A targeted decision aid for the elderly to decide whether to undergo colorectal cancer screening: development and results of an uncontrolled trial
- Carmen L Lewis†1, 2Email author,
- Carol E Golin†1, 2,
- Chris DeLeon†2,
- Jennifer M Griffith†3,
- Jena Ivey†4,
- Lyndal Trevena†5 and
- Michael Pignone†1, 2
© Lewis et al; licensee BioMed Central Ltd. 2010
Received: 10 March 2010
Accepted: 17 September 2010
Published: 17 September 2010
Competing causes of mortality in the elderly decrease the potential net benefit from colorectal cancer screening and increase the likelihood of potential harms. Individualized decision making has been recommended, so that the elderly can decide whether or not to undergo colorectal cancer (CRC) screening. The objective is to develop and test a decision aid designed to promote individualized colorectal cancer screening decision making for adults age 75 and over.
We used formative research and cognitive testing to develop and refine the decision aid. We then tested the decision aid in an uncontrolled trial. The primary outcome was the proportion of patients who were prepared to make an individualized decision, defined a priori as having adequate knowledge (10/15 questions correct) and clear values (25 or less on values clarity subscale of decisional conflict scale). Secondary outcomes included overall score on the decisional conflict scale, and preferences for undergoing screening.
We enrolled 46 adults in the trial. The decision aid increased the proportion of participants with adequate knowledge from 4% to 52% (p < 0.01) and the proportion prepared to make an individualized decision from 4% to 41% (p < 0.01). The proportion that preferred to undergo CRC screening decreased from 67% to 61% (p = 0. 76); 7 participants (15%) changed screening preference (5 against screening, 2 in favor of screening)
In an uncontrolled trial, the elderly participants appeared better prepared to make an individualized decision about whether or not to undergo CRC screening after using the decision aid.
Colorectal cancer (CRC) screening is effective in decreasing disease-specific mortality in adults 50- 75 [1–3] but evidence about the effectiveness of CRC screening is limited for adults age 75 and older [4–7]. Extrapolating from trials in younger populations, it appears that factors, such as age and health status (and their effects on life expectancy) are important for determining whether older individuals could realize net benefit from CRC screening. The U.S. Preventive Services Task Force recommended in 2008 that persons aged 75 years and older not undergo routine CRC screening, indicating that the potential to benefit from screening should be considered at an individual level . Similarly other expert groups, including the American Cancer Society, and the American Geriatrics Society, recommend that decisions about whether or not to undergo cancer screening in older adults are individualized based on the expectation of benefit, burden and potential harms of screening, and patient preference [9, 10]. Taken together, guidelines suggest that decision making about whether or not to undergo CRC screening be individualized based on both: 1) consideration of the patients' health status and likely longevity; and 2) patient preferences about screening once they are informed about the potential benefits and harms.
Despite these recommendations evidence suggests that decision making for CRC screening in older adults could be improved . Ideally, individualized decision making would promote screening in those who are healthy and most likely to benefit, discourage screening in those with multiple co-morbid conditions who are most likely to be harmed from screening, and educate patients so that their preferences about whether or not to undergo screening are informed . However, observational data indicate no consistent association between screening test completion and health status [11–15]. Furthermore, older adults may be inadequately informed about the potential benefits and harms of cancer screening [16, 17], and the elderly may not understand the effect of competing causes of mortality on the net benefit from undergoing screening . Effective interventions to assure that patients are appropriately informed and have considered their personal preferences during colorectal cancer screening decision making are needed to ensure patients receive high-quality, guideline-concordant care.
One potential method for improving decision making is through the use of patient decision aids. In randomized controlled trials, use of decision aids compared to usual care has been shown to increase knowledge, decrease decisional conflict, reduce the proportion of people who are undecided, and increase the proportion who participate actively in decision making . However, to our knowledge only one decision aid has been designed to promote individualized decision making in older people, that being for mammography in older women .
