Implications of Comorbidity on Costs for Patients With Alzheimer Disease

Dementia care costs and outcomes: a systematic review

OBJECTIVE

We reviewed evidence on the cost-effectiveness of prevention, care and treatment strategies in relation to dementia.

METHODS

We performed a systematic review of available literature on economic evaluations of dementia care, searching key databases and websites in medicine, social care and economics. Literature reviews were privileged, and other study designs were included only to fill gaps in the evidence base. Narrative analysis was used to synthesise the results.

RESULTS

We identified 56 literature reviews and 29 single studies offering economic evidence on dementia care. There is more cost-effectiveness evidence on pharmacological therapies than other interventions. Acetylcholinesterase inhibitors for mild-to-moderate disease and memantine for moderate-to-severe disease were found to be cost-effective. Regarding non-pharmacological treatments, cognitive stimulation therapy, tailored activity programme and occupational therapy were found to be more cost-effective than usual care. There was some evidence to suggest that respite care in day settings and psychosocial interventions for carers could be cost-effective. Coordinated care management and personal budgets held by carers have also demonstrated cost-effectiveness in some studies.

CONCLUSION

Five barriers to achieving better value for money in dementia care were identified: the scarcity and low methodological quality of available studies, the difficulty of generalising from available evidence, the narrowness of cost measures, a reluctance to implement evidence and the poor coordination of health and social care provision and financing.

Health disparities in cost of care in patients with Alzheimer's disease: an analysis across 4 state Medicaid populations

OBJECTIVES

To investigate health disparities with respect to cost of care across 4 state Medicaid populations.

METHODS

Data were obtained from Centers for Medicare and Medicaid Services (CMS) for this retrospective study. Patients were enrolled in a California, Florida, New Jersey, or New York Medicaid programs during 2004, with a diagnosis of Alzheimer's disease (International Classification of Diseases, Ninth Revision 331.0). Outcome of interest was cost of care. Decomposition of cost to calculate disparities was estimated using the Oaxaca-Blinder model. An a priori α level of .01 was used.

RESULTS

Approximately 158 974 individuals qualified for this study. Disparities were found to exist between blacks and whites (with blacks having higher costs; P < .0001), whites and others (with whites having higher costs; P < .0001), blacks and Hispanics (with blacks having higher costs; P < .0001), blacks and others (with blacks having higher costs; P < .0001), and Hispanics and others (with Hispanics having higher costs; P < .0001).

CONCLUSIONS

Disparities in cost among minority-to-minority populations were just as prevalent, if not higher, than minority-white disparities.

Bupropion and Citalopram in the APP23 Mouse Model of Alzheimer's Disease: A Study in a Dry-Land Maze

Background. Incipient Alzheimer's disease is often disguised as depressive disorder. Over the course of AD, depressive symptoms are even more frequent. Hence, treatment with antidepressants is common in AD. It was the goal of the present study to assess whether two common antidepressants with different mechanisms of action affect spatial learning in a transgenic animal model of Alzheimer's disease. Methods. We assessed spatial memory of male wild-type and B6C3-Tg(APPswe,PSEN1dE9)85Dbo (APP23) transgenic animals in a complex dry-land maze. Animals were treated with citalopram (10 mg/kg) and bupropion (20 mg/kg). Results. Moving and resting time until finding the goal zone decreased in 4.5-month-old sham-treated wild-type animals and, to a lesser extent, in APP23 animals. Compared with sham-treated APP23 animals, treatment with bupropion reduced resting time and increased speed. On treatment with citalopram, moving and resting time were unchanged but speed decreased. Length of the path to the goal zone did not change on either bupropion or citalopram. Conclusion. Bupropion increases psychomotor activity in APP23 transgenic animals, while citalopram slightly reduces psychomotor activity. Spatial learning per se is unaffected by treatment with either bupropion or citalopram.

