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Challenges with cost-utility analyses of behavioural interventions among older adults at risk for dementia.

ABSTRACT: Cognitive decline is one of the most prominent healthcare issues of the 21st century. Within the context of combating cognitive decline through behavioural interventions, physical activity is a promising approach. There is a dearth of health economic data in the area of behavioural interventions for dementia prevention. Yet, economic evaluations are essential for providing information to policy makers for resource allocation. It is essential we first address population and intervention-specific methodological challenges prior to building a larger evidence base. We use a cost-utility analysis conducted alongside the exercise for cognition and everyday living (EXCEL) study to illustrate methodological challenges specific to assessing the cost-effectiveness of behavioural interventions aimed at older adults at risk of cognitive decline.A cost-utility analysis conducted concurrently with a 6-month, three-arm randomised controlled trial (ie, the EXCEL study) was used as an example to identify and discuss methodological challenges.Both the aerobic training and resistance training interventions were less costly than twice weekly balance and tone classes. In critically evaluating the economic evaluation of the EXCEL study we identified four category-specific challenges: (1) analysing costs; (2) assessing quality-adjusted life-years; (3) Incomplete data; and (4) 'Intervention' activities of the control group.Resistance training and aerobic training resulted in healthcare cost saving and were equally effective to balance and tone classes after only 6?months of intervention. To ensure this population is treated fairly in terms of claims on resources, we first need to identify areas for methodological improvement.

SUBMITTER: Davis JC

PROVIDER: S-EPMC4318691 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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Challenges with cost-utility analyses of behavioural interventions among older adults at risk for dementia.

Davis Jennifer C JC Bryan Stirling S Marra Carlo A CA Hsiung Ging-Yuek R GY Liu-Ambrose Teresa T

British journal of sports medicine 20131106 20

<h4>Background</h4>Cognitive decline is one of the most prominent healthcare issues of the 21st century. Within the context of combating cognitive decline through behavioural interventions, physical activity is a promising approach. There is a dearth of health economic data in the area of behavioural interventions for dementia prevention. Yet, economic evaluations are essential for providing information to policy makers for resource allocation. It is essential we first address population and int ...[more]

PMID: 24195918

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Project description:BackgroundRoughly 80% of total energy intake (TEI) in most human diets originates from digestible carbohydrates (eCarb) and fat (eFat), but the impact of their proportions on cognitive performance is poorly understood.ObjectivesOur primary aim was to investigate estimates of global cognition in relation to macronutrient intake, with the log-ratio eCarb/eFat (CFr) as the primary predictor variable of interest. Secondary predictors were protein and the saturated/total fat ratio. Exploratory comparisons of CFr with eCarb and eFat as separate predictors were an additional aim.MethodsThe observations were made on panel data (years 0, 1, 2) from the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability, n = 1251; age 60-77 y; 47% females; selected by risk factors for dementia. Self-reported diet was assessed by 3-d food records. Global cognition was measured using a modified Neuropsychological Test Battery. A mixed linear regression model was used, adjusted for age, sex, education, body-mass index, cholesterol-lowering drugs, TEI, time, time × intervention/control group, with study site and subject as random factors. Estimates were standardized (mean = 0; SD = 1) with 95% CI.ResultsCFr had a negative estimate to global cognition (β = -0.022, CI: -0.039, -0.005; P = 0.011). The point estimate for protein was β = 0.013 (P = 0.41), and for the saturated/total fat ratio, associations with cognition were nonlinear. CFr correlated highly with eCarb (Pearson's r = 0.92) and eFat (r = -0.94). The point estimate for CFr fell between eCarb (β = -0.026, P < 0.001) and (inversely) eFat (β = 0.017, P = 0.090).ConclusionsA lower CFr was associated with better global cognition among older adults at risk for dementia. Because this is an important target group for preventive interventions, clinical trials are warranted to further investigate the impact of macronutritional composition on cognitive health. The potential role of CFr as a predictor for cognitive health should be further studied.

