Telemedicine-based serious illness conversations, healthcare utilization, and end of life care among patients with advanced lung cancer

Author:

Dhawale Tejaswini M12ORCID,Bhat Roopa S3,Johnson P Connor12,Srikonda Shanivi4,Lau-Min Kelsey S12ORCID,Boateng Kofi1,Lee Howard5,Amonoo Hermioni L267,Nipp Ryan8ORCID,Lindvall Charlotta29,El-Jawahri Areej12

Affiliation:

1. Department of Medicine, Division of Hematology and Oncology, Massachusetts General Hospital , Boston, MA , United States

2. Harvard Medical School , Boston, MA , United States

3. University of Colorado School of Medicine , Aurora, CO , United States

4. Harvard University , Boston, MA , United States

5. Division of Hematology &Oncology, University of California San Francisco , San Francisco, CA , United States

6. Department of Psychiatry, Brigham and Women’s Hospital , Boston, MA , United States

7. Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute , Boston, MA , United States

8. Section of Hematology/Oncology, Department of Internal Medicine, University of Oklahoma Health Sciences Center, Stephenson Cancer Center , Oklahoma City, OK , United States

9. Clinical Informatics, Dana Farber Cancer Institute , Boston, MA , United States

Abstract

Abstract Purpose Little is known about serious illness conversations (SIC) conducted during telemedicine visits and their impact on end-of-life (EOL) outcomes for patients with advanced cancer. Patients and Methods We conducted a retrospective analysis telemedicine visits for patients with metastatic lung cancer conducted during the first surge of the COVID-19 pandemic (October 3, 2020-October 6, 2020). We used natural language processing (NLP) to characterize documentation of SIC domains (ie, goals of care [GOC], limitation of life-sustaining treatment [LLST], prognostic awareness [PA], palliative care [PC], and hospice). We used unadjusted logistic regression to evaluate factors associated with SIC documentation and the relationship between SIC documentation and EOL outcomes. Results The study included 634 telemedicine visits across 360 patients. Documentation of at least one SIC domain was present in 188 (29.7%) visits with GOC and PA being the most discussed domains. Family presence (odds ratio [OR], 1.66; P = .004), progressive or newly diagnosed disease (OR, 5.42; P < .000), age ≥ 70 (OR, 1.80; P = .009), and male sex (OR, 2.23; P < .000) were associated with a greater likelihood of discussing ≥ 1 SIC domain. Of the 61 patients who died within 12 months of the study period, having ≥ 1 SIC domain discussed was associated with a lower likelihood of hospitalization in the last 30 days of life (OR, 0.27; P = .020). Conclusion In this study of telehealth visits, we identified important factors associated with an increased likelihood of having documentation of an SIC and demonstrated that SIC documentation correlated with lower likelihood of hospitalization at EOL.

Publisher

Oxford University Press (OUP)

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