Effects of general medical health on Alzheimer's progression: the Cache County Dementia Progression Study

BACKGROUND

Several observational studies have suggested a link between health status and rate of decline among individuals with Alzheimer's disease (AD). We sought to quantify the relationship in a population-based study of incident AD, and to compare global comorbidity ratings to counts of comorbid conditions and medications as predictors of AD progression.

METHODS

This was a case-only cohort study arising from a population-based longitudinal study of memory and aging, in Cache County, Utah. Participants comprised 335 individuals with incident AD followed for up to 11 years. Patient descriptors included sex, age, education, dementia duration at baseline, and APOE genotype. Measures of health status made at each visit included the General Medical Health Rating (GMHR), number of comorbid medical conditions, and number of non-psychiatric medications. Dementia outcomes included the Mini-Mental State Examination (MMSE), Clinical Dementia Rating - sum of boxes (CDR-sb), and the Neuropsychiatric Inventory (NPI).

RESULTS

Health status tended to fluctuate over time within individuals. None of the baseline medical variables (GMHR, comorbidities, and non-psychiatric medications) was associated with differences in rates of decline in longitudinal linear mixed effects models. Over time, low GMHR ratings, but not comorbidities or medications, were associated with poorer outcomes (MMSE: β = -1.07 p = 0.01; CDR-sb: β = 1.79 p < 0.001; NPI: β = 4.57 p = 0.01).

CONCLUSIONS

Given that time-varying GMHR, but not baseline GMHR, was associated with the outcomes, it seems likely that there is a dynamic relationship between medical and cognitive health. GMHR is a more sensitive measure of health than simple counts of comorbidities or medications. Since health status is a potentially modifiable risk factor, further study is warranted.

Failure to identify behavioral symptoms of people with dementia and the need for follow-up physical assessment

This descriptively designed study examined the sensitivity and specificity of staff nurses' identification of behavior change in nursing home residents with dementia. Behavior changes and whether further physical assessment was indicated were described and compared with judgments made by one expert advanced practice nurse. The convenience sample included 155 residents and 38 staff nurses from 11 nursing homes. Verbal symptoms and body part cues were the most prevalent behaviors, regardless of the assessor. Sensitivity, or probability of identifying a real behavior change, was generally low for the staff nurses, ranging from 35% to 65% for the different types of behaviors, while specificity was high at more than 95%. Additional assessment was believed to be needed for 51% of residents by the staff nurse and for 73% of residents by the expert. This study found that staff nurses are under-identifying behavior changes and the need for additional physical assessment.

Comorbidity and the rate of cognitive decline in patients with Alzheimer dementia

OBJECTIVE

This study aimed to investigate the impact of comorbidity on cognitive and functional decline in patients with Alzheimer dementia (AD).

METHODS

One hundred and two AD outpatients examined at the Psychiatry Department of the CF2 Polyclinic in Bucharest, Romania and re-evaluated after 2 years. Comorbidity was rated using the Cumulative Illness Rating Scale for Geriatrics (CIRS-G).

RESULTS

Baseline mean age (SD) was 75.4 (8.2) years, median CDR (range) was 2 (1-3), and mean MMSE (SD) 14.2 (4.9). MMSE declined to 11.2 (4.8) during follow-up. Baseline mean total CIRS-G score (SD) was 13.8 (5.4), median number of endorsed categories (range) was 8 (1-14), and mean severity index (SD) 1.9 (0.4). Main comorbidity areas were cardiovascular, ear, nose and throat, genitourinary, musculoskeletal/integument, and neurological. Severity of comorbidity increased with dementia severity (p <0.001). Baseline comorbidity was related to increased rate of cognitive decline; truncated regression coefficients (p-values) were 0.01 (0.02) for CIRS-G total score, and 0.15 (0.006) for severity index (controlled for age, sex, education, and AD treatment). Faster cognitive decline was associated with faster functional decline: OR (95% CI) was 5.2 (1.9-13.6) for increased rate of ADL change and 3.8 (1.0-14.1) for increased rate of IADL change (controlled for age, sex, education, AD medication, and comorbidity). Comorbidity tended to increase functional decline; however, the associations were not statistically significant.

