Browsing by Author "Norrving, Bo"

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    An International Standard Set of Patient-Centered Outcome Measures After Stroke
    (Ovid Technologies Wolters Kluwer – American Heart Association, 2016-01) Salinas, Joel; Sprinkhuizen, Sara M.; Ackerson, Teri; Bernhardt, Julie; Davie, Charlie; George, Mary G.; Gething, Stephanie; Kelly, Adam G.; Lindsay, Patrice; Liu, Liping; Martins, Sheila C. O.; Morgan, Louise; Norrving, Bo; Ribbers, Gerard M.; Silver, Frank L.; Smith, Eric E.; Williams, Linda S.; Schwamm, Lee H.; Department of Neurology, IU School of Medicine
    BACKGROUND AND PURPOSE: Value-based health care aims to bring together patients and health systems to maximize the ratio of quality over cost. To enable assessment of healthcare value in stroke management, an international standard set of patient-centered stroke outcome measures was defined for use in a variety of healthcare settings. METHODS: A modified Delphi process was implemented with an international expert panel representing patients, advocates, and clinical specialists in stroke outcomes, stroke registers, global health, epidemiology, and rehabilitation to reach consensus on the preferred outcome measures, included populations, and baseline risk adjustment variables. RESULTS: Patients presenting to a hospital with ischemic stroke or intracerebral hemorrhage were selected as the target population for these recommendations, with the inclusion of transient ischemic attacks optional. Outcome categories recommended for assessment were survival and disease control, acute complications, and patient-reported outcomes. Patient-reported outcomes proposed for assessment at 90 days were pain, mood, feeding, selfcare, mobility, communication, cognitive functioning, social participation, ability to return to usual activities, and health-related quality of life, with mobility, feeding, selfcare, and communication also collected at discharge. One instrument was able to collect most patient-reported subdomains (9/16, 56%). Minimum data collection for risk adjustment included patient demographics, premorbid functioning, stroke type and severity, vascular and systemic risk factors, and specific treatment/care-related factors. CONCLUSIONS: A consensus stroke measure Standard Set was developed as a simple, pragmatic method to increase the value of stroke care. The set should be validated in practice when used for monitoring and comparisons across different care settings.
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    Stroke Learning Health Systems: A Topical Narrative Review With Case Examples
    (American Heart Association, 2023) Cadilhac, Dominique A.; Bravata, Dawn M.; Bettger, Janet Prvu; Mikulik, Robert; Norrving, Bo; Uvere, Ezinne O.; Owolabi, Mayowa; Ranta, Annemarei; Kilkenny, Monique F.; Medicine, School of Medicine
    To our knowledge, the adoption of Learning Health System (LHS) concepts or approaches for improving stroke care, patient outcomes, and value have not previously been summarized. This topical review provides a summary of the published evidence about LHSs applied to stroke, and case examples applied to different aspects of stroke care from high and low-to-middle income countries. Our attempt to systematically identify the relevant literature and obtain real-world examples demonstrated the dissemination gaps, the lack of learning and action for many of the related LHS concepts across the continuum of care but also elucidated the opportunity for continued dialogue on how to study and scale LHS advances. In the field of stroke, we found only a few published examples of LHSs and health systems globally implementing some selected LHS concepts, but the term is not common. A major barrier to identifying relevant LHS examples in stroke may be the lack of an agreed taxonomy or terminology for classification. We acknowledge that health service delivery settings that leverage many of the LHS concepts do so operationally and the lessons learned are not shared in peer-reviewed literature. It is likely that this topical review will further stimulate the stroke community to disseminate related activities and use keywords such as learning health system so that the evidence base can be more readily identified.