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Butler J, Brown M, Prokocimer P, Humphries AC, Pope S, Wright O, Su J, Elnawasany O, Muresan B. The role of cardiac acoustic biomarkers in monitoring patients with heart failure: A systematic literature review. ESC Heart Fail 2024. [PMID: 39294891 DOI: 10.1002/ehf2.15075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 08/16/2024] [Accepted: 08/29/2024] [Indexed: 09/21/2024] Open
Abstract
Heart failure (HF) creates a considerable clinical, humanistic and economic burden on patients and caregivers as well as on healthcare systems. To attenuate the significant burden of HF, there is a need for enhanced management of patients with HF. The use of digital tools for remote non-invasive monitoring of heart parameters is gaining traction, and cardiac acoustic biomarkers (CABs) have been proposed as a complementary set of measures to assess heart function alongside traditional methods such as electrocardiogram and echocardiography. We conducted a systematic literature review to evaluate associations between CABs and HF outcomes. Embase and MEDLINE databases were searched for recent studies published between 2013 and 2023 that evaluated CABs in patients with HF. Additional grey literature (i.e., conference, congress and pre-print publications from January 2021 to May 2023) searches were included. Two reviewers independently examined all articles; a third resolved conflicts. Data were extracted from articles meeting inclusion criteria. Extracted studies underwent quality and bias assessments using the Joanna Briggs Institute (JBI) critical appraisal tools. In total, 3074 records were screened, 73 full-text articles were assessed for eligibility and 27 publications were included. Third heart sound (S3) and electromechanical activation time (EMAT) were the CABs most often reported in the literature for monitoring HF. Fifteen publications discussed changes in S3 characteristics and its role in HF detection or outcomes: six studies highlighted S3 assessment among various groups of patients with HF; four studies evaluated the strength or amplitude of S3 with clinical outcomes; five studies assessed the relationship between S3 presence and clinical outcomes; and one study assessed both S3 presence and amplitude in relation to HF clinical outcomes. Eleven publications reported on EMAT and its derivatives: five studies on the relationship between EMAT and HF and six studies on the association of EMAT and HF clinical outcomes. Studies reporting the first and fourth heart sound, left ventricular ejection time and systolic dysfunction index were limited. Published literature supported S3 and EMAT as robust CAB measures in HF that may have value in remote clinical monitoring and management of patients with HF. Additional studies designed to test the predictive power of these CABs, and others less well-characterized, are needed. This work was funded by Astellas Pharma Inc.
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Affiliation(s)
- Javed Butler
- Baylor Scott and White Research Institute, Dallas, Texas, USA
- University of Mississippi Medical Center, Jackson, Mississippi, USA
| | | | | | | | | | | | - Jun Su
- Astellas Pharma Global Development Inc., Northbrook, Illinois, USA
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Chan CSW, Kan MMP, Wong AKC. Effects of Peer- or Professional-Led Support in Enhancing Adherence to Wearable Monitoring Devices Among Community-Dwelling Older Adults: Systematic Review of Randomized Controlled Trials. J Med Internet Res 2024; 26:e53607. [PMID: 38900546 PMCID: PMC11224698 DOI: 10.2196/53607] [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: 10/12/2023] [Revised: 03/25/2024] [Accepted: 04/23/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Despite the well-documented health benefits associated with wearable monitoring devices (WMDs), adherence among community-dwelling older adults remains low. By providing guidance on the purpose and benefits of using WMDs, facilitating goal-setting aligned with the device's features, promoting comprehension of the health data captured by the device, and assisting in overcoming technological challenges, peers and health care professionals can potentially enhance older adults' adherence to WMDs. However, the