Association of antecedent statin use on 30-day, 60-day and 90-day mortality among Mississippi Medicaid beneficiaries diagnosed with COVID-19.

OBJECTIVE: To assess if the antecedent statin use was associated with all-cause death among COVID-19 patients enrolled in Medicaid. DESIGN: Cohort study. SETTING: Mississippi Medicaid population. PARTICIPANTS: This study included 10 792 Mississippi Medicaid-enrolled patients between 18 and 64 years of age with a confirmed COVID-19 diagnosis from March 2020 to June 2021. INTERVENTION: Antecedent statin use, which was determined by a record of statin prescription in the 90-day period prior to the COVID diagnosis. MAIN OUTCOME MEASURES: The outcomes of interest included mortality from all cause within 30 days, 60 days and 90 days after index. RESULTS: A total of 10 792 patients with COVID-19 met the inclusion and exclusion criteria, with 13.1% of them being antecedent statin users. Statin users were matched 1:1 with non-users based on age, sex, race, comorbidities and medication use by propensity score matching. In total, the matched cohort consisted of 1107 beneficiaries in each group. Multivariable logistic regression showed that statin users were less likely to die within 30 days (adjusted OR: 0.51, 95% CI: 0.32 to 0.83), 60 days (OR: 0.56, 95% CI: 0.37 to 0.85) and 90 days (OR: 0.55, 95% CI: 0.37 to 0.82) after diagnosis of COVID-19. Those with low-intensity/moderate-intensity statin use had significantly lower mortality risk in the 60-day and the 90-day follow-up period, while the high intensity of statin use was only found to be significantly associated with a lower odd of mortality within 30 days post index. CONCLUSION: After COVID infection, Medicaid beneficiaries who had taken statins antecedently could be at lower risk for death. For patients with chronic conditions, continuity of care is crucial when interruptions occur in their medical care. Further research is required to further investigate the potential mechanisms and optimal use of statins in COVID-19 treatment.

Phase-Specific and Lifetime Costs of Multiple Myeloma Among Older Adults in the US.

Importance: Health care costs associated with diagnosis and care among older adults with multiple myeloma (MM) are substantial, with cost of care and the factors involved differing across various phases of the disease care continuum, yet little is known about cost of care attributable to MM from a Medicare perspective. Objective: To estimate incremental phase-specific and lifetime costs and cost drivers among older adults with MM enrolled in fee-for-service Medicare. Design, Setting, and Participants: A retrospective cohort study was conducted using population-based registry data from the 2007-2015 Surveillance, Epidemiology, and End Results database linked with 2006-2016 Medicare administrative claims data. Data analysis included 4533 patients with newly diagnosed MM and 4533 matched noncancer Medicare beneficiaries from a 5% sample of Medicare to assess incremental MM lifetime and phase-specific costs (prediagnosis, initial care, continuing care, and terminal care) and factors associated with phase-specific incremental MM costs. The study was conducted from June 1, 2019, to April 30, 2021. Main Outcomes and Measures: Incremental MM costs were calculated for the disease lifetime and the following 4 phases of care: prediagnosis, initial, continuing care, and terminal. Results: Of the 4533 patients with MM included in the study, 2374 were women (52.4%), 3418 (75.4%) were White, and mean (SD) age was 75.8 (6.8) years (2313 [51.0%] aged ≥75 years). The characteristics of the control group were similar; however, mean (SD) age was 74.2 (8.8) years (2839 [62.6%] aged ≤74 years). Mean adjusted incremental MM lifetime costs were $184 495 (95% CI, $183 099-$185 968). Mean per member per month phase-specific incremental MM costs were estimated to be $1244 (95% CI, $1216-$1272) for the prediagnosis phase, $11 181 (95% CI, $11 052-$11 309) for the initial phase, $5634 (95% CI, $5577-$5694) for the continuing care phase, and $6280 (95% CI, $6248-$6314) for the terminal phase. Although inpatient and outpatient costs were estimated as the major cost drivers for the prediagnosis (inpatient, 55.8%; outpatient, 40.2%), initial care (inpatient, 38.1%; outpatient, 35.5%), and terminal (inpatient, 33.0%; outpatient, 34.6%) care phases, prescription drugs (44.9%) were the largest cost drivers in the continuing care phase. Conclusions and Relevance: The findings of this study suggest that there is substantial burden to Medicare associated with diagnosis and care among older adults with MM, and the cost of care and cost drivers vary across different phases of the cancer care continuum. The study findings might aid policy discussions regarding MM care and coverage and help further the development of alternative payment models for MM, accounting for differential costs across various phases of the disease continuum and their drivers.

