Skip to main content

Clinical and psychosocial variables associated with behavioral intentions to undergo surveillance endoscopy



Many patients with Barrett’s esophagus do not adhere to guideline-recommended endoscopic surveillance. Among patient factors related to cancer prevention behaviors, patients’ stated behavioral intention is a strong predictor of behavior performance. Little is known about the patient factors associated with having a strong behavioral intention to pursue surveillance endoscopy. This study explores the association of clinical and psychosocial variables and behavioral intention to pursue surveillance endoscopy among patients with Barrett’s Esophagus and no or low-grade dysplasia.


Potential subjects were screened using electronic medical records of a regional Veterans Affairs Medical Center and a pathologically confirmed Barrett’s esophagus registry. Eligible participants were recruited by a mailer or phone call and completed a questionnaire to measure six distinct psychosocial factors, their behavioral intention to undergo surveillance endoscopy, and various demographic and clinical variables. Univariate and multivariate linear regression identified the relation of behavioral intention with each of six psychosocial variables.


One-hundred and one subjects consented and returned surveys. The analytical sample for this study consists of the 94% of surveys with complete responses to the behavior intention items. Three of the six psychosocial domains were statistically significant predictors of intention in both univariate and adjusted univariate analysis (salience/coherence β = 0.59, 95% CI = 0.45-0.76, P <0.01; self-efficacy β = 0.30, 95% CI = 0.10-0.51, P <0.01; and social influence β = 0.20, 95% CI = 0.08-0.33, P <0.01). In a multivariate analysis only salience/coherence (β = 0.65, 95% CI = 0.42-0.88, P <0.01) remained statistically significant predictor of intention.


This study established the validity of a scale to measure psychosocial variables associated with behavioral intentions to undergo surveillance endoscopy. Results demonstrate the importance of assessing self-efficacy, social influences, and bottom-line belief in the value of surveillance endoscopy when evaluating a patient’s likelihood of completing surveillance endoscopy.

Peer Review reports


Detection of pre-cancerous lesions in breast, cervix, and colorectal tissues has significantly decreased the occurrence of advanced stage cancers at diagnosis and their associated mortality and morbidity in the United States [13]. The prevalence of esophageal adenocarcinoma (EA) is increasing in the United States and it carries an overall 5-year survival of 15-25% [46]. Barrett’s esophagus (BE), a precancerous lesion of EA, occurs in the distal esophagus and is characterized by the metaplasia of normal squamous epithelium with intestinal epithelium. BE has the potential to undergo dysplasia and evolve into EA [7]. The annual rate of transformation to EA ranges from 0.5-1% in non-dysplastic BE to 5-10% in those with high-grade dysplasia [811].

Clinical practice guidelines recommend surveillance of non-dysplastic BE via esophagoduodenoscopy (EGD) every three years and every six months to one year for low-grade dysplasia [8, 12, 13]. The pattern of BE surveillance in routine care is variable. In a cohort of over 29,000 patients with BE receiving care in a national integrated healthcare system, less than 45% underwent BE surveillance consistent with clinical practice guidelines [14]. Socio-demographic characteristics of patients and facility-level factors did not explain surveillance patterns in this study. Prior studies have highlighted the importance of insurance type and other financial incentives as drivers of surveillance endoscopy [15, 16]. Less is known about the psychosocial promoters of BE surveillance behavior beyond perceptions of risk and anxiety [17].

The health promotion and disease prevention literature has established the most predictive determinant of whether that individual performs a specific health behavior is that individual’s behavioral intention (i.e., one’s stated motivation to perform that specific action) [18]. The theory of reasoned action has further elaborated a conceptual model of psychosocial variables that moderate the relationship between one’s behavioral intention and the likelihood of carrying out a particular health behavior [19]. Applications of this theory include studies of colorectal cancer screening, condom use, adolescent sexual behavior, smoking, prostate cancer screening, and HIV treatment adherence [2027]. For example, a prospective study of colorectal cancer screening behavior found that participants’ behavioral intentions, measured by a self-reported questionnaire, was predictive of subsequent colorectal cancer screening initiation and maintenance [28]. This measure of behavioral intention was correlated with a number of psychosocial and behavioral constructs including perceived susceptibility to colorectal polyps and cancer (perceived susceptibility), belief in the effectiveness of colonoscopy screening to detect colorectal cancer (efficacy of testing), one’s “bottom-line” perception about the value of colorectal cancer screening (salient/coherence), confidence in one’s ability to perform the behavior assuming that one wanted to do so (self-efficacy), and perception about what referent others (e.g., family friends, respected experts, etc.) think and do with regard to performing the behavior (social influence) [21, 28].

