Abstract
Objective
Screening mammography is associated with reduced breast cancer-specific mortality; however, among older women, evidence suggests that the potential harms of screening may outweigh the benefits. We used a qualitative approach to examine the willingness of older women from different racial/ethnic groups to discontinue breast cancer screening.
Methods
Women ≥70 years of age who reported having a screening mammogram in the past three years and/or reported that they intended to continue screening in the future were recruited for in-depth interviews. Participants who intended to continue screening were asked to describe how the following hypothetical scenarios would impact a decision to discontinue screening: health concerns or limited life expectancy, a physician’s recommendation to discontinue, reluctance to undergo treatment, and recommendations from experts or governmental panels to stop screening. Semi-structured, face-to-face interviews were audio-recorded. Data coding and analysis followed inductive and deductive approaches.
Results
Regardless of the scenario, participants (n=29) expressed a strong intention to continue screening. Based on the hypothetical physician recommendations, intentions to continue screening appeared to remain strong. They did not envision a change in their health status that would lead them to discontinue screening and were skeptical of expert/government recommendations. There were no differences observed according to age, race/ethnicity, or education.
Conclusions
Among older women who planned to continue screening, intentions to continue breast cancer screening appear to be highly resilient and resistant to recommendations from physicians or expert/government panels.
Keywords: aged, breast cancer, cancer, cultural diversity, early detection of cancer, race/ethnicity, oncology, qualitative, women
BACKGROUND
In the United States (U.S.), 63% of adult women aged 65 years and older report having had a breast cancer screening mammogram in the past two years.1 Even among women 75 years and older, screening mammography is common, with over half (51.5%) reporting screening in the past two years. While breast cancer screening mammography is associated with reduced breast cancer-specific mortality in women aged 50 to 74 years,2 evidence suggests that for older women, the harms of screening may outweigh the benefits.3,4 Professional guidelines are inconsistent in how they address breast cancer screening in older women. Concerns about potential harms of screening (e.g., false positives, overdiagnosis, overtreatment) contribute to the notable differences in published screening guidelines for women over the age of 70.3–7 For example, the American Cancer Society (ACS) offers a qualified recommendation to discontinue screening mammography for women aged 55 years and older when life expectancy is less than 10 years.8 The U.S. Preventive Services Task Force (USPSTF) provides a Grade I (insufficient evidence) recommendation for women aged 75 years or older.9
Differences in U.S. breast cancer screening guidelines have led to contentious debate among experts, policy makers, and the general public. In 2009, the updated USPSTF mammography guidelines, which recommended screening every two years starting at age 50, was met with such public and political resistance that during the development of the Patient Protection and Affordable Care Act (ACA) a coverage exception was granted exclusively for breast cancer screening.10,11 This dialogue surrounding screening coverage highlights persistent concerns regarding the challenges associated with communication about both the benefits and harms of screening.4,10,12,13 As disagreement surrounding guidelines is hardly a new phenomenon, it may be particularly difficult for women over the age of 70 to determine their optimal screening schedule as they may be susceptible to some of the effects associated with aging, such as multiple comorbidities, competing mortality causes, decreased physical functioning, and individual preferences based on quality of life factors.10,14–18
The current study used a qualitative approach to examine racially/ethnically diverse, older women’s perceptions about breast cancer screening discontinuation. This is part of a larger project that investigated older women’s motivations for either continuing or discontinuing screening, their understanding of the concept of overdiagnosis, and their preferences for communication about screening. Specifically, this project explored circumstances that might lead older women from diverse racial/ethnic groups who intend to continue screening to consider discontinuation of screening and possible resistance to discontinuation.
METHODS
Study Design
Participants were identified and recruited using community outreach in Houston and Galveston, Texas between May 2013 and May 2015 as part of a larger study. Eligibility criteria were: female; at least 70 years old; and no personal history of breast cancer. A non-proportional quota sampling technique was used to ensure that the sample consisted of participants with roughly equal numbers in age (i.e., 70–74 years, ≥75 years), race/ethnicity (i.e., Non-Hispanic White [NHW], Non-Hispanic Black [NHB], Hispanic/Latina), and educational attainment (i.e., ≤high school diploma or GED, >high school diploma or GED). If participants were eligible based on screening criteria, research staff determined eligibility based on meeting targeted quotas for age, race/ethnicity, and educational attainment. Non-proportional quota sampling is useful when recruiting participants from populations that are traditionally underrepresented in research, such as racial/ethnic minorities or those with low education, and enables researchers to investigate differences by variables of interest.19 Eligible participants were scheduled to participate in individual, in-depth interviews.
