CognitionNCT07161674
WhatsApp Intervention for Seniors' Digital and Cognitive Management (WISDOM)
A study testing Digital health literacy program in people with Cognition and Aged, run by National University of Singapore at 1 site in Singapore.
Trial summary
The goal of this clinical trial is to learn if a digital health literacy program using mobile phone chat-based application called WISDOM (WhatsApp Intervention for Seniors' Digital and cOgnitive Management) can help older adults in Singapore with fewer resources improve their digital health skills and support brain… Read more about this study
- Who is it for?
- Ages 60 years and olderHealthy volunteers can take part
- Conditions the study is for
- Cognition, Aged, Digital Health Literacy
- What is being tested?
- Digital health literacy program
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 140 participants
- Where
- 1 siteSingapore
- Study dates
- 15 Sep 2025to 28 Feb 2027
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 60 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Age 60 years and above
- Own a smartphone
- Received up to primary school education or lesser
- Able to converse and read English or Mandarin
Who cannot join
- Diagnosed with dementia or at risk of dementia (MoCA) ≤ 23/24
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Singapore1 site
NTUC Health Active Ageing Centre (West Cluster)
Singapore, Singapore, 408935
Vincent Lau, 6597845986, vincent.l@ntuchealth.sg
Jacob Ng, 6587118714, jacob.n@ntuchealth.sg
About this study
Official title: WhatsApp Intervention for Seniors' Digital and Cognitive Management (WISDOM): a Mixed-methods Pilot Study
The goal of this clinical trial is to learn if a digital health literacy program using mobile phone chat-based application called WISDOM (WhatsApp Intervention for Seniors' Digital and cOgnitive Management) can help older adults in Singapore with fewer resources improve their digital health skills and support brain health.
The main questions it aims to answer are:
Read more
- Is it feasible to run WISDOM in senior centres, and will participants join and stay in the program?
- Does WISDOM help older adults find and use online health information?
- Does WISDOM help older adults make health decisions and impact brain functions?
- What do participants think about WISDOM, and how can it be improved?
Researchers will compare two groups:
- WISDOM group: Participants will join a 6-week program with face-to-face learning sessions and WhatsApp activities about digital health skills. Extra support will be given if needed.
- Control group: Participants will continue with their usual activities at the senior centres.
Participants in the WISDOM group will:
- Join weekly face-to-face sessions for 6 weeks
- Use WhatsApp to complete learning activities
Read the detailed description
Promoting lifelong learning and digital usage are forms of cognitive stimulation that foster cognitive flexibility and connectivity with information and social networks. Functional imaging research has shown that older adults who were previously internet naïve demonstrated increased brain neural activity after learning to search online. Other studies reported that older adults who underwent in-person digital literacy programs involving internet searches, messaging, photography, and mobile application use showed improvements in overall cognition, episodic memory, and processing speed. Knowledge and skills gained through learning also promoted empowerment, psychosocial well-being, and improved quality of life.
In Singapore, formal and non-formal learning among older adults remains low, with only 13.2% participating, and those who do often have higher socioeconomic status. Socially disadvantaged older adults rarely take part, even though learning engagement has been found to improve subjective well-being more strongly in this group. Volunteer-led, one-to-one digital literacy programs for older adults with low socioeconomic status have shown promise but were resource-intensive. Thus, innovative, accessible, and affordable approaches are needed.
Chat-based applications offer a potential platform for informal learning among older adults, as they support multimedia attachments, real-time messaging, and videoconferencing. WhatsApp is a common chat-based application widely used by older adults in Singapore. Previous studies have reported positive health and behavioral outcomes of chat-based interventions in areas such as smoking cessation, diabetes, breastfeeding, and depression. However, evidence for digital health literacy interventions using mobile-based chat-based platform to promote digital health literacy skills among older adults.
This study will pilot WISDOM (WhatsApp Intervention for Seniors' Digital and cOgnitive Management) to assess feasibility and explore its potential benefits among socially disadvantaged older adults. A mixed methods design will be adopted. Four active ageing centres will be randomized into two WISDOM and two control groups. About 140 older adults with low socioeconomic status will be recruited.
