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BMC Public Health

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Colorectal cancer screening, perceived discrimination, and low-income and trust in doctors: a survey of minority patients

  • Wendi Born1,
  • Kimberly Engelman2, 3Email author,
  • K Allen Greiner3, 4,
  • Shelley B Bhattacharya4,
  • Sandra Hall2,
  • Qingjiang Hou5 and
  • Jasjit S Ahluwalia6
BMC Public Health20099:363

https://doi.org/10.1186/1471-2458-9-363

Received: 10 December 2008

Accepted: 25 September 2009

Published: 25 September 2009

Abstract

Background

Completion of colorectal cancer (CRC) screening testing is lower among low-income and minority groups than the population as a whole. Given the multiple cancer screening health disparities known to exist within the U.S., this study investigated the relationship between perceived discrimination, trust in most doctors, and completion of Fecal Occult Blood Testing (FOBT) among a low-income, minority primary care population in an urban setting.

Methods

We recruited a convenience sample of adults over age 40 (n = 282) from a federally qualified community health center (70% African American). Participants completed a survey which included measures of trust in most doctors, perceived discrimination, demographics and report of cancer screening.

Results

Participants reported high levels of trust in most doctors, regardless of sex, race, education or income. High trust was associated with low perceived discrimination (p < 0.01). The trend was for older participants to express more trust (p = 0.09) and less perceived discrimination (p < 0.01). Neither trust nor discrimination was associated with race or education. Trust was higher among participants over 50 who were up-to-date on FOBT screening vs. those who were not (31 vs. 29 (median), p < 0.05 by T-test). Among those over 50, up-to-date FOBT screening was nearly associated with high trust (p < 0.06; 95% CI 0.99, 1.28) and low perceived discrimination (p < 0.01; 95% CI 0.76, 0.96). Nevertheless, in multivariate-modeling, age and income explained FOBT completion better than race, trust and discrimination.

Conclusion

Perceived discrimination was related to income, but not race, suggesting that discrimination is not unique to minorities, but common to those in poverty. Since trust in most doctors trended toward being related to age, FOBT screening could be negatively influenced by low trust and perceived discrimination in health care settings. A failure to address these issues in middle-aged, low income individuals could exacerbate future disparities in CRC screening.

Background

Cancer screening services require some degree of patient compliance with clinical recommendations. With colorectal cancer (CRC) screening, patients voluntarily consent to a specific procedure and complete bowel preparation or home-based testing procedures in order to complete the test. A patient's ability to follow through on these details (i.e., fecal occult blood test (FOBT) screening), may be influenced by the degree to which patients trust medical professionals in general, and physicians specifically, to act in their best interests. Some researchers propose that the level of trust patients place in the medical profession has profound effects on care seeking and completion of preventive, diagnostic, treatment or behavioral recommendations.[1, 2]

Trust in the medical profession has received relatively little study in relation to cancer control and screening behaviors amongst the underserved. A general definition of trust typically includes a willingness to place oneself in a position of weakness, exposure, or vulnerability relative to another.[1] Trust in the medical system is a multi-layered process. It involves elements of general system trust, such as faith in medical education and emergency response systems, specific system trust, such as faith in a particular hospital or health plan, general interpersonal trust, such as faith in the goodwill and competence of persons who become health care providers, and specific interpersonal trust, such as faith in the good will and competence of a specific physician.

Researchers investigating trust have, for the most part, focused their efforts on the specific interpersonal trust that individual patients have in the physicians who provide their care. [37] Several validated trust surveys have been used in prior research studies such as the 11-item scale adapted from Anderson and Dedrick and validated by Thom et al. asking questions such as "I doubt that my provider really cares about me as a person" and "My provider is usually considerate of my needs and puts them first"[3] Another example is the five-item Wake Forest University Trust Scale used to assess general provider trust issues. The items are: "The doctors at 'this clinic' will do whatever it takes to get patients all the care they need;" "The doctors at 'this clinic' are extremely thorough and careful;" "The medical skills of the doctors here are not as good as they should be;" "You have no worries about putting your life in the hands of the doctors at 'this clinic;" "All in all, you trust the doctors at 'this clinic' completely." A five point scale 1-5 is used, with a higher score indicating a higher level of trust.[7] Some researchers have examined general trust at the level of systems or institutions, including insurance and health care plans,[8] hospitals,[9] and the medical profession in general.[1, 10, 11] Still other trust researchers have approached the issue from the perspective of patient populations who may perceive themselves to be vulnerable, such as minority patients, [1218] minority research subjects,[13, 19] people who are HIV positive [20] or those at the end of life.[21] If trust does influence health care provision and patient behavior with relation to provider recommendations, it would be more likely to affect preventive care,[22] because illness or pain, unlike most preventive care, might motivate care seeking despite lack of trust.

