Patient Outcomes After Delirium Screening and Incident Alzheimer's Disease or Related Dementias in Skilled Nursing Facilities.

BACKGROUND: The extent to which a positive delirium screening and new diagnosis of Alzheimer's disease or related dementias (ADRD) increases the risk for re-hospitalization, long-term nursing home placement, and death remains unknown. OBJECTIVE: To compare long-term outcomes among newly admitted skilled nursing facility (SNF) patients with delirium, incident ADRD, and both conditions. DESIGN, SETTING, AND PARTICIPANTS: A retrospective cohort study of Medicare beneficiaries who entered a SNF from hospital with a minimum 14-day stay (n = 100,832) from 2015 to 2016. MAIN MEASURES: Return to home, hospital readmission, admission to a long-term care facility, or death. KEY RESULTS: Patients with delirium were as likely to be discharged home as patients diagnosed with ADRD (HR: 0.63, 95% CI: 0.59, 0.67; HR: 0.65, 95% CI: 0.64, 0.67). Patients with both delirium and ADRD were less likely to be discharged home (HR: 0.49, 95% CI: 0.47, 0.52) and showed increased risk of death (HR: 1.30, 95% CI: 1.17, 1.45). Patients with ADRD, regardless of delirium screening status, had increased risk for long-term nursing home care transfer (HR: 1.66, 95% CI: 1.63, 1.70; HR: 1.76, 95% CI: 1.69, 1.82). Patients with delirium and no ADRD showed increased risk of transfer to long-term nursing home care (HR: 1.25, 95% CI: 1.18, 1.33). The rate of deaths was higher among patients who screened positive for delirium without ADRD compared to the no delirium and no ADRD groups (HR: 2.35, 95% CI: 2.11, 2.61). CONCLUSION: A positive delirium screening increased risk of death and transfer to long-term care in the first 100 days after admission regardless of incident ADRD diagnosis. Patients with delirium and/or ADRD also are less likely to be discharged home. Our study builds on the evidence base that delirium is important to address in older adults as it is associated with negative outcomes.

Query mandates in prescription drug monitoring programs reduce opioid use among commercially insured patients with cancer.

BACKGROUND: Prescription drug monitoring programs (PDMPs) have been shown to reduce opioid use in the general and noncancer populations. However, evidence of PDMP impacts on patients with cancer remains limited. OBJECTIVE: The aim of the study was to examine the impact of PDMP mandates on individual-level opioid use among patients with cancer. METHODS: This is a retrospective cohort study of patients with newly diagnosed cancer aged 18-65 years in the IQVIA PharMetrics Plus database (IQVIA Inc; nationally representative data of the U.S. commercially insured population in 49 states) between 2013 and 2015. The primary exposure was PDMP rigor (ranked from highest to lowest rigor): provider query + registration, query only, registration only, and unexposed. The study outcomes included (1) prevalent use among all individuals; and among opioid users (2) total days supplied, (3) daily morphine equivalent dose (MED), and (4) cumulative MED. RESULTS: Of the eligible cohort (n=28,353), 37.5% (10,656) received opioids after a cancer diagnosis. The individuals exposed to these mandates were as follows: query + registration: 3899 (13.8%); query only: 3459 (12.2%); registration only: 2764 (9.7%); and no mandates: 18,231 (64.3%). The PDMP mandates had no effect on prevalent opioid use. Compared with unexposed patients, those subject to query mandates-alone or with registration mandates-experienced 12 fewer opioid days supplied and a lower mean cumulative MED (-662 mg and -702 mg, respectively), P < 0.01. Registration-only mandates were associated with 21 days more (P < 0.01) total days supplied and lower daily MED (1.1 mg; P < 0.05) but had no statistically significant effect on cumulative MED (-46 mg, P > 0.05). CONCLUSION: Query mandates are a stronger PDMP tool than registration mandates in reducing opioid days supplied and cumulative MED. Initiatives should target PDMP mandates toward intended patient groups to reduce high-risk opioid use without compromising adequate pain treatment.

Prevalence and Newly Diagnosed Rates of Multimorbidity in Older Medicare Beneficiaries with COPD.

