BACKGROUND/OBJECTIVES: The Hospital Elder Life Program (HELP) has been shown to prevent delirium in hospitalized older adults. The objective of this study was to test the efficacy of HELP adapted to long-term care (HELP-LTC). DESIGN: Cluster randomized controlled trial. SETTING: A 514-bed academic urban nursing home. PARTICIPANTS: A total of 219 long-term nursing home residents who developed an acute illness or change in condition were randomly assigned to HELP-LTC (n = 105) or usual care (n = 114) by unit. INTERVENTION: HELP-LTC is a multicomponent intervention targeting delirium risk factors of cognitive impairment, immobility, dehydration, and malnutrition. Two certified nursing assistants (CNAs) delivered HELP-LTC components twice daily 7 days per week. In addition, recommendations were given to primary providers to reduce medications associated with delirium. MEASUREMENTS: Delirium (primary outcome) and delirium severity were ascertained each weekday by a research assistant blinded to group assignment, using the Confusion Assessment Method (CAM) and CAM severity score (CAM-S), respectively. Cognitive function was determined using the Cognitive Performance Scale (CPS). Hospitalization was ascertained by chart review. RESULTS: Participants were 81.7 years of age on average and 65.3% female. At baseline, usual care group participants had better cognitive function than intervention group participants (CPS = 1.33 vs 2.25; P = .004). Delirium symptoms declined over the course of the episode (mean CAM-S = 3.63 at start vs 3.27 at end). Overall, 33.8% of the total sample experienced incident delirium. After adjusting for baseline cognitive function, no significant differences were found in delirium or delirium severity between intervention and usual care groups. Hospitalization was not significantly different between groups. CONCLUSION: An intervention targeting delirium risk in long-term nursing home residents did not prevent delirium or reduce delirium symptoms. Baseline differences in cognitive function between groups, greater than expected improvements in both groups, quality-enhancing practices such as consistent assignments delivered to both groups, and adaptations of the intervention may have biased results toward null.
The use of alerts from the Bronx RHIO, a health information exchange (HIE) to identify James J. Peters VAMC patients diagnosed with COVID-19 in the community was described to facilitate COVID-19 VA primary care follow-up. COVID-19 hospitalization and testing alerts were delivered on a Bronx RHIO facility report. VA COVID-19 follow-up care by telephone and video was guided by local COVID-19 clinical pathways, electronic health record (EHR) templates, and tracking through a database. VA received 180 RHIO alerts for 111 unique patients, and 88 had positive non-VA testing from March to June 2020. 41% of the 88 had non-VA admissions and 23% died. 63% received VA primary care follow-up of COVID-19 symptoms documented by custom EHR templates. The HIE identified 11% of the facility COVID-19 patients. HIE alerts can be used to identify facility COVID-19 patients diagnosed in the community and facilitate follow-up by their VA primary care teams.
Objective To assess primary care teams’ perceptions of a health information exchange (HIE) event notification intervention for geriatric patients in 2 Veterans Health Administration (VHA) medical centers. Materials and Methods We conducted a qualitative evaluation of an event notification alerting primary care teams to non-VHA hospital admissions and emergency department visits. Data were collected through semistructured interviews (n = 23) of primary care team physicians, nurses and medical assistants. Study design and analysis were guided by the Consolidated Framework for Implementation Research (CFIR). Results Team members found the alerts necessary, helpful for filling information gaps, and effective in supporting timely follow-up care, although some expressed concern over scheduling capacity and distinguishing alerts from other VHA notices. Participants also suggested improvements including additional data on patients’ diagnosis and discharge instructions, timing alerts to patients’ discharge (including clear next steps), including additional team members to ensure alerts were acted upon, and implementing a single sign-on. Discussion Primary care team members perceived timely event notification of non-VHA emergency department visits and hospital admissions as potentially improving post-discharge follow-up and patient outcomes. However, they were sometimes unsure of next steps and suggested the alerts and platform could be streamlined for easier use. Conclusions Event notifications may be a valuable tool in coordinating care for high-risk older patients. Future intervention research should explore the optimal amount and types of information and delivery method across sites and test the integration of alerts into broader care coordination efforts.
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