Effective decision aids have been developed and tested to assist colorectal cancer screening decisions in middle-aged adults [21, 22]. These decision aids addressed decisions regarding CRC screening test choice. They did not target older adults for whom the decision of whether to undergo screening rests on how likely screening is to benefit an individual. Efforts to educate older adults about the efficacy of screening have been successful in increasing knowledge in adults age 65 and older [23–25], however, these studies were limited because the educational information provided did not consider health status. Additionally, neither study explicitly addressed patients' preferences by assessing their feelings about specific attributes of the screening decision.
To begin to address these gaps in the existing research, we sought to develop a targeted decision aid for adults age 75 and older designed to promote individualized decision making. Our goals for this study were to develop an acceptable, understandable decision aid and determine whether the decision aid could prepare older adults for individualized decision making. We first describe the steps we took to develop and formatively test and refine the content of the decision aid. Then, we report the results of an uncontrolled trial on several decision making outcomes among participants age 75 and older who used the decision aid. Because individualized decision making outcomes and processes could be influenced by participant characteristics, we also conducted exploratory analysis to assess whether these decision making outcomes were associated with participant characteristics, such as literacy, patient demographics, and health state.
The study was conducted in two phases, a developmental stage and a testing stage. For the developmental phase we evaluated the decision aid content using cognitive interviewing techniques. For the testing phase we determined the effect of the decision aid on several decision making outcomes, using a pre-post test design.
Recruitment and Eligibility
For the development phase, we recruited a convenience sample of participants from a local senior center. Older adults were eligible if they were age 75 and older and could read and speak English. We used two methods to recruit participants. We approached seniors at the center in person and invited them to participate. If they agreed and were eligible, the senior center provided a private room in which the participants and the research assistant could interact. In addition, we contacted elders who were participating in a pharmacist program of medication management. These elders qualified for the medication management program if they were homebound and on multiple medications. During one of her visits to the homes of elders participating in the medical management program, the pharmacist asked for their permission for us to contact them. If permission was granted, the pharmacist provided contact information to our research assistant who called potential participants at their homes. If they chose to participate, our research assistant (RA) arranged an appointment with them either in their home or at the senior center. For this phase of the study, there were 15 participants who were interviewed.
Decision Aid Development
We based the content of the decision aid on several conceptual frameworks. Walter and Convinsky proprosed a framework of individualized decision making for elders facing cancer screening decisions . They proposed that the decision about cancer screening in the elderly depends on an assessment of the potential net benefit from undergoing screening and patient preference. Underlying this individualized decision making framework for the elderly is the more general concept of informed decision making. For people to make an informed decision they must be aware of the risk, benefits, alternative, and uncertainties inherent in the medical decision [26–28] to develop tools to assist patients so that they can make informed medical decisions consistent with their personal values. Based on the Ottawa framework and internal standards for decision aid development  we developed two components for the decision aid, an educational component and a values clarification component.
There is a lack of direct research evidence supporting screening for those ages 75 and older; therefore, The American Cancer Society recommends that adults age 75 and older decide whether or not to get screened for colon cancer.
The risk of dying from CRC increases with age.
The risk of dying from of other common diseases also increases with age.
The importance of considering competing causes of mortality when determining whether CRC could be beneficial for older adults.
Colon cancer is relatively slow growing; people must be expected to live 5 to 10 years to have their life saved from colon cancer screening.
Using these messages, we performed the first round of cognitive interviews to refine the content of the elder-specific-decision aid messages. We tested whether participants: 1) could understand the information in each message; 2) found the information acceptable (and not offensive), and 3) thought the information was important to their decision about colorectal cancer screening. The messages were modified in an iterative fashion and cognitive interviews were continued until we reached saturation, that is we were not obtaining additional feedback. We completed a total of 15 cognitive interviews at this stage of development. The general concepts of the decision aid were understood by participants, thought to be important to decisions about CRC screening, and not found to be offensive to respondents.
Summary of the Educational Content of the Decision Aid by Section.
Title of Section
Summary of content
• American Cancer Society (ACS) recommends individualized decision making for older adults age 75 and over.
• This decision aid will help you think about whether colorectal cancer screening is the right choice for you.
Information about Colon Cancer Screening
• Colorectal cancer screening tests look for colon cancer before you have symptoms.
Two Main Types of Tests that Screen for Colon Cancer
• Colonoscopy is a procedure that requires preparation and occurs at the doctor's office.