Procedure
This study was guided by the Integrative Model of Behavior Prediction (IMB), a behavior change theory suggesting that attitudes, perceived norms, and self-efficacy influence intentions, and intentions influence engagement in a particular behavior.20 Semi-structured interview questions were developed iteratively and pilot tested by two researchers with extensive qualitative experience (KS and SW). Face-to-face interviews were conducted and audio-recorded at locations convenient for participants (e.g., senior living facilities, community centers, churches, a geriatric clinic) by a female research assistant with experience in conducting qualitative research. During the interviews, participants were asked whether or not they had ever had a screening mammogram and, when applicable, were probed on their intent to continue breast cancer screening in the future. Of the 59 total participants, 29 women who intended to continue screening were included, of which the majority had been screened recently (≤3 years; n=26). Interviews lasted approximately 60 minutes.
Participants were asked about circumstances, based on questions developed by Torke et al.,16 that would lead them to stop having breast cancer screening mammograms, using eight scenarios: 1) having other medical conditions; 2) having severe memory problems; 3) living in a nursing home; 4) having a life expectancy of less than 5 years; 5) recommendations by experts or governmental panels; 6) if doctor said they would not live long enough to benefit; 7) if doctor said mammogram would not make them live longer; and 8) if they were not willing to undergo treatment for breast cancer (Table 2). In addition, participants were asked to rate their health as very poor, poor, fair, good or excellent.
Table 2.
What circumstances would lead you to stop having mammograms? |
---|
Health Status and Life Expectancy |
1. Having other medical condition |
2. Having severe memory problems |
3. Living in a nursing home |
4. Having a life expectancy of <5 years |
Doctor’s Recommendation |
5. Doctor said you would not live long enough to benefit |
6. Doctor said mammogram would not make you live longer |
Preferences for Treatment |
7. Not willing to undergo treatment for breast cancer |
Expert/Government Recommendation |
8. Screening recommendations by experts or governmental panels |
The University’s Institutional Review Board (IRB) approved this study (IRB Number: 13-0289). All study participants provided verbal informed consent to participate and were compensated for their time with gift cards.
Qualitative Data Analyses
Recorded interviews were transcribed verbatim using a professional transcription service and analyzed using QSR International’s NVivo 10 software. Analysis used a qualitative descriptive approach, as described by Sandelowski.21,22 This approach is rooted in principles of naturalistic inquiry and provides rich descriptive content from participants’ experiences and perspectives.23 Coding and analysis followed a deductive approach. Codes were defined using a structured codebook.
Perspectives on discontinuing mammography screening using the eight scenarios were coded by the research assistant and the study PI (MRP) into the following categories: yes (if the scenario would make them stop screening using a mammogram), no (if the scenario would have no effect on their continuation), maybe (if a particular scenario may stop them getting a screening mammogram based on any conditions they may have expressed in the interview), I don’t know (if they were not sure if the scenario would stop them from getting a screening mammogram), and not applicable (if the participant did not answer the questions or the scenario was not presented to the participant).
Themes, subthemes, and quotations were checked for coding consistency by the study PI (MRP) and a coder (SK) by reviewing the transcripts and the coded data. Any coding disagreements were resolved through discussion until the primary coders (MRP and SK) and a third coder (SW) reached consensus. Moreover, the three coders performed coding and data audits to ensure qualitative rigor. Potential differences according to age, education, and race/ethnicity were examined.
RESULTS
Participants
Of the 29 participants, 18 (62%) were between the ages of 70–74 years (Table 1). Most (41%) were NHB, approximately one-third (31%) were NHW, and one-third (28%) were Hispanic/Latina. Just over half (52%) were categorized as “high” education (>high school diploma or GED), and most (69%) stated that their health was either “excellent” or “good.” For the purposes of this analysis, the eight scenarios have been clustered into four thematic scenarios: 1) health status and life expectancy, 2) doctor’s recommendation, 3) preferences for treatment, and 4) expert/governmental panel recommendation. It should be noted that there were no significant thematic differences according to age, race/ethnicity, or education.
Table 1.
