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Journal of Medical Internet Research Jun 2020There is a high prevalence of children and young people (CYP) experiencing mental health (MH) problems. Owing to accessibility, affordability, and scalability, an...
BACKGROUND
There is a high prevalence of children and young people (CYP) experiencing mental health (MH) problems. Owing to accessibility, affordability, and scalability, an increasing number of digital health interventions (DHIs) have been developed and incorporated into MH treatment. Studies have shown the potential of DHIs to improve MH outcomes. However, the modes of delivery used to engage CYP in digital MH interventions may differ, with implications for the extent to which findings pertain to the level of engagement with the DHI. Knowledge of the various modalities could aid in the development of interventions that are acceptable and feasible.
OBJECTIVE
This review aimed to (1) identify modes of delivery used in CYP digital MH interventions, (2) explore influencing factors to usage and implementation, and (3) investigate ways in which the interventions have been evaluated and whether CYP engage in DHIs.
METHODS
A literature search was performed in the Cochrane Library, Excerpta Medica dataBASE (EMBASE), Medical Literature Analysis and Retrieval System Online (MEDLINE), and PsycINFO databases using 3 key concepts "child and adolescent mental health," "digital intervention," and "engagement." Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed using rigorous inclusion criteria and screening by at least two reviewers. The selected articles were assessed for quality using the mixed methods appraisal tool, and data were extracted to address the review aims. Data aggregation and synthesis were conducted and presented as descriptive numerical summaries and a narrative synthesis, respectively.
RESULTS
This study identified 6 modes of delivery from 83 articles and 71 interventions for engaging CYP: (1) websites, (2) games and computer-assisted programs, (3) apps, (4) robots and digital devices, (5) virtual reality, and (6) mobile text messaging. Overall, 2 themes emerged highlighting intervention-specific and person-specific barriers and facilitators to CYP's engagement. These themes encompassed factors such as suitability, usability, and acceptability of the DHIs and motivation, capability, and opportunity for the CYP using DHIs. The literature highlighted that CYP prefer DHIs with features such as videos, limited text, ability to personalize, ability to connect with others, and options to receive text message reminders. The findings of this review suggest a high average retention rate of 79% in studies involving various DHIs.
CONCLUSIONS
The development of DHIs is increasing and may be of interest to CYP, particularly in the area of MH treatment. With continuous technological advancements, it is important to know which modalities may increase engagement and help CYP who are facing MH problems. This review identified the existing modalities and highlighted the influencing factors from the perspective of CYP. This knowledge provides information that can be used to design and evaluate new interventions and offers important theoretical insights into how and why CYP engage in DHIs.
Topics: Adolescent; Child; Child, Preschool; Female; Humans; Male; Mental Health; Psychotherapy; Telemedicine; Young Adult
PubMed: 32442160
DOI: 10.2196/16317 -
Journal of Medical Internet Research Oct 2019E-learning is rapidly growing as an alternative way of delivering education in nursing. Two contexts regarding the use of e-learning in nursing are discussed in the...
BACKGROUND
E-learning is rapidly growing as an alternative way of delivering education in nursing. Two contexts regarding the use of e-learning in nursing are discussed in the literature: (1) education among nursing students and (2) nurses' continuing education within a life-long learning perspective. A systematic review of systematic reviews on e-learning for nursing and health professional students in an academic context has been published previously; however, no such review exists regarding e-learning for registered nurses in a continuing education context.
OBJECTIVE
We aimed to systematically summarize the qualitative and quantitative evidence regarding the effects of e-learning on nursing care among nurses in a continuing education context.
METHODS
We conducted a systematic review of systematic qualitative, quantitative, and mixed-studies reviews, searching within four bibliographic databases. The eligibility criteria were formulated using the population, interventions, comparisons, outcomes, and study design (PICOS) format. The included population was registered nurses. E-learning interventions were included and compared with face-to-face and any other e-learning interventions, as well as blended learning. The outcomes of interest were derived from two models: nursing-sensitive indicators from the Nursing Care Performance Framework (eg, teaching and collaboration) and the levels of evaluation from the Kirkpatrick model (ie, reaction, learning, behavior, and results).
