SynthesisJournal of medical Internet research2020
Barriers and Facilitators That Influence Telemedicine-Based, Real-Time, Online Consultation at Patients' Homes: Systematic Literature Review.
Synthesis in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 338 papers, 12 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
338 citing papers in PubMed, 12 syntheses or guidelines pooled it, 820 citations in OpenAlex.
- Examining the Impact of Telehealth Stoma Care Interventions on the Ostomates: A Systematic Review and Meta-Analysis.Journal of clinical nursing · 2026Pooled it
- Mapping global inequities in telemedicine implementation: An umbrella review of barriers and facilitators.PloS one · 2026Pooled it
- Impact of Telerehabilitation on Rehabilitation Efficacy and Patient Satisfaction After Knee Surgery: Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2025Pooled it
- A systematic review of influences on engagement with remote health interventions targeting weight management for individuals living with excess weight.International journal of obesity (2005) · 2025Pooled it
- Pooled it
- Attitudes towards Telemedicine Services and Associated Factors among health professionals in Ethiopia: a systematic review and meta-analysis.BMC health services research · 2024Pooled it
- Pooled it
- Remote interventions for informal caregivers of patients with stroke: a systematic review and meta-analysis.BMJ open · 2023Pooled it
- Facilitators of and Barriers to Accessing Hospital Medical Specialty Telemedicine Consultations During the COVID-19 Pandemic: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Use of Information and Communication Technologies among Adults in Weight Control: Systematic Review and Meta-Analysis.Nutrients · 2022Pooled it
- The experience of caregivers of chronically ill patients during the COVID-19: A Systematic Review.Chronic illness · 2022Pooled it
- Tele-medicine and improvement of mental health problems in COVID-19 pandemic: A systematic review.International journal of methods in psychiatric research · 2022Pooled it
- In-person or tele-orthopaedic care? A mixed-methods study exploring parents' perspectives on the advantages and challenges of both approaches care for children with cerebral palsy.BMC health services research · 2026Trial
- 3D Telemedicine Outperforms 2D Telemedicine: A Randomized Crossover Trial in Reconstructive Plastic Surgery.Plastic and reconstructive surgery · 2026Trial
- Post-rehabilitation self-management support on physical activity and nutrition, including mHealth, improves physical capacity, physical activity, and health related quality of life in people with Parkinson's- results from a randomised controlled trial.The international journal of behavioral nutrition and physical activity · 2026Trial
- Enabling and hindering aspects of the i²TransHealth e-health intervention for transgender and gender diverse people in Germany: a qualitative process evaluation.BMC health services research · 2026Trial
- Trial
- Pragmatic randomized controlled trial comparing a complex telemedicine-based intervention with usual care in patients with chronic conditions.The European journal of health economics : HEPAC : health economics in prevention and care · 2024Trial
- Experiences with telemedicine-based follow-up of chronic conditions: the views of patients and health personnel enrolled in a pragmatic randomized controlled trial.BMC health services research · 2024Trial
- Factors Influencing Telehealth Service Use and Health Outcomes in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis: Cross-Sectional Study.Journal of medical Internet research · 2023Trial
278 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth care providers are adopting information and communication technologies (ICTs) to enhance their services. Telemedicine is one of the services that rely heavily on ICTs to enable remote patients to communicate with health care professionals; in this case, the patient communicates with the health care professional for a follow-up or for a consultation about his or her health condition. This communication process is referred to as an e-consultation. In this paper, telemedicine services refer to health care services that use ICTs, which enable patients to share, transfer, and communicate data or information in real time (ie, synchronous) from their home with a care provider-normally a physician-at a clinical site. However, the use of e-consultation services can be positively or negatively influenced by external or internal factors. External factors refer to the environment surrounding the system as well as the system itself, while internal factors refer to user behavior and motivation.
objectiveThis review aims to investigate the barriers and the facilitators that influence the use of home consultation systems in the health care context. This review also aims to identify the effectiveness of Home Online Health Consultation (HOHC) systems in improving patients' health as well as their satisfaction with the systems.
methodsWe conducted a systematic literature review to search for articles-empirical studies-about online health consultation in four digital libraries: Scopus, Association for Computing Machinery, PubMed, and Web of Science. The database search yielded 2518 articles; after applying the inclusion and exclusion criteria, the number of included articles for the final review was 45. A qualitative content analysis was performed to identify barriers and facilitators to HOHC systems, their effectiveness, and patients' satisfaction with them.
resultsThe systematic literature review identified several external and internal facilitators and barriers to HOHC systems that were used in the creation of a HOHC framework. The framework consists of four requirements; the framework also consists of 17 facilitators and eight barriers, which were further categorized as internal and external influencers on HOHC.
conclusionsPatients from different age groups and with different health conditions benefited from remote health services. HOHC via video conferencing was effective in delivering online treatment and was well-accepted by patients, as it simulated in-person, face-to-face consultation. Acceptance by patients increased as a result of online consultation facilitators that promoted effective and convenient remote treatment. However, some patients preferred face-to-face consultation and showed resistance to online consultation. Resistance to online consultation was influenced by some of the identified barriers. Overall, the framework identified the facilitators and barriers that positively and negatively influenced the uptake of HOHC systems, respectively.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.