• Stool cards can be done at home and returned to the doctor's office.
Those with cards positive for blood will need to have a colonoscopy.
Treatments People Undergo if Colon Cancer is Found
• Most people with invasive colon cancer will need surgery.
• Some people may need chemotherapy after surgery.
Colon Cancer Screening Recommendations Are Different for Older Adults
• As adults get older they are more likely to encounter numerous health problems that could affect their life expectancy.
• We are not sure whether screening is beneficial for those 75 years and older.
• That is why the ACS recommends older adults decide about colorectal cancer screening for themselves.
Why do Older Adults Need to Decide for Themselves about Colon Cancer Screening?
• The chances of getting a serious illness go up with increased age. Older adults are also more likely to develop colon cancer.
Life expectancies for older adults vary with the number of serious health problems.
• In most cases colon cancer grows slowly. If someone develops colon cancer today he may not have any problems for 5-10 years.
• Colon cancer screening will not help all older people. A person's life expectancy can be influenced by their current health condition.
• Older adults must deal with competing causes of death. Other health problems may lead to death before colon cancer.
• There is uncertainty about who will benefit. No one can know how long any individual will live.
Magnitude of potential benefit from colon cancer screening
• One life is extended for every 1000 people who are screened.
Risks to Consider in Making Your Decision about Colon Cancer Screening
• Pictograph (Figure 1) compares the risk of dying from heart disease, stroke or colon cancer over 10 years.
• Pictograph (Figure 2) compares the risk of having a complication (bleeding, perforation or death) after the first 30 days of a colonoscopy.
Balancing the Benefits and Risks of Colonoscopy in People age 75 and Older
• Figure 3 compares how a person's health can influence the balance between the benefits and risks of colon cancer screening.
Values Clarification Content
Statements Used in the Value Clarification Exercise.
For CRC Screening
Against CRC Screening
Risk of Cancer
It is important to me to get screened for colon cancer even though the risk of getting colon cancer is small.
It is not important for me to get screened for colon cancer because the risk of getting colon cancer is small.
I understand that the prep and colonoscopy can be difficult but I don't think it would bother me that much.
I understand that the prep and colonoscopy can be difficult and I think it would bother me.
Based on my present condition, colon cancer screening is important compared with other health concerns.
Based on my present condition, colon cancer screening is not important compared with other health concerns.
Other Screening Decisions
I like to prevent health problems before I have symptoms.
I don't like to look for health symptoms that aren't causing me problems.
I would want surgery if colon cancer was found even though it may not extend my life.
I would not want surgery if colon cancer was found even if there was a chance it could extend my life.
Getting colon cancer screening would give me peace of mind.
Getting colon cancer screening would not give me peace of mind.
Knowing I Have Cancer
I would want to know if I have cancer even if the cancer would not cause me any problems.
I do not want to know if I have cancer if the cancer would not cause me problems.
Complications From Screening
I am willing to take the risk of having a complication in order to have a chance to benefit from colon cancer screening.
I am not willing to take the risk of having a complication in order to have a chance to benefit from colon cancer screening.
It is important for me to be screened for colon cancer even though it is uncertain whether or not it will prolong my life.
It is not important for me to be screened for colon cancer because it is uncertain whether or not it will prolong my life.
Final Content of the Decision Aid
Testing Phase: Uncontrolled Trial
Recruitment and Eligibility
We recruited patients for the uncontrolled trial using the same methods described above. We recruited only those who had not participated in the formative testing. For the uncontrolled trial additional measures were obtained. The RA administered the Short Test of Functional Health Literacy in Adults , the Four Year Mortality Index , and a check list of medical conditions based on the Charlson Co-morbidity Index . To exclude older adults with life expectancies of less than two years who would be unlikely benefit from screening, we planned to exclude people who reported end stage renal disease on dialysis, all oxygen dependent conditions, severe congestive heart failure, or terminal cancer but none that we recruited had these severe conditions. We also excluded people with a self-reported history of colon cancer. We screened potential participants for dementia using the Callahan's six item screen, a validated instrument, and excluded those with positive results.