RESULTS
We identified a total of 12,906 records. We retrieved 222 full-text papers for detailed evaluation, from which 22 systematic reviews published between 2008 and 2018 met the eligibility criteria. The effects of e-learning on nursing care were grouped under Kirkpatrick's levels of evaluation: (1) nurse reactions to e-learning, (2) nurse learning, (3) behavior, and (4) results. Level 2, nurse learning, was divided into three subthemes: knowledge, skills, attitude and self-efficacy. Level 4, results, was divided into patient outcomes and costs. Most of the outcomes were reported in a positive way. For instance, nurses were satisfied with the use of e-learning and they improved their knowledge. The most common topics covered by the e-learning interventions were medication calculation, preparation, and administration.
CONCLUSIONS
The effects of e-learning are mainly reported in terms of nurse reactions, knowledge, and skills (ie, the first two levels of the Kirkpatrick model). The effectiveness of e-learning interventions for nurses in a continuing education context remains unknown regarding how the learning can be transferred to change practice and affect patient outcomes. Further scientific, methodological, theoretical, and practice-based breakthroughs are needed in the fast-growing field of e-learning in nursing education, especially in a life-learning perspective.
TRIAL REGISTRATION
International Prospective Register of Systematic Reviews (PROSPERO) CRD42016050714; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=50714.
Topics: Computer-Assisted Instruction; Education, Continuing; Education, Nursing; Humans; Internet; Telemedicine
PubMed: 31579016
DOI: 10.2196/15118 -
Journal of Medical Internet Research Feb 2021Cardiovascular disease (CVD) is the leading cause of death worldwide. Despite strong evidence supporting the benefits of cardiac rehabilitation (CR), over 80% of...
BACKGROUND
Cardiovascular disease (CVD) is the leading cause of death worldwide. Despite strong evidence supporting the benefits of cardiac rehabilitation (CR), over 80% of eligible patients do not participate in CR. Digital health technologies (ie, the delivery of care using the internet, wearable devices, and mobile apps) have the potential to address the challenges associated with traditional facility-based CR programs, but little is known about the comprehensiveness of these interventions to serve as digital approaches to CR. Overall, there is a lack of a systematic evaluation of the current literature on digital interventions for CR.
OBJECTIVE
The objective of this systematic literature review is to provide an in-depth analysis of the potential of digital health technologies to address the challenges associated with traditional CR. Through this review, we aim to summarize the current literature on digital interventions for CR, identify the key components of CR that have been successfully addressed through digital interventions, and describe the gaps in research that need to be addressed for sustainable and scalable digital CR interventions.
METHODS
Our strategy for identifying the primary literature pertaining to CR with digital solutions (defined as technology employed to deliver remote care beyond the use of the telephone) included a consultation with an expert in the field of digital CR and searches of the PubMed (MEDLINE), Embase, CINAHL, and Cochrane databases for original studies published from January 1990 to October 2018.
RESULTS
Our search returned 31 eligible studies, of which 22 were randomized controlled trials. The reviewed CR interventions primarily targeted physical activity counseling (31/31, 100%), baseline assessment (30/31, 97%), and exercise training (27/31, 87%). The most commonly used modalities were smartphones or mobile devices (20/31, 65%), web-based portals (18/31, 58%), and email-SMS (11/31, 35%). Approximately one-third of the studies addressed the CR core components of nutrition counseling, psychological management, and weight management. In contrast, less than a third of the studies addressed other CR core components, including the management of lipids, diabetes, smoking cessation, and blood pressure.
CONCLUSIONS
Digital technologies have the potential to increase access and participation in CR by mitigating the challenges associated with traditional, facility-based CR. However, previously evaluated interventions primarily focused on physical activity counseling and exercise training. Thus, further research is required with more comprehensive CR interventions and long-term follow-up to understand the clinical impact of digital interventions.