CONCLUSIONS

In this group of patients with AD, comorbidity increased the rate of cognitive decline. Considering comorbidity instead of focusing on separate conditions may be more helpful in managing AD.

A systematic review to assess the policy-making relevance of dementia cost-of-illness studies in the US and Canada

A systematic review of dementia cost-of-illness (COI) studies in the US and Canada was conducted to explore the policy-making relevance of these studies. MEDLINE, CINAHL, EconLit, AMED and the Cochrane Library were searched from inception to March 2010 for English-language COI articles. Content analysis was used to extract common themes about dementia cost from the conclusions of articles that passed title, abstract and full-text screening. These themes informed our exploration of the policy-making relevance of COI studies in dementia. The literature search retrieved 961 articles and data were extracted from 46 articles. All except three articles reported data from the US; 27 articles included Alzheimer's dementia only. Common themes pertained to general observations about dementia cost, cost drivers in dementia, caregiver cost, items that may lower dementia cost, social service cost, Medicare and Medicaid cost, and cost comparisons with other diseases. The common themes suggest policy-oriented research for the future. However, the extracted COI studies were typically not conducted for policy-making purposes and they did not commonly provide prescriptive policy options. Researchers and policy makers need to consider whether the optimal research focus in dementia should be on programme evaluations instead of more COI studies.

Imaging the Alzheimer brain

This supplement to the Journal of Alzheimer's Disease contains more than half of the chapters from The Handbook of Imaging the Alzheimer Brain, which was first presented at the International Conference on Alzheimer's Disease in Paris, in July, 2011.

While the Handbook contains 27 chapters that are modified articles from 2009, 2010, and 2011 issues of the Journal of Alzheimer's Disease, this supplement contains the 31 new chapters of that book and an introductory article drawn from the introductions to each section of the book.

The Handbook was designed to provide a multilevel overview of the full field of brain imaging related to Alzheimer's disease (AD). The Handbook, as well as this supplement, contains both reviews of the basic concepts of imaging, the latest developments in imaging, and various discussions and perspectives of the problems of the field and promising directions.

The Handbook was designed to be useful for students and clinicians interested in AD as well as scientists studying the brain and pathology related to AD.

Caregiver burden, health utilities, and institutional service costs among community-dwelling patients with Alzheimer disease

This study examined the moderating effect of caregiver burden on the relationship between patients' health status and institutional costs in Alzheimer disease (AD). Data were obtained on whether 421 community-dwelling patients with AD in the CATIE-AD trial received institutional services in the month preceding baseline and at 3-month, 6-month, and 9-month follow-up. All participants had a caregiver who lived with or visited them regularly. Outcome variables include hospital, nursing home, residential, and combined institutional costs. Mixed models were employed to estimate the interaction of Health Utility Index (HUI)-III scores (a health status measure) and 5 measures of caregiver burden. Wherever significant, results indicate that greater caregiver burden weakens the inverse relationship between health utilities and institutional costs, leading to greater costs than would be expected at a given level of health. Altogether 45.0% of the models (9/20) showed this effect (positive coefficient on the burden-HUI interaction term). Interventions to support caregivers should be based on caregiver burden, regardless of care recipient health status, for even seemingly manageable patients may be at heightened risk for institutionalization if caregivers experience sufficiently high levels of burden.