Measures and Procedures
Outcomes for the Uncontrolled Trial
Our primary outcome was defined as the proportion of patients who were prepared to make an individualized decision of whether or not to undergo CRC screening. This outcome was based on the informed decision making model in which patients are adequately informed about the risks and benefits of screening and have considered their personal values about the decision . Mathieu and colleagues developed this combined measure using knowledge and clear values for mammography screening in the elderly . For our study, we defined a priori 67% (10/15 questions correct) as adequate knowledge and clear values as 25 or less on values clarity subscale of decisional conflict scale because this cut point represents clear values. Secondary outcomes included the individual's knowledge and the clear values subscale, overall score on the decisional conflict scale, and whether or not they preferred to undergo screening. We also compared the results of the card-sorting values clarification exercise verbally with participants to determine agreement with their stated preference.
We performed exploratory analyses to test whether our primary and secondary outcomes varied according to some key co-variables that could have an effect on either decision making outcomes or screening preference, including literacy, health state, 4-year mortality index, number of chronic conditions, previous CRC screening, and demographic characteristics, such as age, gender, race, education, and income.
Perceptions of the Decision Aid
In addition, we asked questions to determine participants' perceptions of the decision aid and to identify areas that may need to be revised. We asked them to rate each of the six sections of the decision aid and the values clarification exercise using a 4 point Likert scale from poor to excellent. Finally, we asked about the length, the amount of information and whether the decision aid was useful.
First, we calculated frequencies for categorical data. To test the differences in responses to questions before and after the decision aid, we used McNemar's test for categorical measures and paired t-tests for continuous measures. To assess associations between participant characteristics and post-decision aid outcomes (knowledge, clear values, prepared to make an informed decision, and screening intent), we used Pearson's chi-square or Fisher's exact tests for categorical data and t-tests for continuous data.
The study was approved by the Institutional Review Board at the University of North Carolina at Chapel Hill. Participants received $25 for their participation.
Participant Characteristics n = 46.
Mean age (range)
High school graduate or less
Some college or more
Previous CRC Screening
Number of co-morbidities
Self Reported Health Status
Four year mortality index
< 4% risk
Uncontrolled Trial Outcomes
Primary Outcome: Proportion prepared to make an individualized decision
Our a priori criteria for classifying participants who were prepared to make an individualized decision included 1) adequate knowledge defined as 67% of the true/false questions answered correctly (10 of 15 questions correct) and clear values defined as 25 or less on values clarity subscale of decisional conflict scale. Using these two thresholds, 4% were prepared to make an individualized decision before the decision aid and after using the decision aid, 41% fulfilled the criterion (p < 0.01).
The decision aid increased overall knowledge of colon cancer screening. At baseline 4% of the respondents reached the threshold for adequate knowledge by responding to 10 of the 15 true/false knowledge questions correctly. After exposure to the decision aid 52% of the respondents reached this knowledge threshold (p < 0.01). For five of the knowledge questions 70% or more of respondents responded correctly to the questions at baseline: 1) The longer a person lives the more likely they are to benefit; 2) Screening is a choice; 3) CRC screening tests look for cancer before they have symptoms; 4) During a colonoscopy polyps can be removed; and 5) Life expectancy is influenced by current health status (Figure 4). For these questions the increase in the proportion of people answering correctly after the decision aid was modest. For seven of the knowledge questions the proportion of participants who responded correctly increased by 25% or more after using the decision aid. These included the following constructs: 1) No direct evidence supports screening for adults ages 75 and older; 2) ACS recommendations for elderly 3) People in poor health are not likely to benefit from colon cancer screening 4) Risk of dying from heart disease is greater than dying from colon cancer 5) People need to live five years to benefit from screening 6) Growth rate of CRC 7) Positive FOBT cards require colonoscopy.
The proportion of respondents having clear values increased after viewing the decision aid, but the change was not statistically significant. (28 of 46 (61%) before vs. 32 of 46 (70%) after), Ten participants changed their clear value categories, 7 were unclear before the using the decision aid and became clear after using it while 3 were clear before the decision aid and unclear after its use (p = 0.27). Evaluating the full decisional conflict scale demonstrated a decrease in decisional conflict score after using the decision aid (mean score 34 vs 28 p < 0.01).
