Cost-effectiveness of chronic fatigue self-management versus usual care: a pilot randomized controlled trial.

BACKGROUND: Fatigue is a common yet difficult to treat condition in primary care. The objective of this study is to evaluate the cost-effectiveness of a brief cognitive behavioral therapy (CBT) based fatigue self-management (FSM) intervention as compared to usual care among patients with chronic fatigue in primary care. METHODS: An economic evaluation alongside of a parallel randomized controlled study design was used. Computer-generated variable-sized block randomization plan was used to assign patients into treatment groups and data collection staff were blinded to group assignments. Patients aged between 18 and 65 years with at least six months of persistent fatigue and no medical or psychiatric exclusions were enrolled from a large primary care practice in Stony Brook, New York. The FSM group (n = 37) received two sessions of a nurse-delivered, fatigue self-management protocol and a self-help book and the usual care group (n = 36) received regular medical care. The effectiveness measure was the Fatigue Severity Scale and the cost measure was total health care expenditures derived from monthly health services use diaries during follow-up. A societal perspective was adopted and bootstrapped incremental cost-effectiveness ratios (ICERs) and net monetary benefit (NMB) were calculated as measures of cost-effectiveness. RESULTS: The ICER for FSM was -$$2358, indicating that FSM dominates UC and it may generate societal cost savings as compared to usual care. Complete case analysis yielded smaller ICER (-$1199) with greater uncertainties. Net monetary benefit analysis showed that FSM has a probability of 0.833 (95% CI: 0.819, 0.847) to achieve positive NMB and the favorable results were not sensitive to assumptions about informal care or treatment costs. CONCLUSION: This economic evaluation found initial evidence that a two-session brief CBT-based FSM may be cost-effective as compared to usual care over 12 months. The FSM intervention is potentially a promising intervention for chronic fatigue patients in primary care. Additional research is needed to examine the reproducibility and generalizability of these findings. TRIAL REGISTRATION: ClinicalTrials.gov (NCT00997451, March 28, 2009).

It is time for a new comprehensive medication review quality measure.

Medication therapy management (MTM) services include comprehensive medication reviews (CMRs), which have been completed with millions of patients since their inception in the United States. The current MTM quality measure focuses on whether CMRs were completed (ie, the CMR completion rate). However, this process measure does not assess quality of care, or patient-reported or other outcomes of CMRs, and, therefore, does not reward MTM providers for improving health outcomes. In this viewpoint article, we present 3 reasons that shape our argument for new MTM quality measures and offer recommendations on next steps to achieve this. DISCLOSURES: Dr Vaffis is an employee of Clinical Outcomes Solutions and discloses this was work was completed previously during her employment at the University of Arizona. Dr Dhatt is an employee of Janssen and discloses this was work was completed previously during her employment at the University of Arizona. Dr Anderson is an employee of The Freedom Fund and discloses this was work was completed previously during her employment at the University of Arizona. Dr Black is an employee of Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA. Dr Campbell received funding from Pharmacy Quality Alliance, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA, and SinfoniaRx and discloses this work was completed previously during his employment at the University of Arizona. Dr Kolobova is an employee of Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA. Dr Hines is an employee of Pharmacy Quality Alliance. Dr Castora-Binkley is an employee of Pharmacy Quality Alliance. Dr Nelson is an employee of Pharmacy Quality Alliance. Dr Axon received funding from Pharmacy Quality Alliance, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA, and SinfoniaRx. Dr Warholak received funding from Pharmacy Quality Alliance, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA, and SinfoniaRx and discloses this was work was completed previously during her employment at the University of Arizona.

Inclusion of caregiver supports and services in home- and community-based service programs: recent reports from state units on aging.

Caregivers have an important role in assisting frail and/or disabled individuals to maintain their independence in the community. Support to assist caregivers in this often stressful and demanding role is critical to sustaining the caregivers' health and ability to provide care. This paper reviews federal policy changes since 2000 that have expanded and enhanced services for informal caregivers. Next, data collected from State Units on Aging and other state agencies are presented to describe the extent to which caregiver services are included in home- and community-based programs under three funding streams (Medicaid waivers, Centers for Medicare and Medicaid Services-funded programs, and state-funded programs). Program characteristics, such as eligibility and consumer-directed options, are included. Finally, the accomplishments and initiatives reported by state respondents related to supporting informal caregivers are also explained. Results indicate that services for informal caregivers are receiving greater attention and are frequently offered under home- and community-based service programs by the states that participated in this study.

Home health agency adoption of quality improvement activities and association with performance.