effectiveness of such support mechanisms in promoting adherence to WMDs among older adults remains poorly understood. OBJECTIVE The aims of this systematic review were to examine the effects of peer- or professional-led intervention programs designed to improve adherence to WMDs among community-dwelling older adults and to identify the intervention components that may positively influence the effects of the intervention. METHODS We conducted a comprehensive search across 7 electronic databases (Cochrane Central Register of Controlled Trials [CENTRAL], PubMed, EMBASE, PsycINFO, British Nursing Index, Web of Science, and CINAHL) to identify articles published between January 1, 2010, and June 26, 2023. We specifically targeted randomized controlled trials that examined the impact of peer- or professional-led interventions on enhancing adherence to WMDs among individuals aged 60 years and older residing in the community. Two independent reviewers extracted data from the included studies and assessed the potential risk of bias in accordance with the Cochrane Risk of Bias tool for randomized trials, version 2. RESULTS A total of 10,511 studies were identified through the database search. Eventually, we included 3 randomized controlled trials involving 154 community-dwelling older adults. The participants had a mean age of 65 years. Our review revealed that increasing awareness of being monitored and implementing the SystemCHANGE approach, a habit change tool focusing on personal goals and feedback, were effective strategies for enhancing adherence to WMDs among older adults. All of the included studies exhibited a low risk of bias. CONCLUSIONS By collaboratively designing specific goals related to WMDs with health care professionals, including nurses and physicians, older adults exhibited a higher likelihood of adhering to the prescribed use of WMDs. These goal-setting tools provided a framework for structure and motivation, facilitating the seamless integration of WMDs into their daily routines. Researchers should prioritize interventions that target awareness and goal-setting as effective approaches to enhance adherence to WMDs among older adults, thereby maximizing the realization of associated health benefits.
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Affiliation(s)
- Colette Sze Wing Chan
- School of Nursing, The Hong Kong Polytechnic University, Hung Hom, China (Hong Kong)
| | - Mandy Ming Pui Kan
- School of Nursing, The Hong Kong Polytechnic University, Hung Hom, China (Hong Kong)
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Choo YJ, Lee GW, Moon JS, Chang MC. Application of non-contact sensors for health monitoring in hospitals: a narrative review. Front Med (Lausanne) 2024; 11:1421901. [PMID: 38933102 PMCID: PMC11199382 DOI: 10.3389/fmed.2024.1421901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024] Open
Abstract
The continuous monitoring of the health status of patients is essential for the effective monitoring of disease progression and the management of symptoms. Recently, health monitoring using non-contact sensors has gained interest. Therefore, this study aimed to investigate the use of non-contact sensors for health monitoring in hospital settings and evaluate their potential clinical applications. A comprehensive literature search was conducted using PubMed to identify relevant studies published up to February 26, 2024. The search terms included "hospital," "monitoring," "sensor," and "non-contact." Studies that used non-contact sensors to monitor health status in hospital settings were included in this review. Of the 38 search results, five studies met the inclusion criteria. The non-contact sensors described in the studies were radar, infrared, and microwave sensors. These non-contact sensors were used to obtain vital signs, such as respiratory rate, heart rate, and body temperature, and were then compared with the results from conventional measurement methods (polysomnography, nursing records, and electrocardiography). In all the included studies, non-contact sensors demonstrated a performance similar to that of conventional health-related parameter measurement methods. Non-contact sensors are expected to be a promising solution for health monitoring in hospital settings.