Factors influencing Human papillomavirus (HPV) vaccination series completion in Mississippi Medicaid.

PURPOSE: To identify factors associated with Human Papillomavirus (HPV) vaccine series completion among vaccine initiators in Mississippi Medicaid. METHODS: 2013-2018 Mississippi Medicaid administrative claims data were analyzed. Female and male beneficiaries aged 9 to 26 years who initiated HPV vaccination in the identification period were assessed for completion of age-appropriate number of recommended doses within a period of 12 months. Sex-stratified multivariable logistic regression was used to examine factors associated with HPV vaccine series completion in the study sample. RESULTS: A total of 18,110 female and 18,186 male beneficiaries initiated HPV vaccine between January 1, 2014 and June 30, 2017. Most of the initiators belonged to ages 11 to 12 years, African American race, managed care plans and Central Mississippi public health region. The vaccine series completion rate was 34% for females and 30% for males. Younger age at initiation was a significant predictor of vaccine series completion in both sexes. Specifically, initiators in age groups 9 to 10 and 11 to 12 years, respectively, had greater odds of completion, while initiators aged 15 to 26 years had lower odds of completion compared to initiators aged 13 to 14 years. Female and male beneficiaries in managed care plans (vs. fee-for-service) and of African American race (vs. Caucasians) had lower odds of completing the vaccine series. Female and male beneficiaries who initiated HPV vaccine series with a pediatrician had the highest completion rates. CONCLUSION: HPV vaccination series completion rate in Mississippi Medicaid was suboptimal despite the high HPV-related cancer incidence in the state. HPV vaccine series completion is influenced by various sociodemographic factors. There is a need for robust education and public health programs to encourage completion of recommended doses.

Patterns of treatment for psychiatric disorders among children and adolescents in Mississippi Medicaid.

The nature of services for psychiatric disorders in public health systems has been understudied, particularly with regard to frequency, duration, and costs. The current study examines patterns of service reception and costs among Medicaid-covered youth newly diagnosed with anxiety, depression, or behavioral disturbance in a large data set of provider billing claims submitted between 2015-2016. Eligibility criteria included: 1) identification of an initial diagnosis of a single anxiety, unipolar mood, or specific behavioral disorder; 2) continuous Medicaid eligibility over the duration of the time period studied; and 3) under 18 years of age on the date of initial psychiatric diagnosis. The final cohort included 7,627 cases with a mean age of 10.65 (±4.36), of which 58.04% were male, 57.09% were Black, 38.97% were White, and 3.95% were of other ethnicities. Data indicated that 65.94% of the cohort received at least some follow-up services within a median 18 days of diagnosis. Of those, 54.27% received a combination of medical and psychosocial services, 32.01% received medical services only, and 13.72% received psychosocial services only. Overall median costs for direct treatment were $576.69, with wide discrepancies between the lowest (anxiety = $308.41) and highest (behavioral disturbance = $653.59) diagnostic categories. Across all categories the frequency and duration of psychosocial services were much lower than would be expected in comparison to data from a well-known effectiveness trial. Overall, follow-up to psychiatric diagnosis could be characterized as highly variable, underutilized, and emphasizing biomedical treatment. Understanding more about these patterns may facilitate systematic improvements and greater cost efficiency in the future.

Representativeness of Medicare Participants in the Jackson Heart Study for African American Medicare Beneficiaries.

