Abstract
Objective
Tailored, interactive mammography-promotion interventions can increase adherence if women are exposed to and find them usable. We compare exposure to and usability of interventions delivered via telephone v. DVD.
Methods
Process evaluation measures from 926 women randomly assigned to telephone or DVD intervention and completing post-intervention surveys.
Results
~83% of each group reported exposure to all content. Partial exposure was higher for DVD (9% v 0.4%; p<.01); no exposure was higher for phone (15% v 8%; p<.01). There were no differences in exposure by age or race. Full phone exposure was less likely for women who already made mammography appointments. Usability rating was higher for DVD (p<.05), driven by ratings of understandability and length. Usability of both interventions was correlated with lower baseline barriers, and higher fear, benefits, and self efficacy. Higher ratings for phone were associated with lower knowledge and contemplating mammography. Non-whites rated DVD better than whites.
Conclusion
Both tailored interactive interventions had wide reach and favorable ratings, but DVD recipients had greatest exposure to at least partial content and more favorable ratings, especially among non-white women.
Practice implications
This first evaluation of a tailored, interactive DVD provides promise for its use in mammography promotion.
Keywords: Tailored intervention, Mammography, Breast cancer
1. Introduction
Despite recent controversies, there is no debate that regular mammograms facilitate mortality reduction [1–5]. Among US women 50–64, mammography within the last two years has declined 7% [6–8]. Interventions using translatable technologies are needed [9]. We developed Mammograms Save Lives: Decide Today – the first interactive tailored DVD promoting mammography use. Through a randomized controlled trial, we are comparing it with a tailored telephone intervention and with usual care.
DVD and phone interventions cover the same topics, and share tailoring variables and algorithms to select content based on responses to queries. However, they differ in interactivity and method of exposure. Telephone allows for live conversation but cannot use graphics or visuals; the DVD collects real-time information via remote control to deliver tailored narrative stories, graphics, and video.
For exposure, women must either interact with the telephone interventionist or use the mailed DVD.
Intervention studies often report both process and outcome evaluations [10]. Measuring exposure is important for interventions that require voluntary action (i.e., mailed interventions). Research has shown that interventions assessed favorably by users are also more effective for facilitating behavior change [11–16]. Because intervention effects vary by medium, participant demographics, beliefs, attitudes, and intentions, it is possible that these factors result in variations in exposure and reactions. Research questions are:
Did intervention exposure differ (a) between DVD and telephone groups and (b) within groups, by participant characteristics?
Among those exposed, did usability ratings differ (a) between DVD and telephone groups and (b) within groups, by participant characteristics?
2. Methods
2.1 Sample description
Participants were members of Methodist Medical Group (MMG) in Indiana and Blue Cross/Blue Shield of North Carolina (BCBSNC), ages 41–65, could read English, had no mammogram within 15 months, no previous breast cancer or bilateral mastectomies, and no physician advice to forego mammography. The 15-month adherence cut-off is consistent with US annual screening guidelines at the time of enrollment [17–19], plus a customary “grace period”[20–22]. Of 3,469 women reached who had not had a mammogram within 15 months, 1,705 (49.1%) consented and were randomly assigned (Figure 1). We use data from 926 women (407 DVD and 519 phone) who completed follow-up surveys assessing exposure and usability.
Fig. 1.
Study Flow Chart
2.2 Procedures
MMG and BCBSNC mailed letters with a brief study description and instructions for opting out of contact. Women not opting out were called to give verbal consent and HIPAA authorization, and complete baseline surveys. Post baseline, we mailed a DVD or attempted delivery of the telephone intervention over a four-week period. Follow-up phone surveys were administered one month post-baseline. Participants received gift cards for completing surveys. Study procedures were approved by Indiana and Duke Universities’ IRBs.
2.3 Interventions
Interventions include messages tailored to variables from the Health Belief and Transtheoretical Models [23, 24] previously associated with mammography use. [13, 25–39] Sample cells for our intervention development grid appear in Table I, showing theoretical constructs to be addressed, concepts to communicate, and script (telephone) or visual image and voiceover (DVD).
