-
Frontiers in Public Health 2024To conduct a systematic literature review of education and training (E&T) programs for telemental health (TMH) providers in the past 10 years to qualitatively clarify...
OBJECTIVE
To conduct a systematic literature review of education and training (E&T) programs for telemental health (TMH) providers in the past 10 years to qualitatively clarify field offerings and methodologies, as well as identify areas for future growth.
METHODS
We searched five major electronic databases: PubMed, PsycINFO, Scopus, CINAHL, and Web of Science for original publications on TMH E&T from January 2013 to May 2023. We extracted information from each publication and summarized key features of training programs including setting, target group, study aims, training modality, methods of assessing quality, and outcomes.
RESULTS
A total of 20 articles were selected for the final review. Articles meeting inclusionary criteria were predominantly comprised of case studies and commentaries, focused on a TMH service/practice for a specific region/population, and were performed after 2020. All of the selected studies demonstrated a significant increase in the measured knowledge, skills, and abilities of the participants after TMH training. Nevertheless, there remains a lack of standardization of training methodologies, limited sample sizes and demographics, variability in study methodologies, and inconsistency of competency targets across studies.
CONCLUSION
This systematic review highlighted the diversity of methods for TMH E&T. Future research on this topic could include more varied and larger-scale studies to further validate and extend current findings, as well as explore potential long-term effects of TMH training programs on both provider attitudes and patient outcomes.
Topics: Humans; Telemedicine; Health Personnel; Mental Health Teletherapy
PubMed: 38841687
DOI: 10.3389/fpubh.2024.1385532 -
Journal of Telemedicine and Telecare Jun 2024We compared the impact of accessing healthcare (1) by telehealth (via telephone or video) vs face-to-face; and (2) by telephone vs video telehealth care, on escalation...
OBJECTIVE
We compared the impact of accessing healthcare (1) by telehealth (via telephone or video) vs face-to-face; and (2) by telephone vs video telehealth care, on escalation to emergency care.
METHODS
We searched Medline, Embase and Cochrane CENTRAL to 24 July 2023; and conducted a citation analysis on 19 September 2023. We included randomised controlled trials. Risk of bias was assessed using Cochrane Tool 2. We calculated risk ratios for dichotomous outcomes and standardised mean difference for continuous outcomes.
RESULTS
Ten trials compared telehealth (five telephone, four video, one both) to face-to-face care. Six were overall low, three some concerns and one high risk of bias. There were no differences between telehealth and face-to-face for visits to the emergency department (RR 1.07, 95% CI 0.89 to 1.29), hospitalisations up to 12 months (RR 0.89, 95% CI 0.56 to 1.41), deaths or other adverse events. Costs of care were similar, as were patient satisfaction scores.Six trials compared telephone to video telehealth: three were overall low, two some concerns, and one high risk of bias. There were no differences between telephone and video for visits to the emergency department (RR 0.67, 95% CI 0.41 to 1.12), hospitalisations (RR 1.04, 95% CI 0.73 to 1.48), deaths, other adverse events, costs, or patient satisfaction. Healthcare provider satisfaction was high.
CONCLUSIONS
Telehealth care - delivered by telephone or by video - may be an appropriate alternative to face-to-face provision of care, as it does not increase the likelihood of escalation of care to the emergency department for patients in primary care, hospital outpatients, post-discharge patients or residents in aged care.
PubMed: 38839244
DOI: 10.1177/1357633X241259525 -
Frontiers in Public Health 2024We aimed to report the latest and largest pooled analyses and evidence updates to assess the effectiveness of telemedicine interventions for self-management (DSM) in... (Meta-Analysis)
Meta-Analysis
PURPOSE
We aimed to report the latest and largest pooled analyses and evidence updates to assess the effectiveness of telemedicine interventions for self-management (DSM) in patients with type 2 diabetes mellitus (T2DM).
