• cost analysis;
  • patient navigation;
  • screening colonoscopy;
  • racial disparities;
  • colorectal cancer screening


  1. Top of page
  2. Abstract
  7. Acknowledgements


Patient navigation (PN) is being used increasingly to help patients complete screening colonoscopy (SC) to prevent colorectal cancer. At their large, urban academic medical center with an open-access endoscopy system, the authors previously demonstrated that PN programs produced a colonoscopy completion rate of 78.5% in a cohort of 503 patients (predominantly African Americans and Latinos with public health insurance). Very little is known about the direct costs of implementing PN programs. The objective of the current study was to perform a detailed cost analysis of PN programs at the authors' institution from an institutional perspective.


In 2 randomized controlled trials, average-risk patients who were referred for SC by primary care providers were recruited for PN between May 2008 and May 2010. Patients were randomized to 1 of 4 PN groups. The cost of PN and net income to the institution were determined in a cost analysis.


Among 395 patients who completed colonoscopy, 53.4% underwent SC alone, 30.1% underwent colonoscopy with biopsy, and 16.5% underwent snare polypectomy. Accounting for the average contribution margins of each procedure type, the total revenue was $95,266.00. The total cost of PN was $14,027.30. Net income was $81,238.70. In a model sample of 1000 patients, net incomes for the institutional completion rate (approximately 80%), the historic PN program (approximately 65%), and the national average (approximately 50%) were compared. The current PN program generated additional net incomes of $35,035.50 and $44,956.00, respectively.


PN among minority patients with mostly public health insurance generated additional income to the institution, mainly because of increased colonoscopy completion rates. Cancer 2013. © 2012 American Cancer Society.


  1. Top of page
  2. Abstract
  7. Acknowledgements

Colorectal cancer (CRC) is 1 of the most prevalent, yet preventable, cancers in the United States,1 because screening effectively reduces its incidence and mortality.2-4 Colonoscopy is used increasingly as the primary screening modality in the United States; it has been recommended by the American Cancer Society,1 by other national authorities in cancer prevention,5, 6 and by the New York City Department of Health and Mental Hygiene.7 It is publicized in the media and is used annually by 10 to 12 million individuals.5, 8, 9

CRC screening rates among minorities are lower than those among non-Hispanic whites.10-13 Disparities in screening contribute to disparities in CRC incidence and mortality.14-18 Interventions to increase screening colonoscopy (SC) rates among minority populations have become an important aspect of cancer prevention efforts from systems-based and psychological perspectives. In open-access endoscopy (OAE),19 primary care physicians (PCPs) refer average-risk patients directly for SC, avoiding the inconvenience, delay, and cost of an interim office consult with a gastroenterologist before the procedure, thereby eliminating logistical barriers to SC.7 Patient navigation (PN)20 interventions target logistic, personal, and sociocultural barriers to SC, such as lack of education or low health literacy, language barriers, medical mistrust, fatalism, and fear of the procedure.10, 21-24 A patient navigator is a specially trained individual within the health care setting who helps a patient move through the system to obtain medical care.25

Originally used to increase poor diagnostic follow-up rates among minorities,26-29 PN has expanded to preventive screening,30-33 and our group was among the first in this trend. The structure of navigation programs depends on the needs of the target individuals and populations and the resources of the providers.34 For example, PN can include cultural targeting, which incorporates a discussion of barriers specific to a particular population subgroup.35 Culturally targeted PN interventions have increased health-promoting behaviors in a variety of settings,36-38 have been favored by patients over nontargeted interventions,39 and have resulted in greater retention of knowledge over time than nontargeted interventions.40, 41 Cultural tailoring, which incorporates individualized intervention messages,35, 42 also has been effective at increasing health-promoting behaviors.43-46 Thus, PN programs can be crafted from elements of standard, targeted, and tailored models.

We previously reported31 that implementing PN in the context of OAE at an urban academic hospital that served minority patients increased adherence to SC from 40% to 66.4%, with adherence defined as a patient completing a colonoscopy. Two other studies32, 33 within OAE systems that targeted comparable populations in New York City reported that PN programs increased SC rates. To date, however, little is known about the costs and benefits associated with such programs, prompting some experts to call for an analysis of this issue.47, 48

In 2008, we began new PN programs. A cohort of African Americans received culturally targeted PN as part of a National Cancer Institute-funded randomized controlled trial (RCT) comparing the efficacy of professional navigators (trained health educators) versus community-based peer navigators (lay individuals aged >50 years from East Harlem who had undergone colonoscopy and who we trained to conduct PN). Other patients, predominantly of Latino background, received 1 of 2 types of nontargeted PN in a separate RCT funded by Mount Sinai School of Medicine that compared the efficacy of 2 navigation scripts. Overall, there were 4 types of PN.

