Abstract
Background
Antipsychotic medications are commonly prescribed to nursing home residents despite their well-established adverse event profiles. Because little is known about their use in Veterans Administration(VA) nursing homes (i.e., Community Living Centers(CLCs)), we assessed the prevalence and risk factors for their use in older residents of VA CLCs.
Methods
This cross-sectional study included 3,692 Veterans ≥age 65 who were admitted between January 2004-June 2005 to one of 133 VA CLCs and had a stay of ≥90 days. We used VA Pharmacy Benefits Management data to examine antipsychotic use and VA Medical SAS datasets and the Minimum Data Set to identify evidence-based indications for antipsychotic use (e.g., schizophrenia, dementia with psychosis). We used multivariable logistic regression with generalized estimating equations to identify factors independently associated with antipsychotic use.
Results
Overall, 948/3,692(25.7%) residents used an antipsychotic, of which 59.3% had an evidence-based indication for use. Residents with aggressive behavior (odds ratio[OR]=2.74, 95% confidence interval[CI]=2.04-3.67) and polypharmacy (9+ drugs; OR=1.84, 95%CI=1.41-2.40) were more likely to receive antipsychotics, as were users of antidepressants (OR=1.37, 95%CI=1.14-1.66), anxiolytic/hypnotics (OR=2.30, 95%CI=1.64-3.23) or drugs for dementia (OR=1.52, 95%CI=1.21-1.92). Those residing in Alzheimer's/dementia special care units were also more likely to use an antipsychotic (OR=1.66, 95%CI=1.26-2.21). Veterans with dementia but no documented psychosis were as likely as those with an evidence-based indication to receive an antipsychotic (OR=1.10, 95%CI=0.82-1.47).
Conclusions
Antipsychotic use is common in older VA CLC residents, including those without a documented evidence-based indication for use. Further quality improvement efforts are needed to reduce potentially inappropriate antipsychotic prescribing.
Keywords: Nursing Homes, Antipsychotics, Veterans, Pharmacoepidemiology
INTRODUCTION
Neuropsychiatric symptoms are common in dementia and are one of the reasons individuals with dementia are placed in nursing homes.1, 2 There are no Food and Drug Administration (FDA) approved medications for these behavioral symptoms, which include wandering, agitation, aggression, hallucinations and delusions. Nonetheless, antipsychotics are commonly used in nursing homes off-label to treat patients with dementia and behavioral symptoms, in addition to treating those with psychotic illnesses for whom antipsychotics are FDA approved (e.g., schizophrenia).3-10 In 2006, nearly 30% of nursing home residents in a large national study received an antipsychotic medication, of which 32% had no identified indication for use.5 Recently, the Office of the Inspector General in the Department of Health and Human Services addressed this potential overuse, reporting that 22% of Medicare Part D claims for atypical antipsychotics in nursing homes were not administered in compliance with Centers for Medicare and Medicaid Services (CMS) standards for appropriate drug use.11
Unfortunately, there are few non-pharmacologic means to treat behavioral symptoms of dementia,12 and for decades physicians have used antipsychotics for symptom management. However, antipsychotics have limited evidence of overall efficacy for these symptoms, and several studies suggest an increased mortality risk with their use in dementia.13-17 After years of concern among clinicians and researchers about their potential overuse and propensity for adverse effects,18-23 the FDA issued a boxed warning in 2005 for the atypical antipsychotics, emphasizing their association with increased mortality when used for behavioral disorders in elderly residents with dementia. The warning was extended to conventional antipsychotics in 2008.
Although prior studies have documented the use of antipsychotics for outpatients with dementia in the Veterans Administration (VA) Healthcare System,1, 24 the rate of use of these agents among older residents of VA nursing homes is unknown. The VA maintains 133 nursing homes, recently renamed Community Living Centers (CLCs), across the country to provide short- and long-term care for eligible Veterans. The presence of an onsite pharmacy, along with centralized formulary and utilization management through the Pharmacy Benefits Management (PBM) services, makes the VA CLC environment different from that of nursing homes outside the VA. Our aims for this study were to estimate the prevalence of antipsychotic use in older VA CLC residents and identify the patient and facility factors associated with antipsychotic use.
METHODS
Setting and Study Sample
The VA is the one of the largest integrated health care systems in the U.S., with over 8 million Veterans enrolled and more than 5 million receiving care.25, 26 In 2005, the average daily census of VA CLCs was about 12,000 Veterans.27
We collected data on all residents age 65 years or older admitted to any one of 133 VA CLCs between January 1, 2004 and June 30, 2005. Residents were included if they were long-stay residents (defined as a minimum admission length of 90 days) and had at least one drug dispensing record during that time period. We excluded residents admitted for respite or hospice care. The Pittsburgh VA Research and Human Subjects Committees approved the study.
Study Design and Data Sources
All Veterans in a VA CLC are evaluated using the Minimum Data Set (MDS, current version 2.0), which is a clinical assessment for residents of nursing homes that serves as a standardized tool to evaluate their quality of care.28 The data are collected from resident and staff interviews and reviews of resident records at baseline (i.e., within 14 days of admission) and quarterly thereafter, or at the time of any significant change in health status. An electronic version of the MDS, which is stored in a central VA data warehouse, was made available through a data use agreement.
