Browsing by Subject "patient outcome assessment"

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Open Access
Developing minimum core data structure for the obesity devices Coordinated Registry Network (CRN).
(BMJ surgery, interventions, & health technologies, 2022-01) Long, Cynthia; Tcheng, James E; Marinac-Dabic, Danica; Iorga, Andrea; Krucoff, Mitchell; Fisher, Deborah
Obesity continues to be a major public health issue, with more than two-thirds of adults in the USA categorized as overweight or obese. Bariatric surgery is effective and yields durable weight loss; however, few qualified candidates choose to undergo surgical treatment. Less-invasive alternatives to bariatric surgery are being developed to bridge the treatment gap. Recognizing the burden of conducting pivotal clinical trials and traditional post-approval studies for medical devices, the Food and Drug Administration (FDA) Center for Devices and Radiological Health has encouraged the development of real-world data content and quality that is sufficient to provide evidence for Total Product Life Cycle medical device evaluation. A key first step is to establish a minimum core data structure that provides a common lexicon for endoscopic obesity devices and its corresponding interoperable data elements. Such a structure would facilitate data capture across existing workflow with a 'coordinated registry network' capability. On July 29, 2016, a workshop entitled, 'GI Coordinated Registry Network: A Case for Obesity Devices' was held at the FDA White Oak Campus by the Medical Device Epidemiology Network public-private partnership and FDA to initiate the work of developing a common lexicon and core data elements in the metabolic device space, which marked the inauguration of the Gastrointestinal Coordinated Registry Network project. Several work groups were subsequently formed to address clinical issues, data quality issues, registry participation, and data sharing.
Open Access
How Reliable are Patient-Reported Rehospitalizations? Implications for the Design of Future Practical Clinical Studies.
(J Am Heart Assoc, 2016-01-25) Krishnamoorthy, Arun; Peterson, Eric D; Knight, J David; Anstrom, Kevin J; Effron, Mark B; Zettler, Marjorie E; Davidson-Ray, Linda; Baker, Brian A; McCollam, Patrick L; Mark, Daniel B; Wang, Tracy Y
BACKGROUND: Longitudinal clinical investigations often rely on patient reports to screen for postdischarge adverse outcomes events, yet few studies have examined the accuracy of such patient reports. METHODS AND RESULTS: Patients with acute myocardial infarction (MI) in the TRANSLATE-ACS study were asked during structured interviews at 6 weeks, 6 months, and 12 months postdischarge to report any rehospitalizations. The accuracy of patient-reported rehospitalizations within 1 year of postdischarge was determined using claims-based medical bill validation as the reference standard. The cumulative incidence of rehospitalizations was compared when identified by patient report versus medical bills. Patients were categorized by the accuracy in reporting events (accurate, under-, or over- reporters) and characteristics were compared between groups. Among 10 643 MI patients, 4565 (43%) reported 7734 rehospitalizations. The sensitivity and positive predictive value of patient-reported rehospitalizations were low at 67% and 59%, respectively. A higher cumulative incidence of rehospitalization was observed when identified by patient report versus medical bills (43% vs 37%; P<0.001). Overall, 18% of patients over-reported and 10% under-reported the number of hospitalizations. Compared with accurate reporters, under-reporters were more likely to be older, female, African American, unemployed, or a non-high-school graduate, and had greater prevalence of clinical comorbidities such as diabetes and past cardiovascular disease. CONCLUSIONS: The accuracy of patient-reported rehospitalizations was low with patients both under- and over-reporting events. Longitudinal clinical research studies need additional mechanisms beyond patient report to accurately identify rehospitalization events. CLINICAL TRIAL REGISTRATION: URL: https://clinicaltrials.gov. Unique identifier: NCT01088503.