Reaching Rural Women: Breast Cancer Prevention Information Seeking Behaviors and Interest in Internet, Cell Phone, and Text Use

Kratzke, Cynthia; Wilson, Susan L.; Vilchis, Hugo

doi:10.1007/s10900-012-9579-3

Cited by 42 publications

(35 citation statements)

References 18 publications

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“…Studies among young, urban African Americans, rural whites, and Hispanic women demonstrated interest in receiving information about health issues (including breast cancer) via text messaging or cell phone. 87–89 Data on technology adoption by minority populations suggest that this avenue must be pursued to eliminate cancer health disparities.…”

Section: Tools For Cancer Prevention Researchmentioning

confidence: 99%

The Influence of Health Disparities on Targeting Cancer Prevention Efforts

Zonderman

Ejiogu

Norbeck

et al. 2014

American Journal of Preventive Medicine

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Despite the advances in cancer medicine and the resultant 20% decline in cancer death rates for Americans since 1991, there remain distinct cancer health disparities among African Americans, Hispanics, Native Americans, and the those living in poverty. Minorities and the poor continue to bear the disproportionate burden of cancer especially in terms of stage at diagnosis, incidence and mortality. Cancer health disparities are persistent reminders that state-of-the art cancer prevention, diagnosis, and treatment are not equally effective for and accessible to all Americans. The cancer prevention model must take into account the phenotype of accelerated aging associated with health disparities as well as the important interplay of biological and sociocultural factors that lead to disparate health outcomes. The building blocks of this prevention model will include: interdisciplinary prevention modalities that encourage partnerships across medical and nonmedical entities, community-based participatory research, development of ethnically and racially diverse research cohorts, and full actualization of the prevention benefits outlined in the 2010 Patient Protection and Affordable Care Act. However, the most essential facet should be a thoughtful integration of cancer prevention and screening into prevention, screening, and disease management activities for hypertension and diabetes mellitus since these chronic medical illnesses have a substantial prevalence in populations at risk for cancer disparities and cause considerable comorbidity and likely complicate effective treatment and contribute to disproportionate cancer death rates.

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Section: Tools For Cancer Prevention Researchmentioning

confidence: 99%

The Influence of Health Disparities on Targeting Cancer Prevention Efforts

Zonderman

Ejiogu

Norbeck

et al. 2014

American Journal of Preventive Medicine

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“…For example, Eakin et al found that breast cancer survivors participating in their telephone-based exercise intervention were more likely to report interest in the same intervention being delivered face to face versus the Internet (83% vs 76%) [25]. Age has also been shown to be predictive of delivery preference [26] and use [27,28]. Increasingly, specific information is needed to understand cancer survivors’ preferences for intervention modalities in order to design programs that produce the greatest public health impact.…”

Section: Introductionmentioning

confidence: 99%

Interest in Health Behavior Intervention Delivery Modalities Among Cancer Survivors: A Cross-Sectional Study

Martin¹,

Basen-Engquist²,

Cox³

et al. 2016

JMIR Cancer

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BackgroundEffective, broad-reaching channels are important for the delivery of health behavior interventions in order to meet the needs of the growing population of cancer survivors in the United States. New technology presents opportunities to increase the reach of health behavior change interventions and therefore their overall impact. However, evidence suggests that older adults may be slower in their adoption of these technologies than the general population. Survivors’ interest for more traditional channels of delivery (eg, clinic) versus new technology-based channels (eg, smartphones) may depend on a variety of factors, including demographics, current health status, and the behavior requiring intervention.ObjectiveThe aim of this study was to determine the factors that predict cancer survivors’ interest in new technology-based health behavior intervention modalities versus traditional modalities.MethodsSurveys were mailed to 1871 survivors of breast, prostate, and colorectal cancer. Participants’ demographics, diet and physical activity behaviors, interest in health behavior interventions, and interest in intervention delivery modalities were collected. Using path analysis, we explored the relationship between four intervention modality variables (ie, clinic, telephone, computer, and smartphone) and potential predictors of modality interest.ResultsIn total, 1053 respondents to the survey (56.3% response rate); 847 provided complete data for this analysis. Delivery channel interest was highest for computer-based interventions (236/847, 27.9% very/extremely interested) and lowest for smartphone–based interventions (73/847, 8.6%), with interest in clinic-based (147/847, 17.3%) and telephone-delivered (143/847, 16.9%) falling in between. Use of other technology platforms, such as Web cameras and social networking sites, was positively predictive of interest in technology-based delivery channels. Older survivors were less likely to report interest in smartphone–based diet interventions. Physical activity, fruit and vegetable consumption, weight status, and age moderated relationships between interest in targeted intervention behavior and modality.ConclusionsThis study identified several predictors of survivor interest in various health behavior intervention delivery modalities. Overall, computer-based interventions were found to be most acceptable, while smartphones were the least. Factors related to survivors’ current technology use and health status play a role in their interest for technology-based intervention versus more traditional delivery channels. Future health behavior change research in this population should consider participants’ demographic, clinical, and lifestyle characteristics when selecting a delivery channel. Furthermore, current health behavior interventions for older cancer survivors may be best delivered over the Internet. Smartphone interventions may be feasible in the future following further adoption and familiarization by this particular population.

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“…More efforts in this direction are urgently needed in Mexico. Mass media campaigns and the use of new communication technologies (E-Health) can be of great help to promote self-breast examinations and to remind women about the importance of periodically carrying out mammograms 39,40 . On the other hand, breast cancer programs should also integrate the provision of psychological support and postsurgical physical rehabilitation 41,42 to improve the patients' quality of life, as it is done in other countries.…”

Section: Discussionmentioning

confidence: 99%

Medical therapeutic itineraries of women with breast cancer diagnosis affiliated to the People's Health Insurance in San Luis Potosí, central Mexico

2015

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This study aims to describe the medical itineraries followed by breast cancer women affiliated to the People's Health Insurance in San Luis Potosí, central Mexico. We used an ethnographic approach based on oral histories of 12 women diagnosed with breast cancer in the year prior to the first meeting. Two face-to-face sessions per participant lasting 60 minutes each were conducted followed by a telephone interview. Content and diachronic analyses were used. Three main itineraries were identified: (1) diagnostic process, (2) final diagnosis to treatment, and (3) cancer control and relapse. Findings suggested that infrastructure and human resources to adequately screen and timely diagnose breast cancer were scant and insufficiently trained, respectively. Deferral of medical assessment was related with lack of information about breast cancer consequences, with women being afraid of a positive result, and with economic constraints. The current screening program needs to be redesigned to prevent diagnostic delays, as these seem to explain the high frequency of advanced stages reported at the time of diagnosis.

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Reaching Rural Women: Breast Cancer Prevention Information Seeking Behaviors and Interest in Internet, Cell Phone, and Text Use

Cited by 42 publications

References 18 publications

The Influence of Health Disparities on Targeting Cancer Prevention Efforts

The Influence of Health Disparities on Targeting Cancer Prevention Efforts

Interest in Health Behavior Intervention Delivery Modalities Among Cancer Survivors: A Cross-Sectional Study

Medical therapeutic itineraries of women with breast cancer diagnosis affiliated to the People's Health Insurance in San Luis Potosí, central Mexico

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