Demographic Characteristic n=29 |
Total n (%) |
---|---|
Age in years, Mean (SD) | 74.5 (4.1) |
70–74 years | 18 (62.1) |
≥ 75 years | 11 (37.9) |
Race/ethnicity | |
Hispanic/Latina | 8 (27.6) |
Non-Hispanic Black | 12 (41.4) |
Non-Hispanic White | 9 (31.0) |
Education | |
Low Education† | 14 (48.3) |
High Education‡ | 15 (51.7) |
Health Status | |
Fair | 9 (31.0) |
Good | 16 (55.2) |
Excellent | 4 (13.8) |
Note: All results are presented as number and percentage unless noted otherwise.
Low education was defined as completing high school or less
High education was defined as education beyond high school
Abbreviations: SD=standard deviation.
Health Status and Life Expectancy Scenarios
Having other medical conditions
Nearly two-thirds of participants reported that they would continue screening even if they were diagnosed with a medical condition other than breast cancer. For example, one woman (P5, 73 years, NHB, High Education) stated, “Well I don’t think anything would make me stop. I can’t think of any ailments that would make me stop.” Similarly, another woman (P50, 74 years, Hispanic/Latina, Low Education) said, “Would it [other conditions] stop me? No.”
Experiencing severe memory problems
Participants reported that they would not consider discontinuing screening even if they began experiencing severe memory problems. Instead, they reported that they would continue screening and believed that their families would support this decision. One woman (P27, 75 years, NHW, High Education) stated, “…my daughter would insist [that I continue screening]. She is a nurse and she insists…” Another woman (P58, 80 years, Hispanic/Latina, High Education) said, “No [I would not stop mammograms] because [I would do] anything that is going to help me. Memory has nothing to do with… cancer.” One woman (P51, 80 years, NHW, Low Education) noted that she already experienced difficulty with her memory, and that this did not keep her from getting mammograms. She said, “I have memory problems, they don’t stop me from having them [mammograms], you know.”
Living in a nursing home
More than half of participants stated that living in a nursing home would not prevent them from continuing to get screening mammograms. They cited that routine and family obligation were reasons to continue. One woman (P4, 78 years, NHW, Low Education) stated, “Yes, if they thought it [mammogram] was a routine, a precaution or early detection of anything. I wouldn’t care if I was 100. If they thought well this [mammogram] is something we still do because it’s [cancer] still happening to older ladies, I would say go ahead, do it.” Another woman (P62, 71 years, NHB, High Education) said, “… I just hope that if I'm not able [to get a mammogram], if I have dementia or whatever, my daughters will help me, take me through that.”
Life expectancy of less than five years
Participants stated that they would continue to get screening mammograms even if they had less than five years to live. For instance, one woman (P61, 70 years, NHW, High Education) said, “Knowing that there might be a possibility, no matter what age you are or what year it is, that it could… [be cancer]… I would still, I believe at this point, want to have it [a mammogram] done.” Another woman (P49, 75 years, Hispanic/Latina, Low Education) expressed her motivation to continue screening as a way of preventing or delaying death, “You fight for your life… Any way, anywhere…”
Doctor’s Recommendation Scenarios
Being told they would not live long enough to benefit
Participants were reluctant to consider changing their screening behaviors based solely on a doctors’ recommendation that they would not live long enough to benefit. One woman (P7, 72 years, Hispanic/Latina, High Education) stated, “No because they [doctors] don’t know. They don’t know when my expiration date… only that one [God] knows when my expiration date is up.” Moreover, another woman (P62, 71 years, NHB, High Education) said, “No. It wouldn't influence me, because nobody can't say who going to live and who not going to live. That's in God's hands.”
Being told screening would not extend life
Participants indicated that they would continue mammograms even if a physician told them that it would not increase their life expectancy. These participants said that they might even question the doctors’ advice. One woman (P61, 70 years, NHW, High Education) said, “Just because that doctor says it does not mean that's the gospel. If it's not going to hurt you, you're not taking any medicine, it's just someone examining you. I would want to have it done.” Another woman (P20, 73 years, NHB, High Education) stated, “I just cannot imagine a doctor saying that a test would not prolong your life.”