Project description:BackgroundThe evidence concerning which physical exercise characteristics are most effective for older adults is fragmented. We aimed to characterize the extent of this diversity and inconsistency and identify future directions for research by undertaking a systematic review of meta-analyses of exercise interventions in older adults.MethodsWe searched the Cochrane Database of Systematic Reviews, PsycInfo, MEDLINE, Embase, CINAHL, AMED, SPORTDiscus, and Web of Science for articles that met the following criteria: (1) meta-analyses that synthesized measures of improvement (e.g., effect sizes) on any outcome identified in studies of exercise interventions; (2) participants in the studies meta-analyzed were adults aged 65+ or had a mean age of 70+; (3) meta-analyses that included studies of any type of exercise, including its duration, frequency, intensity, and mode of delivery; (4) interventions that included multiple components (e.g., exercise and cognitive stimulation), with effect sizes that were computed separately for the exercise component; and (5) meta-analyses that were published in any year or language. The characteristics of the reviews, of the interventions, and of the parameters improved through exercise were reported through narrative synthesis. Identification of the interventions linked to the largest improvements was carried out by identifying the highest values for improvement recorded across the reviews. The study included 56 meta-analyses that were heterogeneous in relation to population, sample size, settings, outcomes, and intervention characteristics.ResultsThe largest effect sizes for improvement were found for resistance training, meditative movement interventions, and exercise-based active videogames.ConclusionThe review identified important gaps in research, including a lack of studies investigating the benefits of group interventions, the characteristics of professionals delivering the interventions associated with better outcomes, and the impact of motivational strategies and of significant others (e.g., carers) on intervention delivery and outcomes.

Project description:ImportanceMotoric cognitive risk (MCR) is a novel predementia syndrome; however, whether it can estimate dementia in a nationwide population or has additive estimation validity over cognitive or motoric components alone remains unknown.ObjectiveTo examine whether modified MCR, which incorporates the timed-up-and-go and one-leg-standing tests, improves estimation validity for incident dementia over using cognitive or motoric components alone.Design, setting, and participantsThis nationwide cohort study evaluated data from individuals aged 66 years who participated in the National Screening Program for Transitional Ages in Korea from January 1, 2009, to December 31, 2013, and examined the association between MCR and incident dementia using Cox proportional hazards regression analysis. Data were collected from the index date (the date on which the participant had the screening) until dementia onset, death, or the end of the follow-up period, whichever came first. The 2 subtypes were defined as subjective cognitive declines with timed-up-and-go impairment or one-leg-standing impairment. The data set was generated with permission from the Korean National Health Insurance Service, and data analysis was conducted from August 2, 2021, to January 31, 2022. Individuals diagnosed with dementia or psychotic disorders or those who had a documented history of dementia medication use before the index date were excluded.Main outcomes and measuresThe main outcome was incidence of dementia, defined as an individual receiving their first dementia medication with the relevant International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, codes after the index date.ResultsAmong the 1 137 530 participants (53.7% women), 15 380 (1.4%) met the MCR criteria for the timed-up-and-go subtype, and 32 910 (2.9%) met the criteria for the one-leg-standing subtype. The mean (SD) follow-up period was 7.02 (1.38) years. Participants with MCR demonstrated an approximately 2-fold higher risk of incident dementia than those without MCR (timed-up-and-go subtype, adjusted hazard ratio, 2.03; 95% CI, 1.94-2.13; one-leg-standing subtype, adjusted hazard ratio, 2.05; 95% CI, 1.98-2.12).Conclusions and relevanceIn this cohort study of participants aged 66 years of the National Screening Program for Transitional Ages, modified motoric cognitive risk had higher adjusted hazard ratios of incident dementia than individual cognitive or motoric components. Motoric cognitive risk may be a practical screening tool for estimating dementia among individuals in their mid-60s ; however, further investigation of the clinical and neurobiological aspects is necessary.

Project description:BackgroundEvidence on potentially modifiable risk factors for dementia is accumulating rapidly, including e.g. physical inactivity, hypertension, or diabetes. It is unclear to what extent these risk factors are known among the general population in Germany. We investigated knowledge on risk and protective factors for dementia and openness to eHealth interventions for brain health in the older general population in Germany.MethodsA population-based telephone survey among randomly selected community-dwelling adults aged ≥ 60 years was conducted. We assessed sociodemographic factors, knowledge on risk and protective factors for dementia, openness towards eHealth and psychosocial outcomes (health literacy, resilience). Factors associated with interest in information on brain health and openness towards eHealth interventions were assessed using multivariable logistic regression.ResultsOf n = 500 respondents (mean age: 74.8 years, % female: 62.8), 67.9% believed that dementia risk is modifiable. Participants mostly endorsed physical and cognitive activity as protective factors and social isolation as a risk factor. Knowledge on cardiovascular risk factors was low to moderate. 38.0% were interested in information on dementia risk reduction. Better knowledge of risk factors for dementia and higher age were linked to interest in information on brain health. Being widowed and higher levels of health literacy were associated with lower interest in information. Openness to eHealth interventions was moderate (46.2%). Younger age, better knowledge of risk and protective factors were linked to openness towards eHealth tools, as was knowing someone with dementia and interest in information on brain health.ConclusionBelief in preventability of dementia was higher in our sample than previously reported. However, knowledge on cardiovascular risk factors for disease was insufficient and more information and intervention approaches targeted at older adults are needed. Interest in information on dementia risk reduction and eHealth approaches was moderate, and further studies are warranted to assess needs and concerns of older adults regarding dementia prevention.

