IMPORTANCE Few health systems have adopted effective dementia care management programs. The Care Ecosystem is a model for delivering care from centralized hubs across broad geographic areas to caregivers and persons with dementia (PWDs) independently of their health system affiliations. OBJECTIVE To determine whether the Care Ecosystem is effective in improving outcomes important to PWDs, their caregivers, and payers beyond those achieved with usual care. DESIGN, SETTING, AND PARTICIPANTS A single-blind, randomized clinical trial with a pragmatic design was conducted among PWDs and their caregivers. Each PWD-caregiver dyad was enrolled for 12 months between March 20, 2015, and February 28, 2017. Data were collected until March 5, 2018. Study interventions and assessments were administered over the telephone and internet by clinical and research teams in San Francisco, California, and Omaha, Nebraska. Of 2585 referred or volunteer PWD-caregiver dyads in California, Iowa, or Nebraska, 780 met eligibility criteria and were enrolled. A total of 512 PWD-caregiver dyads were randomized to receive care through the Care Ecosystem and 268 dyads to receive usual care. All eligible PWDs had a dementia diagnosis; were enrolled or eligible for enrollment in Medicare or Medicaid; and spoke English, Spanish, or Cantonese. Analyses were intention-to-treat. INTERVENTION Telephone-based collaborative dementia care was delivered by a trained care team navigator, who provided education, support and care coordination with a team of dementia specialists (advanced practice nurse, social worker, and pharmacist). MAIN OUTCOMES AND MEASURES Primary outcome measure: Quality of Life in Alzheimer's Disease based on caregiver's rating of 13 aspects of PWD's well-being (including physical health, energy level, mood, living situation, memory, relationships, and finances) on a 4-point scale (poor to excellent). Secondary outcomes: frequencies of PWDs' use of emergency department, hospitalization, and ambulance services; caregiver depression (score on 9-Item Patient Health Questionnaire; higher scores indicate more severe depression); and caregiver burden (score on 12-Item Zarit Burden Interview; higher scores indicate more severe caregiver burden). RESULTS The 780 PWDs (56.3% female; mean [SD] age, 78.1 [9.9] years) and 780 caregivers (70.9% female; mean [SD] age, 64.7 [12.0] years) lived in California (n = 452), Nebraska (n = 284), or Iowa (n = 44). Of 780 dyads, 655 were still active at 12 months, and 571 completed the 12-month survey. Compared with usual care, the Care Ecosystem improved PWD quality of life (B, 0.53; 95% CI, 0.25-1.30; P = .04), reduced emergency department visits (B, −0.14; 95% CI, −0.29 to −0.01; P = .04), and decreased caregiver depression (B, −1.14; 95% CI, −2.15 to −0.13; P = .03) and caregiver burden (B, −1.90; 95% CI, −3.89 to −0.08; P = .046). CONCLUSIONS AND RELEVANCE Effective care management for dementia can be delivered from centralized hubs to supplement usual care and mitigate the growing societal and economic b...
Use of propofol versus dexmedetomidine to induce sedation may have a significant effect on the pattern of upper airway obstruction observed during DISE. Randomized prospective studies are indicated to confirm these initial findings.
Insomnia is a common sleep disorder among older adults, and a risk factor for poor physical and mental health. However, the relationship between insomnia and cognitive health is not well understood. Here, we review observational studies that have investigated whether insomnia is associated with deficits in objective cognitive performance and an increased risk of dementia, magnetic resonance imaging studies that have assessed grey matter volumes and white matter microstructure, and interventional studies that have explored whether the treatment of insomnia can improve cognitive outcomes. There are inconsistent findings regarding impaired performance in objective cognitive tests and reduced grey matter volumes, and limited, emerging, evidence that suggests that insomnia is associated with an increased risk of dementia and reduced white matter integrity. Although the interventional literature is still in its infancy, there is some indication that treatment may have an impact on vigilance. Well-powered studies examining sources of heterogeneity are warranted.
