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Cui J. Measuring the adoption of internet and communication technologies among practitioners in routine disability services: a stepped inclusive approach. Disabil Rehabil Assist Technol 2024:1-9. [PMID: 38949182 DOI: 10.1080/17483107.2024.2367080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 06/06/2024] [Indexed: 07/02/2024]
Abstract
PURPOSE Existing measurements of the use of information and communication technologies (ICTs) among practitioners in disability services often treat ICT adoption as a monolithic concept, overlooking its multifaceted nature within the disability field. This study introduces a stepped, inclusive approach to capturing this complexity, elucidating disparities in the utilization of various ICT dimensions, the present vs. anticipated use, and variations among different clinical-demographic groups. MATERIALS AND METHODS A cross-sectional survey was conducted in Hong Kong, gathering valid data from 324 practitioners spanning diverse disciplines and disability services. RESULTS Data analysis produced a three-factor model categorizing ICT tools into (1) information and communication tools, (2) screening and monitoring tools, and (3) treatment and rehabilitation tools. The first category was identified as the predominant ICT utilized currently, with significant projected growth in the latter two categories' usage. Variances in current ICT adoption were influenced by practitioners' roles, clientele, positions, affiliating agencies, and educational attainments. CONCLUSIONS This research provides a deeper understanding of the key dimensions of ICT adoption within disability services. It underscores the importance of devising specific and customized strategies for the effective integration of ICTs, ensuring a more tailored approach to meeting the unique demands of the disability field.
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Affiliation(s)
- Jialiang Cui
- Department of Social Work, The Chinese University of Hong Kong, Hong Kong, China
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2
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Sharifi-Heris Z, Fortier MA, Rahmani AM, Sharifiheris H, Bender M. Feasibility of continuous smart health monitoring in pregnant population: A mixed-method approach. PLOS DIGITAL HEALTH 2024; 3:e0000517. [PMID: 38837965 DOI: 10.1371/journal.pdig.0000517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 04/19/2024] [Indexed: 06/07/2024]
Abstract
The utilization of smart monitoring technology offers potential for enhancing health outcomes, yet its feasibility and acceptance among Hispanic pregnant individuals remain uncertain. This is particularly crucial to investigate within the context of apparently healthy individuals identified as low risk, who still face a 10% likelihood of complications. Given their frequent underrepresentation in healthcare services and relative lack of attention, improving the feasibility of remote monitoring in this population could yield significant benefits. To address this gap, our study aimed to adapt and evaluate the practicality of a smart monitoring platform among healthy Hispanic pregnant women during the second and third trimesters of pregnancy, as well as one week following childbirth, a period when complications often arise. This longitudinal study followed n = 16 participants for an average of 17 weeks. Participants were instructed to wear the Oura ring for objective data collection, including activity, sleep, and heart rate, and to complete survey questions through REDcap to assess mental health and lifestyle factors. The study framework utilized the RE-AIM approach, with acceptability and adherence as key components of the feasibility evaluation. Our findings revealed that completion rates for biweekly and monthly surveys remained consistently high until after childbirth (approximately 80%), while daily question completion remained above 80% until 38th week of gestation, declining thereafter. The wearing rate of the Oura ring remained consistently above 80% until the 35th gestational week, decreasing to around 31% postpartum. Participants cited barriers to wearing the ring during the postpartum period, including difficulties managing the newborn, forgetfulness, and concerns about scratching the baby's skin. The enrollment rate was 71.42%, with an attrition rate of 6.25%. Thematic analysis of one-on-one interviews identified three main themes: personal desire for health improvement, social acceptability and support, and conditions influencing device/platform efficiency. In conclusion, while adherence varied based on gestational week and survey frequency, the study demonstrated strong acceptability of the smart monitoring platform among the study population, indicated by the high enrollment rate. Qualitative insights underscored the significance of personal motivation, social support, and device/platform efficiency in enhancing patient engagement with digital health monitoring during pregnancy, offering valuable considerations for future healthcare interventions in this domain.
