Development of a novel cancer diagnostic center to facilitate care coordination for patients with new or suspected diagnoses of cancer.

81 Background: Navigating a cancer diagnosis is a multifaceted challenge, characterized by intricate care coordination that creates potential for workup and treatment delays, lapses in care, and potentially negatively affecting clinical outcomes. We have developed a novel physician and advanced practitioner-led cancer diagnostic program (CDP) to help navigate patients with a suspected cancer through the diagnostic and staging workup, discussion of results, and linkage to oncologic care. Patients are referred to the CDP, an administrative intake coordinator creates a medical chart, verifies insurance, gathers records, and schedules appointments. An intake nurse reaches out within 24 hours to obtain clinical information and review of systems. Patients are offered an in-person or video visit with the advanced practitioner for history and physical, labs, and further coordination of testing. Here, we aim to describe the demographic and clinical patterns of referral and clinical outcomes of patients who were referred to a CDP over one calendar year. Methods: We retrospectively analyzed 154 patients with a new cancer diagnosis to have at least 1 encounter at the Johns Hopkins CDP between January 1, 2022, and December 31, 2022. Data were retrospectively collected from medical records and stored within Johns Hopkins REDCap. Descriptive analyses were used to describe the data. Results: Among the 154 total patients included in this analysis, 65.6% were White, 24.7% were Black, 3.2% were Asian, and 1.9% were of Hispanic, Latino, or Spanish origin. Insurance coverage was most frequently (46.8%), Medicare (40.3%), and Medicaid (8.4%). Referral distribution shows 50 inpatient and 104 outpatient referrals. Primary cancer diagnoses were most often gastrointestinal (39.6%), upper airway and lung (26.6%), and genitourinary (9.1%). Conclusions: The Johns Hopkins CDP exemplifies the potential for dedicated diagnostic and treatment initiation programs to improve oncologic care, particularly for vulnerable populations. The center facilitates expedited diagnostic resolution, to increased ease of workup for patients and providers, and potentially improve clinical outcomes such as linkage to care and time to treatment. Accepting referrals from inpatient and outpatient settings captures a broad patient pool, including those who may otherwise experience lapses in care owing to complex care navigation needs. In conclusion, we describe a novel care delivery model to potentially optimize healthcare delivery in oncologic care. Inpatient Referral Outpatient Referral Percent minority populations 34% 23.1% Stage 4 at diagnosis 74% 52.9% Patients initiating treatment with curative intent 42.3% 30% Median length of hospitalization 7 days N/A Median time from pathology results to discharge -2.5 days N/A Median time from pathology results to treatment initiation 20 days 16.5 days

Authors

Institutions

Publication Details

Journal
JCO Oncology Practice
Published
2024-09-30
DOI
https://doi.org/10.1200/op.2024.20.10_suppl.81
Primary Topic
BRCA gene mutations in cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a novel cancer diagnostic center to facilitate care coordination for patients with new or suspected diagnoses of cancer.

Kumar Balasubramaniyan, Jacob Murphy, Matthew Guo, Josephine Feliciano et al.
JCO Oncology Practice
BRCA gene mutations in cancer
article

Development of a novel cancer diagnostic center to facilitate care coordination for patients with new or suspected diagnoses of cancer.

Kumar Balasubramaniyan, Jacob Murphy, Matthew Guo, Josephine Feliciano, Xinyi Zhang, Zheyu Wang, Kristen Reeb, Mitchell Parma
article en

Abstract

81 Background: Navigating a cancer diagnosis is a multifaceted challenge, characterized by intricate care coordination that creates potential for workup and treatment delays, lapses in care, and potentially negatively affecting clinical outcomes. We have developed a novel physician and advanced practitioner-led cancer diagnostic program (CDP) to help navigate patients with a suspected cancer through the diagnostic and staging workup, discussion of results, and linkage to oncologic care. Patients are referred to the CDP, an administrative intake coordinator creates a medical chart, verifies insurance, gathers records, and schedules appointments. An intake nurse reaches out within 24 hours to obtain clinical information and review of systems. Patients are offered an in-person or video visit with the advanced practitioner for history and physical, labs, and further coordination of testing. Here, we aim to describe the demographic and clinical patterns of referral and clinical outcomes of patients who were referred to a CDP over one calendar year. Methods: We retrospectively analyzed 154 patients with a new cancer diagnosis to have at least 1 encounter at the Johns Hopkins CDP between January 1, 2022, and December 31, 2022. Data were retrospectively collected from medical records and stored within Johns Hopkins REDCap. Descriptive analyses were used to describe the data. Results: Among the 154 total patients included in this analysis, 65.6% were White, 24.7% were Black, 3.2% were Asian, and 1.9% were of Hispanic, Latino, or Spanish origin. Insurance coverage was most frequently (46.8%), Medicare (40.3%), and Medicaid (8.4%). Referral distribution shows 50 inpatient and 104 outpatient referrals. Primary cancer diagnoses were most often gastrointestinal (39.6%), upper airway and lung (26.6%), and genitourinary (9.1%). Conclusions: The Johns Hopkins CDP exemplifies the potential for dedicated diagnostic and treatment initiation programs to improve oncologic care, particularly for vulnerable populations. The center facilitates expedited diagnostic resolution, to increased ease of workup for patients and providers, and potentially improve clinical outcomes such as linkage to care and time to treatment. Accepting referrals from inpatient and outpatient settings captures a broad patient pool, including those who may otherwise experience lapses in care owing to complex care navigation needs. In conclusion, we describe a novel care delivery model to potentially optimize healthcare delivery in oncologic care. Inpatient Referral Outpatient Referral Percent minority populations 34% 23.1% Stage 4 at diagnosis 74% 52.9% Patients initiating treatment with curative intent 42.3% 30% Median length of hospitalization 7 days N/A Median time from pathology results to discharge -2.5 days N/A Median time from pathology results to treatment initiation 20 days 16.5 days

JCO Oncology PracticeVol. 20(10_suppl)
Johns Hopkins University (US), Johns Hopkins Medicine (US), Johns Hopkins Bayview Medical Center (US), Johns Hopkins Hospital (US)
Openalex Percentile: Top 81%
BRCA gene mutations in cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.