity to consent to data protection practices. Notwithstanding rising concern over the datafication of childhood, few researchers have investigated the possible harms associated with infringements of children’s privacy online, or the value of any social support children receive. We conclude by calling for a more comprehensive and policy-relevant approach to researching children’s practices and understanding of their online data and the privacy implications of engaging in today’s increasingly commercial digital environment.

Strategies to strengthen the provision of mental health care at the primary care setting: An Evidence Map.

In a deinstitutionalised mental health care system, those with mental illness require complex, multidisciplinary and intersectoral care at the primary or community service setting. This paper describes an Evidence Map of different strategies to strengthen the provision of mental health care at the primary health care (PHC) setting, the quality of the evidence, and knowledge gaps. Electronic and reference searching yielded 2666 articles of which 306 qualified for data extraction. A systematic review methodology identified nine different strategies that strengthen the provision of mental healthcare and these strategies are mapped in line with the outcomes they affect. The top three strategies that were reported the most, included strategies to empower families, carers and patients; integration of care or collaborative interventions; and e-health interventions. The least reported strategy was task shifting. The Evidence Map further shows the amount and quality of evidence supporting each of the listed strategies, and this helps to inform policy design and research priorities around mental health. This is the first systematic Evidence Map to show the different strategies that strengthen the provision of mental healthcare at PHC setting and the impact these strategies have on patient, hospital and societal level indicators.

Stakeholder perceptions and scientific evidence linking wildfire mitigation treatments to societal outcomes

A number of watershed partnerships have emerged in the western US to address the impacts of wildfire through investing in wildfire mitigation activities. To motivate collective action and design effective risk mitigation programs, these stakeholders draw on evidence linking wildfire mitigation to outcomes of interest. To advance knowledge in this area, we 1) assessed the strength of existing scientific evidence linking wildfire mitigation treatments with societal outcomes and 2) measured the importance of this evidence to watershed partnerships in the western US. To address objective one, we created a systematic evidence map to identify the most common wildfire mitigation treatment and societal outcome relationships reported. From the more than 100 studies examined, we found that the most commonly studied linkages were related to the impacts of thinning on infrastructure and timber. To answer objective two, we surveyed 38 professionals affiliated with organizations involved in eight watershed partnerships in the western US. We asked about the relative importance and strength of evidence linking wildfire treatments to societal outcomes for their watershed partnership, and used this information to create an importance-strength analysis and gap analysis. We found that most linkages were considered important to these organizations, and that the biggest gap identified was for evidence linking mulching to water quality or quantity outcomes. Forest and wildfire specialists perceived a larger need for additional evidence generation than other professional groups. Jointly, the results from this study point to areas of evidence generation important for watershed partnerships and other organizations involved in wildfire mitigation, and suggest a need to more thoroughly disseminate information about existing evidence to this new group of stakeholders investing in wildfire risk mitigation.

Patient-Provider Language Concordance and Health Outcomes: A Systematic Review, Evidence Map, and Research Agenda.

Although patient-provider language concordance has the potential to reduce health disparities for people with limited English proficiency, no previous work has synthesized this literature. Our systematic review sought to describe the characteristics of studies examining relationships between language concordance and health outcomes, summarize the nature of observed associations, and propose an evidence map and research agenda. A comprehensive search of published articles identified 38 quantitative studies for inclusion. Most studies were cross-sectional, conducted in primary care, concentrated in Western states, and focused on Spanish speakers and physician providers. Results were split between supporting a positive association versus no association of language concordance with patient behaviors, provider behaviors, interpersonal processes of care, and clinical outcomes. Several methodological limitations were identified. Based on these results, we developed an evidence map, identified knowledge gaps, and proposed a research agenda. There is a particular need for quasi-experimental longitudinal studies with well-characterized samples.

Systematic evidence maps as a novel tool to support evidence-based decision-making in chemicals policy and risk management

BackgroundWhile systematic review (SR) methods are gaining traction as a method for providing a reliable summary of existing evidence for health risks posed by exposure to chemical substances, it is becoming clear that their value is restricted to a specific range of risk management scenarios - in particular, those which can be addressed with tightly focused questions and can accommodate the time and resource requirements of a systematic evidence synthesis. MethodsThe concept of a systematic evidence map (SEM) is defined and contrasted to the function and limitations of systematic review (SR) in the context of risk management decision-making. The potential for SEMs to facilitate evidence-based decision-making are explored using a hypothetical example in risk management priority-setting. The potential role of SEMs in reference to broader risk management workflows is characterised. ResultsSEMs are databases of systematically gathered research which characterise broad features of the evidence base. Although not intended to substitute for the evidence synthesis element of systematic reviews, SEMs provide a comprehensive, queryable summary of a large body of policy relevant research. They provide an evidence-based approach to characterising the extent of available evidence and support forward looking predictions or trendspotting in the chemical risk sciences. In particular, SEMs facilitate the identification of related bodies of decision critical chemical risk information which could be further analysed using SR methods, and highlight gaps in the evidence which could be addressed with additional primary studies to reduce uncertainties in decision-making. ConclusionsSEMs have strong and growing potential as a high value tool in resource efficient use of existing research in chemical risk management. They can be used as a critical precursor to efficient deployment of high quality SR methods for characterising chemical health risks. Furthermore, SEMs have potential, at a large scale, to support the sort of evidence summarisation and surveillance methods which would greatly increase the resource efficiency, transparency and effectiveness of regulatory initiatives such as EU REACH and US TSCA.

