Unintended Consequences: The Potential Impact of Medicare Part D on Dual Eligibles with Disabilities in Medicaid Work Incentive Programs

Common sense suggests that a safety net is required for situations in which enrollees are unable to obtain critical or life-sustaining medications. Such situations can arise when either the drug is not on formulary and/or is being used off-label and the appeals process has been exhausted, or when patients cannot afford the co-payments for the numerous medications they need. Given the vulnerability of this population, immediate action is needed to address these issues in the short time remaining before Part D is implemented

Medicaid’s expenditures for newer pharmacotherapies for adults with disabilities

Medicaid's drug expenditures have grown at double-digit inflation rates since 2000. These prescription drug costs are important contributors to increasing health care costs for disabled persons. In spite of this knowledge, little has been reported about specific patterns of medication use among disabled enrollees. We analyzed Kansas Medicaid data to describe trend in medication use patterns across 3 years among disabled beneficiaries. The marked shifts toward newer medications and disproportionate contributions of newer, more expensive medications to overall prescription costs for antipsychotics, antidepressants, anticonvulsants, antiulcer medications, anti-inflammatory agents, and opioids have implications for both policy and practice

Medicaid's Expenditures for Newer Pharmacotherapies for Adults with Disabilities

This is the publisher's version, also available electronically from http://www.cms.gov/Research-Statistics-Data-and-Systems/Research/HealthCareFinancingReview/List-of-Past-Articles-Items/CMS1206484.html?DLPage=1&DLFilter=2007&DLSort=2&DLSortDir=descending.Medicaid's drug expenditures have grown at double-digit inflation rates since 2000. These prescription drug costs are important contributors to increasing health care costs for disabled persons. In spite of this knowledge, little has been reported about specific patterns of medication use among disabled enrollees. We analyzed Kansas Medicaid data to describe trends in medication use patterns across 3 years among disabled beneficiaries.The authors are with the University of Kansas. The research in this article was supported by the Kansas Department of Social and Rehabilitation Services under Contract Number KAN30700/30705. Sally K. Rigler received salary support from the National Institute on Aging under Contract Number K08 AG019516. The statements expressed in this article are those of the authors and do not necessarily reflect the views or policies of the University of Kansas, Kansas Department of Social and Rehabilitation Services, the National Institute on Aging, or the Centers for Medicare & Medicaid Services (CMS)

Medicaid managed care: Issues for beneficiaries with disabilities

Background: States are increasingly turning to managed care arrangements to control costs in their Medicaid programs. Historically, such arrangements have excluded people with disabilities who use long-term services and supports (LTSS) due to their complex needs. Now, however, some states are also moving this population to managed care. Little is known about the experiences of people with disabilities during and after this transition. Objective: To document experiences of Medicaid enrollees with disabilities using long-term services and supports during transition to Medicaid managed care in Kansas. Methods: During the spring of 2013, 105 Kansans with disabilities using Medicaid long-term services and supports (LTSS) were surveyed via telephone or in-person as they transitioned to managed care. Qualitative data analysis of survey responses was conducted to learn more about the issues encountered by people with disabilities under Medicaid managed care. Results: Respondents encountered numerous disability-related difficulties, particularly with transportation, durable medical equipment, care coordination, communication, increased out of pocket costs, and access to care. Conclusions: As more states move people with disabilities to Medicaid managed care, it is critically important to address these identified issues for a population that often experiences substantial health disparities and a smaller margin of health. It is hoped that the early experiences reported here can inform policy-makers in other states as they contemplate and design similar programs

Impact of a modified data capture period on Liu comorbidity index scores in Medicare enrollees initiating chronic dialysis