Although the primary objective of both RCTs was to determine the effect of PN on SC adherence, a secondary aim was to assess the economic impact of PN from an institutional perspective. We hypothesized that PN would increase hospital net income, because the higher volume of SC would increase hospital revenue. We further hypothesized that the cost of PN would be small compared with the increase in income to the institution. Herein, we report the findings of a cost analysis of our PN programs.


  1. Top of page
  2. Abstract
  7. Acknowledgements

Study Setting and Recruitment

In 2 institutional review board-approved RCTs, primary care patients who were referred for SC by their PCPs were recruited during a scheduled, nonacute visit at Mount Sinai's primary care clinic between May 2008 and May 2010. To avoid confusion, PCPs were educated about eligibility criteria for 1 “colonoscopy and patient navigation study” and ordered SC using an electronic medical record in which criteria for OAE were delineated. PCPs explained the study to potentially eligible patients. Research assistants were stationed in the clinic and worked directly with medical assistants. Interested patients were introduced to research assistants in the waiting room immediately after their physician visit to discuss the study further and to sign informed consent forms if they were interested in receiving navigation services.

Patients aged ≥50 years without active gastrointestinal symptoms, significant comorbidities, or a history of inflammatory bowel disease or CRC were eligible. Patients must not have undergone colonoscopy for at least 5 years or could not be up to date with other forms of CRC screening (eg, fecal occult blood testing, flexible sigmoidoscopy). After recruitment, nurses in the Division of Gastroenterology reviewed referrals by analyzing the electronic medical record to confirm medical eligibility and to evaluate for contraindications to colonoscopy or sedation.

Subsequently, the project coordinator randomized African American participants selected for the National Cancer Institute study to culturally targeted PN by either a professional health educator (Pro-PN) or a community-based peer navigator (Peer-PN). All other participants were assigned to a Pro-PN and were randomized in a separate RCT to receive nontargeted PN with or without discussions about personal barriers.

Intervention Protocols

The overall structure of all 4 interventions was identical. Participants received 3 scripted telephone calls: a scheduling call, a call 2 weeks before the colonoscopy, and a final call 3 days before the procedure. After the first call, written instructions for the bowel preparation and a reminder postcard with the colonoscopy date were mailed. The content of the scripts and the ethnic identity of patient navigators varied, as described below.

For the 2 culturally targeted PN groups (Peer-PN and Pro-PN), all navigators were African American to maintain ethnic concordance. Each call included information about how CRC impacts African Americans. During the scheduling call, patient navigators made SC appointments, asked patients about their concerns, and provided information about the preparation and the procedure. Patient navigators subsequently contacted participants 2 weeks and 3 days before the procedure to remind them of their appointments, confirm receipt of mailed information, review the bowel preparation instructions, assess transportation needs, and provide education and support. Peer-PNs also were able to discuss their own colonoscopy experience.

For the nontargeted PN groups, Pro-PNs were randomly assigned (language concordance was maintained). During the scheduling call, the patient navigators made an SC appointment and provided information about the preparation and the procedure. Two weeks and 3 days before the colonoscopy, patient navigators called to remind patients of their appointments, confirm receipt of mailed information, review bowel preparation instructions, and assess transportation needs. The only difference between the groups was that 1 script also included a discussion about the importance of CRC screening and asked about patients' concerns. The different protocols in navigation, which are not the focus of this report, were designed to assess the efficacy of different formats for PN. Because all of our PN programs have additional elements beyond basic PN and share the key characteristics described above, it was instructive to analyze all of the data together.

Calculation of Costs

Appointment outcomes were categorized based on whether or not participants eventually completed a colonoscopy. Each completed colonoscopy was categorized as SC alone, colonoscopy with biopsy, or colonoscopy with snare polypectomy. The average number of colonoscopy appointments per patient and the average number of minutes spent on navigation for each appointment were calculated for completer and noncompleter groups. Navigators recorded the number of minutes spent on each call in a call log. Calls that were attempted but not completed were assigned a value of 1 minute. Instances of inadequate bowel preparation (defined by the endoscopist) were recorded as additional appointment outcomes.