Novel approaches to incorporating pharmacoeconomic studies into phase III clinical trials for Alzheimer's disease

The societal and individual costs of Alzheimer's disease are significant, worldwide. As the world ages, these costs are increasing rapidly, while health systems face finite budgets. As a result, many regulators and payers will require or at least consider phase III cost-effectiveness data (in addition to safety and efficacy data) for drug approval and reimbursement, increasing the risks and costs of drug development. Incorporating pharmacoeconomic studies in phase III clinical trials for Alzheimer's disease presents a number of challenges. We propose several specific suggestions to improve the design of pharmacoeconomic studies in phase III clinical trials. We propose that acute episodes of care are key outcome measures for pharmacoeconomic studies. To improve the possibility of detecting a pharmacoeconomic impact in phase III, we suggest several strategies including; study designs for enrichment of pharmacoeconomic outcomes that include co-morbidity of patients; reducing variability of care that can affect pharmacoeconomic outcomes through standardized care management; employing administrative claims data to better capture meaningful pharmacoeconomic data; and extending clinical trials in open label follow-up periods in which pharmacoeconomic data are captured electronically by administrative claims. Specific aspects of power analysis for pharmacoeconomic studies are presented. The particular pharmacoeconomic challenges caused by the use of biomarkers in clinical trials, the increasing use of multinational studies, and the pharmacoeconomic challenges presented by biologicals in development for Alzheimer's disease are discussed. In summary, since we are entering an era in which pharmacoeconomic studies will be essential in drug development for supporting regulatory approval, payor reimbursement and integration of new therapies into clinical care, we must consider the design and incorporation of pharmacoeconomic studies in phase III clinical trials more seriously and more creatively.

Factors associated with time to identify physical problems of nursing home residents with dementia

This study describes new problems emerging over 6 weeks for nursing home residents with advanced dementia and factors associated with time to identify the problems. The sample of 65 developed 149 new acute problems or exacerbations of existing conditions over the 6 weeks of data collection. The majority of these problems involved uncontrolled pain, new infections, and severe psychoses. Nurse assessment skill was associated with a shorter time to identify the new problem and more time spent on the problem. A higher ratio of new to existing interventions was also associated with a shorter time to identify the problem. Other patient characteristics associated with time to identify problems included nonspecific vocalizations, physical signs, cognitive status, and length of stay. While future research is warranted, findings from this study highlight the frequency of problems requiring treatment and suggest that improved assessment of residents may decrease the time to identify new problems.

Patterns and predictors of antipsychotic medication use among the U.S. population: findings from the Medical Expenditure Panel Survey

BACKGROUND

Given the importance of pharmacological treatment in mental disorders, it is important to have a thorough understanding of predictors and variations in antipsychotic use.

OBJECTIVE

To provide a description of patient characteristics associated with antipsychotic use and to examine predictors of atypical antipsychotic use among antipsychotic users.

METHODS

Data were obtained from the 2004 and 2005 Medical Expenditure Panel Survey. Dependent variables were annual, self-reported, atypical and typical antipsychotic use. Independent variables included predisposing, enabling, and need characteristics according to Andersen's Behavioral Model. In addition to descriptive statistics, logistic regression analyses were performed to examine the determinants of antipsychotic use.

RESULTS

Patients aged 65 and older were 0.63 times as likely to use antipsychotics as patients aged 26-45. Poor and near-poor patients were 1.55 and 1.37 times as likely to use antipsychotics as middle- to high-income patients, respectively. The odds of antipsychotic use were 2.95 and 1.99 times for patients with public and prescription insurance coverage, respectively. Patients with a usual source of health care were 1.51 times as likely to use antipsychotics as those without. Compared with typical antipsychotic use, patients aged 25 and younger were 3.88 times as likely to use atypical antipsychotics as patients aged between 26 and 45. Urban residents were 1.87 times as likely as rural residents to use atypical antipsychotics. The odds of antipsychotic and atypical antipsychotic use for the poor mental health population were 8.73 and 3.87 times as patients with good to excellent mental health status.

CONCLUSIONS

Predisposing and need factors play important roles in determining the use of antipsychotics. However, among antipsychotic users, the use of atypical versus typical antipsychotics appears to have been influenced primarily by need. These findings should be useful to clinicians and policy makers in directing antipsychotic treatments to patients in need.