Government policy interventions to reduce human antimicrobial use: A systematic review and evidence map.

BackgroundGrowing political attention to antimicrobial resistance (AMR) offers a rare opportunity for achieving meaningful action. Many governments have developed national AMR action plans, but most have not yet implemented policy interventions to reduce antimicrobial overuse. A systematic evidence map can support governments in making evidence-informed decisions about implementing programs to reduce AMR, by identifying, describing, and assessing the full range of evaluated government policy options to reduce antimicrobial use in humans.Methods and findingsSeven databases were searched from inception to January 28, 2019, (MEDLINE, CINAHL, EMBASE, PAIS Index, Cochrane Central Register of Controlled Trials, Web of Science, and PubMed). We identified studies that (1) clearly described a government policy intervention aimed at reducing human antimicrobial use, and (2) applied a quantitative design to measure the impact. We found 69 unique evaluations of government policy interventions carried out across 4 of the 6 WHO regions. These evaluations included randomized controlled trials (n = 4), non-randomized controlled trials (n = 3), controlled before-and-after designs (n = 7), interrupted time series designs (n = 25), uncontrolled before-and-after designs (n = 18), descriptive designs (n = 10), and cohort designs (n = 2). From these we identified 17 unique policy options for governments to reduce the human use of antimicrobials. Many studies evaluated public awareness campaigns (n = 17) and antimicrobial guidelines (n = 13); however, others offered different policy options such as professional regulation, restricted reimbursement, pay for performance, and prescription requirements. Identifying these policies can inform the development of future policies and evaluations in different contexts and health systems. Limitations of our study include the possible omission of unpublished initiatives, and that policies not evaluated with respect to antimicrobial use have not been captured in this review.ConclusionsTo our knowledge this is the first study to provide policy makers with synthesized evidence on specific government policy interventions addressing AMR. In the future, governments should ensure that AMR policy interventions are evaluated using rigorous study designs and that study results are published.Protocol registrationPROSPERO CRD42017067514.

The effect of culinary interventions (cooking classes) on dietary intake and behavioral change: a systematic review and evidence map

BackgroundCulinary interventions (cooking classes) have been used to improve the quality of dietary intake and change behavior. The aim of this systematic review is to investigate the effects of culinary interventions on dietary intake and behavioral and cardiometabolic outcomes.MethodsWe conducted a systematic review of MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Scopus for comparative studies that evaluated culinary interventions to a control group or baseline values. The intervention was defined as a cooking class regardless of its length or delivery approach. Studies included populations of children, healthy adults or adults with morbidities. The risk of bias was assessed using the Cochrane Risk of Bias tool and the Newcastle-Ottawa Scale. Outcomes were pooled using the random-effects model and descriptive statistics and depicted in an evidence map. Simple logistic regression was used to evaluate factors associated with intervention success.ResultsWe included 30 studies (6 were randomized, 7381 patients, average follow up 25 weeks). Culinary interventions were not associated with a significant change in body mass index (− 0.07 kg/m2, 95% CI: -1.53, 1.40), systolic (− 5.31 mmHg, 95% CI: -34.2, 23.58) or diastolic blood pressure (− 3.1 mmHg, 95% CI: -23.82, 17.62) or LDL cholesterol (− 8.09 mg/dL, 95% CI: -84.43, 68.25). Culinary interventions were associated with improved attitudes, self-efficacy and healthy dietary intake in adults and children. We were unable to demonstrate whether the effect of a culinary intervention was modified by various characteristics of the intervention such as its delivery or intensity. Interventions with additional components such as education on nutrition, physical activity or gardening were particularly effective.ConclusionsCulinary interventions were not associated with a significant change in cardiometabolic risk factors, but were associated with improved attitudes, self-efficacy and a healthier dietary intake in adults and children.

Treatment of stable chronic obstructive pulmonary disease: protocol for a systematic review and evidence map

IntroductionChronic obstructive pulmonary disease (COPD) is a progressive lung disease, usually caused by tobacco smoking, but other important risk factors include exposures to combustion products of biomass fuels and environmental...

Effects of different oral care scrubs on ventilator-associated pneumonia prevention for machinery ventilates patient: A protocol for systematic review, evidence mapping, and network meta-analysis.

