-
Cureus Dec 2023This study investigates the effectiveness of telemedicine in managing glucose levels in insulin-treated diabetes patients compared to standard care. Adhering to the... (Review)
Review
This study investigates the effectiveness of telemedicine in managing glucose levels in insulin-treated diabetes patients compared to standard care. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) criteria and Cochrane's risk of bias tool, an analysis of five selected studies reveals telemedicine as a potent tool in diabetes management. Fasting blood sugar (FBS) test results from two studies involving an eight-hour fast with 109 participants demonstrate a significant superiority of telemedicine over usual care (Tau2 = 1.63; Chi2 = 1.01, df = 1, P = 0.32; Z = 2.43, P = 0.02), highlighting its potential in short-term blood sugar stabilization. Postprandial plasma glucose (PPBG) test outcomes suggest comparable efficacy in managing post-meal blood glucose levels with telemedicine. Additionally, analysis of glycated hemoglobin (HbA1c) levels across all five studies indicates telemedicine's equivalence to traditional care in maintaining HbA1c levels among insulin-treated patients, affirming its efficacy in primary care. While emphasizing telemedicine's effectiveness in managing FBS levels, a critical aspect of diabetes control, among patients utilizing insulin therapy in primary care, the study underscores the need for more extensive, large-scale research to fully comprehend its impact on diabetes management.
PubMed: 38077677
DOI: 10.7759/cureus.50045 -
BMC Women's Health Dec 2023Maternal and neonatal mortality are important indicators of the development of a nation and pose a severe health concern, especially in developing and Low and...
BACKGROUND
Maternal and neonatal mortality are important indicators of the development of a nation and pose a severe health concern, especially in developing and Low and Middle-Income Countries (LMICs). Healthcare providers use various mobile technologies as tools to provide antenatal, delivery, and postnatal care and thereby promote maternal and child health. We conducted a systematic review to critically assess the existing literature on the effectiveness of mobile phone technology in maternal and neonatal healthcare (MNH) utilization, especially in LMICs in Asia and Africa.
METHODS
A systematic search strategy was developed, and Boolean combinations of relevant keywords were utilized to search relevant literature on three electronic databases (PubMed/Medline, Scopus, and Google Scholar) from 2012 to 2022. After assessing the inclusion and exclusion criteria, 25 articles were selected for systematic review. A narrative synthesis strategy was applied to summarise the information from the included literature.
RESULTS
This review reveals that research and evaluation studies on mobile phone or Mobile Health (mHealth) and MNH service utilization substantially varied by research designs and methodology. Most studies found that mobile phone technology is highly appreciable in improving several MNH indicators, especially in LMICs. Despite the identified benefits of mobile technology in MNH utilization, some studies also mentioned challenges related to technology use and misuse, rich-poor discrimination, and disparity in phone ownership need to be addressed.
CONCLUSION
There is constantly increasing evidence of mobile counseling and the use of digital technology in the MNH care system. Public health practitioners and policymakers need to make efforts to smooth the functioning of technology-based healthcare services, considering all the issues related to the confidentiality and safety of health-related data on the Internet.
Topics: Infant, Newborn; Child; Pregnancy; Humans; Female; Developing Countries; Delivery of Health Care; Maternal Health Services; Telemedicine; Technology
PubMed: 38082424
DOI: 10.1186/s12905-023-02825-y -
International Journal of Medical... Apr 2024Cardiac telerehabilitation has demonstrated effectiveness for patient health outcomes, but uptake and implementation into practice have been limited and variable. While...
BACKGROUND
Cardiac telerehabilitation has demonstrated effectiveness for patient health outcomes, but uptake and implementation into practice have been limited and variable. While patient-level influences on uptake have been identified, little is known about provider- and system-level factors.
AIMS
To identify provider and system barriers and enablers to uptake and implementation of cardiac telerehabilitation.
