Evidence map›Paper›PMID 30733308›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

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

Marlene Camacho-Rivera, Samuel L Rice, Sehyun Oh, Manuel Paris, Ezinne Akpara, Justen Molina, Michael Obadina, Shireene Mcmillan, Joshua L Mendez Aracena, Jason Morency and 5 more

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. A National Map of NCI-Designated Cancer Center Catchment Areas on the 50th Anniversary of the Cancer Centers Program.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Marlene Camacho-RiveraDepartment of Community Health and Social Medicine, CUNY School of Medicine, New York, New York. mcamacho-rivera@med.cuny.edu jro7001@med.cornell.edu.
Samuel L RiceDepartment of Radiology, Weill Cornell Medical College, New York, New York.ORCID 0000-0002-0158-8921
Sehyun OhDepartment of Epidemiology and Biostatistics, CUNY Institute for Implementation Science in Population Health, New York, New York.
Manuel ParisDepartment of Radiology, Weill Cornell Medical College, New York, New York.
Ezinne AkparaDepartment of Community Health and Social Medicine, CUNY School of Medicine, New York, New York.
Justen MolinaDepartment of Community Health and Social Medicine, CUNY School of Medicine, New York, New York.
Michael ObadinaDepartment of Community Health and Social Medicine, CUNY School of Medicine, New York, New York.
Shireene McmillanDepartment of Radiology, Weill Cornell Medical College, New York, New York.
Joshua L Mendez AracenaDepartment of Radiology, Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Jason MorencyDepartment of Community Health and Social Medicine, CUNY School of Medicine, New York, New York.
Rosario Costas MunizDepartment of Radiology, Weill Cornell Medical College, New York, New York.
Francesca GanyDepartment of Radiology, Weill Cornell Medical College, New York, New York.
Carol L BrownDepartment of Gynecology, Memorial Sloan Kettering Cancer Center, New York, New York.
Jason GonskyDepartment of Medicine, NYC Health + Hospitals, Kings County Hospital Center, SUNY Downstate Medical School, New York, New York.
Joseph R OsborneDepartment of Radiology, Weill Cornell Medical College, New York, New York. mcamacho-rivera@med.cuny.edu jro7001@med.cornell.edu.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundThe 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.

methodsThe 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.

resultsAmong 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).

conclusionsFor 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.

Indexed as

Health PromotionHealth Services AccessibilityAdolescentAdultColorectal NeoplasmsDemographyEarly Detection of CancerFemaleHumansInformation Seeking BehaviorMaleMiddle AgedNew York CityProstatic NeoplasmsSmartphoneSurveys and Questionnaires

Identifiers

PMID30733308
PMCPMC6414076

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.