We linked each CLC resident's MDS data with all prescriptions dispensed during the first 90 days of their admission using VA PBM data. 29 For each dispensed drug, we collected start and stop date, medication name, medication strength, directions for use, and amount dispensed. To the MDS and drug use data we linked inpatient and outpatient International Classification of Diseases-9 (ICD-9) codes from the previous year from the VA Medical SAS datasets (Austin Information Technology Center in Austin, TX). We used this merged database to conduct all analyses. We also collected CLC facility characteristics (described below) from VA administrative sources because of the potential for nursing home organizational factors to affect antipsychotic prescribing.9
Study Outcome
Our primary outcome was the receipt of an antipsychotic at least once during the CLC stay. We use the terms “receipt,” “use” and “prescribing” interchangeably because we assume that prescribed medications in the PBM database were received by the nursing home residents, who do not self-administer medications. For descriptive purposes, antipsychotics available in the VA at the time of this study were classified as atypical (i.e., aripiprazole, clozapine, olanzapine, quetiapine, risperidone, ziprasidone) or conventional (i.e., chlorpromazine, fluphenazine, haloperidol, loxapine, molindone, perphenazine, trifluoperazine, thiothixene, thioridazine), and use was categorized as regularly scheduled or as needed (i.e., “PRN”).
Patient and Facility Characteristics
Demographic variables included resident age, race/ethnicity, gender, and education as obtained from the baseline MDS. We calculated a Charlson Comorbidity score (range 0-34) for each resident using ICD-9 codes from the VA Medical SAS databases indicating the presence of 18 chronic conditions.30, 31 We recorded the amount of assistance (i.e., ADL Dependence) needed for five functional status items (bathing, dressing, grooming, toileting, eating), which is included in the baseline MDS for each resident. Each activity is rated from 0 (total independence) to 4 (complete dependence), and the overall function score ranges from 0-20, where 20 denotes complete dependence in all activities of daily living.32
We recorded additional relevant neurologic/psychiatric health status variables, including aggressive behavior (based on the presence of verbally or physically abusive behavioral symptoms as documented on the MDS during the admission) and the use of physical restraints (yes/no, as described in the MDS). We used ICD-9 codes to define a diagnosis of post-traumatic stress disorder (309.81), other anxiety disorders (300.3, 300.01, 300.21, 300.00, 300.02, 300.09) and depression (296.2, 296.3, 298.0x, 300.4x, 309.1x, 311.xx, 301.12, 309.0x).33-35 To create a polypharmacy variable (i.e., the use of multiple medications), we identified the number of unique medications per resident, excluding psychiatric or dementia medications, from PBM data. We created separate dichotomous variables for the use of antidepressants, anxiolytic/hypnotics, and dementia treatment (i.e., acetylcholinesterase inhibitors [AChEI] and memantine). Finally, we ascertained whether residents were residing in Alzheimer's/dementia special care units based on information from Section P of the MDS.
In addition to these demographic and health status variables, we also included facility variables describing the location (i.e., urban/rural), census region (i.e., Northeast, Midwest, South, West), and size defined in terms of the number of beds (i.e., small (<60 beds), medium (60-120 beds), and large (>120 beds)), of each VA facility.
Indications for Antipsychotic Use
We classified each resident in the cohort into one of three mutually exclusive groups based on the potential indication (or lack of indication) for receipt of an antipsychotic.3, 33-35 The first group included individuals who had a potentially appropriate indication for use of an antipsychotic (i.e., either a psychiatric diagnosis in which psychotic symptoms are a prominent feature or a diagnosis of dementia and psychotic symptoms from the MDS (e.g., hallucinations)).36 Psychiatric diagnoses were identified using the following inpatient or outpatient ICD-9 codes: ICD-9 CM codes 295.0-295.3, 295.5, 295.6-295.9 for schizophrenia and schizoaffective disorder; 295.4 for schizophreniform disorder; 296.4-8 for bipolar disease; 298.8 for brief psychotic disorder; 293.0 and 293.1 for medical illnesses or delirium with manic or psychotic symptoms; 298.9 for psychosis not otherwise specified or atypical psychosis; 297.x for delusional disorder; 292.81 for drug-induced delirium; and 296.14 for manic affective disorder with psychotic behavior.33, 34 Individuals with Tourette's (ICD-9 307.23) or Huntington's disease (ICD-9 333.4) also were included in this group. A small proportion (7%) of residents with psychotic symptoms reported in MDS did not have dementia (ICD-9 codes 331.0, 290.4, 331.82, 331.19, 046.1, 331.11, 290.0, 331.2, 797, 294.1, and 290.2) but were also assigned to the group with a potentially appropriate indication.
