Barriers to delirium screening and management during hospital admission: a qualitative analysis of inpatient nursing perspectives

BACKGROUND

Delirium in hospitalized patients is a major public health issue, yet delirium is often unrecognized and missed during inpatient admission. The objective of this study was to identify barriers to delirium screening, identification, and management from a nursing perspective on inpatient, acute care units.

METHODS

This was a pre-implementation, diagnostic evaluation study to determine current practice patterns and potential barriers to optimizing delirium care at a major university hospital. A qualitative approach was used, which included focus groups of inpatient nurses working on major medical and surgical acute care units. Focus groups were conducted until signs of thematic saturation were present, and data were analyzed via inductive thematic analysis, without predetermined theories or structures. A consensus approach was utilized for transcript coding, and final themes were generated after multiple reviews of initial themes against transcript datasets.

RESULTS

Focus group sessions (n = 3) were held with 18 nurses across two major inpatient units. Nurses reported several barriers to successful delirium screening and management. Specific challenges included difficulty with using delirium screening tools, an organizational culture not conducive to delirium prevention, and competing clinical priorities. Proposed solutions were also discussed, including decision-support systems with automated pager alerts and associated delirium order sets, which may help improve delirium care coordination and standardization.

CONCLUSION

At a major university hospital, nurses affirm the difficulty experienced with delirium screening and identification, particularly due to screening tool challenges, cultural barriers, and clinical workload. These impediments may serve as targets for a future implementation trial to improve delirium screening and management.

Building Resident Quality Improvement Knowledge and Engagement Through a Longitudinal, Mentored, and Experiential Learning-Based Quality Improvement Curriculum

Introduction

Quality improvement (QI) training is an essential component of resident medical education and a part of the ACGME core competencies. We present our residency's evidence-based QI curriculum, which outlines key components identified in the literature for successful QI education.

Methods

Our curriculum included a mandatory five-part longitudinal educational series during ambulatory education sessions for second-year residents. Modeled after the Institute for Healthcare Improvement model for improvement and taught by a chief resident, our curriculum introduced residents to key QI concepts through case-based, just-in-time didactics and applied experiential learning via concurrent resident-led longitudinal QI projects. Residents received structured, multilayer mentorship from a faculty mentor in their field of interest and the chief resident of quality and patient safety. Their work-in-progress projects were presented to faculty QI experts and institutional leadership for additional feedback and mentorship.

Results

Since 2016, a total of 234 internal medicine residents have completed our QI curriculum and developed 67 QI projects, which have been presented at various local, regional, and national conferences. In the 2 most recent academic years, Quality Improvement Knowledge Application Tool Revised (QIKAT-R) scores significantly increased from 4.6 precurriculum to 6.3 postcurriculum (p < .001).

Discussion

A longitudinal, experiential, and mentored QI curriculum teaches residents QI skill sets through incorporating mechanisms associated with successful educational initiatives and adult learning theory. Our QIKAT-R results and project output show that our curriculum is associated with improved trainee QI knowledge and systems-level improvements.

Risk of early- and late-onset Alzheimer disease and related dementia in adults with cerebral palsy

AIM

To examine the risk of Alzheimer disease and related dementia (ADRD) among adults with cerebral palsy (CP).

METHOD

Using administrative insurance claims data for 2007 to 2017 in the USA, we identified adults (45y or older) with a diagnosis of CP (n=5176). Adults without a diagnosis of CP were included as a typically developing comparison group (n=1 119 131). Using age, sex, ethnicity, other demographic variables, and a set of chronic morbidities, we propensity-matched individuals with and without CP (n=5038). Cox survival models were used to estimate ADRD risk within a 3-year follow up.