Background:Ventilator-associated pneumonia (VAP) is defined as pneumonia develops in intensive care unit (ICU) patients who have been mechanically ventilated for at least 48 hours. Implementing effective oral car could reduce the incidence of VAP. However, previous studies on scrubs in oral care have failed to suggest which the best choice. Therefore, this protocol proposes to perform a network meta-analysis to evaluate the effectiveness of different oral care scrubs in preventing VAP.Methods:We are going to search the electronic databases: Cochrane Oral Health's Trials Register, CENTRAL, MEDLINE, EMBASE, CINAHL, and Chinese Biomedical Literature Database. Study selection and data collection will be performed independently by 2 reviewers. Cochrane Risk of Bias tool will be used to assess the risk of bias of included studies. Odds ratio (OR) and 95% confidence intervals (CIs) will be used to assess the incidence rate of VAP in critical patients. The evidence mapping (EM) method will be introduce as a tool intended to complement the conventional systematic review (SR) and is suitable for this issue, at the same time, R software will be used for representing the outcome of EM–SR. We shall assess the heterogeneity on the bias of the magnitude of heterogeneity variance parameter (I2 or Cochrane Q). We are also going to conduct subgroup analysis and sensitivity analysis if needed. The application of Stata and R software will be performed the calculations.Results:The results of this study will be submitted to a peer-reviewed journal for publication.Conclusion:This network meta-analysis will provide comprehensive evidence of different scrubs in oral care for preventing VAP.PROSPERO registration number:CRD42018117019.

Telehealth Interventions Designed for Women: an Evidence Map

Telehealth employs technology to connect patients to the right healthcare resources at the right time. Women are high utilizers of healthcare with gender-specific health issues that may benefit from the convenience and personalization of telehealth. Thus, we produced an evidence map describing the quantity, distribution, and characteristics of evidence assessing the effectiveness of telehealth services designed for women. We searched MEDLINE® (via PubMed®) and Embase® from inception through March 20, 2018. We screened systematic reviews (SRs), randomized trials, and quasi-experimental studies using predetermined eligibility criteria. Articles meeting inclusion criteria were identified for data abstraction. To assess emerging trends, we also conducted a targeted search of ClinicalTrials.gov . Two hundred thirty-four primary studies and three SRs were eligible for abstraction. We grouped studies into focused areas of research: maternal health (n = 96), prevention (n = 46), disease management (n = 63), family planning (n = 9), high-risk breast cancer assessment (n = 10), intimate partner violence (n = 7), and mental health (n = 3). Most interventions focused on phone as the primary telehealth modality and featured healthcare team-to-patient communication and were limited in duration (e.g., < 12weeks). Few interventions were conducted with older women (≥ 60years) or in racially/ethnically diverse populations. There are few SRs in this area and limited evidence regarding newer telehealth modalities such as mobile-based applications or short message service/texting. Targeted search of clinical.trials.gov yielded 73 ongoing studies that show a shift in the use of non-telephone modalities. Our systematic evidence map highlights gaps in the existing literature, such as a lack of studies in key women's health areas (intimate partner violence, mental health), and a dearth of relevant SRs. With few existing SRs in this literature, there is an opportunity for examining effects, efficiency, and acceptability across studies to inform efforts at implementing telehealth for women.

Brief interventions for cannabis use in emerging adults: protocol for a systematic review, meta-analysis, and evidence map

BackgroundRates of cannabis use are highest during emerging adulthood (age 18–25), with the prevalence of near daily and daily increasing among this age group. Emerging adults are clinically challenging in terms of harmful cannabis use due to perceptions of high rates of peer use, social acceptance, and low risk of harm. Brief interventions to increase awareness and promote motivation to change are therefore particularly important for this age group. There is existing evidence on the effectiveness of brief interventions for alcohol in emerging adults, but it is not clear if comparable evidence is present for cannabis. The objective of this systematic review is to summarize and critically appraise the existing literature of brief interventions for cannabis use both narratively, to describe the content and delivery of existing interventions, and meta-analytically, to determine the aggregated efficacy of these interventions on cannabis use and other outcomes (e.g., other substance use, mental health, help-seeking behaviors, and academic and occupational outcomes).MethodsA systematic search of randomized controlled trials, quasi-experimental trials, and pre-post designs will be conducted in the following electronic databases: MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, Allied and Complementary Medicine, Cumulative Index to Nursing and Allied Health Literature, and PsycINFO. Ongoing trials will be identified using the World Health Organization International Clinical Trials Registry Platform, ClinicalTrials.gov, and Current Controlled Trials. Unpublished trials will be identified using Proquest Dissertations, OpenGrey, Google Scholar, and brief interventions on the Substance Abuse and Mental Health Services Administration webpage. Two authors will independently screen and extract data from articles using a predetermined screening and extraction forms (which will include risk of bias assessments). Calibration exercises will be performed prior to full screening and extraction. Disagreements will be resolved through discussion or consultation with a third reviewer. All studies will be reported narratively, and if appropriate, we will perform random effects meta-analyses with subgroup analyses and meta-regression.DiscussionResults of this review are expected to provide guidance on the content, delivery methods, and effectiveness of brief interventions for cannabis use to assist post-secondary institutions in identifying brief intervention strategies to implement prior to or in response to legalization.Systematic review registrationCRD42018085412