METHODS
A systematic literature search was conducted using PubMed, Cochrane, Embase, and Web of Science in December 2023. We included randomized controlled trials (RCTs) of adults (≥18 years of age) diagnosed with T2DM where the intervention was the application of telemedicine. The Cochrane Risk of Bias Assessment was used to evaluate quality. The study's main outcome indicators were glycosylated hemoglobin (HbA1c) and diabetes self-management (DSM) capacity.
RESULTS
A total of 17 eligible articles, comprising 20 studies and 1,456 patients (734 in the intervention group and 722 in the control group), were included in the evidence synthesis. The baseline characteristics of both groups were similar in all outcomes. Comprehensive analyses showed post-intervention decreases in HbA1c, 2-h postprandial glucose, systolic and diastolic blood pressure, increases in Diabetes Self- Care activities, DSM competencies based on dietary and medication adherence, and improvements in overall DSM scores, all of which were statistically significant. While no statistically significant differences were observed in body mass index, lipids, and other DSM dimensions. Based on subgroup analyses, app-based experimental interventions targeting under 60 years old populations in Asia and North America were found to be more effective and less heterogeneity in the short term (<6 months of intervention).
CONCLUSION
Telemedicine interventions may assist patients with T2DM in enhancing their DSM and improving their HbA1c levels. Clinician can use various telemedicine interventions to enhance DSM in T2DM patients, considering local circumstances.
SYSTEMATIC REVIEW REGISTRATION
https://www.crd.york.ac.uk/PROSPERO/, CRD42024508522.
Topics: Humans; Middle Aged; Diabetes Mellitus, Type 2; Glycated Hemoglobin; Randomized Controlled Trials as Topic; Self-Management; Telemedicine
PubMed: 38835608
DOI: 10.3389/fpubh.2024.1405770 -
Palliative Medicine Jun 2024Coordination and communication challenges in home-based palliative care complicate transitions from hospital care. Electronic symptom monitoring enables real-time data...
BACKGROUND
Coordination and communication challenges in home-based palliative care complicate transitions from hospital care. Electronic symptom monitoring enables real-time data collection, enhancing patient-provider communication. However, a systematic evaluation of its effectiveness in home-based palliative care is lacking.
AIM
To analyze the feasibility, effectiveness, and limitations of electronic symptom monitoring in home-based palliative care, assess the evidence quality, identify the evidence gap, and suggest implications for future research and practice.
DESIGN
This study uses systematic review, meta-analysis, and narrative synthesis (CRD42023457977) to analyze relevant studies until September 2023.
DATA SOURCES
Electronic searches in MEDLINE, CENTRAL, and Embase until September 2023, complemented by hand-searching of references and citations.
RESULTS
This study included twenty studies. The majority of patients positively engage in electronic symptom monitoring, which could improve their quality of life, physical and emotional well-being, and symptom scores without a significant increase in costs. However, firm conclusions about the effects of electronic symptom monitoring on outcomes like survival, hospital admissions, length of stay, emergency visits, and adverse events were limited due to significant variability in the reported data or inadequate statistical power.
CONCLUSION
Introducing electronic symptom monitoring in home-based palliative care holds potential for enhancing patient-reported outcomes, potentially decreasing hospital visits and costs. However, inconsistency in current studies arising from diverse monitoring systems obstructs comparability. To advance, future high-quality research should employ standardized follow-up periods and established scales to better grasp the benefits of electronic symptom monitoring in home-based palliative care.
PubMed: 38835179
DOI: 10.1177/02692163241257578 -
Health Informatics Journal 2024: This systematic review and meta-analysis aimed to investigate the effect of fall prevention interventions using information and communication technology (ICT). : A... (Meta-Analysis)
Meta-Analysis
: This systematic review and meta-analysis aimed to investigate the effect of fall prevention interventions using information and communication technology (ICT). : A comprehensive search across four databases was performed. The inclusion criteria were fall prevention interventions including telehealth, computerized balance training, exergaming, mobile application education, virtual reality exercise, and cognitive-behavioral training for community-dwelling adults aged ≥60 years. : Thirty-four studies were selected. Telehealth, smart home systems, and exergames reduced the risk of falls (RR = 0.63, 95% CI [0.54, 0.75]). Telehealth and exergame improved balance (MD = 3.30, 95% CI [1.91, 4.68]; MD = 4.40, 95% CI [3.09, 5.71]). Telehealth improved physical function (SMD = 0.69, 95% CI [0.23, 1.16]). Overall, ICT fall interventions improved fall efficacy but not cognitive function. For quality of life (QOL), mixed results were found depending on the assessment tools. : Future investigations on telehealth, smart home systems, or exergames are needed to motivate older adults to exercise and prevent falls.
