New Tool Helps Physicians Assess Usefulness of Clinical Guidelines for Patient Outcomes

A team of researchers at Tufts University School of Medicine and colleagues have developed a new tool, G-TRUST (the Guideline Trustworthiness, Relevance, and Utility Scoring Tool) to help clinicians assess the usefulness of clinical guidelines in the treatment of their patients. The related study is published in Annals of Family Medicine.

Recommended guidelines are typically the result of evidence-based medical protocols developed by physicians regarded as experts in their respective fields and are among the important inputs that physicians employ when diagnosing patients and designing treatment plans. Guidelines are generally codified and published by physician professional organizations and medical governing bodies and widely used as recommended standard practice across the United States and many other countries. However, there can be many practice guidelines available in a specific clinical context, not all of which may be useful.

"In every medical specialty, physicians are required to review multiple sets of practice guidelines to determine their usefulness for a specific patient's treatment. Such tools are often developed primarily for research and further guideline development rather than direct clinical application," said first and corresponding author Allen Shaughnessy, Pharm.D., M.Med.Ed., professor at Tufts University School of Medicine and fellowship director of the Tufts University Family Medicine Residency Program at Cambridge Health Alliance.

As an aid to practicing clinicians, the research team developed a straightforward eight-point tool for scoring clinical guidelines to assess their usefulness that can be applied in a clinical setting.

"The goal of this project was to develop a simple, easy-to-use tool for clinicians to identify trustworthy, relevant, and useful practice guidelines," he continued.

The result of this effort, the G-TRUST tool, was developed using a modified Delphi process to obtain consensus of a panel of experts including 22 experts in evidence-based medicine, 17 developers of high-quality guidelines, and one consumer representative. To prepare the Delphi panel, the research team reviewed publications from the Health and Medicine Division of the National Academy of Medicine (NAM, formerly the Institute of Medicine, and now part of the National Academies of Sciences, Engineering, and Medicine) as well as their own prior research and other research on clinical guidelines. The Delphi panel examined the resulting checklist of assessment items and rated the relative impact of each item on guideline quality. The research group conducted four rounds of Delphi review to refine wording, add and subtract items, and develop a scoring system.

Using the Delphi expert consensus, the team created an eight-item checklist designed to help clinicians quickly identify useful guidelines that can be used in the clinic.

"Our instrument identified almost all (92 percent) of the 'low quality' guidelines and, based on our tighter definition of trustworthiness, disqualified many that previously were considered to be of 'high quality,'" said last author Lisa Cosgrove, Ph.D., professor of psychology at the University of Massachusetts Boston, adding, "The items in G-TRUST address issues and concerns voiced by the NAM report and other critiques of existing clinical guidelines."

Shaughnessy AF, Vaswani A, Andrews BK, Erlich DR, D'Amico F, Lexchin J, Cosgrove L.
Developing a Clinician Friendly Tool to Identify Useful Clinical Practice Guidelines: G-TRUST.
Ann Fam Med 2017;15:413-418. doi: 10.1370/afm.2119.

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...