Table I.
Sample cells from DVD intervention development grid
| Theoretical constructs  | 
Concepts | Visual image | Voiceover/ Character Script  | 
|---|---|---|---|
| Perceived risk and benefits from early detection | You may still be at risk even with clinical or self exam and mammograms have benefit of finding smaller lumps | Sharon Jacobs character with jewelry box on dresser | Why do you need to add mammograms to breast exams? | 
| Picks up smaller pearl earring | With mammograms, lumps this size can be detected and removed before they begin to spread in the breast and the rest of the body. | ||
| Picks up larger pearl earring | But, without mammograms, breast lumps usually keep growing – up to about this size, when they’re large enough to be felt by a breast exam. | ||
| Puts on larger pearl earring | Large pearls are nice. But, when you’re talking about breast cancer, smaller is definitely better. | ||
| Perceived barrier (embarrassment) | Mammogram technologists are empathetic and trained to minimize exposure | Mammography technologist talking with mammogram machine in background | I do mammograms every day. And, once a year, I have one myself. So, I know what it’s like on both sides of the machine. I tell women who might be embarrassed to wear a two-piece outfit so they don’t have to get completely undressed, and I show them how to use the gown to keep themselves covered up as much as possible. I always tell women to let me know if they have any concerns before or during the mammogram. And finally, if you go somewhere and don’t get the respect and privacy you deserve, don’t put up with it. Shop around until you find a place that treats you right. | 
The DVD begins with a narrator introducing four women diverse in age, income, race, education, and reasons for non-adherence1. Questions about risk factors are presented, with tailored video segment responses. An anatomical animation of breast cancer metastasis and the procedure of having a mammogram are demonstrated. A series of video segments on barriers follows. If women respond positively to, e.g., “Is it hard to get regular mammograms because you don’t have enough time?” they see a character overcoming the barrier. The DVD ends with the narrator encouraging viewers to overcome barriers and have a mammogram. Average use time was 10 minutes for DVD and 11.3 minutes for telephone, which had the same content adapted to a conversational format.
2.4 Measures
Baseline survey assessed demographics, mammography stage, and beliefs via validated scales [40–43]. Telephone interventionists coded content delivered (all, some, none). We measured DVD exposure via self-report at follow-up. Usability was assessed at follow-up with a scale from our previous work [44].
2.4.4. Analyses
Between-group comparisons used two-sided Fisher’s exact test for exposure and Wilcoxon rank sum test for usability score. Individual items were adjusted using the False Discovery Rate (0.05) [45]. Comparisons between participant characteristics and exposure/usability were performed within each group.
3. Results
Intervention groups were similar in baseline characteristics (Table II).
Table II.
Participant characteristics and baseline beliefs by group
| Characteristics/Beliefs | DVD Group (n = 407)  | 
Phone Group (n = 519)  | 
P value | 
|---|---|---|---|
| Age, mean (SD) | 52.3 (8.1) | 51.9 (8.2) | 0.372 | 
| Years of education, mean (SD) | 14.5 (2.4) | 14.3 (2.3) | 0.287 | 
| n (%) | n (%) | ||
| Race | 0.773 | ||
| Black or African American | 61 (15.0) | 78 (15.1) | |
| White | 337 (82.8) | 431 (83.4) | |
| Other | 9 (02.2) | 8 (01.5) | |
| Married or living with a partner, n (%) yes | 301 (74.0) | 403 (77.6) | 0.215 | 
| Currently working for pay, n (%) yes | 321 (78.9) | 405 (78.0) | 0.809 | 
| Household income | 0.131 | ||
| <$30,000 | 70 (17.6) | 81 (16.1) | |
| $30,001 – $50,000 | 101 (25.4) | 112 (22.2) | |
| $50,001 – $75,000 | 84 (21.2) | 113 (22.4) | |
| $75,001 – $100,000 | 70 (17.6) | 86 (17.1) | |
| >$100,000 | 72 (18.1) | 112 (22.2) | |
| Mammography stage (baseline) | 0.773 | ||
| Pre-contemplation | 124 (30.5) | 153 (29.5) | |
| Contemplation | 283 (69.5) | 366 (70.5) | |
| Preparation, # (%) yes | 41 (10.1) | 36 (6.9) | 0.094 | 
Note. For continuous variables and ordinal income, the two-sided normal-approximated Wilcoxon rank sum test was used. For categorical variables, the two-sided Fisher's exact test was used.
