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.

How Would Americans' Out-of-Pocket Costs Change If Insurance Plans Were Allowed to Exclude Coverage for Preexisting Conditions?

Issue: A current Republican legislative proposal would permit insurers to offer plans that exclude coverage of treatment for preexisting health conditions, even while the bill would maintain the Affordable Care Act's rule prohibiting denial of coverage to people with a preexisting condition. Goal: Estimate patients' out-of-pocket costs for five common preexisting conditions if the bill were to become law and assess any additional impact on out-of-pocket expenditures if spending on care for preexisting conditions no longer counted against plan deductibles. Methods: Analysis of 2014­2016 Medical Expenditure Panel Survey data for the privately insured adult population under age 65; and the proposed Ensuring Coverage for Patients with Pre-Existing Conditions Act (S. 3388). Findings and Conclusion: If preexisting conditions were excluded from coverage, nearly all people with these conditions would see increased out-of-pocket costs. Average out-of-pocket costs for those with cancer or diabetes would triple, while costs for arthritis, asthma, and hypertension care would rise by 27 percent to 39 percent. Some individuals would see much larger increases: for example, 10 percent of diabetes patients could expect to incur over $9,200 annually in out-of-pocket costs. Many with preexisting conditions also would spend more on conditions that are not excluded, since out-of-pocket spending on their preexisting conditions would no longer count toward the deductible and out-of-pocket maximum.

The effect of pre-existing health conditions on the cost of recovery from road traffic injury: insights from data linkage of medicare and compensable injury claims in Victoria, Australia.

BACKGROUND: Comorbidity is known to affect length of hospital stay and mortality after trauma but less is known about its impact on recovery beyond the immediate post-accident care period. The aim of this study was to investigate the role of pre-existing health conditions in the cost of recovery from road traffic injury using health service use records for 1 year before and after the injury. METHODS: Individuals who claimed Transport Accident Commission (TAC) compensation for a non-catastrophic injury that occurred between 2010 and 2012 in Victoria, Australia and who provided consent for Pharmaceutical Benefits Scheme (PBS) and Medicare Benefits Schedule (MBS) linkage were included (n = 738) in the analysis. PBS and MBS records dating from 12 months prior to injury were provided by the Department of Human Services (Canberra, Australia). Pre-injury use of health service items and pharmaceuticals were considered to indicate pre-existing health condition. Bayesian Model Averaging techniques were used to identify the items that were most strongly correlated with recovery cost. Multivariate regression models were used to determine the impact of these items on the cost of injury recovery in terms of compensated ambulance, hospital, medical, and overall claim cost. RESULTS: Out of the 738 study participants, 688 used at least one medical item (total of 15,625 items) and 427 used at least one pharmaceutical item (total of 9846). The total health service cost of recovery was $10,115,714. The results show that while pre-existing conditions did not have any significant impact on the total cost of recovery, categorical costs were affected: e.g. on average, for every anaesthetic in the year before the accident, hospital cost of recovery increased by 24 % [95 % CI: 13, 36 %] and for each pathological test related to established diabetes, hospital cost increased by $10,407 [5466.78, 15346.28]. For medical costs, each anaesthetic led to $258 higher cost [174.16, 341.16] and every prescription of drugs used in diabetes increased the cost by 8 % [5, 11 %]. CONCLUSIONS: Services related to pre-existing conditions, mainly chronic and surgery-related, are likely to increase certain components of cost of recovery after road traffic trauma but pre-existing physical health has little impact on the overall recovery costs.