The WISDOM program will last 6 weeks and include face-to-face sessions and WhatsApp-based learning. Weekly topics include, but not limited, to basics of operating search engines, websites, and mobile applications, searching online health information using Google and YouTube, evaluating the reliability of health information and applying online health information.
Participants in the WISDOM group may receive additional support where needed. A subset of participants will join qualitative interviews to share their experiences and provide feedback.
Data will be collected at three timepoints: baseline (pre-test), post-test 1 (week 7), and post-test 2 (3 months after completion) to monitor changes in digital health literacy and cognitive outcomes. Quantitative analyses will include repeated measures approaches, and qualitative data will be analyzed thematically.
This pilot study will provide insights into feasibility, acceptability, and preliminary effectiveness of WISDOM as a potentially scalable, low-resource intervention to improve digital health literacy and cognition among socially disadvantaged older adults in the community.
- Conditions
- Cognition, Aged, Digital Health Literacy
- Being tested
- Digital health literacy program
- Keywords
- Digital health literacy, Cognitive health, Cognitive function, Older adults, Aging population, Community-based intervention, Health information seeking, Singapore, Feasibility study, Mixed methods study, WhatsApp intervention
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Digital health literacy programBehavioural
A 6-week digital health literacy program delivered through weekly face-to-face training sessions and WhatsApp activities. Additional support may be provided if needed.
| Study group | Role | What they receive |
|---|---|---|
| WISDOM Intervention | Experimental | Participants in this arm will take part in the WISDOM program (WhatsApp Intervention for Seniors' Digital and cOgnitive Management). The program lasts 6 weeks and includes weekly face-to-face training sessions combined with WhatsApp-based learning activities focused on digital health literacy skills. Additional support may be offered to participants who require extra assistance. Receives: Behavioral: Digital health literacy program |
| Control (Usual Care) | No intervention | Participants in this arm will continue with the usual activities provided at their active ageing centres. They will not receive the structured WISDOM program during the study period. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Digital health literacy competency
Competency in digital health literacy will be measured using the 21-item Digital Health Literacy Instrument (DHLI). The DHLI includes seven domains: operational skills, navigation skills, information searching, evaluating reliability, determining relevance, adding self-generated content, and protecting privacy. Internal consistency for the tool is α=0.87. In addition to the self-reported items, seven performance-based items will also be included for objective evaluation.
Measured: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Secondary outcomes (8)
Perceived usefulness of online health information
Measured using a 4-item adapted subscale from the Technology Acceptance Model 3 tool (α=0.92).
Measured: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Perceived ease of using online health information
Measured using a 4-item adapted subscale from the Technology Acceptance Model 3 tool (α=0.93).
Measured: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Attitudes towards online health information
Measured using a 5-item subscale of the Health Impact Questionnaire (α=0.77).
Measured: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Use of online health information
Measured using a 4-item validated scale (α=0.82).
Measured: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Changes in health behaviour and decision-making using internet-based health information
Measured using a modified 9-item scale assessing health behaviour change related to online health information.
Measured: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Cognitive function
Measured using the Montreal Cognitive Assessment (MoCA), a 30-point validated screening tool for global cognition.
Measured: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Cognitive domains (working memory, executive function, visuospatial coordination, psychomotor speed, attention)
Measured using Thinc-it, a validated computerized battery of cognitive tests. Thinc-it is not used for screening or diagnostic purposes but to explore cognition in detail.
Measured: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Social support networks
Measured using the 6-item Abbreviated Lubben Social Network Scale, which assesses family and friend support (α=0.83).
Measured: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted9 Sep 2025
- Study start15 Sep 2025 (estimated)
- Primary completion30 Jun 2026 (estimated)
- Study completion28 Feb 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (10)Papers the sponsor has linked to this study.
- Other trials for CognitionStudies of the same condition, open and under way.
- More trials run by National University of SingaporeThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- This study uses a pilot cluster randomization design, with four active ageing centres randomized into two intervention and two control groups.