METHODS
A systematic review was conducted, including a search of six databases (MEDLINE, Embase, CINAHL, Scopus, Web of Science, and PsycINFO) from 2000 to March 2023. Two reviewers independently screened eligible articles. Study quality was evaluated according to study design by the Critical Appraisal Skills Programme (CASP) checklist for qualitative data, the Appraisal Tool for Cross-sectional Studies (AXIS), and the Mixed Methods Appraisal Tool (MMAT) for mixed methods. Data were analysed using narrative synthesis.
RESULTS
Twenty eligible studies (total 1674 participants) were included. Perceived provider-level barriers included that cardiac telerehabilitation is resource intensive, inferior to centre-based delivery, and lack of staff preparation. Whereas provider-level enablers were having access to resources, adequate staff preparation, positive staff beliefs regarding cardiac telerehabilitation and positive team dynamics. System-level barriers related to unaligned policy, healthcare system and insurance structures, technology issues, lack of plans for implementation, and inadequate resources. System-level enablers included cost-effectiveness, technology availability, reliability, and adaptability, and adequate program development, implementation planning and leadership support.
CONCLUSIONS
Barriers and enablers at both provider and system levels must be recognised and addressed at the local context to ensure better uptake of cardiac telerehabilitation programs.
Topics: Humans; Cross-Sectional Studies; Delivery of Health Care; Reproducibility of Results; Telerehabilitation; Cardiac Rehabilitation
PubMed: 38281451
DOI: 10.1016/j.ijmedinf.2024.105346 -
Journal of Personalized Medicine Mar 2024Healthcare visits were reduced during the COVID-19 pandemic, causing disturbances in sustainable MAFLD monitoring. Telemedicine acts to maintain connectivity between... (Review)
Review
Telemedicine as an Option for Monitoring Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD) Patients Facing the COVID-19 Pandemic: A Systematic Review and Meta-Analysis.
Healthcare visits were reduced during the COVID-19 pandemic, causing disturbances in sustainable MAFLD monitoring. Telemedicine acts to maintain connectivity between patients and healthcare professionals. This review aimed to assess the role of telemedicine in monitoring MAFLD during the pandemic. Databases searched included PubMed Central and ScienceDirect from 2020 to 2023. Assessment with The Cochrane Risk of Bias for randomized controlled trials (RCTs) and the Newcastle-Ottawa scale for non-RCTs systematic reviews. Meta-analyses employing a random-effect model were performed to determine the pooled mean difference (MD) and -value. The results showed three RCT and two non-RCT ( = 239) with 56.9% males and a mean age of 51.3 years. The median intervention duration was 5.5 months. The parameters assessed included body weight (BW), body mass index (BMI), waist circumference, liver function (AST/ALT), lipid profile, HbA1c, and others. Meta-analysis revealed that telemedicine had a significant effect on improving outcomes for BW (MD -2.81: 95% CI, -4.11, -1.51, < 0.0001) and BMI (MD -1.01: 95% CI, -1.47, -0.55, < 0.0001) compared to standard care, while the AST/ALT levels were not significantly reduced. Some biochemical markers decreased based on the systematic reviews. In conclusion, telemedicine using mobile-based applications could be an option for monitoring lifestyle modification in MAFLD patients facing the COVID-19 pandemic.
PubMed: 38541023
DOI: 10.3390/jpm14030281 -
JMIR MHealth and UHealth Jan 2024Among the millions of mobile apps in existence, thousands fall under the category of mobile health (mHealth). Although the utility of mHealth apps has been demonstrated...
BACKGROUND
Among the millions of mobile apps in existence, thousands fall under the category of mobile health (mHealth). Although the utility of mHealth apps has been demonstrated for disease diagnosis, treatment data management, and health promotion strategies, to be effective they must reach and be used by their target audience. An appropriate marketing strategy can ensure that apps reach potential users and potentially convert them to actual users. Such a strategy requires definitions of target end users, communication channels, and advertising content, as well as a timeline for effectively reaching and motivating end users to adopt and maintain engagement with the mHealth app.
OBJECTIVE
The aim of this study was to identify strategies and elements that ensure that end users adopt and remain engaged with mHealth apps.
