Assessment of Knowledge Regarding Risks and Benefits of the Use of Non-Vitamin K Antagonist Oral Anticoagulants.

BACKGROUND: Non-vitamin K antagonist oral anticoagulants (NOAC) have replaced vitamin K antagonist (VKA) oral anticoagulants as the first-line treatment option for stroke prevention in high-risk patients with atrial fibrillation. With VKA therapy, disease and treatment-related knowledge is associated with improved adherence and outcomes. There is concern that due to the lack of need for ongoing visits for laboratory monitoring in patients on NOACs, there is less opportunity for education, leading to poor disease- and treatment-related knowledge in this patient group. METHODS: One hundred ninety-nine (199) patients presenting to 2 primary care clinics on NOAC therapy were surveyed regarding atrial fibrillation and their knowledge regarding NOACs. Chart review was completed to determine patient characteristics and data obtained was compared with survey results to determine the accuracy of the survey responses. RESULTS: Patients with a lower degree of NOAC knowledge tended to be older (P < .001), have higher Charlson Comorbidity Index scores (P = .001), use apixaban more often (P = .008), and have been on NOACs for a shorter time period (P = .007). CONCLUSIONS: There is an opportunity to improve NOAC-related knowledge in patients with atrial fibrillation. When developing educational interventions, patient characteristics associated with poor knowledge should be considered. Based on our results, these are patients who are older, more medically complex, are on apixaban, and have been on NOAC therapy for a shorter duration.

Can AM-PAC "6-Clicks" Inpatient Functional Assessment Scores Strengthen Hospital 30-Day Readmission Prevention Strategies?

Background Prevention of unplanned hospital readmissions remains a priority in the US healthcare sector. Patient functional status has evolved as an important factor in identifying patients at risk for unplanned readmissions and poor predischarge functional performance has been shown to be predictive of increased readmission risk. Yet, patient functional status appears to be underutilized in readmission prediction models. Methods To examine the impact of inpatient functional status (mobility and activity performance) on unplanned 30-day hospital readmissions at two tertiary care hospitals, retrospective cohort analysis was performed on electronic health record data from adult inpatients (N = 26,298) having undergone completed functional assessments during their index hospitalization. Primary outcomes were functional assessment scores and unplanned all-cause patient readmission within 30 days following hospital discharge. Secondary analysis stratified the assessment by discharge destination. Functional assessment scores from the Activity Measure for Post-Acute Care (AM-PAC) "6-Clicks" Basic Mobility Short Form or Daily Activity Short Form were extracted along with patient demographics, admission diagnoses, comorbid conditions, and hospital readmission risk score.  Results Adjusting for age, sex, and comorbidity, lower AM-PAC "6-Clicks" Basic Mobility and Daily Activity scores resulted in higher readmission rates when each score was considered separately. When both scores were considered, only Daily Activity scores were significant.  Conclusion Patients with lower Basic Mobility and Daily Activity scores are at a higher risk for readmission. The relative importance of AM-PAC "6-Click" scores on short-term readmission depends on discharge destination. Timely identification of patient mobility and activity performance may lead to earlier intervention strategies to reduce readmissions.

Impact of Patient Stage and Disease Characteristics on the proposed Radiation Oncology Alternative Payment Model (RO-APM).