When we asked participants prior to the decision aid, 31 (67%), participants indicated that they preferred to undergo screening and after the using the decision aid 28 (61%) preferred to do so. Seven participants (15%) changed their screening intent after using the decision aid, with 5 deciding against screening after the decision aid and 2 changing in favor of screening. (p = 0.76).
Values Clarification Exercise
Participants' Characteristics Associated with Outcomes
Associations between Participant Characteristics and Outcomes.
Percent Reaching Knowledge Threshold
Percent Reaching Clear Value Threshold
Percent Prepared to Make an Individualized Decision
Percent Reporting a Preference to be Screened
< 83 (n = 22)
≥ 83 (n = 24)
Women (n = 39)
Men (n = 7)
White (n = 34)
African-American (n = 11)
Other (n = 1)
High School graduate or less (n = 19)
Some College or more (n = 27)
Previous CRC screening
Yes (n = 30)
No (n = 16)
Adequate (n = 28)
Marginal/Inadequate (n = 16)
Self-reported health status
excellent/very good (n = 20)
good/fair/poor (n = 26)
0-2 (n = 5)
3-7 (n = 27)
8 or more (n = 14)
4 year mortality index
< 4% (n = 5)
15% (n = 18)
42% (n = 17)
64% (n = 6)
Participants' Perceptions of the Decision Aid
Forty-one (89%) of the participants reported that the decision aid was useful. All six of the sections of the decision aid and the values clarification exercise were highly rated with 38 to 43 of the participants ranking each of the sections good to excellent. Thirty-seven participants (81%) thought the amount of information was just right while 5 participants (11%) thought that there was too little information.
During the development phase of the decision aid, we found that participants understood the key messages, thought the information was important, and did not find the information offensive. During the testing phase, participants reported that the decision aid was useful and rated the each of the sections highly. The results of our uncontrolled trial demonstrated that participants were better prepared to make an individualized decision, our primary outcome, after using the decision aid than before its use. The improvement was due primarily to an improvement in knowledge scores after decision aid use, as little change in the value sub-scale of the decisional conflict scale was noted. Participants also had a decrease in overall decisional conflict after using the decision aid. Our exploratory analyses reveal some areas of future study. Specifically, participants with inadequate or marginal literacy did not demonstrate as great an improvement in knowledge than those with higher literacy. Similarly, those in poorer health state (either by self report or the 4 year mortality index) appeared to have less clear values about screening than those in better health.
Previous studies have evaluated educational materials about cancer screening in older adults. Wolf and colleagues found that older adults were able to comprehend information about the efficacy of CRC for people of all ages. However, specific information regarding differences in potential benefits due to advanced age or health state were not provided . Resnick found that when older adults where encouraged to consider not only the advantages but also the disadvantages of health promotion activities like CRC screening, they may be less willing to undergo screening . However, participants' understanding of the information was not formally evaluated, so it is unclear whether understanding the risks and benefits changed their screening intent.
In this study, we developed a decision aid which was composed of both an educational component and a values clarification exercise consistent with international standards of decision aid development . Importantly, the information in the decision aid was targeted to participants' age and gender. Targeting is important for this decision because the likelihood of benefiting from screening depends on an individual's risk of competing causes of mortality which varies by age and gender.
Developing effective interventions to promote individualized decision making about cancer screening in the elderly is important to improve their decision making. Available data suggests suboptimal decision making is ongoing, despite expert groups' recommendations for individualized decisions in this age group. Recent data from the V.A. demonstrates that screening test completion among the healthiest veterans age 70 and older was similar to those in the poorest health; 47% compared to 41% respectively . This could lead to net harm in those who are unlikely to benefit, as they are exposed to the risks of screening without the potential to benefit. Furthermore, those who could benefit from screening may not get the opportunity to complete screening tests if they are not offered screening tests because of their advanced age.
Interventions, such our decision aid, that target older adults and inform them about the risks and the benefits of CRC screening relevant to their situation and have individuals consider their personal preferences have the potential to improve the decision making process in clinical practice. This study is the first step to test this hypothesis. In this uncontrolled trial, improvement in knowledge of key facts needed to make an informed yet individualized decision about CRC in older adults was encouraging. However, the decision aid will need to be revised to more effectively reach inadequate and marginal literacy users as well as those in poorer health states.
