#Qualitativestudy hashtag - Bluesky - nopzon.com

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#Qualitativestudy

@eicker.bsky.social

4 weeks ago

#Anthropic conducted a large-scale #qualitativestudy with 80,508 #Claude #users worldwide to understand their hopes and concerns regarding #AI. The study revealed that #Claudeusers desire AI to enhance their quality of life by automating #mundanetasks, freeing up time for #personalrelationships,…

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International Journal of Community-Based Nursing and Midwifery

@ijcbnm.bsky.social

4 months ago

Experiences of Mothers with Substance Use in the Care of Children in the First Year of Life: A Qualitative Content Analysis Background: Maternal substance use is a significant and enduring issue. Following childbirth, these mothers may encounter challenges in managing problems such as feeding intolerance, inconsolable cryi...

Experiences of Mothers with Substance Use in the Care of Children in the First Year of Life: A Qualitative Content Analysis
doi.org/10.30476/ijc...
#InfantCare #Mothers #Qualitativestudy #Substanceuse #IJCBNM

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@arxivlens.bsky.social

9 months ago

Exploring the emerging concept of precision rehabilitation: a qualitative study
Dube, E., Kairy, D. et al.
Paper
Details
#PrecisionRehab #QualitativeStudy #DubeKairyResearch

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Mac Keith Press

@mackeithpress.bsky.social

10 months ago

Experiences of caregivers of children with severe self‐injurious behavior: An interpretive, descriptive study Self-injurious behaviour (SIB) is relatively common in children with autism spectrum disorder (ASD) with an estimated prevalence of up to 42%. In those most severely affected there is a risk of life-...

#QualitativeStudy of experiences of caregivers of #autistic children with self-injurious behaviour highlights pervasive impact beyond the child, stigma, and lack of accessible resources #autism
buff.ly/Q4AYNu9

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JMIR Publications

@jmirpub.bsky.social

10 months ago

Perceptions of Executive Decision Makers on Using #SocialMedia #hcsm #SoMe in Effective Health Communication: #QualitativeStudy #research Background: The burgeoning rise in #SocialMedia #hcsm #SoMe use has revolutionized information dissemination, rendering #SocialMedia #hcsm #SoMe a vital tool for promoting health campaigns and enhancing 2-way health communication between senders and users. Health planners and #Policy makers consider #SocialMedia #hcsm #SoMe platforms (SMPs) vital for transferring useful health information to the public. However, there are important concerns about the decision makers’ perceptions of the evolving role of #SocialMedia #hcsm #SoMe in health promotion and education campaigns. Objective: This #QualitativeStudy #research explored how decision makers perceive the role of #SocialMedia #hcsm #SoMe in health promotion and education. We aimed to shed light on strategic efficacy, real-world challenges, and valuable prospects of using #SocialMedia #hcsm #SoMe for health communication. Methods: We adopted a qualitative #Research method involving in-depth, semistructured, face-to-face interviews. We included 13 participants from government and private #HealthCare sectors in the Al-Qassim region of Saudi Arabia, who were key players and decision makers in #HealthCare programs and reforms. Data were recorded, transcribed verbatim, and analyzed using thematic analysis to identify key themes and patterns. Results: Five main themes were identified: (1) use of #SocialMedia #hcsm #SoMe (frequency, type of content, target audience, purpose of communication), (2) perceptions of decision makers (how #SocialMedia #hcsm #SoMe influences #PublicHealth behavior), (3) benefits, (4) challenges, and (5) implications for future use. Participants recognized the positive role of SMPs in spreading health information, particularly in health promotion and awareness campaigns. Communication emerged as a key concept, and WhatsApp, X (#Twitter), and Facebook were recognized as major platforms for #DigitalHealth literacy. The participants used these applications extensively for communication with colleagues, ##Patients, and the public, intending discussion, information exchange, and health promotion campaigns. Content inaccuracy and reliability were identified as major challenges. Furthermore, misinformation and social inequalities were identified as barriers to effective communication. Participants suggested that #SocialMedia #hcsm #SoMe influencers play a more effective role in information dissemination than the #HealthCare staff. Far-reaching audiences, visually appealing and engaging content using videos and graphics, and assessing campaign effectiveness using metrics, such as views, shares, likes, and comments, were recognized as major benefits of #SocialMedia #hcsm #SoMe. Participants stressed the promising role of #SocialMedia #hcsm #SoMe in the future as technological advancements in #eHealth could revolutionize #HealthCare. Conclusions: SMPs play a vital role in sharing information about health-related initiatives. This #Research highlights the complexities and potential challenges of using #SocialMedia #hcsm #SoMe for health promotion in Saudi Arabia. It emphasizes the need to develop strategies to combat misinformation, address #Privacy and confidentiality concerns, and ensure compliance with legal and ethical standards. Encouraging communication among key stakeholders, including health promotion experts, government organizations, #SocialMedia #hcsm #SoMe companies, and the general public, can help establish effective guidelines and protocols to overcome the challenges.

New in JMIR: Perceptions of Executive Decision Makers on Using #SocialMedia #hcsm #SoMe in Effective Health Communication: #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

