Becoming an Agile Change Conductor

BackgroundIt takes decades and millions of dollars for a new scientific discovery to become part of clinical practice. In 2015, the Center for Health Innovation & Implementation Science (CHIIS) launched a Professional Certificate Program in Innovation and Implementation Sciences aimed at transforming healthcare professionals into Agile Change Conductors capable of designing, implementing, and diffusing evidence-based healthcare solutions.MethodIn 2022, the authors surveyed alumni from the 2016–2021 cohorts of the Certificate Program as part of an educational quality improvement inquiry and to evaluate the effectiveness of the program.ResultsOf the 60 alumni contacted, 52 completed the survey (87% response rate) with 60% of graduates being female while 30% were an under-represented minority. On a scale from 1 to 5, the graduates agreed that the certificate benefited their careers (4.308 with a standard deviation (SD) of 0.612); expanded their professional network (4.615, SD of 0.530); and had a large impact on the effectiveness of their leadership (4.288, SD of 0.667), their change management (4.365, SD of 0.742), and their communication (4.392, SD of 0.666). Graduates claimed to use Agile Processes (Innovation, Implementation, or Diffusion), storytelling, and nudging weekly. On a scale from 0 to 10 where 10 indicates reaching a mastery, the average score for different Agile competencies ranged from 5.37 (SD of 2.80) for drafting business proposals to 7.77 (SD of 1.96) for self-awareness. For the 2020 and 2021 cohorts with existing pre and post training competency data, 22 of the 26 competencies saw a statistically significant increase.ConclusionThe Graduate Certificate has been able to create a network of Agile Change Conductors competent to design, implement, and diffuse evidence-based care within the healthcare delivery system. Further improvements in building dissemination mastery and program expansion initiatives are advised

The Critical Care Recovery Center: An Innovative Collaborative Care Model for ICU Survivors

Five million Americans require admission to ICUs annually owing to life-threatening illnesses. Recent medical advances have resulted in higher survival rates for critically ill patients, who often have significant cognitive, physical, and psychological sequelae, known as postintensive care syndrome (PICS). This growing population threatens to overwhelm the current U.S. health care system, which lacks established clinical models for managing their care. Novel innovative models are urgently needed. To this end, the pulmonary/critical care and geriatrics divisions at the Indiana University School of Medicine joined forces to develop and implement a collaborative care model, the Critical Care Recovery Center (CCRC). Its mission is to maximize the cognitive, physical, and psychological recovery of ICU survivors. Developed around the principles of implementation and complexity science, the CCRC opened in 2011 as a clinical center with a secondary research focus. Care is provided through a pre-CCRC patient and caregiver needs assessment, an initial diagnostic workup visit, and a follow-up visit that includes a family conference. With its sole focus on the prevention and treatment of PICS, the CCRC represents an innovative prototype aimed at modifying post–critical illness morbidities and improving the ICU survivor's quality of life

Ongoing Medical Management to Maximize Health and Well-being for Persons Living With Dementia

Background and Objectives: Persons living with dementia have complex care needs including memory loss that should be taken into account by providers and family caregivers involved with their care. The prevalence of comorbid conditions in people with dementia is high and, thus, how primary care, community providers and family caregivers provide best practice care, person-centered care is important. Research Design and Methods: Care providers should understand the ongoing medical management needs of persons living with dementia in order to maximize their quality of life, proactively plan for their anticipated needs, and be as well prepared as possible for health crises that may occur. Results: This article provides eight practice recommendations intended to promote understanding and support of the role of nonphysician care providers in educating family caregivers about ongoing medical management to improve the wellbeing of persons living with dementia. Discussion and Implications: Key among these are recommendations to use nonpharmacological interventions to manage behavioral and psychological symptoms of dementia as the first line of treatment and recommendations on how to best support the use and discontinuation of pharmacological interventions as necessary

Risk factors for the progression of mild cognitive impairment to dementia

The increasing prevalence of cognitive impairment among the older adult population warrants attention to the identification of practices that may minimize the progression of early forms of cognitive impairment, including the transitional stage of mild cognitive impairment (MCI), to permanent stages of dementia. This article identifies both markers of disease progress and risk factors linked to the progression of MCI to dementia. Potentially modifiable risk factors may offer researchers a point of intervention to modify the effect of the risk factor and to minimize the future burden of dementia

