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Cureus Aug 2023Adolescents increasingly find it difficult to picture their lives without social media. Practitioners need to be able to assess risk, and social media may be a new... (Review)
Review
Adolescents increasingly find it difficult to picture their lives without social media. Practitioners need to be able to assess risk, and social media may be a new component to consider. Although there is limited empirical evidence to support the claim, the perception of the link between social media and mental health is heavily influenced by teenage and professional perspectives. Privacy concerns, cyberbullying, and bad effects on schooling and mental health are all risks associated with this population's usage of social media. However, ethical social media use can expand opportunities for connection and conversation, as well as boost self-esteem, promote health, and gain access to critical medical information. Despite mounting evidence of social media's negative effects on adolescent mental health, there is still a scarcity of empirical research on how teens comprehend social media, particularly as a body of wisdom, or how they might employ wider modern media discourses to express themselves. Youth use cell phones and other forms of media in large numbers, resulting in chronic sleep loss, which has a negative influence on cognitive ability, school performance, and socio-emotional functioning. According to data from several cross-sectional, longitudinal, and empirical research, smartphone and social media use among teenagers relates to an increase in mental distress, self-harming behaviors, and suicidality. Clinicians can work with young people and their families to reduce the hazards of social media and smartphone usage by using open, nonjudgmental, and developmentally appropriate tactics, including education and practical problem-solving.
PubMed: 37671234
DOI: 10.7759/cureus.42990 -
Journal of Medical Systems Feb 2024This systematic review examines the recent use of artificial intelligence, particularly machine learning, in the management of operating rooms. A total of 22 selected... (Review)
Review
This systematic review examines the recent use of artificial intelligence, particularly machine learning, in the management of operating rooms. A total of 22 selected studies from February 2019 to September 2023 are analyzed. The review emphasizes the significant impact of AI on predicting surgical case durations, optimizing post-anesthesia care unit resource allocation, and detecting surgical case cancellations. Machine learning algorithms such as XGBoost, random forest, and neural networks have demonstrated their effectiveness in improving prediction accuracy and resource utilization. However, challenges such as data access and privacy concerns are acknowledged. The review highlights the evolving nature of artificial intelligence in perioperative medicine research and the need for continued innovation to harness artificial intelligence's transformative potential for healthcare administrators, practitioners, and patients. Ultimately, artificial intelligence integration in operative room management promises to enhance healthcare efficiency and patient outcomes.
Topics: Humans; Artificial Intelligence; Operating Rooms; Neural Networks, Computer; Algorithms; Machine Learning
PubMed: 38353755
DOI: 10.1007/s10916-024-02038-2 -
Healthcare Analytics (New York, N.Y.) Nov 2023The unexpected and rapid spread of the COVID-19 pandemic has amplified the acceptance of remote healthcare systems such as telemedicine. Telemedicine effectively... (Review)
Review
The unexpected and rapid spread of the COVID-19 pandemic has amplified the acceptance of remote healthcare systems such as telemedicine. Telemedicine effectively provides remote communication, better treatment recommendation, and personalized treatment on demand. It has emerged as the possible future of medicine. From a privacy perspective, secure storage, preservation, and controlled access to health data with consent are the main challenges to the effective deployment of telemedicine. It is paramount to fully overcome these challenges to integrate the telemedicine system into healthcare. In this regard, emerging technologies such as blockchain and federated learning have enormous potential to strengthen the telemedicine system. These technologies help enhance the overall healthcare standard when applied in an integrated way. The primary aim of this study is to perform a systematic literature review of previous research on privacy-preserving methods deployed with blockchain and federated learning for telemedicine. This study provides an in-depth qualitative analysis of relevant studies based on the architecture, privacy mechanisms, and machine learning methods used for data storage, access, and analytics. The survey allows the integration of blockchain and federated learning technologies with suitable privacy techniques to design a secure, trustworthy, and accurate telemedicine model with a privacy guarantee.