11 months ago

##Patients’ Perceptions of artificial intelligence (#AI) Acceptance, Challenges, and Use in ##Medical Care: #QualitativeStudy #research Background: artificial intelligence (#AI) (AI) is increasingly used in ##Medical care, particularly in the areas of image recognition and processing. While its practical use in other areas is still limited, an understanding of ##Patients’ needs is essential for the practical and sustainable implementation of AI, which could further acceptance of new innovations. Objective: The objective of this #Study was to explore ##Patients’ perceptions toward acceptance, challenges of implementation, and potential applications of AI in ##Medical care. Methods: The #Study used a qualitative #Research design. To capture a broad range of ##Patient perspectives, we conducted semistructured focus groups (FGs). As a stimulus for the FGs and as an introduction to the topic, we presented a video defining AI and showing 3 potential AI applications in #HealthCare. Participants were recruited from different locations in the regions of Halle (Saale) and Erlangen, Germany; all but one group were from out##Patient settings. We analyzed the data using a content analysis approach. Results: A total of 35 ##Patients (13 female and 22 male; age: range 23-92, median 50 years) participated in 6 focus groups. They highlighted that AI acceptance in ##Medical care could be improved through user-friendly applications, clear instructions, feedback mechanisms, and a ##Patient-centered approach. Perceived key barriers included data protection concerns, lack of human oversight, and profit-driven motives. Perceived challenges and requirements for AI implementation involved compatibility, training of end users, environmental sustainability, and adherence to quality standards. Potential AI application areas identified were diagnostics, image and data processing, and administrative tasks, though participants stressed that AI should remain a support tool, not an autonomous system. #Psychology was an area where its use was opposed due to the need for human interaction. Conclusions: ##Patients were generally open to the use of AI in ##Medical care as a support tool rather than as an independent decision-making system. Acceptance and successful use of AI in ##Medical care could be achieved if it is easy to use, adapted to individual characteristics of the users, and accessible to everyone, with the primary aim of enhancing ##Patient well-being. AI in #HealthCare requires a regulatory framework, quality standards, and monitoring to ensure socially fair and environmentally sustainable development. However, the successful implementation of AI in ##Medical practice depends on overcoming the mentioned challenges and addressing user needs.

New in JMIR: ##Patients’ Perceptions of artificial intelligence (#AI) Acceptance, Challenges, and Use in ##Medical Care: #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

11 months ago

Parents’ Motivations for Calling an Out-of-Hours Helpline: #QualitativeStudy #research Background: Young children often get sick, and although they usually do not need treatment, it can be distressing for parents and lead to a high rate of urgent #HealthCare use. As the demand for out-of-hours services grows, understanding parents’ concerns and needs when caring for an ill child is crucial for designing interventions that support informed health-seeking decisions. Objective: This #Study aimed to investigate why parents contacted a ##Medical Helpline, their expectations regarding the call, and how their situation changed following #Telephone triage. Methods: Parents who contacted an out-of-hours ##Medical Helpline in Denmark participated in semistructured interviews that were analyzed using Braun and Clarke’s 6-step approach to thematic analysis. Results: A total of 39 interviews were conducted. Our analysis led to three key themes: (1) parental uncertainty in decision-making: caring for an ill child was associated with stress and uncertainty. Parents lacked the tools to differentiate between acceptable symptoms and signs of severe illness, resulting in catastrophic thinking; (2) validation: parents contacted the ##Medical helpline to validate their assessment and share responsibility with a #HealthCare professional; they experienced a conflict between responsible #HealthCare usage and the need for reassurance; and (3) feeling safe at home: when the #HealthCare professional demonstrated competence, recognized parents’ emotions, and dedicated time to explain the symptoms, parents felt empowered to manage their child at home through #Telephone consultation. Conclusions: Uncertainty in assessing a sick child’s symptoms can lead parents to seek reassurance and validation by contacting a ##Medical helpline. #Telephone consultations often enable parents to manage their children at home. Interventions that help parents distinguish between mild and severe symptoms, and accept frequent illnesses as a normal part of childhood, could reduce stress and reliance on #HealthCare services. Trial Registration:

New in JMIR: Parents’ Motivations for Calling an Out-of-Hours Helpline: #QualitativeStudy #research

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Journal of Advanced Nursing

@jadvnursing.bsky.social

11 months ago

New #QualitativeStudy "Evaluating the Implementation of Strategies to Improve Evidence-Based Surgical Care: A Focus Group Study" Karolina Härle, Carina Wennerholm, Jenny Drott 🔗

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JMIR Publications

@jmirpub.bsky.social

11 months ago

Harnessing an artificial intelligence (#AI)–Based Large Language Model With Personal Health Record Capability for Personalized Information Support in Post#Surgery Myocardial Infarction: Descriptive #QualitativeStudy #research Background: Myocardial infarction (MI) remains a leading cause of morbidity and mortality worldwide. Although postsurgical cardiac interventions have improved survival rates, effective management during recovery remains challenging. Traditional informational support systems often provide generic guidance that does not account for individualized ##Medical histories or #Psychosocial factors. Recently, artificial intelligence (#AI) (AI)–based large language models (LLM) tools have emerged as promising interventions to deliver personalized health information to post-MI ##Patients. Objective: We aim to explore the user experiences and perceptions of an AI-based LLM tool (iflyhealth) with integrated personal health record functionality in post-MI care, assess how ##Patients and their family members engaged with the tool during recovery, identify the perceived benefits and challenges of using the technology, and to understand the factors promoting or hindering continued use. Methods: A purposive sample of 20 participants (12 users and 8 nonusers) who underwent MI #Surgery within the previous 6 months was recruited between July and August 2024. Data were collected through semistructured, face-to-face interviews conducted in a private setting, using an interview guide to address participants’ first impressions, usage patterns, and reasons for adoption or nonadoption of the iflyhealth #app. The interviews were audio-recorded, transcribed verbatim, and analyzed using Colaizzi method. Results: Four key themes revealed included: (1) participants’ experiences varied based on #Digital literacy, prior exposure to health technologies, and individual recovery needs; (2) users appreciated the #app’s enhanced accessibility to professional health information, personalized advice tailored to their clinical conditions, and the tool’s responsiveness to health status changes; (3) challenges such as difficulties with #Digital literacy, #Usability #UX concerns, and data #Privacy issues were significant barriers; and (4) nonusers and those who discontinued use primarily cited complexity of the interface and perceived limited relevance of the advice as major deterrents. Conclusions: iflyhealth, an LLM AI #app with a built-in personal health record functionality, shows significant potential in assisting post-MI ##Patients. The main benefits reported by iflyhealth users include improved access to personalized health information and an enhanced ability to respond to changing health conditions. However, challenges such as #Digital literacy, #Usability #UX, and #Privacy and security concerns persist. Overcoming the barriers may further enhance the use of the iflyhealth #app, which can play an important role in ##Patient-centered, personalized post-MI management. Trial Registration:

