Contributions to the literature
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Policies in the area of nutrition and physical activity should be based on the best available scientific evidence in order to have the best possible impact.
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The GRADE approach is a tool to form trustworthy evidence-informed recommendations; thus, it may contribute to improving the process of evidence-informed policymaking. It is already being used in policy evaluation, in evaluations of effectiveness, and in the development of guidelines.
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This research did not reveal actual policies or formulation processes from governmental bodies so future research should focus on assessing the views of policymakers on the usefulness of GRADE to inform their decisions.
Background
Definition of policy in this scoping review: • Decisions, plans, and actions that are undertaken to achieve specific health care goals within a society (World Health Organization and Policy Evaluation Network) [6, 7]. • A policy can be seen as a macro-level intervention or is followed by an intervention. • A policy is supposed to change a system not an individual (addresses group of people) [8]. A policy that has a positive effect on one issue can have a negative effect on another issue at the same time. Distinctions made for identified document types: • Policy evaluation: evaluation of macro-level laws/regulations, adopted and implemented at the level of geographically defined political or administrative units, such as supra-national organizations, states, regions, or municipalities. • Evidence of effectiveness for policymaking: assessment of interventions or evidence on information which has the potential to become a policy intervention. • Recommendations to guide policymaking: guidelines and recommendations by institutions to adopt or implement interventions which have the potential to become a policy. |
Methods
Search strategy
Inclusion criteria
Exclusion criteria
Selection process of sources of evidence
Data extraction
Data categorization and presentation
Author | Document type | Aim | Policy (intervention) | Setting |
---|---|---|---|---|
Al-Khudairy et al. [23] | Evidence of effectiveness for policymaking (non-governmental) | To assess the effects of diet, physical activity and behavioral interventions for the treatment of overweight or obese adolescents aged 12 to 17 years. | School program | Schools, population level |
Baker et al. [24] | Evidence of effectiveness for policymaking (non-governmental) | To assess the effects of community-wide, multi-strategic interventions upon community levels of physical activity. | Mass media, school programs, infrastructure | Schools, communities |
Balogun et al. [25] | Evidence of effectiveness for policymaking (non-governmental) | To examine interventions which aim to encourage women to breastfeed. | Mass media | Population level |
Carducci et al. [26] | Evidence of effectiveness for policymaking (non-governmental) | To understand the impact of food environment interventions on diet-related health outcomes in school-age children and adolescents. | Nutrition labeling, change in offerings, school program, mass media, infrastructure | Schools, workplace, communities, population level |
Crockett et al. [27] | Policy evaluation (non-governmental) | To examine whether nutritional labels (i.e., labels providing information about nutritional content) persuade people to buy or consume different (healthy) kinds of food. | Nutrition labeling | Population level |
Cushing et al. [28] | Evidence of effectiveness for policymaking (non-governmental) | To evaluate the overall effectiveness of health promotion interventions in children and adolescents. | Portion size, change in offerings, school program | Communities, schools, population level |
Dobbins et al. [29] | Evidence of effectiveness for policymaking (non-governmental) | To summarize the evidence of the effectiveness of school-based interventions in promoting physical activity and fitness in children and adolescents. | School program, infrastructure | Schools |
Dyson et al. [30] | Recommendations to guide policymaking (non-governmental) | To present the latest evidence-based nutrition guidelines for the prevention and management of diabetes. | Population education | Population level |