A grant from the One-University Open Access Fund at the University of Kansas was used to defray the author’s publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.Background: The Liu Comorbidity Index uses the United States Renal Data System (USRDS) to quantify comorbidity in chronic dialysis patients, capturing baseline comorbidities from days 91 through 270 after dialysis initiation. The 270 day survival requirement results in sample size reductions and potential survivor bias. An earlier and shorter time-frame for data capture could be beneficial, if sufficiently similar comorbidity information could be ascertained. Methods: USRDS data were used in a retrospective observational study of 70,114 Medicare- and Medicaid-eligible persons who initiated chronic dialysis during the years 2000–2005. The Liu index was modified by changing the baseline comorbidity capture period to days 1–90 after dialysis initiation for persons continuously enrolled in Medicare. The scores resulting from the original and the modified comorbidity indices were compared, and the impact on sample size was calculated. Results: The original Liu comorbidity index could be calculated for 75% of the sample, but the remaining 25% did not survive to 270 days. Among 52,937 individuals for whom both scores could be calculated, the mean scores for the original and the modified index were 7.4 ± 4.0 and 6.4 ± 3.6 points, respectively, on a 24-point scale. The most commonly calculated difference between scores was zero, occurring in 44% of patients. Greater comorbidity was found in those who died before 270 days. Conclusions: A modified version of the Liu comorbidity index captures the majority of comorbidity in persons who are Medicare-enrolled at the time of chronic dialysis initiation. This modification reduces sample size losses and facilitates inclusion of a sicker portion of the population in whom early mortality is common. Keywords: Comorbidity, Kidney failure, Chronic, Renal dialysis, Epidemiologic research desig

Frequency and Predictors of Suboptimal Prescribing Among a Cohort of Older Male Residents with Urinary Tract Infection

BACKGROUND Unnecessary antibiotic treatment of suspected urinary tract infection (UTI) is common in long-term care facilities (LTCFs). However, less is known about the extent of suboptimal treatment, in terms of antibiotic choice, dose, and duration, after the decision to use antibiotics has been made. METHODS We described the frequency of potentially suboptimal treatment among residents with an incident UTI (first during the study with none in the year prior) in Veterans Affairs’ (VA) Community Living Centers (CLCs, 2013-2018). Time trends were analyzed using Joinpoint regression. Residents with UTIs receiving potentially suboptimal treatment were compared to those receiving optimal treatment to identify resident characteristics predictive of suboptimal antibiotic treatment, using multivariable unconditional logistic regression models. RESULTS We identified 21,938 residents with an incident UTI treated in 120 VA CLCs, of which 96.0% were male. Potentially suboptimal antibiotic treatment was identified in 65.0% of residents and decreased 1.8% annually (p\u3c0.05). Potentially suboptimal initial drug choice was identified in 45.6% of residents, suboptimal dose frequency in 28.6%, and longer than recommended duration in 12.7%. Predictors of suboptimal antibiotic treatment included: prior fluoroquinolone exposure (adjusted odds ratio [aOR] 1.38), chronic renal disease (aOR 1.19), age \u3e85 years (aOR 1.17), prior skin infection (aOR 1.14), recent high white blood cell count (aOR 1.08), and genitourinary disorder (aOR 1.08). CONCLUSION Similar to findings in non-VA facilities, potentially suboptimal treatment was common but improving in CLC residents with an incident UTI. Predictors of suboptimal antibiotic treatment should be targeted with antibiotic stewardship interventions to improve UTI treatment

Predictors of potentially suboptimal treatment of urinary tract infections in long-term care facilities

Background: Suboptimal antibiotic treatment of urinary tract infection (UTI) is high in long-term care facilities (LTCFs) and likely varies between facilities. Large-scale evaluations have not been conducted. Aim: To identify facility-level predictors of potentially suboptimal treatment of UTI in Veterans Affairs (VA) LTCFs and to quantify variation across facilities. Methods: This was a retrospective cohort study of 21,938 residents in 120 VA LTCFs (2013–2018) known as Community Living Centers (CLCs). Potentially suboptimal treatment was assessed from drug choice, dose frequency, and/or treatment duration. To identify facility characteristics predictive of suboptimal UTI treatment, LTCFs with higher and lower rates of suboptimal treatment (≥median, \u3c median) were compared using unconditional logistic regression models. Joinpoint regression models were used to quantify average percentage difference across facilities. Multilevel logistic regression models were used to quantify variation across facilities. Findings: The rate of potentially suboptimal antibiotic treatment varied from 1.7 to 34.2 per 10,000 bed-days across LTCFs. The average percentage difference in rates across facilities was 2.5% (95% confidence interval (CI): 2.4–2.7). The only facility characteristic predictive of suboptimal treatment was the incident rate of UTI per 10,000 bed-days (odds ratio: 4.9; 95% CI: 2.3–10.3). Multilevel models demonstrated that 94% of the variation between facilities was unexplained after controlling for resident and CLC characteristics. The median odds ratio for the full multilevel model was 1.37. Conclusion: Potentially suboptimal UTI treatment was variable across VA LTCFs. However, most of the variation across LTCFs was unexplained. Future research should continue to investigate factors that are driving suboptimal antibiotic treatment in LTCFs