METHODS
A systematic search of the PubMed, PsycINFO, Scopus, and CINAHL databases was conducted for suitable studies published between January 1, 2018, and September 30, 2022. Two researchers independently screened studies for inclusion, extracted data, and assessed the risk of bias. The main outcome was dissemination strategies for mHealth apps.
RESULTS
Of the 648 papers retrieved from the selected databases, only 10 (1.5%) met the inclusion criteria. The marketing strategies used in these studies to inform potential users of the existence of mHealth apps and motivate download included both paid and unpaid strategies and used various channels, including social media, emails, printed posters, and face-to-face communication. Most of the studies reported a combination of marketing concepts used to advertise their mHealth apps. Advertising messages included instructions on where and how to download and install the apps. In most of the studies (6/10, 60%), instructions were oriented toward how to use the apps and maintain engagement with a health intervention. The most frequently used paid marketing platform was Facebook Ads Manager (2/10, 20%). Advertising performance was influenced by many factors, including but not limited to advertising content. In 1 (10%) of the 10 studies, animated graphics generated the greatest number of clicks compared with other image types. The metrics used to assess marketing strategy effectiveness were number of downloads; nonuse rate; dropout rate; adherence rate; duration of app use; and app usability over days, weeks, or months. Additional indicators such as cost per click, cost per install, and clickthrough rate were mainly used to assess the cost-effectiveness of paid marketing campaigns.
CONCLUSIONS
mHealth apps can be disseminated via paid and unpaid marketing strategies using various communication channels. The effects of these strategies are reflected in download numbers and user engagement with mHealth apps. Further research could provide guidance on a framework for disseminating mHealth apps and encouraging their routine use.
Topics: Humans; Advertising; Benchmarking; Communication; Databases, Factual; Mobile Applications; Telemedicine
PubMed: 38180796
DOI: 10.2196/50293 -
JMIR MHealth and UHealth Jul 2023Cardiac telerehabilitation offers a flexible and accessible model for patients with coronary artery disease (CAD), effectively transforming the traditional cardiac... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Cardiac telerehabilitation offers a flexible and accessible model for patients with coronary artery disease (CAD), effectively transforming the traditional cardiac rehabilitation (CR) approach.
OBJECTIVE
This systematic review and meta-analysis aimed to evaluate the long-term effectiveness of cardiac telerehabilitation.
METHODS
We searched randomized controlled trials (RCTs) in 7 electronic databases: PubMed, Web of Science, EMBASE, the Cochrane Central Register of Controlled Trials, ClinicalTrials.gov, the China National Knowledge Infrastructure, and WANFANG. The primary outcome focused on cardiopulmonary fitness. For secondary outcomes, we examined cardiovascular risk factors (blood pressure, BMI, and serum lipids), psychological scales of depression and anxiety, quality of life (QoL), cardiac telerehabilitation adherence, and adverse events.
RESULTS
In total, 10 RCTs fulfilled the predefined criteria, which were reviewed in our meta-analysis. The results showed that after cardiac telerehabilitation, there was a significant difference in the improvement in long-term peak oxygen uptake compared to center-based CR (mean difference [MD] 1.61, 95% CI 0.38-2.85, P=.01), particularly after 6-month rehabilitation training (MD 1.87, 95% CI 0.34-3.39, P=.02). The pooled effect size of the meta-analysis indicated that there were no significant differences in the reduction in cardiovascular risk factor control. There was also no practical demonstration of anxiety scores or depression scores. However, cardiac telerehabilitation demonstrated an improvement in the long-term QoL of patients (MD 0.92, 95% CI 0.06-1.78, P=.04). In addition, the study reported a high completion rate (80%) for cardiac telerehabilitation interventions. The incidence of adverse events was also low during long-term follow-up.
CONCLUSIONS
Cardiac telerehabilitation proves to be more effective in improving cardiopulmonary fitness and QoL during the long-term follow-up for patients with CAD. Our study highlights monitoring-enabled and patient-centered telerehabilitation programs, which play a vital role in the recovery and development of CAD and in the long-term prognosis of patients.