- Masking
- None (open label)
- Enrolment
- 140 participants (estimated)
Sponsor and investigators
- Lead sponsor
- National University of Singapore
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Seah Betsy, National University of Singapore
- Investigators
- Betsy Seah, PhD, BSc (Nursing)(Hons), RN, Principal investigator, National University of Singapore, Alice Lee Centre for Nursing Studies
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07161674
- Sponsor's protocol ID
- NUS-IRB-2024-1036
- Status last verified
- Aug 2025
- First submitted
- 2 Sep 2025
- Last updated
- 9 Sep 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Individual participant data (IPD) will not be shared because this is a small pilot feasibility study involving socially disadvantaged older adults in Singapore. Sharing of IPD is not planned due to privacy, ethical, and institutional data protection requirements under Singapore's Personal Data Protection Act (PDPA). Only aggregate results will be reported in publications and presentations.
Publications
Wang MP, Luk TT, Wu Y, Li WH, Cheung DY, Kwong AC, Lai V, Chan SS, Lam TH. Chat-based instant messaging support integrated with brief interventions for smoking cessation: a community-based, pragmatic, cluster-randomised controlled trial. Lancet Digit Health. 2019 Aug;1(4):e183-e192. doi: 10.1016/S2589-7500(19)30082-2. Epub 2019 Jul 31.
PubMed 33323188Tian Y, Zhang S, Huang F, Ma L. Comparing the Efficacies of Telemedicine and Standard Prenatal Care on Blood Glucose Control in Women With Gestational Diabetes Mellitus: Randomized Controlled Trial. JMIR Mhealth Uhealth. 2021 May 25;9(5):e22881. doi: 10.2196/22881.
PubMed 33783365Small GW, Lee J, Kaufman A, Jalil J, Siddarth P, Gaddipati H, Moody TD, Bookheimer SY. Brain health consequences of digital technology use . Dialogues Clin Neurosci. 2020 Jun;22(2):179-187. doi: 10.31887/DCNS.2020.22.2/gsmall.
PubMed 32699518Scazufca M, Nakamura CA, Seward N, Didone TVN, Moretti FA, Oliveira da Costa M, Queiroz de Souza CH, Macias de Oliveira G, Souza Dos Santos M, Pereira LA, Mendes de Sa Martins M, van de Ven P, Hollingworth W, Peters TJ, Araya R. Self-help mobile messaging intervention for depression among older adults in resource-limited settings: a randomized controlled trial. Nat Med. 2024 Apr;30(4):1127-1133. doi: 10.1038/s41591-024-02864-4. Epub 2024 Mar 14.
PubMed 38486075Ngiam NHW, Yee WQ, Teo N, Yow KS, Soundararajan A, Lim JX, Lim HA, Tey A, Tang KWA, Tham CYX, Tan JPY, Lu SY, Yoon S, Ng KYY, Low LL. Building Digital Literacy in Older Adults of Low Socioeconomic Status in Singapore (Project Wire Up): Nonrandomized Controlled Trial. J Med Internet Res. 2022 Dec 2;24(12):e40341. doi: 10.2196/40341.
PubMed 36459398Mohamad Pilus F, Ahmad N, Mohd Zulkefli NA, Mohd Shukri NH. Effect of Face-to-Face and WhatsApp Communication of a Theory-Based Health Education Intervention on Breastfeeding Self-Efficacy (SeBF Intervention): Cluster Randomized Controlled Field Trial. JMIR Mhealth Uhealth. 2022 Sep 14;10(9):e31996. doi: 10.2196/31996.
PubMed 36103244Li Y, Shi H, Yuan Y, Zeng R, Bai B, Sun L. The impact of learning engagement on the subjective well-being of disadvantaged older adults in China. Front Public Health. 2023 Jul 18;11:1196692. doi: 10.3389/fpubh.2023.1196692. eCollection 2023.
PubMed 37533528Lee H, Lim JA, Nam HK. Effect of a Digital Literacy Program on Older Adults' Digital Social Behavior: A Quasi-Experimental Study. Int J Environ Res Public Health. 2022 Sep 29;19(19):12404. doi: 10.3390/ijerph191912404.