Building from this evidence base, we propose a conceptual model (see Figure 1) of how clinical, demographic and psychosocial variables relate to patients’ behavioral intention to undergo endoscopy for esophageal cancer surveillance [29, 30]. Furthermore, the variables in our model are consistent with survey variables used in the prior study modeling behavioral intentions for colorectal cancer screening [21, 2830]. The aim of the current study is to explore the relationship between these clinical and psychosocial variables and patients’ behavioral intention to undergo surveillance endoscopy. Patients with pathologically confirmed BE received a questionnaire eliciting their intention to undergo endoscopy and responses to the psychosocial variables described in our conceptual model (Figure 1).

Figure 1
figure 1

Conceptual model of factors associated with behavioral intention to undergo endoscopic esophageal surveillance. This model illustrates the key domains that impact one’s intention to pursue esophageal cancer surveillance. Based on the theory of reasoned action, patient characteristics and psychosocial domains influence the overall behavioral intention to perform a health behavior which is undergoing esophageal cancer endoscopic surveillance in this study.


Participants and data collection

Potential participants were identified and recruited in two ways. First, we searched electronic medical records (EMR) of a large regional Veterans Administration medical center to identify patients scheduled for EGD for the purpose of BE surveillance. Inclusion criteria for eligible patients included those who were previously diagnosed with BE with low-grade or no dysplasia by histology and actively under surveillance for cancer transformation. Eligible patients received an opt-out letter explaining the study. We contacted patients who did not opt-out and mailed study materials to willing respondents. This method resulted in 68 participants (a 40% response rate for those approached). The second method of recruitment utilized a BE patient registry to identify eligible participants. All of these participants also had a pathologically confirmed diagnosis of BE. Patients were mailed a study information letter and survey. We received a total of 66 surveys from two rounds of mail outs (a 34% response rate for this portion of the sample).

We then conducted a secondary chart review to ensure all participants returning surveys met the BE surveillance criteria. We define BE surveillance as an EGD procedure occurring after a previous EGD resulting in a pathologically confirmed BE diagnosis [29]. Exclusion criteria for participants included the following: (1) under 18 or older than 80 years of age, (2) severe medical or psychiatric co-morbidity, (3) were hospitalized at the time of recruitment, (4) previous BE or gastroesophageal disorders that would require endoscopy for reasons other than BE screening or surveillance (i.e. gastroduodenal cancer, squamous cell esophageal cancer, gastric ulcers, radiation, caustic ingestion, infectious esophagitis, or HIV), (5) unable to undergo endoscopy (i.e. due to gastric or esophageal surgery, resection, fundoplication, or ulcer surgery), or (6) anemia, bleeding, cirrhosis, or metastatic cancer. This secondary chart review resulted in 33 participant surveys being excluded. A total of 101 participants met all inclusion criteria and were consented, but seven had missing values for the intention measure and were subsequently excluded. The remaining 94 participants constitute the analytical sample of the current study. This study was approved by the Institutional Review Board for Baylor College of Medicine and the Michael E. DeBakey Veteran Affairs (VA) Medical Center research committee.

Instrument development

A validated instrument used to predict colorectal cancer screening was modified for the development of this survey [21, 31]. This instrument was modified to measure patient’s intention to participate in an EGD for BE surveillance and includes items measuring the variables described in Figure 1. The scale includes 21 questions forming 6 subscales or domains shown to predict behavioral intention (one outcome). Respondents used a five-point Likert scale to report their level of agreement with each item, responses ranged from (1) not at all to (5) extremely.