Few studies have quantified the multimorbidity burden in older adults with chronic obstructive pulmonary disease (COPD) using large and generalizable data. Such evidence is essential to inform evidence-based research, clinical care, and resource allocation. This retrospective cohort study used a nationally representative sample of Medicare beneficiaries aged 65 years or older with COPD and 1:1 matched (on age, sex, and race) non-COPD beneficiaries to: (1) quantify the prevalence of multimorbidity at COPD onset and one-year later; (2) quantify the rates [per 100 person-years (PY)] of newly diagnosed multimorbidity during in the year prior to and in the year following COPD onset; and (3) compare multimorbidity prevalence in beneficiaries with and without COPD. Among 739,118 eligible beneficiaries with and without COPD, the average number of multimorbidity was 10.0 (SD = 4.7) and 1.0 (SD = 3.3), respectively. The most prevalent multimorbidity at COPD onset and at one-year after, respectively, were hypertension (70.8% and 80.2%), hyperlipidemia (52.2% and 64.8%), anemia (42.1% and 52.0%), arthritis (39.8% and 47.7%), and congestive heart failure (CHF) (31.3% and 38.8%). Conditions with the highest newly diagnosed rates before and following COPD onset, respectively, included hypertension (39.8 and 32.3 per 100 PY), hyperlipidemia (22.8 and 27.6), anemia (17.8 and 20.3), CHF (16.2 and 13.2), and arthritis (12.9 and 13.2). COPD was significantly associated with increased odds of all measured conditions relative to non-COPD controls. This study updates existing literature with more current, generalizable findings of the substantial multimorbidity burden in medically complex older adults with COPD-necessary to inform patient-centered, multidimensional care.Supplemental data for this article is available online at https://doi.org/10.1080/15412555.2021.1968815 .

Interstate data sharing of prescription drug monitoring programs and associated opioid prescriptions among patients with non-cancer chronic pain.

All fifty states have implemented prescription drug monitoring programs (PDMPs) to reduce misuse and diversion of controlled drugs. Interstate PDMP data sharing has been called for by clinical practitioners, but evidence to support the effectiveness of PDMP data sharing is lacking. This study examined whether PDMP interstate data sharing with bordering states was associated with prescriptions of opioids. This was a cross-sectional study that included patients with non-cancer chronic pain from the 2014 National Ambulatory Medical Care Survey (weighted N = 66,198,751; unweighted N = 2846). Multinomial logistic regression was performed to examine the association between PDMP interstate data sharing status and patients' being prescribed opioids for pain treatment, controlling for covariates guided by the Eisenberg's model of physician decision-making. Findings indicated that patients residing in states with interstate PDMP data sharing with all or partial bordering states were not less likely to be prescribed opioids compared to those living in states without interstate data sharing. Other factors such as patient age, health insurance type, new patient status, and physician adoption of electronic medical records were associated with the likelihood of patients' being prescribed opioids. This study concluded that current practice of interstate PDMP data sharing with bordering states was not associated with patients' being prescribed opioids for non-cancer chronic pain treatment. Future studies and policy efforts that unravel technological, legal, and political barriers to reciprocal and equal interstate data sharing with bordering states should be warranted to inform PDMP redesign and in turn, augment overall PDMP effectiveness in reducing misuse of prescription opioids.

Prescription opioid and benzodiazepine misuse is associated with suicidal ideation in older adults.

OBJECTIVES: Suicide in older adults is a major public health issue. Past research across the US adult population has linked prescription medication misuse with suicidal ideation. No work has evaluated associations between prescription opioid or benzodiazepine misuse and suicidal ideation in older adults, and this work aimed to address that gap. METHODS/DESIGN: Data were from adults 50 years and older participating in the 2015 to 2016 National Survey on Drug Use and Health (n = 17 608). Design-based logistic regression evaluated links between any past-year prescription opioid or benzodiazepine use without misuse or prescription misuse and past-year suicidal ideation, after controlling for sociodemographic, physical health, mental health, and substance use correlates associated with suicidal ideation. RESULTS: After controlling for all correlates, past-year use without misuse of prescription opioids or benzodiazepines was not associated with past-year suicidal ideation in older adults. In contrast, past-year opioid misuse (AOR = 1.84, 95% CI = 1.07-3.19) and benzodiazepine misuse (AOR = 2.00, 95% CI = 1.01-3.94) were significantly associated with past-year suicidal ideation, even after controlling for all covariates. While 2.2% of US older adults not engaged in either opioid or benzodiazepine misuse reported past-year suicidal ideation, 25.4% of those who misused both medication classes endorsed such suicidality (AOR = 4.73, 95% CI = 2.07-10.79). CONCLUSIONS: Both past-year prescription opioid and benzodiazepine misuse are associated with past-year suicidal ideation in US older adults. Clinicians encountering older adult patients at-risk for or engaged in prescription medication misuse also should screen for suicidality.