Topics: Cardiac Rehabilitation; Humans; Mobile Applications; Telemedicine
PubMed: 33555259
DOI: 10.2196/18773 -
Journal of Medical Internet Research Feb 2015Adherence to chronic disease management is critical to achieving improved health outcomes, quality of life, and cost-effective health care. As the burden of chronic... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Adherence to chronic disease management is critical to achieving improved health outcomes, quality of life, and cost-effective health care. As the burden of chronic diseases continues to grow globally, so does the impact of non-adherence. Mobile technologies are increasingly being used in health care and public health practice (mHealth) for patient communication, monitoring, and education, and to facilitate adherence to chronic diseases management.
OBJECTIVE
We conducted a systematic review of the literature to evaluate the effectiveness of mHealth in supporting the adherence of patients to chronic diseases management ("mAdherence"), and the usability, feasibility, and acceptability of mAdherence tools and platforms in chronic disease management among patients and health care providers.
METHODS
We searched PubMed, Embase, and EBSCO databases for studies that assessed the role of mAdherence in chronic disease management of diabetes mellitus, cardiovascular disease, and chronic lung diseases from 1980 through May 2014. Outcomes of interest included effect of mHealth on patient adherence to chronic diseases management, disease-specific clinical outcomes after intervention, and the usability, feasibility, and acceptability of mAdherence tools and platforms in chronic disease management among target end-users.
RESULTS
In all, 107 articles met all inclusion criteria. Short message service was the most commonly used mAdherence tool in 40.2% (43/107) of studies. Usability, feasibility, and acceptability or patient preferences for mAdherence interventions were assessed in 57.9% (62/107) of studies and found to be generally high. A total of 27 studies employed randomized controlled trial (RCT) methods to assess impact on adherence behaviors, and significant improvements were observed in 15 of those studies (56%). Of the 41 RCTs that measured effects on disease-specific clinical outcomes, significant improvements between groups were reported in 16 studies (39%).
CONCLUSIONS
There is potential for mHealth tools to better facilitate adherence to chronic disease management, but the evidence supporting its current effectiveness is mixed. Further research should focus on understanding and improving how mHealth tools can overcome specific barriers to adherence.
Topics: Cardiovascular Diseases; Chronic Disease; Diabetes Mellitus; Disease Management; Humans; Lung Diseases; Patient Compliance; Randomized Controlled Trials as Topic; Telemedicine; Text Messaging; Treatment Outcome
PubMed: 25803266
DOI: 10.2196/jmir.3951 -
Obstetrics and Gynecology Feb 2020To systematically review the effectiveness of telehealth interventions for improving obstetric and gynecologic health outcomes.
OBJECTIVE
To systematically review the effectiveness of telehealth interventions for improving obstetric and gynecologic health outcomes.
DATA SOURCES
We conducted a comprehensive search for primary literature in ClinicalTrials.gov, Cochrane Library, Cochrane Collaboration Registry of Controlled Trials, EMBASE, PubMed, and MEDLINE.
METHODS OF STUDY SELECTION
Qualifying primary studies had a comparison group, were conducted in countries ranked very high on the United Nations Human Development Index, published in English, and evaluated obstetric and gynecologic health outcomes. Cochrane Collaboration's tool and ROBINS-I tool were used for assessing risk of bias. Summary of evidence tables were created using the United States Preventive Services Task Force Summary of Evidence Table for Evidence Reviews.
TABULATION, INTEGRATION, RESULTS
Of the 3,926 published abstracts identified, 47 met criteria for inclusion and included 31,967 participants. Telehealth interventions overall improved obstetric outcomes related to smoking cessation and breastfeeding. Telehealth interventions decreased the need for high-risk obstetric monitoring office visits while maintaining maternal and fetal outcomes. One study found reductions in diagnosed preeclampsia among women with gestational hypertension. Telehealth interventions were effective for continuation of oral and injectable contraception; one text-based study found increased oral contraception rates at 6 months. Telehealth provision of medication abortion services had similar clinical outcomes compared with in-person care and improved access to early abortion. Few studies suggested utility for telehealth to improve notification of sexually transmitted infection test results and app-based intervention to improve urinary incontinence symptoms.
CONCLUSION
Telehealth interventions were associated with improvements in obstetric outcomes, perinatal smoking cessation, breastfeeding, early access to medical abortion services, and schedule optimization for high-risk obstetrics. Further well-designed studies are needed to examine these interventions and others to generate evidence that can inform decisions about implementation of newer telehealth technologies into obstetrics and gynecology practice.
