METHODS: Three major databases - Web of Science (WOS), Scopus, and PubMed - for relevant studies published between 1 January 2010 and 12 February 2023 were searched for studies evaluating the effectiveness of digital intervention for smoking cessation in Asian countries.
RESULTS: A total of 25 studies of varying designs were eligible for this study collectively involving a total of n = 22,005 participants from 9 countries. Among different digital tools for smoking cessation, the highest abstinence rate (70%) was reported with cognitive behavioural theory (CBT)-based smoking cessation intervention via Facebook followed by smartphone app (60%), WhatsApp (59.9%), and Pharmacist counselling with Quit US smartphone app (58.4%). However, WhatsApp was preferred over Facebook intervention due to lower rates of relapse. WeChat was responsible for 15.6% and 41.8% 7-day point prevalence abstinence. For telephone/text messaging abstinence rate ranged from 8-44.3% and quit rates from 6.3% to 16.8%. Whereas, no significant impact of media/multimedia messages and web-based learning on smoking cessation was observed in this study.
CONCLUSION: Based on the study findings the use of digital tools can be considered an alternative and cost-effective smoking cessation intervention as compared to traditional smoking cessation interventions.
OBJECTIVE: This study aimed to develop and implement a sexting intervention module guided by the prototype willingness model (PWM), delivered using web-based animated video, and evaluate its effectiveness among diploma students from a public higher educational institution. The primary outcomes were intention and willingness to sext, while the secondary outcomes were knowledge, attitude, perceived norms, and prototype perceptions of sexting.
METHODS: This 2-armed, parallel, single-blinded cluster randomized controlled trial was conducted in a public higher educational institution in the state of Melaka, Malaysia. Diploma students from 12 programs were randomly allocated into intervention and control groups. Both groups answered a self-administered web-based questionnaire assessing the outcomes at the baseline. The intervention group received a newly developed intervention module based on the PWM in the form of 5 animated videos posted on a private YouTube platform, while the control group was put on the waitlist. The intervention group was encouraged to discuss any issues raised with the researchers via WhatsApp private chat after viewing the videos. All participants were observed immediately and 3 months postintervention. Data analysis was performed with SPSS (version 26; IBM Corp). A generalized linear mixed model was used to determine the effectiveness of the intervention.
RESULTS: There were a total of 300 participants with an attrition rate of 8.3% (n=25). After adjusting for age, sex, relationship status, and the amount of time spent on the web, there were significant differences in the intention to sext (β=-.12; P=.002; Cohen d=0.23), willingness to sext (β=-.16; P
METHODS AND ANALYSIS: A living systematic review will be conducted which includes an initial systematic review and bimonthly review updates. Searching and screening for the review and subsequent updates will be done in four streams: a systematic search of six databases, grey literature review, preprint review and citizen sourcing. The screening will be done by a minimum of two reviewers at title/abstract and full-text in Covidence, a systematic review management software. Data will be extracted across predefined fields in an excel spreadsheet that includes information about article characteristics, context and population, community engagement approaches, and outcomes. Synthesis will occur using the convergent integrated approach. We will explore the potential to quantitatively synthesise primary outcomes depending on heterogeneity of the studies.
ETHICS AND DISSEMINATION: The initial review and subsequent bimonthly searches and their results will be disseminated transparently via open-access methods. Quarterly briefs will be shared on the reviews' social media platforms and across other interested networks and repositories. A dedicated web link will be created on the Community Health-Community of Practice site for sharing findings and obtaining feedback. A mailing list will be developed and interested parties can subscribe for updates.
PROSPERO REGISTRATION NUMBER: CRD42022301996.
OBJECTIVE: The aim of this study was to identify, review, map, and summarize findings from different types of literature reviews on the use of mobile health (mHealth) technologies to improve the uptake of cancer screening.
METHODS: The review methodology was guided by the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). Ovid MEDLINE, PyscINFO, and Embase were searched from inception to May 2021. The eligible criteria included reviews that focused on studies of interventions that used mobile phone devices to promote and deliver cancer screening and described the effectiveness or implementation of mHealth intervention outcomes. Key data fields such as study aims, types of cancer, mHealth formats, and outcomes were extracted, and the data were analyzed to address the objective of the review.
RESULTS: Our initial search identified 1981 titles, of which 12 (0.61%) reviews met the inclusion criteria (systematic reviews: n=6, 50%; scoping reviews: n=4, 33%; rapid reviews: n=1, 8%; narrative reviews: n=1, 8%). Most (57/67, 85%) of the interventions targeted breast and cervical cancer awareness and screening uptake. The most commonly used mHealth technologies for increasing cancer screening uptake were SMS text messages and telephone calls. Overall, mHealth interventions increased knowledge about screening and had high acceptance among participants. The likelihood of achieving improved uptake-related outcomes increased when interventions used >1 mode of communication (telephone reminders, physical invitation letters, and educational pamphlets) together with mHealth.