In a prior study of perceptions of end-of-life care in African American and Latino middle-aged adults, we found what appeared to be a deep lack of confidence in the integrity of physicians and of the health care system in general.[23] Many of the issues raised by participants in this prior study related to conflicts between acting in the best interest of the patient vs. acting to maximize profits. Based on this experience, we incorporated a measure of Trust in Most Doctors (Trust MDs) in a survey we administered to a low-income minority primary care population. Our goal was to evaluate the relationship between Trust MDs and completion of cancer screening. We were also interested in the relationship between reported trust and certain demographic variables such as age, race, income, education and the experience of discrimination.

Methods

Study Design

This study was conducted as part of a larger, prospective study assessing completion of colorectal cancer screening in a convenience sample of low-income patients recruited from a large community health center. The survey portion of the study consisted of a 45-minute survey assessing demographics, access to health care, attitudes about health care and specific questions related to cancer and cancer screening.

Participants

Participants were recruited from the waiting areas of an urban, federally qualified community health center that serves both insured and uninsured patients. Research Assistants approached prospective participants in the waiting areas of the health center, including those for the pharmacy, adult medicine, eye clinic, outreach, information, and the general waiting room of the facility. Participants were adults age 40 years and older who were without acute illness or apparent cognitive deficit.

Procedures

Research Assistants approached prospective participants in the waiting areas of the health center, asked if they were 40 years of age or older, and then described the study as a 45 minute survey about health care and cancer after which they would receive a $10 retail gift card. Research Assistants then consented and verbally surveyed interested participants in a private room. Full-page cue cards were used for questions that had more than three response options or for questions that benefited from visual cues, such as anchored Likert scales.

The survey instrument included 129 items and took approximately 45 minutes to complete. The first 99 survey items assessed demographic information, access to healthcare, perceived discrimination, cancer fatalism, trust in health care providers, diet, physical activity, smoking, breast or prostate cancer screening, and knowledge of colon cancer screening tests and guidelines. Additional items assessed prior receipt of, preferences for, and barriers to FOBT and endoscopic screening. The Human Subjects Committee from the University of Kansas Medical Center approved the study prior to commencement of the project.

Analyses

We reviewed literature relevant to trust in the medical system to find items conceptually related to focus group data.[23, 24] Our survey questions were modified from the identified existing measures. Questions were designed to measure trust in the areas of physician honesty, commitment to patient welfare, professional competence, confidentiality of medical information, and research integrity to determine the relationship between self-report of trust and self-report of important preventive health behaviors, such as cancer screening. We modified items to target opinions about "most physicians". The resulting scale of Trust in Most Doctors (Trust in MDs) included eight items (alpha = 0.85). One item was written by the research team, the others were adapted from items developed by Kao et. al. (5 items),[5, 25] Corbie-Smith et. al. (1 item),[26] and Safran et. al. (1 item),[6] Items were chosen to assess trust in most physicians' ability to provide the following elements of quality care: commitment to the welfare of the patient (2 items; e.g., "Most doctors will try to help someone who is sick, even if the person has no way to pay for the care".), the technical competence to protect that welfare (2 items; e.g., "Most doctors can be trusted to refer patients to a specialist when needed".), honesty (1 item; "Most doctors can be trusted to give patients information on all medical options and not just options that are covered by the health plan".), respect for patient confidentiality (1 item; "Most doctors can be trusted to keep personally sensitive information private".), research integrity (1 item; "Most doctors would not ask a patient to participate in medical research if they thought it might harm the patient".), and global quality of care (1 item; "Most doctors can be trusted to offer high-quality medical care".). Responses to these items were given on a four-point Likert scale (Agree; Somewhat Agree; Somewhat Disagree; Disagree). Responses for items were summed to create a composite score reflecting trust in most doctors. Trust scores could range from 4 (low trust) to 32 (high trust).