PubMed: 37223223
DOI: 10.1016/j.health.2023.100192 -
BMJ Open Nov 2023To assess the current evidence on the potential of digital health interventions (DHIs) to improve adherence to oral antipsychotics among patients with schizophrenia by... (Review)
Review
OBJECTIVES
To assess the current evidence on the potential of digital health interventions (DHIs) to improve adherence to oral antipsychotics among patients with schizophrenia by assessing the methodologies, feasibility and effectiveness of DHIs as well as the perceptions of relevant stakeholders.
DESIGN
The scoping review was conducted based on the methodologies outlined by Levac and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines.
DATA SOURCES
PubMed, Embase, Web of Science, Scopus, CINAHL, PsycINFO and the Cochrane Library were searched in August 2023 to identify relevant publications from the previous decade.
ELIGIBILITY CRITERIA
Studies published in English focused on improving medication adherence among adult patients with schizophrenia or schizoaffective disorder via DHIs were selected. Protocols, editorials, comments, perspectives, reviews, correspondence and conference abstracts were excluded.
DATA EXTRACTION AND SYNTHESIS
The extracted data included general information about the study, framework, participants, features and strategies of DHIs, measurement tools for adherence used, and main findings.
RESULTS
In total, 64 studies were included in the qualitative synthesis. Features used in DHIs to improve medication adherence included phone calls, text messages, mobile apps, sensors, web-based platforms and electronic devices. Strategies included medication reminders and monitoring, providing medication-related information and suggestions, other illness management suggestions and individual support. Texting and mobile apps were commonly used as medication reminders and monitoring methods. Additionally, the use of sensors combined with other digital technologies has garnered significant attention. All the interventions were considered acceptable and feasible, and several were assessed in pilot trials. Preliminary findings suggest that DHIs could enhance medication adherence in patients with schizophrenia. However, further validation of their effectiveness is required.
CONCLUSION
DHIs are a promising approach to enhancing medication adherence among patients with schizophrenia. Future interventions should be interactive, focusing on user preference, experience and privacy.
Topics: Adult; Humans; Antipsychotic Agents; Schizophrenia; Text Messaging; Psychotic Disorders; Medication Adherence
PubMed: 37977861
DOI: 10.1136/bmjopen-2023-071984 -
Annals of Internal Medicine Jan 2024Severe maternal morbidity and mortality are worse in the United States than in all similar countries, with the greatest effect on Black women. Emerging research suggests... (Review)
Review
BACKGROUND
Severe maternal morbidity and mortality are worse in the United States than in all similar countries, with the greatest effect on Black women. Emerging research suggests that disrespectful care during childbirth contributes to this problem.
PURPOSE
To conduct a systematic review on definitions and valid measurements of respectful maternity care (RMC), its effectiveness for improving maternal and infant health outcomes for those who are pregnant and postpartum, and strategies for implementation.
DATA SOURCES
Systematic searches of Ovid Medline, CINAHL, Embase, Cochrane Central Register of Controlled Trials, PsycInfo, and SocINDEX for English-language studies (inception to July 2023).
STUDY SELECTION
Randomized controlled trials and nonrandomized studies of interventions of RMC versus usual care for effectiveness studies; additional qualitative and noncomparative validation studies for definitions and measurement studies.
DATA EXTRACTION
Dual data abstraction and quality assessment using established methods, with resolution of disagreements through consensus.
DATA SYNTHESIS
Thirty-seven studies were included across all questions, of which 1 provided insufficient evidence on the effectiveness of RMC to improve maternal outcomes and none studied RMC to improve infant outcomes. To define RMC, authors identified 12 RMC frameworks, from which 2 main concepts were identified: and frameworks. Disrespect and abuse components focused on recognizing birth mistreatment; rights-based frameworks incorporated aspects of reproductive justice, human rights, and antiracism. Five overlapping framework themes include freedom from abuse, consent, privacy, dignity, communication, safety, and justice. Twelve tools to measure RMC were validated in 24 studies on content validity, construct validity, and internal consistency, but lack of a gold standard limited evaluation of criterion validity. Three tools specific for RMC had at least 1 study demonstrating consistency internally and with an intended construct relevant to U.S. settings, but no single tool stands out as the best measure of RMC.
