Objectives: To identify different approaches (unique domains) and indicators to evaluate quality in assisted living communities in the United States.
Design: Scoping review supplemented with key informant and technical panel guidance.
Setting And Participants: Assisted living settings and residents.
Aim: To investigate non-clinical factors that affect health-related decision-making in mothers with young ambulatory children living with cerebral palsy (CP).
Method: Guided by phenomenology, we asked parents to describe early experiences of raising a young ambulatory child living with CP. Conversations were audio-recorded, transcribed, coded, and analysed using a qualitative inductive approach.
Introduction: Despite effective medications for opioid use disorder (MOUD), treatment engagement remains low. As the overdose crisis is increasingly characterized by opioids co-used with other substances, it is important to understand whether existing models effectively support treatment for patients who use multiple substances. Hospital-based addiction consultation services (ACS) have shown promise at increasing MOUD initiation and treatment engagement, but the effectiveness for patients with specific co-use patterns remains unknown.
View Article and Find Full Text PDFBackground: Learning health systems (LHSs) iteratively generate evidence that can be implemented into practice to improve care and produce generalizable knowledge. Pragmatic clinical trials fit well within LHSs as they combine real-world data and experiences with a degree of methodological rigor which supports generalizability.
Objectives: We established a pragmatic clinical trial unit ("RapidEval") to support the development of an LHS.
Background: The objectives of this study were to (1) evaluate telemetry use pre- and postimplementation of clinical decision support tools to support American Heart Association practice standards for telemetry monitoring and (2) understand the factors that may contribute to variation of telemetry monitoring in practice.
Methods And Results: First, we captured overall variability in telemetry use pre- and postimplementation of the clinical decision support intervention. We then conducted semistructured interviews with telemetry-ordering providers to identify key barriers and facilitators to adoption.