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Affiliation(s)
- Yoo Jin Choo
- Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Daegu, Republic of Korea
| | - Gun Woo Lee
- Department of Orthopaedic Surgery, College of Medicine, Yeungnam University, Daegu, Republic of Korea
| | - Jun Sung Moon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Yeungnam University, Daegu, Republic of Korea
| | - Min Cheol Chang
- Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Daegu, Republic of Korea
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Bechtold U, Stauder N, Fieder M. Attitudes towards Technology: Insights on Rarely Discussed Influences on Older Adults' Willingness to Adopt Active Assisted Living (AAL). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:628. [PMID: 38791842 PMCID: PMC11121440 DOI: 10.3390/ijerph21050628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 05/06/2024] [Accepted: 05/10/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND European research policy promotes active assisted living (AAL) to alleviate costs and reach new markets. The main argument for massive investments in AAL is its potential to raise older adults' Quality of Life and enhance their freedom, autonomy, mobility, social integration, and communication. However, AAL is less widely spread in older adults' households than expected. RESEARCH AIM We investigate how the variable "technology acceptance" is connected to socio-economic-, social, health, "personal attitude towards ageing", and "Quality of life" variables. METHOD We conducted a study in Vienna between 2018 and 2020, questioning 245 older adults (M = 74, SD = 6.654) living in private homes. We calculated multivariate models regressing technology acceptance on the various exploratory and confounding variables. RESULTS Experiencing an event that made the person perceive their age differently changed the attitude towards using an assistive technological system. Participants perceived technology that is directly associated with another human being (e.g., the use of technology to communicate with a physician) more positively. CONCLUSION Older adults' attitudes towards technology may change throughout their lives. Using major events in life as potential entry points for technology requires awareness to avoid reducing the lives of older adults to these events. Secondly, a certain human preference for "human technology" may facilitate abuse if technology is given a white coat, two eyes, a nose, and a mouth that may falsely be associated with a natural person. This aspect raises the ethical issue of accurate information as a significant precondition for informed consent.
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Affiliation(s)
- Ulrike Bechtold
- Institute of Technology Assessment, Austrian Academy of Sciences, 1010 Vienna, Austria
- Department of Anthropology, University of Vienna, 1030 Vienna, Austria
| | - Natalie Stauder
- Department of Anthropology, University of Vienna, 1030 Vienna, Austria
| | - Martin Fieder
- Department of Anthropology, University of Vienna, 1030 Vienna, Austria
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Sun L, Yang B, Kindt E, Chu J. Privacy Barriers in Health Monitoring: Scoping Review. JMIR Nurs 2024; 7:e53592. [PMID: 38723253 PMCID: PMC11117136 DOI: 10.2196/53592] [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: 10/11/2023] [Revised: 12/20/2023] [Accepted: 03/13/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Health monitoring technologies help patients and older adults live better and stay longer in their own homes. However, there are many factors influencing their adoption of these technologies. Privacy is one of them. OBJECTIVE The aim of this study was to provide an overview of the privacy barriers in health monitoring from current research, analyze the factors that influence patients to adopt assisted living technologies, provide a social psychological explanation, and propose suggestions for mitigating these barriers in future research. METHODS A scoping review was conducted, and web-based literature databases were searched for published studies to explore the available research on privacy barriers in a health monitoring environment. RESULTS In total, 65 articles met the inclusion criteria and were selected and analyzed. Contradictory findings and results were found in some of the included articles. We analyzed the contradictory findings and provided possible explanations for current barriers, such as demographic differences, information asymmetry, researchers' conceptual confusion, inducible experiment design and its psychological impacts on participants, researchers' confirmation bias, and a lack of distinction among different user roles. We found that few exploratory studies have been conducted so far to collect privacy-related legal norms in a health monitoring environment. Four research questions related to privacy barriers were raised, and an attempt was made to provide answers. CONCLUSIONS This review highlights the problems of some research, summarizes patients' privacy concerns and legal concerns from the studies conducted, and lists the factors that should be considered when gathering and analyzing people's privacy attitudes.