Geriatric Conditions Are Associated With Decreased Anticoagulation Use in Long-Term Care Residents With Atrial Fibrillation

Background Anticoagulation is the mainstay for stroke prevention in patients with atrial fibrillation, but concerns about bleeding inhibit its use in residents of long-term care facilities. Risk-profiling algorithms using comorbid disease information (eg, CHADS2 and ATRIA [Anticoagulation and Risk Factors in Atrial Fibrillation]) have been available for years. In the long-term care setting, however, providers and residents may place more value on geriatric conditions such as mobility impairment, activities of daily living dependency, cognitive impairment, low body mass index, weight loss, and fall history. Methods and Results Using a retrospective cohort design, we measured the association between geriatric conditions and anticoagulation use and type. After merging nursing home assessments containing information about geriatric conditions (Minimum Data Set 2015) with Medicare Part A 2014 to 2015 claims and prescription claims (Medicare Part D) 2015 to 2016, we identified 228 741 residents with atrial fibrillation and elevated stroke risk (CHA2DS2-VASc score \u3e /=2) for our main analysis. Recent fall, activities of daily living dependency, moderate and severe cognitive impairment, low body mass index, and unintentional weight loss were all associated with lower anticoagulation use even after adjustment for multiple predictors of stroke and bleeding (odds ratios ranging from 0.51 to 0.91). Residents with recent fall, low body mass index, and unintentional weight loss were more likely to be using a direct oral anticoagulant, although the magnitude of this effect was smaller. Conclusions Geriatric conditions were associated with lower anticoagulation use. Preventing stroke in these residents with potential for further physical and cognitive impairment would appear to be of paramount significance, although the net benefit of anticoagulation in these individuals warrants further research

Using "warm handoffs" to link hospitalized smokers with tobacco treatment after discharge: Study protocol of a randomized controlled trial

Abstract Background Post-discharge support is a key component of effective treatment for hospitalized smokers, but few hospitals provide it. Many hospitals and care settings fax-refer smokers to quitlines for follow-up; however, less than half of fax-referred smokers are successfully contacted and enrolled in quitline services. “Warm handoff” is a novel approach to care transitions in which health care providers directly link patients with substance abuse problems with specialists, using face-to-face or phone transfer. Warm handoff achieves very high rates of treatment enrollment for these vulnerable groups. Methods The aim of this study—“EQUIP” (Enhancing Quitline Utilization among In-Patients)—is to determine the effectiveness, and cost-effectiveness, of warm handoff versus fax referral for linking hospitalized smokers with tobacco quitlines. This study employs a two-arm, individually randomized design. It is set in two large Kansas hospitals that have dedicated tobacco treatment interventionists on staff. At each site, smokers who wish to remain abstinent after discharge will be randomly assigned to groups. For patients in the fax group, staff will provide standard in-hospital intervention and will fax-refer patients to the state tobacco quitline for counseling post-discharge. For patients in the warm handoff group, staff will provide brief in-hospital intervention and immediate warm handoff: staff will call the state quitline, notify them that a warm handoff inpatient from Kansas is on the line, then transfer the call to the patients’ mobile or bedside hospital phone for quitline enrollment and an initial counseling session. Following the quitline session, hospital staff provides a brief check-back visit. Outcome measures will be assessed at 1, 6, and 12 months post enrollment. Costs are measured to support cost-effectiveness analyses. We hypothesize that warm handoff, compared to fax referral, will improve care transitions for tobacco treatment, enroll more participants in quitline services, and lead to higher quit rates. We also hypothesize that warm handoff will be more cost-effective from a societal perspective. Discussion If successful, this project offers a low-cost solution for more efficiently linking millions of hospitalized smokers with effective outpatient treatment—smokers that might otherwise be lost in the transition to outpatient care. Trial registration Clinical Trials Registration NCT01305928Peer Reviewe

Using “warm handoffs” to link hospitalized smokers with tobacco treatment after discharge: study protocol of a randomized controlled trial

Post-discharge support is a key component of effective treatment for hospitalized smokers, but few hospitals provide it. Many hospitals and care settings fax-refer smokers to quitlines for follow-up; however, less than half of fax-referred smokers are successfully contacted and enrolled in quitline services. “Warm handoff” is a novel approach to care transitions in which health care providers directly link patients with substance abuse problems with specialists, using face-to-face or phone transfer. Warm handoff achieves very high rates of treatment enrollment for these vulnerable groups