New in JMIR: Harnessing an artificial intelligence (#AI)–Based Large Language Model With Personal Health Record Capability for Personalized Information Support in Post#Surgery Myocardial Infarction: Descriptive #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

11 months ago

Real-World Mobile Health Implementation and ##Patient Safety: Multicenter #QualitativeStudy #research Background: Mobile health (#mHealth) is increasingly being used in contemporary #HealthCare provision owing to its portability, accessibility, ability to facilitate communication, improved interprofessional collaboration, and benefits for health outcomes. However, there is limited discourse on ##Patient safety in real-world #mHealth implementation, especially as care settings extend beyond traditional center-based technology usage to home-based care. Objective: This #Study aimed to explore #HealthCare professionals’ perspectives on the safety aspects of #mHealth integration in real-world service provision, focusing on Hong Kong Special Administrative Region (SAR) and Wuhan city in mainland China. In Hong Kong SAR, real-world #m#HealthCare provision is largely managed by the #Hospital Authority, which has released various mobile apps for home-based care, such as Stoma Care, Hip Fracture, and HA Go. In contrast, #m#HealthCare provision in Wuhan is institutionally directed, with individual #Hospitals or departments using consultation apps, WeChat mini-programs, and the WeChat Official Accounts Platform (a subapp within the WeChat ecosystem). Methods: A multicenter #QualitativeStudy #research design was used. A total of 27 participants, including 22 nurses and 5 #Physicians, from 2 different #HealthCare systems were interviewed individually. Thematic analysis was used to analyze the data. Results: The mean age of the participants was 32.19 (SD 3.74) years, and the mean working experience was 8.04 (SD 4.05) years. Most participants were female (20/27, 74%). Nearly half of the participants had a bachelor’s degree (13/27, 48%), some had a master’s degree (9/27, 33%), and few had a diploma degree (3/27, 11%) or a #Doctoral degree (2/27, 7%). Four themes emerged from the data analysis. Considering the current uncertainties surrounding #mHealth implementation, participants emphasized “liability” concerns when discussing ##Patient safety. They emphasized the need for “change management,” which includes appropriate referral processes, adequate resources and funding, informed #mHealth usage, and efficient working processes. They cautioned about the risks in providing #mHealth information without ensuring understanding, appreciated the current regulations available, and identified additional regulations that should be considered to ensure information security. Conclusions: As #HealthCare systems increasingly adopt #mHealth solutions globally to enhance both ##Patient care and operational efficiency, it becomes crucial to understand the implications for ##Patient safety in these new care models. #HealthCare professionals recognized the importance of ##Patient safety in making #mHealth usage reliable and sustainable. The promotion of #mHealth should be accompanied by the standardization of #mHealth services with institutional, #HealthCare system, and #Policy-level support. This includes fostering #mHealth acceptance among #HealthCare professionals to encourage appropriate referrals, accommodate changes, ensure ##Patient comprehension, and proactively identify and address threats to information security.

New in JMIR: Real-World Mobile Health Implementation and ##Patient Safety: Multicenter #QualitativeStudy #research

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Journal of Advanced Nursing

@jadvnursing.bsky.social

11 months ago

New #QualitativeStudy "Older Adults' Perspectives on Adopting Smart Home Technology for ‘Proactive Health’: A Qualitative Study" Yulong Wang, Mei Li, Nana Chen
🔗

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JMIR Publications

@jmirpub.bsky.social

11 months ago

Evaluating ChatGPT in Qualitative Thematic Analysis With Human #Researchers in the Japanese Clinical Context and Its Cultural Interpretation Challenges: Comparative #QualitativeStudy #research Background: Qualitative #Research is crucial for understanding the values and beliefs underlying individual experiences, emotions, and behaviors, particularly in social sciences and #HealthCare. Traditionally reliant on manual analysis by experienced #Researchers, this methodology requires significant time and effort. The advent of artificial intelligence (#AI) (AI) technology, especially large language models such as ChatGPT (OpenAI), holds promise for enhancing qualitative data analysis. However, existing studies have predominantly focused on AI’s application to English-language datasets, leaving its applicability to non-English languages, particularly structurally and contextually complex languages such as Japanese, insufficiently explored. Objective: This #Study aims to evaluate the feasibility, strengths, and limitations of ChatGPT-4 in analyzing qualitative Japanese interview data by directly comparing its performance with that of experienced human #Researchers. Methods: A comparative #QualitativeStudy #research was conducted to assess the performance of ChatGPT-4 and human #Researchers in analyzing transcribed Japanese semistructured interviews. The analysis focused on thematic agreement rates, interpretative depth, and ChatGPT’s ability to process culturally nuanced concepts, particularly for descriptive and socio-culturally embedded themes. This #Study analyzed transcripts from 30 semistructured interviews conducted between February and March 2024 in an urban community #Hospital (#Hospital A) and a rural university #Hospital (#Hospital B) in Japan. Interviews centered on the theme of “sacred moments” and involved #HealthCare providers and ##Patients. Transcripts were digitized using NVivo (version 14; Lumivero) and analyzed using ChatGPT-4 with iterative prompts for thematic analysis. The results were compared with a reflexive thematic analysis performed by human #Researchers. Furthermore, to assess the adaptability and consistency of ChatGPT in qualitative analysis, Charmaz’s grounded theory and Pope’s five-step framework approach were applied. Results: ChatGPT-4 demonstrated high thematic agreement rates (>80%) with human #Researchers for descriptive themes such as “personal experience of a sacred moment” and “building relationships.” However, its performance declined for themes requiring deeper cultural and emotional interpretation, such as “difficult to answer, no experience of sacred moments” and “fate.” For these themes, agreement rates were approximately 30%, revealing significant limitations in ChatGPT’s ability to process context-dependent linguistic structures and implicit emotional expressions in Japanese. Conclusions: ChatGPT-4 demonstrates potential as an auxiliary tool in qualitative #Research, particularly for efficiently identifying descriptive themes within Japanese-language datasets. However, its limited capacity to interpret cultural and emotional nuances highlights the continued necessity of human expertise in qualitative analysis. These findings emphasize the complementary role of AI-assisted qualitative #Research and underscore the importance of further advancements in AI models tailored to non-English linguistic and cultural contexts. Future #Research should explore strategies to enhance AI’s interpretability, expand multilingual training datasets, and assess the applicability of emerging AI models in diverse cultural settings. In addition, ethical and legal considerations in AI-driven qualitative analysis require continued scrutiny.

