Evidence map›Paper›PMID 34286909›Full record

ArticleThe oncologist2021

Acceptability, Utility, and Cost of a Mobile Health Cancer Screening Education Application for Training Primary Care Physicians in India.

Sujha Subramanian, Regi Jose, Anoop Lal, Paul Augustine, Madeleine Jones, Bipin K Gopal, Shinu Krishnan Swayamvaran, Veena Saroji, Resmi Samadarsi, Rengaswamy Sankaranarayanan

Abstract read
In one paragraph

Article in The oncologist, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Technology-Enhanced Learning in the Education of Oncology Medical Professionals: A Systematic Literature Review.Journal of cancer education : the official journal of the American Association for Cancer Education · 2023
    Pooled it
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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

10 authors.

Sujha SubramanianRTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0003-2415-9721
Regi JoseSnehita Women's Health Foundation, Trivandrum, Kerala, India.
Anoop LalCentre for Preventive Health, Trivandrum, Kerala, India.
Paul AugustineRegional Cancer Center, Trivandrum, Kerala, India.
Madeleine JonesRTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0002-5871-9400
Bipin K GopalDirectorate of Health Services, Government of Kerala, India.
Shinu Krishnan SwayamvaranState Health Systems Resource Center (SHSRC), Kerala, India.
Veena SarojiDirectorate of Health Services, Government of Kerala, India.
Resmi SamadarsiDepartment of Community Medicine, Sree Gokulam Medical College, Trivandrum, Kerala, India.
Rengaswamy SankaranarayananInternational Agency for Research on Cancer (IARC), Lyon, France.

Funding

M-OncoEd: Oncology Education and Training for Providers using Mobile PhonesR21CA224387 · NCI · RESEARCH TRIANGLE INSTITUTE · PI SUBRAMANIAN, SUJHA · 2018 to 2019
$334k
NCI NIH HHS R21 CA224387World Health Organization 001
6 · The paper itself

Abstract

purposeMobile health (mHealth)-based oncology education can be a powerful tool for providing cancer screening knowledge to physicians, as mobile technology is widely available and inexpensive. We developed a mobile application (M-OncoED) to educate physicians on cancer screening and tested the acceptability, utility, and cost of two different approaches to recruit physicians.

methodsM-OncoED was designed to perform pre- and postlearning assessments through the in-built quizzes; present case studies and educational materials for cervical, breast, and oral cancer screening; collect responses to interactive queries; document module completion; send reminders and alerts; and track user metrics, including number of sessions to complete each module and time spent per session. We tested two recruitment approaches: a broad-scale recruitment group, for which we relied on e-mails, messaging apps (e.g., WhatsApp), and phone calls, and the targeted recruitment group, for which we conducted a face-to-face meeting for the initial invitation.

resultsOverall, about 35% of those invited in the targeted group completed the course compared with about 3% in the broad-based recruitment group. The targeted recruitment approach was more cost-efficient ($55.33 vs. $109.43 per person). Cervical cancer screening knowledge increased by about 30 percentage points, and breast cancer screening knowledge increased by 10 percentage points. There was no change in knowledge for oral cancer scorings.

conclusionThis study has demonstrated the feasibility and utility of using an mHealth app to educate physicians. A more intensive hands-on recruitment approach is likely required to engage physicians to download and complete the app. Future studies should assess the impact of mHealth tools on physician behavior and patient outcomes. IMPLICATIONS FOR PRACTICE: Mobile health (mHealth)-based oncology education can be a powerful tool for providing cancer screening knowledge to physicians, as mobile technology is widely available and inexpensive. This study has demonstrated the feasibility and utility of using an mHealth app to educate physicians and illustrates the type of recruitment approach (face-to-face) that is likely required to incentivize physicians to download the app and complete the training.

Indexed as

Mobile ApplicationsPhysicians, Primary CareTelemedicineUterine Cervical NeoplasmsEarly Detection of CancerFemaleHumansIndiaBreast neoplasmsEarly detection of cancerFeasibility studiesMobile applicationsUterine cervical neoplasms

Identifiers

PMID34286909
PMCPMC8649011

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.