Clinical Trial: Reducing Diagnostic Errors in Primary Care Pediatrics (Project RedDE)

Study Status: Recruiting
Recruit Status: Recruiting
Study Type: Interventional




Official Title: Reducing Diagnostic Errors in Primary Care Pediatrics

Brief Summary:

The proposal will focus on 3 specific, high-risk, pediatric ambulatory diagnostic errors each representing a unique dimension of diagnostic assessment: evaluation of symptoms, evaluation of signs and follow-up of diagnostic tests. Adolescent depression (i.e. symptoms) affects nearly 10% of teenagers, is misdiagnosed in almost 75% of adolescents and causes significant morbidity. Pediatric elevated blood pressure (signs) is misdiagnosed in 74-87% of patients, often due to inaccurate application of blood pressure parameters that change based on age, gender and height. Actionable pediatric laboratory values (diagnostic tests) are potentially delayed up to 26% of the time in preliminary investigations and 7-65% in adults, leading to harm and malpractice claims.

The investigators propose to conduct a multisite, prospective, stepped wedge cluster randomized trial testing a quality improvement collaborative (QIC) intervention within the American Academy of Pediatrics' Quality Improvement Innovation Networks (QuIIN) to reduce the incidence of pediatric primary care diagnostic errors. QuIIN is a national network of over 300 primary care practices, ranging from tertiary care academic medical centers to single practitioner private practices, interested in and experienced with QICs. Because many processes are likely to be common across diagnostic errors in outpatient settings, a multifaceted intervention, such as a QIC, has a high likelihood of success and broad applicability across populations. Preparatory inquiries to QuIIN primary care providers suggest high interest in reducing these 3 diagnostic errors and provider agreement with randomization to evaluate diagnostic error interventions. Practices will be randomized to one of three groups, with each group collecting retrospective baseline data on one error above, and then intervening to reduce that error during the first eight mon