Topics: Female; Gynecology; Humans; Obstetrics; Pregnancy; Prenatal Care; Quality of Health Care; Randomized Controlled Trials as Topic; Telemedicine
PubMed: 31977782
DOI: 10.1097/AOG.0000000000003646 -
The Cochrane Database of Systematic... Sep 2015Telemedicine (TM) is the use of telecommunication systems to deliver health care at a distance. It has the potential to improve patient health outcomes, access to health... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Telemedicine (TM) is the use of telecommunication systems to deliver health care at a distance. It has the potential to improve patient health outcomes, access to health care and reduce healthcare costs. As TM applications continue to evolve it is important to understand the impact TM might have on patients, healthcare professionals and the organisation of care.
OBJECTIVES
To assess the effectiveness, acceptability and costs of interactive TM as an alternative to, or in addition to, usual care (i.e. face-to-face care, or telephone consultation).
SEARCH METHODS
We searched the Effective Practice and Organisation of Care (EPOC) Group's specialised register, CENTRAL, MEDLINE, EMBASE, five other databases and two trials registers to June 2013, together with reference checking, citation searching, handsearching and contact with study authors to identify additional studies.
SELECTION CRITERIA
We considered randomised controlled trials of interactive TM that involved direct patient-provider interaction and was delivered in addition to, or substituting for, usual care compared with usual care alone, to participants with any clinical condition. We excluded telephone only interventions and wholly automatic self-management TM interventions.
DATA COLLECTION AND ANALYSIS
For each condition, we pooled outcome data that were sufficiently homogenous using fixed effect meta-analysis. We reported risk ratios (RR) and 95% confidence intervals (CI) for dichotomous outcomes, and mean differences (MD) for continuous outcomes.
MAIN RESULTS
We included 93 eligible trials (N = 22,047 participants), which evaluated the effectiveness of interactive TM delivered in addition to (32% of studies), as an alternative to (57% of studies), or partly substituted for usual care (11%) as compared to usual care alone.The included studies recruited patients with the following clinical conditions: cardiovascular disease (36), diabetes (21), respiratory conditions (9), mental health or substance abuse conditions (7), conditions requiring a specialist consultation (6), co morbidities (3), urogenital conditions (3), neurological injuries and conditions (2), gastrointestinal conditions (2), neonatal conditions requiring specialist care (2), solid organ transplantation (1), and cancer (1).Telemedicine provided remote monitoring (55 studies), or real-time video-conferencing (38 studies), which was used either alone or in combination. The main TM function varied depending on clinical condition, but fell typically into one of the following six categories, with some overlap: i) monitoring of a chronic condition to detect early signs of deterioration and prompt treatment and advice, (41); ii) provision of treatment or rehabilitation (12), for example the delivery of cognitive behavioural therapy, or incontinence training; iii) education and advice for self-management (23), for example nurses delivering education to patients with diabetes or providing support to parents of very low birth weight infants or to patients with home parenteral nutrition; iv) specialist consultations for diagnosis and treatment decisions (8), v) real-time assessment of clinical status, for example post-operative assessment after minor operation or follow-up after solid organ transplantation (8) vi), screening, for angina (1).The type of data transmitted by the patient, the frequency of data transfer, (e.g. telephone, e-mail, SMS) and frequency of interactions between patient and healthcare provider varied across studies, as did the type of healthcare provider/s and healthcare system involved in delivering the intervention.We found no difference between groups for all-cause mortality for patients with heart failure (16 studies; N = 5239; RR:0.89, 95% CI 0.76 to 1.03, P = 0.12; I(2) = 44%) (moderate to high certainty of evidence) at a median of six months follow-up. Admissions to hospital (11 studies; N = 4529) ranged from a decrease of 64% to an increase of 60% at median eight months follow-up (moderate certainty of evidence). We found some evidence of improved quality of life (five studies; N = 482; MD:-4.39, 95% CI -7.94 to -0.83; P < 0.02; I(2) = 0%) (moderate certainty of evidence) for those allocated to TM as compared with usual care at a median three months follow-up. In studies recruiting participants with diabetes (16 studies; N = 2768) we found lower glycated haemoglobin (HbA1c %) levels in