Direct costs of navigation (both personnel and supplies) were calculated for all randomized participants. Personnel costs included the salaries of the Pro-PNs based on a $50,000.00 per year full-time equivalency salary with benefits or an hourly stipend for the Peer-PNs, including time spent in training. These costs amounted to $26.00 per hour for Pro-PNs and $15.00 per hour for Peer-PNs. Because Pro-PNs were full-time employees with other responsibilities (eg, research assistants in the primary care clinics), only the time spent performing navigation activities was included. Supply costs included printed materials mailed to participants, paper, and postage costs. Other costs funded by the study during the course of the navigation process were categorized as “add-on” costs. For instance, in some cases, the bowel preparation was paid for by the study, some participants required car service to and/or from their colonoscopy appointments, some participants required a Pro-PN escort, and some mailings were sent by express courier. These costs were calculated based on average dollar amounts spent by the study for each add-on cost.

By using data from Mount Sinai's business office, we obtained the contribution margin from each colonoscopy procedure completed by our study participants in 2010. The contribution margin was determined by subtracting the direct cost of each colonoscopy procedure from the revenue generated by that procedure. These included direct patient costs (eg, allocations for nurse and endoscopy assistant staffing, supplies, room time), program costs (eg, funds to support faculty teaching and administrative efforts), and support services (eg, housekeeping, laundry, medical records). All colonoscopies were performed by full-time attending gastroenterologists (without gastroenterology fellow involvement). Professional fees for these procedures were not included in the current cost analysis, because they were collected independently from the institution and thus did not affect institutional revenue. The revenue generated from each procedure was obtained according to each participant's insurance carrier at the time of the procedure. The contribution margins for each SC completed in 2010 were organized according to procedure type and were averaged to obtain average contribution margins (ACM) for SC, colonoscopy with biopsy, and colonoscopy with snare polypectomy.

The net income generated was calculated using an algorithm that accounted for the cost of navigation, the cost of “add-ons,” and the average procedure net income for each type of colonoscopy procedure. This analysis was performed using SPSS 19.0 software (SPSS Inc., Chicago, Ill). To place our results into perspective, we modeled costs and revenues based on incremental colonoscopy completion rates of 80%, 65%, and 50% in 3 samples of 1000 patients that closely approximated our current PN program completion rate, our historic nontargeted PN program completion rate,31 and the national screening colonoscopy adherence rate, respectively. This equates to incremental completion rates of 15% above our historic PN program, and 30% above the national average, respectively. Because we have conducted PN routinely at Mount Sinai since 2003, we were unable to compare our findings with an internal non-navigated control group. Instead, we used data from the 2008 National Health Interview Survey as reported by Klabunde et al.13 Finally, we calculated the percentage effort required for a dedicated patient navigator based on institutional data.


  1. Top of page
  2. Abstract
  7. Acknowledgements

Participant Characteristics

Over a 24-month period, 749 patients were referred to the study by their PCPs (Fig. 1). We successfully enrolled 700 participants (93.5% acceptance rate). Ultimately, 96 participants (13.7%) were not randomized for various reasons; most were deemed medically ineligible for OAE and were referred for further medical evaluation. The remaining 604 participants (86.3%) were randomized to receive PN. Among the randomized participants, 101 (16.7%) were not included in final navigation groups. Of these participants, 85 (14.1%) received some navigation services but did not schedule a colonoscopy because they refused colonoscopy (6.3%), were unreachable (4.0%), were reached once but subsequently were unreachable after multiple attempts (“passive refusers”; 3.6%), or were ineligible because of lack of insurance coverage (0.2%). An additional 15 participants (2.5%) were deemed ineligible because of medical illness. One participant (0.2%) died. The remaining 503 participants (83.3%) all received navigation services and were scheduled for SC. Of these, 342 participants (68%) were women, 233 (46.3%) were African American, 230 (45.7%) were Latino, 380 (75.5%) were ages 50 to 64 years, and 219 (43.5%) had an annual household income of ≤$10,000.00 (Table 1). The majority of participants were insured by Medicaid (52.7%) or Medicare (26.8%), and the remaining 20.5% were covered by private insurance or self-pay. Of the 503 patients in the navigation groups, 395 participants (78.5%) completed colonoscopy, whereas 108 participants (21.5%) did not (noncompleters).

thumbnail image

Figure 1. This is an algorithm of patients in the current patient navigation (PN) studies.