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Affiliation(s)
- Luyi Sun
- Department of Information Security and Communication Technology, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Gjøvik, Norway
| | - Bian Yang
- Department of Information Security and Communication Technology, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Gjøvik, Norway
| | - Els Kindt
- Centre for IT & IP Law, Faculty of Law and Criminology, KU Leuven, Leuven, Belgium
| | - Jingyi Chu
- Administrative Law, Faculty of Law, China University of Political Science and Law, Beijing, China
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Tanaka M, Ishii S, Matsuoka A, Tanabe S, Matsunaga S, Rahmani A, Dutt N, Rasouli M, Nyamathi A. Perspectives of Japanese elders and their healthcare providers on use of wearable technology to monitor their health at home: A qualitative exploration. Int J Nurs Stud 2024; 152:104691. [PMID: 38262231 DOI: 10.1016/j.ijnurstu.2024.104691] [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: 06/02/2023] [Revised: 11/20/2023] [Accepted: 01/04/2024] [Indexed: 01/25/2024]
Abstract
BACKGROUND With 24 million Japanese elderly aging at home, the challenges of managing chronic conditions are significant. As many Japanese elders manage multiple chronic conditions, investigating the usefulness of wearable health devices for this population is warranted. AIM The purpose of this qualitative study, using grounded theory, was to explore the perspectives of Japanese elders, their caretakers, and their healthcare providers on the use of technology and wearable devices to monitor health conditions and keep Japanese elders safe at home. METHODS In conducting this study, a community advisory board was first established to guide the research design; six focus groups and two one-on-one interviews were conducted, with a total of 21 participants. RESULTS Four major themes emerged from the analysis: 1) Current Status of Health Issues Experienced by Japanese Elders and Ways of Being Monitored; 2) Current Use of Monitoring Technology and Curiosity about Use of the Latest Digital Technology to Keep Elderly Healthy at Home; 3) Perceived Advantages of Wearing Sensor Technology; and 4) Perceived Disadvantages of Wearing Technology. Many of the elderly participants were interested in using monitoring devices at home, particularly if not complicated. Healthcare workers found monitoring technologies particularly useful during the isolation of the COVID-19 pandemic. Elderly participants felt cost and technical issues could be barriers to using monitoring devices. CONCLUSION While there are challenges to utilizing monitoring devices, the potential to aid the aging population of Japan justifies further investigation into the effectiveness of these devices. This study was not registered with a research trial registry.
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Affiliation(s)
- Mika Tanaka
- School of Nursing, Kitasato University, Sagamihara, Kanagawa, Japan
| | - Shinobu Ishii
- School of Nursing, Kitasato University, Sagamihara, Kanagawa, Japan
| | - Akiko Matsuoka
- School of Nursing, Kitasato University, Sagamihara, Kanagawa, Japan
| | - Sachiko Tanabe
- School of Nursing, Kitasato University, Sagamihara, Kanagawa, Japan
| | - Shota Matsunaga
- Graduate School of Medical Sciences, Kitasato University, Sagamihara, Kanagawa, Japan
| | - Amir Rahmani
- Sue & Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, United States of America
| | - Nikil Dutt
- Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States of America
| | - Mahkameh Rasouli
- Sue & Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, United States of America
| | - Adeline Nyamathi
- Sue & Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, United States of America.
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Skoric J, D’Mello Y, Plant DV. A Wavelet-Based Approach for Motion Artifact Reduction in Ambulatory Seismocardiography. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE 2024; 12:348-358. [PMID: 38606390 PMCID: PMC11008810 DOI: 10.1109/jtehm.2024.3368291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 02/09/2024] [Accepted: 02/19/2024] [Indexed: 04/13/2024]
Abstract
Wearable sensing has become a vital approach to cardiac health monitoring, and seismocardiography (SCG) is emerging as a promising technology in this field. However, the applicability of SCG is hindered by motion artifacts, including those encountered in practice of which the strongest source is walking. This holds back the translation of SCG to clinical settings. We therefore investigated techniques to enhance the quality of SCG signals in the presence of motion artifacts. To simulate ambulant recordings, we corrupted a clean SCG dataset with real-walking-vibrational noise. We decomposed the signal using several empirical-mode-decomposition methods and the maximum overlap discrete wavelet transform (MODWT). By combining MODWT, time-frequency masking, and nonnegative matrix factorization, we developed a novel algorithm which leveraged the vertical axis accelerometer to reduce walking vibrations in dorsoventral SCG. The accuracy and applicability of our method was verified using heart rate estimation. We used an interactive selection approach to improve estimation accuracy. The best decomposition method for reduction of motion artifact noise was the MODWT. Our algorithm improved heart rate estimation from 0.1 to 0.8 r-squared at -15 dB signal-to-noise ratio (SNR). Our method reduces motion artifacts in SCG signals up to a SNR of -19 dB without requiring any external assistance from electrocardiography (ECG). Such a standalone solution is directly applicable to the usage of SCG in daily life, as a content-rich replacement for other wearables in clinical settings, and other continuous monitoring scenarios. In applications with higher noise levels, ECG may be incorporated to further enhance SCG and extend its usable range. This work addresses the challenges posed by motion artifacts, enabling SCG to offer reliable cardiovascular insights in more difficult scenarios, and thereby facilitating wearable monitoring in daily life and the clinic.