PURPOSE: The proposed Radiation Oncology Alternative Payment Model (RO-APM) released on July 10, 2019, represents a dramatic shift from fee-for-service (FFS) reimbursement in radiation therapy (RT). This study compares historical revenue at Mayo Clinic to the RO-APM and quantifies the effect that disease characteristics may have on reimbursement. METHODS AND MATERIALS: FFS Medicare reimbursements were determined for patients undergoing RT at Mayo Clinic from 2015 to 2016. Disease categories and payment episodes were defined as per the RO-APM. Average RT episode reimbursements were reported for each disease site, except for lymphoma and metastases, and stratified by stage and disease subcategory. Comparisons with RO-APM reimbursements were made via descriptive statistics. RESULTS: A total of 2098 patients were identified, of whom 1866 (89%) were categorized per the RO-APM; 840 (45%) of those were aged >65 years. Breast (33%), head and neck (HN) (14%), and prostate (11%) cancer were most common. RO-APM base rate reimbursements and sensitivity analysis range were lower than historical reimbursement for bladder (-40%), cervical (-34%), lung (-28%), uterine (-26%), colorectal (-24%), upper gastrointestinal (-24%), HN (-23%), pancreatic (-20%), prostate (-16%), central nervous system (-13%), and anal (-10%) and higher for liver (+24%) and breast (+36%). Historical reimbursement varied with stage (stage III vs stage I) for breast (+57%, P < .01), uterine (+53%, P = .01), lung (+50%, P < .01), HN (+24%, P = .01), and prostate (+13%, P = .01). Overall, for patients older than 65 years of age, the RO-APM resulted in a -9% reduction in total RT reimbursement compared with historical FFS (-2%, -15%, and -27% for high, mid, and low adjusted RO-APM rates). CONCLUSIONS: Our findings indicate that the RO-APM will result in significant reductions in reimbursement at our center, particularly for cancers more common in underserved populations. Practices that care for socioeconomically disadvantaged populations may face significant reductions in revenue, which could further reduce access for this vulnerable population.

Impact of Psychiatric Comorbidities on Health Care Costs Among Patients With Cancer.

BACKGROUND: Psychiatric disorders are common in cancer patients and impact outcomes. Impact on cancer care cost needs study to develop business case for psychosocial interventions. OBJECTIVE: To evaluate the impact of preexisting psychiatric comorbidities on total cost of care during 6 months after cancer diagnosis. METHODS: This retrospective cohort study examined patients diagnosed with cancer between January 1, 2009, and December 31, 2014, at one National Cancer Institute-designated cancer center. Patients who received all cancer treatment at the study site (6598 of 11,035 patients) were included. Patients were divided into 2 groups, with or without psychiatric comorbidity, based on International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes. Total costs of care during the first 6 months of treatment were based on standardized costs adjusted to 2014 dollars, determined by assigning Medicare reimbursement rates to professional billed services and applying appropriate cost-to-charge ratios. Quantile regression models with covariate adjustments were developed to assess the effect of psychiatric comorbidity across the distribution of costs. RESULTS: Six hundred ninety-eight (10.6%) of 6598 eligible patients had at least one psychiatric comorbidity. These patients had more nonpsychiatric Elixhauser comorbidities (mean 4 vs. 3). Unadjusted total cancer care costs were higher for patients with psychiatric comorbidity (mean [standard deviation]: $51,798 [$74,549] vs. $32,186 [$45,240]; median [quartiles]: $23,871 [$10,705-$57,338] vs. $19,073 [$8120-$38,230]). Quantile regression models demonstrated that psychiatric comorbidity had significant incremental effects at higher levels of cost: 75th percentile $8629 (95% confidence interval: $3617-13,642) and 90th percentile $42,586 (95% confidence interval: $25,843-59,330). CONCLUSIONS: Psychiatric comorbidities are associated with increased total cancer costs, especially in patients with very high cancer care costs, representing an opportunity to develop mitigation strategies.

Identifying the Most Costly Patients in Radiation Oncology and Predicting the Top Spenders.

PURPOSE: Quality payment programs aim to adjust payments on the basis of quality and cost; however, few quality metrics exist in radiation oncology. This study evaluates and predicts the top spenders (TS) after radiation therapy (RT). MATERIALS AND METHODS: Patient characteristics, cancer details, treatments, toxicity, and survival data were collected for patients treated with RT at Mayo Clinic from 2007 to 2016. Standardized costs were obtained and adjusted for inflation. TSs were identified as those with greater than 93rd percentile costs (≥ $120,812). Prediction models were developed to predict TSs using training and validation sets using information available at consultation, after RT, and at last follow-up. RESULTS: A total of 15,131 patients were included and 1,065 TSs identified. Mean cost overall was $55,290 (median, $39,996) for all patients. Prediction models 1, 2, and 3 had concordance statistics of 0.83 to 0.83, 0.85 to 0.85, and 0.87 to 0.88, respectively in training and validation, indicating excellent prediction of TSs. Factors that were most predictive of TSs included stage N/A and stage 4 (v stage 0; odds ratio [OR], 18.23 and 8.44, respectively; P < .001); hematologic, upper GI, skin and lung cancers (v breast; OR, 11.45, 7.69, 3.81, and 2.43, respectively; P < .01); immunotherapy, surgery, and chemotherapy use (OR, 4.36, 2.51, and 1.61, respectively; P < .01); hospitalizations within 90 days of RT (OR, 2.26; P < .01); or death during the episode (OR, 1.56; P < .01). CONCLUSION: This is the first study of its kind to predict with high accuracy the highest spenders in radiation oncology. These patients may benefit from pre-emptive management to mitigate costs, or may require exclusion or adjustment from quality payment programs.