Download figure to PowerPoint

Table 1. Patient Navigation Participant Demographics
DemographicsSample Size (%)
No. of patients503 (100)
 Men161 (32)
 Women342 (68)
 African American233 (46.3)
 Latino230 (45.7)
 Other40 (8)
Age, y 
 ≤64380 (75.5)
 ≥65123 (24.5)
Household income 
 ≤$10,000.00219 (43.5)
 >$10,000.00236 (46.9)
 Medicaid265 (52.7)
 Medicare135 (26.8)
 Private99 (19.7)
 Self-pay4 (0.8)
Final colonoscopy status 
 Complete395 (78.5)
 Incomplete108 (21.5)
Average no. of appointments per patient1.48
Average no. of calls per appointment7.28
Average min per appointment35.45

Navigation Costs

The cost of navigation services for all 4 randomization groups was based on supply costs, training costs, and navigator salaries. The number of minutes spent with each participant was totaled. Among the 503 participants who received PN, 765 colonoscopy appointments were made. Of all appointments scheduled, completers accounted for 559 appointments (73.1%), and noncompleters accounted for 206 appointments (26.9%). The average navigation time was 38 minutes per appointment for completers versus 29 minutes for noncompleters (P < .001). On average, noncompleters missed 4 times more reminder telephone calls than completers (P < .001), thus reducing the overall navigation time spent. The average cost of PN for a patient who completed colonoscopy was $23.90, and it was $20.26 for a patient who did not, as indicated in Table 2. Add-on costs were incurred relatively infrequently, and the averages were $4.93 per completer and $1.14 per noncompleter. The total cost of navigation for a completer was $28.83, and it was $21.40 for a noncompleter. The 395 completers incurred a total of $11,387.85 in navigation and add-on costs, whereas the 108 noncompleters incurred a total of $2311.20. The resulting weighted average cost of navigation per participant in the program (regardless of completion status) was $27.23. Each of the 101 participants who were randomized but did not complete navigation for the reasons listed above was assigned an average cost associated with 5 minutes of navigation ($3.25), resulting in a total cost of $328.25. The total cost of navigation for all randomized participants was $14,027.30.

Table 2. Cost of Patient Navigation
 Cost, $US
ExpenseCompleter, n = 395Noncompleter, n = 108No PN, n = 101
  1. Abbreviations: PN, patient navigation.

Navigation per participant23.9020.263.25
Add-ons per participant4.931.14
Total per participant28.8321.403.25
Total per sample size11,387.852311.20328.25
Grand total, n = 60414,027.30  

Average Contribution Margins From Colonoscopy

All completers underwent colonoscopy. Some also required biopsies or snare polypectomies. Table 3 indicates that 211 completers (53.4%) received SC without biopsy. The ACM for an SC was $335.00, resulting in a total contribution margin of $70,685.00. One or more biopsies were taken from 119 completers (30.1%). At an ACM of $194.00, this resulted in a total contribution margin of $23,086.00. The remaining 65 completers (16.5%) underwent snare polypectomy. The ACM for a colonoscopy with snare polypectomy was $23.00, for a total contribution margin of $1495.00. Equipment costs resulted in a relatively low ACM for snare procedures. The 395 completers accounted for an overall total contribution margin of $95,266.00. After deducting the cost of navigation ($14,027.30 for all randomized participants), the total net income generated by the entire PN program was $81,238.70 for this 2-year period.

Table 3. Net Income from Colonoscopy
Income VariableScreening ColonoscopyColonoscopy with BiopsyColonoscopy with SnareNoncompletersNo PNRow Total
  • Abbreviations: ACM, average contribution margin; PN, patient navigation.

  • a

    PN cost values were taken from Table 2, the row headed “Total per participant.”

Sample Size21111965108101604
ACM. $US335.00194.0023.00
Total contribution margin: ACM × sample size, $US70,685.0023,086.001495.0095,266.00
PN for sample size, $USa−6083.13−3430.77−1873.95−2311.20−328.25−14,027.30
Net income, $US64,601.8719,655.23−378.95−2311.20−328.2581,238.70

Net Income in Perspective

Because PN has become standard practice in Mount Sinai's primary care clinic, we can no longer compare our findings with findings from an internal control group. Therefore, to put the net income received from PN in context, we compared our findings with a similar patient population at our own institution that received PN31 (“historic PN”) but without additional elements (such as cultural targeting). We also compared our findings with the screening rate in the general population, assuming that the vast majority of this group had never received PN.13 Table 4 represents our model of the net costs and income received from 3 samples of 1000 patients receiving navigation services with completion rates of 80%, 65%, and 50% (representing the current study, historic PN, and the national average, respectively). We used a weighted ACM of $241.00 per colonoscopy based on the number of participants in the current study who completed each type of colonoscopy procedure. Navigation cost values for the historic PN group were assumed to be the same as those for the current PN groups. The net incomes were $165,456.00 at the 80% completion level, $130,420.50 at the 65% completion level, and $120,500.00 at the 50% completion level. Thus, our current PN model was $35,035.50 more profitable than our historic PN model and $44,956.00 more profitable than the national average.