New in JMIR: Evaluating ChatGPT in Qualitative Thematic Analysis With Human #Researchers in the Japanese Clinical Context and Its Cultural Interpretation Challenges: Comparative #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Optimization of Internet-Delivered Cognitive Behavioral Therapy for Canadian Leaders Within Public Safety: #QualitativeStudy #research Background: Canadian public safety personnel (PSP) report high rates of #MentalHealth concerns and barriers to treatment. PSPNET is a clinical #Research unit that offers internet-delivered cognitive behavioral therapy (ICBT) that is free, confidential, and developed with and for PSP. Treatment outcomes are promising with clinically significant symptom improvement (eg, #Anxiety, #Depression, and posttraumatic stress) and favorable treatment satisfaction. While these results are promising, #Research has yet to explore ways to optimize therapist-guided ICBT for leaders within public safety. Optimizing ICBT for leaders is particularly important given their widespread organizational impact. Objective: This #Study aims to investigate (1) the perceived #MentalHealth stressors of Canadian leaders within public safety, (2) the degree to which leaders perceived existing therapist-guided ICBT courses tailored for PSP (ie, PSP Wellbeing Course and PSP PTSD Course) as suitable for their needs, and (3) ways to further optimize therapist-guided ICBT for public safety leaders. Methods: This #Study included 10 clients who self-identified as being in a supervisory or leadership position within their public safety organization and completed either the therapist-guided PSP Wellbeing Course or PSP PTSD Course. We used descriptive statistics to analyze demographics, #MentalHealth symptoms, treatment engagement, and treatment satisfaction. We also used a reflexive thematic analysis of semistructured interview transcripts to assess leaders’ course perceptions and feedback. Results: Canadian leaders within public safety reported occupational and nonoccupational stressors and enrolled in ICBT to support their own or colleagues’ #MentalHealth. Most clients enrolled in the PSP Wellbeing Course, accessed 4 of 5 lessons (n=7, 70%), engaged with therapist support (n=7, 70%), and identified as employed (n=8, 80%), White (n=8, 80%), and men (n=7, 70%) with an average age of 45 years. At pretreatment, 80% of clients endorsed clinically significant symptoms of one or more disorders; most often #Depression (n=7, 70%) and anger (n=6, 60%). Clients reported favorable attitudes toward the ICBT courses with most reporting that they were satisfied with the course (n=9, 90%). Feedback to further optimize ICBT content for leaders included the development of a leader case story (n=6, 60%) and new resources to help leaders apply skills learned in ICBT within the context of their leadership roles (n=4, 40%). Leaders also recommended optimizing ICBT delivery by improving the platform technology and incorporating more multimedia. Conclusions: Canadian leaders within public safety perceived therapist-guided ICBT developed with and for PSP as a suitable treatment option for their needs and identified ways to further optimize its content and delivery. Future #Research should investigate the impacts of these efforts and explore optimizing ICBT for other groups of clients. #ClinicalTrial: ClinicalTrials.gov NCT04127032, https://www.clinicaltrials.gov/#Study/NCT04127032; ClinicalTrials.gov NCT04335487, https://clinicaltrials.gov/#Study/NCT04335487

New in JMIR: Optimization of Internet-Delivered Cognitive Behavioral Therapy for Canadian Leaders Within Public Safety: #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Factors Influencing Information Distortion in Electronic Nursing Records: #QualitativeStudy #research Background: Information distortion in nursing records poses significant risks to ##Patient safety and impedes the enhancement of care quality. The introduction of information technologies, such as decision support systems and predictive models, expands the possibilities for using health data but also complicates the landscape of information distortion. Only by identifying influencing factors about information distortion can care quality and ##Patient safety be ensured. Objective: This #Study aims to explore the factors influencing information distortion in electronic nursing records (ENRs) within the context of China’s #HealthCare system and provide appropriate recommendations to address these distortions. Methods: This #QualitativeStudy #research used semistructured interviews conducted with 14 nurses from a Class-A tertiary #Hospital. Participants were primarily asked about their experiences with and observations of information distortion in clinical practice, as well as potential influencing factors and corresponding countermeasures. Data were analyzed using inductive content analysis, which involved initial preparation, line-by-line coding, the creation of categories, and abstraction. Results: The analysis identified 4 categories and 10 subcategories: (1) nurse-related factors—skills, awareness, and work habits; (2) ##Patient-related factors—willingness and ability; (3) operational factors—work characteristics and system deficiencies; and (4) organizational factors—management system, organizational climate, and team collaboration. Conclusions: Although some factors influencing information distortion in ENRs are similar to those observed in paper-based records, others are unique to the #Digital age. As #HealthCare continues to embrace #Digitalization, it is crucial to develop and implement strategies to mitigate information distortion. Regular training and education programs, robust systems and mechanisms, and optimized human resources and organizational practices are strongly recommended.