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Affiliation(s)
- Zahra Sharifi-Heris
- Sue & Bill Gross School of Nursing, University of California, Irvine, California, United States of America
- UCLA School of Nursing, University of California, Los Angeles, California, United States of America
| | - Michelle A Fortier
- Sue & Bill Gross School of Nursing, University of California, Irvine, California, United States of America
- Center on Stress & Health, University of California, Irvine, California, United States of America
| | - Amir M Rahmani
- Sue & Bill Gross School of Nursing, University of California, Irvine, California, United States of America
- Department of Computer Science, University of California, Irvine, California, United States of America
| | | | - Miriam Bender
- Sue & Bill Gross School of Nursing, University of California, Irvine, California, United States of America
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Hou S, Wang X, Zhao Z, Ma Y, Liu J, Zhang Z, Ma J. A Scale for Measuring Electronic Patient Engagement Behaviors: Development and Validation. Patient Prefer Adherence 2024; 18:917-929. [PMID: 38685912 PMCID: PMC11057637 DOI: 10.2147/ppa.s444633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 04/11/2024] [Indexed: 05/02/2024] Open
Abstract
Purpose Advancements in electronic health (eHealth) technology have profoundly impacted patient engagement. This study aimed to develop and validate the Electronic Patient Engagement Behavior (EPEB) scale to measure the conceptual and underlying framework of patient engagement behaviors in an eHealth context. Patients and Methods Initial measurement items were generated based on a literature review and qualitative research. Two rounds of surveys, a pilot survey and validation survey, were conducted to evaluate the psychometric properties of the scale. Results The EPEB scale consists of 15 items in four dimensions: disease information search, physician-patient interaction, social interaction between patients, and disease self-monitoring. In the pilot survey, the exploratory factor analysis revealed a four-factor model, explaining 69.411% of variance. In the validation survey, the Cronbach's α coefficient of each sub-scale was 0.865, 0.904, 0.904, and 0.900 respectively. The Spearman-Brown split coefficient of the scale was 0.963. The results of the cross-sex measurement equivalence test indicate that all fit indices met the measurement criteria. The confirmatory factor analysis indicated second-order 4-factor model fit the data well. The EPEB has a good reliability and validity. Conclusion The EPEB scale provides a reliable tool for measuring patient engagement behaviors in the eHealth context. The utilization of this scale may yield valuable insights into strategies for enhancing patient engagement and optimizing health outcomes.
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Affiliation(s)
- Shengchao Hou
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Xiubo Wang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Zizhao Zhao
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Yongqiang Ma
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Jing Liu
- Administrative Office, Yuebei People’s Hospital, Shaoguan, People’s Republic of China
| | - Ziyun Zhang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Jingdong Ma
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
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Alsulami S, Konstantinidis ST, Wharrad H. Use of wearables among Multiple Sclerosis patients and healthcare Professionals: A scoping review. Int J Med Inform 2024; 184:105376. [PMID: 38359683 DOI: 10.1016/j.ijmedinf.2024.105376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 01/28/2024] [Accepted: 02/10/2024] [Indexed: 02/17/2024]
Abstract
INTRODUCTION Multiple sclerosis (MS) is an increasingly prevalent chronic, autoimmune, and inflammatory central nervous system illness, whose common symptoms undermine the quality of life of patients and their families. Recent technical breakthroughs potentially offer continuous, reliable, sensitive, and objective remote monitoring solutions for healthcare. Wearables can be useful for evaluating falls, fatigue, sedentary behavior, exercise, and sleep quality in people with MS (PwMS). OBJECTIVE This scoping review of relevant literature explores studies investigating the perceptions of patients and healthcare professionals (HCPs) about the use of wearable technologies in the management of MS. METHODS The Joanna Briggs Institute methodology for scoping reviews was used. The search strategy was applied to the databases, MEDLINE via Ovid, Embase, APA PsycInfo, and CINAHL. Further searches were performed in IEEE, Scopus, and Web of Science. The review considered studies reporting quantitative or qualitative data on perceptions and experiences of PwMS and HCPs concerning wearables' usability, satisfaction, barriers, and facilitators. RESULTS 10 studies were included in this review. Wearables' usefulness and accessibility, ease of use, awareness, and motivational tool potential were patient-perceived facilitators of use. Barriers related to anxiety and frustration, complexity, and the design of wearables. Perceived usefulness and system requirements are identified as facilitators of using wearables by HCPs, while data security concerns and fears of increased workload and limited effectiveness in the care plan are identified as barriers to use wearables. CONCLUSIONS This review contributes to our understanding of the benefits of wearable technologies in MS by exploring perceptions of both PwMS and HCPs. The scoping review provided a broad overview of facilitators and barriers to wearable use in MS. There is a need for further studies underlined with sound theoretical frameworks to provide a robust evidence-base for the optimal use of wearables to empower healthcare users and providers.