Anticholinergics Influence Transition from Normal Cognition to Mild Cognitive Impairment in Older Adults in Primary Care

Study Objective To determine the influence of anticholinergic medications on transitions in cognitive diagnosis of older adults in primary care. Design This observational cohort study was conducted over a mean follow‐up of 3.2 years. Anticholinergic exposure was defined by pharmacy dispensing and claims records. Cognitive diagnosis was performed by an expert panel at baseline and annually up to 4 years. Data Source Medication exposure and other clinical data were extracted from the Indiana Network for Patient Care (INPC). The cognitive diagnosis was derived from a cognitive screening and diagnosis study. Participants A total of 350 adults 65 years and older without dementia and receiving primary care in a safety net health care system. Measurement and Main Results Cognitive diagnosis followed a two‐phase screening and consensus‐based neuropsychiatric examination to determine a baseline diagnosis as normal cognition, mild cognitive impairment (MCI), or dementia, with a follow‐up neuropsychiatric examination and consensus‐based diagnosis repeated annually. The Anticholinergic Cognitive Burden scale was used to identify anticholinergics dispensed up to 10 years before enrollment and annually throughout the study. A total standard daily dose of anticholinergics was calculated by using pharmacy dispensing data from the INPC. Among 350 participants, a total of 978 diagnostic assessments were completed over a mean follow‐up of 3.2 years. Compared with stable cognition, increasing use of strong anticholinergics calculated by total standard daily dose increased the odds of transition from normal cognition to MCI (odds ratio [OR] 1.15, 95% confidence interval [CI] 1.01–1.31, p = 0.0342). Compared with stable MCI, strong anticholinergics did not influence the reversion of MCI to normal cognition (OR 0.95, 95% CI 0.86–1.05, p = 0.3266). Conclusion De‐prescribing interventions in older adults with normal cognition should test anticholinergics as potentially modifiable risk factors for cognitive impairment

The Healthy Aging Brain Care (HABC) Monitor: validation of the Patient Self-Report Version of the clinical tool designed to measure and monitor cognitive, functional, and psychological health

BACKGROUND: Primary care providers need an inexpensive, simple, user-friendly, easily standardized, sensitive to change, and widely available multidomain instrument to measure the cognitive, functional, and psychological symptoms of patients suffering from multiple chronic conditions. We previously validated the Caregiver Report Version of the Healthy Aging Brain Care Monitor (HABC Monitor) for measuring and monitoring the severity of symptoms through caregiver reports. The purpose of this study was to assess the reliability and validity of the Patient Self-Report Version of the HABC Monitor (Self-Report HABC Monitor). DESIGN: Cross-sectional study. SETTING: Primary care clinics affiliated with a safety net urban health care system in Indianapolis, Indiana, USA. SUBJECTS: A total of 291 subjects aged ≥65 years with a mean age of 72.7 (standard deviation 6.2) years, 76% female, and 56% African Americans. ANALYSIS: Psychometric validity and reliability of the Self-Report HABC Monitor. RESULTS: Among 291 patients analyzed, the Self-Report HABC Monitor demonstrated excellent fit for the confirmatory factor analysis model (root mean square error of approximation =0.030, comparative fit index =0.974, weighted root mean square residual =0.837) and good internal consistency (0.78-0.92). Adequate convergent-divergent validity (differences between the Telephone Interview for Cognitive Status test-based cognitive function impairment versus nonimpairment groups) was demonstrated only when patients were removed from analysis if they had both cognitive function test impairment and suspiciously perfect self-report HABC Monitor cognitive floor scores of 0. CONCLUSION: The Self-Report HABC Monitor demonstrates good reliability and validity as a clinically practical multidimensional tool for measuring symptoms. The tool can be used along with its caregiver version to provide useful feedback (via monitoring of symptoms) for modifying care plans. Determining the validity of HABC Monitor scores from patients who self-report a perfect cognitive score of 0 requires cognitive function test results (eg, Telephone Interview for Cognitive Status or Mini Mental State Examination) or Caregiver Report HABC Monitor scores or further clinical examination to rule out the possibility that the patient is denying or unaware of their cognitive symptoms

Acceptability and Results of Dementia Screening Among Older Adults in the United States

OBJECTIVES: To measure older adults acceptability of dementia screening and assess screening test results of a racially diverse sample of older primary care patients in the United States. DESIGN: Cross-sectional study of primary care patients aged 65 and older. SETTING: Urban and suburban primary care clinics in Indianapolis, Indiana, in 2008 to 2009. PARTICIPANTS: Nine hundred fifty-four primary care patients without a documented diagnosis of dementia. MEASUREMENTS: Community Screening Instrument for Dementia, the Mini-Mental State Examination, and the Telephone Instrument for Cognitive Screening. RESULTS: Of the 954 study participants who consented to participate, 748 agreed to be screened for dementia and 206 refused screening. The overall response rate was 78.4%. The positive screen rate of the sample who agreed to screening was 10.2%. After adjusting for demographic differences the following characteristics were still associated with increased likelihood of screening positive for dementia: age, male sex, and lower education. Patients who believed that they had more memory problems than other people of their age were also more likely to screen positive for dementia. CONCLUSION: Age and perceived problems with memory are associated with screening positive for dementia in primary care

Human factors in mental healthcare : A work system analysis of a community-based program for older adults with depression and dementia

Mental healthcare is a critical but largely unexplored application domain for human factors/ergonomics. This paper reports on a work system evaluation of a home-based dementia and depression care program for older adults, the Aging Brain Care program. The Workflow Elements Model was used to guide data collection and analysis of 59 h of observation, supplemented by key informant input. We identified four actors, 37 artifacts across seven types, ten action categories, and ten outcomes including improved health and safety. Five themes emerged regarding barriers and facilitators to care delivery in the program: the centrality of relationship building; the use of adaptive workarounds; performance of duplicate work; travel and scheduling challenges; and communication-related factors. Findings offer new insight into how mental healthcare services are delivered in a community-based program and key work-related factors shaping program outcomes

The confusion assessment method for the intensive care unit in patients with cirrhosis

In the intensive care unit (ICU), delirium is routinely measured with the widely-used, validated Confusion Assessment Method for the ICU (CAM-ICU), but CAM-ICU has not been studied in patients with cirrhosis. We studied a group of patients with cirrhosis to determine the relationship between delirium measured by CAM-ICU and clinical outcomes. Consecutive patients with cirrhosis admitted to the ICU from 2009 to 2012 were included in a retrospective cohort study. Patients were screened twice daily for coma and delirium during their ICU stay using the Richmond Agitation Sedation Scale (RASS) and CAM-ICU. The association between delirium/coma and mortality was determined using multiple logistic regression. RASS and CAM-ICU were also compared to a retrospective assessment of hepatic encephalopathy (HE). Of 91 patients with cirrhosis, 26 (28.6 %) developed delirium/coma. RASS/CAM-ICU had fair agreement with the HE assessment (κ 0.38). Patients with delirium/coma had numerically greater mortality in-hospital (23.1 vs. 7.7 %, p = 0.07) and at 90 days (30.8 vs. 18.5 %, p = 0.26), and they also had longer hospital length of stay (median 19.5 vs. 6 days, p < 0.001). Delirium/coma was associated with increased inpatient mortality, independent of disease severity (unadjusted OR 3.6; 95 % CI, 0.99-13.1; MELD-adjusted OR 5.4; 95 % CI, 1.3-23.8; acute physiology score-adjusted OR 2.2; 95 % CI, 0.53-8.9). Delirium/coma was also associated with longer length of stay after adjusting for disease severity. In critically ill patients with cirrhosis, delirium/coma as measured by the RASS and CAM-ICU is associated with increased mortality and hospital length of stay. For these patients, these measures provide valuable information and may be useful tools for clinical care. RASS and CAM-ICU need to be compared to HE-specific measures in future studies