Topics: Humans; Accidental Falls; Aged; Telemedicine; Independent Living; Quality of Life; Information Technology
PubMed: 38825745
DOI: 10.1177/14604582241259324 -
European Journal of Hospital Pharmacy :... May 2024This study investigates the clinical impact of electronic patient-reported outcome (ePRO) monitoring apps/web interfaces, aimed at symptom-management, in cancer patients...
PURPOSE
This study investigates the clinical impact of electronic patient-reported outcome (ePRO) monitoring apps/web interfaces, aimed at symptom-management, in cancer patients undergoing outpatient systemic antineoplastic treatment. Additionally, it explores the advantages offered by these applications, including their functionalities and healthcare team-initiated follow-up programmes.
METHODS
A systematic literature review was conducted using a predefined search strategy in MEDLINE. Inclusion criteria encompassed primary studies assessing symptom burden through at-home ePRO surveys in adult cancer patients receiving outpatient systemic antineoplastic treatment, whenever health outcomes were evaluated. Exclusion criteria excluded telemedicine-based interventions other than ePRO questionnaires and non-primary articles or study protocols. To evaluate the potential bias in the included studies, an exhaustive quality assessment was conducted, as an additional inclusion filter.
RESULTS
Among 246 identified articles, 227 were excluded for non-compliance with inclusion/exclusion criteria. Of the remaining 19 articles, only eight met the rigorous validity assessment and were included for detailed examination and data extraction, presented in attached tables.
CONCLUSION
This review provides compelling evidence of ePRO monitoring's positive clinical impact across diverse cancer settings, encompassing various cancer types, including early and metastatic stages. These systems are crucial in enabling timely interventions and reducing communication barriers, among other functionalities. While areas for future ePRO innovation are identified, the primary limitation lies in comparing clinical outcomes of reviewed articles, due to scale variability and study population heterogeneity. To conclude, our results reaffirm the transformative potential of ePRO apps in oncology and their pivotal role in shaping the future of cancer care.
PubMed: 38821720
DOI: 10.1136/ejhpharm-2023-004072 -
Addictive Behaviors Sep 2024The present systematic review aims to identify electronic interventions for addressing substance use and understand their effectiveness in primary care settings. A... (Review)
Review
The present systematic review aims to identify electronic interventions for addressing substance use and understand their effectiveness in primary care settings. A systematic search was carried out in the Web of Science, PubMed/MEDLINE, Scopus, and Cochrane Library. The search included the keywords "electronic intervention", "substance use", "primary care" and synonyms. To determine the quality and recommendation of the analyzed interventions, the efficacy results reported by the studies were considered, as well as the Mixed Methods Appraisal Tool (MMAT) assessment and the GRADE Evidence Assessment. Twenty-one electronic interventions in Primary Care were identified: internet, mobile or tablet applications, text messages, emails, automated telephone calls, or electronic self-reports. These interventions had diverse components, incorporating theories that have proven effective in face-to-face interventions as their theoretical frameworks. Some of them were complementary to in-person treatment, while others replaced it. Six interventions (28.5 %) displayed high quality: HealthCall, AB-CASI, Quit Genius, eCHECKUP-TOGO, CBI, and TES. Another nine interventions (42.8 %) were found to have moderate-high quality: Alcohol y Salud, IVR-BI, Program of Wallace et al., Let's Talk About Smoking, SMSalud, ESCAPE, AAC-ASPIRE, iQuit, and Programa VIH. One intervention (4.7 %) had moderate-low quality: Vive sin tabaco ¡Decídete! The remaining five interventions (23.8 %) were found to have very low quality: Connection to health, cSBI, Teen Well Check, the program of Helzer et al. (2008), and Down your drink. The programs with the highest recommendation for addressing alcohol-related issues are HealthCall and AB-CASI; for tobacco use, it is Quit Genius; for cannabis use, it is eCHECKUP-TOGO; for addressing both legal and illegal substances, it is CBI and TES. Finally, for specific illicit drug use, the only recommended program is CBI. This last intervention, CBI, is of the highest quality and, therefore, can be considered a model intervention for dissemination in the primary care setting.