We then categorized the remaining residents without documentation of psychiatric diagnoses or psychosis (as defined above) into two groups defined by whether or not they had dementia. Both of these groups were considered to be potentially inappropriate recipients of antipsychotics based on accepted indications for these drugs.11
Analysis
We summarized all variables using descriptive statistics. We described the proportion of Veteran CLC residents receiving an antipsychotic and reported the indication for use of an antipsychotic among antipsychotic users. Characteristics of antipsychotic users and non-users were compared with Chi-square or t-tests, as appropriate. We examined the relationship between antipsychotic use and each of our variables using logistic regression models to identify those factors independently associated with antipsychotic use. Variable selection for the final model was based on logistic regression with backward elimination using an alpha of 0.10; we recognize that this approach to model selection without adjusting for correlation could be anticonservative (i.e., including extra variables for consideration in the final model), particularly for facility-level predictors. For those variables that remained statistically significant, we subsequently used generalized estimating equations (GEEs) to account for clustering of residents within facility and to estimate odds ratios and 95% confidence intervals for antipsychotic use.37 The adjustment for clustering made very little difference in the final quantitative or qualitative results. All analyses were carried out using SAS® version 9.0 (Cary, NC).
RESULTS
The final cohort included 3,692 Veterans over age 65 residing in 133 VA CLCs. Residents were predominately male (97.2%) and white (80.7%) (Table 1). Over half of Veterans in CLCs (52.5%) used nine or more medications, and half (50.0%) received an antidepressant. About 10% of the cohort resided in an Alzheimer's/dementia special care unit. Slightly over a third (36.8%) of residents had a psychosis diagnosis or psychotic behavior and thus a potentially appropriate indication for an antipsychotic.
Table 1.
Overall* (n=3,692) | Antipsychotic Users* (n=948) | Non-users* (n=2,744) | P value | |
---|---|---|---|---|
Demographics | ||||
Age | 0.07 | |||
65-74 | 1,134 (30.7) | 306 (32.3) | 828 (30.2) | |
75-84 | 1,926 (52.2) | 502 (53.0) | 1,424 (51.9) | |
85+ | 632 (17.1) | 140 (14.8) | 492 (17.9) | |
Race | 0.35 | |||
White | 2981 (80.7) | 777 (82.0) | 2,204 (80.3) | |
Black | 499 (13.5) | 115 (12.1) | 384 (14.0) | |
Other | 212 (5.7) | 56 (5.9) | 156 (5.7) | |
Female Gender | 103(2.8) | 30 (3.2) | 73 (2.7) | 0.42 |
Education | 0.45 | |||
Below High School | 1,112 (30.1) | 277 (29.2) | 835 (30.4) | |
High School | 1,716 (46.5) | 459 (48.4) | 1,257 (45.8) | |
Above High School | 822 (22.3) | 204 (21.5) | 618 (22.5) | |
Missing | 42 (1.1) | 8 (0.8%) | 34 (1.2) | |
Health Status | ||||
Charlson Comorbidity Score, mean (standard deviation) | 2.7 (2.2) | 2.2 (2.0) | 2.9 (2.3) | <0.001 |
ADL Dependence, mean (standard deviation) | 9.1 (6.5) | 9.6 (6.5) | 8.9 (6.5) | 0.01 |
Aggressive Behavior | 319 (8.6) | 180 (19.0) | 139 (5.1) | <0.001 |
Physical Restraint Use | 20 (0.5) | 9 (0.9) | 11 (0.4) | 0.05 |
Post Traumatic Stress Disorder (PTSD) | 245 (6.6) | 84 (8.9) | 161 (5.9) | 0.001 |
Other Anxiety | 286 (7.7) | 93 (9.8) | 193 (7.0) | 0.006 |
Depression Diagnosis or Symptoms | 811 (22.0) | 243 (25.6) | 568 (20.7) | 0.002 |
Number of medications (excluding classes below) | <0.001 | |||
0-4 | 845 (22.9) | 193 (20.4) | 652 (23.8) | |
5-8 | 909 (24.6) | 289 (30.5) | 620 (22.6) | |
9+ | 1,938 (52.5) | 466 (49.2) | 1,472 (53.6) | |
Antidepressant Use | 1,846 (50.0) | 539 (56.9) | 1,307 (47.6) | <0.001 |
Anxiolytic/Hypnotic Use | 231 (6.3) | 101 (10.7) | 130 (4.7) | <0.001 |
Dementia Treatment (i.e., acetylcholinesterase inhibitor or memantine use) | 567 (15.4) | 249 (26.3) | 318 (11.6) | <0.001 |
Admitted to Alzheimer's/dementia special care unit | 372 (10.1) | 181 (19.1) | 191 (7.0) | <0.001 |
Indication by Psychosis/Dementia Diagnosis | <0.001 | |||
Psychotic Diagnosis or Symptoms (Potentially Appropriate) | 1,358 (36.8) | 562 (59.3) | 796 (29.0) | |
Dementia without Psychosis (Potentially Inappropriate) | 341 (9.2) | 139 (14.7) | 202 (7.4) | |
No Dementia or Psychosis (Potentially Inappropriate) | 1,993 (54.0) | 247 (26.1) | 1,746 (63.6) | |
Facility Factors | ||||
Rural | 951 (25.8) | 259 (27.3) | 692 (25.2) | 0.20 |
Region | 0.21 | |||
Northeast | 916 (24.8) | 252 (26.6) | 664 (24.2) | |
Midwest | 747 (20.2) | 176 (18.6) | 571 (20.8) | |
South | 1,489 (40.3) | 391 (41.2) | 1,098 (40.0) | |
West | 540 (14.6) | 129 (13.6) | 411 (15.0) | |
Facility Size | 0.004 | |||
Small (<60 beds) | 510 (13.8) | 104 (11.0) | 406 (14.8) | |
Medium (60-120 beds) | 1,744 (47.2) | 443 (46.7) | 1,301 (47.4) | |
Large (>120 beds) | 1,438 (38.9) | 401 (42.3) | 1,037 (37.8) |
All values are n (%) unless otherwise noted and all percentages are column percentages.