The experience of discrimination was assessed using a brief, four-item version of David Williams' Perceived Discrimination scale. The full, nine-item scale has been extensively validated. [2729] Because the distributions of Trust in MDs and Perceived Discrimination were highly skewed, we split scores at the median and compared those who were relatively low on each variable to those who were relatively high.

The survey included ten demographic questions taken from the 2001 Behavioral Risk Factor Surveillance System (BRFSS) survey which assessed age, sex, race, income, education, and employment;.[30] nine questions taken from the 2002 Medical Expenditures Panel Survey.[31] and the 2002 BRFSS.[32] which addressed general health and access to care questions; and a series of questions about cancer screening. Up-to-date screening for colon cancer was defined as the report of FOBT within the last two years.

Data Management

Surveys were double entered and exported from Microsoft Access into SAS version 8. When data were reconciled, range and logistic checks were performed to ensure the accuracy of the database.

Data Analysis

We calculated means and frequencies for all study variables. We used Spearman rank-order correlation to determine how demographic, attitudinal, and preventive behavior variables related to each other and to make decisions about further modeling. We conducted multivariate analysis (including all variables correlated at a p < 0.20) to determine the items associated with self-report of FOBT completion among the sample.

Results

Participants included 293 adults 40 years of age or older, equally divided between males and females (Table 1). Of our sample, 53% were age 40-49 with the remaining 47% aged 50 or older. The majority of participants (69%) reported being African American, 71% had incomes less than $1200 per month, and 44% reported being without insurance or Medicaid coverage. Of the 300 surveys initiated, seven were excluded: three were incomplete; two were duplicates; and two were not members of the target population. Due to missing values, 282 participants with complete data were used for analyses.
Table 1

Participant Demographics (N = 282)

 

Category

Age < 50

(N = 149)

n (%)

Age ≥50

(N = 133)

n(%)

Gender

Female

74 (49.6%)

72 (54.1%)

Race/Ethnicity

African American

111 (74.5%)

85 (63.9%)

 

Hispanic

3 (2.1%)

3 (2.3%)

 

Asian

0 (0%)

2 (1.5%)

 

Native Hawaiian of Pacific Islander

1 (0.7%)

0 (0%)

 

American Indian or Alaska native

3 (2.1%)

2 (1.5%)

 

White

26 (17.5%)

36 (27.1%)

 

Other

4 (2.7%)

2 (1.5%)

 

Refused or Don't Know

1 (0.7%)

3 (2.3%)

Annual Income

<40K

110 (73.8%)

95 (71.4%)

 

> = 40K

39 (26.2%)

38 (28.6%)

Insurance

Yes

80 (51.9%)

82 (60.3%)

Marital Status

Married

19 (13.0%)

24 (18.1%)

 

Divorced

38 (25.5%)

56 (42.1%)

 

Widowed

9 (6.0%)

13 (9.8%)

 

Separated

24 (16.1%)

17 (12.8%)

 

Never Married

44 (29.5%)

18 (13.5%)

 

Living with significant other or partner

15 (10.1%)

5 (3.8%)

Education

Grades (0-11)

38 (25.5%)

41 (30.8%)

 

Less Than High School

67 (45.0%)

37 (27.8%)

 

GED or High School

28 (18.8%)

30 (22.6%)

 

College 1~3 years

9 (6.0%)

13 (9.8%)

 

College Graduate (4-year degree)

4 (2.7%)

9 (6.8%)

 

Graduate Degree

3 (2.0%)

3 (2.3%)

Among participants who were 50 years of age or older (n = 136), trust in MDs was generally high (mean = 27.60; median = 29, STD = 5.14, range = 8, 32). Trust in MDs was higher for those completing FOBT (n = 23, mean = 29.47; median = 31, STD = 3.95, range = 16, 32) compared to those who did not complete FOBT (n = 113, mean = 27.22; median = 29, STD = 5.29, range = 8, 32) (Figure 1.)
Figure 1

Trust Scores and Fecal Occult Blood Testing Status among Participants ≥50 Years of Age.

