Effectiveness of the Internet-Based Versus Face-to-Face Interaction on Reduction of Tobacco Use Among Adults: A Meta-Analysis

Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis

BACKGROUND

Developing adverse lifestyle behaviors increases the risk of a variety of chronic age-related diseases, including cardiovascular disease, obesity, and Alzheimer disease. There is limited evidence regarding the effectiveness of eHealth-based multiple health behavior change (MHBC) interventions to manage lifestyle risk behaviors.

OBJECTIVE

The purpose of this systematic evaluation was to assess the effectiveness of eHealth MHBC interventions in changing ≥2 major lifestyle risk behaviors in people aged ≥50 years.

METHODS

The literature search was conducted in 6 electronic databases-PubMed, Embase, Web of Science, Scopus, Cochrane Library, and SPORTDiscus-from inception to May 1, 2024. Eligible studies were randomized controlled trials of eHealth interventions targeting ≥2 of 6 behaviors of interest: alcohol use, smoking, diet, physical activity (PA), sedentary behavior, and sleep.

RESULTS

A total of 34 articles with 35 studies were included. eHealth-based MHBC interventions significantly increased smoking cessation rates (odds ratio 2.09, 95% CI 1.62-2.70; P<.001), fruit intake (standardized mean difference [SMD] 0.18, 95% CI 0.04-0.32; P=.01), vegetable intake (SMD 0.17, 95% CI 0.05-0.28; P=.003), self-reported total PA (SMD 0.22, 95% CI 0.02-0.43; P=.03), and objectively measured moderate to vigorous PA (SMD 0.25, 95% CI 0.09-0.41; P=.002); in addition, the interventions decreased fat intake (SMD -0.23, 95% CI -0.33 to -0.13; P<.001). No effects were observed for alcohol use, sedentary behavior, or sleep. A sensitivity analysis was conducted to test the robustness of the pooled results. Moreover, the certainty of evidence was evaluated using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework.

CONCLUSIONS

eHealth-based MHBC interventions may be a promising strategy to increase PA, improve diet, and reduce smoking among older adults. However, the effect sizes were small. Further high-quality, older adult-oriented research is needed to develop eHealth interventions that can change multiple behaviors.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42023444418; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023444418.

The effectiveness of digital health technologies for reducing substance use among young people: a systematic review & meta-analysis

BACKGROUND

Substance use amongst young people poses developmental and clinical challenges, necessitating early detection and treatment. Considering the widespread use of technology in young people, delivering interventions digitally may help to reduce and monitor their substance use.

AIMS

We conducted a systematic review and two meta-analyses to assess the effectiveness of digital interventions for reducing substance use (alcohol, smoking, and other substances) among young people aged 10 to 24 years old.

METHOD

Embase, Global Health, Medline, PsychINFO, Web of Science and reference lists of relevant papers were searched in November 2020. Studies were included if they quantitatively evaluated the effectiveness of digital health technologies for treating substance use. A narrative synthesis and meta-analysis were conducted.

RESULTS

Forty-two studies were included in the systematic review and 18 in the meta-analyses. Digital interventions showed small, but statistically significant reductions in weekly alcohol consumption compared to controls (SMD= -0.12, 95% CI= -0.17 to -0.06, I2=0%), but no overall effect was seen on 30-day smoking abstinence (OR = 1.12, 95% CI = 0.70 to 1.80, I2=81%). The effectiveness of digital interventions for reducing substance use is generally weak, however, promising results such as reducing alcohol use were seen. Large-scale studies should investigate the viability of digital interventions, collect user feedback, and determine cost-effectiveness.

PRISMA/PROSPERO

This systematic review was conducted following Cochrane methodology PRISMA guidelines. The review was registered with PROSPERO in November 2020 (CRD42020218442).

Comparative study of virtual and face-to-face training methods on the quality of healthcare services provided by Kermanshah pre-hospital emergency staff (EMS): randomized educational Intervention trial

BACKGROUND

Emergency medical centers are globally one of the most important pillars of pre-hospital care. The most important purpose of this system is to provide satisfactory services in the shortest possible time and in accordance with the modern scientific standards of the world. The present study aimed to compare the effect of virtual and face-to-face training methods on the quality of service provided by Kermanshah pre-hospital emergency personnel, Iran.

METHODS

This was a randomized educational intervention trial performed among the staff of Kermanshah Emergency Medical Center. Individuals were randomly divided into two training groups of virtual and face-to-face. Participants in the face-to-face group received slides, lectures, and practical work with moulage for 6 h a day. Subjects were taught the four skills of intubation, laryngeal mask airway (LMA), cardiopulmonary resuscitation (CPR) and attenuated electrical device (AED). Participants in the virtual group received the same content in the form of a training video on CD with a full explanation of the project's objectives. Pre- and post-test scores of participants were compared within and between the groups by Stata 14.0 software.

RESULTS

Eighty-seven individuals were participated in the study, 43 of whom were assigned to the face-to-face training group and 44 to the virtual training group. There was no significant difference between the two groups in terms of work experience and educational level (P > 0.05). Post-training scores in both groups were significantly higher than pre-training in the four skills (P ≤ 0.005). After adjusting for educational level and work experience, however, the quality of CPR, intubation, and AED was higher in the face-to-face training group than in the virtual group. However, the increase in the mean score of LMA in the virtual training was not significantly different than that of the face-to-face training group.

CONCLUSION

The results of our study showed the same efficacy of both face-to-face and virtual methods in improving the performance of personnel in tracheal intubation, LMA, CPR and AED shock skills. E-learning methods can be used as a complement to face-to-face methods in education.