Topics: Humans; Coronary Artery Disease; Telerehabilitation; Exercise; Quality of Life; Anxiety
PubMed: 37505803
DOI: 10.2196/46359 -
JMIR MHealth and UHealth Jan 2024The increasing incidence of gestational diabetes mellitus (GDM) is a global health problem that is more likely to occur in pregnant women with overweight or obesity.... (Meta-Analysis)
Meta-Analysis
BACKGROUND
The increasing incidence of gestational diabetes mellitus (GDM) is a global health problem that is more likely to occur in pregnant women with overweight or obesity. Adhering to a healthy lifestyle is associated with a reduced risk of GDM. With the development of IT, mobile health (mHealth) interventions have become widely available in health care. However, there are no definitive conclusions on the effectiveness of mHealth-based lifestyle interventions in preventing GDM.
OBJECTIVE
This study aims to evaluate the impact of mHealth-based lifestyle interventions on GDM and other pregnancy outcomes in pregnant women with overweight or obesity.
METHODS
A systematic literature search was conducted in 5 English databases (MEDLINE, Embase, Web of Science, CENTRAL, and CINAHL) and 4 Chinese databases (CBM, CNKI, Vip, and Wanfang) to identify randomized controlled trials (RCTs) on the effectiveness of mHealth-based interventions for GDM from inception to January 10, 2023. In total, 2 authors independently screened the studies and extracted the data. The quality of the included studies was examined using the Cochrane risk-of-bias tool. Data synthesis was conducted using Review Manager (version 5.4; The Cochrane Collaboration).
RESULTS
A total of 16 RCTs with 7351 participants were included in this study. The included studies were published between 2014 and 2021 and were conducted in China, the United States, Australia, New Zealand, the United Kingdom, Ireland, and Norway. The sample sizes of the studies ranged from 75 to 2202, and the duration of the mHealth-based lifestyle interventions ranged from 4 to 28 weeks. Compared with usual care, mHealth-based lifestyle interventions significantly reduced the incidence of GDM (odds ratio [OR] 0.74, 95% CI 0.56-0.96; P=.03; I=65%), preterm birth (OR 0.65, 95% CI 0.48-0.87; P=.004; I=25%), macrosomia (OR 0.59, 95% CI 0.40-0.87; P=.008; I=59%), and gestational weight gain (mean difference=-1.12 kg, 95% CI -1.44 to -0.80; P<.001; I=43%). The subgroup analysis showed that interventions delivered via apps (OR 0.55, 95% CI 0.37-0.83; P=.004; I=44%), provided by obstetricians (OR 0.69, 95% CI 0.51-0.93; P=.02; I=60%), and targeted at Asian populations (OR 0.44, 95% CI 0.34-0.58; P<.001; I=0%) and that used the International Association of Diabetes and Pregnancy Study Groups diagnostic criteria (OR 0.58, 95% CI 0.39-0.86; P=.007; I=69%) showed a statistically significant reduction in the risk of GDM.
CONCLUSIONS
mHealth-based lifestyle interventions had a favorable impact on the prevention of GDM in pregnant women with overweight and obesity. Future studies need to further explore the potential of mHealth-based interventions for GDM through better design and more rigorous large-scale RCTs.
TRIAL REGISTRATION
PROSPERO International Prospective Register of Systematic Reviews CRD42021286995; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=286995.
Topics: Female; Humans; Pregnancy; Diabetes, Gestational; Life Style; Obesity; Overweight; Pregnant Women; Telemedicine
PubMed: 38231555
DOI: 10.2196/49373 -
JMIR MHealth and UHealth Apr 2024The COVID-19 pandemic has significantly reduced physical activity (PA) levels and increased sedentary behavior (SB), which can lead to worsening physical fitness (PF).... (Meta-Analysis)
Meta-Analysis Review
Effectiveness of mHealth App-Based Interventions for Increasing Physical Activity and Improving Physical Fitness in Children and Adolescents: Systematic Review and Meta-Analysis.