After modifying the scale we then field tested the instrument using cognitive interviewing to test the feasibility and face validity of the survey with a sample of patients (n = 6) being seen in an outpatient GI clinic [32]. After completing the survey, a researcher went through each response item-by-item probing for readability and interpretation of each question. Items and survey instructions were modified based on patient feedback. The participants enrolled in the current study received this modified survey. Internal consistency of the 21-item modified study instrument to measure patient’s intention to participate in an EGD for BE surveillance was measured in our study sample using Cronbach’s alpha. The study instrument had an overall Cronbach’s alpha of 0.81 indicating good reliability in our study sample.

Dependent variable

Intention to complete an EGD was measured as the average between the two intention questions: “I intend to undergo endoscopy” and “I do not intend to go through endoscopy” (reverse-coded). Each item has a 5-point Likert scale from strongly disagree (1) to strongly agree (5). This intention measure is adapted from a validated measure of colonoscopy intention that was found to be highly predictive of receiving colonoscopy for initiation of colorectal screening (odds ratio 2.34, 95% confidence interval 1.44-3.81) and maintenance screening (odds ratio 1.53, 95% confidence interval 1.03-2.63) in a multivariate, prospective study [28]. All study participants included in our final analysis completed the intention to complete EGD measure.

Predictors of behavioral intention

Figure 1 illustrates our conceptual model describing the predictors of behavioral intention to undergo surveillance endoscopy. The survey items measuring each psychosocial variable in Figure 1 were adapted from the previously described survey of psychosocial predictors of colorectal cancer screening and surveillance colonoscopy among predominately male autoworkers [33]. Perceived Susceptibility (3-items) measures the patient’s belief about their chances of developing EA. Salience and Coherence (4-items) is the patient’s belief that completing the EGD is seen as important and makes sense to the patient, i.e., the bottom-line importance of BE surveillance. The patient’s belief in the efficacy of EGD and the curability of EA was measured by 4-items. Self-efficacy (3-items) represents the patient’s confidence in their ability to complete the EGD or the steps necessary for the EGD. A patient’s level of worry about the EGD and the possibility of being diagnosed with EA were measured by 3-items. Social influence (2-items) measures a patient’s familial influence and support to complete the EGD (Additional file 1). Data is missing from three respondents for the efficacy of EGD measure and from six respondents for the social influence measure.


Background variables were abstracted from patient electronic medical records as well as from survey items. Background factors included demographic characteristics (gender, age, marital status, income, education, and race), degree of BE (non-dysplastic vs. dysplastic), Deyo comorbidity score, and a literacy score. The Deyo comorbidity score is a modification of the Charlson comorbidity summary score. The score has been used to predict mortality within one year of hospitalization. This score is based on points assigned to fifteen specific ICD-9 diagnostic and procedural codes recorded in a patient’s EMR [34]. Health literacy was assessed by having participants respond to the question, “How confident are you in filling out medical forms?” using a 5-point Likert scale (scaled in ascending order of literacy). This single item question has been validated to estimate functional health literacy among English-speaking patient populations with established, criterion measures of health literacy [35]. Education data was missing for three respondents and functional health literacy data was missing for one respondent.

Data analysis

Descriptive statistics

Patient characteristics were reported using sample distribution (Table 1). Mean/standard deviation was calculated for continuous variables, and frequency for categorical variables. Age and literacy were continuous, whereas race (white vs. others), education (some college or greater vs. high school or less), and Deyo score (0, 1, or >1) were categorical variables.

Table 1 Demographic and psychosocial characteristics of Barrett’s esophagus patients (n = 94)

Regression analysis

Univariate analysis was conducted using linear regression models to determine the predictor of participants’ reported intention to undergo EGD. Each behavioral and psychosocial variable (perceived susceptibility, efficacy of EGD, worry, salience/coherence, self-efficacy, and social influences) was assessed in a separate univariate model. We then adjusted each univariate model for patient characteristics including age, race, education, functional health literacy, and Deyo score. Lastly, multiple linear regression was conducted including all behavioral and psychosocial variables described under methods and adjusted for patient characteristics. All analyses were conducted using SAS® 9.2.