The majority of the participants (61%) in this study reached the threshold for clear values before the decision aid with a 9% increase after using the decision aid. There are several potential reasons for this small change. First, the decision aid could have had little effect on helping participants clarify their values. Another possibility is that the participants were already clear about which course to take. A randomized controlled trial of a decision aid for breast cancer screening in women age 70 and older also had a high proportion of participants (> 80%) with clear values in both the intervention and control arms . More than 80% in both groups reported that they would continue screening, suggesting perhaps that this population was clear that they wanted to continue screening. However, the investigators did not assess whether screening intent varied with health state or increasing age. Although the numbers are small, our data suggest that those who have shorter life expectancies, estimated by the 4 year mortality index, have less clear values. Being informed about the decreased benefit and increased risks of screening with increasing age could have created some cognitive dissonance about what they believe about CRC screening. In our future work, we plan to address this question in a larger sample.
The uncontrolled trial was designed as a pilot test of the decision aid we developed. Obviously, further testing is needed before definitive conclusions can be made. There are several limitations that deserve consideration in addition to those already mentioned. Although we used formative work to develop the content of the educational material and the values clarification exercise, additional information may be important to older adults making decisions about CRC screening that we have not captured. The study was limited by its uncontrolled design. The differences we saw could theoretically be due to temporal trends, but the time between the pre and post surveys was short, so we think this is unlikely. It is also possible that participants could have answered the follow up questions in socially desirable ways. This seems unlikely for the knowledge questions but could be possible for the values subscale questions. On the other hand, we demonstrated that we were able to recruit participants with advanced age and a wide distribution of health states, which will be key in future studies. This task can be challenging because often elderly patients who have numerous co-morbidities often opt out of participating in research studies. Finally, we explored potentially important associations between participant characteristics and outcomes. In doing so, we performed multiple comparisons; therefore, caution should be used in interpreting these preliminary results as some of the associations we found could have occurred by chance. Additional research is needed assess these associations with larger samples.
In summary, we found that the targeted decision aid designed to assist the elderly in deciding whether or not to undergo colorectal cancer screening was acceptable and useful to participants. In an uncontrolled trial, the participants appeared better prepared to make an individualized decision about screening. Additional research is needed to determine whether the targeted decision aid would be useful in a clinical setting to prepare patients for discussions with medical providers.
The University of North Carolina Lineberger Comprehensive Cancer Center funded this study. Dr. Lewis was supported by a K07 Mentored Career Development Award (5K07CA104128) from the National Cancer Institute. Dr. Pignone was also supported by a National Cancer Institute Established Investigator Award (K05 CA129166) and the Foundation for Informed Medical Decision Making. The funding sources had no role in the design, conduct, or reporting of the study or in the decision to submit the article for publication.
- Kronborg O, Fenger C, Olsen J, Jorgensen OD, Sondergaard O: Randomised study of screening for colorectal cancer with faecal-occult-blood test. Lancet. 1996, 348 (9040): 1467-1471. 10.1016/S0140-6736(96)03430-7.View ArticlePubMedGoogle Scholar
- Selby JV, Friedman GD, Quesenberry CP, Weiss NS: A case-control study of screening sigmoidoscopy and mortality from colorectal cancer. N Engl J Med. 1992, 326 (10): 653-657. 10.1056/NEJM199203053261001.View ArticlePubMedGoogle Scholar
- Mandel JS, Bond JH, Church TR, Snover DC, Bradley GM, Schuman LM, Ederer F: Reducing mortality from colorectal cancer by screening for fecal occult blood. Minnesota Colon Cancer Control Study. N Engl J Med. 1993, 328 (19): 1365-1371. 10.1056/NEJM199305133281901.View ArticlePubMedGoogle Scholar
- Gross CP, McAvay GJ, Krumholz HM, Paltiel AD, Bhasin D, Tinetti ME: The effect of age and chronic illness on life expectancy after a diagnosis of colorectal cancer: implications for screening. Annals of internal medicine. 2006, 145 (9): 646-653.View ArticlePubMedGoogle Scholar
- Walter LC, Lewis CL, Barton MB: Screening for colorectal, breast, and cervical cancer in the elderly: a review of the evidence. Am J Med. 2005, 118 (10): 1078-1086. 10.1016/j.amjmed.2005.01.063.View ArticlePubMedGoogle Scholar
- Walter LC, Covinsky KE: Cancer screening in elderly patients: a framework for individualized decision making. JAMA. 2001, 285 (21): 2750-2756. 10.1001/jama.285.21.2750.View ArticlePubMedGoogle Scholar
- Lin OS, Kozarek RA, Schembre DB, Ayub K, Gluck M, Drennan F, Soon MS, Rabeneck L: Screening colonoscopy in very elderly patients: prevalence of neoplasia and estimated impact on life expectancy. Jama. 2006, 295 (20): 2357-2365. 10.1001/jama.295.20.2357.View ArticlePubMedGoogle Scholar
- Screening for colorectal cancer. [http://www.ahrq.gov/clinic/uspstf/uspscolo.htm]
- AGS: Health screening decisions for older adults: AGS position paper. Journal of the American Geriatrics Society. 2003, 51 (2): 270-271. 10.1046/j.1532-5415.2003.51069.x.View ArticleGoogle Scholar
- Levin B, Lieberman DA, McFarland B, Andrews KS, Brooks D, Bond J, Dash C, Giardiello FM, Glick S, Johnson D: Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. Gastroenterology. 2008, 134 (5): 1570-1595. 10.1053/j.gastro.2008.02.002.View ArticlePubMedGoogle Scholar
- Walter LC, Lindquist K, Nugent S, Schult T, Lee SJ, Casadei MA, Partin MR: Impact of age and comorbidity on colorectal cancer screening among older veterans. Annals of internal medicine. 2009, 150 (7): 465-473.View ArticlePubMedPubMed CentralGoogle Scholar
- Burack RC, Gurney JG, McDaniel AM: Health status and mammography use among older women. J Gen Intern Med. 1998, 13 (6): 366-372. 10.1046/j.1525-1497.1998.00116.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Caplan LS, Haynes SG: Breast cancer screening in older women. Public Health Rev. 1996, 24 (2): 193-204.PubMedGoogle Scholar
- Heflin MT, Oddone EZ, Pieper CF, Burchett BM, Cohen HJ: The effect of comorbid illness on receipt of cancer screening by older people. Journal of the American Geriatrics Society. 2002, 50 (10): 1651-1658. 10.1046/j.1532-5415.2002.50456.x.View ArticlePubMedGoogle Scholar
- Kiefe CI, Funkhouser E, Fouad MN, May DS: Chronic disease as a barrier to breast and cervical cancer screening. J Gen Intern Med. 1998, 13 (6): 357-365. 10.1046/j.1525-1497.1998.00115.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Burack RC, George J, Gurney JG: Mammography use among women as a function of age and patient involvement in decision-making. Journal of the American Geriatrics Society. 2000, 48 (7): 817-821.View ArticlePubMedGoogle Scholar
- Lafata JE, Divine G, Moon C, Williams LK: Patient-Physician Colorectal Cancer Screening Discussions and Screening Use. American journal of preventive medicine. 2006, 31 (3): 202-209. 10.1016/j.amepre.2006.04.010.View ArticlePubMedPubMed CentralGoogle Scholar