BACKGROUND
The COVID-19 pandemic has significantly reduced physical activity (PA) levels and increased sedentary behavior (SB), which can lead to worsening physical fitness (PF). Children and adolescents may benefit from mobile health (mHealth) apps to increase PA and improve PF. However, the effectiveness of mHealth app-based interventions and potential moderators in this population are not yet fully understood.
OBJECTIVE
This study aims to review and analyze the effectiveness of mHealth app-based interventions in promoting PA and improving PF and identify potential moderators of the efficacy of mHealth app-based interventions in children and adolescents.
METHODS
We searched for randomized controlled trials (RCTs) published in the PubMed, Web of Science, EBSCO, and Cochrane Library databases until December 25, 2023, to conduct this meta-analysis. We included articles with intervention groups that investigated the effects of mHealth-based apps on PA and PF among children and adolescents. Due to high heterogeneity, a meta-analysis was conducted using a random effects model. The Cochrane Risk of Bias Assessment Tool was used to evaluate the risk of bias. Subgroup analysis and meta-regression analyses were performed to identify potential influences impacting effect sizes.
RESULTS
We included 28 RCTs with a total of 5643 participants. In general, the risk of bias of included studies was low. Our findings showed that mHealth app-based interventions significantly increased total PA (TPA; standardized mean difference [SMD] 0.29, 95% CI 0.13-0.45; P<.001), reduced SB (SMD -0.97, 95% CI -1.67 to -0.28; P=.006) and BMI (weighted mean difference -0.31 kg/m, 95% CI -0.60 to -0.01 kg/m; P=.12), and improved muscle strength (SMD 1.97, 95% CI 0.09-3.86; P=.04) and agility (SMD -0.35, 95% CI -0.61 to -0.10; P=.006). However, mHealth app-based interventions insignificantly affected moderate to vigorous PA (MVPA; SMD 0.11, 95% CI -0.04 to 0.25; P<.001), waist circumference (weighted mean difference 0.38 cm, 95% CI -1.28 to 2.04 cm; P=.65), muscular power (SMD 0.01, 95% CI -0.08 to 0.10; P=.81), cardiorespiratory fitness (SMD -0.20, 95% CI -0.45 to 0.05; P=.11), muscular endurance (SMD 0.47, 95% CI -0.08 to 1.02; P=.10), and flexibility (SMD 0.09, 95% CI -0.23 to 0.41; P=.58). Subgroup analyses and meta-regression showed that intervention duration was associated with TPA and MVPA, and age and types of intervention was associated with BMI.
CONCLUSIONS
Our meta-analysis suggests that mHealth app-based interventions may yield small-to-large beneficial effects on TPA, SB, BMI, agility, and muscle strength in children and adolescents. Furthermore, age and intervention duration may correlate with the higher effectiveness of mHealth app-based interventions. However, due to the limited number and quality of included studies, the aforementioned conclusions require validation through additional high-quality research.
TRIAL REGISTRATION
PROSPERO CRD42023426532; https://tinyurl.com/25jm4kmf.
Topics: Adolescent; Child; Humans; COVID-19; Exercise; Health Promotion; Mobile Applications; Pandemics; Physical Fitness; Randomized Controlled Trials as Topic; Telemedicine; Infection Control
PubMed: 38687568
DOI: 10.2196/51478 -
Journal of Medical Internet Research Feb 2024The increasing prevalence of DH applications has outpaced research and practice in digital health (DH) evaluations. Patient experience (PEx) was reported as one of the... (Review)
Review
BACKGROUND
The increasing prevalence of DH applications has outpaced research and practice in digital health (DH) evaluations. Patient experience (PEx) was reported as one of the challenges facing the health system by the World Health Organization. To generate evidence on DH and promote the appropriate integration and use of technologies, a standard evaluation of PEx in DH is required.