those allocated to TM than in controls (MD -0.31, 95% CI -0.37 to -0.24; P < 0.00001; I(2)= 42%, P = 0.04) (high certainty of evidence) at a median of nine months follow-up. We found some evidence for a decrease in LDL (four studies, N = 1692; MD -12.45, 95% CI -14.23 to -10.68; P < 0.00001; I(2 =) 0%) (moderate certainty of evidence), and blood pressure (four studies, N = 1770: MD: SBP:-4.33, 95% CI -5.30 to -3.35, P < 0.00001; I(2) = 17%; DBP: -2.75 95% CI -3.28 to -2.22, P < 0.00001; I(2) = 45% (moderate certainty evidence), in TM as compared with usual care.Seven studies that recruited participants with different mental health and substance abuse problems, reported no differences in the effect of therapy delivered over video-conferencing, as compared to face-to-face delivery. Findings from the other studies were inconsistent; there was some evidence that monitoring via TM improved blood pressure control in participants with hypertension, and a few studies reported improved symptom scores for those with a respiratory condition. Studies recruiting participants requiring mental health services and those requiring specialist consultation for a dermatological condition reported no differences between groups.
AUTHORS' CONCLUSIONS
The findings in our review indicate that the use of TM in the management of heart failure appears to lead to similar health outcomes as face-to-face or telephone delivery of care; there is evidence that TM can improve the control of blood glucose in those with diabetes. The cost to a health service, and acceptability by patients and healthcare professionals, is not clear due to limited data reported for these outcomes. The effectiveness of TM may depend on a number of different factors, including those related to the study population e.g. the severity of the condition and the disease trajectory of the participants, the function of the intervention e.g., if it is used for monitoring a chronic condition, or to provide access to diagnostic services, as well as the healthcare provider and healthcare system involved in delivering the intervention.
Topics: Communication; Diabetes Mellitus; Heart Failure; Humans; Mental Disorders; Monitoring, Physiologic; Outcome and Process Assessment, Health Care; Physician-Patient Relations; Practice Patterns, Physicians'; Telemedicine; Videoconferencing
PubMed: 26343551
DOI: 10.1002/14651858.CD002098.pub2 -
Journal of Medical Internet Research May 2021Health care organizations are increasingly working with eHealth. However, the integration of eHealth into regular health care is challenging. It requires organizations... (Review)
Review
BACKGROUND
Health care organizations are increasingly working with eHealth. However, the integration of eHealth into regular health care is challenging. It requires organizations to change the way they work and their structure and care processes to be adapted to ensure that eHealth supports the attainment of the desired outcomes.
OBJECTIVE
The aims of this study are to investigate whether there are identifiable indicators in the structure, process, and outcome categories that are related to the successful integration of eHealth in regular health care, as well as to investigate which indicators of structure and process are related to outcome indicators.
METHODS
A systematic literature review was conducted using the Donabedian Structure-Process-Outcome (SPO) framework to identify indicators that are related to the integration of eHealth into health care organizations. Data extraction sheets were designed to provide an overview of the study characteristics, eHealth characteristics, and indicators. The extracted indicators were organized into themes and subthemes of the structure, process, and outcome categories.
RESULTS
Eleven studies were included, covering a variety of study designs, diseases, and eHealth tools. All studies identified structure, process, and outcome indicators that were potentially related to the integration of eHealth. The number of indicators found in the structure, process, and outcome categories was 175, 84, and 88, respectively. The themes with the most-noted indicators and their mutual interaction were inner setting (51 indicators, 16 interactions), care receiver (40 indicators, 11 interactions), and technology (38 indicators, 12 interactions)-all within the structure category; health care actions (38 indicators, 15 interactions) within the process category; and efficiency (30 indicators, 15 interactions) within the outcome category. In-depth examination identified four most-reported indicators, namely "deployment of human resources" (n=11), in the inner setting theme within the structure category; "ease of use" (n=16) and "technical issue" (n=10), both in the technology theme within the structure category; and "health logistics" (n=26), in the efficiency theme within the outcome category.