The total sample size for the study is 94 participants. The group had a mean age of 63.4 years old and was predominately male (97.8%). The sample was predominately white (89.4%) and college educated (59.3%). The patients’ BE severity was noted as 81 (86%) with no dysplasia and 13 (14%) with low-grade dysplasia. Most individuals were married (58.5%). On average, participants had moderate to good functional health literacy (score 3.8 along 5-point Likert scale). Comorbidity was generally low in this sample as almost three-quarters of all participants had one or less comorbidity. Participants reported a high overall mean score for intention to undergo endoscopy with most scores falling from moderate to very high (mean = 4.5 ± 0.8).

Summary of measured psychosocial variables

Distributions for behavioral and psychosocial variables are described in the bottom portion of Table 1. Participants reported low to moderate scores (2.0-3.0) for worry, perceived susceptibility, and social influence. They also reported moderate scores (3.0-4.0) for perceived efficacy of endoscopy and self-efficacy to comply with endoscopy recommendations. Participants reported highest scores for salience and coherence of the importance of endoscopy.

Regression analyses

Univariate analysis indicated salience/coherence (β = 0.59, p < 0.01), self-efficacy (β = 0.39, p < 0.01), and social influence (β = 0.17, p < 0.01) were predictors of behavioral intention to undergo endoscopy in BE patients (Table 2). Even after adjusting for patient characteristics, salience/coherence (β = 0.60, p < 0.01), self-efficacy (β = 0.30, p < 0.01), and social influence (β = 0.20, p < 0.01) remained significant predictors of intention (Table 2). Perceived susceptibility to esophageal cancer, belief in the efficacy of EGD surveillance, and worry about esophageal cancer were not predictors of intention to undergo endoscopy in either of these analyses.

Table 2 Predictors of behavioral intention to undergo endoscopy using univariate and adjusted linear regression models

Multiple regression analyses

Table 3 describes the results of a multivariate analysis that models the association of participants reported intention to undergo endoscopy with all psychosocial variables adjusting for patient characteristics. This model explains 57% of the overall variance in scores of participants’ intentions to undergo endoscopy. The only significant predictor of intention to undergo endoscopy after multivariate adjustment was salience/coherence (β = 0.65, p < 0.01). Self-efficacy and social influence were no longer significant (p = 0.89 and p = 0.95, respectively).

Table 3 Multivariate linear regression analysis of predictors of behavioral intention score


This study assessed the relationship of six psychosocial variables elaborated in our conceptual model (see Figure 1) to BE patients’ intention to pursue endoscopic surveillance. Our analysis revealed three psychosocial variables significantly associated with behavioral intention after adjusting for patient characteristics: salience/coherence (bottom-line importance of BE surveillance), self-efficacy (patient’s confidence in their ability to complete the steps necessary for surveillance), and social influence (patient’s familial influence and support to complete endoscopic surveillance). In a multivariate model that factored all six psychosocial variables and adjusted for patient characteristics, only salience/coherence remained significantly associated with intention to pursue BE surveillance. Worry and perceived cancer risk, the psychosocial variables commonly attributed to cancer surveillance behaviors, were not associated with behavioral intentions in this study.

Our study results build from and are consistent with other studies evaluating patients’ intentions to pursue gastrointestinal cancer screening and surveillance. The survey items used in this study were adapted from a validated survey of psychosocial variables and behavioral intentions to pursue colorectal cancer screening [20, 31]. Our study measured similar psychosocial domains specifically related to behavioral intentions for surveillance endoscopy in a sample of BE patients. The survey was feasible to deliver by mail and in-person, had good internal consistency, and performed consistently with our proposed conceptual model (Figure 1). This survey could be used in future studies exploring patients’ psychosocial and behavioral determinants of endoscopy for BE and cancer surveillance.

