Title |
Author/Year |
Setting |
Intervention |
Design |
Goal |
Sample Size/Racial Characteristics |
Results |
Conclusion |
Limits |
Breast cancer screening in underserved women in the Bronx |
Frelix et al[32](1999) |
Mobile van unit and hospital-based mammographic x-ray unit with follow-up provided at urban medical center |
Navigator characteristics: bilingual, bicultural Intervention: coordinated follow-up for abnormal screening |
Comparative, historic control of newly diagnosed breast cancer cases vs cases found with intervention Power analysis not reported |
Increased follow-up visits from abnormal radiographic screening |
N = 1,935 (100%) White = 782 (40.4%) Black = 404 (20.9%) Hispanic = 654 (33.8%) |
12.9 New cases/1,000 screened vs 6 new cases/1,000 (New York State) and 5.1 new cases/1,000 (nationally) Statistical significance not reported |
Community outreach and patient navigation resulted in increased numbers of breast cancer cases diagnosed as compared with state and national incidence |
No control group |
Abnormal mammogram follow up: a pilot study in women with low income |
Ell et al[33](2002) |
Large public and private urban screening, diagnostic and treatment-referral centers for low-income women in Los Angeles and New York City |
Navigator characteristics: Team of peer counselor and master's degree–prepared social workers Intervention: tailored health education, counseling, and system navigation provided |
Comparative intervention; those enrolled in study vs those not enrolled or those not located or refused study Power analysis not reported |
Reduce barriers to breast cancer care and increase adherence to diagnostic follow-up and initiation of treatment |
N = 605 Hispanic = 427 (71%) Black = 109 (18%) Other = 68 (11%) |
Comparison of enrolled subjects to nonenrollees and subjects lost to follow-up 93% vs 72% adherence to diagnostic follow-up Initiation of treatment 90% vs 69% adherence to follow-up from abnormal screen and initiation of cancer treatment, respectively |
Intervention addressing known barriers to cancer diagnosis and treatment initiation was successful for improving adherence to both |
Pilot Nonrandomized controlled design |
Impact of cancer screening program on breast cancer stage at diagnosis in a medically underserved urban community |
Oluwole et al[34](2003) |
Cancer Control Center of Harlem |
Navigator characteristics: not addressed Intervention: patient navigator served as a ''proactive patient representative'' |
Retrospective study of breast cancer patients diagnosed at late stage (stage 3 or 4) before and after patient navigator intervention was implemented Preintervention: 437 women from 1964–1986 registry Postintervention: 305 women from 1995–2000 registry Power analysis not reported |
Increase early detection of breast cancer |
N = 305 African American = 212 (70%) Hispanic = 81 (26%) |
Historical control: 49% late stage (3 and 4) disease at presentation; current cohort: 21% late-stage disease, (P < .001) |
Patient navigators can be used to improve early-stage breast cancer detection |
Nonrandomized design; compared with historical control |
Patient navigation: improving timeliness in the diagnosis of breast abnormalities |
Psooy et al[35](2004) |
Nova Scotia, Canadian Breast Cancer Diagnostic Imaging Center |
Navigator characteristics: healthcare worker and breast cancer survivor Intervention: assisted referring physician with scheduling biopsy for abnormal breast radiology Shared survivor experiences with patient |
Quasi-experimental Compared navigated group to nonnavigated patients Cohort: 536 women in total n = 144 nonnavigated n = 392 navigated Power analysis not reported |
Decrease wait time for biopsy and decrease time between abnormal radiographic screening procedure and core biopsy |
N = 536 Race/ethnicity not described |
Navigated patient mean wait time: for biopsy 14 d Nonnavigated patient mean wait time: 20 d P < .001 |
Patient navigators improved timeliness in diagnosis of breast abnormalities; P < 0.05 |
Nonrandomized design; compared with historical control Clinical significance of 6 days less time for biopsy is not established |
Navigator program for breast cancer trial recruitment and enrollment at a county hospital |
Donnell et al[36](2005) |
Breast Clinic at Parkland Hospital in Dallas |
Navigator characteristics: not addressed Intervention: patient navigator used to identify eligible candidates for clinical trials |
No. of eligible candidates, no. of patients enrolled, and reasons for not enrolling were recorded N = 373, patients were screened Power analysis not reported |
