Effect of Part D Coverage Restrictions for Antidepressants, Antipsychotics, and Cholinesterase Inhibitors on Related Nursing Home Resident Outcomes

In 2006, Medicare Part D transitioned prescription drug coverage for dual-eligible nursing home residents from Medicaid to Medicare and randomly assigned them to Part D prescription drug plans (PDPs). Because PDPs may differ in coverage, residents’ assigned plans may be relatively more or less restrictive for drugs they take. Taking advantage of the fact that randomization mitigates potential selection bias common in observational studies, this study seeks to assess the impact of PDP coverageon resident outcomes for three medication classes – antidepressants, antipsychotics, and cholinesterase inhibitors

High-Risk Medication Use by Nursing Home Residents Before and After Hospitalization

Two prominent challenges in nursing home care are ensuring appropriate medication use and achieving high quality care as residents transition from the hospital to the nursing home and back. Research about prescribing practices at this important clinical juncture is limited

Medicare Part D Plan Generosity and Medication Use Among Dual-eligible Nursing Home Residents

In 2006, dual-eligible nursing home residents were randomly assigned to a Medicare Part D prescription drug plan (PDP). Subsequently, residents not enrolled in qualified plans at the start of the next year were re-randomized. PDPs vary in generosity through differences in medication coverage and utilization management. Therefore, residents’ assigned plans may be relatively more or less generous for their particular drugs. The impact of generosity on residents’ medication use and health outcomes is unknown

Bioelectrical impedance phase angle in clinical practice: implications for prognosis in stage IIIB and IV non-small cell lung cancer

<p>Abstract</p> <p>Background</p> <p>A frequent manifestation of advanced lung cancer is malnutrition, timely identification and treatment of which can lead to improved patient outcomes. Bioelectrical impedance analysis (BIA) is an easy-to-use and non-invasive technique to evaluate changes in body composition and nutritional status. We investigated the prognostic role of BIA-derived phase angle in advanced non-small cell lung cancer (NSCLC).</p> <p>Methods</p> <p>A case series of 165 stages IIIB and IV NSCLC patients treated at our center. The Kaplan Meier method was used to calculate survival. Cox proportional hazard models were constructed to evaluate the prognostic effect of phase angle, independent of stage at diagnosis and prior treatment history.</p> <p>Results</p> <p>93 were males and 72 females. 61 had stage IIIB disease at diagnosis while 104 had stage IV. The median phase angle was 5.3 degrees (range = 2.9 – 8). Patients with phase angle <= 5.3 had a median survival of 7.6 months (95% CI: 4.7 to 9.5; n = 81), while those with > 5.3 had 12.4 months (95% CI: 10.5 to 18.7; n = 84); (p = 0.02). After adjusting for age, stage at diagnosis and prior treatment history we found that every one degree increase in phase angle was associated with a relative risk of 0.79 (95% CI: 0.64 to 0.97, P = 0.02).</p> <p>Conclusion</p> <p>We found BIA-derived phase angle to be an independent prognostic indicator in patients with stage IIIB and IV NSCLC. Nutritional interventions targeted at improving phase angle could potentially lead to an improved survival in patients with advanced NSCLC.</p

Bioelectrical impedance phase angle as a prognostic indicator in breast cancer

<p>Abstract</p> <p>Background</p> <p>Bioelectrical impedance analysis (BIA) is an easy-to-use, non-invasive, and reproducible technique to evaluate changes in body composition and nutritional status. Phase angle, determined by bioelectrical impedance analysis (BIA), detects changes in tissue electrical properties and has been hypothesized to be a marker of malnutrition. Since malnutrition can be found in patients with breast cancer, we investigated the prognostic role of phase angle in breast cancer.</p> <p>Methods</p> <p>We evaluated a case series of 259 histologically confirmed breast cancer patients treated at Cancer Treatment Centers of America. Kaplan Meier method was used to calculate survival. Cox proportional hazard models were constructed to evaluate the prognostic effect of phase angle independent of stage at diagnosis and prior treatment history. Survival was calculated as the time interval between the date of first patient visit to the hospital and the date of death from any cause or date of last contact/last known to be alive.</p> <p>Results</p> <p>Of 259 patients, 81 were newly diagnosed at our hospital while 178 had received prior treatment elsewhere. 56 had stage I disease at diagnosis, 110 had stage II, 46 had stage III and 34 had stage IV. The median age at diagnosis was 49 years (range 25 – 74 years). The median phase angle score was 5.6 (range = 1.5 – 8.9). Patients with phase angle <= 5.6 had a median survival of 23.1 months (95% CI: 14.2 to 31.9; n = 129), while those > 5.6 had 49.9 months (95% CI: 35.6 to 77.8; n = 130); the difference being statistically significant (p = 0.031). Multivariate Cox modeling, after adjusting for stage at diagnosis and prior treatment history found that every one unit increase in phase angle score was associated with a relative risk of 0.82 (95% CI: 0.68 to 0.99, P = 0.041). Stage at diagnosis (p = 0.006) and prior treatment history (p = 0.001) were also predictive of survival independent of each other and phase angle.</p> <p>Conclusion</p> <p>This study demonstrates that BIA-derived phase angle is an independent prognostic indicator in patients with breast cancer. Nutritional interventions targeted at improving phase angle could potentially lead to an improved survival in patients with breast cancer.</p

The Antibiotic Prescribing Pathway for Presumed Urinary Tract Infections in Nursing Home Residents

Objectives: Due to the high rates of inappropriate antibiotic prescribing for presumed urinary tract infections (UTIs) in nursing home (NH) residents, we sought to examine the antibiotic prescribing pathway and the extent to which it agrees with the Loeb criteria; findings can suggest strategies for antibiotic stewardship. Methods: Chart review of 260 randomly-selected cases from 247 NH residents treated with an antibiotic for a presumed UTI in 31 NHs in North Carolina. We examined the prescribing pathway from presenting illness, to the prescribing event, illness work-up and subsequent clinical events including emergency department use, hospitalization, and death. Analyses described the decision-making processes and outcomes and compared decisions made with Loeb criteria for initiation of antibiotics. Results: Of 260 cases, 60% had documented signs/symptoms of the presenting illness and 15% met the Loeb criteria. Acute mental status change was the most commonly documented sign/symptom (24%). NH providers (81%) were the most common prescribers and ciprofloxacin (32%) was the most commonly prescribed antibiotic. Fourteen percent of presumed UTI cases included a white blood cell count, 71% included a urinalysis, and 72% had a urine culture. Seventy-five percent of cultures grew at least one organism with ≥100,000 colony-forming units/milliliter and 12% grew multi-drug resistant organisms; 28% of antibiotics were prescribed for more than 7 days, and 7% of cases had a subsequent death, emergency department visit, or hospitalization within 7 days. Discussion: Non-specific signs/symptoms appeared to influence prescribing more often than urinary tract-specific signs/symptoms. Prescribers rarely stopped antibiotics, and a minority prescribed for overly long periods. Providers may need additional support to guide the decision-making process to reduce antibiotic overuse and antibiotic resistance