- Lewis CL, Kistler CE, Amick HR, Watson LC, Bynum DL, Walter LC, Pignone MP: Older adults' attitudes about continuing cancer screening later in life: a pilot study interviewing residents of two continuing care communities. BMC Geriatr. 2006, 6: 10-10.1186/1471-2318-6-10.View ArticlePubMedPubMed CentralGoogle Scholar
- O'Connor AM, Bennett CL, Stacey D, Barry M, Col NF, Eden KB, Entwistle VA, Fiset V, Holmes-Rovner M, Khangura S: Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2009, 3: CD001431-PubMedGoogle Scholar
- Mathieu E, Barratt A, Davey HM, McGeechan K, Howard K, Houssami N: Informed choice in mammography screening: a randomized trial of a decision aid for 70-year-old women. Archives of internal medicine. 2007, 167 (19): 2039-2046. 10.1001/archinte.167.19.2039.View ArticlePubMedGoogle Scholar
- Dolan JG, Frisina S: Randomized controlled trial of a patient decision aid for colorectal cancer screening. Med Decis Making. 2002, 22 (2): 125-139.View ArticlePubMedGoogle Scholar
- Pignone M, Harris R, Kinsinger L: Videotape-based decision aid for colon cancer screening. A randomized, controlled trial. Annals of internal medicine. 2000, 133 (10): 761-769.View ArticlePubMedGoogle Scholar
- Wolf AM, Becker DM: Cancer screening and informed patient discussions. Truth and consequences. Archives of internal medicine. 1996, 156 (10): 1069-1072. 10.1001/archinte.156.10.1069.View ArticlePubMedGoogle Scholar
- Resnick B: Health promotion practices of older adults: testing an individualized approach. J Clin Nurs. 2003, 12 (1): 46-55. 10.1046/j.1365-2702.2003.00700.x. discussion 56View ArticlePubMedGoogle Scholar
- Resnick B: Health promotion practices of older adults: model testing. Public Health Nurs. 2003, 20 (1): 2-12. 10.1046/j.1525-1446.2003.20102.x.View ArticlePubMedGoogle Scholar
- Marteau TM, Dormandy E, Michie S: A measure of informed choice. Health Expect. 2001, 4 (2): 99-108. 10.1046/j.1369-6513.2001.00140.x.View ArticlePubMedGoogle Scholar
- Braddock CH, Fihn SD, Levinson W, Jonsen AR, Pearlman RA: How doctors and patients discuss routine clinical decisions. Informed decision making in the outpatient setting. J Gen Intern Med. 1997, 12 (6): 339-345.PubMedPubMed CentralGoogle Scholar
- Braddock CH: Advancing the cause of informed consent: moving from disclosure to understanding. Am J Med. 1998, 105 (4): 354-355. 10.1016/S0002-9343(98)00271-X.View ArticlePubMedGoogle Scholar
- Elwyn G, O'Connor A, Stacey D, Volk R, Edwards A, Coulter A, Thomson R, Barratt A, Barry M, Bernstein S: Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ (Clinical research ed. 2006, 333 (7565): 417-10.1136/bmj.38926.629329.AE.View ArticleGoogle Scholar
- Woloshin S, Schwartz LM, Welch HG: Risk charts: putting cancer in context. J Natl Cancer Inst. 2002, 94 (11): 799-804.View ArticlePubMedGoogle Scholar
- Aguirre AC, Ebrahim N, Shea JA: Performance of the English and Spanish S-TOFHLA among publicly insured Medicaid and Medicare patients. Patient education and counseling. 2005, 56 (3): 332-339. 10.1016/j.pec.2004.03.007.View ArticlePubMedGoogle Scholar
- Lee SJ, Lindquist K, Segal MR, Covinsky KE: Development and validation of a prognostic index for 4-year mortality in older adults. Jama. 2006, 295 (7): 801-808. 10.1001/jama.295.7.801.View ArticlePubMedGoogle Scholar
- Katz JN, Chang LC, Sangha O, Fossel AH, Bates DW: Can comorbidity be measured by questionnaire rather than medical record review?. Medical care. 1996, 34 (1): 73-84. 10.1097/00005650-199601000-00006.View ArticlePubMedGoogle Scholar
- Callahan CM, Unverzagt FW, Hui SL, Perkins AJ, Hendrie HC: Six-item screener to identify cognitive impairment among potential subjects for clinical research. Medical care. 2002, 40 (9): 771-781. 10.1097/00005650-200209000-00007.View ArticlePubMedGoogle Scholar
- O'Connor AM: Validation of a decisional conflict scale. Med Decis Making. 1995, 15 (1): 25-30. 10.1177/0272989X9501500105.View ArticlePubMedGoogle Scholar
- Centers for Disease Control and Prevention (CDC). [http://www.cdc.gov/brfss/questionnaires/pdf-ques/2006brfss.pdf]
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6947/10/54/prepub