Cost of Acute and Follow-Up Care in Patients With Pre-Existing Psychiatric Diagnoses Undergoing Radiation Therapy.

PURPOSE: The impact of psychiatric comorbidities on the cost of cancer care in radiation oncology practices is not well studied. We assessed the acute and 24-month follow-up costs for patients with and without pre-existing psychiatric comorbidities undergoing radiation therapy. METHODS AND MATERIALS: Patients with cancer undergoing radiation therapy at our institution from 2009 to 2014 were denoted as having pre-existing psychiatric conditions (Psych group) if they had associated billing codes for any of the 422 International Classification of Diseases, 9th revision psychiatric conditions during the 12 months before their cancer diagnosis. The Elixhauser comorbidity index was calculated, excluding psychiatric categories. Medicare reimbursement was assigned to professional services, and Medicare departmental cost-to-charge ratios were applied to service line hospital charges and adjusted for inflation to create 2017 standardized costs. Acute (0-6 month) and follow-up (6-24 month) costs were subcategorized into clinic, emergency department, hospital inpatient, and outpatient costs. RESULTS: Among 1275 patients, 126 (9.9%) had at least 1 pre-existing psychiatric diagnosis. On univariate analysis, both acute and long-term costs were higher in the Psych group. The largest significant differences in costs were follow-up hospital inpatient costs ($5861 higher; 95% confidence interval [CI], $687-$11,035; P = .002), follow-up hospital outpatient costs ($2086 higher; 95% CI, -$142 to $4,314; P = .040), and follow-up emergency department costs ($396 higher; 95% CI, $149-$643; P < .001). Age, race, sex, and treatment modalities were comparable, but the Psych group patients had more median comorbidities (2 vs 1) and had more respiratory cancer diagnoses than the nonpsychiatric group (31% vs 17%). On multivariate analysis adjusted for age, sex, cancer diagnosis, and comorbidities, global follow-up costs remained 150% higher in the Psych group (P < .001). Acute costs were similar after adjustment (P = .63). CONCLUSIONS: Psychiatric comorbidities independently predict elevated healthcare costs in patients treated for cancer. Radiation oncology payment models should consider adjustments to account for psychiatric comorbidities because addressing these may mitigate cost differential.

Utilization and Cost Analysis of Lung Transplantation and Survival After 10 Years of Adapting the Lung Allocation Score.

BACKGROUND: Lungs are allocated in the United States using the lung allocation score (LAS). We investigated the effect of LAS trends on lung transplant-related costs, healthcare utilization, and mortality. METHODS: Utilization data from Mayo Clinic (Florida and Minnesota) from 2005 to 2015 were obtained from the electronic health records (N = 465). Costs were categorized as 1-year posttransplant or transplant episode and standardized using 2015 Medicare reimbursement and cost-to-charge ratios. Regression analysis was used to assess the relationship of LAS to length of stay (LOS), mortality, and cost of transplant. RESULTS: The mean LAS at transplant increased from 45.7 to 58.3 during the study period, whereas the 1-year survival improved from 88.1% to 92.5% (P < 0.0001). The proportion of patients transplanted with LAS of 60 or greater increased from 16.9% to 33.3%. Posttransplant, overall, and intensive care unit LOS increased with increasing LAS. Patients with higher LAS had substantially higher transplant episode costs. An increase of LAS at transplant by 10 points increased inflation-adjusted costs by 12.0% (95% confidence interval, 9.3%-14.5%). CONCLUSIONS: The mean LAS at transplant has significantly increased over time associated with increases in LOS, resource utilization and cost. Lung allocation score has not jeopardized overall survival, but a high LAS (>60) at transplant is associated with increased mortality.