Increase minority and underserved population representation in clinical trials |
N = 373 Black = 45.6% Hispanic = 27.6% White = 20.1% |
11.3% of eligible patients were enrolled in clinical trials after the navigator intervention Statistical significance not reported |
Patient navigators can result in early identification of clinical trial candidates and increase representation of minority and underserved populations in clinical trials |
No comparison group |
The effect of peer counseling on quality of life following diagnosis of breast cancer: an observational study |
Giese-Davis et al[37](2006) |
Santa Cruz, CA |
Navigator characteristics: breast cancer survivors matched to ''sojourner'' or woman with breast cancer; training program described Intervention: 6-month peer-counseling intervention |
Pretest and posttest design N = 29 women with breast cancer navigated Power analysis not reported |
Maintain quality of life in first year following breast cancer diagnosis |
N = 29 White = 86.2% Asian American = 3.4% Mexican American = 3.4% Other Hispanic = 3.4% Other = 3.4% |
PCL-C; P < .001 FACT-B, emotional; P = .003 CES-D, nonsignificant |
Patient navigators can improve quality-of-life outcomes |
Small sample Nonrandomized design |
Patient navigation in breast health services: improving quality of services at a safety net hospital in Chicago |
Allgood et al[38](2007) |
Mount Sinai Hospital in Chicago |
Navigator characteristics: not specified Intervention: patient navigators provide assistance with transportation, referrals, translation, and providing emotional support |
Comparative historic control, comparing loss to follow-up after abnormal breast screenings before and after navigator implementation Power analysis not reported |
Decrease loss to follow-up rate after abnormal breast screening |
|
Preintervention: loss to follow-up rate was 33% Postintervention: rate was 15% (P < .001) Among those returning for additional imaging resulting in mammograms highly suggestive of an abnormality, the loss to follow-up rate was reduced from 50% in 2005 to 0% in 2006. (P < .01) |
The use of a patient navigator in breast health is an effective way to reduce the loss to follow-up following a finding suggestive of breast cancer from screening examination |
No randomized controlled design, navigator characteristics unknown |
Improving follow-up to abnormal breast cancer screening in an urban population |
Battaglia et al[39](2007) |
Urban academic hospital–based diagnostic breast center in Boston |
Navigator characteristics: experience caring for a diverse population and knowledge of local health systems, case manager Intervention: coordinated care for each patient |
Preintervention/postintervention study Preintervention (historic control): N = 314 Postintervention (current cohort): N = 1,018 Power analysis not reported. |
Improve timely follow-up to abnormal screening Timely defined as <120 d from date of initial referral to first visit |
N = 1018 White = 373 Black = 391 (40%) Hispanic = 146 |
Preintervention: 64% had timely follow-up Postintervention: 78% had timely follow-up (P = < .001) Navigated patients had 39% greater odds of timely follow-up |
Patient navigation improved rates of timely diagnostic follow-up for abnormal breast cancer screening |
Nonrandomized design; preintervention/post intervention design |
Patient navigation and case management following an abnormal mammography: a randomized clinical trial |
Ell et al[40](2006) |
Public medical center serving low-income women in Los Angeles |
Navigator characteristics: bilingual, training module is accessible Intervention: The SAFe Model intervention navigator performed telephone-based risk assessment, including health education, referral to MSW for psychosocial counseling |
Randomized controlled trial comparing usual care to intervention N = 204 96 Subjects randomized to intervention and 108 subjects randomized to usual care |
Improve the rate of follow-up through diagnostic resolution within 8 mo by using the Screening Adherence Follow-up program |
N = 204 Predominantly Hispanic |
Navigated patients were more likely to adhere to diagnostic follow-up through resolution than usual-care patients (90% vs 66%); P < .001 and were more likely to adhere than usual care (non participants) P = 0.01. |
Patient navigation and counseling were effective in improving diagnostic resolution follow-up among low-income women with abnormalities found in mammograms |
Power analysis not reported |