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Affiliation(s)
- James Skoric
- Department of Electrical and Computer EngineeringMcGill UniversityMontrealQCH3A 0E9Canada
| | - Yannick D’Mello
- Department of Electrical and Computer EngineeringMcGill UniversityMontrealQCH3A 0E9Canada
| | - David V. Plant
- Department of Electrical and Computer EngineeringMcGill UniversityMontrealQCH3A 0E9Canada
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Robinson SA, Shimada SL, Zocchi MS, Etingen B, Smith B, McMahon N, Cutrona SL, Harmon JS, Wilck NR, Hogan TP. Factors Associated with Veteran Self-Reported Use of Digital Health Devices. J Gen Intern Med 2024; 39:79-86. [PMID: 38252248 PMCID: PMC10937849 DOI: 10.1007/s11606-023-08479-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 10/12/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Digital health devices (DHDs), technologies designed to gather, monitor, and sometimes share data about health-related behaviors or symptoms, can support the prevention or management of chronic conditions. DHDs range in complexity and utility, from tracking lifestyle behaviors (e.g., pedometer) to more sophisticated biometric data collection for disease self-management (e.g., glucometers). Despite these positive health benefits, supporting adoption and sustained use of DHDs remains a challenge. OBJECTIVE This analysis examined the prevalence of, and factors associated with, DHD use within the Veterans Health Administration (VHA). DESIGN National survey. PARTICIPANTS Veterans who receive VHA care and are active secure messaging users. MAIN MEASURES Demographics, access to technology, perceptions of using health technologies, and use of lifestyle monitoring and self-management DHDs. RESULTS Among respondents, 87% were current or past users of at least one DHD, and 58% were provided a DHD by VHA. Respondents 65 + years were less likely to use a lifestyle monitoring device (AOR 0.57, 95% CI [0.39, 0.81], P = .002), but more likely to use a self-management device (AOR 1.69, 95% [1.10, 2.59], P = .016). Smartphone owners were more likely to use a lifestyle monitoring device (AOR 2.60, 95% CI [1.42, 4.75], P = .002) and a self-management device (AOR 1.83, 95% CI [1.04, 3.23], P = .037). CONCLUSIONS The current analysis describes the types of DHDs that are being adopted by Veterans and factors associated with their adoption. Results suggest that various factors influence adoption, including age, access to technology, and health status, and that these relationships may differ based on the functionalities of the device. VHA provision of devices was frequent among device users. Providing Veterans with DHDs and the training needed to use them may be important factors in facilitating device adoption. Taken together, this knowledge can inform future implementation efforts, and next steps to support patient-team decision making about DHD use.
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Affiliation(s)
- Stephanie A Robinson
- eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA.
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, Bedford, MA, USA.