Despite these strengths, the current study has limitations. Our cross-sectional design and sampling strategy limited our ability to evaluate a prospective relationship between behavioral intention and receipt of endoscopic surveillance. However, there is a well-established literature in disease prevention, broadly, and cancer screening, in particular, delineating this predictive relationship [18]. Our study findings relied primarily on patient-reported psychosocial variables, which may explain why participants’ responses to our behavioral intention measure skewed towards the higher end of the Likert scale. Despite this limitation, these survey measures were previously validated in a study of colorectal cancer screening and our analytical model did include objective measures of clinical and demographic characteristics.

The study population was composed primarily of predominately white, college-educated, male veterans recruited from a population with a low response rate for study enrollment. Selection bias might be present although the demographics of those recruited were similar to those of individuals diagnosed with BE in the VA national database. Despite this difficulty with recruitment, the enrolled sample mirrors a larger sample of VA BE patients with poor adherence to endoscopic surveillance in regard to demographics including race and gender (83.2% white and 97% male) [14]. The study results may not be generalizable to the US general population in regard to inherent patient characteristics including higher level of education and health literacy. These same variables could impact the relationship of salience/coherence and esophageal cancer endoscopic surveillance when compared to a diverse sample. Additionally, this study only measures psychosocial factors outlined in the theory of reasoned action, but other unmeasured psychosocial domains could influence behavioral intention in this context. Lastly, the findings observed do provide insight about psychosocial factors that predict esophageal endoscopic surveillance in this sample, but the results may not be applicable to other cancer screening or surveillance behaviors.Future studies will need to expand and validate our survey instrument to confirm the relationships in our conceptual model (Figure 1) and the predictive relation of behavioral intention and receipt of surveillance endoscopy. This study established the feasibility of measuring important psychosocial domains that predict intention to undergo BE surveillance. Conversely, we now need to better understand the reasons why patients are non-adherent to guideline-recommended endoscopic surveillance.


Finally, the results of the current study suggest that physicians should focus less on cancer-related worry and risk when discussing BE surveillance and more on the positive emotions related to confidence to complete endoscopy, bottom-line importance of BE surveillance, and the encouragement of patients’ family members to complete surveillance endoscopy.



Barrett’s esophagus


Esophageal adenocarcinoma




Electronic medical record


Veterans affairs.


  1. Feig SA: How reliable is the evidence for screening mammography?. Recent Results Cancer Res. 2003, 163: 129-139. discussion 264–126

    Article  PubMed  Google Scholar 

  2. Scarinci IC, Garcia FA, Kobetz E, Partridge EE, Brandt HM, Bell MC, Dignan M, Ma GX, Daye JL, Castle PE: Cervical cancer prevention: new tools and old barriers. Cancer. 2010, 116 (11): 2531-2542.

    PubMed  PubMed Central  Google Scholar 

  3. Jemal A, Siegel R, Ward E, Hao Y, Xu J, Murray T, Thun MJ: Cancer statistics, 2008. CA Cancer J Clin. 2008, 58 (2): 71-96.

    Article  PubMed  Google Scholar 

  4. Jemal A, Siegel R, Ward E, Hao Y, Xu J, Thun MJ: Cancer statistics, 2009. CA: Cancer J Clin. 2009, 59 (4): 225-249.

    Google Scholar 

  5. Enzinger PC, Mayer RJ: Esophageal cancer. N Engl J Med. 2003, 349 (23): 2241-2252.

    Article  CAS  PubMed  Google Scholar 

  6. Pennathur A, Luketich JD: Resection for esophageal cancer: strategies for optimal management. Ann Thorac Surg. 2008, 85 (2): S751-S756.

    Article  PubMed  Google Scholar 

  7. Atkinson M, Chak A: Screening for Barrett’s Esophagus. Tech Gastrointest Endosc. 2010, 12 (2): 62-66.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Mashimo H, Wagh MS, Goyal RK: Surveillance and screening for Barrett esophagus and adenocarcinoma. J Clin Gastroenterol. 2005, 39 (4 Suppl 2): S33-S41.

    Article  PubMed  Google Scholar 

  9. Pennathur A, Landreneau RJ, Luketich JD: Surgical aspects of the patient with high-grade dysplasia. Semin Thorac Cardiovasc Surg. 2005, 17 (4): 326-332.