RESULTS

The unadjusted incidence of ADRD was 9 and 2.4 times higher among cohorts of adults 45 to 64 years (1.8%) and 65 years and older (4.8%) with CP than the respective unmatched individuals without CP (0.2% and 2.0% among 45-64y and 65y or older respectively). Fully adjusted survival models indicated that adults with CP had a greater hazard for ADRD (among 45-64y: unmatched hazard ratio 7.48 [95% confidence interval {CI} 6.05-9.25], matched hazard ratio 4.73 [95% CI 2.72-8.29]; among 65y or older: unmatched hazard ratio 2.21 [95% CI 1.95-2.51], matched hazard ratio 1.73 [1.39-2.15]).

INTERPRETATION

Clinical guidelines for early screening of cognitive function among individuals with CP need updating, and preventative and/or therapeutic services should be used to reduce the risk of ADRD.

Diagnosis of Alzheimer's disease and related dementia among people with multiple sclerosis: Large cohort study, USA

BACKGROUND

Alzheimer's disease and related dementia (ADRD) and multiple sclerosis (MS) are two neurodegenerative diseases with some shared pathophysiological characteristics. While the salient attribute of ADRD is a progressive decline in cognitive function, MS is mainly known for causing physical weakness, vision loss, and muscle stiffness. Progressive cognitive decline, however, is not uncommon among MS patients, and many case reports of MS were indicative of ADRD coexistence. Due to a lack of large epidemiological studies on this topic, we aimed to examine time to diagnosis of and adjusted hazard for ADRD using administrative claims data, comparing adults with and without MS.

METHODS

Using 2007-2017 private claims data from Optum Clinformatics Data Mart in the U.S., we identified adults (45+) with a MS diagnosis (n = 6151) as well as adults without MS for comparison (n = 916,143). We propensity score matched people with MS with those without (n = 6025) using age, sex, race/ethnicity, chronic conditions including cardiometabolic, psychologic, and musculoskeletal, U.S. Census Division, and socioeconomic variables. In addition to incidence estimates of ADRD diagnosis compared at 4-years, survival models were utilized to quantify unadjusted, fully adjusted, and adjusted propensity-matched hazard ratios.

RESULTS

Unmatched data revealed that incidence of early-onset ADRD diagnosis was 7 times higher among adults 45-64 years old with MS (1.4%) compared to those without (0.2%); among older adults (65+) with MS, incident ADRD was 4.0% compared to 3.3% among those without MS. Adjusted survival models indicated that adults with MS had a substantially high risk for early-onset ADRD diagnosis (among 45-64 years old: unmatched hazard ratio (HR): 4.25 (95% CI: 3.40 -5.32), matched HR: 4.49 (95% CI:2.62-7.69); among 65+ years old: unmatched HR: 1.39 (95% CI: 1.22, 1.58), matched HR: 1.26 (1.04, 1.54)).

CONCLUSIONS

Individuals with MS had a greater incidence of and risk for early- and late-onset ADRD diagnosis compared to those without MS. It is not clear whether this greater risk is due to an accelerated dementia risk or at least partially due to clinical misdiagnosis. Advancements in the development of clinical and imaging biomarkers should be more commonly used in clinical settings to facilitate future research on this topic.

Behaviours of older adults and caregivers preparing for elective surgery: a virtually conducted mixed-methods research protocol to improve surgical outcomes

INTRODUCTION

Older adults (age ≥65 years) are pursuing increasingly complex, elective surgeries; and, are at higher risk for intraoperative and postoperative complications. Patients and their caregivers frequently struggle with the postoperative recovery process at home, which may contribute to complications. We aim to identify opportunities to intervene during the preoperative period to improve postoperative outcomes by understanding the preparatory behaviours of older adults and their caregivers before a complex, elective surgery.