Two-sided Fisher's exact test p-value for Caucasian vs others was 0.79.
Two-sided Fisher's exact test p-value for dichotomized income (≤$50,000 vs. >$50,000) was 0.15
3.2 Research Question 1 – Intervention exposure
Some exposure was higher for the DVD; no exposure was greater for phone (Table III).
Within-group analyses showed no differences in DVD exposure by participant characteristics. Telephone exposure differed by baseline stage, with full exposure lower for women who already had appointments (preparation) than those without appointments (69% v. 85%, p = .018).
Table III.
DVD versus phone exposure
| DVD (n = 407)  | 
Phone (n = 519)  | 
p-value | |||
|---|---|---|---|---|---|
| Exposure to content in DVD or phone call | n | % | n | % | <.001 | 
| Full exposure to all content | 337 | 83.2 | 437 | 84.2 | |
| Some exposure | 36 | 8.9 | 2 | 0.4 | |
| No exposure | 32 | 7.9 | 80 | 15.4 | |
| Unknown | |||||
Note. The p-value is from the two-sided Fisher's Exact test.
Because the 2 × 3 table was significant (p <.001), post-hoc 2 × 2 comparisons are:
Full exposure vs Some or None, p = 0.719.
Some exposure vs Full or None, p < 0.001.
No exposure vs Some or Full, p = 0.001.
3.3 Research Question 2 –Intervention usability ratings
Between-group analyses showed overall usability scores higher for DVD (Table IV). At the item level, after adjusting for multiple comparisons, more phone recipients reported it “took too much time”. More DVD recipients agreed “information was easy to understand,” and “time passed quickly” during the intervention.
Within both groups, higher perceived benefits and self efficacy, lower barriers, and higher breast cancer fear were associated with higher usability ratings (Table V).
Table IV.
DVD versus phone usability scores
| Usability Scores | DVD (n =337) Mean SD  | 
Phone (n = 432) Mean SD  | 
Unadjusted p-value  | 
||||
|---|---|---|---|---|---|---|---|
| Usability Total Score § | 71.86 | 7.76 | 70.62 | 7.25 | 0.009 | ||
| Item | Item-level comparisons | ||||||
| 1 | You could understand messages you heard | 4.79 | 0.41 | 4.67 | 0.51 | 0.002* | |
| 2 | It took too much time | 1.77 | 0.70 | 2.34 | 0.98 | <.001* | |
| 3 | It made you nervous | 1.68 | 0.76 | 1.74 | 0.77 | 0.195 | |
| 4 | You enjoyed it | 3.95 | 0.79 | 4.06 | 0.68 | 0.094 | |
| 5 | Information you received was important to you | 4.27 | 0.73 | 4.27 | 0.69 | 0.674 | |
| 6 | You were very interested in the information | 4.17 | 0.75 | 4.16 | 0.71 | 0.604 | |
| 7 | It made you think about breast cancer | 4.38 | 0.73 | 4.39 | 0.65 | 0.674 | |
| 8 | Messages made sense to you | 4.50 | 0.54 | 4.48 | 0.54 | 0.691 | |
| 9 | The information doesn't relate to you | 1.84 | 0.86 | 1.92 | 0.84 | 0.070 | |
| 10 | The information was interesting | 4.20 | 0.64 | 4.17 | 0.62 | 0.358 | |
| 11 | Now have enough information to make decision | 4.32 | 0.70 | 4.37 | 0.61 | 0.574 | |
| 12 | Time passed quickly when using it | 4.04 | 0.76 | 3.91 | 0.80 | 0.010* | |
| 13 | You listened carefully to messages | 4.37 | 0.50 | 4.34 | 0.52 | 0.543 | |
| 14 | The information was easy to understand | 4.50 | 0.51 | 4.37 | 0.53 | 0.001* | |
| 15 | You can use the information in your daily life | 4.20 | 0.66 | 4.09 | 0.70 | 0.025 | |
| 16 | It seemed like it was meant just for you | 3.43 | 1.02 | 3.39 | 0.96 | 0.393 | |
| 17 | You don’t really need this information | 1.95 | 0.88 | 1.98 | 0.86 | 0.548 | |
| 18 | You had trouble paying attention to it | 1.70 | 0.58 | 1.80 | 0.64 | 0.032 | |
Usability Total Score is the sum of 17 items, reverse scoring items 2, 3,9,17,18 and excluding item 3.
The unadjusted p-value is from the two-sided normal-approximated Wilcoxon rank sum test.
Four items remained significant after adjusting for 18 item-level comparisons with the FDR method.
Item response options: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.
Table V.
Correlations between baseline scales and usability by group
| DVD (n =337)  | 
Phone (n = 432)  | 
|||
|---|---|---|---|---|
| r | p | r | p | |
| Baseline scales | ||||
| Mammography screening scales | ||||
| Knowledge | −0.01 | 0.830 | −0.15 | 0.002 | 
| Benefits | 0.31 | <.001 | 0.29 | <.001 | 
| Self efficacy | 0.25 | <.001 | 0.17 | 0.001 | 
| Barriers | −0.24 | <.001 | −0.29 | <.001 | 
| Fear | 0.13 | 0.021 | 0.12 | 0.010 | 
| Fatalism | −0.10 | 0.061 | −0.08 | 0.082 | 
| Susceptibility | 0.10 | 0.064 | 0.03 | 0.513 | 
| Optimism | 0.08 | 0.150 | −0.07 | 0.167 | 
r = Spearman rank correlation.
Within the DVD group, usability scores were higher among non-white women than Caucasians (75.1 v. 71.2; p=.001).
Within the phone group, higher usability scores were associated with contemplating having a mammogram (69.1 v. 71.3; p = .004) and lower breast cancer knowledge (Table V).
4. Discussion and Conclusion
4.1 Discussion
This paper reports process evaluations of two mammography interventions. In both groups, most women (~83%) were fully exposed to the intervention. More women in the DVD group indicated some exposure compared to the telephone group, perhaps indicating more women would receive at least some content if mailed a DVD. Women in the telephone group who had an appointment for a mammogram were less likely to be exposed to the intervention, but no such exposure-by-preparation association existed for the DVD group. Perhaps women who already had an appointment to have a mammogram were less motivated to complete phone counseling than to watch the DVD, which was more novel.
Overall usability ratings were higher for DVD. Specific items for which DVD was rated as better were information being easy to understand and time it took, with phone perceived as taking more time. However, more DVD than telephone recipients reported getting less information than desired. The irony is that phone and DVD content was as similar as possible, given the difference in media, and they took comparable time to complete. Perhaps the DVD felt more fast-paced and engaging – giving the feeling of wanting more when it finished. The higher overall DVD rating suggests wanting more information was not seen as a major negative.
Usability ratings were positively associated with baseline breast cancer knowledge and mammography-related beliefs in both groups. Messages may have resonated more among women whose attitudes and beliefs were already consistent with having mammograms.
Several participant characteristics were correlated with usability for only one group. Favorable ratings of phone – but not DVD – were associated with lower breast cancer knowledge and lower stage of considering mammograms. Presumably, these women had more to learn and, therefore, found the two-way phone intervention more relevant and useful. But, why were there not similar associations in the DVD group? Perhaps DVD recipients, regardless of knowledge or stage, were interested in the novel medium and graphics that could not be included by telephone.
Non-white participants rated the DVD more favorably, perhaps due to diversity of featured characters and race-tailored photographs - features that could not be reproduced by phone. Finally, we were surprised that women with lower cancer fatalism scores rated the DVD more favorably because messages combating fatalism in each intervention had the same elements (e.g., good treatment outcomes if found early, better to find out and do something about it). The conversational phone intervention may have been more acceptable for women with fatalistic beliefs than narrative from a DVD character who found her own cancer early and “beat it”.
Several study limitations must be considered. Because we could not directly measure DVD exposure, we followed the practice of other mailed intervention studies and relied on self reports [11–13]. However, a more direct measure of DVD exposure would have provided stronger conclusions. We had no exposure or usability data from intervention recipients who did not complete the follow-up survey; this limitation is exacerbated by differential completion rates in the two groups. Those not exposed to the interventions or who liked them least may have been less likely to complete the survey. Mammography outcome data that will eventually be available from our randomized trial may shed light on whether this is the case.
4.3 Conclusions & practice implications
DVD and telephone tailored interventions each had wide reach and favorable ratings, but the DVD had greatest exposure to at least partial content and more favorable overall ratings. This first evaluation of a tailored DVD provides support for this medium to deliver health behavior change interventions.
I confirm all patient/personal identifiers have been removed or disguised so the patient/person(s) described are not identifiable and cannot be identified through the details of the story.
Acknowledgments
This work was supported by the Institute for Nursing Research at the National Institutes of Health [grant number R01 NR008434].
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Actors in the DVD were recruited from the actors’ guild in Athens, GA. The narrator was hired through Voicecasting, an Atlanta-based talent agency. Graphics, DVD jacket artwork, and DVD formatting, including an instructional demonstration for using the DVD, were developed by Eo Studios in Athens, GA.
Contributor Information
Skinner Celette Sugg, Department of Clinical Sciences, Harold C. Simmons Cancer Center, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, Texas 75390-9066, USA, Telephone: (214) 648-5499, Fax: (214) 648-3934, celette.skinner@utsouthwestern.edu.
Buchanan Adam, Duke Comprehensive Cancer Center, Duke University Medical Center.
Champion Victoria, Indiana University School of Nursing, IU Simon Cancer Center.
Monahan Patrick, Indiana University School of Medicine, IU Simon Cancer Center.
Rawl Susan, Indiana University School of Nursing, IU Simon Cancer Center.
Springston Jeffrey, Department of Advertising and Public Relations, College of Journalism and Mass Communication.
Qianqian Zhao, Indiana University School of Medicine, IU Simon Cancer Center.
Bourff Sara, Indiana University School of Nursing.
References
- 1.Nystrom L, Andersson I, Bjurstam N, Frisell J, Nordenskjold B, Rutqvist LE. Long-term effects of mammography screening: updated overview of the Swedish randomised trials. Lancet. 2002;359(9310):909–919. doi: 10.1016/S0140-6736(02)08020-0. [DOI] [PubMed] [Google Scholar]
 - 2.Miller AB, To T, Baines CJ, Wall C. The Canadian National Breast Screening Study-1: breast cancer mortality after 11 to 16 years of follow-up. A randomized screening trial of mammography in women age 40 to 49 years. Ann Intern Med. 2002;137(5 Part 1):305–312. doi: 10.7326/0003-4819-137-5_part_1-200209030-00005. [DOI] [PubMed] [Google Scholar]
 - 3.Miller AB, Baines CJ, To T, Wall C. Canadian National Breast Screening Study: 2. Breast cancer detection and death rates among women aged 50 to 59 years. CMAJ. 1992;147(10):1477–1488. [PMC free article] [PubMed] [Google Scholar]
 - 4.Moss SM, Cuckle H, Evans A, Johns L, Waller M, Bobrow L. Effect of mammographic screening from age 40 years on breast cancer mortality at 10 years' follow-up: a randomised controlled trial. Lancet. 2006;368(9552):2053–2060. doi: 10.1016/S0140-6736(06)69834-6. [DOI] [PubMed] [Google Scholar]
 - 5.U.S. Preventive Services Task Force. Screening for Breast Cancer: U.S. Preventive Services Task Force Recommendation Statement. Ann Intern Med. 2009;151:716–726. doi: 10.7326/0003-4819-151-10-200911170-00008. [DOI] [PubMed] [Google Scholar]
 - 6.Weir HK, Thun MJ, Hankey BF, Ries LA, Howe HL, Wingo PA, Jemal A, Ward E, Anderson RN, Edwards BK. Annual report to the nation on the status of cancer, 1975–2000, featuring the uses of surveillance data for cancer prevention and control. J Natl Cancer Inst. 2003;95(17):1276–1299. doi: 10.1093/jnci/djg040. [DOI] [PubMed] [Google Scholar]
 - 7.Breen N, Cronin A, Meissner HI, Taplin SH, Tangka FK, Tiro JA, McNeel TS. Reported drop in mammography : is this cause for concern? Cancer. 2007;109(12):2405–2409. doi: 10.1002/cncr.22723. [DOI] [PubMed] [Google Scholar]
 - 8.Partin MR, Slater JS. Promoting repeat mammography use: insights from a systematic needs assessment. Health Educ Behav. 2003;30(1):97–112. doi: 10.1177/1090198102239261. [DOI] [PubMed] [Google Scholar]
 - 9.Breast Cancer Progress Review Group. Charting the course: priorities for breast cancer research. Report by the Breast Cancer Progress Review Group. Bethesda, MD: National Cancer Institute; 1998. [Google Scholar]
 - 10.Skinner CS, Pollak KI, Farrell D, Olsen MK, Jeffreys AS, Tulsky JA. Use of and reactions to a tailored CD-ROM designed to enhance oncologist-patient communication: the SCOPE trial intervention. Patient Educ Couns. 2009;77(1):90–96. doi: 10.1016/j.pec.2009.02.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 11.Campbell MK, DeVellis BM, Strecher VJ, Ammerman AS, DeVellis RF, Sandler RS. Improving dietary behavior: the effectiveness of tailored messages in primary care settings. Am J Public Health. 1994;84(5):783–787. doi: 10.2105/ajph.84.5.783. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 12.Strecher VJ, Kreuter M, Den Boer DJ, Kobrin S, Hospers HJ, Skinner CS. The effects of computer-tailored smoking cessation messages in family practice settings. J Fam Pract. 1994;39(3):262–270. [PubMed] [Google Scholar]
 - 13.Skinner CS, Strecher VJ, Hospers H. Physicians' recommendations for mammography: do tailored messages make a difference? Am J Public Health. 1994;84(1):43–49. doi: 10.2105/ajph.84.1.43. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 14.Skinner CS, Campbell MK, Rimer BK, Curry S, Prochaska JO. How effective is tailored print communication? Ann Behav Med. 1999;21(4):290–298. doi: 10.1007/BF02895960. [DOI] [PubMed] [Google Scholar]
 - 15.Gustafson DH, Hawkins RP, Boberg EW, Bricker E, Pingree S, Chan CL. The use and impact of a computer-based support system for people living with AIDS and HIV infection. Proc Annu Symp Comput Appl Med Care. 1994:604–608. [PMC free article] [PubMed] [Google Scholar]
 - 16.Gustafson DH, McTavish FM, Stengle W, Ballard D, Hawkins R, Shaw BR, Jones E, Julesberg K, McDowell H, Chen WC, Volrathongchai K, Landucci G. Use and Impact of eHealth System by Low-income Women With Breast Cancer. J Health Comm. 2005;10 Suppl 1:195–218. doi: 10.1080/10810730500263257. [DOI] [PubMed] [Google Scholar]
 - 17.Smith RA, Saslow D, Sawyer KA, Burke W, Costanza ME, Evans WP, III, Foster RS, Jr, Hendrick E, Eyre HJ, Sener S. American Cancer Society guidelines for breast cancer screening: update 2003. CA Cancer J Clin. 2003;53(3):141–169. doi: 10.3322/canjclin.53.3.141. [DOI] [PubMed] [Google Scholar]
 - 18.American Medical Association. Mammography Screening in Asymptomatic Women Forty Years and Older. Chicago: 2002. [Google Scholar]
 - 19.Feig SA, D'Orsi CJ, Hendrick RE, Jackson VP, Kopans DB, Monsees B, Sickles EA, Stelling CB, Zinninger M, Wilcox-Buchalla P. American College of Radiology guidelines for breast cancer screening. AJR Am J Roentgenol. 1998;171(1):29–33. doi: 10.2214/ajr.171.1.9648758. [DOI] [PubMed] [Google Scholar]
 - 20.DeFrank JT, Rimer BK, Gierisch JM, Bowling JM, Farrell D, Skinner CS. Impact of mailed and automated telephone reminders on receipt of repeat mammograms: a randomized controlled trial. Am J Prev Med. 2009;36(6):459–467. doi: 10.1016/j.amepre.2009.01.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 21.Boudreau DM, Luce CL, Ludman E, Bonomi AE, Fishman PA. Concordance of population-based estimates of mammography screening. Prev Med. 2007;45(4):262–266. doi: 10.1016/j.ypmed.2007.07.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 22.Clark MA, Rakowski W, Bonacore LB. Repeat mammography: prevalence estimates and considerations for assessment. Ann Behav Med. 2003;26(3):201–211. doi: 10.1207/S15324796ABM2603_05. [DOI] [PubMed] [Google Scholar]
 - 23.Champion VL, Skinner CS. The Health Belief Model. In: Glanz K, Rimer BK, Viswanath K, editors. Health Behavior and Health Education: Theory, Research and Practice. 4th Edition ed. San Francisco: Jossey-Bass; 2008. pp. 45–65. [Google Scholar]
 - 24.Prochaska JO, Redding CA, Evers KE. The Transtheoretical Model and Stages of Change. In: Glanz K, Rimer BK, Viswanath K, editors. Health Behavior and Health Education: Theory, Research, and Practice. 4th ed. San Francisco: Jossey-Bass; 2008. pp. 97–121. [Google Scholar]
 - 25.Champion VL, Skinner CS, Menon U, Seshadri R, Anzalone DC, Rawl SM. Comparisons of tailored mammography interventions at two months postintervention. Ann Behav Med. 2002;24(3):211–218. doi: 10.1207/S15324796ABM2403_06. [DOI] [PubMed] [Google Scholar]
 - 26.Champion V, Maraj M, Hui S, Perkins AJ, Tierney W, Menon U, Skinner CS. Comparison of tailored interventions to increase mammography screening in nonadherent older women. Prev Med. 2003;36(2):150–158. doi: 10.1016/s0091-7435(02)00038-5. [DOI] [PubMed] [Google Scholar]
 - 27.Champion V, Huster G. Effect of interventions on stage of mammography adoption. J Behav Med. 1995;18(2):169–187. doi: 10.1007/BF01857868. [DOI] [PubMed] [Google Scholar]
 - 28.Champion VL, Skinner CS, Foster JL. The effects of standard care counseling or telephone/in-person counseling on beliefs, knowledge, and behavior related to mammography screening. Oncol Nurs Forum. 2000;27(10):1565–1571. [PubMed] [Google Scholar]
 - 29.King ES, Rimer BK, Seay J, Balshem A, Engstrom PF. Promoting mammography use through progressive interventions: is it effective? Am J Public Health. 1994;84(1):104–106. doi: 10.2105/ajph.84.1.104. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 30.Skinner CS, Arfken CL, Sykes RK. Knowledge, perceptions, and mammography stage of adoption among older urban women. Am J Prev Med. 1998;14(1):54–63. doi: 10.1016/s0749-3797(97)00008-1. [DOI] [PubMed] [Google Scholar]
 - 31.Champion VL. The relationship of selected variables to breast cancer detection behaviors in women 35 and older. Oncol Nurs Forum. 1991;18(4):733–739. [PubMed] [Google Scholar]
 - 32.Vernon SW, Laville EA, Jackson GL. Participation in breast screening programs: a review. Soc Sci Med. 1990;30(10):1107–1118. doi: 10.1016/0277-9536(90)90297-6. [DOI] [PubMed] [Google Scholar]
 - 33.Schechter C, Vanchieri CF, Crofton C. Evaluating women's attitudes and perceptions in developing mammography promotion messages. Public Health Rep. 1990;105(3):253–257. [PMC free article] [PubMed] [Google Scholar]
 - 34.Lierman LM, Kasprzyk D, Benoliel JQ. Understanding adherence to breast self-examination in older women. West J Nurs Res. 1991;13(1):46–61. doi: 10.1177/019394599101300104. [DOI] [PubMed] [Google Scholar]
 - 35.Rimer BK, Davis SW, Engstrom PF, Myers RE, Rosan JR. Some reasons for compliance and noncompliance in a health maintenance organization breast cancer screening program. The Journal of Compliance in Health Care. 1988;3(2):103–114. [PubMed] [Google Scholar]
 - 36.Taplin SH, Montano DE. Attitudes, age, and participation in mammographic screening: a prospective analysis. Journal of the American Board of Family Practice. 1993;6:13–23. [PubMed] [Google Scholar]
 - 37.Rimer BK, Halabi S, Skinner CS, Lipkus IM, Strigo TS, Kaplan EB, Samsa GP. Effects of a mammography decision-making intervention at 12 and 24 months. Am J Prev Med. 2002;22(4):247–257. doi: 10.1016/s0749-3797(02)00417-8. [DOI] [PubMed] [Google Scholar]
 - 38.Champion VL, Springston JK, Zollinger TW, Saywell RM, Jr, Monahan PO, Zhao Q, Russell KM. Comparison of three interventions to increase mammography screening in low income African American women. Cancer Detect Prev. 2006;30(6):535–544. doi: 10.1016/j.cdp.2006.10.003. [DOI] [PubMed] [Google Scholar]
 - 39.Avis NE, Smith KW, Link CL, Goldman MB. Increasing mammography screening among women over age 50 with a videotape intervention. Prev Med. 2004;39(3):498–506. doi: 10.1016/j.ypmed.2004.05.024. [DOI] [PubMed] [Google Scholar]
 - 40.Champion V. Instrument development for health belief model constructs. Advances in Nursing Science. 1984;6(3):73–85. doi: 10.1097/00012272-198404000-00011. [DOI] [PubMed] [Google Scholar]
 - 41.Champion VL. Revised susceptibility, benefits, and barriers scale for mammography screening. Res Nurs Health. 1999;22(4):341–348. doi: 10.1002/(sici)1098-240x(199908)22:4<341::aid-nur8>3.0.co;2-p. [DOI] [PubMed] [Google Scholar]
 - 42.Champion VL, Skinner CS, Menon U, Rawl S, Giesler RB, Monahan P, Daggy J. A breast cancer fear scale: psychometric development. J Health Psychol. 2004;9(6):753–762. doi: 10.1177/1359105304045383. [DOI] [PubMed] [Google Scholar]
 - 43.Powe BD, Finnie R. Cancer fatalism: the state of the science. Cancer Nurs. 2003;26(6):454–465. doi: 10.1097/00002820-200312000-00005. [DOI] [PubMed] [Google Scholar]
 - 44.Skinner CS, Rawl SM, Moser BK, Buchanan AH, Scott LL, Champion VL, Schildkraut JM, Parmigiani G, Clark S, Lobach DF, Bastian LA. Impact of the Cancer Risk Intake System on patient-clinician discussions of tamoxifen, genetic counseling, and colonoscopy. J Gen Intern Med. 2005;20(4):360–365. doi: 10.1111/j.1525-1497.2005.40115.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
 - 45.Benjamini Y, Hochberg Y. Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B (Methodological) 1995;57(1):289–300. [Google Scholar]
 