PubMed 36231707Chan MY, Haber S, Drew LM, Park DC. Training Older Adults to Use Tablet Computers: Does It Enhance Cognitive Function? Gerontologist. 2016 Jun;56(3):475-84. doi: 10.1093/geront/gnu057. Epub 2014 Jun 13.
PubMed 24928557Andre L, Giulioli C, Piau A, Bongard V, Richard E, Moll van Charante EP, Coley N, Andrieu S; PRODEMOS consortium. Telephone and Smartphone-Based Interventions for Cognitive and Cardio-Metabolic Health in Middle-Aged and Older Adults: A Systematic Review. Clin Interv Aging. 2022 Nov 10;17:1599-1624. doi: 10.2147/CIA.S352137. eCollection 2022.
PubMed 36393902
Study at a glance
From the registry record, last updated by the sponsor on 9 Sep 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- WhatsApp Intervention for Seniors' Digital and Cognitive Management (WISDOM): a Mixed-methods Pilot Study
- ClinicalTrials.gov ID
- NCT07161674
- Acronym / sponsor ID
- NUS-IRB-2024-1036
- Conditions
- Cognition, Aged, Digital Health Literacy
- Keywords
- Digital health literacy, Cognitive health, Cognitive function, Older adults, Aging population, Community-based intervention, Health information seeking, Singapore
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 140 participants (estimated)
- Lead sponsor
- National University of SingaporeUniversity, hospital or other
- Study start
- 15 Sep 2025 (estimated)
- Primary completion
- 30 Jun 2026 (estimated)
- Study completion
- 28 Feb 2027 (estimated)
- First posted
- 9 Sep 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The goal of this clinical trial is to learn if a digital health literacy program using mobile phone chat-based application called WISDOM (WhatsApp Intervention for Seniors' Digital and cOgnitive Management) can help older adults in Singapore with fewer resources improve their digital health skills and support brain health.
The main questions it aims to answer are:
- Is it feasible to run WISDOM in senior centres, and will participants join and stay in the program?
- Does WISDOM help older adults find and use online health information?
- Does WISDOM help older adults make health decisions and impact brain functions?
- What do participants think about WISDOM, and how can it be improved?
Researchers will compare two groups:
- WISDOM group: Participants will join a 6-week program with face-to-face learning sessions and WhatsApp activities about digital health skills. Extra support will be given if needed.
- Control group: Participants will continue with their usual activities at the senior centres.
Participants in the WISDOM group will:
- Join weekly face-to-face sessions for 6 weeks
- Use WhatsApp to complete learning activities
Detailed description
Promoting lifelong learning and digital usage are forms of cognitive stimulation that foster cognitive flexibility and connectivity with information and social networks. Functional imaging research has shown that older adults who were previously internet naïve demonstrated increased brain neural activity after learning to search online. Other studies reported that older adults who underwent in-person digital literacy programs involving internet searches, messaging, photography, and mobile application use showed improvements in overall cognition, episodic memory, and processing speed. Knowledge and skills gained through learning also promoted empowerment, psychosocial well-being, and improved quality of life.
In Singapore, formal and non-formal learning among older adults remains low, with only 13.2% participating, and those who do often have higher socioeconomic status. Socially disadvantaged older adults rarely take part, even though learning engagement has been found to improve subjective well-being more strongly in this group. Volunteer-led, one-to-one digital literacy programs for older adults with low socioeconomic status have shown promise but were resource-intensive. Thus, innovative, accessible, and affordable approaches are needed.
Chat-based applications offer a potential platform for informal learning among older adults, as they support multimedia attachments, real-time messaging, and videoconferencing. WhatsApp is a common chat-based application widely used by older adults in Singapore. Previous studies have reported positive health and behavioral outcomes of chat-based interventions in areas such as smoking cessation, diabetes, breastfeeding, and depression. However, evidence for digital health literacy interventions using mobile-based chat-based platform to promote digital health literacy skills among older adults.
This study will pilot WISDOM (WhatsApp Intervention for Seniors' Digital and cOgnitive Management) to assess feasibility and explore its potential benefits among socially disadvantaged older adults. A mixed methods design will be adopted. Four active ageing centres will be randomized into two WISDOM and two control groups. About 140 older adults with low socioeconomic status will be recruited.