The association of antidepressant treatment with COPD maintenance medication use and adherence in a comorbid Medicare population: A longitudinal cohort study.

The effect of treating comorbid depression to achieve optimal management of chronic obstructive pulmonary disease (COPD) has not yet empirically tested. We examined the association between antidepressant treatment and use of and adherence to COPD maintenance medications among patients with new-onset COPD and comorbid depression. METHODS: Using 2006-2012 Medicare data, this retrospective cohort study identified patients with newly diagnosed COPD and new-onset major depression. Two exposures-antidepressant use (versus non-use) and adherence measured by proportion of days covered (PDC) (PDC ≥0.8 versus <0.8)-were assessed quarterly. We used marginal structural models to estimate the effects of prior antidepressant use and adherence on subsequent COPD maintenance inhaler use and adherence outcomes, accounting for time-varying confounders. RESULTS: A total of 25 458 COPD-depression patients, 82% with antidepressant treatment, were followed for a median of 2.5 years. Nearly half (48%) used at least 1 COPD maintenance inhaler in any given quarter; among users, 3 in 5 (61%) had a PDC of <0.8. Compared to patients with no antidepressant treatment, those with antidepressant use were more likely to use (relative ratio [RR] = 1.15, 95% confidence interval [CI] = 1.12- 1.17) and adhere to (RR = 1.08, 95% = 1.03-1.14) their COPD maintenance inhalers. Patients who adhered to antidepressant treatment were more likely to use and adhere to COPD maintenance inhalers. CONCLUSION: Regularly treated depression may increase use of and adherence to necessary maintenance medications for COPD. Antidepressant treatment may be a key determinant to improving medication-taking behaviors among COPD patients comorbid with depression.

Mortality and Associated Morbidities Following Traumatic Brain Injury in Older Medicare Statin Users.

OBJECTIVE: To assess the relationship between posttraumatic brain injury statin use and (1) mortality and (2) the incidence of associated morbidities, including stroke, depression, and Alzheimer's disease and related dementias following injury. SETTING AND PARTICIPANTS: Nested cohort of all Medicare beneficiaries 65 years of age and older who survived a traumatic brain injury (TBI) hospitalization during 2006 through 2010. The final sample comprised 100 515 beneficiaries. DESIGN: Retrospective cohort study of older Medicare beneficiaries. Relative risks (RR) and 95% confidence interval (CI) were obtained using discrete time analysis and generalized estimating equations. MEASURES: The exposure of interest included monthly atorvastatin, fluvastatin, lovastatin, pravastatin, rosuvastatin, and simvastatin use. Outcomes of interest included mortality, stroke, depression, and Alzheimer's disease and related dementias. RESULTS: Statin use of any kind was associated with decreased mortality following TBI hospitalization discharge. Any statin use was also associated with a decrease in any stroke (RR, 0.86; 95% confidence intervals (CI), 0.81-0.91), depression (RR, 0.85; 95% CI, 0.79-0.90), and Alzheimer's disease and related dementias (RR, 0.77; 95% CI, 0.73-0.81). CONCLUSION: These findings provide valuable information for clinicians treating older adults with TBI as clinicians can consider, when appropriate, atorvastatin and simvastatin to older adults with TBI in order to decrease mortality and associated morbidities.

Risk of Stroke Among Older Medicare Antidepressant Users With Traumatic Brain Injury.