METHODS AND ANALYSIS

As a result of the COVID-19 pandemic, we will conduct this study via telephone and videoconferencing. Using a multiphase mixed-methods research design, we will collect data on 10-15 patient-caregiver dyads from a pool of older adults (across a spectrum of cognitive abilities) scheduled for an elective colorectal surgery between 1 July 2020 and 30 May 2021. We will collect quantitative and qualitative data before (T1, T2) and after (T3, T4) surgery. Preoperatively, participants will each complete a cognitive assessment and a semi-structured qualitative interview that focuses on their preparatory behaviours (T1). They will then answer questionnaires about mood, self-efficacy and home environment (T2). Three weeks following hospital discharge, participants will complete another qualitative interview focusing on a comparison of preoperative and postoperative preparedness (T3). Researchers will also collect information about the patient's medical conditions, the postoperative complications and healthcare utilisation from the patient's chart 30 days following discharge (T4). We will code and conduct thematic analysis of the qualitative data to identify salient themes. Quantitative data will be analysed using basic descriptive statistics to characterise the participants. We will integrate the qualitative and quantitative findings using results from the quantitative scales to group participants and with use of joint display analysis.

ETHICS AND DISSEMINATION

Ethics approval was obtained from the University of Michigan IRB. Study findings will be disseminated through peer-reviewed journals and presentations at conferences.

Recommendations and Alerting for Delirium Alleviation in Real-Time (RADAR): Protocol for a pilot randomized controlled trial

Background: Delirium is a common and serious complication of major surgery for older adults. Postoperative social and behavioral support (e.g., early mobilization, mealtime assistance) may reduce the incidence and impact of delirium, and these efforts are possible with proactive patient-care programs. This pilot trial tests the hypothesis that a multicomponent decision support system, which sends automated alerts and recommendations to patient-care programs and family members for high-risk patients, will improve the postoperative environment for neurocognitive and clinical recovery. Methods: This will be a randomized, controlled, factorial pilot trial at a large academic medical center. High-risk, non-cardiac surgery patients (≥70 years old) will be recruited. Patients will be allocated to a usual care group (n=15), Hospital Elder Life Program (HELP)-based paging system (n=15), family-based paging system (n=15), or combined HELP- and family-based system (n=15). The primary outcome will be the presence of delirium, defined by positive long-form Confusion Assessment Method screening. Secondary outcomes will include additional HELP- and family-based performance metrics along with various neurocognitive and clinical recovery measures. Exploratory outcomes include the incidence of positive family-based delirium assessments post-discharge, 36-item Short Form Survey, PROMIS Cognitive Function Abilities Subset 4a, and 30-day readmission rates. Ethics and dissemination: This trial has received approval by the University of Michigan Medical Institutional Review Board (IRBMED). Dissemination plans include presentation at scientific conferences, publication in medical journals, and distribution via educational and news media. Registration: ClinicalTrials.gov Identifier NCT04007523, registered on 7/3/2019.

Recommendations and Alerting for Delirium Alleviation in Real-Time (RADAR): Protocol for a pilot randomized controlled trial

Background: Delirium is a common and serious complication of major surgery for older adults. Postoperative social and behavioral support (e.g., early mobilization, mealtime assistance) may reduce the incidence and impact of delirium, and these efforts are possible with proactive patient-care programs. This pilot trial tests the hypothesis that a multicomponent decision support system, which sends automated alerts and recommendations to patient-care programs and family members for high-risk patients, will improve the postoperative environment for neurocognitive and clinical recovery. Methods: This will be a randomized, controlled, factorial pilot trial at a large academic medical center. High-risk, non-cardiac surgery patients (≥70 years old) will be recruited. Patients will be allocated to a usual care group (n=15), Hospital Elder Life Program (HELP)-based paging system (n=15), family-based paging system (n=15), or combined HELP- and family-based system (n=15). The primary outcome will be the presence of delirium, defined by positive long-form Confusion Assessment Method screening. Secondary outcomes will include additional HELP- and family-based performance metrics along with various neurocognitive and clinical recovery measures. Exploratory outcomes include the incidence of positive family-based delirium assessments post-discharge, 36-item Short Form Survey, PROMIS Cognitive Function Abilities Subset 4a, and 30-day readmission rates. Ethics and dissemination: This trial has received approval by the University of Michigan Medical Institutional Review Board (IRBMED). Dissemination plans include presentation at scientific conferences, publication in medical journals, and distribution via educational and news media. Registration: ClinicalTrials.gov Identifier NCT04007523, registered on 7/3/2019.