Topics: Humans; Primary Health Care; Substance-Related Disorders; Text Messaging; Telemedicine; Internet; Mobile Applications; Electronic Mail
PubMed: 38821009
DOI: 10.1016/j.addbeh.2024.108073 -
Journal of Medical Internet Research May 2024Mobile health (mHealth) uses mobile technologies to promote wellness and help disease management. Although mHealth solutions used in the clinical setting have typically... (Review)
Review
BACKGROUND
Mobile health (mHealth) uses mobile technologies to promote wellness and help disease management. Although mHealth solutions used in the clinical setting have typically been medical-grade devices, passive and active sensing capabilities of consumer-grade devices like smartphones and activity trackers have the potential to bridge information gaps regarding patients' behaviors, environment, lifestyle, and other ubiquitous data. Individuals are increasingly adopting mHealth solutions, which facilitate the collection of patient-generated health data (PGHD). Health care professionals (HCPs) could potentially use these data to support care of chronic conditions. However, there is limited research on real-life experiences of HPCs using PGHD from consumer-grade mHealth solutions in the clinical context.
OBJECTIVE
This systematic review aims to analyze existing literature to identify how HCPs have used PGHD from consumer-grade mobile devices in the clinical setting. The objectives are to determine the types of PGHD used by HCPs, in which health conditions they use them, and to understand the motivations behind their willingness to use them.
METHODS
A systematic literature review was the main research method to synthesize prior research. Eligible studies were identified through comprehensive searches in health, biomedicine, and computer science databases, and a complementary hand search was performed. The search strategy was constructed iteratively based on key topics related to PGHD, HCPs, and mobile technologies. The screening process involved 2 stages. Data extraction was performed using a predefined form. The extracted data were summarized using a combination of descriptive and narrative syntheses.
RESULTS
The review included 16 studies. The studies spanned from 2015 to 2021, with a majority published in 2019 or later. Studies showed that HCPs have been reviewing PGHD through various channels, including solutions portals and patients' devices. PGHD about patients' behavior seem particularly useful for HCPs. Our findings suggest that PGHD are more commonly used by HCPs to treat conditions related to lifestyle, such as diabetes and obesity. Physicians were the most frequently reported users of PGHD, participating in more than 80% of the studies.
CONCLUSIONS
PGHD collection through mHealth solutions has proven beneficial for patients and can also support HCPs. PGHD have been particularly useful to treat conditions related to lifestyle, such as diabetes, cardiovascular diseases, and obesity, or in domains with high levels of uncertainty, such as infertility. Integrating PGHD into clinical care poses challenges related to privacy and accessibility. Some HCPs have identified that though PGHD from consumer devices might not be perfect or completely accurate, their perceived clinical value outweighs the alternative of having no data. Despite their perceived value, our findings reveal their use in clinical practice is still scarce.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)
RR2-10.2196/39389.
Topics: Humans; Telemedicine; Health Personnel; Patient Generated Health Data; Smartphone
PubMed: 38820580
DOI: 10.2196/49320 -
Journal of Medical Internet Research May 2024Mobile health (mHealth) apps have the potential to enhance health care service delivery. However, concerns regarding patients' confidentiality, privacy, and security... (Review)
Review
BACKGROUND
Mobile health (mHealth) apps have the potential to enhance health care service delivery. However, concerns regarding patients' confidentiality, privacy, and security consistently affect the adoption of mHealth apps. Despite this, no review has comprehensively summarized the findings of studies on this subject matter.