New in JMIR: Factors Influencing Information Distortion in Electronic Nursing Records: #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Adolescent Self-Reflection Process Through Self-Recording on Multiple Health Metrics: #QualitativeStudy #research Background: Self-recording is an effective behavior change technology that has long been used in diverse health contexts. Recent technological advancements have broadened its applications. While previous studies have explored its role and benefits in enhancing self-awareness and informed decision-making, relatively little attention has been given to its potential to address the multidimensional nature of health with various health metrics. Objective: This #Study investigates the process of self-recording in adolescent health, recognizing the connections between lifestyle behaviors and #MentalHealth. Specifically, we aim to incorporate both behavioral and emotional health metrics into the self-recording process. Grounded in self-regulation theory, we explore how adolescents record lifestyle behaviors and emotions, and how they inform and implement health management strategies. Methods: We conducted a #QualitativeStudy #research using the grounded theory methodology. Data were collected through individual semistructured interviews with 17 adolescents, who recorded their emotions and behaviors over 4 weeks using a prototype application. Analysis followed iterative phases of coding, constant comparison, and theme saturation. This process revealed how adolescents engage in self-recording for behaviors and emotions, as well as their failures and potential system support strategies. We further examined the relevance of the identified themes to theoretical constructs in self-regulation theory. Results: Under self-regulation theory, we gained insights into how adolescents manage their health through self-recording. The findings suggested variability in the self-recording process, in relation to specific health metrics of lifestyle behaviors and emotions. Adolescents focused on evaluating behaviors for management purposes while exploring the causes underlying emotional experiences. Throughout the health management, which involved modifying behavior or distancing from triggering factors, they monitored progress and outcomes, demonstrating a self-experimental approach. Uncertainty emerged as a barrier throughout the self-regulation process, suggesting that self-recording systems for adolescents should prioritize strategies to address these uncertainties. In addition, the self-recording system demonstrated interventional effects in aiding future planning and fostering a sense of relatedness among users. Conclusions: This #Study offers a theoretical framework for adolescents’ self-recording process on diverse health metrics. By integrating self-regulation theory, we suggest a stepwise process from recording lifestyle behaviors and emotions to health management behaviors. Through exploring potential features and health-supportive effects, our findings contribute to the development of #Digital self-recording systems that address various health metrics in adolescent health.

New in JMIR: Adolescent Self-Reflection Process Through Self-Recording on Multiple Health Metrics: #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Identification and Categorization of the Distinct Purposes Underpinning the Use of #Digital#HealthCare Self-Monitoring: #QualitativeStudy #research of Stakeholders in the #HealthCare Ecosystem Background: #Digital#HealthCare self-monitoring has gained prominence as a tool to address various challenges in #HealthCare, including ##Patient autonomy, data-informed decision-making, and organizational improvements. However, integrating self-monitoring solutions across a diverse ecosystem of stakeholders—##Patients, #HealthCare providers, #Policy makers, and industry—can be complicated by differing priorities and needs. Objective: This #Study aimed to identify and categorize the distinct purposes underpinning the use of #Digital#HealthCare self-monitoring. By mapping these purposes, the #Research seeks to clarify how technology design and implementation can be better aligned with stakeholder expectations, thereby enhancing adoption and impact. Methods: A qualitative design was used, drawing on 31 in-depth, semistructured interviews conducted with stakeholders in the Swedish #HealthCare ecosystem. Participants included ##Patients, advocacy groups, #HealthCare professionals, #Policy makers, #Pharmaceutical representatives, and technology developers. Data were analyzed thematically using an inductive coding approach supported by NVivo 12 (Lumivero). Emerging themes were refined through iterative discussion among the #Research team and validated by presentation to #HealthCare practitioners. Results: A total of 8 distinct purposes of #Digital#HealthCare self-monitoring emerged: (1) emancipate (enhance ##Patient autonomy), (2) learn (understand health behaviors), (3) improve (enhance ##Patient health), (4) engage (bolster ##Patient involvement), (5) control (manage adherence and symptoms), (6) evaluate (assess health parameters), (7) innovate (advance interventions and processes), and (8) generate (drive new initiatives). These purposes form three categories of value creation: (1) improving the ##Patient-provider link, (2) leveraging big data analytics for knowledge creation, and (3) using #Digital infrastructure to develop new care processes. Conclusions: Our findings demonstrate that #Digital#HealthCare self-monitoring serves multifaceted aims, ranging from individual ##Patient empowerment to ecosystem-wide innovation. Designing and implementing these tools with an explicit understanding of all stakeholders’ “why” can help address potential conflicts (eg, balancing ##Patient autonomy with clinical control) and facilitate more holistic adoption. Ultimately, this #Study underscores the importance of clear, purpose-driven approaches to promote better health outcomes, knowledge generation, and care process improvements.

New in JMIR: Identification and Categorization of the Distinct Purposes Underpinning the Use of #Digital #HealthCare Self-Monitoring: #QualitativeStudy #research of Stakeholders in the #HealthCare Ecosystem

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Adoption of Large Language Model AI Tools in Everyday Tasks: Multisite Cross-Sectional #QualitativeStudy #research of Chinese #Hospital Administrators Background: Large language model (LLM) artificial intelligence (#AI) (AI) tools have the potential to streamline #HealthCare administration by enhancing efficiency in document drafting, resource allocation, and communication tasks. Despite this potential, the adoption of such tools among #Hospital administrators remains understudied, particularly at the individual level. Objective: This #Study aims to explore factors influencing the adoption and use of LLM AI tools among #Hospital administrators in China, focusing on enablers, barriers, and practical applications in daily administrative tasks. Methods: A multicenter, cross-sectional, descriptive qualitative design was used. Data were collected through semistructured face-to-face interviews with 31 #Hospital administrators across 3 tertiary #Hospitals in Beijing, Shenzhen, and Chengdu from June 2024 to August 2024. The Colaizzi method was used for thematic analysis to identify patterns in participants’ experiences and perspectives. Results: Adoption of LLM AI tools was generally low, with significant site-specific variations. Participants with higher technological familiarity and positive early experiences reported more frequent use, while barriers such as mistrust in tool accuracy, limited prompting skills, and insufficient training hindered broader adoption. Tools were primarily used for document drafting, with limited exploration of advanced functionalities. Participants strongly emphasized the need for structured training programs and institutional support to enhance #Usability #UX and confidence. Conclusions: Familiarity with technology, positive early experiences, and openness to innovation may facilitate adoption, while barriers such as limited knowledge, mistrust in tool accuracy, and insufficient prompting skills can hinder broader use. LLM AI tools are now primarily used for basic tasks such as document drafting, with limited application to more advanced functionalities due to a lack of training and confidence. Structured tutorials and institutional support are needed to enhance #Usability #UX and integration. Targeted training programs, combined with organizational strategies to build trust and improve accessibility, could enhance adoption rates and broaden tool use. Future quantitative investigations should validate the adoption rate and influencing factors.