    Article  PubMed  Google Scholar 

  10. Reid BJ, Weinstein WM, Lewin KJ, Haggitt RC, VanDeventer G, DenBesten L, Rubin CE: Endoscopic biopsy can detect high-grade dysplasia or early adenocarcinoma in Barrett’s esophagus without grossly recognizable neoplastic lesions. Gastroenterology. 1988, 94 (1): 81-90.

    Article  CAS  PubMed  Google Scholar 

  11. Schnell TG, Sontag SJ, Chejfec G, Aranha G, Metz A, O’Connell S, Seidel UJ, Sonnenberg A: Long-term nonsurgical management of Barrett’s esophagus with high-grade dysplasia. Gastroenterology. 2001, 120 (7): 1607-1619.

    Article  CAS  PubMed  Google Scholar 

  12. Spechler SJ, Sharma P, Souza RF, Inadomi JM, Shaheen NJ, American Gastroenterological A: American Gastroenterological Association medical position statement on the management of Barrett’s esophagus. Gastroenterology. 2011, 140 (3): 1084-1091.

    Article  PubMed  Google Scholar 

  13. Wang KK, Sampliner RE, Practice Parameters Committee of the American College of G: Updated guidelines 2008 for the diagnosis, surveillance and therapy of Barrett’s esophagus. Am J Gastroenterol. 2008, 103 (3): 788-797.

    Article  PubMed  Google Scholar 

  14. El-Serag HB, Duan Z, Hinojosa-Lindsey M, Hou J, Shakhatreh M, Naik AD, Chen GJ, Street RL, Kramer JR: Practice patterns of surveillance endoscopy in a Veterans Affairs database of 29,504 patients with Barrett’s esophagus. Gastrointest Endosc. 2012, 76 (4): 743-755.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Crockett SD, Lipkus IM, Bright SD, Sampliner RE, Wang KK, Boolchand V, Lutzke LS, Shaheen NJ: Overutilization of endoscopic surveillance in nondysplastic Barrett’s esophagus: a multicenter study. Gastrointest Endosc. 2012, 75 (1): 23-31. e22

    Article  PubMed  Google Scholar 

  16. Naik AD, Hinojosa-Lindsey M, Arney J, El-Serag HB, Hou J: Choosing wisely and the perceived drivers of endoscopy use. Clin Gastroenterol Hepatol. 2013, 11 (7): 753-755.

    Article  PubMed  Google Scholar 

  17. Hinojosa-Lindsey M, Arney J, Heberlig S, Kramer JR, Street RL, El-Serag HB, Naik AD: Patients’ intuitive judgments about surveillance endoscopy in Barrett’s esophagus: a review and application to models of decision-making. Dis Esophagus. 2013, 26 (7): 682-689.

    CAS  PubMed  PubMed Central  Google Scholar 

  18. Goodson P: Theory in Health Promotion Research and Practice: Thinking Outside the Box. 2010, Sudbury, Mass: Jones and Bartlett

    Google Scholar 

  19. Fishbein M: A reasoned action approach to health promotion. Med Decis Making. 2008, 28 (6): 834-844.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Myers RE, Vernon SW, Tilley BC, Lu M, Watts BG: Intention to screen for colorectal cancer among white male employees. Prev Med. 1998, 27 (2): 279-287.

    Article  CAS  PubMed  Google Scholar 

  21. Watts BG, Vernon SW, Myers RE, Tilley BC: Intention to be screened over time for colorectal cancer in male automotive workers. Cancer Epidemiol Biomarkers Prev. 2003, 12 (4): 339-349.

    PubMed  Google Scholar 

  22. Albarracin D, Johnson BT, Fishbein M, Muellerleile PA: Theories of reasoned action and planned behavior as models of condom use: a meta-analysis. Psychol Bull. 2001, 127 (1): 142-161.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Bleakley A, Hennessy M, Fishbein M, Jordan A: Using the Integrative Model to explain how exposure to sexual media content influences adolescent sexual behavior. Health Educ Behav. 2011, 38 (5): 530-540.

    Article  PubMed  Google Scholar 

  24. Bleakley A, Piotrowski JT, Hennessy M, Jordan A: Predictors of parents’ intention to limit children’s television viewing. J Pub Health. 2013, 35: 525-532.