OBJECTIVES Care coordination programs can improve patient outcomes and decrease healthcare expenditures; however, implementation costs are poorly understood. We evaluate the direct costs of implementing a collaborative dementia care program. DESIGN We applied a micro‐costing analysis to calculate operational costs per‐participant‐month between March 2015 and May 2017. SETTING The University of California, San Francisco (UCSF) and the University of Nebraska Medical Center (UNMC). PARTICIPANTS Participants diagnosed with dementia, enrolled in Medicare or Medicaid, 45 years of age or older, residents of California, Nebraska or Iowa, and having a caregiver. The sample was 272 (UCSF) and 192 (UNMC) participants. INTERVENTION A collaborative dementia care program provided by care team navigators (CTNs), advanced practice nurses, a social worker, and a pharmacist, focusing on caregiver support and education, medications, advance care planning, and behavior symptom management. MEASUREMENTS We measured costs (personnel, supplies, equipment, and training costs) during three program periods, Start‐up, Early Operations, and Continuing Operations, and estimated the effects of caseload variation on costs. RESULTS Start‐up and Early Operations costs were, respectively, $581 and $328 (California), and $501 and $219 (Nebraska) per‐participant‐month. Average costs decreased across phases to $241 (California) and $142 (Nebraska) per‐participant‐month during Continuing Operations. We estimated that costs would range between $75 (UNMC) and $92 (UCSF) per‐participant‐month with the highest projected caseloads (90). CONCLUSION We found that CTN caseload is an important driver of service cost. We provide strategies for maximizing caseload without sacrificing quality of care. We also discuss current barriers to broad implementation that can inform new reimbursement policies. J Am Geriatr Soc 67:2628–2633, 2019
Objective: To identify the prevalence and characteristics of people living with dementia (PLWD) lost to follow-up (LTFU) from a specialized dementia care clinic and to understand factors influencing patient follow-up status. Methods:We conducted a retrospective chart review of PLWD seen at a dementia care clinic 2012-2017 who were deceased as of 2018 (n = 746). Participants were evaluated for follow-up status at the time of death. Generalized linear regression was used to analyze demographic and diagnostic characteristics by follow-up status.Text extracted from participant medical records was analyzed using qualitative content analysis to identify reasons patients became LTFU.Results: Among PLWD seen at a dementia care clinic, 42% became LTFU before death, 39% of whom had chart documentation describing reasons for loss to followup. Increased rates of LTFU were associated with female sex (risk ratio 1.27, [95% confidence interval 1.09-1.49]; p = 0.003), educational attainment of high school or less (1.34, [1.13-1.61]; p = 0.001), and death in a long-term care facility (1.46, [1.19-1.80]; p = 0.003). Commonly documented reasons for not returning for care at the clinic included switching care to another provider (42%), logistical difficulty accessing care (26%), patient-family decision to discontinue care (24%), and functional challenges in accessing care (23%).Conclusions: PLWD are LTFU from specialized memory care at high rates. Attention to care coordination, patient-provider communication, and integrated use of alternative care models such as telehealth are potential strategies to improve care. K E Y W O R D Saccess to care, ambulatory, care coordination, continuity of care, dementia, end-of-life, lost to follow-up, memory care, mixed methods, outpatient Key points� Among people living with dementia seen at a specialized memory care center, 42% became lost to follow-up (LTFU) before death.� LTFU rates were higher among women and patients with lower educational attainment.
This study evidenced the limitations and potential use of portable devices in screening patients for SDB. Additional research should evaluate the accuracy of devices when used at home.
Replacing an undivided nasal cannula with a divided nasal cannula is easy to implement, adding another physiologic measure to polysomnography. Although the divided nasal cannula did not significantly affect traditional polysomnographic metrics such as the apnea-hypopnea index or periodic limb movement index based on this small pilot study, we were able to replicate past nasal cycle findings that may be of interest to sleep clinicians and researchers. Given the ease with which the divided nasal cannula can be integrated, we encourage other sleep researchers to investigate the utility of using a divided nasal cannula during polysomnography.
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