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The Connecticut Veterans Affairs Healthcare System (CT-VAHCS) sought to improve the timeliness of lung cancer care by filling the new position of cancer care coordinator with an advanced practice nurse (APN) functioning as a nurse navigator. The multifaceted nature of diagnosing lung cancer and the barriers encountered by patients and families as they access the complex healthcare system contributed to substantial delays in diagnosing and treating this disease. Beginning in January 2007 when the cancer care coordinator was hired, she recorded data regarding timeliness and stage at diagnosis for all patients diagnosed with non-small cell lung cancer. CT-VAHCS created and modified several processes to improve timeliness and quality of cancer care as soon as a patient's imaging suggested a new diagnosis of malignancy. The cancer care coordinator effected a measurable improvement in timeliness. In 2003, the average was 136 days from suspicion of cancer to treatment compared to 55 days in 2010, with a trend toward diagnosis of non-small cell lung cancer at an earlier stage. Oncology-certified APNs in the position of cancer care coordinator can engage multiple disciplines to generate process changes and improve timeliness of lung cancer care.

There are limited data on the impact of mental health comorbidities (MHC) on stage at diagnosis and timeliness of cancer care. Axis I MHC affect approximately 30% of Veterans receiving care within the Veterans Affairs (VA) system. The purpose of this study was to compare stage at diagnosis and timeliness of care of solid tumor malignancies among Veterans with and without MHC. We performed a retrospective analysis of 408 charts of Veterans with colorectal, urothelial, and head/neck cancer diagnosed and treated at VA Connecticut Health Care System (VACHS) between 2008 and 2011. We collected demographic data, stage at diagnosis, medical and mental health co-morbidities, treatments received, key time intervals, and number of appointments missed. The study was powered to assess for stage migration of 15–20% from Stage I/II to Stage III/IV. There was no significant change in stage distribution for patients with and without MHC in the entire study group (p = 0.9442) and in each individual tumor type. There were no significant differences in the time intervals from onset of symptoms to initiation of treatment between patients with and without MHC (p = 0.1135, 0.2042 and 0.2352, respectively). We conclude that at VACHS, stage at diagnosis for patients with colorectal, urothelial and head and neck cancers did not differ significantly between patients with and without MHC. Patients with MHC did not experience significant delays in care. Our study indicates that in a medical system in which mental health is integrated into routine care, patients with Axis I MHC do not experience delays in cancer care.

INTRODUCTION Electronic consultations (e-consults) may be a valuable tool in the current era of increased demand for hematologists. Despite the increasing use of e-consults in hematology, their optimal utilization and impact on patient outcomes and workload are largely unknown. METHODS In this retrospective cohort study, we studied the hematology consult experience at Veterans Affairs Connecticut from 2006 to 2018. We included 7,664 hematology consults (3,240 e-consults and 4,424 face-to-face [FTF] consults) requested by 1,089 unique clinicians. RESULTS We found that e-consults were rapidly adopted and used equally among physicians of different degrees of experience. The number of FTF consults did not decrease after the introduction of e-consult services. E-consults were preferentially used for milder laboratory abnormalities that had been less likely to result in a consult before their availability. Referring clinicians used e-consults preferentially for periprocedural management, anemia, leukopenia, and anticoagulation questions. Eighty-three percent of e-consults were resolved without needing an FTF visit in the year after the consult. Consults for pancytopenia, gammopathy, leukocytosis, and for patients with known malignancy were less likely to be resolved by e-consult. Among patients who were diagnosed with a new hematologic malignancy after their consult, having an e-consult before an FTF visit did not adversely affect survival. CONCLUSION In summary, e-consults safely expanded delivery of hematology services in our health care system but increased total consult volume. We report novel data on what types of consults may be best suited to the electronic modality, the impact of e-consults on workload, and their optimal use and implementation.

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