OBJECTIVE: To estimate the risk of stroke associated with new antidepressant use among older adults with traumatic brain injury (TBI). PARTICIPANTS: A total of 64 214 Medicare beneficiaries aged 65 years or older meeting inclusion criteria and hospitalized with a TBI during 2006 to 2010. DESIGN: New user design. Generalized estimating equations were used to estimate the relative risks (RRs) of stroke. MAIN MEASURES: Primary exposure was new antidepressant use following TBI identified through Medicare part D claims. The primary outcome was stroke following TBI. Ischemic and hemorrhagic strokes were secondary outcomes. RESULTS: A total of 20 859 (32%) beneficiaries used an antidepressant at least once following TBI. Selective serotonin reuptake inhibitors accounted for the majority of antidepressant use. Selective serotonin reuptake inhibitor use was associated with an increased risk of hemorrhagic stroke (RR, 1.26; 95% confidence interval [CI], 1.06-1.50) but not ischemic stroke (RR, 1.04; 95% CI, 0.94-1.15). The selective serotonin reuptake inhibitors escitalopram (RR, 1.33; 95% CI, 1.02-1.74) and sertraline (RR, 1.46; 95% CI, 1.10-1.94) were associated with an increase in the risk of hemorrhagic stroke. CONCLUSION: Findings from this study will aid prescribers in choosing appropriate antidepressants to treat depression in older adults with TBI.

Patterns of Statin Use in Older Medicare Beneficiaries With Traumatic Brain Injury.

BACKGROUND: In addition to lowering lipids, statins also may be beneficial for older adults sustaining a traumatic brain injury (TBI), as statin use prior to and following trauma may decrease mortality following injury. However, despite statins' potential to reduce mortality, there is limited research regarding statin use among older adults. OBJECTIVE: To characterize and investigate factors associated with statin use among older adults with TBI. METHODS: A retrospective drug utilization study was used to characterize statin use among Medicare beneficiaries 65 and older hospitalized with a TBI during 2006 to 2010 and with continuous Medicare Parts A, B, and D coverage 6 months prior and 12 months following TBI. Logistic regression was used to investigate the factors associated with statin use. The exposure of interest was statin use prior to and following TBI. RESULTS: Of the 75 698 beneficiaries included in the study, 37 874 (~50%) of beneficiaries used a statin at least once during the study period. The most common statin used was simvastatin, while fluvastatin was the least used statin. Statin users were more likely to have cardiovascular diseases when compared to nonusers. Hyperlipidemia was a major factor associated with statin use and had the greatest impact on statin use compared to nonuse (odds ratio = 9.54; 95% confidence interval = 9.07, 10.03). CONCLUSIONS: This national sample of older adults with TBI suggests that statins are commonly used. Future studies must next examine the impact of statin use on mortality and secondary injury in order to shape pharmacological therapy guidelines following TBI.

In-Hospital Mortality Following Traumatic Brain Injury Among Older Medicare Beneficiaries, Comparing Statin Users With Nonusers.

BACKGROUND: Traumatic brain injury (TBI) is a significant public health concern for older adults. Small-scale human studies have suggested pre-TBI statin use is associated with decreased in-hospital mortality following TBI, highlighting the need for large-scale translational research. OBJECTIVE: To investigate the relationship between pre-TBI statin use and in-hospital mortality following TBI. METHODS: A retrospective study of Medicare beneficiaries 65 and older hospitalized with a TBI during 2006 to 2010 was conducted to assess the impact of pre-TBI statin use on in-hospital mortality following TBI. Exposure of interest included atorvastatin, fluvastatin, lovastatin, pravastatin, rosuvastatin, and simvastatin. Beneficiaries were classified as current, recent, past, and nonusers of statins prior to TBI. The outcome of interest was in-hospital mortality. Logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs) comparing current, recent, and prior statin use to nonuse. RESULTS: Most statin users were classified as current users (90%). Current atorvastatin (OR = 0.88; 95% = CI 0.82, 0.96), simvastatin (OR = 0.84; 95% CI = 0.79, 0.91), and rosuvastatin (OR = 0.79; 95% CI = 0.67, 0.94) use were associated with a significant decrease in the risk of in-hospital mortality following TBI. CONCLUSIONS: In addition to being the most used statins, current use of atorvastatin, rosuvastatin, and simvastatin was associated with a significant decrease in in-hospital mortality following TBI among older adults. Future research must include clinical trials to help exclude the possibility of a healthy user effect in order to better understand the impact of statin use on in-hospital mortality following TBI.