Table 4. Incremental Effects of Patient Navigation on Net Income Modeled on a Theoretical Cohort of 1000 Patients
VariablePN: Current StudyHistoric PN: Mount Sinai School of MedicineNational Average: Assumed no PN
  • Abbreviations: ACM, average contribution margin; PN, patient navigation.

  • a

    The weighted ACM was based on the number of participants who completed each type of colonoscopy procedure.

  • b

    PN cost values were taken from Table 2, the row headed “Total per participant.”

Colonoscopy completion rate, %≈80≈65≈50
Theoretical no. completers per 1000800650500
ACM, $USa241.00241.00241.00
Total contribution margin: ACM × no. of completers, $US192,800.00156,650.00120,500.00
PN for completers: $28.83 × no. of completers, $USb−23,064.00−18,739.50
PN for noncompleters: $21.40 × no. of noncompleters, $USb−4280.00−7490.00
Net income,165,456.00130,420.50120,500.00
Additional net income of current PN sample relative to other samples, $US +35,035.50+44,956.00

In trying to determine whether it would be realistic to hire a dedicated navigator, we observed that it would be feasible to hire a dedicated navigator on a part-time basis. By using our institution's data based on a 37.5-hour work week, a $50,000 per year full-time equivalency salary with benefits, an average 51.5 minutes spent per patient (equivalent to 0.858 hours per patient; unpublished results), and a hypothetical volume of 1000 patients per year, we observed that a navigator would only need to be hired at 44% effort (0.44 full-time equivalency; 858 navigation hours per 1950 full-time hours per year) to complete the navigation volume at a cost of $21,999.12 per year (equivalent to $25.64 per hour). With a few thousand dollars of add-ins, the hypothetical cost for the institution could increase to approximately $25,000.00 total. The PN position, at $25,000.00 per year, if implemented in an environment with a 50% screening adherence rate and using an ACM of $241.00 for a colonoscopy (as modeled in Table 4), still would generate a profit of $95,500.00. At an 80% adherence rate, the profit would increase to $167,800.00. The cost of employing a part-time navigator would be more than covered by the increased profit to the institution.


  1. Top of page
  2. Abstract
  7. Acknowledgements

Unlike other cancer screening tests, such as Papanicolaou smears, mammograms, and prostate-specific antigen tests, colonoscopy is a complex, invasive test that is associated with a variety of administrative and personal barriers. PN is an increasingly popular strategy to enhance colonoscopy completion rates. We31 and others32, 33 have demonstrated that colonoscopy rates can increase considerably when a programmatic effort is implemented to make scheduling of procedures (eg, OAE) and patient understanding and adherence to the procedures (eg, PN) available.

Building on our previous work with a single patient navigator, we have been studying whether using peers as navigators and creating a more focused, culturally targeted approach would further enhance SC rates among our predominantly minority patient population. The expansion of our program raised the question, “Is PN a sound financial investment?”

Herein, we report that implementing PN programs at our institution led to an SC adherence rate of 78.5%. The 395 completed colonoscopies brought in a total contribution margin of $95,266.00 over a 2-year period. The resulting net income after deducting $14,027.30 (the cost of PN) was $81,238.70. We conclude, therefore, that, among a predominantly minority population of low socioeconomic status, most of whom were covered by public health insurance, PN programs still generate a profit for the institution. By using models, we also demonstrated that our current PN program compared favorably with our institution's first PN program and with the general population. Finally, we demonstrated that the cost of hiring a part-time dedicated navigator would likely be covered by the increase in profit to the institution.