CONCLUSIONS
Three principles are important for the successful integration of eHealth into health care. First, the role of the care receiver needs to be incorporated into the organizational structure and daily care process. Second, the technology must be well attuned to the organizational structure and daily care process. Third, the deployment of human resources to the daily care processes needs to be aligned with the desired end results. Not adhering to these points could negatively affect the organization, daily process, or the end results.
Topics: Delivery of Health Care; Humans; Outcome and Process Assessment, Health Care; Telemedicine
PubMed: 33970123
DOI: 10.2196/27180 -
Journal of Medical Internet Research May 2017Self-management support is one mechanism by which telehealth interventions have been proposed to facilitate management of long-term conditions. (Review)
Review
Telehealth Interventions to Support Self-Management of Long-Term Conditions: A Systematic Metareview of Diabetes, Heart Failure, Asthma, Chronic Obstructive Pulmonary Disease, and Cancer.
BACKGROUND
Self-management support is one mechanism by which telehealth interventions have been proposed to facilitate management of long-term conditions.
OBJECTIVE
The objectives of this metareview were to (1) assess the impact of telehealth interventions to support self-management on disease control and health care utilization, and (2) identify components of telehealth support and their impact on disease control and the process of self-management. Our goal was to synthesise evidence for telehealth-supported self-management of diabetes (types 1 and 2), heart failure, asthma, chronic obstructive pulmonary disease (COPD) and cancer to identify components of effective self-management support.
METHODS
We performed a metareview (a systematic review of systematic reviews) of randomized controlled trials (RCTs) of telehealth interventions to support self-management in 6 exemplar long-term conditions. We searched 7 databases for reviews published from January 2000 to May 2016 and screened identified studies against eligibility criteria. We weighted reviews by quality (revised A Measurement Tool to Assess Systematic Reviews), size, and relevance. We then combined our results in a narrative synthesis and using harvest plots.
RESULTS
We included 53 systematic reviews, comprising 232 unique RCTs. Reviews concerned diabetes (type 1: n=6; type 2, n=11; mixed, n=19), heart failure (n=9), asthma (n=8), COPD (n=8), and cancer (n=3). Findings varied between and within disease areas. The highest-weighted reviews showed that blood glucose telemonitoring with feedback and some educational and lifestyle interventions improved glycemic control in type 2, but not type 1, diabetes, and that telemonitoring and telephone interventions reduced mortality and hospital admissions in heart failure, but these findings were not consistent in all reviews. Results for the other conditions were mixed, although no reviews showed evidence of harm. Analysis of the mediating role of self-management, and of components of successful interventions, was limited and inconclusive. More intensive and multifaceted interventions were associated with greater improvements in diabetes, heart failure, and asthma.
CONCLUSIONS
While telehealth-mediated self-management was not consistently superior to usual care, none of the reviews reported any negative effects, suggesting that telehealth is a safe option for delivery of self-management support, particularly in conditions such as heart failure and type 2 diabetes, where the evidence base is more developed. Larger-scale trials of telehealth-supported self-management, based on explicit self-management theory, are needed before the extent to which telehealth technologies may be harnessed to support self-management can be established.
Topics: Asthma; Chronic Disease; Delivery of Health Care; Diabetes Mellitus, Type 2; Heart Failure; Humans; Neoplasms; Pulmonary Disease, Chronic Obstructive; Self-Management; Telemedicine
PubMed: 28526671
DOI: 10.2196/jmir.6688 -
Journal of Medical Internet Research Aug 2019Effective communication skills are essential in diagnosis and treatment processes and in building the doctor-patient relationship. (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Effective communication skills are essential in diagnosis and treatment processes and in building the doctor-patient relationship.
OBJECTIVE
Our aim was to evaluate the effectiveness of digital education in medical students for communication skills development. Broadly, we assessed whether digital education could improve the quality of future doctors' communication skills.
METHODS
We performed a systematic review and searched seven electronic databases and two trial registries for randomized controlled trials (RCTs) and cluster RCTs (cRCTs) published between January 1990 and September 2018. Two reviewers independently screened the citations, extracted data from the included studies, and assessed the risk of bias. We also assessed the quality of evidence using the Grading of Recommendations, Assessment, Development, and Evaluations assessment (GRADE).