- The Pulmonary Center, Boston University School of Medicine, Boston, MA, USA.
| | - Stephanie L Shimada
- eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, Bedford, MA, USA
- Department of Health Law, Policy, & Management, Boston University School of Public Health, Boston, MA, USA
- Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Mark S Zocchi
- eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, Bedford, MA, USA
- Heller School for Social Policy and Management, Brandeis University, Waltham, MA, USA
| | - Bella Etingen
- eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA
- Center of Innovation for Complex Chronic Healthcare, Hines Veterans Affairs Hospital, Hines, IL, USA
| | - Bridget Smith
- eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA
- Center of Innovation for Complex Chronic Healthcare, Hines Veterans Affairs Hospital, Hines, IL, USA
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Nicholas McMahon
- eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, Bedford, MA, USA
| | - Sarah L Cutrona
- eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, Bedford, MA, USA
- Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Julie S Harmon
- eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA
- Office of Connected Care, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA
| | - Nancy R Wilck
- eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA
- Office of Connected Care, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA
| | - Timothy P Hogan
- eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, Bedford, MA, USA
- Peter O'Donnell Jr School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
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Ramachandran M, Brinton C, Wiljer D, Upshur R, Gray CS. The impact of eHealth on relationships and trust in primary care: a review of reviews. BMC PRIMARY CARE 2023; 24:228. [PMID: 37919688 PMCID: PMC10623772 DOI: 10.1186/s12875-023-02176-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 10/11/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND Given the increasing integration of digital health technologies in team-based primary care, this review aimed at understanding the impact of eHealth on patient-provider and provider-provider relationships. METHODS A review of reviews was conducted on three databases to identify papers published in English from 2008 onwards. The impact of different types of eHealth on relationships and trust and the factors influencing the impact were thematically analyzed. RESULTS A total of 79 reviews were included. Patient-provider relationships were discussed more frequently as compared to provider-provider relationships. Communication systems like telemedicine were the most discussed type of technology. eHealth was found to have both positive and negative impacts on relationships and/or trust. This impact was influenced by a range of patient-related, provider-related, technology-related, and organizational factors, such as patient sociodemographics, provider communication skills, technology design, and organizational technology implementation, respectively. CONCLUSIONS Recommendations are provided for effective and equitable technology selection, application, and training to optimize the impact of eHealth on relationships and trust. The review findings can inform providers' and policymakers' decision-making around the use of eHealth in primary care delivery to facilitate relationship-building.
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Affiliation(s)
- Meena Ramachandran
- Bridgepoint Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health, 1 Bridgepoint Dr, Toronto, ON, M4M 2B5, Canada.
- School of Physical and Occupational Therapy, McGill University, 3654 Promenade Sir-William-Osler, Montreal, QC, H3G 1Y5, Canada.
| | - Christopher Brinton
- Bridgepoint Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health, 1 Bridgepoint Dr, Toronto, ON, M4M 2B5, Canada
- Michael G. DeGroote School of Medicine, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L8, Canada
| | - David Wiljer
- Education Technology Innovation, University Health Network, 190 Elizabeth St, Toronto, ON, M5G 2C4, Canada
- Department of Psychiatry, University of Toronto, 155 College St, Toronto, ON, M5T 3M6, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, 155 College St, Toronto, ON, M5T 3M6, Canada
- Centre for Addiction and Mental Health, 1000 Queen St W, Toronto, ON, M6J 1H4, Canada
| | - Ross Upshur
- Bridgepoint Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health, 1 Bridgepoint Dr, Toronto, ON, M4M 2B5, Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, ON, M5T 3M6, Canada
| | - Carolyn Steele Gray
- Bridgepoint Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health, 1 Bridgepoint Dr, Toronto, ON, M4M 2B5, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, 155 College St, Toronto, ON, M5T 3M6, Canada