BACKGROUND: The Jackson Heart Study (JHS) assesses cardiovascular disease risk factors among African Americans in Jackson, Mississippi. Whether characteristics of JHS participants differ from those of a broader African American population are unknown. METHODS: In a retrospective observational analysis, we compared characteristics and outcomes of JHS participants 65 years old and older and enrolled in Medicare (n = 1,105) to regional (n = 57,489) and national (n = 95,494) cohorts of African American Medicare beneficiaries. We weighted the regional and national cohorts to match the age and sex distributions of the JHS-Medicare cohort for pairwise baseline comparisons. Outcomes of interest included mortality and Medicare costs. We used Cox proportional hazards models to test associations between cohorts and outcomes. RESULTS: The JHS-Medicare cohort was younger, included more women, and had fewer beneficiaries with dual Medicare-Medicaid eligibility, compared with regional and national Medicare cohorts. The cohort also had lower risks of stroke, lung disease, heart failure, diabetes, and renal disease. Mean Medicare costs were lower ($5,066 [SD = $11,932]) than in the regional ($7,419 [SD = $17,574]) and national ($8,013 [SD = $19,378]) cohorts. The regional and national cohorts had higher mortality (adjusted hazard ratios = 1.52; 95% confidence interval [CI] = 1.31, 1.76; and 1.49; 95% CI = 1.29, 1.73, respectively). Subgroup analysis for dual Medicare-Medicaid eligibility attenuated mortality differences. CONCLUSION: JHS-Medicare participants had fewer comorbid conditions, better survival, and lower Medicare costs compared with regional and national cohorts. Observed differences may reflect healthy volunteer bias and higher socioeconomic status.See video abstract at, http://links.lww.com/EDE/B235.

Factors Influencing the Use of Second-Generation Antipsychotics in Children with Psychosis.

BACKGROUND: In 2011, the U.S. Department of Health and Human Services sent a letter to state Medicaid directors explaining the need for oversight of psychiatric prescriptions for children with mental health disorders. The National Committee for Quality Alliance proposed 3 quality measures for rating managed care organizations (MCOs) that involve use of second-generation or atypical antipsychotics in children. In order to ensure appropriate use and to effectively manage the use of second-generation antipsychotics in children, MCOs need to better understand the factors that influence medication treatment decisions for children. OBJECTIVES: To (a) determine how patient-level and physician-level factors influence decisions to prescribe second-generation antipsychotics to children (aged under 18 years) diagnosed with psychosis and (b) evaluate how the influence of these factors may differ between primary care providers and psychiatrists. METHODS: This study employed a cross-sectional survey of 193 primary care providers and psychiatrists. A web-based patient simulation survey using a fractional factorial design was administered via a commercial vendor. Respondents were presented with simulated patient profiles described by various levels of factors considered to be essential to decision making. Respondents were asked to make treatment recommendations for each profile evaluated. In addition to treatment recommendations, demographics and beliefs about products were measured. Modified Poisson regression accounting for multilevel data was used to identify the factors that significantly affect treatment recommendations. RESULTS: Psychiatrists were more likely to recommend second-generation antipsychotics than primary care practitioners (unadjusted RR = 1.36, 95% CI = 1.23-1.51). Social factors such as foster status or parental concern were not found to be significant predictors of prescribing second-generation antipsychotics. The percentage of a provider's patients using second-generation antipsychotics (RR = 1.002, 95% CI = 1.0002-1.003), patient age (aged 4 years: RR = 0.75, 95% CI = 0.68-0.84; aged 10 years: RR = 0.94, 95% CI = 0.91-0.99; reference group: aged 15 years), and patient disease severity (severe: RR = 1.11, 95% CI = 1.04-1.18; moderate: RR = 1.10, 95% CI = 1.05-1.17; reference group: mild) significantly predicted prescription behavior among primary care providers and psychiatrists. Primary care providers were about twice as likely to recommend antipsychotics if they believed the use of antipsychotics was a labeled indication (RR = 2.16, 95% CI = 1.56-2.98) or a medically accepted use (RR = 1.88, 95% CI = 1.33-2.67), when compared with physicians who believed there was no evidence available. This effect was not significant among psychiatrists. Primary care providers, but not psychiatrists, were also significantly influenced by patient white blood cell (WBC) count. Patients with healthy WBC counts were 1.11 times as likely (95% CI = 1.05-1.17) to receive antipsychotics from primary care providers compared with those with low WBC count. Patient body mass index (BMI) was not found to significantly influence prescribing behavior. Nearly 50% of patients did not receive recommendations for psychosocial care. Primary care providers recommended antipsychotic polypharmacy in 23% of the patient profiles, while psychiatrists did so in 42% of the profiles. CONCLUSIONS: This study provides valuable insight into physician-prescribing practices for antipsychotics. The lack of significance of foster status and parental concern, after controlling for other factors, shows that physicians base their decisions on clinical factors more than social factors. Results for patient BMI and frequency of recommendations of polypharmacy are concerning. The general lack of awareness of evidence supporting use of antipsychotics is also highly concerning. The effects of patient BMI, beliefs about evidence supporting use, and prescribing practices with regard to psychosocial care and antipsychotic polypharmacy provide actionable results for managed care programs looking to improve their quality metrics. The results of this study further demonstrate the need for the immediate implementation of the various proposed quality metrics in this area and for new practice guidelines to raise the current standard of care. DISCLOSURES: No outside funding supported this research. Bentley reports the receipt of grants from PQA and the NACDS Foundation. Patel is employed by Medical Marketing Economics. The authors report no other conflicting interests, potential or otherwise. Study concept and design were contributed by Ramachandran, Banahan, West-Strum, and Bentley. Ramachandran, Banahan, and Patel collected data; data interpretation was performed primarily by Ramachandran, Banahan, and Patel, along with Bentley and West-Strum. The manuscript was primarily written by Ramachandran, along with Banahan and Bentley, and revised by Banahan, Bentley, West-Strum, and Patel.