Overall, 948/3,692 (25.7%) Veterans used an antipsychotic during their CLC stay. The vast majority (90.6% of users) received ‘atypical’ antipsychotics, with 6.6% of antipsychotic use being limited to ‘PRN’ only. Antipsychotic users were more likely than non-users to have aggressive behavior (19.0% vs. 5.1% p<0.001) and were more likely to receive antidepressants, anxiolytic/hypnotics, and medications for dementia (p<0.001 for each) (Table 1). Among Veterans who received an antipsychotic, 59.3% had psychosis or psychotic behavior and a documented indication for use, while the remaining 40.7% had no evidence of psychosis (including 14.7% with dementia but no documented psychosis and 26.1% without dementia or documented psychosis) (Table 1).
Characteristics Associated with Antipsychotic Use
In unadjusted analyses, older residents (aged 85+) and those with higher Charlson Comorbidity scores were less likely to receive antipsychotics (Table 2). Residents without dementia or psychosis were less likely than those with psychosis to receive an antipsychotic (OR 0.20, 95% CI 0.17-0.24); however, those with dementia but no psychosis were as likely to receive an antipsychotic as were those with psychosis (OR 0.98, 95% CI 0.77-1.24). Those residing in Alzheimer's/dementia special care units and in larger facilities had higher unadjusted odds of antipsychotic use (Table 2).
Table 2.
Unadjusted OR (95% CI) | Adjusted OR (95% CI) | |
---|---|---|
Demographics | ||
Age | ||
65-74 | 1.00 (ref) | 1.00 (ref) |
75-84 | 0.95 (0.81-1.13) | 0.77 (0.64-0.93) |
85+ | 0.77 (0.61-0.97) | 0.67 (0.51-0.88) |
Race | ||
White | 1.00 (ref) | - |
Black | 0.85 (0.68-1.06) | - |
Other | 1.02 (0.74-1.40) | - |
Female Gender | 1.20 (0.78-1.84) | - |
Education | ||
Below High School | 1.00 (Ref) | - |
High School | 1.10 (0.93-1.31) | - |
Above High School | 1.00 (0.81-1.23) | - |
Missing | 0.71 (0.32-1.55) | - |
Health Status | ||
Charlson Comorbidity Score (OR per unit increase) | 0.87 (0.83-0.90) | 0.89 (0.86-0.93) |
ADL Dependence, mean (OR per unit increase) | 1.02 (1.00-1.03) | - |
Aggressive Behavior | 4.39 (3.47-5.56) | 2.74 (2.04-3.67) |
Physical Restraint Use | 2.38 (0.98-5.77) | - |
Post Traumatic Stress Disorder (PTSD) | 1.56 (1.19-2.05) | - |
Other Anxiety | 1.44 (1.11-1.86) | - |
Depression Diagnosis or Symptoms | 1.32 (1.11-1.57) | - |
Number of medications (excluding classes below) | ||
0-4 | 1.00 (ref) | 1.00 (ref) |
5-8 | 1.58 (1.27-1.95) | 1.79 (1.39-2.29) |
9+ | 1.07 (0.88-1.30) | 1.84 (1.41-2.40) |
Antidepressant Use | 1.45 (1.25-1.68) | 1.37 (1.14-1.66) |
Anxiolytic/Hypnotic Use | 2.40 (1.83-3.14) | 2.30 (1.64-3.23) |
Dementia treatment (i.e., acetylcholinesterase inhibitor or memantine use) | 2.72 (2.26-3.27) | 1.52 (1.21-1.92) |
Admitted to Alzheimer's/dementia special care unit | 3.15 (2.53-3.93) | 1.66 (1.26-2.21) |
Indication by Psychosis/Dementia Diagnosis | ||
Psychotic Diagnosis or Symptoms (Potentially Appropriate) | 1.00 (ref) | 1.00 (ref) |
Dementia without Psychosis (Potentially Inappropriate) | 0.98 (0.77-1.24) | 1.10 (0.82-1.47) |
No Dementia or Psychosis (Potentially Inappropriate) | 0.20 (0.17-0.24) | 0.25 (0.21-0.30) |
Facility Factors | ||
Rural | 1.11 (0.94-1.32) | - |
Region | ||
Northeast | 1.00 (ref) | - |
Midwest | 0.81 (0.65-1.01) | - |
South | 0.94 (0.78-1.13) | - |
West | 0.83 (0.65-1.06) | - |
Facility Size | ||
Small (<60 beds) | 1.00 (ref) | - |
Medium (60-120 beds) | 1.33 (1.04-1.69) | - |
Large (>120 beds) | 1.51 (1.18-1.93) | - |
In the multivariable GEE logistic analysis, the only demographic factor associated with antipsychotic use was age, with older Veterans significantly less likely to receive antipsychotics (OR 0.77, 95% CI 0.64-0.93 for age 75-84, OR 0.67, 95% CI 0.51-0.88 for age 85+) (Table 2). The estimated OR of receiving an antipsychotic decreased with increasing comorbidity (OR 0.89 per unit increase in the Charlson Score, 95% CI 0.86-0.93). Residents with aggressive behavior (OR 2.74, 95% CI 2.04-3.67) and polypharmacy (9+ drugs-OR 1.84, 95% CI 1.41-2.40) were more likely to receive antipsychotics, as were users of antidepressants (OR 1.37, 95% CI 1.14-1.66), anxiolytic/hypnotics (OR 2.30, 95%CI 1.64-3.23), or drugs for dementia (OR 1.52, 95% CI 1.21-1.92). Veterans residing in an Alzheimer's/dementia special care unit were significantly more likely to use an antipsychotic (OR 1.66, 95% CI 1.26-2.21). Veterans with dementia but no psychosis were about as likely as those with an evidence-based indication to receive an antipsychotic (OR 1.10, 95% CI 0.82-1.47).
