Effectiveness of a Web-based Intervention to Promote Health Screening in Men

NCT03583840 | Unknown

• 1 other identifier: RP041A-15HTM
• Study Type: interventional
• Target: 220
• Locations: 1 country
• Sites: 1

Brief Summary

Health screening is proven to be effective in reducing morbidity, death and healthcare cost. However, the uptake of health screening is low particularly in men. In the earlier phase of this project, a web-based intervention (ScreenMen) to increase health screening uptake in men was developed based on theories, evidence and user needs. It was tested with experts and users for its utility and usability. In this phase, a randomised controlled trial (RCT) will be conducted to evaluate the effectiveness of ScreenMen in improving health screening knowledge \& uptake in men. Healthy men, who have not gone for screening in the past 1 year will be recruited via Facebook to participate in this RCT. The participants will be randomised to receive or not to receive ScreenMen. Knowledge and intention to screen will be measured immediately post-intervention. All participants will be followed up at 1 month and 3 months to measure knowledge, intention and actual uptake of screening.

Conditions

Mass Screening; Preventive Health Services

Keywords

men's health; internet; telemedicine; mass screening; health behavior

Outcome Measures

Primary Outcomes (2)

• Number of participants who have undergone health screening

  A questionnaire will be sent to the participants 1 month after using the intervention (ScreenMen web) to assess whether they have undergone health screening. The number of participants who have undergone health screening will be divided over the total number of participants in this study to obtain the proportion and according to study arm. Uptake at 1 month Intervention: %= n / N \*100%; Control: %= n / N \*100%

  1 month post-intervention

• Number of participants who have undergone health screening

  Participants who reported that they have not undergone health screening during the 1-month follow up will be followed up at 3-month. They will be asked whether they have undergone health screening up to this stage. The number of participants who have undergone health screening (including those from 1-month follow up) will be divided over the total number of participants in this study to obtain the proportion and according to study arm. Uptake at 3 month (including those reported yes in 1-month follow up) Intervention: %= n / N \*100%; Control: %= n / N \*100%

  3 months post-intervention

Secondary Outcomes (6)

• Change in intention (months) to undergo health screening

  Immediately post-intervention

• Change in intention (months) to undergo health screening

  1 month post-intervention

• Change in intention (months) to undergo health screening

  3 months post-intervention

• Change in knowledge on health screening

  Immediately post-intervention

• Change in knowledge on health screening

  1 month post-intervention

Study Arms (2)

Control group

NO INTERVENTION

Participants who will not be directed to the ScreenMen website

Intervention group

EXPERIMENTAL

Participants who will be directed to the ScreenMen website

Behavioral: ScreenMen website

Interventions

ScreenMen website BEHAVIORAL

An educational website that aims to improve evidence-based health screening uptake in men

Intervention group

Eligibility Criteria

• Age: 18 Years+
• Sex: male
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Male
• year old and above
• Own a smart phone

You may not qualify if:

• Undergone health screening within the past 1 year
• Diagnosed with any of the following diseases (Hypertension, Diabetes, High cholesterol, Colorectal cancer, Lung cancer, Hepatitis B, Hepatitis C, HIV

Sponsors & Collaborators

• University of Malaya: lead
• Leeds Beckett University: collaborator
• University of Sheffield: collaborator
• The University of New South Wales: collaborator

Study Sites (1)

University of Malaya

Kuala Lumpur, Malaysia

Location

Related Publications (8)

• Bauermeister JA, Pingel ES, Jadwin-Cakmak L, Harper GW, Horvath K, Weiss G, Dittus P. Acceptability and preliminary efficacy of a tailored online HIV/STI testing intervention for young men who have sex with men: the Get Connected! program. AIDS Behav. 2015 Oct;19(10):1860-74. doi: 10.1007/s10461-015-1009-y.

