Understanding “Alert Fatigue” in Primary Care: Qualitative Systematic Review of General Practitioners Attitudes and Experiences of Clinical Alerts, Prompts, and Reminders

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e62763 - e62763

Published: Feb. 7, 2025

The consistency and quality of care in modern primary are supported by various clinical reminders (CRs), which include "alerts" describing the consequences certain decisions "prompts" that remind users to perform tasks promoting desirable behaviors. However, not all CRs acted upon, many disregarded general practitioners (GPs), a chronic issue commonly referred as "alert fatigue." This phenomenon has significant implications for safety care, GP burnout, broader medicolegal consequences. Research on mitigating alert fatigue optimizing use remains limited. review offers much-needed insight into attitudes toward deployment, design, overall effectiveness CRs. systematic aims synthesize current qualitative research GPs' CRs, enabling an exploration interacting influences occurrence GPs, including perceived efficacy A literature search was conducted across Health Technology Assessment database, MEDLINE, MEDLINE In-Process, Embase, CINAHL, Conference Proceedings Citation Index, PsycINFO, OpenGrey. focused mixed methods or family practice, specifically exploring experiences with All databases were searched from inception December 31, 2023. To ensure structured practicable findings, we used directed content analysis data, guided 7 domains Non-adoption, Abandonment, Scale-up, Spread, Sustainability (NASSS) framework, related Technology, Adopter attitudes, Organization. total 9 studies included, findings organized within domains. Regarding Condition Value Proposition, GPs viewed effective way maintain improve they provide. When considering attributes linked their frequency, presentation, accuracy content. Within Adopters, concerns raised about risk could diminish value experience contextual understanding. From Organization perspective, need training benefits highlighted. Finally, context Wider system Embedding Over Time, suggestions included sharing best practices CR involving design. While acknowledged when optimally, can enhance patient several emerged regarding accuracy, lack nuance. Suggestions adherence providing coherent training, enhancing incorporating more personalized PROSPERO CRD42016029418; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=29418. RR2-10.1186/s13643-017-0627-z.

Language: Английский

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Towards a more general theory of blockchain technology adoption – Investigating the role of mass media, social media and technophilia

Technology in Society, Journal Year: 2023, Volume and Issue: 73, P. 102225 - 102225

Published: March 2, 2023

Language: Английский

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Interactions with virtual therapists during motor rehabilitation in immersive virtual environments: a systematic review

Frontiers in Virtual Reality, Journal Year: 2024, Volume and Issue: 5

Published: Feb. 5, 2024

Introduction: Virtual Reality applications for rehabilitation are increasing in popularity. In traditional as well virtual rehabilitation, the guidance of an occupational therapist through physical and verbal interaction is often required. Several studies have attempted to implement a or assistant immersive environments rehabilitation. Objective: This research aims systematically review these studies, understanding therapist’s role how they represented environment, patient interact experience users. Our goal provide implementations into fully reality environments. Method: The researchers reviewed literature on therapists motor (protocol prospectively registered with PROSPERO ID: CRD42022357369). Results Conclusion: Seven were identified, findings showing that human-like avatars guide patients, requiring them mimic movements. Visual, haptic, one-direction audio feedback from was provided five studies. selected all newly developed custom-made systems, systems using same game engine. Studies carrying out user testing utilised several methods understand experience, evidencing positive attitude motivated satisfied patients. Future Research: roles needs be explored further rigorous empirical gather data experience. Considerable potential identified development therapeutic alliance environment. should reduce manual input include personalisation individualised feedback. Systematic Review Registration: [ https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=357369 ], ID [CRD42022357369].