Our study has several limitations. First, our increase in screening adherence cannot be attributed solely to the PN programs. Data from the National Health Interview Survey demonstrate that SC rates have been increasing over time.13 In New York City, the percentage of adults aged >50 years who have had a colonoscopy in the last 10 years increased from 61.7% in 200749 to 67.5% in 2010.50 In East Harlem (the current study setting), 62.3% of residents were adherent to SC.50 Nevertheless, our completion rate of 78.5% represents a substantial increase in adherence even beyond this upward trend. Second, it is likely that some participants would have completed screening regardless of navigation, but it was not possible to determine the size of that group. Because of this, we calculated costs and profits based on all colonoscopies completed. Third, we analyzed SC adherence from 4 types of PN at our institution as part of 1 data set. We conducted our analyses based on the assumption that any effects of variations between the 4 PN protocols were small and that the cost analysis would not be significantly impacted by these differences. Fourth, because PN has become standard practice at our institution, it was not possible to have a non-navigated control group (for a retrospective review of a vulnerable non-navigated population in an OAE system, see Kazarian et al51). Thus, data from the comparison groups were collected in different years and differed along some demographic parameters. For instance, the general population has a higher percentage of non-Latino whites than our patient population. Because screening rates generally are higher in this group than among minorities,11, 14 the national average may overestimate adherence to SC. Fifth, we made the supposition that PN programs are not widely implemented on a national level. It is possible that they are more common than we assume. Sixth, the current analysis is based on ACMs from SC at an urban academic center in which the majority of patients (79.5%) are covered by public insurance. Therefore, our results may not be generalizable to other settings in which the insurance mix differs. If anything, we would expect the financial balance sheet to be more favorable in environments with more private insurance. Moreover, because our increase in hospital net income was based on improving adherence rates, we would propose that any institution performing SC would likely derive financial benefit from implementing a PN program with a part-time dedicated navigator. Finally, the current analysis is not a cost-effectiveness analysis. It does not take into consideration the costs involved in rescheduling “no-shows” and patients who had inadequate bowel preparations or the costs of pathology. We previously reported that PN substantially reduces the no-show and poor-preparation rates.31 These issues, along with the cost value of the colonoscopy findings and the cost related to professional fees, will be the subject of a future cost-effectiveness analysis.


  1. Top of page
  2. Abstract
  7. Acknowledgements

We thank Jenessa Dieterle, RN, and Lourdes Fontanez, RN, for providing medical clearance of patients in the studies; Jodi Cohen for hospital financial information; and the many attending gastroenterologists who performed the colonoscopies for the studies.


  1. Top of page
  2. Abstract
  7. Acknowledgements

This work was supported by grant R01 CA120658 from the National Cancer Institute, by the Doris Duke Charitable Foundation, and by Mount Sinai School of Medicine.


The authors made no disclosures.


