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The use of videos for diabetes patient education: A systematic review

Hoe CYW, Ahmad B, Watterson J

Diabetes Metab Res Rev, 2024 Feb;40(2):e3722.
PMID: 37690072 DOI: 10.1002/dmrr.3722

Diabetes prevalence is rising worldwide, calling for public health concerns and interventions to improve prevention and management. Self-care is an important component in reducing the incidence of complications from diabetes, but it must be taught. This systematic review aims to synthesise the evidence for education videos for people with diabetes. Electronic databases, including Ovid (Medline, Embase, EmCare), PsychInfo, CINAHL, Web of Science and Scopus, were searched for studies on educational videos for patients with diabetes that met the inclusion criteria. A total of 36 studies met the inclusion criteria. Data extracted were synthesised through narrative synthesis. Studies examined outcomes including biological (i.e., glycated haemoglobin (HbA1C), weight, BMI), non-biological (health literacy, self-efficacy) and subjective feedback (i.e., acceptability, cultural appropriateness). The most common length of video was ≤10 min. Online dissemination was the most common method of video distribution. A statistically significant decrease (ranging from -0.1% to -2.1%) in HbA1C was noted in 7 of 12 studies examining this outcome. Other studies also found evidence of improvement in health literacy, self-efficacy, physical activity, medication adherence and other outcomes. Feedback from participants was generally positive, and emphasis was placed on the need for cultural appropriateness and representation in the educational videos.
Fulltext Multilevel interventions as climate change adaptation response to protect maternal and child health: a scoping review protocol

Lokmic-Tomkins Z, Bhandari D, Watterson J, Pollock WE, Cochrane L, Robinson E, et al.

BMJ Open, 2023 Jul 27;13(7):e073960.
PMID: 37500279 DOI: 10.1136/bmjopen-2023-073960

INTRODUCTION: Growing evidence suggests that climate change-related extreme weather events adversely impact maternal and child health (MCH) outcomes, which requires effective, sustainable and culturally appropriate interventions at individual, community and policy levels to minimise these impacts. This scoping review proposes to map the evidence available on the type, characteristics and outcomes of multilevel interventions implemented as adaptational strategies to protect MCH from the possible adverse effects of climate change.
METHODS: The following databases will be searched: Embase, MEDLINE, Emcare, EPPI-Centre database of health promotion research (BiblioMap) EPPI-Centre Database for promoting Health Effectiveness Reviews (DoPHER), Global Health, CINAHL, Joanna Briggs Institute EBP Database, Maternity and Infant Care Database, Education Resource Information Center, PsycINFO, Scopus, Web of Science and Global Index Medicus, which indexes Latin America and the Caribbean, Index Medicus for the South-East Asia Region, African Index Medicus, Western Pacific Region Index Medicus. Cochrane Central Register of Controlled Trials, WHO International Clinical Trials Registry Platform, ClinicalTrials.gov, conference proceedings, thesis and dissertations, policy and guidelines and their reference lists will also be searched. Two reviewers will independently screen titles and abstracts and full text based on predefined eligibility criteria. The Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews using the Population, Concept and Context framework and the Template for Intervention Description and Replication checklist will be used to structure and report the findings.
ETHICS AND DISSEMINATION: Ethics permission to conduct the scoping review is not required as the information collected is publicly available through databases. Findings will be disseminated through a peer-reviewed publication and conference presentations.
Fulltext Developing Climate Change and Health Impact Monitoring with eHealth at the South East Asia Community Observatory and Health and Demographic Surveillance Site, Malaysia (CHIMES)

Barteit S, Colmar D, Nellis S, Thu M, Watterson J, Gouwanda D, et al.

