Evidence map›Paper›PMID 27390745›Full record

ArticlemHealth2016

Towards research-tested smartphone applications for preventing breast cancer.

Steven S Coughlin, Herpreet Thind, Benyuan Liu, Lt Col Candy Wilson

Open access · hybridAbstract read
In one paragraph

Article in mHealth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 5% of its field
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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Application of Personalized Education in the Mobile Medical App for Breast Self-Examination.International journal of environmental research and public health · 2022
    Trial
  5. Article
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  7. Review
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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

4 authors at 2 institutions in 1 country.

Steven S CoughlinDepartment of Clinical and Digital Health Sciences, College of Allied Health Sciences, Augusta University, Augusta, GA, USA.
Herpreet ThindDepartment of Community Health and Sustainability, Division of Public Health, University of Massachusetts, Lowell, MA, USA.
Benyuan LiuDepartment of Computer Sciences, University of Massachusetts, Lowell, MA, USA.
Lt Col Candy WilsonMalcolm Grow Medical Clinics and Surgery Center at JB-Andrews, Joint Base Andrews, MD, USA.
Augusta University Health · USMalcolm Grow Medical Clinic · US

Funding

EPIDEMIOLOGY OF IDIOPATHIC DILATED CARDIOMYOPATHYR29HL044904 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI COUGHLIN, STEVEN S · 1990 to 1994
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NHLBI NIH HHS R29 HL044904
6 · The paper itself

Abstract

Efforts to prevent breast cancer and other chronic illnesses have focused on promoting physical activity, healthy diet and nutrition, and avoidance of excessive alcohol consumption. Smartphone applications (apps) offer a low-cost, effective strategy for breast cancer prevention in women through behavioral change. However, there are currently no research-tested smartphone apps for breast cancer prevention that are suitable for women with varying levels of health literacy and eHealth literacy. In this perspective, we consider modifiable risk factors for breast cancer in women in relation to the development of smartphone apps to promote healthy behaviors associated with breast cancer-risk reduction. First, we provide a summary of breast cancer risk factors that are modifiable through behavioral change including their corresponding relative risk. Second, we discuss scientific issues related to the development of smartphone apps for the primary prevention of breast cancer and offer suggestions for further research. Smartphone apps for preventing breast cancer should be tailored for women at different life stages (e.g., young women, women who are post-menopausal, and older women). Topics such as breastfeeding and oral contraceptives are appropriate for younger women. Weight management, physical activity, avoiding cigarette smoking, and dispelling breast cancer myths are appropriate for women of all ages. As women age, topics such as hormone replacement therapy or comorbid health conditions become more important to address. Apps for breast cancer prevention should be grounded in a behavioral theory or framework and should be suitable for people with varying levels of health literacy. Future developments in smartphone apps for breast cancer prevention should include apps that are tailored for specific cultural, racial, and ethnic groups.

Indexed as

Alcoholbreast cancerdiethealth literacynutritionobesityphysical activityprimary preventionsmartphones

Identifiers

PMID27390745
PMCPMC4933519
OpenAlexW2465172039

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.