Algorithm for Identifying Nursing Home Days Using Medicare Claims and Minimum Data Set Assessment Data.

BACKGROUND: No consensus exists about methods of measuring nursing home (NH) length-of-stay for Medicare beneficiaries to identify long-stay and short-stay NH residents. OBJECTIVES: To develop an algorithm measuring NH days of stay to differentiate between residents with long and short stay (≥101 and <101 consecutive days, respectively) and to compare the algorithm with Minimum Data Set (MDS) alone and Medicare claims data. RESEARCH DESIGN: We linked 2006-2009 MDS assessments to Medicare Part A skilled nursing facility (SNF) data. This algorithm determined the daily NH stay evidence by MDS and SNF dates. NH length-of-stay and characteristics were reported in the total, long-stay, and short-stay residents. Long-stay residents identified by the algorithm were compared with the NH evidence from MDS-alone and Medicare parts A and B data. RESULTS: Of 276,844 residents identified by our algorithm, 40.8% were long stay. Long-stay versus short-stay residents tended to be older, male, white, unmarried, low-income subsidy recipients, have multiple comorbidities, and have higher mortality but have fewer hospitalizations and SNF services. Higher proportions of long-stay and short-stay residents identified by the MDS/SNF algorithm were classified in the same group using MDS-only (98.9% and 100%, respectively), compared with the parts A and B data (95.0% and 67.1%, respectively). NH length-of-stay was similar between MDS/SNF and MDS-only long-stay residents (mean±SD: 717±422 vs. 720±441 d), but the lengths were longer compared with the parts A and B data (approximately 474±393 d). CONCLUSIONS: Our MDS/SNF algorithm allows the differentiation of long-stay and short-stay residents, resulting in an NH group more precise than using Medicare claims data only.

New episodes of depression among Medicare beneficiaries with chronic obstructive pulmonary disease.

OBJECTIVES: Depression is a common comorbidity of chronic obstructive pulmonary disease (COPD) and is associated with increased exacerbations, healthcare utilization, and mortality. Among Medicare beneficiaries newly diagnosed with COPD, the objectives of this study were to (1) estimate the rate of new episodes of depression and (2) identify factors associated with depression. METHODS: We identified beneficiaries with a first diagnosis of COPD during 2006-2012 using a 5% random sample of Medicare administrative claims data by searching for ICD-9-CM codes 490, 491.x, 492.x, 494.x, or 496. We identified episodes of depression using ICD-9-CM codes 296.2x, 296.3x, and 311.xx. We calculated incidence rates and their 95% confidence intervals (95% CI) and used a discrete time analysis to identify factors associated with development of depression. RESULTS: Between 2006 and 2012, 125,348 beneficiaries meeting inclusion criteria were newly diagnosed with COPD. Twenty-three percent developed depression following COPD diagnosis. The annualized incidence rate of depression per 100 beneficiaries following COPD diagnosis was 9.4 (95% CI 9.3, 9.5). Rates were highest in the first 2 months following COPD diagnosis. COPD diagnosis was associated with increased risk of depression (risk ratio 1.76; 95% CI 1.73, 1.79) as were COPD-related hospitalizations (risk ratio 4.59; 95% CI 4.09, 5.15), a measure of COPD severity. CONCLUSIONS: Diagnosis of COPD increases the risk of depression. This study will aid in the allocation of resources to monitor and provide support for individuals with COPD at high risk of developing depression.

Increased Rates of Mild Traumatic Brain Injury Among Older Adults in US Emergency Departments, 2009-2010.

