Hospital-acquired conditions such as catheter-associated urinary tract infection, stage 3 or 4 hospital-acquired pressure injury, and falls with injury are common, costly, and largely preventable. This study used participatory design methods to design and evaluate low-fidelity prototypes of clinical dashboards to inform high-fidelity prototype designs to visualize integrated risks based on patient profiles. Five low-fidelity prototypes were developed through literature review and by engaging nurses, nurse managers, and providers as participants (N = 23) from two hospitals in different healthcare systems using focus groups and interviews. Five themes were identified from participatory design sessions: Need for Integrated Hospital-Acquired Condition Risk Tool, Information Needs, Sources of Information, Trustworthiness of Information, and Performance Tracking Perspectives. Participants preferred visual displays that represented patient comparative risks for hospital-acquired conditions using the familiar design metaphor of a gauge and green, yellow, and red “traffic light” colors scheme. Findings from this study were used to design a high-fidelity prototype to be tested in the next phase of the project. Visual displays of hospital-acquired conditions that are familiar in display and simplify complex information such as the green, yellow, and red dashboard are needed to assist clinicians in fast-paced clinical environments and be designed to prevent alert fatigue.
Background Hospital-acquired conditions (HACs) are common, costly, and national patient safety priority. Catheter-associated urinary tract infections (CAUTIs), hospital-acquired pressure injury (HAPI), and falls are common HACs. Clinicians assess each HAC risk independent of other conditions. Prevention strategies often focus on the reduction of a single HAC rather than considering how actions to prevent one condition could have unintended consequences for another HAC.
Objectives The objective of this study is to design an empirical framework to identify, assess, and quantify the risks of multiple HACs (MHACs) related to competing single-HAC interventions.
Methods This study was an Institutional Review Board approved, and the proof of concept study evaluated MHAC Competing Risk Dashboard to enhance clinicians' management combining the risks of CAUTI, HAPI, and falls. The empirical model informing this study focused on the removal of an indwelling urinary catheter to reduce CAUTI, which may impact HAPI and falls. A multisite database was developed to understand and quantify competing risks of HACs; a predictive model dashboard was designed and clinical utility of a high-fidelity dashboard was qualitatively tested. Five hospital systems provided data for the predictive model prototype; three served as sites for testing and feedback on the dashboard design and usefulness. The participatory study design involved think-aloud methods as the clinician explored the dashboard. Individual interviews provided an understanding of clinician's perspective regarding ease of use and utility.
Results Twenty-five clinicians were interviewed. Clinicians favored a dashboard gauge design composed of green, yellow, and red segments to depict MHAC risk associated with the removal of an indwelling urinary catheter to reduce CAUTI and possible adverse effects on HAPI and falls.
Conclusion Participants endorsed the utility of a visual dashboard guiding clinical decisions for MHAC risks preferring common stoplight color understanding. Clinicians did not want mandatory alerts for tool integration into the electronic health record. More research is needed to understand MHAC and tools to guide clinician decisions.
Sources of bias, including poorly controlled confounders, inconsistent intervention adherence, and lack of available a priori protocols, prohibit conclusions regarding effectiveness of psychological interventions for depression or anxiety among older adults in inpatient postacute care settings. Even though high-quality evidence is lacking, preliminary findings suggest that psychological interventions may be acceptable for addressing depressive symptoms among older adults during an inpatient postacute care stay; thus, the need for future rigorous research is justified. No study reported treatment benefits for anxiety symptoms, suggesting the need for more conceptual work to understand the appropriateness of psychological interventions for anxiety among older adults in inpatient postacute care settings.
Clinical guidelines recommend clinicians in skilled nursing facilities (SNFs) monitor body weight and signs and symptoms related to heart failure (HF) and encourage a sodium restricted diet to improve HF outcomes; however, SNFs face considerable challenges in HF disease management (HF-DM). In the current study, we characterized the challenges of HF-DM with data from semi-structured, in-depth interviews with patients, caregivers, staff, and physicians from nine SNFs. Patients receiving skilled nursing care were interviewed together as a dyad with their caregiver. A data-driven, qualitative descriptive approach was used to understand the process and challenges of HF-DM. Coded text was categorized into descriptive themes. Interviews with five dyads (
n
= 10 individuals), SNF nurses and certified nursing assistants (
n
= 13), and physicians (
n
= 2) revealed that, among the sample, HF care was not prioritized above other competing health concerns. Staff operated in the challenging SNF environment largely without protocols or educational materials to prompt HF-DM. [
Journal of Gerontological Nursing, 48
(5), 13–17.]
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