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. 2019 Jan 25;4(Suppl 1):e000848.
doi: 10.1136/bmjgh-2018-000848. eCollection 2019.

Considerations of complexity in rating certainty of evidence in systematic reviews: a primer on using the GRADE approach in global health

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Considerations of complexity in rating certainty of evidence in systematic reviews: a primer on using the GRADE approach in global health

Paul Montgomery et al. BMJ Glob Health. .

Abstract

Public health interventions and health technologies are commonly described as 'complex', as they involve multiple interacting components and outcomes, and their effects are largely influenced by contextual interactions and system-level processes. Systematic reviewers and guideline developers evaluating the effects of these complex interventions and technologies report difficulties in using existing methods and frameworks, such as the Grading of Recommendations Assessment, Development and Evaluation (GRADE). As part of a special series of papers on implications of complexity in the WHO guideline development, this paper serves as a primer on how to consider sources of complexity when using the GRADE approach to rate certainty of evidence. Relevant sources of complexity in systematic reviews, health technology assessments and guidelines of public health are outlined and mapped onto the reported difficulties in rating the estimates of the effect of these interventions. Recommendations on how to address these difficulties are further outlined, and the need for an integrated use of GRADE from the beginning of the review or guideline development is emphasised. The content of this paper is informed by the existing GRADE guidance, an ongoing research project on considering sources of complexity when applying the GRADE approach to rate certainty of evidence in systematic reviews and the review authors' own experiences with using GRADE.

Keywords: public health; systematic review.

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Conflict of interest statement

Competing interests: All authors are current members of the GRADE Working Group. SPG’s spouse is a salaried employee of Eli Lilly and Company and owns stock. SPG has accompanied his spouse on company-sponsored travels.

Figures

Figure 1
Figure 1
Example chain of evidence approach: screening and interventions for overweight in childhood. Arrow 1: Is there direct evidence that screening (and intervention) for overweight in childhood improves age-appropriate behavioural or physiological measures or health outcomes? Arrow 2: (1) What are appropriate standards for overweight in childhood, and what is prevalence of overweight based on these? (2) What clinical screening tests for overweight in childhood are reliable and valid in predicting obesity in childhood? (3) What clinical screening tests for overweight in childhood are reliable and valid in predicting poor health outcomes in adulthood? Arrow 3: What are the adverse effects of screening, including labelling? Is screening acceptable to patients? Arrow 4: (1) Do weight control interventions lead to improved intermediate outcomes? (2) What are common behavioural and health system elements of efficacious interventions? (3) Are there differences in efficacy between patient subgroups? Arrow 5: Do weight control interventions lead to improved health outcome and/or improved functioning? Arrow 6: What are the adverse effects of interventions? Are interventions acceptable to patients? Arrow 7: Are improvements in intermediate outcomes associated with improved health outcomes? (Only evaluated if there is no direct evidence for link 1 or link 5 and if there is sufficient evidence for link 4). BMI, body mass index. Taken from Whitlock et al, 2005.

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