OBJECTIVE: To estimate rates of emergency department (ED) visits for mild traumatic brain injury (TBI) among older adults. We defined possible mild TBI cases to assess underdiagnoses. DESIGN: Cross-sectional. SETTING: National sample of ED visits in 2009-2010 captured by the National Hospital Ambulatory Medical Care Survey. PARTICIPANTS: Aged 65 years and older. MEASUREMENTS: Mild TBI defined by International Classification of Diseases, Ninth Revision, Clinical Modification, codes (800.0x-801.9x, 803.xx, 804.xx, 850.xx-854.1x, 950.1x-950.3x, 959.01) and a Glasgow Coma Scale score of 14 or more or missing, excluding those admitted to the hospital. Possible mild TBI was defined similarly among those without mild TBI and with a fall or motor vehicle collision as cause of injury. We calculated rates of mild TBI and examined factors associated with a diagnosis of mild TBI. RESULTS: Rates of ED visits for mild TBI were 386 per 100 000 among those aged 65 to 74 years, 777 per 100 000 among those aged 75 to 84 years, and 1205 per 100 000 among those older than 84 years. Rates for women (706/100 000) were higher than for men (516/100 000). Compared with a possible mild TBI, a diagnosis of mild TBI was more likely in the West (odds ratio = 2.31; 95% confidence interval, 1.02-5.24) and less likely in the South/Midwest (odds ratio = 0.52; 95% confidence interval, 0.29-0.96) than in the Northeast. CONCLUSIONS: This study highlights an upward trend in rates of ED visits for mild TBI among older adults.

The Effect of Universal Glove and Gown Use on Adverse Events in Intensive Care Unit Patients.

BACKGROUND: No randomized trials have examined the effect of contact precautions or universal glove and gown use on adverse events. We assessed if wearing gloves and gowns during all patient contact in the intensive care unit (ICU) changes adverse event rates. METHODS: From January 2012 to October 2012, intervention ICUs of the 20-site Benefits of Universal Gloving and Gowning cluster randomized trial required that healthcare workers use gloves and gowns for all patient contact. We randomly sampled 1800 medical records of adult patients not colonized with antibiotic-resistant bacteria and reviewed them for adverse events using the Institute for Healthcare Improvement Global Trigger Tool. RESULTS: Four hundred forty-seven patients (24.8%) had 1 or more ICU adverse events. Adverse events were not associated with universal glove and gown use (incidence rate ratio [IRR], 0.81; 95% confidence interval [CI], .48-1.36). This did not change with adjustment for ICU type, severity of illness, academic hospital status, and ICU size, (IRR, 0.91; 95% CI, .59-1.42; P = .68). Rates of infectious adverse events also did not differ after adjusting for the same factors (IRR, 0.75; 95% CI, .47-1.21; P = .24). CONCLUSIONS: In ICUs where healthcare workers donned gloves and gowns for all patient contact, patients were no more likely to experience adverse events than in control ICUs. Concerns of adverse events resulting from universal glove and gown use were not supported. Similar considerations may be appropriate regarding use of contact precautions. CLINICAL TRIALS REGISTRATION: NCT0131821.

Depression among older adults after traumatic brain injury: a national analysis.

OBJECTIVE: Sequelae of traumatic brain injury (TBI) include depression, which could exacerbate the poorer cognitive and functional recovery experienced by older adults. The objective of this study was to estimate incidence rates of depression after hospital discharge for TBI among Medicare beneficiaries aged at least 65 years, quantify the increase in risk of depression after TBI, and evaluate risk factors for incident depression post-TBI. METHODS: Using a retrospective analysis, the authors studied Medicare beneficiaries at least 65 years old hospitalized for TBI during 2006 to 2010 who survived to hospital discharge and had no documented diagnosis of depression before the study period (N = 67,347). RESULTS: The annualized incidence rate of depression per 1,000 beneficiaries was 62.8 (95% confidence interval [CI]: 61.6, 64.1) pre-TBI and 123.9 (95% CI: 121.6, 126.2) post-TBI. Annualized incidence rates were highest immediately after hospital discharge and declined over the 12 months post-TBI. TBI increased the risk of incident depression in men (hazard ratio: 1.95; 95% CI: 1.84, 2.06; Wald χ(2) = 511.4, df = 1, p <0.001) and in women (hazard ratio: 1.69; 95% CI: 1.62, 1.77; Wald χ(2) = 589.3, df = 1, p <0.001). The strongest predictor of depression post-TBI for both men and women was discharge to a skilled nursing facility (men: odds ratio, 1.91; 95% CI, 1.77, 2.06; Wald χ(2) = 277.1, df = 1, p <0.001; women: odds ratio, 1.72; 95% CI, 1.63, 1.83; Wald χ(2) = 324.2, df = 1, p <0.001). CONCLUSION: TBI significantly increased the risk of depression among older adults, especially among men and those discharged to a skilled nursing facility. Results from this study will help increase awareness of the risk of depression post-TBI among older adults.