OBJECTIVE
This study aims to systematically identify evaluation timing considerations (ie, when to measure), evaluation indicators (ie, what to measure), and evaluation approaches (ie, how to measure) with regard to digital PEx. The overall aim of this study is to generate an evaluation guide for further improving digital PEx evaluation.
METHODS
This is a 2-phase study parallel to our previous study. In phase 1, literature reviews related to PEx in DH were systematically searched from Scopus, PubMed, and Web of Science databases. Two independent raters conducted 2 rounds of paper screening, including title and abstract screening and full-text screening, and assessed the interrater reliability for 20% (round 1: 23/115 and round 2: 12/58) random samples using the Fleiss-Cohen coefficient (round 1: k1=0.88 and round 2: k2=0.80). When reaching interrater reliability (k>0.60), TW conducted the rest of the screening process, leaving any uncertainties for group discussions. Overall, 38% (45/119) of the articles were considered eligible for further thematic analysis. In phase 2, to check if there were any meaningful novel insights that would change our conclusions, we performed an updated literature search in which we collected 294 newly published reviews, of which 102 (34.7%) were identified as eligible articles. We considered them to have no important changes to our original results on the research objectives. Therefore, they were not integrated into the synthesis of this review and were used as supplementary materials.
RESULTS
Our review highlights 5 typical evaluation objectives that serve 5 stakeholder groups separately. We identified a set of key evaluation timing considerations and classified them into 3 categories: intervention maturity stages, timing of the evaluation, and timing of data collection. Information on evaluation indicators of digital PEx was identified and summarized into 3 categories (intervention outputs, patient outcomes, and health care system impact), 9 themes, and 22 subthemes. A set of evaluation theories, common study designs, data collection methods and instruments, and data analysis approaches was captured, which can be used or adapted to evaluate digital PEx.
CONCLUSIONS
Our findings enabled us to generate an evaluation guide to help DH intervention researchers, designers, developers, and program evaluators evaluate digital PEx. Finally, we propose 6 directions for encouraging further digital PEx evaluation research and practice to address the challenge of poor PEx.
Topics: Humans; Reproducibility of Results; Delivery of Health Care; Text Messaging; Digital Health; Patient Outcome Assessment; Telemedicine
PubMed: 38315545
DOI: 10.2196/46308 -
Drug and Alcohol Dependence Sep 2023Novel strategies are required to address rising overdose deaths across the globe. We sought to identify the breadth and depth of the existing evidence around electronic... (Review)
Review
BACKGROUND
Novel strategies are required to address rising overdose deaths across the globe. We sought to identify the breadth and depth of the existing evidence around electronic harm reduction (e-harm reduction) interventions that aimed to reduce the harms associated with substance use.
METHODS
We conducted a scoping review according to the PRISMA-ScR and PRISMA for Searching guidelines. A health sciences librarian systematically searched seven health databases from inception until January 20, 2023. Citation chaining and reference lists of included studies were searched to identify additional articles. Two reviewers independently screened, extracted and charted the data. Additionally, we conducted a gray literature search and environmental scan to supplement the findings.
RESULTS
A total of 51 studies met the criteria for inclusion (30 peer-reviewed articles and 21 non-peer reviewed). Most peer-reviewed studies were conducted in Western countries (USA = 23, Canada = 3, Europe = 3, China = 1) and among adult samples (adult = 27, youth/adults =1, unspecified = 2). Study designs were predominantly quantitative (n = 24), with a minority using qualitative (n = 4) or mixed methods (n = 2). Most e-harm reduction interventions were harm reduction (n = 15), followed by education (n = 6), treatment (n = 2), and combined/other approaches (n = 7). Interventions utilized web-based/mobile applications (n = 15), telephone/telehealth (n = 10), and other technology (n = 5).
CONCLUSIONS
While e-harm reduction technology is promising, further research is required to establish the efficacy and effectiveness of these novel interventions.
Topics: Adult; Adolescent; Humans; Harm Reduction; Drug Overdose; Substance-Related Disorders; Europe; Telemedicine
PubMed: 37441959
DOI: 10.1016/j.drugalcdep.2023.110878