Adherence to multiple medications prescribed for a chronic disease: a methodological investigation.

BACKGROUND: Many patients receive multiple medications for the treatment of a disease. While monitoring adherence is important, a composite measure of adherence is useful for estimating adherence to multiple medications in these patients. There are multiple ways to compute composite estimates of adherence to multiple medications, including (a) 80% of days covered by at least 1 medication ("at least 1"); (b) 80% of days covered by both medications ("both"); (c) 80% of days covered by each medication measured separately ("all"); and (d) computing an average of the individual medication adherence estimates ("average"). Comparison of adherence rates to individual medications and that of composite estimates are important for intervention decisions and effective disease management.  OBJECTIVES: To (a) examine adherence to multiple medications prescribed for a disease; (b) estimate composite adherence to multiple medications prescribed for a disease; and (c) determine the rate of differential classification of a patient being adherent as is estimated by different available algorithms.   METHODS: A retrospective cohort study was designed using 2002-2003 MarketScan Commercial Claims and Encounters data. To be included in the cohort, patients had to be less than aged 65 years and had to have separate prescriptions filled for 2 classes of diabetes medications (i.e., any sulfonylurea [SU] and any thiazolidinedione [TZD]) at least once; patients taking other diabetic medications over the observation period were excluded. Adherence was measured by proportion of days covered (PDC) over periods of 90 days (8 quarters total) and cumulatively over the 2-year study period. For some composite adherence estimates, patients were considered adherent if PDC ≥ 80%. Survival curves using the life-table method were constructed to compare the time until PDC became less than 80% as estimated by the 3 different categorical composite measures. RESULTS: A total of 6,043 patients were included in the analysis. Across the 8 quarters under consideration, the average PDC estimates ranged between 69.8%-84.2% for SUs and 70.3%-85.6% for TZDs. The mean composite PDC based on the average algorithm varied between 69.4% and 84.9% when measured over each quarter or cumulatively. Similarly, the rates of composite adherence ranged from 74.5% to 88.2%, 46.4% to 61.2%, and 47.7% to 62.9% for the "at least 1," "both," and "all" methods, respectively. Many subjects were classified as adherent by 1 composite dichotomous measure but not by all 3 dichotomous measures (i.e., "all," "at least 1," and "both"); of these patients, 30.6%-38.2% were classified differently as to their adherence status over different quarters by different measures. Survival curves of categorical composite measures were different (P less than 0.05) from one another. "At least 1" identified more patients as persistent and showed a much slower decline than did the "all" or "both" approaches.  CONCLUSIONS: Subjects were found to have a level of adherence-as estimated by individual medication adherence and composite adherence metrics-for multiple medications prescribed for a disease that, while not optimal from the perspective of patient care, was not entirely poor. In addition, composite estimates of adherence considerably varied depending on algorithms used. Most importantly, a large number of patients appeared to be subject to inconsistent classification based on adherence measurement algorithm. Adherence estimates produced by different composite measurement approaches give rise to difficulty in consistent interpretation, which may be detrimental to appropriate patient care decision making.