Antiparkinson drug adherence and its association with health care utilization and economic outcomes in a Medicare Part D population.

OBJECTIVES: We examine the associations of adherence to antiparkinson drugs (APDs) with health care utilization and economic outcomes among patients with Parkinson's disease (PD). METHODS: By using 2006-2007 Medicare administrative data, we examined 7583 beneficiaries with PD who filled two or more APD prescriptions during 19 months (June 1, 2006, to December 31, 2007) in the Part D program. Two adherence measures--duration of therapy (DOT) and medication possession ratio (MPR)--were assessed. Negative binomial and gamma generalized linear models were used to estimate the rate ratios (RRs) of all-cause health care utilization and expenditures, respectively, conditional upon adherence, adjusting for survival risk, sample selection, and health-seeking behavior. RESULTS: Approximately one-fourth of patients with PD had low adherence (MPR < 0.80, 28.7%) or had a short DOT (≤ 400 days, 23.9%). Increasing adherence to APD therapy was associated with decreased health care utilization and expenditures. For example, compared with patients with low adherence, those with high adherence (MPR = 0.90-1.00) had significantly lower rates of hospitalization (RR = 0.86), emergency room visits (RR = 0.91), skilled nursing facility episodes (RR = 0.67), home health agency episodes (RR = 0.83), physician visits (RR = 0.93), as well as lower total health care expenditures (-$2242), measured over 19 months. Similarly, lower total expenditure (-$6308) was observed in patients with a long DOT versus those with a short DOT. CONCLUSIONS: In this nationally representative sample, higher adherence to APDs and longer duration of use of APDs were associated with lower all-cause health care utilization and total health care expenditures. Our findings suggest the need for improving medication-taking behaviors among patients with PD to reduce the use of and expenditures for medical resources.

Association between depression and maintenance medication adherence among Medicare beneficiaries with chronic obstructive pulmonary disease.

OBJECTIVE: Depression is a significant comorbidity in patients with chronic obstructive pulmonary disease (COPD). Although comorbid depression is associated with low use and poor adherence to medications treating other chronic conditions, evidence of the relationship between depression and COPD management is limited. This study estimated the association between depression and COPD maintenance medication (MM) adherence among patients with COPD. METHODS: This cross-sectional study used a 5% random sample of 2006-2007 Chronic Condition Warehouse data. Medicare beneficiaries enrolled in Parts A, B, and D plans with diagnosed COPD who survived through 2006 were included (n = 74,863). COPD MM adherence was measured as medication discontinuation and proportion of days covered (PDC). Depression was identified through the International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes. Multivariable models with modified generalized estimating equations were used to estimate adjusted association between depression diagnosis and medication adherence, controlling for sociodemographics, comorbidities, and disease severity. RESULTS: Among the sample, about one third (33.6%) had diagnosed depression. More than half (61.8%) of beneficiaries with COPD filled at least one COPD MM prescription. Depressed beneficiaries had a higher likelihood of using COPD MM than non-depressed beneficiaries (adjusted prevalence ratios [PR] = 1.02; 95% confidence intervals [CI] = 1.01, 1.03). Among COPD MM users, depressed beneficiaries were more likely to discontinue medications (PR = 1.09; 95% CI = 1.04, 1.14) and less likely to exhibit PDC ≥ 0.80 (PR = 0.89; 95% CI = 0.86, 0.92) than non-depressed beneficiaries. CONCLUSIONS: Depression is prevalent in Medicare beneficiaries with COPD and independently associated with lower COPD MM adherence. Interventions to improve medication adherence for COPD patients may consider management of comorbidities such as depression.

Perceptions of benzodiazepine dependence among women age 65 and older.