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Affiliation(s)
- Shemah Alsulami
- Faculty of Medicine & Health Sciences, University of Nottingham, School of Health Sciences, Queen's Medical Centre, B floor, Nottingham, NG7 2UH, UK; College of Business Administration, King Saud University, Department of Health Administration, Building 3, Riyadh, 12371, KSA, Saudi Arabia.
| | - Stathis Th Konstantinidis
- Faculty of Medicine & Health Sciences, University of Nottingham, School of Health Sciences, Queen's Medical Centre, B floor, Nottingham, NG7 2UH, UK.
| | - Heather Wharrad
- Faculty of Medicine & Health Sciences, University of Nottingham, School of Health Sciences, Queen's Medical Centre, B floor, Nottingham, NG7 2UH, UK.
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Weik L, Fehring L, Mortsiefer A, Meister S. Understanding inherent influencing factors to digital health adoption in general practices through a mixed-methods analysis. NPJ Digit Med 2024; 7:47. [PMID: 38413767 PMCID: PMC10899241 DOI: 10.1038/s41746-024-01049-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/16/2024] [Indexed: 02/29/2024] Open
Abstract
Extensive research has shown the potential value of digital health solutions and highlighted the importance of clinicians' adoption. As general practitioners (GPs) are patients' first point of contact, understanding influencing factors to their digital health adoption is especially important to derive personalized practical recommendations. Using a mixed-methods approach, this study broadly identifies adoption barriers and potential improvement strategies in general practices, including the impact of GPs' inherent characteristics - especially their personality - on digital health adoption. Results of our online survey with 216 GPs reveal moderate overall barriers on a 5-point Likert-type scale, with required workflow adjustments (M = 4.13, SD = 0.93), inadequate reimbursement (M = 4.02, SD = 1.02), and high training effort (M = 3.87, SD = 1.01) as substantial barriers. Improvement strategies are considered important overall, with respondents especially wishing for improved interoperability (M = 4.38, SD = 0.81), continued technical support (M = 4.33, SD = 0.91), and improved usability (M = 4.20, SD = 0.88). In our regression model, practice-related characteristics, the expected future digital health usage, GPs' digital affinity, several personality traits, and digital maturity are significant predictors of the perceived strength of barriers. For the perceived importance of improvement strategies, only demographics and usage-related variables are significant predictors. This study provides strong evidence for the impact of GPs' inherent characteristics on barriers and improvement strategies. Our findings highlight the need for comprehensive approaches integrating personal and emotional elements to make digitization in practices more engaging, tangible, and applicable.
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Affiliation(s)
- Lisa Weik
- Health Care Informatics, Faculty of Health, School of Medicine, Witten/Herdecke University, Witten, Germany
| | - Leonard Fehring
- Helios University Hospital Wuppertal, Department of Gastroenterology, Witten/Herdecke University, Wuppertal, Germany
- Faculty of Health, School of Medicine, Witten/Herdecke University, Witten, Germany
| | - Achim Mortsiefer
- General Practice II and Patient-Centredness in Primary Care, Institute of General Practice and Primary Care, Faculty of Health, School of Medicine, Witten/Herdecke University, Witten, Germany
| | - Sven Meister
- Health Care Informatics, Faculty of Health, School of Medicine, Witten/Herdecke University, Witten, Germany.
- Department Healthcare, Fraunhofer Institute for Software and Systems Engineering ISST, Dortmund, Germany.
