Virtual Library

Start Your Search

D. Blayney



Author of

  • +

    P1.24 - Poster Session 1 - Clinical Care (ID 146)

    • Event: WCLC 2013
    • Type: Poster Session
    • Track: Supportive Care
    • Presentations: 1
    • +

      P1.24-008 - Are patients' needs being met after-hours? An evaluation of phone calls made after hours for patients with thoracic malignancies. (ID 873)

      09:30 - 09:30  |  Author(s): D. Blayney

      • Abstract

      Background
      Understanding phone calls that patients with lung cancer make after hours is important as it represents an opportunity to provide improved care for patients and their caregivers. Furthermore, better understanding of after- hours phone calls can help to influence ways to reduce healthcare spending. Therefore, we sought to evaluate the nature of after-hours calls initiated by patients and their caregivers to the thoracic oncology clinic from the hours of 5pm-8am and on weekends.

      Methods
      The study is a retrospective analysis of 4 months of outpatient phone calls made to the Stanford Cancer Institute during the weekends and hours of 5pm until 8am on weekdays. On-call after-hours physicians documented who made the call, chief complaint, age, gender and the advice given. Phone calls were excluded from analysis if there was missing information regarding reason for call or advice given. Differences in proportions were analyzed by Fisher's exact test. A two-sided p value <0.05 was considered significant.

      Results
      There were a total of 271 phone calls made after hours by patients with lung cancer, however after exclusions, there were 215 phone calls for analysis. The majority of phone calls occurred between the hours of 5pm and 11pm (n = 157; 73%) followed by daytime calls made during the weekend (n = 37; 17%). A majority of the phone calls were made by the patient (50%) with a slightly lower proportion made by a family member (46%). The majority of the patients who called were in their 50’s (29%) and female (54%). A high proportion of patients called for more than one chief complaint (30%) although almost all patients complained of more than one symptom on review of systems (95%). The main symptoms patients called for were cough (28%) followed by shortness of breath (27%). Of the phone calls made, 62% (133) were referred to the emergency room. Of those patients referred to the emergency department, 77% (103/133) resulted in a hospital admission.

      Conclusion
      Most after-hours phone calls from patients with lung cancer are related to symptoms. A large proportion of patients who were referred to the emergency department subsequently required an admission. Future studies should evaluate whether there are ways to improve patient triage after hours and improve symptom control to prevent hospitalizations for these patient populations.

  • +

    P3.24 - Poster Session 3 - Supportive Care (ID 160)

    • Event: WCLC 2013
    • Type: Poster Session
    • Track: Supportive Care
    • Presentations: 1
    • +

      P3.24-049 - Palliative Care and Anti-Cancer Care Integration: Description of three models of care delivery at a tertiary medical center (ID 3182)

      09:30 - 09:30  |  Author(s): D. Blayney

      • Abstract

      Background
      The American Society of Clinical Oncology issued a Provisional Clinical Opinion on the integration of palliative care (PC) with anti-cancer care which states, “Based upon strong evidence from a phase III RCT, patients with metastatic non-small-cell lung cancer should be offered concurrent palliative care and standard oncologic care at time of initial diagnosis.” There is both a national shortage of PC providers, as well as a lack of guidelines on the best operational ways to integrate PC into oncologic care. Here we describe different models of palliative care integration into anti-cancer care models performed at the Stanford Cancer Institute.

      Methods
      Three methods of PC integration into oncology care at Stanford Hospital and Clinics, a tertiary medical center, are being tested. These include a low resource model using a social work (SW) only intervention for advance care planning and goals of care, as well as two high resource models using an MD, advance nurse practitioner, and social worker. The first high resource model is concurrent care with joint PC and oncology visits, and the second is a traditional model of separate PC and oncology visits. Observations around successes and barriers within these various models, as well as resources needed, will be described. Data evaluated include volume, referral patterns, advance care planning, symptom assessment, and resource utilization.

      Results
      The SW only intervention was run as a pilot in thoracic oncology. Resources required for appropriate implementation included information technology (IT) for appropriate cohort identification, operations support, data management support, and team cooperation from the physician and nursing team. Process outcomes measured included % of patients seen by SW within 3 visits, documentation of advance care planning within the medical record, and co-signature of advance care planning documentation by the physician. The joint visit model utilized a high resource team (physician, nurse practitioner, and social worker) which was present concurrently with the oncology visit for advance care planning and symptom management. In addition to the resources required for the SW only intervention, this model also included a care coordinator for visit coordination. Process outcomes measured included lead time to arrange for the joint visit and documentation of advance care planning. End outcomes included discharge to hospice, hospital utilization patterns, and effective symptom management. Other outcomes included volume and number of referring providers. Our third model was a traditional clinic visit with the PC team only, not coordinated with the oncology team. Resources and outcomes were the same as for the joint visit model. A total of 529 consults were seen in the first year. 61% were seen in a traditional clinic model and 39% were seen in the concurrent model. Volume of consults have increased over time. There were 10 consults per month in January of 2012. Currently over 100 consults are seen per month.

      Conclusion
      Appropriate integration of PC into oncology care for thoracic oncology patients is still under investigation. Here we describe the strengths and weaknesses of three separate models of integration of PC with oncology care at an academic medical center.