DISCUSSION
In a national sample of older Veterans residing in VA nursing homes (CLCs), more than one in four were prescribed an antipsychotic. Additionally, four out of every ten antipsychotic users in VA CLCs did not have a clear evidence-based indication for use (i.e., psychosis or psychotic behavior). Residents with aggressive behavior, those using more medications, and those residing in Alzheimer's/dementia special care units were more likely to receive antipsychotics.
Rates of antipsychotic use in VA CLCs are similar to rates in non-VA nursing homes, which range from 25% to 32%.3, 5-10 The proportion of antipsychotic users in VA CLCs without an evidence-based indication for use is also similar to the proportion outside the VA.8 Our rates of antipsychotic use are lower than the 49% reported in a previous analysis of VA CLCs that included residents of all ages who were institutionalized for at least a year;38 it is likely that younger Veterans confined to nursing homes have a higher prevalence of psychiatric disease, which was not measured in the prior study and likely explains the higher rates.
Residents with dementia but no evidence of psychosis were about as likely to receive antipsychotics in VA CLCs as those with documented psychosis. These individuals may have behavioral symptoms that are troublesome but do not necessarily fit the established criteria for use of antipsychotics, either as per the structured package label or through CMS surveyor guidance on potentially inappropriate medication use.39 We did include an indicator for aggressive behavior from the MDS and found that residents with aggressive behavior had almost three times greater odds of antipsychotic use. It is unclear whether clinicians are using antipsychotics in residents with dementia without considering the risks, or whether they are considering the risks but have determined that the behavioral symptoms are sufficiently problematic (either for the resident or their family) that the potential benefits outweigh the risks of therapy. We are unable to answer this question without examining individual medical records, and even then, the documentation may not exist.
Veterans residing in Alzheimer's/dementia special care units had 66% greater odds of receiving an antipsychotic, even after adjusting for age, clinical indication, comorbidity, and aggressive behavior. It is possible that residents in these dementia care units have more severe dementia or behavioral or neurocognitive symptoms that cannot be captured in currently available databases. However, one might expect that these units, whose staff likely have expertise in treating Alzheimer's and other types of dementia,40 would be more likely to use non-pharmacologic treatments. It may be that they are, in fact, using more non-pharmacologic treatments while also using more medication. Further work is needed to better understand why residents in dementia special care units have a higher probability of use of antipsychotics and whether this association also holds outside the VA.
We also found that polypharmacy and the use of other psychoactive medications, including anxiolytic/hypnotics, antidepressants, and medications for dementia were associated with greater use of antipsychotics. This association remains after statistical adjustment, making it unlikely that polypharmacy is simply a surrogate for more severe behavioral problems. Polypharmacy may reflect greater health services use within the VA healthcare system prior to admission, which could potentially lead to greater access to antipsychotics. Once again, without access to detailed medical records it would be difficult to know for sure the reasons for this association. Nonetheless, polypharmacy is one of the most important risk factors for functional status decline, increased health services utilization, adverse drug events, and death among older adults, and it is addressible.41, 42 The association between polypharmacy and the use of antipsychotics in nursing homes is one additional reason for clinicians to evaluate the need for each medication in these patients and to discontinue those that are not necessary.
What should clinicians do for the troublesome neurocognitive symptoms seen in nursing home residents with dementia, who may be receiving antipsychotics currently? Unfortunately, successful interventions that address inappropriate prescribing in nursing homes can be resource intensive.43-45 The VA is undertaking several initiatives to address the use of antipsychotics in VA nursing homes, including increasing the availability and integration of psychologist services, and piloting behavioral management programs such as the Staff Training in Assisted Living Residences in VA (STAR-VA) and the Activators Behaviors and Consequences (ABC) models.46, 47 The VA is also supporting efforts for better documentation in the medical record of risk/benefit discussions regarding the use of these antipsychotic agents.