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Nourse R, Dingler T, Kelly J, Kwasnicka D, Maddison R. The Role of a Smart Health Ecosystem in Transforming the Management of Chronic Health Conditions. J Med Internet Res 2023; 25:e44265. [PMID: 38109188 PMCID: PMC10758944 DOI: 10.2196/44265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 06/07/2023] [Accepted: 06/29/2023] [Indexed: 12/19/2023] Open
Abstract
The effective management of chronic conditions requires an approach that promotes a shift in care from the clinic to the home, improves the efficiency of health care systems, and benefits all users irrespective of their needs and preferences. Digital health can provide a solution to this challenge, and in this paper, we provide our vision for a smart health ecosystem. A smart health ecosystem leverages the interoperability of digital health technologies and advancements in big data and artificial intelligence for data collection and analysis and the provision of support. We envisage that this approach will allow a comprehensive picture of health, personalization, and tailoring of behavioral and clinical support; drive theoretical advancements; and empower people to manage their own health with support from health care professionals. We illustrate the concept with 2 use cases and discuss topics for further consideration and research, concluding with a message to encourage people with chronic conditions, their caregivers, health care professionals, policy and decision makers, and technology experts to join their efforts and work toward adopting a smart health ecosystem.
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Affiliation(s)
- Rebecca Nourse
- School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia
| | - Tilman Dingler
- School of Computing and Information Systems, University of Melbourne, Melbourne, Australia
| | - Jaimon Kelly
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Dominika Kwasnicka
- NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
- Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Ralph Maddison
- School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia
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Sanches CA, Silva GA, Librantz AFH, Sampaio LMM, Belan PA. Wearable Devices to Diagnose and Monitor the Progression of COVID-19 Through Heart Rate Variability Measurement: Systematic Review and Meta-Analysis. J Med Internet Res 2023; 25:e47112. [PMID: 37820372 PMCID: PMC10685286 DOI: 10.2196/47112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 06/28/2023] [Accepted: 10/10/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Recent studies have linked low heart rate variability (HRV) with COVID-19, indicating that this parameter can be a marker of the onset of the disease and its severity and a predictor of mortality in infected people. Given the large number of wearable devices that capture physiological signals of the human body easily and noninvasively, several studies have used this equipment to measure the HRV of individuals and related these measures to COVID-19. OBJECTIVE The objective of this study was to assess the utility of HRV measurements obtained from wearable devices as predictive indicators of COVID-19, as well as the onset and worsening of symptoms in affected individuals. METHODS A systematic review was conducted searching the following databases up to the end of January 2023: Embase, PubMed, Web of Science, Scopus, and IEEE Xplore. Studies had to include (1) measures of HRV in patients with COVID-19 and (2) measurements involving the use of wearable devices. We also conducted a meta-analysis of these measures to reduce possible biases and increase the statistical power of the primary research. RESULTS The main finding was the association between low HRV and the onset and worsening of COVID-19 symptoms. In some cases, it was possible to predict the onset of COVID-19 before a positive clinical test. The meta-analysis of studies reported that a reduction in HRV parameters is associated with COVID-19. Individuals with COVID-19 presented a reduction in the SD of the normal-to-normal interbeat intervals and root mean square of the successive differences compared with healthy individuals. The decrease in the SD of the normal-to-normal interbeat intervals was 3.25 ms (95% CI -5.34 to -1.16 ms), and the decrease in the root mean square of the successive differences was 1.24 ms (95% CI -3.71 to 1.23 ms). CONCLUSIONS Wearable devices that measure changes in HRV, such as smartwatches, rings, and bracelets, provide information that allows for the identification of COVID-19 during the presymptomatic period as well as its worsening through an indirect and noninvasive self-diagnosis.
