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Background: Despite increasing attention to patient and family advisory councils (PFACs), what patients who are not PFAC members expect of PFACs remains understudied. Understanding their expectations is critical if PFACs are to help health systems achieve certain outcomes (eg increased patient satisfaction with health systems). Objective: To obtain rich insights about what patients who are not PFAC members expect of PFACs. Design: From July to September 2018, we conducted a qualitative study using focus groups. Setting and participants: We recruited patients and caregivers who receive their care from the Johns Hopkins Medicine Alliance for Patients (JMAP), LLC, a Medicare accountable care organization that in 2014 established a PFAC, the Beneficiary Advisory Council. Approach: Using grounded theory, we analysed field notes, analytic memos and transcripts to develop a theoretical model of patient engagement via PFACs. Results: Forty-two patients and caregivers participated in five focus groups that included individuals of different ages, races, health statuses and socio-economic statuses. Participants were largely unaware of PFACs. Participants wanted to know who represented them (interpreted as a form of political representation) and emphasized the need for representatives' diversity. Who mattered because who could affect what PFACs do. Participants expected that all patients should be able to communicate with PFACs and that meaningful engagement could enhance perceptions of health systems.Conclusions: Eliciting views about patient representation from patients who have not been engaged as advisors or representatives has the potential to inform PFACs' activities. Attention should be given to improving and measuring patients' awareness of, and interactions with, their patient representatives. | 149DUKHANIN et Al.

Background This paper describes a protocol for determining the incidence of serious fall injuries for Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE), a large, multicenter pragmatic clinical trial with limited resources for event adjudication. We describe how administrative data (from participating health systems and Medicare claims) can be used to confirm participant-reported events, with more time- and resource-intensive full-text medical record data used only on an “as-needed” basis. Methods STRIDE is a pragmatic cluster-randomized controlled trial involving 5451 participants age ≥ 70 and at increased risk for falls, served by 86 primary care practices in 10 US health systems. The STRIDE intervention involves a nurse falls care manager who assesses a participant’s underlying risks for falls, suggests interventions using motivational interviewing, and then creates, implements and longitudinally follows up on an individualized care plan with the participant (and caregiver when appropriate), in partnership with the participant’s primary care provider. STRIDE’s primary outcome is serious fall injuries, defined as a fall resulting in: (1) medical attention billable according to Medicare guidelines with a) fracture (excluding isolated thoracic vertebral and/or lumbar vertebral fracture), b) joint dislocation, or c) cut requiring closure; OR (2) overnight hospitalization with a) head injury, b) sprain or strain, c) bruising or swelling, or d) other injury determined to be “serious” (i.e., burn, rhabdomyolysis, or internal injury). Two sources of data are required to confirm a serious fall injury. The primary data source is the participant’s self-report of a fall leading to medical attention, identified during telephone interview every 4 months, with the confirmatory source being (1) administrative data capturing encounters at the participating health systems or Medicare claims and/or (2) the full text of medical records requested only as needed. Discussion Adjudication is ongoing, with over 1000 potentially qualifying events adjudicated to date. Administrative data can be successfully used for adjudication, as part of a hybrid approach that retrieves full-text medical records only when needed. With the continued refinement and availability of administrative data sources, future studies may be able to use administrative data completely in lieu of medical record review to maximize the quality of adjudication with finite resources. Trial registration ClinicalTrials.gov ( NCT02475850 ). Electronic supplementary material The online version of this article (10.1186/s40621-019-0190-2) contains supplementary material, which is available to authorized users.

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