Increasing utilization of cancer genetic counseling services using a patient navigator mode |
Rahm et al[41](2007) |
Kaiser Permanente of Colorado and the University of Colorado Hereditary Cancer Clinic |
Navigator characteristics: research assistant without specialized genetic education, trained as patient navigator Intervention: aided by scripts and physician backup, navigator made telephone contact with patients to explain referral, clarify content of counseling session, schedule appointments, and send reminders |
Randomized controlled trial comparing usual care to intervention N = 125 55 Randomized to patient navigator and 70 randomized to usual care No power analysis reported |
Increase utilization of cancer genetic counseling |
N = 125 Race/ethnicity not addressed |
More members in the patient navigator arm attended genetic counseling than in the usual-care arm (44% vs 31%), results were not statistically significant Navigator use decreased time to appointment with the genetics counselor; 83% of the navigated group who made an appointment made it within 3 mo, while 32% of those in UC made it within that time (P = .002) |
Navigators shortened time from referral to appointment for genetic counseling and may increase utilization of services |
3-mo pilot of small sample size with limited power to detect statistical significance |
The effect of patient navigation on time to diagnosis, anxiety, and satisfaction in urban minority women with abnormal mammograms: a randomized controlled trial |
Ferrante et al[42](2007) |
Public urban university hospital in Newark, NJ, that serves a predominantly low-income minority population |
Navigator characteristics: bachelor's degree in a social science or related field, at least 2 y of clinical, social work, or outreach experience and knowledge of the community and existing health resources Intervention: navigator provided the patients with emotional and social support, helped patients make appointments and arrive to scheduled appointments, prepared and on time, facilitated applications for financial assistance, connected patients with resources and support systems, and facilitated interaction and communication with healthcare staff providers |
Randomized controlled trial comparing usual care to intervention N = 105 50 Randomized to usual care and 55 randomized to patient navigator Power analysis not reported |
Improve timeliness to diagnosis, decrease anxiety, and increase satisfaction in urban minority women after an abnormality is seen in mammogram |
N = 105 (100%) Black = 59% Hispanic = 27.6% Other = 13.3% |
Intervention group had shorter diagnostic intervals than women in control group |
Patient navigation is an effective strategy to improve timely diagnostic resolution, significantly decrease anxiety, and increase patient satisfaction among urban minority women with abnormalities found in mammograms |
Excluded a high number of the study population who did not speak English Enrollment rate of 36% of eligible patients participating |
Effects of an outreach and internal navigation program on breast cancer diagnosis in an urban cancer center with a large African American population |
Gabram et al[43](2008) |
Urban healthcare setting: AVON Comprehensive Breast Center at Grady Memorial Hospital in Atlanta, GA |
Navigator characteristics: completed Community Health Advocate and patient navigator training program Intervention: navigators communicated directly with community members to encourage screening, diagnostic procedures, and treatment |
Cross-sectional study examining disease stage at diagnosis during the years of early implementation (2001) and the follow-up (2004) of community outreach and internal navigation programs Power analysis not reported |
Raise breast cancer awareness, increase mammography screening rates, and enhance the process of receiving prevention and treatment services |
N = 487 (100%) African American = 89% White = 5% Hispanic = 2% Other = 4% |
In the interval from 2001 through 2004, the proportion of stage 0 (in situ) breast cancers increased from 12.4% (n = 14) to 25.8% (n = 33; P < .005), and there was a decline in stage IV invasive breast cancers from 16.8% (n = 19) to 9.4% (n = 12; P < .05) |
Outreach initiatives and internal patient navigation appear to have improved stage at diagnosis |
Nonrandomized controlled design No establishment of a causal relation between the community education, outreach initiatives, and the effect on stage migration in this largely African American population. |
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