The WISDOM program will last 6 weeks and include face-to-face sessions and WhatsApp-based learning. Weekly topics include, but not limited, to basics of operating search engines, websites, and mobile applications, searching online health information using Google and YouTube, evaluating the reliability of health information and applying online health information.
Participants in the WISDOM group may receive additional support where needed. A subset of participants will join qualitative interviews to share their experiences and provide feedback.
Data will be collected at three timepoints: baseline (pre-test), post-test 1 (week 7), and post-test 2 (3 months after completion) to monitor changes in digital health literacy and cognitive outcomes. Quantitative analyses will include repeated measures approaches, and qualitative data will be analyzed thematically.
This pilot study will provide insights into feasibility, acceptability, and preliminary effectiveness of WISDOM as a potentially scalable, low-resource intervention to improve digital health literacy and cognition among socially disadvantaged older adults in the community.
Study design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- This study uses a pilot cluster randomization design, with four active ageing centres randomized into two intervention and two control groups.
| Arm | Type | Receives |
|---|---|---|
| WISDOM Intervention | Experimental | Behavioral: Digital health literacy programParticipants in this arm will take part in the WISDOM program (WhatsApp Intervention for Seniors' Digital and cOgnitive Management). The program lasts 6 weeks and includes weekly face-to-face training sessions combined with WhatsApp-based learning activities focused on digital health literacy skills. Additional support may be offered to participants who require extra assistance. |
| Control (Usual Care) | No intervention | –Participants in this arm will continue with the usual activities provided at their active ageing centres. They will not receive the structured WISDOM program during the study period. |
Who may qualify
- Ages
- 60 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- Age 60 years and above
- Own a smartphone
- Received up to primary school education or lesser
- Able to converse and read English or Mandarin
Key exclusion criteria (1 listed)
- Diagnosed with dementia or at risk of dementia (MoCA) ≤ 23/24
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Digital health literacy programA 6-week digital health literacy program delivered through weekly face-to-face training sessions and WhatsApp activities. Additional support may be provided if needed. | Behavioural | WISDOM Intervention |
Primary outcome
Digital health literacy competency
Time frame: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Competency in digital health literacy will be measured using the 21-item Digital Health Literacy Instrument (DHLI). The DHLI includes seven domains: operational skills, navigation skills, information searching, evaluating reliability, determining relevance, adding self-generated content, and protecting privacy. Internal consistency for the tool is α=0.87. In addition to the self-reported items, seven performance-based items will also be included for objective evaluation.
8 secondary outcomes
Perceived usefulness of online health information
Time frame: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Perceived ease of using online health information
Time frame: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Attitudes towards online health information
Time frame: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Use of online health information
Time frame: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Changes in health behaviour and decision-making using internet-based health information
Time frame: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Cognitive function
Time frame: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Cognitive domains (working memory, executive function, visuospatial coordination, psychomotor speed, attention)
Time frame: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Social support networks
Time frame: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 9 Sep 2025.
- Results publication: PubMed 33323188Wang MP, Luk TT, Wu Y, Li WH, Cheung DY, Kwong AC, Lai V, Chan SS, Lam TH. Chat-based instant messaging support integrated with brief interventions for smoking cessation: a community-based, pragmatic, cluster-randomised controlled trial. Lancet Digit Health. 2019 Aug;1(4):e183-e192. doi: 10.1016/S2589-7500(19)30082-2. Epub 2019 Jul 31.
- Results publication: PubMed 33783365Tian Y, Zhang S, Huang F, Ma L. Comparing the Efficacies of Telemedicine and Standard Prenatal Care on Blood Glucose Control in Women With Gestational Diabetes Mellitus: Randomized Controlled Trial. JMIR Mhealth Uhealth. 2021 May 25;9(5):e22881. doi: 10.2196/22881.
- Results publication: PubMed 32699518Small GW, Lee J, Kaufman A, Jalil J, Siddarth P, Gaddipati H, Moody TD, Bookheimer SY. Brain health consequences of digital technology use . Dialogues Clin Neurosci. 2020 Jun;22(2):179-187. doi: 10.31887/DCNS.2020.22.2/gsmall.