  1. Top of page
  2. Abstract
  7. Acknowledgements
  • 1
    Levin B, Lieberman DA, Mcfarland B, et al. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. Gastroenterology. 2008; 134: 1570-1595.
  • 2
    Winawer SJ, Zauber AG, Ho MN, et al. Prevention of colorectal cancer by colonoscopic polypectomy. The National Polyp Study Workgroup. N Engl J Med. 1993; 329: 1977-1983.
  • 3
    Vogelaar I, van Ballegooijen M, Schrag D, et al. How much can current interventions reduce colorectal cancer mortality in the United States? Mortality projections for scenarios of risk-factor modification, screening, and treatment. Cancer. 2006; 107: 1624-1633.
  • 4
    Baxter NN, Goldwasser MA, Paszat LF, Saskin R, Urbach DR, Rabeneck L. Association of colonoscopy and death from colorectal cancer. Ann Intern Med. 2009; 150: 1-8.
  • 5
    Calonge N, Petitti DB, Dewitt TG, et al. Screening for colorectal cancer: US Preventive Services Task Force recommendation statement. Ann Intern Med. 2008; 149: 627-637.
  • 6
    American College of Gastroenterology. Your golden years deserve the gold standard of colon cancer screening. Available at: Accessed December 27, 2011.
  • 7
    The New York City Department of Health and Mental Hygiene and New York Citywide Colon Cancer Control Coalition. A practical guide to increasing screening colonoscopy: proven methods for health care facilities to prevent colorectal cancer deaths. New York: Cancer Prevention and Control Program, Bureau of Chronic Disease Prevention and Control; 2006. Available at: Accessed December 19, 2011.
  • 8
    Katz ML, Sheridan S, Pignone M, et al. Prostate and colon cancer screening messages in popular magazines. J Gen Intern Med. 2004; 199: 843-848.
  • 9
    Allen JI. Maximizing the value of colonoscopy in community practice. Gastrointest Endosc Clin North Am. 2010; 20: 771-781.
  • 10
    Lawsin C, DuHamel K, Weiss A, Rakowski W, Jandorf L. Colorectal cancer screening among low-income African Americans in East Harlem: a theoretical approach to understanding barriers and promoters to screening. J Urban Health. 2007; 84: 32-44.
  • 11
    Doubeni CA, Laiyemo AO, Reed G, Field TS, Fletchers RH. Socioeconomic and racial patterns of colorectal cancer screening among Medicare enrollees in 2000 to 2005. Cancer Epidemiol Biomarkers Prev. 2009; 18: 2170-2175.
  • 12
    American Cancer Society. Cancer Facts & Figures 2011. Atlanta, GA: American Cancer Society; 2011. Available at: figures-2011. Accessed October 17, 2011.
  • 13
    Klabunde C, Cronin KA, Breen N, Waldron WR, Ambs AH, Nadel M. Trends in colorectal cancer test use among vulnerable populations in the United States. Cancer Epidemiol Biomarkers Prev. 2011; 20: 1611-1621.
  • 14
    American Cancer Society. Colorectal Cancer Facts & Figures 2011–2013. Atlanta, GA: American Cancer Society; 2011. Available at:–2013-page. Accessed October 17, 2011.
  • 15
    Ries LAG, Melbert D, Krapcho M, et al. eds. SEER Cancer Statistics Review, 1975–2005. Bethesda, MD: National Cancer Institute; 2008. Available at: Accessed October 17, 2011.
  • 16
    Centers for Disease Control and Prevention. Colorectal cancer rates by race and ethnicity, 2010. Available at: Accessed December 19, 2011.
  • 17
    Senturia YD, McNiff MK, Baker D, et al. Successful techniques for retention of study participants in an inner-city population. Control Clin Trials. 1998; 19: 544-554.
  • 18
    Rim SH, Seeff L, Ahmed F, King JB, Coughlin SS. Colorectal cancer incidence in the United States, 1999–2004. Cancer. 2009; 115: 1967-1976.
  • 19
    Pike IM. Open-access endoscopy. Gastrointest Endosc Clin North Am. 2006; 16: 709-717.
  • 20
    Dohan D, Schrag D. Using navigators to improve care of underserved patients: current practices and approaches. Cancer. 2005; 104: 848-855.
  • 21
    Freeman HP, Chu KC. Determinants of cancer disparities: barriers to cancer screening, diagnosis, and treatment. Surg Oncol Clin North Am. 2005; 14: 655-669.
  • 22
    Christie J, Jandorf L, Itzkowitz S, et al. Sociodemographic correlates of stage of adoption for colorectal cancer screening in African Americans. Ethn Dis. 2008; 19: 323-329.
  • 23
    Natale-Pereira A, Marks J, Vega M, Mouzon D, Hudson S, Salas-Lopez D. Barriers and facilitators for colorectal cancer screening practices in the Latino community: perspectives from community leaders. Cancer Control. 2008; 15: 157-165.
  • 24
    Varela A, Jandorf L, DuHamel K. Understanding factors related to colorectal cancer (CRC) screening among urban Hispanics: use of focus group methodology. J Cancer Educ. 2010; 25: 70-75.
  • 25
    Freeman HP, Muth BJ, Kerner JF. Expanding access to cancer screening and clinical follow-up among the medically underserved. Cancer Pract. 1995; 3: 19-30.
  • 26
    Freeman HP, Rodriguez RL. History and principles of patient navigation. Cancer. 2011; 117(15 suppl): 3539-3542.
  • 27
    Psooy BJ, Schreuer D, Borgaonkar J, Caines JS. Patient navigation: improving timeliness in the diagnosis of breast abnormalities. Can Assoc Radiol J. 2004; 55: 145-150.