BACKGROUND: The Centers for Medicare & Medicaid Services (CMS) Home Health Quality Reporting Program (HHQRP) uses performance measurement to spur improvements in home health agencies' (HHAs') quality of care. We examined quality improvement (QI) activities HHAs reported making to improve on HHQRP quality measures, and whether reported QI activities were associated with better measure performance. METHODS: We used responses (N = 1052) from a Web- and mail-based survey of a stratified random sample of HHAs included in CMS Home Health Compare in October 2019. We estimated national adoption rates for 27 possible QI activities related to organizational culture, health information technology, care process redesign, provider incentives, provider training, changes to staffing responsibilities, performance monitoring, and measure-specific QI initiatives and technical assistance. We used multivariate linear regression to examine the associations between HHA characteristics and QI adoption, and between QI adoption and CMS Home Health Quality of Patient Care Star Rating. RESULTS: HHAs reported implementing an average of 16 QI activities (interquartile range 11-19 activities). Larger HHA size was associated with adopting 1.6 additional QI activities (p < 0.001). HHAs with higher proportions of disabled, black, or Hispanic patients adopted QI activities at similar or higher rates as other HHAs. Of the 27 QI activities, 23 were considered helpful by more than 80% of adopting HHAs. Compared with adopting 44% of QI activities (10th percentile among HHAs), adopting 89% of QI activities (90th percentile) was associated with a 0.4-star higher Star Rating (95% confidence interval 0.2-0.6). CONCLUSIONS: HHAs report implementing a significant number of QI activities in response to CMS measurement programs; implementation of a greater number of activities is associated with better performance on publicly reported measures. To guide future HHA QI investments, work is needed to identify the optimal combination of QI activities and the specific QI activities that yield the greatest performance improvements.

A longitudinal analysis of the influence of race on cognitive performance.

OBJECTIVES: Whether there are racial and ethnic disparities in the rate of cognitive decline among older adults is not clear. The purpose of this study was to determine if there are differences in cognitive decline among racial and ethnic older adults. METHOD: Data were from the Health and Retirement Study, waves 1998-2010. Participants were community dwelling at baseline (n = 9,492), mostly female participants (58.8%), ranged in age from 65 to 105 years (M = 74.41, SD = 6.97), and had education levels that averaged less than high school (M = 11.7, SD = 3.4). Cognition was examined using a combined score from word recall, Serial 7's, backward counting, and naming tasks. To determine changes in cognition across 12 years, we utilized mixed effects models. RESULTS: Results indicated that after adjusting for covariates, race or ethnicity was unrelated to changes in cognitive performance, but there were significant differences in baseline cognition and these differences were more pronounced after adjusting for age, gender, education, poverty, heart disease, diabetes, high blood pressure. DISCUSSION: It is evident that there are significant differences in baseline cognition, although the rate of cognitive decline across 12 years did not vary significantly by race. These findings support previous assertions that the rate of cognitive decline is not associated with race and suggest that it is likely that baseline cognitive performance is a better indicator of performance over time.

The Efficacy of InSight Cognitive Training to Improve Useful Field of View Performance: A Brief Report.

OBJECTIVE: It is well established that cognitive speed of processing training (SOPT) improves Useful Field of View (UFOV) performance and transfers to enhanced performance of instrumental activities of daily living, including driving. InSight is a recently developed version of SOPT formatted for self-administration by older adults with exercises translated into a gaming format. The goal was to examine whether InSight training improves UFOV performance. METHOD: Participants ranged in age between 59-95 years and were randomized to InSight cognitive training or a control condition. Cognitive performance and self-perceptions were measured pre- and post-training, or for controls, after an equivalent delay. Participants completed training twice a week over a 12-week period with the goal of completing 20 sessions. RESULTS: Participants randomized to InSight training experienced greater improvements in their UFOV performance relative to the control condition, F(1, 58) = 4.26, p = .043, but no changes in cognitive self-perceptions were found. CONCLUSIONS: The InSight program is a viable tool for enhancing older adults' UFOV performance. Future research should examine if training gains from the program endure and transfer to improved everyday function.

Predictors of long-term nursing home placement under competing risk: evidence from the Health and Retirement Study.

OBJECTIVES: To examine predictors of long-term nursing home placement (LTNHP) while controlling for mortality as a competing risk event. DESIGN: Longitudinal. SETTING: Health and Retirement Study, 1998-2010. PARTICIPANTS: Nationally representative sample of community-living older adults (N = 10,385). MEASUREMENTS: Longitudinal data were used with a maximum follow-up of 12 years. First, a traditional Cox proportional hazards model was estimated treating death as an uninformative censoring event. A joint cause-specific hazards model that accounts for the competing risk of mortality in estimating the risk of LTNHP was then estimated. RESULTS: The effect of adjusting for competing risk of mortality is evident for nearly all predictors of LTNHP. Predictors were over- or underestimated in the traditional Cox model, and several predictors changed in the direction of the association, whereas others changed in magnitude. For example, after controlling for mortality, women aged 85 and older had more than twice the risk (hazard ratio = 7.23, 95% confidence interval = 5.18-10.10) of LTNHP than evidenced in the traditional Cox model. CONCLUSION: Whenever possible, the competing risk of mortality should be recognized and adjusted in developing screening tools and predictive risk models for LTNHP.