OBJECTIVE
This systematic review aims to investigate patients' perspectives and awareness of the confidentiality, privacy, and security of the data collected through mHealth apps.
METHODS
Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a comprehensive literature search was conducted in 3 electronic databases: PubMed, Ovid, and ScienceDirect. All the retrieved articles were screened according to specific inclusion criteria to select relevant articles published between 2014 and 2022.
RESULTS
A total of 33 articles exploring mHealth patients' perspectives and awareness of data privacy, security, and confidentiality issues and the associated factors were included in this systematic review. Thematic analyses of the retrieved data led to the synthesis of 4 themes: concerns about data privacy, confidentiality, and security; awareness; facilitators and enablers; and associated factors. Patients showed discordant and concordant perspectives regarding data privacy, security, and confidentiality, as well as suggesting approaches to improve the use of mHealth apps (facilitators), such as protection of personal data, ensuring that health status or medical conditions are not mentioned, brief training or education on data security, and assuring data confidentiality and privacy. Similarly, awareness of the subject matter differed across the studies, suggesting the need to improve patients' awareness of data security and privacy. Older patients, those with a history of experiencing data breaches, and those belonging to the higher-income class were more likely to raise concerns about the data security and privacy of mHealth apps. These concerns were not frequent among patients with higher satisfaction levels and those who perceived the data type to be less sensitive.
CONCLUSIONS
Patients expressed diverse views on mHealth apps' privacy, security, and confidentiality, with some of the issues raised affecting technology use. These findings may assist mHealth app developers and other stakeholders in improving patients' awareness and adjusting current privacy and security features in mHealth apps to enhance their adoption and use.
TRIAL REGISTRATION
PROSPERO CRD42023456658; https://tinyurl.com/ytnjtmca.
Topics: Humans; Confidentiality; Telemedicine; Mobile Applications; Computer Security; Privacy
PubMed: 38820572
DOI: 10.2196/50715 -
Systematic Reviews May 2024Many healthcare professionals are experiencing psychological distress. Electronic mental health (e-mental health) interventions are convenient and multifunctional. This... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Many healthcare professionals are experiencing psychological distress. Electronic mental health (e-mental health) interventions are convenient and multifunctional. This review aimed to examine the effectiveness of e-mental health interventions in enhancing the well-being of healthcare professionals and to identify moderating factors.
METHODS
A comprehensive and systematic retrieval of randomized controlled trial (RCT) studies was conducted across eight databases. Population, intervention, comparison, and outcome (PICO) were used to define eligibility criteria. Stress, anxiety, and depression were included as the main outcomes. The overall effect was calculated based on the random effect model, and the effect size was presented using the standardized mean difference. The characteristics of the research design, intervention object, and intervention design were further selected as potential moderating factors for subgroup analysis. Meta-regression analyses were finally performed, incorporating intervention duration and sample size as independent variables.
RESULTS
A total of 20 studies were included in the systematic review, and 17 were included in the meta-analysis. A large effect on relieving stress and anxiety and a small-to-medium effect on reducing depression were observed. Subgroup analyses showed that features including mindfulness approaches, online courses, computer use, group interventions, and professional guidance were more favorable in the design of services. Meta-regression revealed that intervention duration only affected anxiety symptoms. Caution should be exercised, as some subgroups had fewer studies and higher heterogeneity. For the secondary outcomes, a large effect on emotional exhaustion and a small-to-medium effect on well-being were observed.
CONCLUSION
In general, e-mental health interventions significantly improve the psychological health of healthcare staff. Future high-quality, large-scale studies targeting healthcare professionals and specific intervention scenarios are warranted.
Topics: Humans; Health Personnel; Depression; Stress, Psychological; Anxiety; Telemedicine; Mindfulness; Mental Health; Randomized Controlled Trials as Topic
PubMed: 38816879
DOI: 10.1186/s13643-024-02565-6