LIMITATIONS
No studies evaluated other health outcomes or RMC implementation strategies. The lack of definition and gold standard limit evaluation of RMC tools.
CONCLUSION
Frameworks for RMC are well described but vary in their definitions. Tools to measure RMC demonstrate consistency but lack a gold standard, requiring further evaluation before implementation in U.S. settings. Evidence is lacking on the effectiveness of implementing RMC to improve any maternal or infant health outcome.
PRIMARY FUNDING SOURCE
Agency for Healthcare Research and Quality. (PROSPERO: CRD42023394769).
Topics: Infant; Pregnancy; Female; Humans; Maternal Health Services; Respect; Obstetrics; Delivery, Obstetric; Postpartum Period; Quality of Health Care
PubMed: 38163377
DOI: 10.7326/M23-2676 -
Journal of the International AIDS... Jul 2023Pre-exposure prophylaxis (PrEP) is an important HIV prevention option. Two randomized trials have provided efficacy evidence for long-acting injectable cabotegravir... (Review)
Review
INTRODUCTION
Pre-exposure prophylaxis (PrEP) is an important HIV prevention option. Two randomized trials have provided efficacy evidence for long-acting injectable cabotegravir (CAB-LA) as PrEP. In considering CAB-LA as an additional PrEP modality for people at substantial risk of HIV, it is important to understand community response to injectable PrEP. We conducted a systematic review of values, preferences and perceptions of acceptability for injectable PrEP to inform global guidance.
METHODS
We searched nine databases and conference websites for peer-reviewed and grey literature (January 2010-September 2021). There were no restrictions on location. A two-stage review process assessed references against eligibility criteria. Data from included studies were organized by constructs from the Theoretical Framework of Acceptability.
RESULTS
We included 62 unique references. Most studies were observational, cross-sectional and qualitative. Over half of the studies were conducted in North America. Men who have sex with men were the most researched group. Most studies (57/62) examined injectable PrEP, including hypothetical injectables (55/57) or placebo products (2/57). Six studies examined CAB-LA specifically. There was overall interest in and often a preference for injectable PrEP, though there was variation within and across groups and regions. Many stakeholders indicated that injectable PrEP could help address adherence challenges associated with daily or on-demand dosing for oral PrEP and may be a better lifestyle fit for individuals seeking privacy, discretion and infrequent dosing. End-users reported concerns, including fear of needles, injection site pain and body location, logistical challenges and waning or incomplete protection.
DISCUSSION
Despite an overall preference for injectable PrEP, heterogeneity across groups and regions highlights the importance of enabling end-users to choose a PrEP modality that supports effective use. Like other products, preference for injectable PrEP may change over time and end-users may switch between prevention options. There will be a greater understanding of enacted preference as more end-users are offered anti-retroviral (ARV)-containing injectables. Future research should focus on equitable implementation, including real-time decision-making and how trained healthcare providers can support choice.
CONCLUSIONS
Given overall acceptability, injectable PrEP should be included as part of a menu of prevention options, allowing end-users to select the modality that suits their preferences, needs and lifestyle.
Topics: Male; Humans; Cross-Sectional Studies; Homosexuality, Male; Pre-Exposure Prophylaxis; Sexual and Gender Minorities; HIV Infections
PubMed: 37439057
DOI: 10.1002/jia2.26107 -
Journal of Medical Internet Research Nov 2023The COVID-19 pandemic necessitated rapid changes to health care delivery, including a shift from in-person to digitally delivered psychotherapy. While these changes... (Review)
Review
BACKGROUND
The COVID-19 pandemic necessitated rapid changes to health care delivery, including a shift from in-person to digitally delivered psychotherapy. While these changes helped ensure timely psychotherapy provision, many concerns exist, including clinical, cultural, practical, privacy, and security issues.