While our study is the first to address this important topic in VA nursing homes, there are limitations to consider. First, our data were collected prior to the 2005 FDA boxed warning and thus may not reflect current practice. However, ours are the most recent data available to address the topic of medication use in VA CLCs, and despite the lack of an FDA warning in 2004-2005, publications and reports already appeared in print about the risks of these agents.1 Second, our study is cross sectional, and as such we cannot make any causal inferences. Third, we were not able to capture additional organizational factors that may be important, such as nurse or nurse assistant staffing ratios, staff turnover, and presence of geriatricians, geriatric specialty trained pharmacists and nurses, or geriatric psychiatrists. However, we did evaluate a number of facility characteristics, none of which was independently associated with antipsychotic use. Fourth, some antipsychotics can be used off-label for indications other than neurocognitive symptoms of dementia (e.g., adjunct treatment of depression48), and we are not able to capture those indications in our analysis, although we did control statistically for the use of antidepressants. Finally, our study may not be generalizable to younger Veterans in nursing homes or to women, who are not well represented in our sample.
In summary, antipsychotic prescribing is common in older VA nursing home residents, including residents without a documented evidence-based indication for use. Rates of use are similar to rates in non-VA nursing homes. Quality improvement efforts are needed to reduce potentially inappropriate antipsychotic prescribing and increase the use of non-pharmacological behavior modification approaches. These efforts are underway in the VA, and their effectiveness should be carefully evaluated.
Footnotes
Presentation: Portions of this research were presented as a paper at the VA Health Services Research and Development (HSR&D) Annual Meeting in National Harbor, MD, on February 17, 2011 and as a poster at the Society of General Internal Medicine Annual Meeting in Phoenix, AZ, on May 5, 2011.
Disclosure of potential conflicts of interest: Dr. Semla reports receiving honorarium from the American Geriatrics Society and LexiComp, Inc (publishing) and consulting fees from Omnicare, Inc. Dr. Semla's spouse is an employee of Abbott Labs. No other authors report any potential conflicts of interest.
REFERENCES
- 1.Kales HC, Zivin K, Kim HM, et al. Trends in antipsychotic use in dementia 1999-2007. Arch Gen Psychiatry. 2011 Feb;68(2):190–197. doi: 10.1001/archgenpsychiatry.2010.200. [DOI] [PubMed] [Google Scholar]
- 2.Sink KM, Holden KF, Yaffe K. Pharmacological treatment of neuropsychiatric symptoms of dementia: a review of the evidence. JAMA. 2005 Feb 2;293(5):596–608. doi: 10.1001/jama.293.5.596. [DOI] [PubMed] [Google Scholar]
- 3.Briesacher BA, Limcangco MR, Simoni-Wastila L, et al. The quality of antipsychotic drug prescribing in nursing homes. Arch Intern Med. 2005 Jun 13;165(11):1280–1285. doi: 10.1001/archinte.165.11.1280. [DOI] [PubMed] [Google Scholar]
- 4.Chen KPA, Sherer J. Antipsychotic Drug Use Among Elderly Nursing Home Residents in the United States. Am J Geriatr Pharmacother. 2008 Oct;6(4):187–197. doi: 10.1016/j.amjopharm.2008.10.002. 2008. [DOI] [PubMed] [Google Scholar]
- 5.Chen Y, Briesacher BA, Field TS, Tjia J, Lau DT, Gurwitz JH. Unexplained variation across US nursing homes in antipsychotic prescribing rates. Arch Intern Med. 2010 Jan 11;170(1):89–95. doi: 10.1001/archinternmed.2009.469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Kamble P, Chen H, Sherer J, Aparasu RR. Antipsychotic drug use among elderly nursing home residents in the United States. Am J Geriatr Pharmacother. 2008 Oct;6(4):187–197. doi: 10.1016/j.amjopharm.2008.10.002. [DOI] [PubMed] [Google Scholar]
- 7.Rochon PA, Stukel TA, Bronskill SE, et al. Variation in nursing home antipsychotic prescribing rates. Arch Intern Med. 2007 Apr 9;167(7):676–683. doi: 10.1001/archinte.167.7.676. [DOI] [PubMed] [Google Scholar]
- 8.Stevenson DG, Decker SL, Dwyer LL, et al. Antipsychotic and benzodiazepine use among nursing home residents: findings from the 2004 National Nursing Home Survey. Am J Geriatr Psychiatry. 2010 Dec;18(12):1078–1092. doi: 10.1097/JGP.0b013e3181d6c0c6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Castle NG, Hanlon JT, Handler SM. Results of a longitudinal analysis of national data to examine relationships between organizational and market characteristics and changes in antipsychotic prescribing in US nursing homes from 1996 through 2006. Am J Geriatr Pharmacother. 2009 Jun;7(3):143–150. doi: 10.1016/j.amjopharm.2009.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Tjia J, Rothman MR, Kiely DK, et al. Daily medication use in nursing home residents with advanced dementia. J Am Geriatr Soc. 2010 May;58(5):880–888. doi: 10.1111/j.1532-5415.2010.02819.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Department of Health and Human Services Office of the Inspector General [May 10, 2011];Medicare Atypical Antipsychotic Drug Claims for Elderly Nursing Home Residents. 2011 May; http://oig.hhs.gov/oei/reports/oei-07-08-00150.pdf.