Factors that physicians find encouraging and discouraging about electronic prescribing: a quantitative study.

To determine factors that physicians find encouraging and discouraging about e-prescribing and to compare these factors based on physicians' adoption status, a cross-sectional study was conducted using an internet-based survey administered to a national convenience sample of primary care physicians. A scale was developed to measure factors related to the adoption of e-prescribing. Analysis procedures included exploratory factor analysis, multivariate analysis of variance, and Tukey's post-hoc tests. 443 surveys were received and seven e-prescribing factors were identified. Pre-implementation and cost factors were found to be most discouraging, while software features were found to be most encouraging. The fact that current e-prescribers found e-prescribing factors to be more encouraging than future or non-e-prescribers suggests that 'fear of the unknown' may play a role in prescribers' perceptions of e-prescribing and associated software. These findings will enable consultants, vendors, and policymakers to facilitate the adoption of e-prescribing by directly targeting the factors that are most salient to physicians.

Medication adherence among recipients with chronic diseases enrolled in a state Medicaid program.

Limited information is currently available about medication adherence for common chronic conditions among the Medicaid population. The primary objective of this study was to assess medication adherence among Medicaid recipients with depression, diabetes, epilepsy, hypercholesterolemia, and hypertension. Factors influencing adherence were determined. The authors also assessed whether adherence influences the utilization of acute care services. The target population included nonelderly adult recipients (ages 21-64 years) who were continuously enrolled in the Mississippi (MS) Medicaid fee-for-service program from January 1, 2006 to December 31, 2007. Recipients were identified who had a medical services claim with a diagnosis of depression, diabetes, epilepsy, hypercholesterolemia, or hypertension in calendar year 2006. Within each chronic disease sample, medication adherence was determined using calendar year 2007 data for recipients who met inclusion and exclusion criteria. Recipients with adherence ≥80% were classified as adherent. Logistic regression analyses were used to determine the factors that predict medication adherence and the effect of adherence on concurrent all-cause acute care service (ie, hospitalization, emergency room visit) utilization. Approximately 24% of recipients with depression, 35.9% with diabetes, 53.6% with epilepsy, 32% with hypercholesterolemia, and 42.2% with hypertension were adherent. Within each chronic disease sample, males and whites had higher adherence than females and blacks. After controlling for demographic and disease-related covariates, recipients who were adherent had lower concurrent acute care service utilization than nonadherent recipients. Given the inverse relationship between adherence and acute care service utilization, policy makers should consider implementing educational interventions aimed at improving adherence in this underprivileged population.

Nonadherence to angiotensin-converting enzyme inhibitors and/or angiotensin II receptor blockers among high-risk patients with diabetes in Medicare Part D programs.

OBJECTIVES: To identify predictors of nonadherence to angiotensin-converting enzyme inhibitors (ACEIs) and/or angiotensin II receptor blockers (ARBs) and to assess the association between nonadherence to ACEIs/ARBs and potentially avoidable hospitalizations (PAHs) among elderly high-risk patients with diabetes. METHODS: Medicare Part D enrollees from six states who had diabetes and coexisting hypertension and/or renal disease, were aged 65 years or older, and who had filled at least one prescription for ACEIs/ARBs in the first 6 months of 2006 were included in this retrospective cohort study. The primary outcomes of interests were patient nonadherence to ACEI/ARB therapy, which was defined as a proportion of days covered (PDC) less than 0.8 and PAH for diabetes during the patient follow-up period (July 1, 2006, to March 31, 2007). RESULTS: A total of 599,141 patients (mean [+/-SD] age 75.6 +/-7.3 years, 66% women, 63% white, 15% black, and 9% Hispanic) were included. Among them, 46% were nonadherent to ACEI/ARB therapy and 6.3% had a PAH during the follow-up period. In multivariate logistic regressions, patients with diabetes and both hypertension and renal disease and patients with diabetes and renal disease only were 24% and 15% more likely, respectively, to be nonadherent to ACEI/ARB therapy compared with patients with diabetes and hypertension. Black and Hispanic patients were also more likely to be nonadherent to ACEI/ARB therapy. Nonadherence to ACEI/ARB therapy was associated with a 5% increase in the likelihood of PAH. CONCLUSION: Adherence to ACEI/ARB therapy is suboptimal among elderly high-risk patients with diabetes enrolled in Medicare Part D programs from six states, and nonadherence to ACEIs/ARBs is associated with a slightly increased risk for PAH.