Comparing clinical and economic characteristics between commercially-insured patients with diabetic neuropathy and demographically-matched diabetic controls

OBJECTIVE

To examine medical conditions associated with diabetic neuropathy (DN) and to identify drivers of healthcare charges and utilization using administrative claims.

METHODS

The study examined commercially-insured under-age-65 individuals with 24 months continuous enrollment in a large US national health plan. DN patients were identified by having at least one claim with a DN diagnosis between July 2004 and June 2005. A demographically-matched control cohort of patients with diabetes but no DN (10: 1 ratio) was constructed using propensity scoring. Overall illness burden via a comprehensive disease classification, year 2 (July 2005 through June 2006) distribution of charges, and reasons for inpatient admissions and emergency room (ER) visits were compared between DN patients and diabetic controls. Multivariate regressions were used to assess the marginal contribution of DN to healthcare charges and utilization, and the most common reasons for ER and inpatient admissions, controlling for differences in overall illness burden.

RESULTS

Both DN patients (n = 8655) and diabetic controls (n = 86 550) had a mean age of 51 years, and 46% were female. Compared with controls, DN patients had more comorbid medical conditions (9.7 vs. 6.8, p < 0.05) and higher total healthcare charges. Controlling for differences in overall illness burden, DN patients had significantly more hospital days (0.67), more ER (0.09), physician office (0.62), and outpatient hospital visits (2.87), and higher total healthcare charges ($5696) than controls (all p < 0.05), with majority of the difference in charges from inpatient service ($3975, p < 0.05). Patients with DN were also far more likely to be hospitalized (ketoacidosis, neurological manifestation, heart disease, skin infection) or have an ER encounter (amputation) for diabetes-related complications. Due to the use of a retrospective claims database, limitations of this analysis include a lack of formal diagnostic testing of patients, inability to measure factors such as disease duration and severity that are not captured in such databases, and the possible lack of generalization from this group of patients with diabetes to other populations.

CONCLUSIONS

DN patients had significantly more comorbid medical conditions and higher healthcare charges and utilization than age- and sex-matched diabetic controls. Controlling for differences in overall illness burden, DN patients incurred more ER visits and inpatient admissions.

Healthcare costs and utilization for Medicare beneficiaries with Alzheimer's

Background

Alzheimer's disease (AD) is a neurodegenerative disorder incurring significant social and economic costs. This study uses a US administrative claims database to evaluate the effect of AD on direct healthcare costs and utilization, and to identify the most common reasons for AD patients' emergency room (ER) visits and inpatient admissions.

Methods

Demographically matched cohorts age 65 and over with comprehensive medical and pharmacy claims from the 2003–2004 MEDSTAT MarketScan^® Medicare Supplemental and Coordination of Benefits (COB) Database were examined: 1) 25,109 individuals with an AD diagnosis or a filled prescription for an exclusively AD treatment; and 2) 75,327 matched controls. Illness burden for each person was measured using Diagnostic Cost Groups (DCGs), a comprehensive morbidity assessment system. Cost distributions and reasons for ER visits and inpatient admissions in 2004 were compared for both cohorts. Regression was used to quantify the marginal contribution of AD to health care costs and utilization, and the most common reasons for ER and inpatient admissions, using DCGs to control for overall illness burden.

Results

Compared with controls, the AD cohort had more co-morbid medical conditions, higher overall illness burden, and higher but less variable costs ($13,936 s. $10,369; Coefficient of variation = 181 vs. 324). Significant excess utilization was attributed to AD for inpatient services, pharmacy, ER visits, and home health care (all p < 0.05). In particular, AD patients were far more likely to be hospitalized for infections, pneumonia and falls (hip fracture, syncope, collapse).

Conclusion

Patients with AD have significantly more co-morbid medical conditions and higher healthcare costs and utilization than demographically-matched Medicare beneficiaries. Even after adjusting for differences in co-morbidity, AD patients incur excess ER visits and inpatient admissions.