Preferences for Treatment Scenarios
Not be willing to undergo treatment for breast cancer
Participants responded that they would continue screening mammograms even if they did not plan to undergo treatment. One woman (P34, 76 years, NHB, Low Education) said, “No, I don’t think it [not willing to undergo treatment] would [stop me from getting mammograms].” Another woman (P62, 71 years, NHB, High Education) said that even if she did not want to undergo treatment, “I would have the mammogram, yeah.”
However, others stated that they expected to undergo treatment if diagnosed with cancer; therefore, they had difficulty answering the question about how refusing to undergo treatment would influence their future screening behaviors. As one participant (P27, 75 years, NHW, High Education) said, “Well, I would have treatment… I can’t [answer if I would stop screening].” Another woman (P41, 79 years, NHB, Low Education) stated, “…If I had it [cancer], I would not be a person who would not want it treated.”
Expert/Governmental Panel Recommendation Scenario
Expert/governmental panel recommendations are to discontinue
Participants appeared to be somewhat skeptical of experts and governmental panels, and reported that they would continue screening, even if it conflicted with expert or panel recommendations. As one woman (P27, 75 years, NHW, High Education) stated, “Government panels aren’t always correct.” Another woman (P50, 74 years, Hispanic/Latina, Low Education) stated, “If I wanted to have it, and I felt that I needed it, I would have it.” A number of participants indicated that they “might” consider discontinuing screening due to expert or panel recommendations. One woman (P20, 73 years, NHB, High Education) stated, “It would probably depend upon the panel or whatever, because they wouldn’t know me personally. I’d still stick with my doctor.” Similarly, another woman (P21, 78 years, NHW, High Education) said, “I suppose [I would consider recommendations by experts or governmental panels], but I am not sure I trust [the experts or panels].”
DISCUSSION
This study adds to the growing body of literature on cancer screening discontinuation by exploring racially/ethnically diverse older women’s perceptions about breast cancer screening discontinuation. Regardless of the scenario, participants who reported previously having had a mammogram and planned to continue having future mammograms reiterated that they intended to continue screening. Participants were asked to consider how they would react if a doctor said they would not live long enough to benefit from a mammogram and if a mammogram would not make them live longer. Based on their responses to the doctor’s recommendation scenarios, most intended to continue screening. There were no differences observed according to age, race/ethnicity, or education.
Overall, participants were resistant to any scenario to discontinue screening mammograms. Existing literature shows that older adults plan to continue cancer screening for various reasons. For example, Gross et al. found that older men and women plan to continue screening even with multiple comorbidities.24 Similarly, Lewis and colleagues reported that both men and women plan to continue cancer screening as they age, and that physicians can influence the decision making process through the use of individualized conversations with their patients.25,26 Moreover, Schoenborn et al. found that older men and women seemed to be open to discontinuing cancer screening when given the opportunity to discuss it with a trusted clinician, and sought opportunities for individualized conversations about screening.27 Schonberg et al. reported that older women expressed continued enthusiasm and commitment to breast cancer screening18 and physician recommendation, habit, and reassurance motivated women to continue screening.28 Our findings from a tri-ethnic sample of women further support the importance of physician discussions of screening discontinuation, specifically for breast cancer screening.
Physicians and other health care providers play a vital role in the breast cancer screening decision making process. Older adults often seek to engage in discussions with their physicians in order to weigh the potential benefits and harms of screening.26 Emerging findings show that older adults frequently seek opportunities to discuss cancer screening with their physicians.26,27 In a separate analysis of these participants, Hoover and colleagues found that older women wanted the opportunity to hear about the benefits and harms of breast cancer screening from their physician or another health care provider.29 Additionally, Pappadis et al. found that older women demonstrated a limited understanding of the downsides associated with continued screening, like overdiagnosis30 Our findings build on this prior work and highlight the role of physicians in screening decision making. Even though women intended to continue screening, they were willing to discuss breast cancer screening discontinuation in the two doctor’s recommendation scenarios. Therefore, strategies that incorporate individualized, tailored conversations between physician and patient may not change screening intentions but may be a way to enable more informed, higher quality decision making.26
We found that participants reiterated their beliefs and feelings of commitment to undergoing breast cancer screening, which may be in conflict with current guidelines. Thus, physicians may benefit from strategies that provide a way to discuss guidelines with patients as a way to implement current clinical guidelines into practice.31,32 This may be addressed by engaging women in a tailored strategy that incorporates their personal values and beliefs as they assess the benefits and downsides of continuing breast cancer screening as they age.18 Using a shared decision making strategy can allow women to discuss their values and to weigh the complex tradeoffs between different, viable options.33–40 Decision support tools have been found to support shared decision making in screening mammography in women aged 75 years and older.17 These women reported improved screening knowledge, greater satisfaction regarding patient-provider screening communication, and lower screening intentions when life expectancy was considered.17 However, discussions surrounding life expectancy are sensitive in nature and older adults may be reluctant to discuss life expectancy when making decisions about screening discontinuation.27 As a result, developing tools that elicit an individualized discussion regarding guidelines, benefits and downsides of screening, and personal values may facilitate higher quality patient-provider conversations.