New in JMIR: Adoption of Large Language Model AI Tools in Everyday Tasks: Multisite Cross-Sectional #QualitativeStudy #research of Chinese #Hospital Administrators

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Perspectives on and Experiences With Remote Monitoring and ##Patient-Initiated Care Among Norwegian ##Patients With Axial Spondyloarthritis: #QualitativeStudy #research Background: Axial spondyloarthritis (axSpA) is a chronic inflammatory joint #Disease affecting the spine and sacroiliac joints, requiring frequent, lifelong monitoring and treatment. This involves regular symptom monitoring, assessing #Medication tolerance and side effects, and prompt therapy adjustments. Typically, ##Patients with axSpA attend prescheduled #Hospital visits, but once stable #Disease has been attained, these seldom align with periods of high #Disease activity. Remote monitoring and ##Patient-initiated care offer flexible, need-based, follow-up options. However, knowledge about how ##Patients with axSpA perceive and experience these approaches is limited. To effectively implement these strategies in clinical practice, understanding ##Patient perspectives is crucial. Objective: This #Study aims to explore how ##Patients with axSpA perceive and experience remote monitoring and ##Patient-initiated care. Methods: Our #QualitativeStudy #research was embedded in a #RCT #ClinicalTrial. Participants were allocated to either usual care, remote monitoring, or ##Patient-initiated care. The 2 intervention groups had no prescheduled visits and used a remote monitoring #app, but only the remote monitoring group received monitoring by #HealthCare professionals. Semistructured interviews were conducted with 18 participants from the intervention groups to explore their experiences. The interviews were audio recorded, transcribed, anonymized, and analyzed using thematic analysis. Participants provided informed consent. Results: Eighteen ##Patients (11 men and 7 women, aged 26-65 years) participated, 10 from the remote monitoring group and 8 from the ##Patient-initiated care group. Transcripts were analyzed into four key themes: (1) “I don’t need to go to the #Hospital just to report I’m doing well.” When ##Patients felt well, they perceived in-person consultations as less important. They acknowledged #HealthCare resource challenges and were willing to adapt but expressed concerns about rapid technological advancement, fearing it could exclude vulnerable groups. They emphasized the need for shared decision-making in determining follow-up strategies; (2) “It feels safer to meet healthcare personnel in person” highlighted participants’ preference for in-person interactions as a safety net for detecting changes or signs of #Disease. They felt more secure when communicating face-to-face with #HealthCare professionals; (3) Remote monitoring can promote a sense of freedom and self-efficacy. The #app provided autonomy, enabling ##Patients to monitor their health without disrupting daily routines and promoting their health competency; and (4) Practical challenges and limitations of technology affect sense of security. Concerns about #app deactivation, #Digital #Privacy, and lack of personalized settings negatively affected confidence in technology and sense of security. Conclusions: Remote monitoring and ##Patient-initiated care can adequately meet the needs of ##Patients with axSpA with low #Disease activity, reducing unnecessary visits and enhancing self-efficacy. However, these approaches should not be one-size-fits-all. Care must adapt to evolving #Disease activity, circumstances, and preferences. Human interaction and support remain crucial, and future technological developments must address practical challenges to ensure user-friendly and reliable interfaces.

New in JMIR: Perspectives on and Experiences With Remote Monitoring and ##Patient-Initiated Care Among Norwegian ##Patients With Axial Spondyloarthritis: #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Clinicians’ Perceptions and Potential Applications of Robotics for Task Automation in Critical Care: #QualitativeStudy #research Background: Interest in integrating robotics within intensive care units (ICUs) has been propelled by technological advancements, workforce challenges, and heightened clinical demands, including during the #COVID19 #coronavirus pandemic. The integration of robotics in ICUs could potentially enhance ##Patient care and operational efficiency amid existing challenges faced by #HealthCare professionals, including high workload and decision-making complexities. Objective: This #QualitativeStudy #research aimed to explore ICU clinicians’ perceptions of robotic technology and to identify the types of tasks that might benefit from robotic assistance. We focused on the degree of acceptance, perceived challenges, and potential applications for improving ##Patient care in 5 Southeastern US #Hospitals between January and August 2023. Methods: A #QualitativeStudy #research through semistructured interviews and questionnaires was conducted with 15 ICU clinicians (7 nurses, 6 #Physicians, and 2 advanced practice providers) from 5 #Hospitals in the Southeast United States. Directed content analysis was used to categorize and interpret participants’ statements, with statistical tests used to examine any role-based differences in how they viewed robotic integration. Results: Among the 15 participants, 73% (11/15) were female, with an average of 6.4 (SD 6.3) years of ICU experience. We identified 78 distinct tasks potentially suitable for robotic assistance, of which 50 (64%) involved direct ##Patient care (eg, repositioning ##Patients and assisting with simple procedures), 19 (24%) concerned indirect ##Patient care (eg, delivering supplies and cleaning), 6 (8%) addressed administrative tasks (eg, answering call lights), and 3 (4%) were classified as mixed direct and indirect (eg, sitting with a ##Patient to keep them calm). Most participants supported the automation of routine, noncritical tasks (eg, responding to nurse calls and measuring glucose levels), viewing this strategy as a way to alleviate workload and enhance efficiency. Conversely, high-complexity tasks requiring nuanced clinical judgment (eg, ventilator settings) were deemed unsuitable for full automation. Statistical analysis revealed no significant difference in how nurses, #Physicians, and advanced practice providers perceived these tasks (P=.22). Conclusions: Our findings indicate a significant opportunity to use robotic systems to perform noncomplex tasks in ICUs, thereby potentially improving efficiency and reducing staff burden. Clinicians largely view robots as supportive tools rather than substitutes for human expertise. However, concerns persist regarding #Privacy, ##Patient safety, and the loss of human touch, particularly for tasks requiring high-level clinical decision-making. Future #Research should involve broader, more diverse clinician samples and investigate the long-term impact of robotic assistance on ##Patient outcomes while also incorporating ##Patient perspectives to ensure ethical, ##Patient-centered adoption of robotic technology.