Of the 282 participants, trust in MDs also was generally high (mean = 26.96; median = 29, STD = 5.28, range = 8, 32), resulting in a ceiling effect for trust scores. As in the 50 year old and older subsample, trust in MDs was higher for those who completed FOBT (n = 27, mean = 28.56; median = 31, STD = 5.27, range = 14, 32) compared to those who did not complete FOBT (n = 255, mean = 26.79, median = 29, STD = 5.27, range = 8, 32). Perceived discrimination was similarly distributed, with most people reporting low levels of discrimination (mean = 7.27; median = 7, STD = 5.61, range = 0, 20).

Trust in MDs was negatively associated with perceived discrimination (r = -.25, p < 0.01) and trended toward being positively associated with age (r = .10, p = 0.09). Perceived discrimination was negatively associated with both age (r = -.24, p < 0.01) and income (r = -.21, p < 0.01). For participants aged 50 and older, neither trust nor discrimination was associated with race (African American vs. Caucasian, 29 vs.28 (median) with p = 0.9 and 6 vs.7 (median) with p = 0.2 by T-test) or years of education (p = 0.09 and 0.47 by spearman correlation analysis). Participants 50 years of age or older who were up-to-date on FOBT screening trended toward being more trusting of physicians (Figure 1). In a logistic regression with participants aged 50 and older, up-to-date FOBT screening was not quite associated with higher trust (OR = 1.13, p = 0.06, 95% confidence interval 0.99, 1.28), but was associated with lower perceived discrimination (OR = 0.86, p < 0.01, 95% confidence interval 0.76, 0.96). Despite the reduced range, age remained associated with both trust (r = .39, n = 133, p < 0.01) and perceived discrimination (r = -.30, n = 133, p < 0.01).

Multivariable logistic regression showed age and income to be related to reported FOBT adherence among those age 50 years old or greater (Table 2).
Table 2

Multivariate logistic regression for effect on probability of up-to-date FOBT among Participants ≥50 Years of Age

  

Standard

Wald

Parameter

DF

Estimate

Error

Chi-Square

Pr > ChiSq

Intercept

1

-7.8199

2.0945

13.9395

0.0002

MDs

1

0.0617

0.0669

0.8520

0.3560

Age

1

0.0631

0.0288

4.7938

0.0286

Income

1

0.0237

0.0137

2.9822

0.0842

Discussion and Conclusion

In this study, trust in most doctors reliably co-varied with perceived discrimination but not with race/ethnicity. This suggests that lack of trust in doctors was associated with the experience of being treated unfairly or inconsiderately, but not linked perceptually with race/ethnicity. The relationship between income and perceived discrimination found in this study is important because of the drastically reduced range of incomes represented in this sample. The vast majority of participants fell below federally designated poverty levels. All study findings that relate to income in this sample are likely to be more robust and easily detected in samples with a wider range of incomes.

The results of this study suggest the relationship between trust and reduced completion of preventive screening is not direct. The relationships between trust, perceived discrimination and adherence to different preventive behaviors may be quite complex, and may be influenced by variables such as income and access to care more than race. Although there is debate about whether or not trust in our system of health care can best be improved by encouraging change at the patient, provider, system, societal, social policy, or governmental level, [3336] there is consensus that improving trust would benefit the health of the public, especially those populations that have particularly low trust in health care. Trust in MDs may play a completely different role in preventive adherence in populations for whom perceived discrimination is minimal. Further longitudinal investigation could explore more directly the likely link between trust in MDs with willingness to follow physician recommendations for preventive screening and demographic variables. Longitudinal studies could also address the relationship between trust, discrimination, and age to determine whether Trust in MDs is a function of an age cohort (or of historical events), or whether it changes gradually over time as people have increasing experiences with the medical system and health problems.

This study had several limitations. The sample size was small, over age 40, and drawn from a single source, resulting in a restricted range of participant ethnicity, willingness to seek care, and age. Sample selection bias, being from a busy outpatient clinic, likely contributed to the high level of trust observed, and the skewed distribution of participant income. In addition, although our survey included questions from validated surveys, our specific trust scale was not evaluated in terms of its measurement properties. Future studies should draw participants randomly, from all income levels, and racial/ethnic backgrounds, with no association to provision of health care. Doing so would allow for meaningful comparisons of trust in MDs, perceived discrimination, and FOBT completion. In a larger, more diverse sample, effects of age, income, and education will be more easily detected, and relationship of these socio-demographic variables to trust and discrimination could be explored. A study of how trust develops over time, beginning in early adulthood, and the relationship between trust and adherence to preventive care would also help guide future preventive interventions.