Elvsaas et al. [31] | Evidence of effectiveness for policymaking (non-governmental) | To assess the effect of multicomponent lifestyle interventions including two or more lifestyle components on change in BMI in children and adolescents. | School program, mass media infrastructure | Schools, population level |
Erickson et al. [32] | Evidence of effectiveness for policymaking (non-governmental) | To systematically review guidelines on sugar intake and assess consistency of recommendations, methodological quality of guidelines, and the quality of evidence supporting each recommendation. | Population education | Population level |
Flatz et al. [33] | Evidence of effectiveness for policymaking (non-governmental) | To determine the effectiveness of interventions implemented through sporting organizations to promote physical activity, healthy diet, reductions in alcohol consumption or tobacco use. | Mass media | Population level |
Freak-Poli et al. [34] | Evidence of effectiveness for policymaking (non-governmental) | To assess the effectiveness of pedometer interventions in the workplace for increasing physical activity and improving subsequent health outcomes. | Financial incentive, infrastructure | Workplace |
Heise et al. [35] | Policy evaluation (governmental) | To assess the effects of taxation of SSBs, on SSB consumption, energy intake, overweight, obesity, and other adverse health outcomes in the general population. | Financial incentive | Population level |
Heise et al. [36] | Evidence of effectiveness for policymaking (non-governmental) | To assess the effectiveness of voluntary participation in community gardening compared on overweight/obesity and associated health outcomes. | School program, infrastructure | Population level, Schools |
Hodder et al. [37] | Evidence of effectiveness for policymaking (non-governmental) | To assess the effectiveness, cost-effectiveness, and associated adverse events of interventions designed to increase the consumption of fruit, vegetables, or both among children aged 5 years and under. | Change of offerings, school program, infrastructure | Population level, schools |
Hollands et al. [38] | Evidence of effectiveness for policymaking (non-governmental) | To assess the effects of interventions involving exposure to different sizes or sets of physical dimensions of a portion, package, individual unit, or item of tableware on unregulated selection or consumption of food, alcohol, or tobacco products in adults and children. | Portion/package size | Population level |
Langford et al. [39] | Policy evaluation (non-governmental) | To assess the effectiveness of the WHO Health Promoting Schools (HPS) framework in improving the health and well-being of students and their academic achievement. | WHO program: Health Promoting Schools: School program, population education, infrastructure, change in offerings | Schools, population level |
Lhachimi et al. [40] | Policy evaluation (governmental) | To assess the effects of taxation of fat content in food on consumption of total fat and saturated fat, energy intake, overweight, obesity, and other adverse health outcomes in the general population. | Financial incentives | Population level |
Martin et al. [41] | Evidence of effectiveness for policymaking (non-governmental) | To evaluate the effect of interventions which included an SB outcome measure in adults. | Financial incentives, infrastructure | Workplace, population level |
Matwiejczyk et al. [42] | Evidence of effectiveness for policymaking (non-governmental) | To examine (1) the effectiveness of interventions to promote healthy eating in children aged 2–5 years attending center-based childcare; (2) intervention characteristics which are associated with successfully promoting healthy eating in pre-schoolers; and (3) recommendations for child-health directed policies and practices. | School program, change in offerings, population education | Schools |
McLaren et al. [43] | Policy evaluation (governmental) | To assess the impact of population-level interventions for dietary sodium reduction in government jurisdictions worldwide and to assess the differential impact of those initiatives by social and economic indicators. | Change in offerings, Nutrition labeling | Population level |