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Affiliation(s)
- Carlos Alberto Sanches
- Informatics and Knowledge Management Graduate Program, Universidade Nove de Julho, São Paulo, Brazil
| | - Graziella Alves Silva
- Informatics and Knowledge Management Graduate Program, Universidade Nove de Julho, São Paulo, Brazil
| | | | | | - Peterson Adriano Belan
- Informatics and Knowledge Management Graduate Program, Universidade Nove de Julho, São Paulo, Brazil
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Co-Design, Development, and Evaluation of a Health Monitoring Tool Using Smartwatch Data: A Proof-of-Concept Study. FUTURE INTERNET 2023. [DOI: 10.3390/fi15030111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2023] Open
Abstract
Computational analysis and integration of smartwatch data with Electronic Medical Records (EMR) present potential uses in preventing, diagnosing, and managing chronic diseases. One of the key requirements for the successful clinical application of smartwatch data is understanding healthcare professional (HCP) perspectives on whether these devices can play a role in preventive care. Gaining insights from the vast amount of smartwatch data is a challenge for HCPs, thus tools are needed to support HCPs when integrating personalized health monitoring devices with EMR. This study aimed to develop and evaluate an application prototype, co-designed with HCPs and employing design science research methodology and diffusion of innovation frameworks to identify the potential for clinical integration. A machine learning algorithm was developed to detect possible health anomalies in smartwatch data, and these were presented visually to HCPs in a web-based platform. HCPs completed a usability questionnaire to evaluate the prototype, and over 60% of HCPs scored positively on usability. This preliminary study tested the proposed research to solve the practical challenges of HCP in interpreting smartwatch data before fully integrating smartwatches into the EMR. The findings provide design directions for future applications that use smartwatch data to improve clinical decision-making and reduce HCP workloads.
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Kim H, Cho B, Jung J, Kim J. Attitudes and perspectives of nurses and physicians in South Korea towards the clinical use of person-generated health data. Digit Health 2023; 9:20552076231218133. [PMID: 38033521 PMCID: PMC10685775 DOI: 10.1177/20552076231218133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2023] [Indexed: 12/02/2023] Open
Abstract
This study aimed to explore the adoption of person-generated health data in clinical settings and discern the factors influencing clinicians' willingness to use it. A web-based survey containing 48 questions was developed based on prior research and the Unified Theory of Acceptance and Use of Technology 2 model. The survey was administered to a convenience sample of 486 nurses and physicians in South Korea recruited through an online community and snowball sampling. Of these, 70.7% were physicians. While 65% had used mobile health apps and devices, only 12.8% were familiar with person-generated health data. Still, a promising 73.3% expressed interest in incorporating person-generated health data into patient care, particularly data on blood glucose and vital signs. The findings of the study also indicated that clinicians specializing in internal medicine (OR: 1.9, CI: 1.16-3.19), familiar with person-generated health data (OR: 2.6, CI: 1.58-4.29), with a positive view of information and communication technology adoption (OR: 2.6, CI: 1.65-4.13), and who see the value in person-generated health data (OR: 3.9, CI: 2.55-6.09) showed higher inclination to utilize it. However, those in outpatient settings (OR: 0.4, CI: 0.19-0.73) showed less enthusiasm. The findings of this study suggest that despite the willingness of clinicians to use person-generated health data, various barriers must be addressed first, including a lack of knowledge regarding its use, concerns about data reliability and quality, and a lack of provider incentives. Overcoming these challenges demands concerted organizational or policy support. This research underscores person-generated health data's untapped potential in healthcare and the pressing need for strategies that facilitate its clinical integration.
