Impacts of CTSA-Supported Research on Improving Patient Care through Methods for Evidence-Based Clinical Guidelines and Healthcare Policies

Translational science focuses on developing methods that speed improvements in healthcare across many conditions. NCATS CTSA-supported research strengthens clinical practice guidelines by improving how scientific evidence is developed, translated into recommendations, and applied in real-world care, while addressing barriers to use and promoting patient-centered approaches. These efforts help ensure that clinical guidelines effectively guide healthcare decisions, leading to more consistent, evidence-based care and better patient outcomes.

Hundreds of scientific journal articles published with CTSA support discuss how to ensure that changes in medical policy are soundly based on factual evidence of benefits to patients. We highlight eight of these articles, chosen based on significant citations in new medical policy documents that guide patient care, including a couple to illustrate specific disease applications.

CTSA-supported research over many years has explored ways to make guidelines more accessible for patients. A study involving individuals with sickle cell disease adapted clinical guidelines into patient-centered formats that are easier to understand and use (PMID: 29977566, 2018) and has been used to support seven healthcare policy documents. This work showed how community engagement can help patients use evidence-based information to participate more actively in their own healthcare decisions.

Evidence-based medicine helps clinicians make healthcare decisions using the best available research. One important step in this process is understanding how evidence informs clinical decision-making. The study Toward a transdisciplinary model of evidence-based practice (PMID: 19523122, 2009) proposed a unified framework for integrating research evidence, clinical expertise, and patient preferences. This model helped clarify how evidence-based approaches can guide decisions across different healthcare fields and has been referenced in 30 healthcare policies.

Researchers have also studied why evidence-based guidelines are sometimes difficult to implement. A study examining barriers to guideline adoption (PMID: 21093800, 2010), which has been cited in four policy documents, found that clinicians may face challenges such as resistance to changing established practices or uncertainty about research findings. Understanding these barriers helps healthcare systems develop strategies to improve guideline adoption in clinical practice.

More recent work continues to connect research with everyday clinical care. For example, studies on tools like the Elder Risk Assessment (ERA) score (PMID: 38597114, 2024) show how simple models can use routine health data to identify older adults at high risk of serious illness. Because the ERA uses information already available in electronic health records, it can be easily built into clinical workflows. Studies have shown that it can accurately predict outcomes such as ICU admission or death within one year. These tools help clinicians plan care earlier, use resources more effectively, and identify patients who may benefit from clinical trials.

CTSA-supported investigators also helped strengthen the methods used to create these policies and clinical practice guidelines. Research describing the development of the American College of Chest Physicians antithrombotic therapy guidelines (PMID: 22315256, 2012) demonstrated how systematic reviews and structured evaluation methods can translate research evidence into clear clinical recommendations. These approaches build upon the widely used GRADE framework to help ensure that guideline recommendations are transparent and based on high-quality evidence. This work has been cited in 15 policy documents.

The impact of these methods can be seen across many areas of healthcare. For example, guidelines for community-acquired pneumonia (PMID: 31573350, 2019) provide clear recommendations for diagnosis and treatment and has been cited in 68 policy documents, seven patents, and 11 clinical trials. In infectious diseases, implementing COVID-19 treatment guidelines through clinical decision support systems improved adherence and reduced ICU admissions (PMID: 34550900, 2021). In primary care, a randomized trial (PMID: 31405875, 2019), cited in two policy documents, showed that evidence-based support improved cardiovascular risk factors among patients. Together, these examples show how evidence-based guidelines improve care across different diseases by helping clinicians make more consistent and effective decisions.