- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06374576
Improving eHealth Literacy of Older Adults in Hong Kong
Improving eHealth Literacy of Older Adults in Hong Kong: A Randomized Controlled Trial Study
Study Overview
Status
Conditions
Detailed Description
Background: Potential positive health outcomes were related to improved eHealth literacy. It is crucial to identify the population groups that may have low eHealth literacy. This eHealth literacy trail aims to design health promotion education intervention to improve the eHealth literacy of older adults in Hong Kong.
Study design: This RCT study will be conducted at the local non-governmental organization (NGO) centers in Hong Kong. Participants in the intervention group will receive a health promotion education program for improving eHealth literacy. The education program will be delivered through collaborative learning, including a 1.5-hour lecture and a 1-week digital intervention
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Hong Kong, China
- The University of Hong Kong
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Aged 65 years old or above
- Chinese speaking
- Cognitively and mentally fit
- Understand survey questions
- Reported lower eHealth literacy scores (eHEALS < 26) in previous study
- Smartphone user
Exclusion Criteria:
- All subjects have the right to withdraw if they wish not to continue
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: Lecture on eHealth literacy and digital intervention
Participants in the intervention group will receive a health promotion education program for improving eHealth literacy.
The education program will include a 1.5-hour lecture and a 1-week digital intervention
|
There will be a lecture on eHealth literacy.
The lecture will be delivered by one well-trained lecturer.
, the lecture will be held for old adults in small groups, including a structured curriculum consisting of 4 parts: 5 minutes for the introduction, 40 minutes for the lecture and demonstration, and 40 minutes for hands-on session, 5 minutes for wrapping up.
The contents covered in the 40-minute lecture were as follows: 1) smartphone internet basics; 2) introduction of the website prepared for this study; 3) evaluation of the credibility of online health information.
1-week digital intervention, which are multiple messages about the lecture topic will be provided
|
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Placebo Comparator: Lecture on general health and digital intervention
Participants in the control group will receive a health promotion education program about general health.
The education program will include a lecture and a 1-week digital intervention
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A lecture session that focus on the general health but not eHealth literacy will be provided
1-week digital intervention, which are multiple messages about the lecture topic will be provided
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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eHealth literacy
Time Frame: Baseline, 2-week, 3- and 6-month after intervention
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eHealth literacy score will be assessed with the 8-item eHealth literacy Scale (eHEALS) on a five-point Likert scale.
The scale range from 8 to 40, higher scores means a better e-health literacy.
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Baseline, 2-week, 3- and 6-month after intervention
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Health Knowledge Learning Intention
Time Frame: Baseline, 2-week, 3- and 6-month after intervention
|
To measure the health knowledge learning intention, the three-item questionnaire were adopted and modified from existing studies.
This is a five-point Likert scale ranging from 3 to 15, with higher scores means higher health knowledge learning intention.
|
Baseline, 2-week, 3- and 6-month after intervention
|
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Online Health Information Seeking
Time Frame: Baseline, 2-week, 3- and 6-month after intervention
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Modified from the measurement adopted and revised from existing study, three-item questionnaire were used to test online health information-seeking behavior.
This is a five-point Likert scale ranging from 3 to 15, with higher scores means better online health information seeking.
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Baseline, 2-week, 3- and 6-month after intervention
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Online Health Information Scanning
Time Frame: Baseline, 2-week, 3- and 6-month after intervention
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Three-item questionnaire borrowed from existing studies were developed to measure online health information-scanning behavior.
This is a five-point Likert scale ranging from 3 to 15, with higher scores means better online health information scanning.
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Baseline, 2-week, 3- and 6-month after intervention
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Health-promotion behaviors
Time Frame: Baseline, 2-week, 3- and 6-month after intervention
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To measure health-promotion behaviors, 24 questions were developed adopted from existing studies, which contains six dimensions (Exercise, Nutrition, Self-actualization, Interpersonal Support, Health Responsibility, Stress Management), with a 4-item sub-scale allocated to each dimension.
For each sub-scale, this is a four-item Likert scale ranging from 4 to 16, with higher scores means better outcome in this dimension.