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Affiliation(s)
- Hyeoneui Kim
- The College of Nursing, Seoul National University, Seoul, Republic of Korea
- The Research Institute of Nursing Science, Seoul National University, Seoul, Republic of Korea
- The Center for Human-Caring Nurse Leaders for the Future by Brain Korea 21 Four Project, College of Nursing, Seoul National University, Seoul, Republic of Korea
| | - Boseul Cho
- The College of Nursing, Seoul National University, Seoul, Republic of Korea
- The Critical Care Nursing, Asan Medical Center, Seoul, Republic of Korea
| | - Jinsun Jung
- The College of Nursing, Seoul National University, Seoul, Republic of Korea
- The Center for Human-Caring Nurse Leaders for the Future by Brain Korea 21 Four Project, College of Nursing, Seoul National University, Seoul, Republic of Korea
| | - Jinsol Kim
- The College of Nursing, Seoul National University, Seoul, Republic of Korea
- The Center for Human-Caring Nurse Leaders for the Future by Brain Korea 21 Four Project, College of Nursing, Seoul National University, Seoul, Republic of Korea
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Yao Y, Li Z, He Y, Zhang Y, Guo Z, Lei Y, Zhao Q, Li D, Zhang Z, Zhang Y, Liao X. Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study. Front Public Health 2023; 11:1128127. [PMID: 37213597 PMCID: PMC10196261 DOI: 10.3389/fpubh.2023.1128127] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 04/11/2023] [Indexed: 05/23/2023] Open
Abstract
Introduction Atrial fibrillation (AF) is a challenging cardiovascular disease worldwide. Wearable electrocardiograph devices (WEDs) have great potential to improve the detection rate of AF in primary care. However, the factors that influence general practitioners' (GPs) perception and acceptance of WEDs are not well understood. To identify factors that influence the intention of GPs to utilize WEDs in a clinical setting to screen patients for AF. Method The research hypotheses and questionnaire items were designed and developed based on the unified theory of acceptance and technology (UTAUT) framework. We used stratified sampling and obtained the data through an online survey. Structural equation modeling was used to analyze the collected data.Results: A total of 1,004 valid questionnaires from GPs across Sichuan province in China were collected. Three factors increased GPs' intention to utilize WEDs to screen patients for AF, including performance expectancy (β = 0.121, p = 0.004), social influence (β = 0.356, p < 0.001), and price perception (β = 0.587, p < 0.001). Perception risk (β = -0.059, p < 0.001) decreased usage intention, while effort expectancy (β = -0.079, p = 0.155) and facilitating conditions (β = -0.014, p = 0.868) did not affect usage intention. Gender (β = -0.022, p = 0.179), age (β = 0.006, p = 0.699), education level (β = -0.22, p = 0.184) and training (β = 0.007, p = 0.69) were not significantly correlated with usage intention, and these four factors had no moderating effect on the path coefficients. Discussion GPs' intention to utilize WEDs is affected by performance expectancy, price perception, perception risk and social influence. Researcher should improve the usability and perception of WEDs for screening and carry out studies to provide high-quality evidence for the security and efficacy of wearable devices.
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Affiliation(s)
- Yi Yao
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
| | - Zhichao Li
- Day Surgery Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yi He
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
- Chengdu Seventh People Hospital, Chengdu, China
| | - Yalin Zhang
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
| | - Zhaoxia Guo
- Business School, Sichuan University, Chengdu, China
| | - Yi Lei
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
| | - Qian Zhao
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
| | - Dongze Li
- Department of Emergency Medicine and Laboratory of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Zhi Zhang
- Chengdu Shuangliu District Xihanggang Community Hospital, Chengdu, China
| | - Yonggang Zhang
- Department of Periodical Press and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
- Yonggang Zhang,
| | - Xiaoyang Liao
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Xiaoyang Liao,
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Nazir T, Mushhood Ur Rehman M, Asghar MR, Kalia JS. Artificial intelligence assisted acute patient journey. Front Artif Intell 2022; 5:962165. [PMID: 36267660 PMCID: PMC9577284 DOI: 10.3389/frai.2022.962165] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 09/12/2022] [Indexed: 11/13/2022] Open
Abstract
Artificial intelligence is taking the world by storm and soon will be aiding patients in their journey at the hospital. The trials and tribulations of the healthcare system during the COVID-19 pandemic have set the stage for shifting healthcare from a physical to a cyber-physical space. A physician can now remotely monitor a patient, admitting them only if they meet certain thresholds, thereby reducing the total number of admissions at the hospital. Coordination, communication, and resource management have been core issues for any industry. However, it is most accurate in healthcare. Both systems and providers are exhausted under the burden of increasing data and complexity of care delivery, increasing costs, and financial burden. Simultaneously, there is a digital transformation of healthcare in the making. This transformation provides an opportunity to create systems of care that are artificial intelligence-enabled. Healthcare resources can be utilized more justly. The wastage of financial and intellectual resources in an overcrowded healthcare system can be avoided by implementing IoT, telehealth, and AI/ML-based algorithms. It is imperative to consider the design principles of the patient's journey while simultaneously prioritizing a better user experience to alleviate physician concerns. This paper discusses the entire blueprint of the AI/ML-assisted patient journey and its impact on healthcare provision.