RESULTS
We included 12 studies with 2101 medical students, of which 10 were RCTs and two were cRCTs. The digital education included online modules, virtual patient simulations, and video-assisted oral feedback. The control groups included didactic lectures, oral feedback, standard curriculum, role play, and no intervention as well as less interactive forms of digital education. The overall risk of bias was high, and the quality of evidence ranged from moderate to very low. For skills outcome, meta-analysis of three studies comparing digital education to traditional learning showed no statistically significant difference in postintervention skills scores between the groups (standardized mean difference [SMD]=-0.19; 95% CI -0.9 to 0.52; I=86%, N=3 studies [304 students]; small effect size; low-quality evidence). Similarly, a meta-analysis of four studies comparing the effectiveness of blended digital education (ie, online or offline digital education plus traditional learning) and traditional learning showed no statistically significant difference in postintervention skills between the groups (SMD=0.15; 95% CI -0.26 to 0.56; I=86%; N=4 studies [762 students]; small effect size; low-quality evidence). The additional meta-analysis of four studies comparing more interactive and less interactive forms of digital education also showed little or no difference in postintervention skills scores between the two groups (SMD=0.12; 95% CI: -0.09 to 0.33; I=40%; N=4 studies [893 students]; small effect size; moderate-quality evidence). For knowledge outcome, two studies comparing the effectiveness of blended online digital education and traditional learning reported no difference in postintervention knowledge scores between the groups (SMD=0.18; 95% CI: -0.2 to 0.55; I=61%; N=2 studies [292 students]; small effect size; low-quality evidence). The findings on attitudes, satisfaction, and patient-related outcomes were limited or mixed. None of the included studies reported adverse outcomes or economic evaluation of the interventions.
CONCLUSIONS
We found low-quality evidence showing that digital education is as effective as traditional learning in medical students' communication skills training. Blended digital education seems to be at least as effective as and potentially more effective than traditional learning for communication skills and knowledge. We also found no difference in postintervention skills between more and less interactive forms of digital education. There is a need for further research to evaluate the effectiveness of other forms of digital education such as virtual reality, serious gaming, and mobile learning on medical students' attitude, satisfaction, and patient-related outcomes as well as the adverse effects and cost-effectiveness of digital education.
Topics: Communication; Education, Distance; Female; Humans; Male; Students, Medical; Telemedicine
PubMed: 31456579
DOI: 10.2196/12967 -
The Cochrane Database of Systematic... Aug 2018Long-term physical conditions affect 10% to 12% of children and adolescents worldwide; these individuals are at greater risk of developing psychological problems,... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Long-term physical conditions affect 10% to 12% of children and adolescents worldwide; these individuals are at greater risk of developing psychological problems, particularly anxiety and depression. Access to face-to-face treatment for such problems is often limited, and available interventions usually have not been tested with this population. As technology improves, e-health interventions (delivered via digital means, such as computers and smart phones and ranging from simple text-based programmes through to multimedia and interactive programmes, serious games, virtual reality and biofeedback programmes) offer a potential solution to address the psychological needs of this group of young people.
OBJECTIVES
To assess the effectiveness of e-health interventions in comparison with attention placebos, psychological placebos, treatment as usual, waiting-list controls, or non-psychological treatments for treating anxiety and depression in children and adolescents with long-term physical conditions.
SEARCH METHODS
We searched the Cochrane Common Mental Disorders Group's Controlled Trials Register (CCMDTR to May 2016), the Cochrane Central Register of Controlled Trials (CENTRAL) (Issue 8, 2017), Web of Science (1900 - 18 August 2016, updated 31 August 2017) and Ovid MEDLINE, Embase, PsycINFO (cross-search 2016 to 18 Aug 2017). We hand-searched relevant conference proceedings, reference lists of included articles, and the grey literature to May 2016. We also searched international trial registries to identify unpublished or ongoing trials.