  PMID: 25638038 BACKGROUND

• Evans R, Joseph-Williams N, Edwards A, Newcombe RG, Wright P, Kinnersley P, Griffiths J, Jones M, Williams J, Grol R, Elwyn G. Supporting informed decision making for prostate specific antigen (PSA) testing on the web: an online randomized controlled trial. J Med Internet Res. 2010 Aug 6;12(3):e27. doi: 10.2196/jmir.1305.

  PMID: 20693148 BACKGROUND

• Hirshfield S, Chiasson MA, Joseph H, Scheinmann R, Johnson WD, Remien RH, Shaw FS, Emmons R, Yu G, Margolis AD. An online randomized controlled trial evaluating HIV prevention digital media interventions for men who have sex with men. PLoS One. 2012;7(10):e46252. doi: 10.1371/journal.pone.0046252. Epub 2012 Oct 2.

  PMID: 23071551 BACKGROUND

• Wantland DJ, Portillo CJ, Holzemer WL, Slaughter R, McGhee EM. The effectiveness of Web-based vs. non-Web-based interventions: a meta-analysis of behavioral change outcomes. J Med Internet Res. 2004 Nov 10;6(4):e40. doi: 10.2196/jmir.6.4.e40.

  PMID: 15631964 BACKGROUND

• Schnall R, Rojas M, Bakken S, Brown W, Carballo-Dieguez A, Carry M, Gelaude D, Mosley JP, Travers J. A user-centered model for designing consumer mobile health (mHealth) applications (apps). J Biomed Inform. 2016 Apr;60:243-51. doi: 10.1016/j.jbi.2016.02.002. Epub 2016 Feb 20.

  PMID: 26903153 BACKGROUND

• Uhler LM, Perez Figueroa RE, Dickson M, McCullagh L, Kushniruk A, Monkman H, Witteman HO, Hajizadeh N. InformedTogether: Usability Evaluation of a Web-Based Decision Aid to Facilitate Shared Advance Care Planning for Severe Chronic Obstructive Pulmonary Disease. JMIR Hum Factors. 2015 Feb 25;2(1):e2. doi: 10.2196/humanfactors.3842.

  PMID: 27025896 BACKGROUND

• Verkuyl M, Atack L, Mastrilli P, Romaniuk D. Virtual gaming to develop students' pediatric nursing skills: A usability test. Nurse Educ Today. 2016 Nov;46:81-85. doi: 10.1016/j.nedt.2016.08.024. Epub 2016 Aug 25.

  PMID: 27614548 BACKGROUND

• Young SD, Cumberland WG, Lee SJ, Jaganath D, Szekeres G, Coates T. Social networking technologies as an emerging tool for HIV prevention: a cluster randomized trial. Ann Intern Med. 2013 Sep 3;159(5):318-24. doi: 10.7326/0003-4819-159-5-201309030-00005.

  PMID: 24026317 BACKGROUND

MeSH Terms

Conditions

Health Behavior

Condition Hierarchy (Ancestors)

Behavior

Study Officials

• Chirk Jenn Ng, MMed,PhD

  University of Malaya

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Masking Details: It is not possible to blind the participants as the intervention is a website. Participants in the intervention arm will need to go through the website and will know its contents while participants in the control arm will not. There is no care provider in this study as the intervention is delivered via a website. The assignment of intervention or control arm to the participants will be done automatically by the website. After signing the consent form, participants will enter a website which will randomise them to either intervention or control arm. The investigators do not play a role in this. The outcome assessment only involves the participants answering a questionnaire themselves. No Outcome Assessor is required to assess any outcome from the participants.
• Purpose: SCREENING
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Professor Dr

Study Record Dates

• First Submitted: June 18, 2018
• First Posted: July 11, 2018
• Study Start: March 27, 2019
• Primary Completion: September 1, 2019
• Study Completion: October 1, 2019
• Last Updated: July 23, 2019

Record last verified: 2019-07

Locations

MY (1)