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Affiliation(s)
- Talha Nazir
- Research Fellow, NeuroCare.AI Neuroscience Academy, Dallas, TX, United States,*Correspondence: Talha Nazir
| | | | | | - Junaid S. Kalia
- NeuroCare.AI, Dallas, TX, United States,Neurologypocketbook.com, Dallas, TX, United States,Junaid S. Kalia
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Faheem F, Zafar Z, Razzak A, Kalia JS. Implementing Virtual Care in Neurology - Challenges and Pitfalls. J Cent Nerv Syst Dis 2022; 14:11795735221109745. [PMID: 35795886 PMCID: PMC9252001 DOI: 10.1177/11795735221109745] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Virtual care is here to stay. The explosive expansion of telehealth caused by the SARS-CoV-2 pandemic is more than a necessary measure of protection. The key drivers of this transition in healthcare delivery to a virtual setting are changes in patient behavior and expectations and societal attitudes, and prevailing technologies that are impossible to ignore. The younger population - Generation Z - is increasingly connected and mobile-first. We are heading to a world where we expect to see healthcare in general and neurology, in particular, delivered virtually. The medical community should prepare for this overhaul; proper implementation of virtual care from the ground up is the need of the hour. In an era of virtualization, it is up to the medical community to ensure a well-informed patient population, overcome cultural differences and build digital infrastructure with enhanced access and equity in care delivery, especially for the aging neurological patient population, which is not technologically savvy. Virtual care is a continuum of care that needs deeper integration at systematic levels. The design principles of a patient's journey need to be incorporated while simultaneously placing physician satisfaction with a better user experience at the center of implementation. In this paper, we discuss common challenges and pitfalls of virtual care implementation in neurology - logistical, technical, medicolegal, and those faced in incorporating health and medical education into virtual care - intending to provide solutions and strategies.
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Affiliation(s)
| | | | - Aisha Razzak
- University of Texas at Dallas, Richardson, TX, USA
| | - Junaid Siddiq Kalia
- Founder, NeuroCare.AI.,Editor-in-Chief, neurologypocketbook.com.,Founder, Institute of Health Innovation and Education
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Yen HY, Huang WH. The efficacy of commercial smartwatches with a blood pressure-monitoring feature: A pilot randomized controlled trial. J Nurs Scholarsh 2021; 54:324-331. [PMID: 34791761 DOI: 10.1111/jnu.12740] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 10/13/2021] [Accepted: 10/22/2021] [Indexed: 01/04/2023]
Abstract
PURPOSE The purpose was to explore the efficacy of a commercial smartwatch with a blood pressure-monitoring feature. DESIGN A randomized controlled trial. METHODS Sixty healthy young adults were recruited. Participants were randomly allocated to wear a commercial smartwatch, one with and one without a blood pressure-monitoring feature for 12 weeks. Data were collected using Omron HEM-907, Inbody 270S, and the International Physical Activity Questionnaire. FINDINGS Results revealed a significant effect and group-by-time interaction on diastolic blood pressure. After 12 weeks in participants who wore a smartwatch with a blood pressure-monitoring feature, the systolic and diastolic blood pressure and resting heart rate had decreased. CONCLUSION Using commercial smartwatches with a blood pressure-monitoring feature is a feasible approach to support self-management, increase awareness, and promote physical activity for health promotion, obesity and chronic disease prevention. CLINICAL RELEVANCE Wearable technologies may be an innovative strategy for preventing high blood pressure by continuous self-monitoring and healthy behavior modifications.
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Affiliation(s)
- Hsin-Yen Yen
- School of Gerontology Health Management, College of Nursing, Taipei Medical University, Taipei, Taiwan
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