CONCLUSIONS: mHealth interventions increase cancer screening uptake, although multiple modes used in combination seem to be more effective.
Methods: We searched seven databases up to July 2020 for randomized controlled trials investigating the effectiveness of telemedicine in the delivery of diabetes care in low- and middle-income countries. We extracted data on the study characteristics, primary end-points and effect sizes of outcomes. Using random effects analyses, we ran a series of meta-analyses for both biochemical outcomes and related patient properties.
Findings: We included 31 interventions in our meta-analysis. We observed significant standardized mean differences of -0.38 for glycated haemoglobin (95% confidence interval, CI: -0.52 to -0.23; I2 = 86.70%), -0.20 for fasting blood sugar (95% CI: -0.32 to -0.08; I2 = 64.28%), 0.81 for adherence to treatment (95% CI: 0.19 to 1.42; I2 = 93.75%), 0.55 for diabetes knowledge (95% CI: -0.10 to 1.20; I2 = 92.65%) and 1.68 for self-efficacy (95% CI: 1.06 to 2.30; I2 = 97.15%). We observed no significant treatment effects for other outcomes, with standardized mean differences of -0.04 for body mass index (95% CI: -0.13 to 0.05; I2 = 35.94%), -0.06 for total cholesterol (95% CI: -0.16 to 0.04; I2 = 59.93%) and -0.02 for triglycerides (95% CI: -0.12 to 0.09; I2 = 0%). Interventions via telephone and short message service yielded the highest treatment effects compared with services based on telemetry and smartphone applications.
Conclusion: Although we determined that telemedicine is effective in improving several diabetes-related outcomes, the certainty of evidence was very low due to substantial heterogeneity and risk of bias.
METHODS: We searched PubMed, EMBASE and the Cochrane Database of Systematic Reviews from database inception to 31 August 2018 for systematic reviews and/or meta-analyses of studies that examined the impact of distal technology and reported any clinical or patient-related outcomes among people with type 1 or type 2 diabetes.
RESULTS: The umbrella review identified 95 reviews, including 162 meta-analyses with 46 unique outcomes. Evidence from meta-analyses of randomized controlled studies supports the use of distal technology, especially telehealth and mHealth (healthcare delivered by mobile technology), in people with diabetes for improving HbA1c values by 2-4 mmol/mol (0.2-0.4%). For other health outcomes, such as changes in fasting plasma glucose levels, risk of diabetic ketoacidosis or frequency of severe hypoglycaemia, the evidence was weaker. No evidence was reported for most patient-reported outcomes including quality of life, self-efficacy and medication-taking. The evidence base was poor, with most studies rated as low to very low quality.
CONCLUSION: Distal technologies were associated with a modest improvement in glycaemic control, but it was unclear if they improved major clinical outcomes or were cost-effective in people with diabetes. More robust research to improve wider outcomes in people with diabetes is needed before such technologies can be recommended as part of routine care for any patient group.
OBJECTIVE: We studied the use of mobile phones and the factors related to the acceptability of text messages for parents for the prevention of child drowning in Bangladesh.
METHODS: From a randomized controlled trial involving 800 parents, 10% (80/800) were selected, and socioeconomic status, mobile phone use, and acceptability of SMS text messages for drowning prevention were measured. Participants with at least one child under 5 years of age were selected from rural areas in Rajshahi District in Bangladesh. Mobile phone-based SMS text messages were sent to the participants. Multivariate regression was used to determine the factors related to the acceptability of text messages for the prevention of child drowning in Bangladesh.
RESULTS: The acceptability of SMS text messages for the prevention of child drowning in Bangladesh was significantly lower among women (odds ratio [OR] 0.50, 95% CI 0.12-1.96, P=.02) than among men, lower for parents older than 30 years (OR 0.17, 95% CI 0.14-1.70, P=.01) compared to parents younger than 30 years, higher among parents who had an education (OR 1.63, 95% CI 1.11-5.80, P=.04) than among illiterate parents, and higher among parents with a monthly household income over 7000 Bangladeshi Taka (approximately US $82.54; OR 1.27, 95% CI 1.06-1.96, P=.05) than among parents whose monthly income was less than 7000 Bangladeshi Taka.
CONCLUSIONS: The high percentage of mobile phone use and the acceptability of SMS text messages for parents for the prevention of child drowning are encouraging, in terms of identifying the best strategy for using such technologies, and deserve further evaluation.
OBJECTIVE: The aim of this study was to determine the positioning and roles of ICT in community pharmacies in the state of Selangor, Malaysia.
METHODS: A cross-sectional study was conducted from November 2018 to January 2019 across 9 different subdistricts in the state of Selangor, including Subang Jaya, Cheras, Puchong, Port Klang, Kota Kemuning, Selayang, Chow Kit, Ampang, and Seri Kembangan. A total of 90 community pharmacists were approached from the 9 subdistricts and invited to participate in the study.