- Results publication: PubMed 38486075Scazufca M, Nakamura CA, Seward N, Didone TVN, Moretti FA, Oliveira da Costa M, Queiroz de Souza CH, Macias de Oliveira G, Souza Dos Santos M, Pereira LA, Mendes de Sa Martins M, van de Ven P, Hollingworth W, Peters TJ, Araya R. Self-help mobile messaging intervention for depression among older adults in resource-limited settings: a randomized controlled trial. Nat Med. 2024 Apr;30(4):1127-1133. doi: 10.1038/s41591-024-02864-4. Epub 2024 Mar 14.
- Results publication: PubMed 36459398Ngiam NHW, Yee WQ, Teo N, Yow KS, Soundararajan A, Lim JX, Lim HA, Tey A, Tang KWA, Tham CYX, Tan JPY, Lu SY, Yoon S, Ng KYY, Low LL. Building Digital Literacy in Older Adults of Low Socioeconomic Status in Singapore (Project Wire Up): Nonrandomized Controlled Trial. J Med Internet Res. 2022 Dec 2;24(12):e40341. doi: 10.2196/40341.
- Results publication: PubMed 36103244Mohamad Pilus F, Ahmad N, Mohd Zulkefli NA, Mohd Shukri NH. Effect of Face-to-Face and WhatsApp Communication of a Theory-Based Health Education Intervention on Breastfeeding Self-Efficacy (SeBF Intervention): Cluster Randomized Controlled Field Trial. JMIR Mhealth Uhealth. 2022 Sep 14;10(9):e31996. doi: 10.2196/31996.
- Results publication: PubMed 37533528Li Y, Shi H, Yuan Y, Zeng R, Bai B, Sun L. The impact of learning engagement on the subjective well-being of disadvantaged older adults in China. Front Public Health. 2023 Jul 18;11:1196692. doi: 10.3389/fpubh.2023.1196692. eCollection 2023.
- Results publication: PubMed 36231707Lee H, Lim JA, Nam HK. Effect of a Digital Literacy Program on Older Adults' Digital Social Behavior: A Quasi-Experimental Study. Int J Environ Res Public Health. 2022 Sep 29;19(19):12404. doi: 10.3390/ijerph191912404.
- Results publication: PubMed 24928557Chan MY, Haber S, Drew LM, Park DC. Training Older Adults to Use Tablet Computers: Does It Enhance Cognitive Function? Gerontologist. 2016 Jun;56(3):475-84. doi: 10.1093/geront/gnu057. Epub 2014 Jun 13.
- Results publication: PubMed 36393902Andre L, Giulioli C, Piau A, Bongard V, Richard E, Moll van Charante EP, Coley N, Andrieu S; PRODEMOS consortium. Telephone and Smartphone-Based Interventions for Cognitive and Cardio-Metabolic Health in Middle-Aged and Older Adults: A Systematic Review. Clin Interv Aging. 2022 Nov 10;17:1599-1624. doi: 10.2147/CIA.S352137. eCollection 2022.
- Older Singaporeans have low participation in learning. Programs show benefits but barriers remain, especially for socially disadvantaged groups.Link provided by the sponsor.
- Individual participant dataSharing planned: No. Individual participant data (IPD) will not be shared because this is a small pilot feasibility study involving socially disadvantaged older adults in Singapore. Sharing of IPD is not planned due to privacy, ethical, and institutional data protection requirements under Singapore's Personal Data Protection Act (PDPA). Only aggregate results will be reported in publications and presentations.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Betsy Seah, PhD, BSc (Nursing)(Hons), RN principal investigator
National University of Singapore, Alice Lee Centre for Nursing Studies
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Digital health literacy program in people with Cognition and Aged, run by National University of Singapore at 1 site in Singapore.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 9 Sep 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Singapore. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Betsy Seah, PhD, BSc (Nursing)(Hons), RN (6566013213, nurseah@nus.edu.sg), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Digital health literacy competency (time frame: Baseline, week 7 (post-test 1), and 3 months after intervention (post-test 2).). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07161674, which also lists 10 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 9 Sep 2025.