Mosdol et al. [44] | Evidence of effectiveness for policymaking (non-governmental) | To determine the effect of mass media interventions targeting adult, ethnic minorities with messages about physical activity, dietary patterns, tobacco use, or alcohol consumption to reduce risk of NCDs. | Mass media | Population level |
NICE [45] | Recommendations to guide policymaking (non-governmental) | To improve the physical environment to encourage and support physical activity. The aim is to increase the general population’s physical activity levels. | Population education | Population level |
Oakman et al. [46] | Evidence of effectiveness for policymaking (non-governmental) | To assess systematically the available evidence on the effectiveness of work-based interventions on the work ability of employees. | (Financial) incentives, infrastructure | Workplace |
Okely et al. [47] | Recommendations to guide policymaking (non-governmental) | To outline the process and outcomes for adapting the Canadian 24-Hour Movement Guidelines for the Early Years to develop the Australian 24-Hour Movement Guidelines for the Early Years guided by the GRADE-ADOLOPMENT framework. | Population education | Population level |
Pfinder et al. [48] | Policy evaluation (governmental) | To assess the effects of taxation of unprocessed sugar or sugar-added foods in the general population on the following: 1. Consumption of unprocessed sugar or sugar-added foods; 2. Prevalence and incidence of overweight and obesity; and 3. Prevalence and incidence of diet-related health conditions. | Financial incentive | Population level |
von Philipsborn et al. [49] | Policy evaluations (governmental) | To assess the effects of environmental interventions (excluding taxation) targeted at sugar-sweetened beverages or low-calorie alternatives to sugar-sweetened beverages on consumption levels, diet-related anthropometric measures, and health outcomes, and on any reported unintended consequences or adverse outcomes. | Nutrition labeling | Population level |
Salam et al. [50] | Evidence of effectiveness for policymaking (non-governmental) | To assess the impact of lifestyle interventions (including dietary interventions, physical activity, behavioral therapy or any combination of these interventions) along with the contextual factors to prevent and manage childhood and adolescent obesity. | Change in offerings, school program | Schools, communities, population level |
Shrestha et al. [51] | Evidence of effectiveness for policymaking (non-governmental) | To evaluate the effectiveness of workplace interventions to reduce sitting at work. | Infrastructure, population education | Workplace |
Tremblay et al. [52] | Recommendations to guide policymaking (non-governmental) | To outline the process and outcomes for the development of the first Canadian Physical Activity Guidelines for the Early Years (aged 0–4 years) and to provide a summary of this process and present the guidelines themselves. | Population education | Population level |
Tremblay et al. [53] | Recommendations to guide policymaking (non-governmental) | To outline the process and outcomes for the development of the Canadian 24-Hour Movement Guidelines for Children and Youth: An Integration of Physical Activity, Sedentary Behavior, and Sleep. | Population education | Population level |
Verweij et al. [54] | Evidence of effectiveness for policymaking (non-governmental) | To critically examine the effectiveness of workplace interventions targeting physical activity, dietary behavior, or both on weight outcomes. | Population education | Workplace |
WHO [55] | Recommendations to guide policymaking (inter-governmental) | To provide guidance on appropriate assessment and management of infants and children at primary health-care facilities, in order to reduce the risk of overweight and obesity among children, including those living in settings where both undernutrition and overweight/obesity are prevalent. | Population education | Population level |
WHO [56] | Recommendations to guide policymaking (inter-governmental) | To provide recommendations on the consumption of potassium to reduce NCDs in adults and children. | Population education | Population level |
WHO [57] | Recommendations to guide policymaking (inter-governmental) | To provide recommendations on the consumption of sodium to reduce NCDs in most adults and children. | Population education | Population level |