High-risk diabetic patients in Medicare Part D programs: are they getting the recommended ACEI/ARB therapy?

BACKGROUND: Diabetes patients with hypertension and/or renal disease are at an increased risk of cardiovascular morbidity and mortality. Clinical evidence suggests that the use of ACEI/ARB for these patients improves patient outcomes. OBJECTIVE: To describe ACEI/ARB utilization among high-risk patients with diabetes and to identify patient characteristics that predict suboptimal utilization of ACEI/ARB. DESIGN: A retrospective cohort study. PATIENTS: Diabetic patients with coexisting hypertension and/or renal disease with continuous Medicare coverage from October 1, 2005 through June 30, 2006 in six states (Alabama, California, Florida, Mississippi, New York, and Ohio). INTERVENTIONS AND MEASUREMENTS: Any ACEI/ARB use during the first 6 months of 2006. RESULTS: A total of 1,250,466 Medicare Part D enrollees met our inclusion criteria. ACEI/ARB utilization rates were 63%, 58.3%, and 43.1% among diabetic patients with hypertension and renal disease, hypertension without renal disease, and renal involvement without hypertension, respectively. After adjusting for all other characteristics studied, patients in the hypertension only (OR 0.83; 95% CI: 0.82-0.84) and renal disease only (OR: 0.48; 95% CI: 0.46-0.50) risk groups were less likely to use ACEI/ARB compared to diabetes patients with both hypertension and renal disease. Several demographics, including male gender, age older than 65, and white race, were all predictors of suboptimal ACEI/ARB use. Results from state-specific analyses are consistent with those for all six states. CONCLUSION: In this cohort, less than 60% of high-risk patients with diabetes were receiving the recommended ACEI/ARB therapy. Several patient demographic and clinical characteristics are strongly associated with suboptimal ACEI/ARB use.

Predictors of medication nonadherence among patients with diabetes in Medicare Part D programs: a retrospective cohort study.

OBJECTIVES: This study examined the prevalence of nonadherence with oral hypoglycemic agents, antihypertensive drugs (angiotensin-converting enzyme inhibitors [ACEIs] and angiotensin II receptor blockers [ARBs]), and statin medications among Medicare Part D enrollees with diabetes and analyzed the potential demographic and clinical factors that predict medication nonadherence. METHODS: This was a retrospective cohort study of Medicare Part D enrollees with diabetes from 6 states (Alabama, California, Florida, Mississippi, New York, and Ohio). Adherence was calculated as the proportion of days covered (PDC; number of days with medication on hand/number of days in the specified time interval). A PDC was derived for each of the 3 categories of medications for patients who had at least 1 claim for the same class of medication. A comorbidity measure was created for each beneficiary using the Deyo-adapted Charlson Comorbidity Index (CCI). Associations between nonadherence and patient characteristics including age, sex, race/ethnicity, and Deyo-adapted CCI were examined. Logistic regression models were constructed to identify predictors of nonadherence. RESULTS: The study included 1,888,682 patients with diabetes. The mean (SD) age was 71.6 (11.6) years, and 59.5% (1,123,220/1,888,682) were female. A total of 66.4% (1,254,538/1,888,682) were white, 16.3% (308,158/1,888,682) were black, and 7.8% (147,498/1,888,682) were Hispanic. Estimated rates of non-adherence for oral hypoglycemic agents, ACEIs/ARBs, and statins were 35.1% (386,666/1,101,533), 41.8% (449,561/1,075,285), and 46.4% (447,106/962,877), respectively. In unadjusted analyses, patients aged <65 years, women, black or Hispanic patients, and patients with higher Deyo-adapted CCI were more likely to be nonadherent to all 3 classes of medications. The results were consistent in multivariate analyses, and all results were statistically significant at P < 0.001. CONCLUSIONS: In this study of Medicare Part D enrollees with diabetes, patients aged <65 years, women, black or Hispanic patients, and those with higher comorbidity scores were more likely to be nonadherent to medications. Interventions should be developed to improve medication adherence among these subgroups so that patients can achieve the full benefits of prescribed pharmacologic therapies.