Study Limitations
This study has several limitations. First, this investigation included only English speakers. Thus, findings may not be generalizable to those who speak Spanish or other languages. Second, the sample may not be fully representative of women in the general population; however, our use of non-proportional quota sampling ensured that the sample was diverse in race/ethnicity and educational attainment. Third, although we assessed perceived health status, we did not assess whether or not participants had specific health conditions. It is possible that specific comorbidities may play a unique role in screening decision making of older women and may warrant further investigation. Finally, due to the iterative nature of semi-structured interviews, not all participants were asked all of the questions. Future work should assess the impact of randomly assigned screening discontinuation messages during real physician-patient exchanges among women who wish to continue screening. The use of hypothetical scenarios may provide insight into one’s beliefs, but is not a substitute to actually knowing how a woman would respond when faced with a discontinuation message by her physician.
Clinical Implications
Findings suggest that physicians or other healthcare providers should discuss the benefits and harms of screening with older women; however, older women may seek to continue screening mammograms even if they have a shared decision-making conversation with their provider. Intention to continue screening mammograms appears to be resilient among women who plan to continue screening as they age. Future efforts to identify how to best communicate screening discontinuation when the risks may outweigh the benefits in older women are needed.
Acknowledgments
This research was supported by the Agency for Healthcare Research and Quality [R24 HS022134 to JSG]; the Claude D. Pepper Older Americans Independence Center award [P30 AG024832 (PI: Elena Volpi) to MRP] from the National Institute on Aging; the National Cancer Institute at the National Institutes of Health [P30 CA016672 to University of Texas MD Anderson Cancer Center as a Cancer Center Support Grant and R25T CA57730 (PI: Shine Chang) to AJH]; National Institute On Minority Health And Health Disparities of the National Institutes of Health [K99MD011485 to AJH; contract L60MD009326 to MRP]; The University of Texas MD Anderson Cancer Center’s Duncan Family Institute for Cancer Prevention and Risk Assessment; and the National Institute on Drug Abuse at the National Institutes of Health [K23 DA040933 to DSH]; National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) [90SFGE0002 to SK]. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Footnotes
Conflict of Interest
The authors have no conflicts of interest to disclose at this time.
Findings from this manuscript were presented, in part, at the 5th Preventing Overdiagnosis Conference in Quebec City, Canada in August 2017.
References
- 1.National Center for Health Statistics. Health, United States, 2016: With Chartbook on Long-term Trends in Health. US Department of Health and Human Services; 2017. [PubMed] [Google Scholar]
- 2.Mandelblatt JS, Cronin KA, Bailey S, et al. Effects of mammography screening under different screening schedules: Model estimates of potential benefits and harms. Ann Intern Med. 2009;151(10):738–747. doi: 10.1059/0003-4819-151-10-200911170-00010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.The benefits and harms of breast cancer screening: An independent review. The Lancet. 380(9855):1778–1786. doi: 10.1016/S0140-6736(12)61611-0. [DOI] [PubMed] [Google Scholar]
- 4.Pace LE, Keating NL. A systematic assessment of benefits and risks to guide breast cancer screening decisions. JAMA. 2014;311(13):1327–1335. doi: 10.1001/jama.2014.1398. [DOI] [PubMed] [Google Scholar]
- 5.Welch HG. Screening mammography — a long run for a short slide? N Engl J Med. 2010;363(13):1276–1278. doi: 10.1056/NEJMe1008369. [DOI] [PubMed] [Google Scholar]
- 6.Miller AB. Conundrums in screening for cancer. Int J Cancer. 2010;126(5):1039–1046. doi: 10.1002/ijc.25081. [DOI] [PubMed] [Google Scholar]