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Chandrasekaran R, Sharma P, Moustakas E. Exploring Disparities in Healthcare Wearable Use among Cardiovascular Patients: Findings from a National Survey. Rev Cardiovasc Med 2023; 24:307. [PMID: 39076432 PMCID: PMC11272832 DOI: 10.31083/j.rcm2411307] [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: 05/18/2023] [Revised: 07/08/2023] [Accepted: 07/11/2023] [Indexed: 07/31/2024] Open
Abstract
Background Use of healthcare wearable devices holds significant potential for improving the prevention and management of cardiovascular diseases (CVD). However, we have limited knowledge on the actual use of wearable devices by CVD patients and the key factors associated with their use. This study aims to assess wearable device use and willingness to share health data among CVD patients, while identifying socio-demographic, health, and technology-related factors associated with wearable technology use. Methods Using a national survey of 933 CVD patients, we assess use of wearable healthcare devices (use, frequency of use and willingness to share health data from wearable with a provider), and a set of socio-demographic factors (age, gender, race, education and household income), health-related variables (general health, presence of comorbid conditions: diabetes and high blood pressure, attitude towards exercise) and technology self-efficacy using logistic regression. Results Of the 933 CVD patients, 18.34% reported using a healthcare wearable device in the prior 12 months. Of those, 41.92% indicated using it every day and another 19.76% indicated using it 'almost every day'. 83.54% of wearable users indicated their willingness to share health data with their healthcare providers. Female CVD patients are more likely to use wearables compared to men (odds ratio (OR) = 1.65, 95% confidence interval (CI) = 1.04-2.63). The odds decrease with age, and are significantly high in patients with higher income levels. In comparison with non-Hispanic White, Hispanic (OR = 0.14, 95% CI = 0.03-0.70) and African Americans (OR = 0.17, 95% CI = 0.04-0.86) are less likely to use healthcare wearables. CVD patients who perceive their general health to be better (OR = 1.45, 95% CI = 1.11-1.89) and those who enjoy exercising (OR = 1.76, 95% CI = 1.22-2.55) are more likely to use wearables. CVD patients who use the internet for searching for medical information (OR = 2.10, 95% CI = 1.17-3.77) and those who use electronic means to make appointments with their providers (OR = 2.35, 95% CI = 1.48-3.74) are more inclined to use wearables. Conclusions Addressing low wearable device usage among CVD patients requires targeted policy interventions to ensure equitable access. Variations in gender, age, race/ethnicity, and income levels emphasize the need for tailored strategies. Technological self-efficacy, positive health perceptions, and exercise enjoyment play significant roles in promoting wearable use. These insights should guide healthcare leaders in designing effective strategies for integrating wearables into cardiovascular care.
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Affiliation(s)
| | - Pratik Sharma
- Department of Information & Decision Sciences, University of Illinois at
Chicago, IL 60607, USA
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11
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Masterson Creber R, Dodson JA, Bidwell J, Breathett K, Lyles C, Harmon Still C, Ooi SY, Yancy C, Kitsiou S. Telehealth and Health Equity in Older Adults With Heart Failure: A Scientific Statement From the American Heart Association. Circ Cardiovasc Qual Outcomes 2023; 16:e000123. [PMID: 37909212 DOI: 10.1161/hcq.0000000000000123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Enhancing access to care using telehealth is a priority for improving outcomes among older adults with heart failure, increasing quality of care, and decreasing costs. Telehealth has the potential to increase access to care for patients who live in underresourced geographic regions, have physical disabilities or poor access to transportation, and may not otherwise have access to cardiologists with expertise in heart failure. During the COVID-19 pandemic, access to telehealth expanded, and yet barriers to access, including broadband inequality, low digital literacy, and structural barriers, prevented many of the disadvantaged patients from getting equitable access. Using a health equity lens, this scientific statement reviews the literature on telehealth for older adults with heart failure; provides an overview of structural, organizational, and personal barriers to telehealth; and presents novel interventions that pair telemedicine with in-person services to mitigate existing barriers and structural inequities.