RESULTS: Of the 90 community pharmacies approached, 60 agreed to participate in the study, representing a response rate of 67%. The majority (36/60, 60%) of the respondents were women, and more than half (32/60, 53%) of the community pharmacies were run by young adults (ie, 30 years old and younger). More than three-quarters of the community pharmacies (46/60, 77%) used electronic health records. Half of the community pharmacies used online social media platforms for advertising and promoting their pharmacies. The vast majority of the community pharmacies (55/60, 92%) were using modern electronic payment systems, and some were also using other new electronic payment methods. Moreover, most of the community pharmacies (41/60, 68%) were using software and programs for accounting and logistics purposes. In addition, 47/60 (78%) of the community pharmacies used a barcode reading system for medicines/health products, and 16/60 (27%) of the pharmacies had online stores, and consumers could buy medicines and health products from these pharmacies via their online portal. In addition, 20/60 (33%) of the community pharmacies used at least one of the common online business platforms available in Southeast Asia to sell products/medicines. The telephone was the most commonly used means of communication with patients, although some pharmacies also used email, WhatsApp, SMS text messaging, and other communication platforms.
CONCLUSIONS: This study showed that the majority of community pharmacies in Selangor, Malaysia are using ICT for different purposes. However, there is still limited use of mobile apps to provide health services. Overall, community pharmacies have been adopting ICT apps for pharmacy services but the rate of adoption is relatively slower than that in other sectors of Malaysia.
METHOD: A mixed methods approach will be used. Qualitative part: Design: focus group discussions (FGDs) will be conducted.
SETTING: Hospital/NGOs in Terengganu, Malaysia.
PARTICIPANTS: Three FGDs will be conducted with male and female HIV/AIDS patients, and one group of local community leaders. One FGD will be conducted for each group. Three in-depth interviews (IDIs) will be conducted with patients who had HIV/AIDS, of which one will be female. Quantitative part: Design: a cluster randomized clinical trial with 384 HIV/AIDS patients in Terengganu, Malaysia.
INTERVENTION: Mobile SMS counselling intervention for patients concerning the prevention of HIV/AIDS.
RESULTS: The main outcomes of this study will be the differences in knowledge, attitude, and practices of patients concerning the prevention of HIV/AIDS between the baseline and immediate follow-up after the intervention, and after 3 months.
CONCLUSIONS: The mobile based SMS counselling intervention developed will be effective in improving the knowledge, attitude, and practices of patients concerning HIV/AIDS prevention in Terengganu, Malaysia.
TRIAL REGISTRATION: Thai Clinical Trials Registry, TCTR20200212001; 7/02/2020.
Materials and Methods: Family members of 60 patients (one for each patient) who were undergoing major oncological surgery lasting more than 1 h were recruited and randomized into two groups (30 patients each). Group 1 (no SMS group) did not receive any text message while Group 2 (SMS group) received periodic intraoperative text messages. Respondents aged less than 16 years, those with associated psychiatric illnesses, and those who did not consent to the study were excluded. Anxiety among family members was assessed using the Visual Analogue Scale for Anxiety (VAS-A) and Anxiety component of Hospital Anxiety and Depression Scale (HADS-A) at five different periods; (P1) 1 day prior to surgery (P2) at separation from family at the operation theatre (P3) 1 h after commencement of surgery (P4) immediately after completion of surgery, and (P5) 1 day after surgery.
Results: The mean VAS-A and HADS-S scores between both the groups did not show a statistically significant difference for P1, P2 and P5 assessment periods (preoperative period, separation in operation theatre, post-operative period). However, mean VAS-A and HADS-A scores were significantly higher for Group 1 compared to Group 2 during P3 and P4 periods, 1 h after commencement of surgery and completion of surgery, respectively.
Conclusion: Periodic text messages updating the status of ongoing surgery helps to reduce anxiety for family members of patients undergoing oncological surgery during the intraoperative period.
BACKGROUND: Due to the increasing incidence of coronary artery disease in recent years, interventions targeting coronary artery disease risk factors are urgent public priorities. The use of mobile technology in healthcare services and medical education is relatively new with promising future prospects.
DESIGN: This study used a quasiexperimental design that included pre- and posttest for intervention and control groups.
METHODS: The study was conducted from January-April 2017 with both intervention and control groups, in a teaching hospital in Klang Valley. Convenience sampling was used with inclusive criteria in choosing the 94 patients with coronary artery disease (intervention group: 47 patients; control group: 47 patients). The pretest was conducted as a baseline measurement for both groups before they were given standard care from a hospital. However, only the intervention group was given a daily information update via WhatsApp for 1 month. After 1 month, both groups were assessed with a posttest.
RESULTS: The split-plot ANOVA analysis indicates that there is a significant and positive effect of the intervention on coronary artery disease patients' knowledge on coronary artery disease risk factors [F(1, 92) = 168.15, p