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Baseline, 2-week, 3- and 6-month after intervention
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Health Decision Change
Time Frame: Baseline, 2-week, 3- and 6-month after intervention
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Health Decision Change.
Measurements of health decision change were adapted and modified from existing studies.
A total of three items are developed to measure older adults' health decision change based on the health information acquired from their smartphones.
This is a five-point Likert scale ranging from 3 to 15, with higher scores means greater health decision change .
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Baseline, 2-week, 3- and 6-month after intervention
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Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Xie B. Effects of an eHealth literacy intervention for older adults. J Med Internet Res. 2011 Nov 3;13(4):e90. doi: 10.2196/jmir.1880.
- Norman CD, Skinner HA. eHEALS: The eHealth Literacy Scale. J Med Internet Res. 2006 Nov 14;8(4):e27. doi: 10.2196/jmir.8.4.e27.
- Walker SN, Sechrist KR, Pender NJ. The Health-Promoting Lifestyle Profile: development and psychometric characteristics. Nurs Res. 1987 Mar-Apr;36(2):76-81.
- Berkowsky RW. Exploring Predictors of eHealth Literacy Among Older Adults: Findings From the 2020 CALSPEAKS Survey. Gerontol Geriatr Med. 2021 Dec 14;7:23337214211064227. doi: 10.1177/23337214211064227. eCollection 2021 Jan-Dec.
- Pourrazavi S, Kouzekanani K, Bazargan-Hejazi S, Shaghaghi A, Hashemiparast M, Fathifar Z, Allahverdipour H. Theory-based E-health literacy interventions in older adults: a systematic review. Arch Public Health. 2020 Aug 10;78:72. doi: 10.1186/s13690-020-00455-6. eCollection 2020.
- Chang SJ, Yang E, Lee KE, Ryu H. Internet health information education for older adults: A pilot study. Geriatr Nurs. 2021 Mar-Apr;42(2):533-539. doi: 10.1016/j.gerinurse.2020.10.002. Epub 2020 Oct 19.
- Wong DK, Cheung MK. Online Health Information Seeking and eHealth Literacy Among Patients Attending a Primary Care Clinic in Hong Kong: A Cross-Sectional Survey. J Med Internet Res. 2019 Mar 27;21(3):e10831. doi: 10.2196/10831.
- Waters EA, Wheeler C, Hamilton JG. How Are Information Seeking, Scanning, and Processing Related to Beliefs About the Roles of Genetics and Behavior in Cancer Causation? J Health Commun. 2016;21(sup2):6-15. doi: 10.1080/10810730.2016.1193917. Epub 2016 Sep 23.
- Ruggiero KJ, Gros DF, McCauley J, de Arellano MA, Danielson CK. Rural adults' use of health-related information online: data from a 2006 National Online Health Survey. Telemed J E Health. 2011 Jun;17(5):329-34. doi: 10.1089/tmj.2010.0195. Epub 2011 Apr 27.
- Fisher WA, Fisher JD, Harman J. The information-motivation-behavioral skills model: A general social psychological approach to understanding and promoting health behavior. In: Social Psychological Foundations of Health and Illness. Malden, MA, USA: Blackwell Publishing Ltd; 2010. p. 82-106.
- Shang L, Zuo M. Investigating older adults' intention to learn health knowledge on social media. Educ Gerontol [Internet]. 2020;46(6):350-63.
- Ahadzadeh AS, Pahlevan Sharif S, Sim Ong F. Online health information seeking among women: the moderating role of health consciousness. Online Inf Rev [Internet]. 2018;42(1):58-72.
- Wei MH, Lu CM. Development of the short-form Chinese health-promoting lifestyle profile. J Health Educ. 2005;24:25-46.
- Song J, Li Y, Guo X, Shen KN, Ju X. Making mobile health information advice persuasive: An Elaboration Likelihood Model perspective. J Organ End User Comput [Internet]. 2022;34(4):1-22.
- Zhang L, Jung EH, Chen Z. Modeling the Pathway Linking Health Information Seeking to Psychological Well-Being on WeChat. Health Commun. 2020 Aug;35(9):1101-1112. doi: 10.1080/10410236.2019.1613479. Epub 2019 May 15.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- GCIEL
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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