Willingness to decrease mammogram frequency among women at low risk for hereditary breast cancer

Testing Theory-Based Messages to Encourage Women at Average Risk for Breast Cancer to Consider Biennial Mammography Screening

BACKGROUND

The US Preventive Services Task Force does not recommend routine annual mammography screening for women aged 40-49 at average risk. Little research has been done to develop theory-based communication interventions to facilitate informed decision-making about reducing potentially low-value mammography screening.

PURPOSE

Evaluate the effects of theory-based persuasive messages on women's willingness to consider delaying screening mammography until age 50 or have mammograms biennially.

METHODS

We conducted a randomized controlled communication experiment online with a population-based sample of U.S. women aged 40-49 (N = 383) who screened to be at average risk for breast cancer. Women were randomly assigned to the following messaging summaries: annual mammography risks in 40s (Arm 1, n = 124), mammography risks plus family history-based genetic risk (Arm 2, n = 120), and mammography risks, genetic risk, and behavioral alternatives (Arm 3, n = 139). Willingness to delay screening or reduce screening frequency was assessed post-experiment by a set of 5-point Likert scale items.

RESULTS

Women in Arm 3 reported significantly greater willingness to delay screening mammography until age 50 (mean = 0.23, SD = 1.26) compared with those in Arm 1 (mean = -0.17, SD = 1.20; p = .04). There were no significant arm differences in willingness to reduce screening frequency. Exposure to the communication messages significantly shifted women's breast cancer-related risk perceptions without increasing unwarranted cancer worry across all three arms.

CONCLUSIONS

Providing women with screening information and options may help initiate challenging discussions with providers about potentially low-value screening.

Factors Associated with Mammography Screening Choices by Women Aged 40-49 at Average Risk

Background: The U.S. Preventive Services Task Force (USPSTF) does not recommend routine mammogram screening for women aged 40-49 years at average risk for breast cancer. We aimed to assess the extent to which women were following guideline recommendations and to examine whether guideline awareness and other individual-level factors were associated with adherence. Materials and Methods: We surveyed a nationally representative panel of 383 U.S. women aged 40-49 years at low risk for hereditary breast cancer in October 2019. Results: Only 29% of women reported not having initiated screening mammography. Most women (80%) were unaware of the USPSTF screening guideline related to age of initiation and frequency of mammography. Being aware of the recommendation to initiate screening at age 50 increased the odds of not initiating screening (odds ratio [OR] = 6.70, p < 0.001), whereas being older than 45 years (OR = 0.22, p < 0.001) and having a primary care doctor decreased the odds of not initiating screening (OR = 0.25, p < 0.001). Conclusions: Mammogram screening in excess of USPSTF recommendations is prevalent among U.S. women aged 40-49 years. Efforts are needed to increase women's awareness of the rationale for guidelines and the opportunities to discuss with providers whether delaying mammograms is appropriate.

Prediction of Breast Cancer using Machine Learning Approaches

BACKGROUND

Breast cancer is considered one of the most common cancers in women caused by various clinical, lifestyle, social, and economic factors. Machine learning has the potential to predict breast cancer based on features hidden in data.

OBJECTIVE

This study aimed to predict breast cancer using different machine-learning approaches applying demographic, laboratory, and mammographic data.

MATERIAL AND METHODS

In this analytical study, the database, including 5,178 independent records, 25% of which belonged to breast cancer patients with 24 attributes in each record was obtained from Motamed cancer institute (ACECR), Tehran, Iran. The database contained 5,178 independent records, 25% of which belonged to breast cancer patients containing 24 attributes in each record. The random forest (RF), neural network (MLP), gradient boosting trees (GBT), and genetic algorithms (GA) were used in this study. Models were initially trained with demographic and laboratory features (20 features). The models were then trained with all demographic, laboratory, and mammographic features (24 features) to measure the effectiveness of mammography features in predicting breast cancer.

RESULTS

RF presented higher performance compared to other techniques (accuracy 80%, sensitivity 95%, specificity 80%, and the area under the curve (AUC) 0.56). Gradient boosting (AUC=0.59) showed a stronger performance compared to the neural network.

CONCLUSION

Combining multiple risk factors in modeling for breast cancer prediction could help the early diagnosis of the disease with necessary care plans. Collection, storage, and management of different data and intelligent systems based on multiple factors for predicting breast cancer are effective in disease management.