WHO [58] | Recommendations to guide policymaking (inter-governmental) | To provide recommendations on the intake of free sugars to reduce the risk of NCDs in adults and children, with a particular focus on the prevention and control of unhealthy weight gain and dental caries. | Population education | Population level |
Author | GRADE rating | Outcome | Reason for downgrading |
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Al-Khudairy et al. [23] | ⊕⊕◯◯ Low | Change in BMI | Inconsistency, indirectness |
⊕⊕◯◯ Low | Adverse events | RoB, limited information | |
⊕⊕◯◯ Low | Health-related quality of life | RoB, inconsistency | |
Baker et al. [24] | ⊕⊕◯◯ Low | Physical activity in % (end of intervention to 6 years) and energy expenditure | Inconsistency, imprecision |
⊕⊕⊕⊕ High | Physical activity in % (end of intervention to 3 years, 4 months) | ||
⊕⊕⊕◯ Moderate | Physical activity, average daily minutes of moderate to vigorous (24 months) | Findings based on a single study | |
Balogun et al. [25] | ⊕⊕◯◯ Low | Initiation of breastfeeding | Inconsistency and RoB |
⊕◯◯◯ Very Low | Early initiation of breastfeeding | Inconsistency, RoB, wide CI | |
Crockett et al. [27] | ⊕◯◯◯ Very low | Food purchased from vending machines | Very serious RoB (2 levels), imprecision |
⊕◯◯◯ Very low | Food purchased from a grocery store | NRSs, RoB, indirectness | |
⊕◯◯◯ Very low | Potential harms (high-energy snack foods consumed with misleading low fat/energy labels in laboratory settings) | RoB, Inconsistency, indirectness | |
⊕⊕◯◯ Low | Food purchased in restaurants (labels on menus) | Very serious RoB (2 levels) | |
⊕⊕◯◯ Low | Food consumed in laboratory settings (labels on menus or labels placed on a range of food options) | Imprecision, indirectness | |
⊕⊕◯◯ Low | Food consumed in laboratory settings (single snack food or drink option) | RoB, indirectness | |
Cushing et al. [28] | ⊕⊕⊕◯ Moderate | Overall assessment, diet, physical activity, and smoking | Inconsistency or RoB |
Dobbins et al. [29] | ⊕⊕◯◯ Low | Television viewing, physical activity rates, physical activity duration, mean systolic/diastolic blood pressure, BMI | Inconsistency, imprecision (same reasons for each outcome) |
Elvsaas et al. [31] | ⊕⊕⊕◯ Moderate | BMI 6 months, BMI 12 months, BMI Z score 6 months and BMI Z score 12 months | Inconsistency (same reason for each outcome) |
⊕⊕◯◯ Low | BMI 24 months | Inconsistency, imprecision | |
⊕⊕⊕⊕ High | BMI Z score 24 months | ||
Freak-Poli et al. [34]* | Workplace pedometer programs vs. alternative physical activity program: | ||
⊕⊕◯◯ Low | Physical activity | RoB, imprecision | |
⊕⊕◯◯ Low | BMI | RoB, imprecision | |
⊕⊕◯◯ Low | Systolic blood pressure | RoB, imprecision | |
⊕⊕◯◯ Low | LDL cholesterol | RoB, imprecision | |
Workplace pedometer programs compared to no intervention: | |||
⊕◯◯◯ Very low | Physical activity | NRSs, RoB | |
⊕◯◯◯ Very low | BMI | RoB, imprecision, inconsistency | |
⊕⊕◯◯ Low | Systolic blood pressure | RoB, imprecision, inconsistency | |
Hodder et al. [37] | For all intervention types: | ||
⊕◯◯◯ Very low | Short-term impact (< 12 months) child vegetable intake | Inconsistency, RoB, imprecision | |
⊕◯◯◯ Very low | Short-term impact on cost-effectiveness and unintended adverse events | RoB, imprecision, publication bias (same reasons for each outcome) | |
Intervention: child nutrition education | |||
⊕⊕◯◯ Low | Short-term impact child vegetable intake | RoB, imprecision | |
Hollands et al. [38] | ⊕⊕⊕◯ Moderate | Consumption (in general, among adults and among children), selection without purchase (in general and among adults) | RoB (same reason for each outcome) |
⊕⊕◯◯ Low | Selection without purchase among children | RoB, imprecision | |
Langford et al. [39] | ⊕⊕⊕◯ Moderate | Obesity or overweight or body size | Inconsistency |
⊕⊕◯◯ Low | Nutrition | Inconsistency, RoB | |
⊕⊕⊕◯ Moderate | Body image or eating disorder | RoB | |
⊕⊕◯◯ Low | Physical activity, alcohol, substance use, sexual health | Inconsistency, RoB (same reasons for each outcome) | |
Martin et al. [41] | ⊕⊕⊕◯ Moderate | Effect of lifestyle interventions | RoB |
⊕⊕⊕◯ Moderate | Effect of physical activity/sedentary behavior interventions | RoB | |
⊕⊕⊕◯ Moderate | Effect of physical activity interventions | RoB | |
⊕⊕◯◯ Low | Effect of sedentary behavior interventions | Imprecision, RoB | |
McLaren et al. [43] | ⊕◯◯◯ Very low | Salt intake in grams per day (overall, men and women) | NRSs, inconsistency, RoB |