Language: Английский

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Teaming with Artificial Intelligence to Learn and Sustain Psychotherapy Delivery Skills: Workplace, Ethical, and Research Implications

Journal of Technology in Behavioral Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Language: Английский

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Strengthening and promoting digital health practice: results from a Global Digital Health Partnership’s survey

Frontiers in Public Health, Journal Year: 2023, Volume and Issue: 11

Published: June 19, 2023

Background and objective The capacity to promote disseminate the best evidence-based practices in terms of digital health innovations technologies represents an important goal for countries governments. To support maturity across Global Digital Health Partnership (GDHP) was established 2019. mission GDHP is facilitate global collaboration knowledge-sharing design services, through administration surveys white papers. Objective scope this study critically analyze discuss results from Evidence Evaluation Work Stream’s survey, understand how governments intend address main obstacles implementation, identify their strategies a communication effective sharing international based on health. Methods This survey followed cross-sectional approach. A multiple-choice questionnaire designed gather data. Choices were extracted research publications retrieved rapid review. Results Out 29 receiving 10 returned it. On scale 1 5, eHealth systems/platforms (mean = 3.56) indicated as most tool centralized infrastructure collect information health, while primary care 4.0) represented voted item healthcare services Seven Countries out identified lack organization, skepticism clinicians, accessibility population barriers adopt resulting be items. Finally, endorsed priorities adoption data-driven approaches (6 Countries), telehealth (5 Countries). Conclusion highlighted tools implementation innovations. Identifying that would communicate value technology professionals are particularly imperative. Effective programs clinicians general addition improved literacy (both citizens) will key real future technologies.

Language: Английский

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Barriers to telemedicine adoption among rural communities in developing countries: A systematic review and proposed framework

Clinical Epidemiology and Global Health, Journal Year: 2024, Volume and Issue: 28, P. 101684 - 101684

Published: June 12, 2024

ObjectiveTelemedicine has the potential to improve healthcare access in rural areas, 56% of which do not have essential services. However, systemic barriers continue limit its adoption. This systematic review aimed identify current telemedicine adoption areas developing countries.Data SourcesA literature search using six databases (PubMed, Cochrane, Proquest, Scopus, SpringerLink, and EBSCO) was performed articles on published until May 2024. Additional studies were included through hand searching reference list checking.Study SelectionStudy selection done independently by two reviewers pre-specified inclusion exclusion criteria.Data ExtractionCritical appraisal conducted AXIS tool for cross-sectional studies, Consolidated Criteria Reporting Qualitative Studies (COREQ) checklist qualitative Mixed-Methods Appraisal Tool (MMAT) mixed-methods studies.Data SynthesisThe reporting this article follows Preferred Items Systematic Reviews Meta-Analyses (PRISMA) Statement. We 21 (eight eleven studies) from twelve Asian, African, South American countries. classified identified into five domains a novel '5P framework': product, provider, public, place, policy. Each these is sustainability.ConclusionIt crucial understand context targeted Addressing framework' conducting culturally sensitive context-specific efforts may pave way maximization areas.

Language: Английский

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Editorial: Factors influencing user engagement with digital mental health interventions

Frontiers in Digital Health, Journal Year: 2023, Volume and Issue: 5

Published: April 18, 2023

EDITORIAL article Front. Digit. Health, 18 April 2023Sec. Digital Mental Health Volume 5 - 2023 | https://doi.org/10.3389/fdgth.2023.1197301

Language: Английский

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Detecting Clinically Relevant Emotional Distress and Functional Impairment in Children and Adolescents: Protocol for an Automated Speech Analysis Algorithm Development Study

JMIR Research Protocols, Journal Year: 2023, Volume and Issue: 12, P. e46970 - e46970