- 12.O'neil M, Freeman M, Christensen V, Telerant A, Addleman A, Kansagara D. Nonpharmacological Interventions for Behavioral Symptoms of Dementia: A Systematic Review of the Evidence. VA-ESP Project #05-225. 2011 [PubMed] [Google Scholar]
- 13.Rossom RC, Rector TS, Lederle FA, Dysken MW. Are all commonly prescribed antipsychotics associated with greater mortality in elderly male veterans with dementia? J Am Geriatr Soc. 2010 Jun;58(6):1027–1034. doi: 10.1111/j.1532-5415.2010.02873.x. [DOI] [PubMed] [Google Scholar]
- 14.Schneider LS, Dagerman KS, Insel P. Risk of death with atypical antipsychotic drug treatment for dementia: meta-analysis of randomized placebo-controlled trials. JAMA. 2005 Oct 19;294(15):1934–1943. doi: 10.1001/jama.294.15.1934. [DOI] [PubMed] [Google Scholar]
- 15.Schneider LS, Tariot PN, Dagerman KS, et al. Effectiveness of atypical antipsychotic drugs in patients with Alzheimer's disease. N Engl J Med. 2006 Oct 12;355(15):1525–1538. doi: 10.1056/NEJMoa061240. [DOI] [PubMed] [Google Scholar]
- 16.Rochon PA, Stukel TA, Sykora K, et al. Atypical antipsychotics and parkinsonism. Arch Intern Med. 2005 Sep 12;165(16):1882–1888. doi: 10.1001/archinte.165.16.1882. [DOI] [PubMed] [Google Scholar]
- 17.Lee PE, Sykora K, Gill SS, et al. Antipsychotic medications and drug-induced movement disorders other than parkinsonism: a population-based cohort study in older adults. J Am Geriatr Soc. 2005 Aug;53(8):1374–1379. doi: 10.1111/j.1532-5415.2005.53418.x. [DOI] [PubMed] [Google Scholar]
- 18.Avorn J. Health Aff (Millwood) 1. Vol. 14. Spring; 1995. Medication use and the elderly: current status and opportunities. pp. 276–286. [DOI] [PubMed] [Google Scholar]
- 19.Avorn J, Dreyer P, Connelly K, Soumerai SB. Use of psychoactive medication and the quality of care in rest homes. Findings and policy implications of a statewide study. N Engl J Med. 1989 Jan 26;320(4):227–232. doi: 10.1056/NEJM198901263200406. [DOI] [PubMed] [Google Scholar]
- 20.Avorn J, Gurwitz JH. Drug use in the nursing home. Ann Intern Med. 1995 Aug 1;123(3):195–204. doi: 10.7326/0003-4819-123-3-199508010-00007. [DOI] [PubMed] [Google Scholar]
- 21.Ray WA, Blazer DG, 2nd, Schaffner W, Federspiel CF. Reducing antipsychotic drug prescribing for nursing home patients: a controlled trial of the effect of an educational visit. Am J Public Health. 1987 Nov;77(11):1448–1450. doi: 10.2105/ajph.77.11.1448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Ray WA, Chung CP, Murray KT, Hall K, Stein CM. Atypical antipsychotic drugs and the risk of sudden cardiac death. N Engl J Med. 2009 Jan 15;360(3):225–235. doi: 10.1056/NEJMoa0806994. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Ray WA, Federspiel CF, Schaffner W. A study of antipsychotic drug use in nursing homes: epidemiologic evidence suggesting misuse. Am J Public Health. 1980 May;70(5):485–491. doi: 10.2105/ajph.70.5.485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Leslie DL, Mohamed S, Rosenheck RA. Off-label use of antipsychotic medications in the department of Veterans Affairs health care system. Psychiatr Serv. 2009 Sep;60(9):1175–1181. doi: 10.1176/ps.2009.60.9.1175. [DOI] [PubMed] [Google Scholar]
- 25.Miller DR, Safford MM, Pogach LM. Who Has Diabetes? Best Estimates of Diabetes Prevalence in the Department of Veterans Affairs Based on Computerized Patient Data. Diabetes Care. 2004 May 1;27(suppl_2):B10–21. doi: 10.2337/diacare.27.suppl_2.b10. 2004. [DOI] [PubMed] [Google Scholar]
- 26.Office of the Assistant Deputy Under Secretary for Health for Policy and Planning . VHA Enrollment, Patients and Expenditures. U.S. Department of Veterans Affairs Intranet Site; Washington, D.C.: 2008. [September 1, 2009]. Available at http://vaww.va.gov/vhaopp/default.htm. [Google Scholar]
- 27.Government Accountability Office (GAO) [May 1, 2011];VA Long-Term Care: Trends and Planning Challenges in Providing Nursing Home Care to Veterans. 2006 Jan; http://www.gao.gov/new.items/d06333t.pdf.
