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Effectiveness of Patient Navigation on Diagnostic Interval, Anxiety, and Satisfaction of Minority Women with Abnormal Mammograms: a Randomized Controlled Trial 1 UMDNJ-New Jersey Medical School 2 UMDNJ-Robert Wood Johnson Medical School 3 Cancer Institute of New Jersey Jeanne Ferrante MD 1, 2, 3, Ping-Hsin Chen PhD 1, Steve Kim MD 1
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Background Delay in breast cancer diagnosis/treatment –Increased tumor size –Advanced disease stage –Poorer survival –Increased anxiety/emotional distress –Most common cause of malpractice lawsuits
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Background Minority women face many potential barriers that hinder timely follow-up of suspicious mammograms Over 200 patient navigator programs in U.S. Only 1 randomized controlled trial published –Mostly foreign born, non-English speaking Latino women –Increased follow-up adherence rates and timely diagnostic resolution after an abnormal mammogram.
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Purpose Determine effectiveness of a patient navigator –Improving timeliness to diagnosis –Decreasing anxiety –Increasing satisfaction
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Design & Setting Randomized controlled trial Urban public academic hospital 454 women with suspicious mammogram (BI-RADS 4 or 5) May 2005 to April 2007
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Patients Exclusion criteria –Women under age 21 (N=8) –Did not speak English (N=154) 292 Eligible patients 105 agreed to participate –Intervention group (N=55) –Control group (N=50)
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Intervention Patient navigator –Emotional and social support –Scheduling and keeping appointments –Applications for charity care –Connect patients with resources –Facilitated communication with health providers
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Patient Navigator B.A. in social relations Previous experience –Youth advocate, habilitation counselor, breast cancer support group volunteer Training –Breast health education –Public speaking skills workshop –Observations with mammography van, radiologists, breast surgeons, oncologists, social workers, financial office –Contacts with other community organizations
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Primary Outcome Measures Diagnostic interval –Time (days) from suspicious mammogram to final pathology report Change in anxiety –Zung Anxiety Self- Assessment Scale Patient satisfaction –Satisfaction with Hospital Care Questionnaire
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Potential confounding Variables Age Usual source of care Race/ethnicitySmoking Marital status Reason for mammogram Education Previous abnormal mammogram Insurance Personal hx of breast CA Employment Family hx of breast CA
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Statistical Analysis Control vs. Intervention group –Demographic and clinical characteristics t-test, chi-square, fisher’s exact test –Diagnostic interval Survival analysis, Kaplan-Meier, log-rank test –Mean anxiety index, change in anxiety t-test –Mean satisfaction score t-test
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Results 105 women enrolled –55 intervention –50 control 1 lost to f/u (control) 1 went elsewhere for f/u (intervention) 1 dropped out after diagnosis (intervention)
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Characteristics No difference between control and intervention groups Mean age 50.1 years (s.d. 11.6) Blacks (59%) and Hispanics (27.6%) Unmarried (67.7%) Uninsured (60%) Unemployed (65.7%) Screening mammogram (41%) No family history of breast cancer (80.8%) No primary care (51.4%)
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Results Benign diagnosis (N=77) Cancer diagnosis (N=26) –15 in intervention –11 in control –p=0.651
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Results p=0.008 140.00120.00100.0080.0060.0040.0020.000.00 Days from mammogram to pathology date 1.0 0.8 0.6 0.4 0.2 0.0 Proportion without diagnosis intervention- censored control-censored intervention control Kaplan Meier Estimate of Diagnostic Interval p=0.001
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Diagnostic Interval P=0.001
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Mean Anxiety Index p=0.35p=<0.001
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Satisfaction
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Conclusion Patient navigation effective –Improving timely diagnostic resolution –Decreasing anxiety levels –Increasing satisfaction
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Limitations Limitations –Generalizability –Excluded non-English speaking women –Low enrollment rate 36% of eligible
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Acknowledgments Susan G. Komen Breast Cancer Foundation North Jersey Affiliate Sharyce Reed, patient navigator
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In press Ferrante JM, Chen P, Kim S. The Effect of Patient Navigation on Time to Diagnosis, Anxiety, and Satisfaction in Urban Minority Women with Abnormal Mammograms: a Randomized Controlled Trial. J Urban Health, 2007
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