Front Public Health, 2023;11:1153149.
PMID: 38125843 DOI: 10.3389/fpubh.2023.1153149

BACKGROUND: Malaysia is projected to experience an increase in heat, rainfall, rainfall variability, dry spells, thunderstorms, and high winds due to climate change. This may lead to a rise in heat-related mortality, reduced nutritional security, and potential migration due to uninhabitable land. Currently, there is limited data regarding the health implications of climate change on the Malaysian populace, which hinders informed decision-making and interventions.
OBJECTIVE: This study aims to assess the feasibility and reliability of using sensor-based devices to enhance climate change and health research within the SEACO health and demographic surveillance site (HDSS) in Malaysia. We will particularly focus on the effects of climate-sensitive diseases, emphasizing lung conditions like chronic obstructive pulmonary disease (COPD) and asthma.
METHODS: In our mixed-methods approach, 120 participants (>18 years) from the SEACO HDSS in Segamat, Malaysia, will be engaged over three cycles, each lasting 3 weeks. Participants will use wearables to monitor heart rate, activity, and sleep. Indoor sensors will measure temperature in indoor living spaces, while 3D-printed weather stations will track indoor temperature and humidity. In each cycle, a minimum of 10 participants at high risk for COPD or asthma will be identified. Through interviews and questionnaires, we will evaluate the devices' reliability, the prevalence of climate-sensitive lung diseases, and their correlation with environmental factors, like heat and humidity.
RESULTS: We anticipate that the sensor-based measurements will offer a comprehensive understanding of the interplay between climate-sensitive diseases and weather variables. The data is expected to reveal correlations between health impacts and weather exposures like heat. Participant feedback will offer perspectives on the usability and feasibility of these digital tools.
CONCLUSION: Our study within the SEACO HDSS in Malaysia will evaluate the potential of sensor-based digital technologies in monitoring the interplay between climate change and health, particularly for climate-sensitive diseases like COPD and asthma. The data generated will likely provide details on health profiles in relation to weather exposures. Feedback will indicate the acceptability of these tools for broader health surveillance. As climate change continues to impact global health, evaluating the potential of such digital technologies is crucial to understand its potential to inform policy and intervention strategies in vulnerable regions.
"Mother's Health and Well-Being Matters: Is a Mediated Social Cohesion Public Health Intervention Feasible?"

Jones C, Gibbons M, Magsamen-Conrad K, Ulanday KT, Watterson J, Oakley-Girvan I, et al.

Am J Health Promot, 2022 Mar;36(3):410-420.
PMID: 34907785 DOI: 10.1177/08901171211055317

PURPOSE: To test the feasibility of introducing 'Free Time for Wellness' (FT4W) an intervention to increase healthy behaviours and reduce the risk of cancer.
DESIGN: Feasibility study; Setting: Washington Heights, New York, USA is a low socioeconomic status area.
SUBJECTS: Mothers aged 18 and above with children under 12 years of age and living in Washington Heights were recruited.
INTERVENTION: FT4W, a community-based intervention delivered through a neighbourhood-based app, offering weekly dance and yoga classes, food pantry visits and group playdates. Childcare professionals cared for participants' children during wellness activities.
MEASURES: A bespoke before and after survey was designed and tested for its ability to collect relevant data to assess the impact of FT4W. Outcomes included recruitment rates, participation, attrition, acceptability, and success of the community champion.
ANALYSIS: Comparisons of proportions and means.
RESULTS: Twenty-one mothers participated in the study of which 90% attended ≥ 1 FT4W activity; 65% ≥ 2; 52% ≥ 3. The survey was completed by a 100% of participants indicating it was easy to understand and not too burdensome. All measures detected change in constructs from baseline to follow-up. Availability of childcare was the most commonly (66%) reported reason participants were able to engage in the offered wellness activities.
CONCLUSION: Conducting a larger-scale trial to assess the impact of FT4W is feasible considering 4 major lessons. (1) Recruitment, retention, and acceptability rates were high; however, moms need additional support to increase participation in wellness activities and improve tech literacy. (2) Research measures were sensitive enough to detect change, but the timing of assessments needs to be considered. (3) Participants greatly valued access to professional childcare. (4) The Community Champion is a necessary, but difficult role to fill that requires careful consideration by the Institutional Review Board (IRB).
Fulltext Feasibility of cardiac-based seizure detection and prediction: A systematic review of non-invasive wearable sensor-based studies

Seth EA, Watterson J, Xie J, Arulsamy A, Md Yusof HH, Ngadimon IW, et al.