New in JMIR: Clinicians’ Perceptions and Potential Applications of Robotics for Task Automation in Critical Care: #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Engaging End Users to Inform the Design and Social Marketing Strategy for a #Web-Based Sexually Transmitted Infection/Blood-Borne Virus (STI/BBV) Testing Service for Young People in Victoria, Australia: #QualitativeStudy #research Background: The rates of sexually transmitted infections (STIs) continue to rise across Australia among 16- to 29-year-olds. Timely testing is needed to reduce transmission, but sexual health clinics are at capacity. This demand, coupled with barriers to getting tested faced by young people, has led to #Web-based services as a pragmatic solution. However, for young people to use these services, they must be acceptable, attractive, and usable. Social marketing principles combined with end user engagement can be used to guide the development of a #Web-based service and create a marketing strategy to attract them to the service. Objective: Working closely with end users and guided by social marketing, this project explored messaging, design elements (imagery), and promotional strategies that will support high usage of a #Web-based STI/blood-borne virus (BBV) testing service for young people in Victoria, Australia. Methods: Young people were recruited to participate in half-day workshops via youth organizations and targeted Meta (Facebook/Instagram) advertisements. An initial #Web-based #Survey was deployed to inform workshop content. Workshops were held in metropolitan, outer metropolitan, and regional Victoria. Young people were presented with a range of “image territories” developed by a social marketing firm and social marketing messages that were informed by the literature on communicating health messages. Participants discussed the feelings and reactions evoked by the content. Data collected through mixed methods (transcribed notes, audio recording, and physical outputs) were thematically analyzed to understand features of messaging and imagery that would attract young people to use the service. Results: A total of 45 people completed the initial #Survey with 17 participating in focus group workshops (metropolitan: n=8, outer metropolitan: n=6, and regional: n=3). Young people preferred messages that highlight the functional benefits (confidential, affordable, and accessible) of a #Web-based service and include professional imagery and logos that elicit trust. Young people indicated that the service should be promoted through #Digital communications (eg, dating apps and #SocialMedia #hcsm #SoMe), with endorsement from government or other recognized institutions, and via word-of-mouth communications. Conclusions: This #Study has highlighted the value of applying social marketing theory with end user engagement in developing a #Web-based STI/BBV testing service. Through the voices of young people, we have established the foundations to inform the design and marketing for Victoria’s first publicly funded #Web-based STI/BBV testing clinic. Future #Research will measure the reach and efficacy of social marketing, and how this service complements existing services in increasing STI/BBV testing uptake among young Victorians.

New in JMIR: Engaging End Users to Inform the Design and Social Marketing Strategy for a #Web-Based Sexually Transmitted Infection/Blood-Borne Virus (STI/BBV) Testing Service for Young People in Victoria, Australia: #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

1 year ago

The Dynamics of #Doctor-##Patient Communication During Remote Consultations: #QualitativeStudy #research Among Norwegian Contract General Practitioners Background: ##Patient consultations in general practice are undergoing a #Digital transformation, embracing diverse modalities such as video, text-based, and #Telephone consultations. The quality of communication in ##Medical consultations is pivotal for successful outcomes, necessitating a comprehensive assessment of the impact of this transformation on #Doctor-##Patient communication and interaction. Objective: This #Study aims to explore general practitioners’ (GPs’) perspectives on how the communication between Norwegian contract GPs and ##Patients has been affected by the large-scale implementation of remote consultations following the onset of the #COVID19 #coronavirus pandemic. Methods: Five focus groups, comprising 18 purposefully recruited GPs from diverse settings and geographical regions in Norway, were carried out in 2022. We applied thematic analysis guided by the framework proposed by Braun and Clarke. Results: Six themes resulted from the analysis. First, suitability regarding remote communication is context-dependent: knowing the characteristics of the ##Patient as a person and the clinical relationship is more important than the reason for contact or type of health problem—even more so than during ordinary physical consultations. Second, remote consultations favor a demarcated communication style, “keeping things simple—the one-problem approach,” which can increase work effectiveness. Third, a downside of such effective minimalism is that the uncritical use of remote consultations may undermine the quality of care. Communication becomes too transactional, limiting the chances of addressing more implicit and complex issues, with the risk of missing vital information. Fourth, remote modalities can help engage hesitant and vulnerable ##Patients. Fifth, GPs make communicative trade-offs in the name of continuity to be able to maintain relationships with ##Patients they see as vulnerable or fugitive. Finally, there are advantages and dilemmas stemming from text-based consultations. Although they offer benefits such as multimedia-enabled ##Patient expression and sharing of #Digital information, some concerns include the risk of information loss through triage errors, managing informal language, and ending chat-like interactions between ##Patients and #Doctors. Conclusions: The implementation of remote consultations has many effects on clinical interaction and communication. Although these modalities can enhance efficiency, there is a discernible risk of compromised retrieval of essential information and unvoiced problems, potentially resulting in unintended consequences. The preservation of continuity of care emerges as a pivotal strategy to mitigate some of these challenges.