Published: May 25, 2023

Even before the onset of COVID-19 pandemic, children and adolescents were experiencing a mental health crisis, partly due to lack quality services. The rate suicide for Black youth has increased by 80%. By 2025, care system will be short 225,000 therapists, further exacerbating current crisis. Therefore, it is utmost importance providers, schools, health, pediatric medical providers integrate innovation in digital identify problems proactively rapidly effective collaboration with other providers. Such approaches can help robust, reproducible, generalizable predictors biomarkers treatment response psychiatry. Among multitude innovations biomarker psychiatric diseases currently, as part macrolevel transformation, speech stands out an attractive candidate features such affordability, noninvasive, nonintrusive.The protocol aims develop speech-emotion recognition algorithms leveraging artificial intelligence/machine learning, which establish link between trauma, stress, voice types, including disrupting speech-based characteristics, detect clinically relevant emotional distress functional impairments adolescents.Informed theoretical foundations (the Theory Psychological Trauma Biomarkers Archetypal Voice Categories), we developed our methodology focus on 5 emotions: anger, happiness, fear, neutral, sadness. Participants recruited from 2 local centers that serve urban youths. Speech samples, along responses Symptom Functioning Severity Scale, Patient Health Questionnaire 9, Adverse Childhood Experiences scales, collected using Android mobile app. Our model development pipeline informed Gaussian mixture (GMM), recurrent neural network, long short-term memory.We tested public data set. GMM 128 clusters showed evenly distributed accuracy across all emotions. Using utterance-level features, achieved 79.15% overall, while frame selection 85.35%. This demonstrates robust emotion classification emotions enhances accuracy, significant scientific evaluation. Recruitment collection study initiated August 2021 are currently underway. results likely available published 2024.This contributes literature addresses need speech-focused tools adolescents. preliminary show algorithm potential improve outcomes. findings contribute broader transformation.DERR1-10.2196/46970.

Language: Английский

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Feasibility of artificial intelligence‐based measurement in psychotherapy practice: Patients' and clinicians' perspectives

Counselling and Psychotherapy Research, Journal Year: 2024, Volume and Issue: unknown

Published: July 31, 2024

Abstract Background Tracking session‐by‐session patient‐reported outcomes (e.g. alliance and clinical symptoms) has been shown to improve treatment outcomes. However, self‐report measures are cumbersome collect, completion rates inconsistent. Proof‐of‐concept machine learning research applications using psychotherapy data sets suggest that it may be possible generate fully automated predictions of symptom ratings based on behavioural markers extracted from video recordings sessions. For these artificial intelligence (AI)‐based measurements feasible, patients clinicians must comfortable with recording their sessions open deploying such AI‐based models in practice. Methods We conducted two online survey studies between December 2022 March 2023. asked 954 248 about the use usefulness (1) for routine outcome monitoring, (2) therapy (3) utilising prediction treatments. Results Patients found useful but burdensome. While both reported interest willingness embrace technology measurement‐based care, significantly more record sessions, positive views measurement feedback outcomes, compared clinicians. Conclusion Clinicians should provided practice training tools aid work before successfully implemented into

Language: Английский

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State of the Science: Evidence‐based treatments for posttraumatic stress disorder delivered via telehealth

Journal of Traumatic Stress, Journal Year: 2024, Volume and Issue: unknown

Published: June 30, 2024

Abstract Psychotherapy delivered via telehealth technology is not an artifact of the COVID‐19 pandemic. Indeed, widespread, telehealth‐delivered, evidence‐based psychotherapy preceded pandemic, as did randomized controlled noninferiority trials supporting this modality. It is, thus, difficult to predict that will be integral part daily clinical life moving forward. With respect posttraumatic stress disorder (PTSD) specifically, there a substantial number studies on feasibility, acceptability, and effectiveness treatments provided videoconferencing. In review, we delineate literature establishing strong support for remote delivery prolonged exposure (PE) cognitive processing therapy (CPT); also promising written (WET) trauma‐focused behavioral (TF‐CBT). We mention adjunctive integrative modifications better serve patients with PTSD. One such intervention, activation therapeutic (BATE), has several delivery, whereas concurrent treatment PTSD substance use disorders using PE protocol (COPE) insomnia (CBT‐I) would benefit from further research. Integrating instrumental peer into telehealth‐delivered shows promise in retaining treatment. Finally, provide ideas maximize effectiveness, explore future research directions, discuss ways advocate expansion services equity perspective.

Language: Английский

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