Colorectal cancer screening may be fundamentally different from other types of cancer screening, with differentiating barriers and facilitators.[24, 37] CRC screening recommendations from physicians are relatively unlikely to be adhered to, especially among the underserved.[38] Unlike many screenings, FOBT requires more patient cooperation than just showing up for, or even preparing for an appointment that has already been set. It is common for clinicians to simply order, schedule, or perform mammograms or pap smears. In contrast, FOBT kits must be completed by the patient, yet are often handed out with only written instructions, little discussion and no follow-up for non-return. Lieberman et al. described the need of a FOBT "program" to maximize its success. The program consisted of proper performance of the test, adherence and follow-up of positive and negative results. Ultimately, the last element of this program was to provide proper cancer care for detected cancers.[39] Thus, FOBT requires significant, unprompted behavioral initiation and follow-through on the part of the patient. Moreover, there is little to reinforce FOBT completion: there is no person-to-person interaction, no medical technology, no prompts, and often, no feedback if results are negative. This system creates a number of opportunities for the necessary patient behavior to be disrupted, diminishes the perceptual importance of the results, and gives the impression that the health care providers are not especially concerned with adherence.

These difficulties for FOBT screening leave the door open for trust in physicians and perceived discrimination to play a larger role in CRC screening completion relative to other types of screening. Affordability and ease of use make FOBT screening the most readily available form of CRC screening among the underserved. This study provides initial evidence to suggest that perceived discrimination and trust are related to FOBT completion, although all three may be a function of poverty. Despite the role of poverty, it is possible that the decreased perceptions of discrimination, or increased trust in physicians could counteract some of the negative correlates of reduced access to care. Because the constructs of trust and perceived discrimination overlap both theoretically and statistically, it is possible that efforts to address one, could have effects on the other. Interventions to increase FOBT screening rates and reduce disparities in CRC mortality among the underserved would do well to consider factors that likely contribute to both trust in doctors and the perception of discrimination, such as income, rather than focus narrowly on race.

Declarations

Authors’ Affiliations

(1)
Psychology Department, Baker University
(2)
Department of Preventive Medicine and Public Health, University of Kansas Medical Center
(3)
University of Kansas Cancer Center
(4)
Department of Family Medicine, University of Kansas Medical Center
(5)
Biostatistics Department, University of Kansas Medical Center
(6)
Center for Health Equity, University of Minnesota Medical School