- 7.Walter LC, Schonberg MA. Screening mammography in older women: A review. JAMA. 2014;311(13):1336–1347. doi: 10.1001/jama.2014.2834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Oeffinger KC, Fontham EH, Etzioni R, et al. Breast cancer screening for women at average risk: 2015 guideline update from the American Cancer Society. JAMA. 2015;314(15):1599–1614. doi: 10.1001/jama.2015.12783. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Siu AL. Screening for Breast Cancer: U.S. Preventive Services Task Force recommendation statement screening for breast cancer. Ann Intern Med. 2016 doi: 10.7326/M15-2886. [DOI] [PubMed] [Google Scholar]
- 10.Deppen SA, Aldrich MC, Hartge P, et al. Cancer screening: The journey from epidemiology to policy. Ann Epidemiol. 2012;22(6):439–445. doi: 10.1016/j.annepidem.2012.03.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.US Preventive Services Task Force. Screening for breast cancer: US Preventive Services Task Force recommendation statement. Ann Intern Med. 2009;151(10):716–726. doi: 10.7326/0003-4819-151-10-200911170-00008. [DOI] [PubMed] [Google Scholar]
- 12.Pace LE, He Y, Keating NL. Trends in mammography screening rates after publication of the 2009 US Preventive Services Task Force recommendations. Cancer. 2013;119(14):2518–2523. doi: 10.1002/cncr.28105. [DOI] [PubMed] [Google Scholar]
- 13.Murphy AM. Mammography screening for breast cancer: A view from 2 worlds. JAMA. 2010;303(2):166–167. doi: 10.1001/jama.2009.1991. [DOI] [PubMed] [Google Scholar]
- 14.Hurria A, Levit LA, Dale W, et al. Improving the evidence base for treating older adults with cancer: American Society of Clinical Oncology statement. J Clin Oncol. 2015;33(32):3826–3833. doi: 10.1200/JCO.2015.63.0319. [DOI] [PubMed] [Google Scholar]
- 15.Eckstrom E, Feeny DH, Walter LC, Perdue LA, Whitlock EP. Individualizing cancer screening in older adults: A narrative review and framework for future research. J Gen Intern Med. 2013;28(2):292–298. doi: 10.1007/s11606-012-2227-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Torke AM, Schwartz PH, Holtz LR, Montz K, Sachs GA. Older adults and forgoing cancer screening: “I think it would be strange”. JAMA Intern Med. 2013;173(7):526–531. doi: 10.1001/jamainternmed.2013.2903. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Schonberg MA, Hamel M, Davis RB, et al. Development and evaluation of a decision aid on mammography screening for women 75 years and older. JAMA Intern Med. 2014;174(3):417–424. doi: 10.1001/jamainternmed.2013.13639. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Schonberg MA, Ramanan RA, McCarthy EP, Marcantonio ER. Decision making and counseling around mammography screening for women aged 80 or older. J Gen Intern Med. 2006;21(9):979–985. doi: 10.1111/j.1525-1497.2006.00487.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Morrow KM, Vargas S, Rosen RK, et al. The utility of non-proportional quota sampling for recruiting at-risk women for microbicide research. AIDS Behav. 2007;11(4):586–595. doi: 10.1007/s10461-007-9213-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Fishbein M. A reasoned action approach to health promotion. Med Decis Making. 2008;28(6):834–844. doi: 10.1177/0272989X08326092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Sandelowski M. Whatever happened to qualitative description? Res Nurs Health. 2000;23(4):334–340. doi: 10.1002/1098-240x(200008)23:4<334::aid-nur9>3.0.co;2-g. [DOI] [PubMed] [Google Scholar]
- 22.Sandelowski M. What's in a name? Qualitative description revisited. Res Nurs Health. 2010;33(1):77–84. doi: 10.1002/nur.20362. [DOI] [PubMed] [Google Scholar]
- 23.Colorafi KJ, Evans B. Qualitative descriptive methods in health science research. HERD. 2016;9(4):16–25. doi: 10.1177/1937586715614171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Gross CP, Fried TR, Tinetti ME, et al. Decision-making and cancer screening: A qualitative study of older adults with multiple chronic conditions. J Geriatr Oncol. 2015;6(2):93–100. doi: 10.1016/j.jgo.2014.12.001. [DOI] [PubMed] [Google Scholar]