OBJECTIVE
This scoping review systematically mapped existing peer-reviewed research on synchronous, therapist-delivered web-based psychotherapy for individuals with a diagnosed mental illness. Data were analyzed through the lens of the Alberta Quality Matrix for Health (AQMH) to assess to what degree this literature addresses key indicators of health care quality. This analysis aided in the identification and organization of knowledge gaps with regard to web-based psychotherapies, highlighting potential disparities between previously prioritized dimensions of care and those requiring further attention.
METHODS
This review adhered to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. We included peer-reviewed primary research studies in the English language investigating synchronous, therapist-delivered remote psychotherapy delivered to adults (aged 18 years and older) with a Diagnostic and Statistical Manual of Mental Disorders or International Statistical Classification of Diseases diagnosed mental illness. All other citations were excluded. Relevant studies were identified through MEDLINE, APA PsycINFO, Embase (OVID), Web of Science: Core Collection (Clarivate), Cochrane Library (Wiley), and Scopus (Elsevier) databases. Databases were searched on March 18, 2021. For every publication that was taken into consideration, the data were charted independently by 2 reviewers, and in the event of a discrepancy, the principal investigator validated the choice of either extractor. Results were thematically described according to the 6 AQMH dimensions: acceptability, accessibility, appropriateness, effectiveness, efficiency, and safety.
RESULTS
From 13,209 publications, 48 articles were included, largely from North American studies. Most studies measured treatment effectiveness (n=48, 100%) and acceptability (n=29, 60%) health quality dimensions. Over 80% (40/48) of studies investigated either a cognitive or exposure intervention for either posttraumatic stress disorder or a mood or anxiety disorder, generally indicating comparable results to in-person therapy. Safety (n=5, 10%) was measured in fewer studies, while treatment accessibility, appropriateness, and efficiency were not explicitly measured in any study, although these dimensions were mentioned as a future direction, hypothesis, or potential outcome.
CONCLUSIONS
In relation to web-based therapist-delivered psychotherapies for those with a diagnosed mental illness, important aspects of health care quality (accessibility, appropriateness, efficiency, and safety) have received little scientific examination, underscoring a need to address these gaps. There are also significant issues related to the generalizability of this literature, including the underrepresentation of many geographic regions, cultures, populations, clinical contexts, and psychotherapy modalities. Qualitative research in underrepresented populations and settings may uncover important patient and contextual factors important for the future implementation of quality web-based psychotherapy.
Topics: Adult; Humans; Pandemics; Psychotherapy; Anxiety Disorders; Stress Disorders, Post-Traumatic; Internet
PubMed: 37921863
DOI: 10.2196/40710 -
Journal of Clinical Tuberculosis and... May 2024Virtual modes of tuberculosis (TB) treatment monitoring have become increasingly relevant in the last decade with the advancements and increasing accessibility of... (Review)
Review
Virtual modes of tuberculosis (TB) treatment monitoring have become increasingly relevant in the last decade with the advancements and increasing accessibility of technology. We conducted a systematic review comparing people with TB's perceptions of standard directly observed therapy (DOT) versus video directly observed therapy (vDOT). Studies were obtained from MEDLINE and EMBASE between January 1, 1974 and February 4, 2021. Of the 22 articles reviewed, a qualitative thematic analysis was performed, drawing on common themes from people with TB's perception of their care. 21 studies showed relative preference for and acceptance of vDOT over DOT. Factors that increased acceptability toward vDOT included cost and time saving, personal sense of empowerment, convenience, and privacy. Studies also showed greater adherence to treatment and subsequent improved health outcomes. vDOT has the potential to be an empowering, person-centered treatment modality for TB therapy. The role of social determinants such as place of residence, access to technology, and patient-provider communication requires further exploration.
PubMed: 38380432
DOI: 10.1016/j.jctube.2023.100406 -
Journal of Medical Internet Research Dec 2023Chatbots have become ubiquitous in our daily lives, enabling natural language conversations with users through various modes of communication. Chatbots have the... (Review)
Review
BACKGROUND
Chatbots have become ubiquitous in our daily lives, enabling natural language conversations with users through various modes of communication. Chatbots have the potential to play a significant role in promoting health and well-being. As the number of studies and available products related to chatbots continues to rise, there is a critical need to assess product features to enhance the design of chatbots that effectively promote health and behavioral change.