SELECTION CRITERIA
We included randomised controlled trials (RCTs), cluster-randomised trials, and cross-over trials of e-health interventions for treating any type of long-term physical condition in children and adolescents (aged 0 to 18 years), and that measured changes in symptoms or diagnoses of anxiety, depression, or subthreshold depression. We defined long-term physical conditions as those that were more than three-months' duration. We assessed symptoms of anxiety and depression using patient- or clinician-administered validated rating scales based on DSM III, IV or 5 (American Psychological Association 2013), or ICD 9 or 10 criteria (World Health Organization 1992). Formal depressive and anxiety disorders were diagnosed using structured clinical interviews. Attention placebo, treatment as usual, waiting list, psychological placebo, and other non-psychological therapies were eligible comparators.
DATA COLLECTION AND ANALYSIS
Two review authors independently reviewed titles, abstracts, and full-text articles; discrepancies were resolved through discussion or addressed by a third author. When available, we used odds ratio (OR) to compare dichotomous data and standardised mean differences (SMD) to analyse continuous data, both with 95% confidence intervals (CI). We undertook meta-analysis when treatments, participants, and the underlying clinical question were adequately similar. Otherwise, we undertook a narrative analysis.
MAIN RESULTS
We included five trials of three interventions (Breathe Easier Online, Web-MAP, and multimodal cognitive behavioural therapy (CBT)), which included 463 participants aged 10 to 18 years. Each trial contributed to at least one meta-analysis. Trials involved children and adolescents with long-term physical conditions, such as chronic headache (migraine, tension headache, and others), chronic pain conditions (abdominal, musculoskeletal, and others), chronic respiratory illness (asthma, cystic fibrosis, and others), and symptoms of anxiety or depression. Participants were recruited from community settings and hospital clinics in high income countries.For the primary outcome of change in depression symptoms versus any control, there was very low-quality evidence meaning that it could not be determined whether e-health interventions were clearly better than any comparator (SMD -0.06, 95% CI -0.35 to 0.23; five RCTs, 441 participants). For the primary outcome of change in anxiety symptoms versus any comparator, there was very low-quality evidence meaning that it could not be determined whether e-health interventions were clearly better than any comparator (SMD -0.07, 95% CI -0.29 to 0.14; two RCTs, 324 participants). For the primary outcome of treatment acceptability, there was very low-quality evidence that e-health interventions were less acceptable than any comparator (SMD 0.46, 95% CI 0.23 to 0.69; two RCTs, 304 participants).For the secondary outcome of quality of life, there was very low-quality evidence meaning that it could not be determined whether e-health interventions were clearly better than any comparator (SMD -0.83, 95% CI -1.53 to -0.12; one RCT, 34 participants). For the secondary outcome of functioning, there was very low-quality evidence meaning that it could not be determined whether e-health interventions were clearly better than any comparator (SMD -0.08, 95% CI -0.33 to 0.18; three RCTs, 368 participants). For the secondary outcome of status of long-term physical condition, there was very low-quality evidence meaning that it could not be determined whether e-health interventions were clearly better than any comparator (SMD 0.06, 95% CI -0.12 to 0.24; five RCTs, 463 participants).The risk of selection bias was considered low in most trials. However, the risk of bias due to inadequate blinding of participants or outcome assessors was considered unclear or high in all trials. Only one study had a published protocol; two trials had incomplete outcome data. All trials were conducted by the intervention developers, introducing another possible bias. No adverse effects were reported by any authors.
AUTHORS' CONCLUSIONS
At present, the field of e-health interventions for the treatment of anxiety or depression in children and adolescents with long-term physical conditions is limited to five low quality trials. The very low-quality of the evidence means the effects of e-health interventions are uncertain at this time, especially in children aged under 10 years.Although it is too early to recommend e-health interventions for this clinical population, given their growing number, and the global improvement in access to technology, there appears to be room for the development and evaluation of acceptable and effective technologically-based treatments to suit children and adolescents with long-term physical conditions.
Topics: Adolescent; Anxiety; Breathing Exercises; Child; Chronic Disease; Cognitive Behavioral Therapy; Depression; Humans; Randomized Controlled Trials as Topic; Telemedicine; Treatment Outcome
PubMed: 30110718
DOI: 10.1002/14651858.CD012489.pub2