Protocolized Implementation of rigorously developed [evidence-based] clinical practice guidelines can reduce inappropriate variation in practice and improve the concordance between evidence and clinical practice in order to optimize patient outcomes [1]. Guideline development has increased exponentially over the last three decades; however, 30–40% of patients do not receive care according to the most up to date and best available evidence [2]. One reason may be that clinicians and patients are often faced with numerous and sometimes variable, contradictory guidelines making it difficult for them to select which to adopt [2, 3]. Variation in guideline quality highlights the need for healthcare practitioners to appraise clinical practice guidelines before adopting them into practice. In addition to the trustworthiness of the guideline development process, clinicians should also consider accessibility and ease of use of recommendations.
Several tools have been developed to evaluate guideline credibility [3,4,5]. One prominent instrument is the 2011 Institute of Medicine (IOM) standards, which assess the transparency and rigor of clinical guidelines, and highlight key components that should be addressed during the development process (Table 1) [3, 6]. Another is the Appraisal of Guidelines, REsearch and Evaluation II (AGREE II) tool, an internationally accepted standard for assessment of the methodological reporting quality of guidelines [4]. The AGREE II tool evaluates six domains: [1] scope and purpose [2], stakeholder involvement [3], rigor of development [4], clarity of presentation [5], applicability, and [6] editorial independence. A 2015 study evaluated clinical practice guidelines for the management of adult cataracts developed by the American Academy of Ophthalmology (AAO), Canadian Ophthalmological Society (COS), and Royal College of Ophthalmologists (RCO) using the AGREE II tool [7,8,9,10]. They found that the AAO guideline scored lowest with regards to stakeholder involvement (scaled score of 36%) and highest in terms of editorial Independence (75%) [9, 10]. The COS guideline scored lowest in applicability (45%) and highest in clarity of presentation (94%) [7, 10]. The RCO guideline scored lowest in editorial independence (23%) and highest in scope and purpose and clarity of presentation (83% and 85%, respectively) [8, 10]. The authors emphasized that across all three guidelines, the rigor and transparency of guidelines’ development as an area for improvement as well as increased attention to applicability; none of the cataract guidelines included summaries of recommendations or surgical checklists to facilitate use in practice. Neither guideline mentioned patient participation in their process; However, although the RCO guideline did report public involvement, it did not clearly describe what that entailed [8]. Also, neither guideline disclosed the process in which they identified and addressed potential conflicts of interests among voting panel members to avoid undue influence on final recommendations [10]. Major methodological limitations across all three cataract guidelines led to their appraisal as low or very low quality [10].
Another important factor to consider is the wording of the final recommendations to ensure clarity and facilitate appropriate adoption [11]. Guideline recommendations should be clear, easy, and simple to read and should include the intervention, comparator, population of interest and if necessary, the setting. For example, the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach adopted by many guideline developers worldwide has proposed a strategy for presenting recommendations [12]. Specifically, a four-category classification to standardize and simplify the recommendations and help ensure that the direction and strength of recommendations are properly understood and implemented. A strong recommendation for or against the intervention is made if the benefits of an intervention clearly outweigh the harms or vice versa [11]. On the other hand, a conditional (weak) recommendation for or against an intervention is made if the balance between the benefits and harms is less clear, the supporting evidence is low in quality, patient values and preferences are likely to vary appreciably, or there are important constraints regarding the setting in which the intervention will be implemented (e.g., availability, access, feasibility) [11].
Approaches such as GRADE allow guideline developers to make conditional recommendations to provide clinical flexibility in practice when one or more of the aforementioned issues are present [13]. This in turn helps healthcare providers individualize treatment decisions for specific patients by engaging in shared decision-making in which patients’ values and preferences are necessary to make an informed decision [11]. As part of the guideline process, approaches such as GRADE also consider resource requirements, cost effectiveness, impact on equity, acceptability to stakeholders, and feasibility of the intervention prior to formulating recommendations [14]. For example, the cataract guideline by the AAO examined resource implications and the balance of benefits and harms but did not explicitly account for issues related to feasibility, equity or values, and preferences of patients [15].
Clinical practice guidelines are often lengthy reports that are difficult to implement at the point of care delivery. Therefore, guidelines should provide accessible summaries of their recommendations. For example, the MAGIC-app (Making GRADE the Irresistible Choice app), a web based collaborative tool, is an online platform that guides developers through the process of developing a guideline and provides clinicians with access to recommendations through a multi-layered and interactive app (https://app.magicapp.org/#/guidelines). This platform presents summaries of recommendations and the underlying supporting information, as well as decision-aids presenting effects on patient-important outcomes. Integrating guideline recommendations into decision aids facilitates shared decision-making between healthcare providers and their patients [16]. For example, a 2021 randomized controlled trial explored the impact of using decision aids on the quality of decision making in patients with age-related cataracts [17]. Patients randomly assigned to the control group reviewed the National Eye Institute booklet that included general information regarding cataracts and the related surgical procedure without detailed information regarding possible outcomes of undergoing or delaying surgery [17]. Patients in the intervention group were asked to go through a decision aid that included the same standard information as the control group, data related to the benefits and harms of cataract surgery and a worksheet related to their values and preferences regarding undergoing or delaying surgery [17]. The study found that the proportion of patients that made an informed decision in the intervention group were 22% higher than those in the control group [17]. Also, participants in the intervention group were found to have a higher adequate overall knowledge about cataract surgery compared to the control group (37% vs. 9%), and fewer participants that used the decision aids decided to undergo surgery (23% vs. 34%) [17].
Clinicians are increasingly exposed to clinical practice guidelines. However, rigorous development cannot be assumed, and credibility should be assessed with a validated tool (e.g., IOM standards, AGREE II) to ensure recommendations are trustworthy. If found to be sufficiently credible, clinical practice guidelines’ accessibility, and ease of use should be assessed prior to adoption.
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AJD was responsible for writing, critical review, and feedback on paper. JWB was responsible for writing, critical review, and feedback on paper. MRP was responsible for conception of idea, critical review, and feedback on paper. RPS was responsible for critical review and feedback on paper. FGH was responsible for critical review and feedback on paper. LT was responsible for critical review and feedback on paper. MB was responsible for conception of idea, critical review, and feedback on paper. VC was responsible for conception of idea, critical review, and feedback on paper.
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AJD: Nothing to disclose. JWB: Nothing to disclose. MRP: Nothing to disclose. RPS: Consultant: Novartis, Genentech/Roche, Alcon, Regeneron, Bayer, Optos, Genentech, Apellis – unrelated to this study. FGH: Research funds: Acucela, Allergan, Apellis, Bayer, Bioeq/Formycon, Roche/Genentech, Geuder, Heidelberg Engineering, IvericBio, Kanghong, Novartis, NightStarX, Zeiss; Personal fees: Boehringer-Ingelheim, Grayburg Vision, LinBioscience, Pixium Vision, Stealth BioTherapeutics, Aerie, Oxurion – unrelated to this study. LT: Nothing to disclose. MB: Research funds: Pendopharm, Bioventus, Acumed – unrelated to this study. VC: Advisory Board Member: Alcon, Roche, Bayer, Novartis; Grants: Bayer, Novartis – unrelated to this study.
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Darzi, A.J., Busse, J.W., Phillips, M.R. et al. Guidelines for patient management: considerations before adoption into practice. Eye 36, 1135–1137 (2022). https://doi.org/10.1038/s41433-021-01898-z
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DOI: https://doi.org/10.1038/s41433-021-01898-z