NICE (physical activity) [45]*,** | ⊕⊕◯◯ Low | Total physical activity as measured by total time spent in physical activity | NRSs**, RoB, imprecision |
⊕⊕◯◯ Low | Total sedentary time as measured by the total time spent sitting | NRSs**, RoB, imprecision | |
⊕◯◯◯ Very low | Changes to transport as measured by % of car drivers switching to public transport | NRSs**, RoB (2×), imprecision | |
⊕◯◯◯ Very low | Active travel as measured by the average time spent in active commuting | NRSs**, RoB (2×), imprecision | |
⊕◯◯◯ Very low | Physical activity in everyday life as measured by the average time spent in recreational walking and cycling | NRSs**, RoB (2×), imprecision | |
⊕⊕◯◯ Low | Changes to transport as measured by changes in proportion of journeys to work made by active travel (proximity) | NRSs**, RoB, indirectness | |
⊕◯◯◯ Very low | Public transport use (as a proxy of physical activity) as measured by bus use | NRSs**, RoB (2×), imprecision | |
Oakman et al. [46] | ⊕⊕⊕◯ Moderate | Effect of individually focused workplace interventions on work ability | RoB |
⊕◯◯◯ Very low | Effect of multilevel focused workplace interventions on work ability | RoB (2 levels), imprecision | |
Shrestha et al. [51]* | |||
⊕⊕◯◯ Low | Sit-stand desks without information | RoB, imprecision | |
⊕◯◯◯ Very low | Treadmill desk with counseling | Imprecision, RoB (2 levels) | |
⊕⊕◯◯ Low | Workplace policy changes (walking strategies) | RoB, imprecision | |
⊕⊕◯◯ Low | Workplace policy changes (short vs. long break) | Imprecision, RoB | |
⊕⊕◯◯ Low | Information, feedback, and counseling | Imprecision, RoB | |
⊕⊕◯◯ Low | Prompts combined with information | Imprecision, RoB | |
⊕◯◯◯ Very low | Multi-component intervention | Imprecision, RoB, inconsistency | |
Verweij et al. [54]* | ⊕⊕⊕◯ Moderate | Bodyweight (physical activity and diet, follow-up 6–18 months) | Inconsistency |
⊕⊕◯◯ Low | Bodyweight (phyical activity, follow-up 2––12 months) | RoB, imprecision | |
⊕⊕⊕◯ Moderate | BMI (physical activity and diet, follow-up 6–18 months) | RoB | |
⊕⊕◯◯ Low | BMI (physical activity, follow-up 2–12 months) | RoB imprecision | |
⊕⊕⊕◯ Moderate | Body fat (physical activity and diet, follow-up 6-9 months) | Imprecision | |
⊕⊕◯◯ Low | Waist circumference (physical activity and diet, follow-up 24 weeks to 1 year) | Inconsistency, imprecision | |
⊕◯◯◯ Very low | Waist–hip ratio (cm) (physical activity and diet; follow-up 3–18 months) | Only one study available | |
von Philipsborn et al. [49]* | ⊕⊕⊕◯ Moderate | Traffic-light labeling on SSB sales | NRSs, upgraded for magnitude of effect |
⊕◯◯◯ Very low | Improved access to drinking water in schools on SSB intake | RoB, NRSs, imprecision | |
⊕⊕⊕◯ Moderate | Price-increase on SSB sales | NRSs, upgraded for dose-response gradient and magnitude of effect | |
⊕◯◯◯ Very low | Voluntary food and beverage industry initiatives to improve the nutritional quality of the whole food supply on SSB sales | NRSs, RoB | |
⊕⊕◯◯ Low | Healthier default beverages in children’s menus in restaurants on SSB sales | NRS, upgraded for magnitude of effect, downgraded for RoB | |
⊕⊕⊕◯ Moderate | Government food benefit programs with incentives for buying fruit and vegetables and restrictions on the purchase of SSB | RoB | |
⊕⊕⊕◯ Moderate | Improved access to low-calorie beverages in the home environment on SSB intake | RoB | |
WHO (potassium) [56]* | |||
⊕◯◯◯ Very low | Cardiovascular disease | NRSs, imprecision | |
⊕⊕◯◯ Low | Stroke | NRSs | |
⊕◯◯◯ Very low | Coronary heart disease | NRSs, imprecision | |
⊕◯◯◯ Very low | All-cause mortality | Only one study, imprecision | |
⊕⊕⊕⊕ High | Resting systolic blood pressure | ||
⊕⊕⊕⊕ High | Total cholesterol | ||
⊕⊕⊕⊕ High | Plasma noradrenaline | ||
WHO (primary health-care) [55] | ⊕◯◯◯ Very low | BMI with dietary intervention (children aged 0–18 years) | NRSs, indirectness |
⊕◯◯◯ Very low | BMI with dietary and/or physical activity interventions (children aged 0–5 years) | NRSs, indirectness | |
⊕◯◯◯ Very low | BMI with physical activity interventions (children aged 0–18 years) | NRSs, indirectness | |
⊕◯◯◯ Very low | BMI with physical activity interventions (children aged 0–5 years) | NRSs, indirectness | |
⊕⊕◯◯ Low | BMI with specialist setting for treatment | Very serious indirectness | |
WHO (sodium) [57]* | |||
⊕◯◯◯ Very low | Cardiovascular disease (indicates increased risk with increased sodium intake) | NRSs, imprecision | |