New in JMIR: The Dynamics of #Doctor-##Patient Communication During Remote Consultations: #QualitativeStudy #research Among Norwegian Contract General Practitioners

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Exploring the Discontinuous Usage Behavior of #Digital Cognitive Training Among Older Adults With Mild Cognitive Impairment and Their Family Members: #QualitativeStudy #research Using the Extended Model of IT Continuance Background: #Digital cognitive training (DCT) has been found to be more effective than traditional paper-and-pencil training in enhancing overall cognitive function. However, a significant barrier to its long-term implementation is that older adults with mild cognitive impairment (MCI) do not continue to use it or even show a dropoff in usage after the initial engagement. Such short-term engagement may limit the potential benefits of DCT, as sustained use is required to achieve more pronounced cognitive improvements. Exploring the reasons for the shift in discontinuous usage behavior is crucial for promoting successful DCT implementation and maximizing its positive effects. Objective: This #Study aimed to explore the intrinsic reasons for the transition from initial acceptance to discontinuous usage behavior among older adults with MCI throughout the DCT process, by employing the extended model of IT continuance (ECM-ITC). Methods: We employed a qualitative #Research methodology and conducted 38 semistructured interviews before and after the use of DCT (3 times per week over 1 month, with each session lasting 30 minutes) with 19 older adults with MCI (aged 60 years or older) and 4 family members between January and March 2024. Thematic analysis and deductive framework analysis were used to identify the reasons for the discontinuous usage of DCT, with mapping to the ECM-ITC. Results: Most participants failed to complete the standard dosage of DCT. Data analysis revealed the reasons for the shift to discontinuous usage. Despite their need to improve cognitive function, participants found the cognitive training confusing and discovered that DCT did not align with their preferred method of training upon actual use. The disparity between their vague expectations and reality, combined with the contradiction between the “delayed gratification” of DCT and their desire for “immediate gratification,” made it difficult for them to discern the usefulness of DCT. Participants also viewed DCT as an additional financial burden and tended to avoid training under family pressure. They relied on motivational measures, which further weakened their intention to continue DCT, ultimately leading to the inability to develop continuous usage behavior. Conclusions: Continuous usage behavior differs from initial acceptance as it evolves dynamically with user experience over time. To encourage older adults with MCI to persistently engage with DCT, it is essential to not only thoroughly consider their genuine preferences and the potential disruptions DCT may bring to their lives but also bridge the gap between expectations and actual experiences. While ensuring that older adults receive appropriate external incentives and encouragement, it is equally important to foster their intrinsic motivation, thereby gradually cultivating the habit of sustained DCT usage.

New in JMIR: Exploring the Discontinuous Usage Behavior of #Digital Cognitive Training Among Older Adults With Mild Cognitive Impairment and Their Family Members: #QualitativeStudy #research Using the Extended Model of IT Continuance

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Factors Influencing the Intentions of ##Patients With Inflammatory Rheumatic #Diseases to Use a #Digital Human for #Medication Information: #QualitativeStudy #research Background: Introduction: ##Patients with inflammatory rheumatic #Diseases (IRDs) frequently experience drug-related problems (DRPs). DRPs can have negative health consequences and should be addressed promptly to prevent complications. A #Digital human,…

New in JMIR: Factors Influencing the Intentions of ##Patients With Inflammatory Rheumatic #Diseases to Use a #Digital Human for #Medication Information: #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Perspectives on Using artificial intelligence (#AI) to Derive Social Determinants of Health Data From ##Medical Records in Canada: Large Multijurisdictional #QualitativeStudy #research Background: Data on the social determinants of health could be used to improve care, support quality improvement initiatives, and track progress toward health equity. However, this data collection is not widespread. artificial intelligence (#AI) (AI),…

New in JMIR: Perspectives on Using artificial intelligence (#AI) to Derive Social Determinants of Health Data From ##Medical Records in Canada: Large Multijurisdictional #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Improving #Digital #Cancer Care for Older Black Adults: #QualitativeStudy #research Background: Health systems are rapidly promoting #Digital #Cancer care models to improve #Cancer care of their populations. However, there is growing evidence that #Digital #Cancer care can exacerbate inequities in #Cancer care for communities…

New in JMIR: Improving #Digital #Cancer Care for Older Black Adults: #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Large Language Models–Supported Thrombectomy Decision-Making in Acute Ischemic Stroke Based on Radiology Reports: Feasibility #QualitativeStudy #research Background: The latest advancement of artificial intelligence (#AI) (AI) is generative pretrained transformer large language models (LLMs). They have been trained on massive amounts of text, enabling humanlike and semantical responses to text-based inputs…

New in JMIR: Large Language Models–Supported Thrombectomy Decision-Making in Acute Ischemic Stroke Based on Radiology Reports: Feasibility #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Health IT Implementation and the Impact of the #COVID19 #coronavirus Pandemic on Clinician-IT Dynamics: #QualitativeStudy #research Background: The #COVID19 #coronavirus pandemic necessitated the rapid development and implementation of health ITs to support #HealthCare delivery. Health IT implementation is difficult at the best of times, due to complex sociotechnical challenges that…

New in JMIR: Health IT Implementation and the Impact of the #COVID19 #coronavirus Pandemic on Clinician-IT Dynamics: #QualitativeStudy #research

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@ijqmonline.bsky.social

1 year ago

Discover key insights on engaging subject matter experts in community research with Black older adults. Methodology matters! #CommunityResearch #QualitativeStudy Access Here: https://buff.ly/4gzqxhK @HelanaBoutros

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JMIR Publications

@jmirpub.bsky.social

1 year ago

Long-Term Monitoring of Individuals With Chronic Obstructive Pulmonary #Disease Using #DigitalHealth Technology: #QualitativeStudy #research Background: #DigitalHealth adoption in clinical practice has been widespread, yet there remains further potential for optimizing care specifically for chronic obstructive pulmonary #Disease (COPD). This #Study therefore conducted qualitative #Research…

New in JMIR: Long-Term Monitoring of Individuals With Chronic Obstructive Pulmonary #Disease Using #DigitalHealth Technology: #QualitativeStudy #research

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JMIR Publications

@jmirpub.bsky.social

1 year ago

#EHR Data Collection Practices to Advance Standardization and Interoperability of ##Patient Preferences for Interpretation Services: #QualitativeStudy #research Background: Poor health outcomes are well documented among ##Patients with a non-English language preference (NELP). The use of interpreters can improve the quality of care for ##Patients with NELP. Despite a growing and unmet need for interpretation…

New in JMIR: #EHR Data Collection Practices to Advance Standardization and Interoperability of ##Patient Preferences for Interpretation Services: #QualitativeStudy #research

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