    Article  Google Scholar 

  25. Van De Ven MO, Engels RC, Otten R, Van Den Eijnden RJ: A longitudinal test of the theory of planned behavior predicting smoking onset among asthmatic and non-asthmatic adolescents. J Behav Med. 2007, 30 (5): 435-445.

    Article  PubMed  Google Scholar 

  26. Nelsen A, Trautner BW, Petersen NJ, Gupta S, Rodriguez-Barradas M, Giordano TP, Naik AD: Development and validation of a measure for intention to adhere to HIV treatment. AIDS Patient Care STDs. 2012, 26 (6): 329-334.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Myers RE, Wolf TA, McKee L, McGrory G, Burgh DY, Nelson G, Nelson GA: Factors associated with intention to undergo annual prostate cancer screening among African American men in Philadelphia. Cancer. 1996, 78 (3): 471-479.

    Article  CAS  PubMed  Google Scholar 

  28. McQueen A, Vernon SW, Myers RE, Watts BG, Lee ES, Tilley BC: Correlates and predictors of colorectal cancer screening among male automotive workers. Cancer Epidem Biomar. 2007, 16 (3): 500-509.

    Article  Google Scholar 

  29. di Pietro M, Fitzgerald RC: Screening and risk stratification for Barrett’s esophagus: how to limit the clinical impact of the increasing incidence of esophageal adenocarcinoma. Gastroenterol Clin N Am. 2013, 42 (1): 155-173.

    Article  Google Scholar 

  30. Holland JC: Psycho-oncology. 2010, New York: Oxford University Press, 2

    Book  Google Scholar 

  31. Vernon SW, Myers RE, Tilley BC: Development and validation of an instrument to measure factors related to colorectal cancer screening adherence. Cancer Epidem Biomar. 1997, 6 (10): 825-832.

    CAS  Google Scholar 

  32. Aday LA: Designing and Conducting Health Surveys: A Comprehensive Guide. 1996, San Francisco, CA: Jossey-Bass Publishers, 2

    Google Scholar 

  33. Tilley BC, Vernon SW, Myers R, Glanz K, Lu M, Hirst K, Kristal AR: The Next Step Trial: impact of a worksite colorectal cancer screening promotion program. Prev Med. 1999, 28 (3): 276-283.

    Article  CAS  PubMed  Google Scholar 

  34. Klabunde CN, Potosky AL, Legler JM, Warren JL: Development of a comorbidity index using physician claims data. J Clin Epidemiol. 2000, 53 (12): 1258-1267.

    Article  CAS  PubMed  Google Scholar 

  35. Sarkar U, Schillinger D, Lopez A, Sudore R: Validation of self-reported health literacy questions among diverse English and Spanish-speaking populations. J Gen Intern Med. 2011, 26 (3): 265-271.

    Article  PubMed  Google Scholar 

Pre-publication history

Download references


This work was supported by NIH grant RC4CA155844 awarded to Dr. El-Serag and the Texas Digestive Disease Center (NIH DK58338). Additional resources and support was provided by NIH Postdoctoral Research Training Grant (T32DK007664) to Dr. Hollier and the Houston Center for Innovations in Quality, Effectiveness and Safety (CIN 13-413). The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs or National Institutes of Health.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Aanand D Naik.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

JMH participated in the study analysis and drafted the manuscript. MHL was involved in study design, recruitment, data collection, and data analysis. SS participated in study design and statistical analysis. HEB and ADN jointly conceived the study, contributed to data collection and analysis, and supervised the study design and coordination. All authors read and approved the final manuscript.

Electronic supplementary material


Additional file 1: Items Comprising the Intention to Undergo Esophageal Endoscopic Surveillance in Barrett’s Esophagus Survey, stratified by domain.(DOCX 16 KB)

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( ) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hollier, J.M., Hinojosa-Lindsey, M., Sansgiry, S. et al. Clinical and psychosocial variables associated with behavioral intentions to undergo surveillance endoscopy. BMC Gastroenterol 14, 107 (2014).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: