Subtopic Deep Dive
Telemedicine Barriers and Adoption Challenges
Research Guide
What is Telemedicine Barriers and Adoption Challenges?
Telemedicine Barriers and Adoption Challenges examines organizational, technical, regulatory, and socio-economic obstacles hindering the adoption, scale-up, spread, and sustainability of telehealth technologies post-implementation.
Researchers apply frameworks like NASSS to analyze nonadoption, abandonment, and implementation failures (Greenhalgh et al., 2017, 2295 citations). Systematic reviews identify success factors such as technology usefulness and user needs (Granja et al., 2018, 597 citations; Harst et al., 2019, 328 citations). COVID-19 exacerbated digital divides in telemedicine access (Litchfield et al., 2021, 264 citations).
Why It Matters
NASSS framework guides technology design and policy to overcome scale-up barriers, applied in video consulting studies (Greenhalgh et al., 2017; James et al., 2021, 173 citations). Understanding acceptance theories informs clinician training and patient engagement strategies (Harst et al., 2019). Digital divide analyses during COVID-19 support equitable telehealth policies, reducing disparities in disadvantaged populations (Litchfield et al., 2021). Frameworks like those in Granja et al. (2018) evaluate eHealth interventions for sustained quality improvements in diagnosis and management.
Key Research Challenges
Nonadoption and Abandonment
NASSS framework identifies technology, organization, and patient factors leading to nonadoption or abandonment (Greenhalgh et al., 2017). Real-world video consultations reveal micro-level clinician judgments limit scalability (Greenhalgh et al., 2018, 384 citations). Empirical testing needed for diverse innovations.
Digital Divide Exacerbation
COVID-19 widened access gaps for disadvantaged groups reliant on digital health (Litchfield et al., 2021). Pre-existing disparities in utilization hinder equity (Litchfield et al., 2021). Interventions must address hardware, skills, and infrastructure deficits.
Scale-Up and Sustainability
Post-COVID video consulting struggles with spread beyond acute phases (James et al., 2021). Complexity at macro, meso, micro levels requires ethical planning (Greenhalgh et al., 2021, 162 citations). Theory-informed strategies lacking for long-term viability (Heinsch et al., 2021).
Essential Papers
Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies
Trisha Greenhalgh, Joseph Wherton, Chrysanthi Papoutsi et al. · 2017 · Journal of Medical Internet Research · 2.3K citations
Subject to further empirical testing, NASSS could be applied across a range of technological innovations in health and social care. It has several potential uses: (1) to inform the design of a new ...
Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature
Conceição Granja, Wouter Janssen, Monika Alise Johansen · 2018 · Journal of Medical Internet Research · 597 citations
The reviewed literature suggested that, to increase the likelihood of success of eHealth interventions, future research must ensure a positive impact in the quality of care, with particular attenti...
Real-World Implementation of Video Outpatient Consultations at Macro, Meso, and Micro Levels: Mixed-Method Study
Trisha Greenhalgh, S. E. Shaw, Joseph Wherton et al. · 2018 · Journal of Medical Internet Research · 384 citations
Video outpatient consultations appear safe, effective, and convenient for patients in situations where participating clinicians judge them clinically appropriate, but such situations are a fraction...
Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review
Lorenz Harst, Hendrikje Lantzsch, Madlen Scheibe · 2019 · Journal of Medical Internet Research · 328 citations
The main finding of this review is the applicability of technology acceptance models and theories on telemedicine adoption. Characteristics of the technology, such as its usefulness, as well as att...
Impact of COVID-19 on the digital divide: a rapid review
Ian Litchfield, David Shukla, Sheila Greenfield · 2021 · BMJ Open · 264 citations
Objective The increased reliance on digital technologies to deliver healthcare as a result of the COVID-19 pandemic has meant pre-existing disparities in digital access and utilisation of healthcar...
Spread, Scale-up, and Sustainability of Video Consulting in Health Care: Systematic Review and Synthesis Guided by the NASSS Framework
Hannah James, Chrysanthi Papoutsi, Joseph Wherton et al. · 2021 · Journal of Medical Internet Research · 173 citations
Background COVID-19 has thrust video consulting into the limelight, as health care practitioners worldwide shift to delivering care remotely. Evidence suggests that video consulting is acceptable, ...
How Australian Health Care Services Adapted to Telehealth During the COVID-19 Pandemic: A Survey of Telehealth Professionals
Alan D. Taylor, Liam J Caffery, Hailay Abrha Gesesew et al. · 2021 · Frontiers in Public Health · 171 citations
Background: In Australia, telehealth services were used as an alternative method of health care delivery during the COVID-19 pandemic. Through a realist analysis of a survey of health professionals...
Reading Guide
Foundational Papers
No pre-2015 foundational papers available; start with Greenhalgh et al. (2017) NASSS as core framework for theorizing barriers.
Recent Advances
James et al. (2021) on NASSS-guided video consulting synthesis; Litchfield et al. (2021) COVID digital divide; Greenhalgh et al. (2021) remote consultation ethics.
Core Methods
NASSS framework analysis; systematic reviews of acceptance theories (Harst et al., 2019); mixed-method studies of macro-meso-micro implementation (Greenhalgh et al., 2018).
How PapersFlow Helps You Research Telemedicine Barriers and Adoption Challenges
Discover & Search
Research Agent uses searchPapers and citationGraph on 'NASSS framework Greenhalgh' to map 2295-citation NASSS paper and its extensions like James et al. (2021). exaSearch queries 'telemedicine digital divide COVID' surfaces Litchfield et al. (2021); findSimilarPapers expands to Granja et al. (2018).
Analyze & Verify
Analysis Agent applies readPaperContent to Greenhalgh et al. (2017) NASSS abstract, then verifyResponse with CoVe checks claims against citations. runPythonAnalysis processes citation counts from exported CSV for trends (e.g., post-2017 NASSS papers). GRADE grading assesses evidence quality in adoption reviews like Harst et al. (2019).
Synthesize & Write
Synthesis Agent detects gaps in scale-up literature via contradiction flagging between Greenhalgh et al. (2018) micro-level findings and James et al. (2021) macro challenges. Writing Agent uses latexEditText for framework diagrams, latexSyncCitations for NASSS refs, latexCompile for policy briefs; exportMermaid visualizes barrier interactions.
Use Cases
"Extract failure rates from eHealth systematic reviews like Granja 2018"
Research Agent → searchPapers 'Granja eHealth failure factors' → Analysis Agent → readPaperContent + runPythonAnalysis (pandas on extracted tables) → CSV of success/failure stats.
"Draft LaTeX section on NASSS framework applications to telehealth"
Synthesis Agent → gap detection on Greenhalgh 2017/2021 → Writing Agent → latexEditText 'NASSS barriers' + latexSyncCitations + latexCompile → compiled PDF section with diagram.
"Find code for simulating telemedicine adoption models from papers"
Research Agent → paperExtractUrls on Harst 2019 → Code Discovery → paperFindGithubRepo → githubRepoInspect → Python simulation scripts for acceptance models.
Automated Workflows
Deep Research workflow conducts systematic review: searchPapers 'telemedicine barriers NASSS' → 50+ papers → structured report with GRADE scores on adoption evidence. DeepScan analyzes Greenhalgh et al. (2017) in 7 steps: readPaperContent → CoVe verification → Python citation trends. Theorizer generates theory on post-COVID sustainability from James et al. (2021) and Litchfield et al. (2021).
Frequently Asked Questions
What is the NASSS framework?
NASSS theorizes nonadoption, abandonment, and challenges to scale-up, spread, sustainability of health technologies across technology, organization, staff, patient domains (Greenhalgh et al., 2017).
What methods predict telemedicine acceptance?
Technology acceptance models emphasize usefulness and user needs; systematic review confirms applicability to telemedicine (Harst et al., 2019).
Key papers on telemedicine barriers?
Greenhalgh et al. (2017, 2295 citations) NASSS; Granja et al. (2018, 597 citations) eHealth success factors; Litchfield et al. (2021) digital divide.
Open problems in adoption?
Sustaining scale-up post-COVID; addressing digital divides; theory-guided implementation for mental health digital clinics (James et al., 2021; Connolly et al., 2021).
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