References

  1. Hall MA, Dugan E, Zheng B, Mishra AK: Trust in physicians and medical institutions: what is it, can it be measured, and does it matter?. Milbank Q. 2001, 79 (4): 613-639. 10.1111/1468-0009.00223.View ArticlePubMedPubMed CentralGoogle Scholar
  2. Berry LL, Parish JT, Janakiraman R, Ogburn-Russell L, Couchman GR, Rayburn WL, Grisel J: Patients' commitment to their primary physician and why it matters. Ann Fam Med. 2008, 6 (1): 6-13. 10.1370/afm.757.View ArticlePubMedPubMed CentralGoogle Scholar
  3. Krupat E, Bell RA, Kravitz RL, Thom D, Azari R: When physicians and patients think alike: patient-centered beliefs and their impact on satisfaction and trust. J Fam Pract. 2001, 50 (12): 1057-1062.PubMedGoogle Scholar
  4. Hall MA, Zheng B, Dugan E, Camacho F, Kidd KE, Mishra A, Balkrishnan R: Measuring patients' trust in their primary care providers. Med Care Res Rev. 2002, 59 (3): 293-318. 10.1177/1077558702059003004.View ArticlePubMedGoogle Scholar
  5. Kao AC, Green DC, Davis NA, Koplan JP, Cleary PD: Patients' trust in their physicians: effects of choice, continuity, and payment method. J Gen Intern Med. 1998, 13 (10): 681-686. 10.1046/j.1525-1497.1998.00204.x.View ArticlePubMedPubMed CentralGoogle Scholar
  6. Safran DG, Kosinski M, Tarlov AR, Rogers WH, Taira DH, Lieberman N, Ware JE: The Primary Care Assessment Survey: tests of data quality and measurement performance. Med Care. 1998, 36 (5): 728-739. 10.1097/00005650-199805000-00012.View ArticlePubMedGoogle Scholar
  7. Thom DH, Ribisl KM, Stewart AL, Luke DA: Further validation and reliability testing of the Trust in Physician Scale. The Stanford Trust Study Physicians. Med Care. 1999, 37 (5): 510-517. 10.1097/00005650-199905000-00010.View ArticlePubMedGoogle Scholar
  8. Zheng B, Hall MA, Dugan E, Kidd KE, Levine D: Development of a scale to measure patients' trust in health insurers. Health Serv Res. 2002, 37 (1): 187-202.PubMedGoogle Scholar
  9. LaVeist TA, Nickerson KJ, Bowie JV: Attitudes about racism, medical mistrust, and satisfaction with care among African American and white cardiac patients. Med Care Res Rev. 2000, 57 (Suppl 1): 146-161.View ArticlePubMedGoogle Scholar
  10. Hall MA, Camacho F, Dugan E, Balkrishnan R: Trust in the medical profession: conceptual and measurement issues. Health Serv Res. 2002, 37 (5): 1419-1439. 10.1111/1475-6773.01070.View ArticlePubMedPubMed CentralGoogle Scholar
  11. Reed MC, Trude S: Who do you trust? Americans' perspectives on health care, 1997-2001. Track Rep. 2002, 1-4. 3Google Scholar
  12. Boulware LE, Cooper LA, Ratner LE, LaVeist TA, Powe NR: Race and trust in the health care system. Public Health Rep. 2003, 118 (4): 358-365.View ArticlePubMedPubMed CentralGoogle Scholar
  13. Corbie-Smith G, Thomas SB, St George DM: Distrust, race, and research. Arch Intern Med. 2002, 162 (21): 2458-2463. 10.1001/archinte.162.21.2458.View ArticlePubMedGoogle Scholar
  14. Corbie-Smith G, Ammerman AS, Katz ML, St George DM, Blumenthal C, Washington C, Weathers B, Keyserling TC, Switzer B: Trust, Benefit, Satisfaction, and Burden. J Gen Intern Med. 2003, 18 (7): 531-541. 10.1046/j.1525-1497.2003.21061.x.View ArticlePubMedPubMed CentralGoogle Scholar
  15. Gamble VN: A legacy of distrust: African Americans and medical research. Am J Prev Med. 1993, 9 (6 Suppl): 35-38.PubMedGoogle Scholar
  16. King WD: Examining African Americans' mistrust of the health care system: expanding the research question. Commentary on "Race and trust in the health care system". Public Health Rep. 2003, 118 (4): 366-367.View ArticlePubMedPubMed CentralGoogle Scholar
  17. Krakauer EL, Truog RD: Mistrust, racism, and end-of-life treatment. Hastings Cent Rep. 1997, 27 (3): 23-10.2307/3528663. discussion 23-25View ArticlePubMedGoogle Scholar
  18. Doescher MP, Saver BG, Franks P, Fiscella K: Racial and ethnic disparities in perceptions of physician style and trust. Arch Fam Med. 2000, 9 (10): 1156-1163. 10.1001/archfami.9.10.1156.View ArticlePubMedGoogle Scholar
  19. Corbie-Smith G, Thomas SB, Williams MV, Moody-Ayers S: Attitudes and beliefs of African Americans toward participation in medical research. J Gen Intern Med. 1999, 14 (9): 537-546. 10.1046/j.1525-1497.1999.07048.x.View ArticlePubMedPubMed CentralGoogle Scholar
  20. Carr GS: Negotiating trust: a grounded theory study of interpersonal relationships between persons living with HIV/AIDS and their primary health care providers. J Assoc Nurses AIDS Care. 2001, 12 (2): 35-43. 10.1016/S1055-3290(06)60132-5.View ArticlePubMedGoogle Scholar