OBJECTIVE
This scoping review aims to provide a comprehensive assessment of the current state of health-related chatbots, including the chatbots' characteristics and features, user backgrounds, communication models, relational building capacity, personalization, interaction, responses to suicidal thoughts, and users' in-app experiences during chatbot use. Through this analysis, we seek to identify gaps in the current research, guide future directions, and enhance the design of health-focused chatbots.
METHODS
Following the scoping review methodology by Arksey and O'Malley and guided by the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist, this study used a two-pronged approach to identify relevant chatbots: (1) searching the iOS and Android App Stores and (2) reviewing scientific literature through a search strategy designed by a librarian. Overall, 36 chatbots were selected based on predefined criteria from both sources. These chatbots were systematically evaluated using a comprehensive framework developed for this study, including chatbot characteristics, user backgrounds, building relational capacity, personalization, interaction models, responses to critical situations, and user experiences. Ten coauthors were responsible for downloading and testing the chatbots, coding their features, and evaluating their performance in simulated conversations. The testing of all chatbot apps was limited to their free-to-use features.
RESULTS
This review provides an overview of the diversity of health-related chatbots, encompassing categories such as mental health support, physical activity promotion, and behavior change interventions. Chatbots use text, animations, speech, images, and emojis for communication. The findings highlight variations in conversational capabilities, including empathy, humor, and personalization. Notably, concerns regarding safety, particularly in addressing suicidal thoughts, were evident. Approximately 44% (16/36) of the chatbots effectively addressed suicidal thoughts. User experiences and behavioral outcomes demonstrated the potential of chatbots in health interventions, but evidence remains limited.
CONCLUSIONS
This scoping review underscores the significance of chatbots in health-related applications and offers insights into their features, functionalities, and user experiences. This study contributes to advancing the understanding of chatbots' role in digital health interventions, thus paving the way for more effective and user-centric health promotion strategies. This study informs future research directions, emphasizing the need for rigorous randomized control trials, standardized evaluation metrics, and user-centered design to unlock the full potential of chatbots in enhancing health and well-being. Future research should focus on addressing limitations, exploring real-world user experiences, and implementing robust data security and privacy measures.
Topics: Humans; Digital Health; Health Promotion; Communication; Benchmarking; Checklist; Randomized Controlled Trials as Topic
PubMed: 38113097
DOI: 10.2196/47217 -
Health Promotion Perspectives 2023ChatGPT is an artificial intelligence based tool developed by OpenAI (California, USA). This systematic review examines the potential of ChatGPT in patient care and its...
BACKGROUND
ChatGPT is an artificial intelligence based tool developed by OpenAI (California, USA). This systematic review examines the potential of ChatGPT in patient care and its role in medical research.
METHODS
The systematic review was done according to the PRISMA guidelines. Embase, Scopus, PubMed and Google Scholar data bases were searched. We also searched preprint data bases. Our search was aimed to identify all kinds of publications, without any restrictions, on ChatGPT and its application in medical research, medical publishing and patient care. We used search term "ChatGPT". We reviewed all kinds of publications including original articles, reviews, editorial/ commentaries, and even letter to the editor. Each selected records were analysed using ChatGPT and responses generated were compiled in a table. The word table was transformed in to a PDF and was further analysed using ChatPDF.
RESULTS
We reviewed full texts of 118 articles. ChatGPT can assist with patient enquiries, note writing, decision-making, trial enrolment, data management, decision support, research support, and patient education. But the solutions it offers are usually insufficient and contradictory, raising questions about their originality, privacy, correctness, bias, and legality. Due to its lack of human-like qualities, ChatGPT's legitimacy as an author is questioned when used for academic writing. ChatGPT generated contents have concerns with bias and possible plagiarism.
CONCLUSION
Although it can help with patient treatment and research, there are issues with accuracy, authorship, and bias. ChatGPT can serve as a "clinical assistant" and be a help in research and scholarly writing.
PubMed: 37808939
DOI: 10.34172/hpp.2023.22