Evidence map›Paper›PMID 40177938›Full record

ArticleJMIR formative research2025

Increasing the Uptake of Breast and Cervical Cancer Screening Via the MAwar Application: Stakeholder-Driven Web Application Development Study.

Nurfarhana Nasrudin, Shariff-Ghazali Sazlina, Ai Theng Cheong, Ping Yein Lee, Soo-Hwang Teo, Abdul Rashid Aneesa, Chin Hai Teo, Fakhrul Zaman Rokhani, Nuzul Azam Haron, Noor Harzana Harrun and 2 more

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

12 authors.

Nurfarhana Nasrudin *Department of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Jalan Universiti 1, Serdang, 43400, Malaysia, 60 0122325659.ORCID 0009-0008-8304-8961
Shariff-Ghazali Sazlina *Department of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Jalan Universiti 1, Serdang, 43400, Malaysia, 60 0122325659.ORCID 0000-0002-5737-7226
Ai Theng Cheong *Department of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Jalan Universiti 1, Serdang, 43400, Malaysia, 60 0122325659.ORCID 0000-0002-3895-530X
Ping Yein Lee *UM eHealth Unit, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0002-0912-6043
Soo-Hwang TeoCancer Research Malaysia, Subang Jaya, Malaysia.ORCID 0000-0002-0444-590X
Abdul Rashid AneesaDepartment of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Jalan Universiti 1, Serdang, 43400, Malaysia, 60 0122325659.ORCID 0000-0002-7944-1364
Chin Hai TeoUM eHealth Unit, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0003-0642-9759
Fakhrul Zaman Rokhani *Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia.ORCID 0000-0001-6449-8184
Nuzul Azam Haron *Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia.ORCID 0000-0002-4745-8970
Noor Harzana Harrun *Klinik Kesihatan Pandamaran, Ministry of Health Malaysia, Klang, Malaysia.ORCID 0009-0002-4475-9652
Bee Kiau Ho *Klinik Kesihatan Bandar Botanic, Ministry of Health Malaysia, Klang, Malaysia.ORCID 0000-0002-0848-2580
Salbiah Mohamed Isa *Klinik Kesihatan Bandar Botanic, Ministry of Health Malaysia, Klang, Malaysia.ORCID 0009-0002-8892-9932

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health interventions such as web health applications significantly enhance screening accessibility and uptake, particularly for individuals with low literacy and income levels. By involving stakeholders-including health care professionals, patients, and technical experts-an intervention can be tailored to effectively meet the users' needs, ensuring contextual relevance for better acceptance and impact. Objective: The aim of this study is to prioritize the content and user interface appropriate for developing a web health application, known as the MAwar app, to promote breast and cervical cancer screening. Methods: A cross-sectional study for stakeholder engagement was conducted to develop a web-based application known as the MAwar app as part of a larger study entitled "The Effectiveness of an Interactive Web Application to Motivate and Raise Awareness on Early Detection of Breast and Cervical Cancers (The MAwar study)". The stakeholder engagement process was conducted in a public health district that oversees 12 public primary care clinics with existing cervical and breast cancer screening programs. We purposively selected the stakeholders for their relevant roles in breast and cervical cancer screening (health care staff, patients, and public representatives), as well as expertise in software and user interface design (technology experts). The Quality Function Deployment method was used to reflect the priorities of diverse stakeholders (health care, technology experts, patients, and public representatives) in its design. The Quality Function Deployment method facilitated the translation of stakeholder perspectives into app features. Stakeholders rated features on a scale from 1 (least important) to 5 (most important), ensuring the app's design resonated with user needs. The correlations between the "WHATs" (user requirements) and the "HOWs" (technical requirements) were scored using a 3-point ordinal scale, with 1 indicating weak correlation, 5 indicating medium correlation, and 9 indicating the strongest correlation. Results: A total of 13 stakeholders participated in the study, including women who had either underwent or never had health screening, a health administrator, a primary care physician, medical officers, nurses, and software designers. Stakeholder evaluations highlighted cost-free access (mean 4.64, SD 0.81), comprehensive cancer information (mean 4.55, SD 0.69), detailed screening benefits (mean 4.45, SD 0.68), detailed screening facilities (mean 4.45, SD 0.68) and personalized risk calculator for breast and cervical cancers (mean 4.45, SD 0.68) as essential priorities of the app. The highest-ranked features include detailed information on screening procedures (weighted score [WS]=367.84), information on treatment options (WS=345.80), benefits of screening (WS=333.75), information about breast and cervical cancers (WS=332.15), and frequently asked questions about the concerns around screening (WS=312.00). Conclusions: The MAwar app, conceived through a collaborative, stakeholder-driven process, represents a significant step in leveraging digital health solutions to tackle cancer screening disparities. By prioritizing accessibility, information quality, and clarity on benefits, the app promises to encourage early cancer detection and management for targeted communities.

Indexed as

Breast NeoplasmsEarly Detection of CancerMass ScreeningMobile ApplicationsPatient Acceptance of Health CareStakeholder ParticipationUterine Cervical NeoplasmsAdultCross-Sectional StudiesFemaleHumansInternetMiddle Agedcancer screeningQuality Function Deploymentstakeholder engagementweb health app

Identifiers

PMID40177938
PMCPMC11970565

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.