  21. McKinley ED, Garrett JM, Evans AT, Danis M: Differences in end-of-life decision making among black and white ambulatory cancer patients. J Gen Intern Med. 1996, 11 (11): 651-656. 10.1007/BF02600155.View ArticlePubMedGoogle Scholar
  22. O'Malley AS, Sheppard VB, Schwartz M, Mandelblatt J: The role of trust in use of preventive services among low-income African-American women. Prev Med. 2004, 38 (6): 777-785. 10.1016/j.ypmed.2004.01.018.View ArticlePubMedGoogle Scholar
  23. Born W, Greiner KA, Sylvia E, Butler J, Ahluwalia JS: Knowledge, attitudes, and beliefs about end-of-life care among inner-city African Americans and Latinos. J Palliat Med. 2004, 7 (2): 247-256. 10.1089/109662104773709369.View ArticlePubMedGoogle Scholar
  24. Greiner KA, Born W, Nollen N, Ahluwalia JS: Knowledge and perceptions of colorectal cancer screening among urban African Americans. J Gen Intern Med. 2005, 20 (11): 977-983. 10.1007/s11606-005-0244-8.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Kao AC, Green DC, Zaslavsky AM, Koplan JP, Cleary PD: The relationship between method of physician payment and patient trust. Jama. 1998, 280 (19): 1708-1714. 10.1001/jama.280.19.1708.View ArticlePubMedGoogle Scholar
  26. Corbie-Smith G, Thomas SB, Williams MV, Moody-Ayers S: Attitudes and beliefs of African Americans toward participation in medical research. J Gen Intern Med. 1999, 14: 537-546. 10.1046/j.1525-1497.1999.07048.x.View ArticlePubMedPubMed CentralGoogle Scholar
  27. Williams DR: Race/ethnicity and socioeconomic status: measurement and methodological issues. Int J Health Serv. 1996, 26 (3): 483-505. 10.2190/U9QT-7B7Y-HQ15-JT14.View ArticlePubMedGoogle Scholar
  28. Kessler RC, Mickelson KD, Williams DR: The prevalence, distribution, and mental health correlates of perceived discrimination in the United States. J Health Soc Behav. 1999, 40 (3): 208-230. 10.2307/2676349.View ArticlePubMedGoogle Scholar
  29. Wyatt SB, Williams DR, Calvin R, Henderson FC, Walker ER, Winters K: Racism and cardiovascular disease in African Americans. Am J Med Sci. 2003, 325 (6): 315-331. 10.1097/00000441-200306000-00003.View ArticlePubMedGoogle Scholar
  30. Centers for Disease Control and Prevention (CDC): Behavioral Risk Factor Surveillance System Survey Questionnaire. 2001, Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and PreventionGoogle Scholar
  31. Medical Expenditure Panel Survey. [http://www.meps.ahrq.gov/mepsweb/]
  32. Centers for Disease Control and Prevention (CDC): Behavioral Risk Factor Surveillance System Survey Questionnaire. 2002, Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and PreventionGoogle Scholar
  33. Dula A: African American suspicion of the healthcare system is justified: what do we do about it?. Camb Q Healthc Ethics. 1994, 3 (3): 347-357. 10.1017/S0963180100005168.View ArticlePubMedGoogle Scholar
  34. Edgman-Levitan S, Hill M, Sprenger G, Rosenthal G, Rowe R: Building trust: health care leaders speak out--discussion. Qual Connect. 1998, 7 (1): 6-8.PubMedGoogle Scholar
  35. Gilson L: Trust and the development of health care as a social institution. Soc Sci Med. 2003, 56 (7): 1453-1468. 10.1016/S0277-9536(02)00142-9.View ArticlePubMedGoogle Scholar
  36. Klazinga N: Re-engineering trust: the adoption and adaption of four models for external quality assurance of health care services in western European health care systems. Int J Qual Health Care. 2000, 12 (3): 183-189. 10.1093/intqhc/12.3.183.View ArticlePubMedGoogle Scholar
  37. Greiner KA, Engelman KK, Hall MA, Ellerbeck EF: Barriers to colorectal cancer screening in rural primary care. Prev Med. 2004, 38 (3): 269-275. 10.1016/j.ypmed.2003.11.001.View ArticlePubMedGoogle Scholar
  38. James TM, Greiner KA, Ellerbeck EF, Feng C, Ahluwalia JS: Disparities in Colorectal Cancer Screening: A Guideline-based Analysis of Adherence. Ethnicity and Disease. 2006, 16 (1): 228-233.PubMedGoogle Scholar
  39. Lieberman D, Lieberman D: Screening for colorectal cancer in average-risk populations. Am J Med. 2006, 119 (9): 728-735. 10.1016/j.amjmed.2006.03.037.View ArticlePubMedGoogle Scholar
  40. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/9/363/prepub

Copyright

© Born et al; licensee BioMed Central Ltd. 2009

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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