⊕⊕⊕◯ Moderate | Cardiovascular disease (indicates decreased risk with decreased sodium intake) | Imprecision | |
⊕◯◯◯ Very low | Stroke | NRSs, inconsistency | |
⊕◯◯◯ Very low | Coronary heart disease | NRSs, imprecision | |
⊕◯◯◯ Very low | All-cause mortality | NRSs, inconsistency | |
⊕⊕⊕⊕ High | Resting systolic blood pressure | ||
⊕⊕⊕⊕ High | Total cholesterol | Not downgraded due to imprecision because follow-up did not cross threshold of relevance of benefit or harm | |
WHO (sugar intake) [58]* | Effect for reduction in free sugars in adults and children on: | ||
⊕⊕⊕◯ Moderate | Bodyweight (follow-up 10 weeks to 8 months) | RoB | |
⊕⊕⊕◯ Moderate | Dental caries (follow-up 10 weeks to 8 months) | NRSs, upgraded for large effect size | |
Effect of an increase in free sugars intake in adults: | |||
⊕⊕⊕◯ Moderate | Bodyweight (follow-up 2 weeks to 6 months) | Potential publication bias | |
⊕⊕⊕◯ Moderate | Dental caries (follow-up 1–8 years) | NRSs, upgraded for large effect size | |
Effect of a reduction in free sugars intake in children: | |||
⊕⊕⊕◯ Moderate | BMI (follow-up 16 to 52 weeks) | Inconsistency | |
⊕⊕⊕◯ Moderate | Dental caries (follow-up 1–8 years) | NRSs, upgraded for large effect size | |
Effect of an increase in free sugars intake in children: | |||
⊕⊕◯◯ Low | Overweight in children | NRSs |
Survey
Results
An overview of the use of GRADE in policymaking and policy evaluation
Author | Description |
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GRADE not used, barriers mentioned: | |
Matwiejczyk et al. [42] | “Heterogeneity of the reviews and the assessment of insufficient information in three reviews precluded an evaluation of the quality of the research through the use of GRADE. This was compounded by the difficulty for the systematic reviews to apply GRADE or a meta-analysis for the same reason.” |
Dyson et al. [30] | “It is acknowledged that much of the evidence from nutrition research is derived from prospective cohort studies rather than RCTs, and applying GRADE downgrades evidence from prospective studies when compared with RCTs; this should be borne in mind when considering the grading allocated to each recommendation.” “A key aspect of current approaches to supporting people with diabetes is to encourage practice that is individualized. It is challenging to rate such recommendations using the GRADE system, particularly in situations where multiple conditions influence health and dietary approaches. In response to this, a deliberate decision was made to report these recommendations as ‘Not Rated’” |
Erickson et al. [32] | We planned to use GRADE to evaluate the quality of the evidence used in the model components as well as the accuracy of the modeling procedure; however, these details were not publicly available, and we were unable to assess the quality of the evidence for the recommendations. |
GRADE used, barriers mentioned: | |
Baker et al. [24] | “Given that very few studies had reliable measures of physical activity and sedentary behavior, and much of the data were incomplete, a modified approach was required in which we split the presentation of findings according to the risk of bias. […] As conducting meta-analyses was deemed inappropriate, a summary table has been prepared using narrative analysis of the included studies.” |
NICE [45] | It may not be possible, practical or ethical to undertake a randomized controlled trial for some interventions and natural experiments may be the most valid approach. So a modified version of GRADE was agreed by the committee and used. Outcomes from studies for which the natural experiment study design was the most feasible and valid approach started the GRADE process as “high quality.” If a randomized controlled trial was feasible and optimal for answering the study aims but a natural experiment design was used, outcomes started the GRADE process as “low quality.” |
Facilitators of GRADE-ADOLOPMENT approach | |
Okely et al. [47] | The GRADE-ADOLOPMENT approach allows guideline developers to follow a well-accepted and transparent process for developing guidelines (GRADE) in an efficient manner by adapting or adopting an existing evidence-based guideline. This could potentially prevent the need to undertake (or repeat) costly tasks such as conducting full systematic reviews [13]. At the same time, it allows local guideline developers to take into consideration factors that are specific to their local context. |