- 25.Lewis CL, Couper MP, Levin CA, Pignone MP, Zikmund-Fisher BJ. Plans to stop Cancer screening tests among adults who recently considered screening. J Gen Intern Med. 2010;25(8):859–864. doi: 10.1007/s11606-010-1346-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Lewis CL, Kistler CE, Amick HR, et al. Older adults' attitudes about continuing cancer screening later in life: A pilot study interviewing residents of two continuing care communities. BMC Geriatr. 2006;6(1):10. doi: 10.1186/1471-2318-6-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Schoenborn NL, Lee K, Pollack CE, et al. Older adults’ views and communication preferences about cancer screening cessation. JAMA Intern Med. 2017 doi: 10.1001/jamainternmed.2017.1778. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Schonberg MA, McCarthy EP, York M, Davis RB, Marcantonio ER. Factors influencing elderly women's mammography screening decisions: Implications for counseling. BMC Geriatr. 2007;7:26–26. doi: 10.1186/1471-2318-7-26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Hoover DS, Pappadis MR, Housten AJ, et al. Preferences for communicating about breast cancer screening among racially/ethnically diverse older women. Health Commun. 2018:1–5. doi: 10.1080/10410236.2018.1431026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Pappadis MR, Volk RJ, Krishnan S, et al. Perceptions of overdetection of breast cancer among women 70 years of age and older in the USA: A mixed-methods analysis. BMJ Open. doi: 10.1136/bmjopen-2018-022138. under review. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Radhakrishnan A, Nowak SA, Parker AM, Visvanathan K, Pollack C. Physician breast cancer screening recommendations following guideline changes: Results of a national survey. JAMA Internal Medicine. 2017;177(6):877–878. doi: 10.1001/jamainternmed.2017.0453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Grady D, Redberg RF. Physician adherence to breast cancer screening recommendations. JAMA Internal Medicine. 2017;177(6):763–764. doi: 10.1001/jamainternmed.2017.0458. [DOI] [PubMed] [Google Scholar]
- 33.Volk RJ, Hawk E, Bevers TB. Should CMS cover lung cancer screening for the fully informed patient? JAMA. 2014;312(12):1193–1194. doi: 10.1001/jama.2014.12709. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Sepucha KR, Feibelmann S, Cosenza C, Levin CA, Pignone M. Development and evaluation of a new survey instrument to measure the quality of colorectal cancer screening decisions. BMC Medical Informatics and Decision Making. 2014;14(1):1–9. doi: 10.1186/1472-6947-14-72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Sepucha KR, Borkhoff CM, Lally J, et al. Establishing the effectiveness of patient decision aids: key constructs and measurement instruments. BMC Medical Informatics and Decision Making. 2013;13(2):1–11. doi: 10.1186/1472-6947-13-S2-S12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Sepucha KR, Levin CA, Uzogara EE, Barry MJ, O’Connor AM, Mulley AG. Developing instruments to measure the quality of decisions: Early results for a set of symptom-driven decisions. Patient Education and Counseling. 2008;73(3):504–510. doi: 10.1016/j.pec.2008.07.009. [DOI] [PubMed] [Google Scholar]
- 37.Sepucha K, Ozanne E, Silvia K, Partridge A, Mulley AG., Jr An approach to measuring the quality of breast cancer decisions. Patient Education and Counseling. 2007;65(2):261–269. doi: 10.1016/j.pec.2006.08.007. [DOI] [PubMed] [Google Scholar]
- 38.Sepucha KR, Stacey D, Clay CF, et al. Decision quality instrument for treatment of hip and knee osteoarthritis: a psychometric evaluation. BMC Musculoskeletal Disorders. 2011;12(1):1–12. doi: 10.1186/1471-2474-12-149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Stacey D, Légaré F, Col NF, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database of Systematic Reviews. 2014;(1) doi: 10.1002/14651858.CD001431.pub4. [DOI] [PubMed] [Google Scholar]
- 40.Volk RJ, Llewellyn-Thomas H, Stacey D, Elwyn G. Ten years of the International Patient Decision Aid Standards Collaboration: evolution of the core dimensions for assessing the quality of patient decision aids. BMC Medical Informatics and Decision Making. 2013;13(2):1–7. doi: 10.1186/1472-6947-13-S2-S1. [DOI] [PMC free article] [PubMed] [Google Scholar]