- 28.Mor V. A comprehensive clinical assessment tool to inform policy and practice: applications of the minimum data set. Med Care. 2004 Apr;42(4 Suppl):III50–59. doi: 10.1097/01.mlr.0000120104.01232.5e. [DOI] [PubMed] [Google Scholar]
- 29.Hanlon JT, Wang X, Good CB, et al. Racial differences in medication use among older, long-stay Veterans Affairs nursing home care unit patients. Consult Pharm. 2009 Jun;24(6):439–446. doi: 10.4140/tcp.n.2009.050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–383. doi: 10.1016/0021-9681(87)90171-8. [DOI] [PubMed] [Google Scholar]
- 31.Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992 Jun;45(6):613–619. doi: 10.1016/0895-4356(92)90133-8. [DOI] [PubMed] [Google Scholar]
- 32.McConnell ES, Pieper CF, Sloane RJ, Branch LG. Effects of cognitive performance on change in physical function in long-stay nursing home residents. J Gerontol A Biol Sci Med Sci. 2002 Dec;57(12):M778–784. doi: 10.1093/gerona/57.12.m778. [DOI] [PubMed] [Google Scholar]
- 33.Jordan N, Lee TA, Valenstein M, Weiss KB. Effect of care setting on evidence-based depression treatment for veterans with COPD and comorbid depression. J Gen Intern Med. 2007 Oct;22(10):1447–1452. doi: 10.1007/s11606-007-0328-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Plomondon ME, Ho PM, Wang L, et al. Severe mental illness and mortality of hospitalized ACS patients in the VHA. BMC Health Serv Res. 2007;7:146. doi: 10.1186/1472-6963-7-146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Pugh MJ, Fincke BG, Bierman AS, et al. Potentially inappropriate prescribing in elderly veterans: are we using the wrong drug, wrong dose, or wrong duration? J Am Geriatr Soc. 2005 Aug;53(8):1282–1289. doi: 10.1111/j.1532-5415.2005.53402.x. [DOI] [PubMed] [Google Scholar]
- 36.Centers for Medicare and Medicaid Services (CMS) State Operations Manual. [May 1, 2011];Guidance to Surveyors for Long Term Care Facilities. Dec;15:2006. http://www.cms.gov/manuals/Downloads/som107ap_pp_guidelines_ltcf.pdf. [Google Scholar]
- 37.Zeger SL, Liang KY, Albert PS. Models for longitudinal data: a generalized estimating equation approach. Biometrics. 1988 Dec;44(4):1049–1060. [PubMed] [Google Scholar]
- 38.French DD, Campbell RR, Spehar AM, Rubenstein LZ, Cunningham FE. Drug costs and use in VHA nursing homes: a national overview of long-stay residents. J Am Med Dir Assoc. 2007 Oct;8(8):515–518. doi: 10.1016/j.jamda.2007.02.001. [DOI] [PubMed] [Google Scholar]
- 39.Martin CM, McSpadden CS. Changes in the state operations manual: implications for consultant pharmacy practice. Consult Pharm. 2006 Dec;21(12):948–961. doi: 10.4140/tcp.n.2006.948. [DOI] [PubMed] [Google Scholar]
- 40.Bass E, Putney K, Alvear M. Economic aspects of dementia special care units in Veterans Affairs nursing homes. J Am Med Dir Assoc. 2005 Jul-Aug;6(4):276–280. doi: 10.1016/j.jamda.2005.05.002. [DOI] [PubMed] [Google Scholar]
- 41.Garfinkel D, Zur-Gil S, Ben-Israel J. The war against polypharmacy: a new cost-effective geriatric-palliative approach for improving drug therapy in disabled elderly people. Isr Med Assoc J. 2007 Jun;9(6):430–434. [PubMed] [Google Scholar]
- 42.Hajjar ER, Cafiero AC, Hanlon JT. Polypharmacy in elderly patients. Am J Geriatr Pharmacother. 2007 Dec;5(4):345–351. doi: 10.1016/j.amjopharm.2007.12.002. [DOI] [PubMed] [Google Scholar]
- 43.Avorn J, Soumerai SB, Everitt DE, et al. A randomized trial of a program to reduce the use of psychoactive drugs in nursing homes. N Engl J Med. 1992 Jul 16;327(3):168–173. doi: 10.1056/NEJM199207163270306. [DOI] [PubMed] [Google Scholar]
- 44.Marcum ZA, Handler SM, Wright R, Hanlon JT. Interventions to improve suboptimal prescribing in nursing homes: A narrative review. Am J Geriatr Pharmacother. 2010 Jun;8(3):183–200. doi: 10.1016/j.amjopharm.2010.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Ray WA, Taylor JA, Meador KG, et al. Reducing antipsychotic drug use in nursing homes. A controlled trial of provider education. Arch Intern Med. 1993 Mar 22;153(6):713–721. [PubMed] [Google Scholar]
- 46.Karlin BE, Teri L, McGee JS, et al. STAR-VA: Manual for VA Community Living Center Mental Health Providers. U.S. Department of Veterans Affairs; Washington, D.C.: 2011. [Google Scholar]
- 47.Teri L, Huda P, Gibbons L, Young H, van Leynseele J. STAR: a dementia-specific training program for staff in assisted living residences. Gerontologist. 2005;45(5):686–693. doi: 10.1093/geront/45.5.686. [DOI] [PubMed] [Google Scholar]
- 48.Papakostas GI, Shelton RC, Smith J, Fava M. Augmentation of antidepressants with atypical antipsychotic medications for treatment-resistant major depressive disorder: a meta-analysis. J Clin Psychiatry. 2007 Jun;68(6):826–831. doi: 10.4088/jcp.v68n0602. [DOI] [PubMed] [Google Scholar]