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Rivera Rivera JN, AuBuchon KE, Schubel LC, Starling C, Tran J, Locke M, Grady M, Mete M, Blumenthal HJ, Galarraga JE, Arem H. Supporting ColoREctal Equitable Navigation (SCREEN): a protocol for a stepped-wedge cluster randomized trial for patient navigation in primary care. Implement Sci Commun 2024; 5:60. [PMID: 38831365 PMCID: PMC11149321 DOI: 10.1186/s43058-024-00598-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 05/27/2024] [Indexed: 06/05/2024] Open
Abstract
BACKGROUND Black individuals in the United States (US) have a higher incidence of and mortality from colorectal cancer (CRC) compared to other racial groups, and CRC is the second leading cause of death among Hispanic/Latino populations in the US. Patient navigation is an evidence-based approach to narrow inequities in cancer screening among Black and Hispanic/Latino patients. Despite this, limited healthcare systems have implemented patient navigation for screening at scale. METHODS We are conducting a stepped-wedge cluster randomized trial of 15 primary care clinics with six steps of six-month duration to scale a patient navigation program to improve screening rates among Black and Hispanic/Latino patients. After six months of baseline data collection with no intervention we will randomize clinics, whereby three clinics will join the intervention arm every six months until all clinics cross over to intervention. During the intervention roll out we will conduct training and education for clinics, change infrastructure in the electronic health record, create stakeholder relationships, assess readiness, and deliver iterative feedback. Framed by the Practical, Robust Implementation Sustainment Model (PRISM) we will focus on effectiveness, reach, provider adoption, and implementation. We will document adaptations to both the patient navigation intervention and to implementation strategies. To address health equity, we will engage multilevel stakeholder voices through interviews and a community advisory board to plan, deliver, adapt, measure, and disseminate study progress. Provider-level feedback will include updates on disparities in screening orders and completions. DISCUSSION Primary care clinics are poised to close disparity gaps in CRC screening completion but may lack an understanding of the magnitude of these gaps and how to address them. We aim to understand how to tailor a patient navigation program for CRC screening to patients and providers across diverse clinics with wide variation in baseline screening rates, payor mix, proximity to specialty care, and patient volume. Findings from this study will inform other primary care practices and health systems on effective and sustainable strategies to deliver patient navigation for CRC screening among racial and ethnic minorities. TRIAL REGISTRATION NCT06401174.
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Affiliation(s)
- Jessica N Rivera Rivera
- Healthcare Delivery Research Network, MedStar Health Research Institute, Washington, DC, USA
| | - Katarina E AuBuchon
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Laura C Schubel
- Healthcare Delivery Research Network, MedStar Health Research Institute, Washington, DC, USA
| | - Claire Starling
- Healthcare Delivery Research Network, MedStar Health Research Institute, Washington, DC, USA
| | - Jennifer Tran
- Department of Medicine, MedStar Washington Hospital Center, Washington, DC, USA
| | - Marjorie Locke
- Department of Surgery, MedStar Washington Hospital Center, Washington, DC, USA
| | - Melanie Grady
- MedStar Health Institute for Quality and Safety, Washington, DC, USA
| | - Mihriye Mete
- Department of Behavioral Health Research, MedStar Health Research Institute, Washington, DC, USA
- Department of Psychiatry, Georgetown University School of Medicine, Washington, DC, USA
| | - H Joseph Blumenthal
- Center for Biostatistics, Informatics and Data Science, MedStar Health Research Institute, Washington, DC, USA
| | | | - Hannah Arem
- Healthcare Delivery Research Network, MedStar Health Research Institute, Washington, DC, USA.
- Department of Oncology, Georgetown University, Washington, DC, USA.
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Yakusheva O, Lee KA, Keller A, Weiss ME. Racial and Ethnic Disparities in Home Health Referral Among Adult Medicare Patients. Med Care 2024; 62:21-29. [PMID: 38060342 DOI: 10.1097/mlr.0000000000001945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
BACKGROUND Home health care (HHC) services following hospital discharge provide essential continuity of care to mitigate risks of posthospitalization adverse outcomes and readmissions, yet patients from racial and ethnic minority groups are less likely to receive HHC visits. OBJECTIVE To examine how the association of nurse assessments of patients' readiness for discharge with referral to HHC services at the time of hospital discharge differs by race and ethnic minority group. RESEARCH DESIGN Secondary data analysis from a multisite study of the implementation of discharge readiness assessments in 31 US hospitals (READI Randomized Clinical Trial: 09/15/2014-03/31/2017), using linear and logistic models adjusted for patient demographic/clinical characteristics and hospital fixed effects. SUBJECTS All Medicare patients in the study's intervention arm (n=14,684). MEASURES Patient's race/ethnicity and discharge disposition code for referral to HHC (vs. home) from electronic health records. Patient's Readiness for Hospital Discharge Scale (RHDS) score (0-10 scale) assessed by the discharging nurse on the day of discharge. RESULTS Adjusted RHDS scores were similar for non-Hispanic White (8.21; 95% CI: 8.18-8.24), non-Hispanic Black (8.20; 95% CI: 8.12-8.28), Hispanic (7.92; 95% CI: 7.81-8.02), and other race/ethnicity patients (8.09; 95% CI: 8.01-8.17). Non-Hispanic Black patients with low RHDS scores (6 or less) were less likely than non-Hispanic White patients to be discharged with an HHC referral (Black: 26.8%, 95% CI: 23.3-30.3; White: 32.6%, 95% CI: 31.1-34.1). CONCLUSIONS Despite similar RHDS scores, Black patients were less likely to be discharged with HHC. A better understanding of root causes is needed to address systemic structural injustice in health care settings.
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Affiliation(s)
- Olga Yakusheva
- Department of Systems, Populations, and Leadership, University of Michigan School of Nursing, Ann Arbor, MI
- Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, MI
| | - Kathryn A Lee
- Department of Systems, Populations, and Leadership, University of Michigan School of Nursing, Ann Arbor, MI
| | - Abiola Keller
- Marquette University College of Nursing, Milwaukee, WI
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