Moderate to severe distress in half of ovarian cancer patients undergoing treatment highlights a need for more proactive symptom and psychosocial management.

OBJECTIVE: Distress screening and management is a recommended component of oncology care. Our objective was to evaluate distress rate, sources, and compliance with psychosocial follow-up among ovarian cancer patients receiving chemotherapy. METHODS: We reviewed patient distress surveys completed by ovarian cancer patients receiving chemotherapy from 10/2017-6/2019. Lay or nurse navigators conducted screening with the NCCN Distress Thermometer from 0 (none) to 10 (highest distress). A distress score ≥ 4 (moderate/severe) was considered a positive screen. A recommendation for psychosocial follow-up was automatically generated in the treatment care plan based upon a yes response to any depression-related concern, independent of distress score. Documentation of referral to a mental health professional or social worker for counseling was considered compliant with psychosocial follow-up. We performed descriptive statistics and bivariate analyses. RESULTS: 97/211 (46%) ovarian cancer patients screened positive for distress. Average score was 6.1 for those who screened positive and 3.3 for the entire cohort (range 0-10). Unmarried status (p < 0.01) was associated with positive screen, whereas non-white race (p = 0.26) and recurrent disease (p = 0.21) were not. Median age was older for patients with a positive distress screen (p < 0.01). Among screened patients, the most frequent sources of distress were: cognitive/physical (87%), psychosocial (62%), practical (84%), and family concerns (40%). Of 50 patients recommended to have psychosocial referral, 4 (8%) patients had documented psychiatric follow-up and 19 (38%) patients had documented psychosocial counseling by a social worker. CONCLUSIONS: Nearly half of ovarian cancer patients screened positive for moderate/severe distress. Cancer/treatment-related cognitive/physical symptoms were the most frequent sources. Improved methods of symptom monitoring and management during treatment and resources to address psychosocial concerns are needed to improve distress management of ovarian cancer patients.

Building Sustainable Practice Transformation Through Payment Reform Initiatives.

PURPOSE: Novel value-based payment approaches provide an opportunity to deploy and sustain health care delivery interventions, such as treatment planning documentation. However, limited data are available on implementation costs. METHODS: We described key factors affecting the cost of implementing care improvements under value-based payments, using treatment planning and Medicare's Oncology Care Model as examples. We estimated expected costs of implementing treatment plans for years 1 and 2-6 under (1) different staffing models, (2) use of technology, and (3) differences in the patients engaged. We compared costs to the payment amounts under the Oncology Care Model. RESULTS: Team-based models where staffing is aligned with skills needed for key tasks (eg, a combination of lay navigator, nurse, and physician) are more financially feasible when compared with using physicians or nurses alone. When existing staff are at or near capacity, hiring new staff focused on practice transformation activities allows adequate time for new initiatives without negative impacts on existing services. Investments in information technology can enhance staff productivity, but initial costs may be high. Interventions may not be financially feasible if implemented for a small patient volume or only for patients insured by a particular payer. Finally, costs may be higher for disadvantaged populations, and equity in care delivery may require higher payments from payers. CONCLUSION: Estimating the cost of implementing an intervention in different types of practice settings with various types of patients is essential to ensure that a value-based payment system will adequately support desired improvements in quality of care for all patients.

The Impact of Depression on Health Care Utilization in Patients with Cancer.

Background: Depression is common in the oncology patient population. Little data exist on the impact of depression on health care utilization. Objectives: We evaluated the prevalence of depression and the relationship between depression and health care utilization in patients with cancer. Design: This cross-sectional study utilized patient-reported outcome data from predominately Medicare beneficiaries with cancer. We examined the emergency department visits and inpatient admissions within 3 months from survey. The relationship between depression and hospital visits was assessed using generalized linear models. Results: Of 1038 patients included in the study, 13% had moderate to severe depression. In adjusted models, patients with moderate or severe depression trended toward increased risk of hospitalizations compared with patients without depression (risk ratio: 1.25, 95% confidence interval: 0.97-1.62). Conclusions: Clinically significant depression is not uncommon in cancer patients. Further research is needed evaluating the relationship between depression, health care utilization, and early psychiatric intervention in oncology.