Epilepsia Open, 2024 Feb;9(1):41-59.
PMID: 37881157 DOI: 10.1002/epi4.12854

A reliable seizure detection or prediction device can potentially reduce the morbidity and mortality associated with epileptic seizures. Previous findings indicating alterations in cardiac activity during seizures suggest the usefulness of cardiac parameters for seizure detection or prediction. This study aims to examine available studies on seizure detection and prediction based on cardiac parameters using non-invasive wearable devices. The Embase, PubMed, and Scopus databases were used to systematically search according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Human studies that evaluated seizure detection or prediction based on cardiac parameters collected using wearable devices were included. The QUADAS-2 tool and proposed standards for validation for seizure detection devices were used for quality assessment. Twenty-four articles were identified and included in the analysis. Twenty studies evaluated seizure detection algorithms, and four studies focused on seizure prediction. Most studies used either a wrist-worn or chest-worn device for data acquisition. Among the seizure detection studies, cardiac parameters utilized for the algorithms mainly included heart rate (HR) (n = 11) or a combination of HR and heart rate variability (HRV) (n = 6). HR-based seizure detection studies collectively reported a sensitivity range of 56%-100% and a false alarm rate (FAR) of 0.02-8/h, with most studies performing retrospective validation of the algorithms. Three of the seizure prediction studies retrospectively validated multimodal algorithms, combining cardiac features with other physiological signals. Only one study prospectively validated their seizure prediction algorithm using HRV extracted from ECG data collected from a custom wearable device. These studies have demonstrated the feasibility of using cardiac parameters for seizure detection and prediction with wearable devices, with varying algorithmic performance. Many studies are in the proof-of-principle stage, and evidence for real-time detection or prediction is currently limited. Future studies should prioritize further refinement of the algorithm performance with prospective validation using large-scale longitudinal data. PLAIN LANGUAGE SUMMARY: This systematic review highlights the potential use of wearable devices, like wristbands, for detecting and predicting seizures via the measurement of heart activity. By reviewing 24 articles, it was found that most studies focused on using heart rate and changes in heart rate for seizure detection. There was a lack of studies looking at seizure prediction. The results were promising but most studies were not conducted in real-time. Therefore, more real-time studies are needed to verify the usage of heart activity-related wearable devices to detect seizures and even predict them, which will be beneficial to people with epilepsy.
Fulltext Collective Action for Wellness in the Malaysian Workplace: Protocol for a Feasibility Study

Thai JY, McCaffrey T, Ramadas A, Chandrasekara D, Koh SGM, Choi TST, et al.

JMIR Res Protoc, 2022 Dec 05;11(12):e39238.
PMID: 36469407 DOI: 10.2196/39238

BACKGROUND: Chronic diseases and the associated risk factors are preventable with lifestyle changes such as eating a healthier diet and being more physically active. In Malaysia, the prevalence of chronic diseases, including diabetes, hypertension, and heart diseases, has risen. In the present study, we explore the potential of co-designing and implementing a digital wellness intervention to promote socially-driven health knowledge and practices in the workplace in Malaysia, drawing on social cognitive theory, social impact theory, and social influence theory.
OBJECTIVE: This study aims to co-design and assess the feasibility of a socially-driven digital health intervention to promote healthy behavior and prevent chronic diseases in a workplace in Malaysia.
METHODS: This study involves two phases: (i) identifying the barriers and facilitators to healthy behaviors at work and co-designing the intervention activities with the employees, (ii) implementing and evaluating the intervention's feasibility. Phase 1 will involve qualitative data collection and analysis through semi-structured, in-depth interviews and co-design workshops with the employees, while Phase 2 will consist of a feasibility study employing quantitative measurements of health behaviors through accelerometers and questionnaires.
RESULTS: This study was funded in June 2021 and ethics approval for Phase 1 was obtained from the Monash University Human Research Ethics Committee in January 2022. As of August 2022, qualitative interviews with 12 employees have been completed and the data has been transcribed and analyzed. These results will be published in a future paper with results from all Phase 1 activities.
CONCLUSIONS: The study will help us to better understand the mechanisms through which digital technologies can promote socially-driven health knowledge and behaviors. This research will also result in a scalable wellness intervention that could be further tailored and expanded to other employers and social groups across the region.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/39238.