  • 28
    Battaglia TA, Roloff K, Posner MA, Freund KA. Improving follow-up to abnormal breast cancer screening in an urban population: a patient navigation intervention. Cancer. 2007; 109(2 suppl): 359-367.
  • 29
    Maxwell AE, Jo AM, Crespi CM, Sudan M, Bastani R. Peer navigation improves diagnostic follow-up after breast cancer screening among Korean American women: results of a randomized trial. Cancer Causes Control. 2010; 21: 1931-1940.
  • 30
    Phillips CE, Battaglia TA, Sherman BJ, Ash A, Rothstein JD, Freund KM. Patient navigation to increase mammography screening among inner city women. J Gen Intern Med. 2011; 26: 123-129.
  • 31
    Chen LA, Santos S, Jandorf L, et al. A program to enhance completion of screening colonoscopy among urban minorities. Clin Gastroenterol Hepatol. 2008; 6: 443-450.
  • 32
    Nash D, Azeez S, Vlahov D, Schori M. Evaluation of an intervention to increase screening colonoscopy in an urban public hospital setting. J Urban Health. 2006; 83: 231-243.
  • 33
    Lebwohl B, Neugut AI, Stavsky E, et al. Effect of a patient navigator program on the volume and quality of colonoscopy [serial online]. J Clin Gastroenterol. 2011; 45: e47-e53.
  • 34
    Esparza A, Calhoun E. Measuring the impact and potential of patient navigation: proposed common metrics and beyond. Cancer. 2011; 117(15 suppl): 3535-3536.
  • 35
    Kreuter MW, Lukwago SN, Bucholtz DC, Clark EM, Sanders-Thompson VL. Achieving cultural appropriateness in health promotion programs: targeted and tailored approaches. Health Educ Behav. 2003; 30: 133-146.
  • 36
    Fang CY, Ma GX, Tan Y, Chi NJ. A multifaceted intervention to increase cervical cancer screening among underserved Korean women. Cancer Epidemiol Biomarkers Prev. 2007; 16: 1298-1302.
  • 37
    Han HR, Lee H, Kim MT, Kim KB. Tailored lay health worker intervention improves breast cancer screening outcomes in non-adherent Korean-American women. Health Educ Res. 2009; 24: 318-329.
  • 38
    Garza MA, Luan J, Blinka M, et al. A culturally targeted intervention to promote breast cancer screening among low-income women in East Baltimore, Maryland Cancer Control. 2005; 12(suppl 2): 34-41.
  • 39
    Herek GM, Gillis JR, Glunt EK, Lewis J, Welton D, Capitanio JP. Culturally sensitive AIDS educational videos for African American audiences: effects of source, message, receiver, and context. Am J Commun Psychol. 1998; 26: 705-743.
  • 40
    Stevenson HC, Davis G. Impact of culturally sensitive AIDS video education on the AIDS risk knowledge of African-American adolescents. AIDS Educ Prev. 1994; 6: 40-52.
  • 41
    Morgan PD, Fogel J, Tyler ID, Jones JR. Culturally targeted educational intervention to increase colorectal health awareness among African Americans. J Health Care Poor Underserved. 2010; 21(3 suppl): 132-147.
  • 42
    Ryan GL, Skinner CS, Farrell D, Champion VL. Examining the boundaries of tailoring: the utility of tailoring versus targeting mammography interventions for 2 distinct populations. Health Educ Res. 2001; 16: 555-566.
  • 43
    Kreuter MW, Sugg-Skinner C, Holt CL, et al. Cultural tailoring for mammography and fruit and vegetable intake among low-income African-American women in urban public health centers. Prev Med. 2005; 41: 53-62.
  • 44
    Allen B, Bazargan-Hejazi S. Evaluating a tailored intervention to increase screening mammography in an urban area. J Natl Med Assoc. 2005; 97: 1350-1360.
  • 45
    Percac-Lima S, Grant RW, Green AR, et al. A culturally tailored navigator program for colorectal cancer screening in a community health center: a randomized, controlled trial. J Gen Intern Med. 2008; 24: 211-217.
  • 46
    Kalichman SC, Kelly JA, Hunter TL, Murphy DA, Tyler R. Culturally tailored HIV-AIDS risk-reduction messages targeted to African-American urban women: impact on risk sensitization and risk reduction. J Consult Clin Psychol. 1993; 61: 291-295.
  • 47
    Pignone M, Lewis C. Improving colorectal cancer screening in 2011: comment on “Patient outreach to promote colorectal cancer screening among patients with an expired order for colonoscopy.” Arch Intern Med. 2011; 171: 647-648.
  • 48
    Holt CL, Schroy PC III. A new paradigm for increasing use of open-access screening colonoscopy. Clin Gastroenterol Hepatol. 2008; 6: 377-378.
  • 49
    Summers C, Cohen L, Havusha A, Sliger F, Farley T. Take Care New York 2012: a policy for a healthier New York City. New York: New York City Department of Health and Mental Hygiene; 2009. Available at: Accessed December 19, 2011.
  • 50
    New York City Department of Health and Mental Hygiene. Community health survey 2010: colon cancer (timely colonoscopy). Available at: none&strat2=none&qtype=univar&var=cotest2&crude=no. Accessed April 17, 2012.
  • 51
    Kazarian ES, Carreira FS, Toribara NW, Denberg TD. Colonoscopy completion in a large safety net health care system. Clin Gastroenterol Hepatol. 2008; 6: 438-442.