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Cancer Epidemiol Biomarkers Prev. 2019 Mar;28(3):478-485. doi: 10.1158/1055-9965.EPI-18-0788. Epub 2019 Feb 7.

Cancer Health Impact Program (CHIP): Identifying Social and Demographic Associations of mHealth Access and Cancer Screening Behaviors Among Brooklyn, New York, Residents.

Author information

1
Department of Community Health and Social Medicine, CUNY School of Medicine, New York, New York. mcamacho-rivera@med.cuny.edu jro7001@med.cornell.edu.
2
Department of Radiology, Weill Cornell Medical College, New York, New York.
3
Department of Epidemiology and Biostatistics, CUNY Institute for Implementation Science in Population Health, New York, New York.
4
Department of Community Health and Social Medicine, CUNY School of Medicine, New York, New York.
5
Department of Radiology, Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, New York.
6
Department of Research and Technology Management, Clinical Research Administration, Memorial Sloan Kettering Cancer Center, New York, New York.
7
Department of Gynecology, Memorial Sloan Kettering Cancer Center, New York, New York.
8
Department of Medicine, NYC Health + Hospitals, Kings County Hospital Center, SUNY Downstate Medical School, New York, New York.
9
Department of Radiology, Weill Cornell Medical College, New York, New York. mcamacho-rivera@med.cuny.edu jro7001@med.cornell.edu.

Abstract

BACKGROUND:

The Bedford-Stuyvesant (BS) and Bushwick (BW) communities of central Brooklyn, New York, are located within the 50-mile core radius of Memorial Sloan Kettering's main catchment area. Cancer is the second leading cause of death among the predominantly African American and Hispanic neighborhoods, with BS and BW having higher prostate cancer and colorectal mortality rates than New York City as a whole. There is significant opportunity to design cancer interventions that leverage the accessibility and acceptability of mobile health (mHealth) tools among the BS and BW communities.

METHODS:

The Cancer Health Impact Program (CHIP) is a collaborative that was formed for this purpose. Through CHIP, we used a tablet-based, Health Information National Trends (HINTS)-based multimodality survey to collect and analyze social and demographic patterns of prostate cancer and colorectal cancer screening, as well as mHealth access, among BS and BW residents.

RESULTS:

Among 783 participants, 77% reported having a smartphone, 40% reported access to a mobile health application, 17% reported blood stool kit testing, and 26% of men reported PSA test screening. Multivariable logistic regression models results demonstrated that participants who reported owning smartphones, but were unsure whether they had access to a health app, were also significantly more likely to report blood stool kit testing compared with participants without smartphones. In fully adjusted models, access to a health app was not significantly associated with PSA testing. Non-Hispanic white participants were 86% less likely to report blood stool kit testing when compared with non-Hispanic black participants [OR = 0.15; 95% confidence interval (CI) 0.02-0.49]. Participants with a prior history of cancer were three times more likely to report blood stool kit testing when compared with those without cancer history (OR = 3.18; 95% CI, 1.55-6.63).

CONCLUSIONS:

For blood stool kit testing, significant differences were observed by race/ethnicity, cancer history, age, and smartphone use; for PSA screening, only age was significant in fully adjusted models.

IMPACT:

Our results demonstrate that while access to smartphones and mobile health apps may be prevalent among minority communities, other social and demographic characteristics are more likely to influence screening behaviors.

PMID:
30733308
PMCID:
PMC6414076
[Available on 2020-03-01]
DOI:
10.1158/1055-9965.EPI-18-0788

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