Predictors of Women's Awareness of the Benefits and Harms of Mammography Screening and Associations with Confusion, Ambivalence, and Information Seeking

In recent years, there has been a shift toward promoting informed decision making for mammography screening for average-risk women in their 40s. Professional organizations such as the American Cancer Society and U.S. Preventive Services Task Force recommend that women weigh the potential benefits and harms of mammography prior to initiating screening. This decision-making process assumes that women are aware of both the benefits and harms of screening, yet little is known about the prevalence and antecedents of such awareness. Moreover, it is conceivable that women who are aware of both the benefits and harms may interpret this information as conflicting - which could be concerning, as researchers have documented adverse effects of exposure to conflicting health information in prior research. Using data from a population-based survey of U.S. women aged 30-59 (N = 557), the current study found that awareness of mammography's harms is relatively low compared to awareness of benefits. Health news exposure and interpersonal communication about health were associated with greater awareness of harms. In addition, women's awareness of both the benefits and harms was positively associated with confusion about breast cancer screening recommendations, ambivalence about getting a mammogram, and mammogram-related information seeking from online sources. Implications for cancer screening communication are discussed.

Misinterpretation of Hereditary Breast Cancer Risk and Its Association with Information Sharing Motives among Women at Low Likelihood of Carrying a BRCA1/2 Mutation

PURPOSE

In this brief report, we ask whether women's interpretation of breast cancer risk based on their low likelihood of carrying a BRCA1/2 mutation is associated with their information-sharing behavior, and whether misinterpretation is associated with motives for sharing the result.

METHODS

Women in mammography clinics who completed a brief family history assessment and deemed to be at low likelihood of carrying a BRCA1/2 mutation were asked to complete a 1-time online survey between June 2016 and January 2017.

RESULTS

One-third (44/148) of women shared their family history screen result with someone in their social network. Result information was shared largely with a first-degree female relative to express feelings of relief (77%, 33/43). There were no differences in likelihood of sharing based on breast cancer risk interpretation. However, women who misinterpreted the implications of the result for general breast cancer risk reported more motives to share the result with their social network than those who accurately interpreted their breast cancer risk.

CONCLUSIONS

As family history-based screening for hereditary breast cancer is broadly implemented, the communication needs of the majority of women who will be unlikely of carrying a BRCA1/2 mutation must be considered. The motives of women who misinterpreted the implications of this result for breast cancer risk suggest the possibility that miscommunication could be spread to the broader family network.

Factors associated with receipt of mammogram among caregivers: a comparison with non-caregivers

BACKGROUND

caregiving responsibilities significantly impact females' decisions on adhering to preventive mammography. The purpose of this study is to examine (1) the levels of mammogram receipt, (2) the role of caregiving factors on the receipt of mammogram in caregiving group, and (3) the role of cancer beliefs on mammogram screening in caregivers and non-caregivers.

METHODS

the 2017 Health Information National Trends Survey (HINTS) provides samples of 1228 women aged 40 to 75 years old for this secondary analysis. By using Andersen's Behavioral Model of Health Services Use, a binomial logistic regression model was used to analyze associations between mammography and socioeconomic factors, caregiving factors, and cancer belief factors.

RESULTS

caregivers who provided more caregiving hours per week (OR = 0.749, 95% CI = 0.564-0.94) and caregivers who had the belief of rather not knowing the likelihood of getting cancer (OR = 0.673, 95% CI = 0.496-0.914) were less likely to use mammogram. However, caregivers who believed cancer is more common than heart disease (OR = 1.490, 95% CI = 1.302-2.151) were more likely to use a mammogram. Non-caregivers who worried about getting cancer (OR = 1.158, 95% CI = 0.793-1.691) were more likely to use mammogram, but non-caregivers who had the belief of rather not know the likelihood of getting cancer (OR = 0.825, 95% CI = 0.713-0.955) were less likely to use mammogram.

CONCLUSIONS

to support caregivers' breast cancer prevention, caregiving-related policies based on caregiving hours should be developed. Particularly, effort to promote breast cancer screening education and care support among older primary caregivers will likely increase their adherence to preventive mammography uptake. The development of targeted cancer prevention interventions on specific cancer beliefs held by both groups are also urgently needed to promote mammography.

Regarding the Yin and Yang of Precision Cancer- Screening and Treatment: Are We Creating a Neglected Majority?

In this commentary, we submit that the current emphasis of precision cancer screening and treatment (PCST) has been to provide and interpret the implications of "positive" screening results for those deemed to be at greatest risk for cancer or most likely to benefit from targeted treatments. This is an important, but proportionately small target group, regardless of the cancer context. Overlooked by this focus is the larger majority of those screened who receive "negative" results. We contend that for optimal dissemination of PCST, the complement of positive and negative results be viewed as an inseparable yin-yang duality with the needs of those who receive negative screening results viewed as important as those deemed to be at highest risk or derive targeted treatment benefit. We describe three areas where communication of negative PCST results warrant particular attention and research consideration: population-based family history screening, germline testing for hereditary cancer syndromes, and tumor testing for targeted cancer treatment decision-making. Without thoughtful consideration of the potential for negative results to have psychological and behavioral influences, there is a potential to create a "neglected majority". This majority may be inclined to misinterpret results, disseminate inaccurate information to family, dismiss the credibility of results, or become disillusioned with existing medical treatments.