Project description:OBJECTIVES:Reducing potentially preventable hospitalization (PPH) among older adults with dementia is a goal of Healthy People 2020, yet no tools specifically identify patients with dementia at highest risk. The objective was to develop a risk prediction model to identify older adults with dementia at high imminent risk of PPH. DESIGN:A 30-day risk prediction model was developed using multivariable logistic regression. Patients from fiscal years (FY) 2009 to 2011 were split into development and validation cohorts; FY2012 was used for prediction. SETTING:Community-dwelling older adults (?65 years of age) with dementia who received care through the Veterans Health Administration. PARTICIPANTS:There were 1 793 783 participants. MEASUREMENTS:Characteristics associated with hospitalization risk were (1) age and other demographic factors; (2) outpatient, emergency department, and inpatient utilization; (3) medical and psychiatric diagnoses; and (4) prescribed medication use including changes to psychotropic medications (eg, initiation or dosage increase). Model discrimination was determined by the C statistic for each of the three cohorts. Finally, to determine whether predicted 30-day risk strata were stable over time, the observed PPH rate was calculated out to 1 year. RESULTS:In the development cohort, .6% of patients experienced PPH within 30?days. The C statistic for the development cohort was .83 (95% confidence interval [CI] = .83-.84) and .83 in the prediction cohort (95% CI = .82-.84). Patients in the top 10% of predicted 30-day PPH risk accounted for more than 50% of 30-day PPH admissions in all three cohorts. In addition, those predicted to be at elevated 30-day risk remained at higher risk throughout a year of follow-up. CONCLUSION:It is possible to identify older adults with dementia at high risk of imminent PPH, and their risk remains elevated for an entire year. Given the negative outcomes associated with acute hospitalization for those with dementia, healthcare systems and providers may be able to engage these high-risk patients proactively to avoid unnecessary hospitalization. J Am Geriatr Soc 67:2077-2084, 2019.

Project description:Depression has been identified as a risk factor for dementia. However, most studies have measured depressive symptoms at only one time point, and older adults may show different patterns of depressive symptoms over time.To investigate the association between trajectories of depressive symptoms and risk of dementia in older adults.This was a prospective cohort investigation of black and white community-dwelling older adults in the Health, Aging, and Body Composition study. Participants were enrolled between May 1997 and June 1998 and followed up through 2001-2002. The dates of this analysis were September 2014 to December 2015. The setting was community research centers in Memphis, Tennessee, and Pittsburgh, Pennsylvania. Trajectories of depressive symptoms were assessed from baseline to year 5. Symptoms were measured with the Center for Epidemiologic Studies Depression Scale Short Form, and trajectories were calculated using latent class growth curve analysis.Incident dementia through year 11, determined by dementia medication use, hospital records, or significant cognitive decline (?1.5 SD race-specific decline on the Modified Mini-Mental State Examination). We examined the association between depressive symptom trajectories and dementia incidence using Cox proportional hazards regression models adjusted for demographics, health factors that differed between groups, and cognition during the depressive symptom assessment period (baseline to year 5).The analytic cohort included 2488 black and white older adults with repeated depressive symptom assessments from baseline to year 5 who were free of dementia throughout that period. Their mean (SD) age at baseline was 74.0 (2.8) years, and 53.1% (n?=?1322) were female. The following 3 depressive symptom trajectories were identified: consistently minimal symptoms (62.0% [n?=?1542] of participants), moderate and increasing symptoms (32.2% [n?=?801] of participants), and high and increasing symptoms (5.8% [n?=?145] of participants). Compared with the consistently minimal trajectory, having a high and increasing depressive symptom trajectory was associated with significantly increased risk of dementia (fully adjusted hazard ratio, 1.94; 95% CI, 1.30-2.90), while the moderate and increasing trajectory was not associated with risk of dementia after full adjustment. Sensitivity analyses indicated that the high and increasing trajectory was associated with dementia incidence, while depressive symptoms at individual time points were not.Older adults with a longitudinal pattern of high and increasing depressive symptoms are at high risk for dementia. Individuals' trajectory of depressive symptoms may inform dementia risk more accurately than one-time assessment of depressive symptoms.

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Challenges with cost-utility analyses of behavioural interventions among older adults at risk for dementia.

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Challenges with cost-utility analyses of behavioural interventions among older adults at risk for dementia.

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