A phenomenological study explored whether older women who are chronic benzodiazepine users identified themselves as dependent, how dependence was perceived, and how meanings and understandings shaped experiences of benzodiazepine use. Self-reported benzodiazepine dependence was associated with being unable to reduce use or a desire to discontinue use and reliance on benzodiazepines to remain comfortable and able to handle daily life. Themes included: (a) benzodiazepine dependence is similar to dependence to diabetes or blood pressure medications; (b) dependence is distinctive from addiction/abuse; (c) addiction/abuse is perceived as worse than dependence; and (d) concerns of addiction/abuse result in low-dose benzodiazepine use.

Impact of Part D low-income subsidies on medication patterns for Medicare beneficiaries with diabetes.

BACKGROUND: It is not known whether low-income subsidies (LIS) under Medicare Part D help beneficiaries overcome impediments to medication use associated with poor socioeconomic status and high disease burden. OBJECTIVES: To compare Medicare beneficiaries with LIS and Medicaid (duals), LIS without dual eligibility, and non-LIS recipients on use of medications recommended in diabetes treatment. RESEARCH DESIGN: Fixed-effect comparisons among beneficiaries in the same Part D plans in 2006-2007. SUBJECTS: Nationally representative sample of enrollees in Part D prescription drug plans. A total of 109,292 beneficiaries were in 204 prescription drug plans; 47.5% non-LIS, 44.4% duals, and 8.1% nondual LIS recipients. MEASURES: Medications included antidiabetic agents, renin-angiotensin-aldosterone system inhibitors, and antihyperlipidemics. Drug use was measured by exposure, duration of therapy, and medication possession ratio. RESULTS: The LIS dual cohort had significantly higher comorbidity compared with non-LIS comparisons, LIS nonduals were significantly more likely to take medications in all 3 drug classes compared with non-LIS recipients, but differences were small (between 2% and 4%; P<0.05). Non-LIS recipients and duals had equivalent exposure to any antidiabetic drug and antihyperlipidemics, but duals were 3% less likely to receive renin-angiotensin-aldosterone system inhibitors compared with non-LIS recipients (P<0.05). Small differences in adjusted values for duration of therapy and medication possession ratio among the 3 cohorts were also observed, none of which were clinically meaningful. CONCLUSIONS: Similarities in medication utilization among Part D enrollees with and without LIS coverage supports the program objective of providing enhanced access to needed medications for diverse groups of Medicare beneficiaries.

Influence of prescription monitoring programs on analgesic utilization by an insured retiree population.

PURPOSE: To estimate the association between prescription drug monitoring programs (PDMP) and the probability of analgesic use, overall and by analgesic type. METHODS: This cross-sectional study used 2007 Coordination of Benefits (COB) MarketScan administrative claims data of Medicare eligible and their dependents (n = 2 175 012). The exposure was PDMP status: no PDMP, electronic-only PDMP (ePDMP), or electronic + paper PDMP (e + pPDMP). Outcomes included any analgesic use and, among users, analgesic use by schedule (CII, CIII, CIV, or CV-Rx). Multivariable logistic and multinomial regressions were used to estimate the associations of PDMP status with any analgesic use and schedule of analgesic, respectively, controlling for sociodemographic and clinical factors. RESULTS: There were 834 489 (38.4%) subjects who received at least one analgesic; of these, 28.9% received one or more opioid analgesics (OAs). Compared to individuals in non-PDMP states, those living in PDMP states had increased odds of receiving any analgesic (OR(ePDMP) = 1.19, 99%CI = 1.19, 1.20; OR(e+pPDMP) = 1.04, 99%CI = 1.03, 1.05). Among analgesic users, the odds of receiving potent CII analgesics relative to CV-Rx analgesics were lowest for individuals residing in e + pPDMP states (OR(e+pPDMP) = 0.54, 99%CI = 0.53, 0.55), followed by ePDMP states (OR(ePDMP) = 0.76, 99%CI = 0.75, 0.77) relative to non-PDMP states. The odds of receiving CIII OAs were highest for individuals in PDMP compared to non-PDMP states. CONCLUSIONS: PDMPs are associated with reductions in utilization of targeted prescription OAs and increases in less scrutinized, lower scheduled OAs. Longitudinal studies are needed to determine how PDMPs shift analgesic prescribing and whether such shifts influence clinical care and economic outcomes.