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de Bell S, Zhelev Z, Shaw N, Bethel A, Anderson R, Thompson Coon J. Remote monitoring for long-term physical health conditions: an evidence and gap map. HEALTH AND SOCIAL CARE DELIVERY RESEARCH 2023; 11:1-74. [PMID: 38014553 DOI: 10.3310/bvcf6192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Background Remote monitoring involves the measurement of an aspect of a patient's health without that person being seen face to face. It could benefit the individual and aid the efficient provision of health services. However, remote monitoring can be used to monitor different aspects of health in different ways. This evidence map allows users to find evidence on different forms of remote monitoring for different conditions easily to support the commissioning and implementation of interventions. Objectives The aim of this map was to provide an overview of the volume, diversity and nature of recent systematic reviews on the effectiveness, acceptability and implementation of remote monitoring for adults with long-term physical health conditions. Data sources We searched MEDLINE, nine further databases and Epistemonikos for systematic reviews published between 2018 and March 2022, PROSPERO for continuing reviews, and completed citation chasing on included studies. Review methods (Study selection and Study appraisal): Included systematic reviews focused on adult populations with a long-term physical health condition and reported on the effectiveness, acceptability or implementation of remote monitoring. All forms of remote monitoring where data were passed to a healthcare professional as part of the intervention were included. Data were extracted on the characteristics of the remote monitoring intervention and outcomes assessed in the review. AMSTAR 2 was used to assess quality. Results were presented in an interactive evidence and gap map and summarised narratively. Stakeholder and public and patient involvement groups provided feedback throughout the project. Results We included 72 systematic reviews. Of these, 61 focus on the effectiveness of remote monitoring and 24 on its acceptability and/or implementation, with some reviews reporting on both. The majority contained studies from North America and Europe (38 included studies from the United Kingdom). Patients with cardiovascular disease, diabetes and respiratory conditions were the most studied populations. Data were collected predominantly using common devices such as blood pressure monitors and transmitted via applications, websites, e-mail or patient portals, feedback provided via telephone call and by nurses. In terms of outcomes, most reviews focused on physical health, mental health and well-being, health service use, acceptability or implementation. Few reviews reported on less common conditions or on the views of carers or healthcare professionals. Most reviews were of low or critically low quality. Limitations Many terms are used to describe remote monitoring; we searched as widely as possible but may have missed some relevant reviews. Poor reporting of remote monitoring interventions may mean some included reviews contain interventions that do not meet our definition, while relevant reviews might have been excluded. This also made the interpretation of results difficult. Conclusions and future work The map provides an interactive, visual representation of evidence on the effectiveness of remote monitoring and its acceptability and successful implementation. This evidence could support the commissioning and delivery of remote monitoring interventions, while the limitations and gaps could inform further research and technological development. Future reviews should follow the guidelines for conducting and reporting systematic reviews and investigate the application of remote monitoring in less common conditions. Review registration A protocol was registered on the OSF registry (https://doi.org/10.17605/OSF.IO/6Q7P4). Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health Services and Delivery Research programme (NIHR award ref: NIHR135450) as part of a series of evidence syntheses under award NIHR130538. For more information, visit https://fundingawards.nihr.ac.uk/award/NIHR135450 and https://fundingawards.nihr.ac.uk/award/NIHR130538. The report is published in full in Health and Social Care Delivery Research; Vol. 11, No. 22. See the NIHR Funding and Awards website for further project information.
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Affiliation(s)
- Siân de Bell
- Exeter HS&DR Evidence Synthesis Centre, Department of Health and Community Sciences, Medical School, University of Exeter, Exeter, UK
| | - Zhivko Zhelev
- Exeter HS&DR Evidence Synthesis Centre, Department of Health and Community Sciences, Medical School, University of Exeter, Exeter, UK
| | - Naomi Shaw
- Exeter HS&DR Evidence Synthesis Centre, Department of Health and Community Sciences, Medical School, University of Exeter, Exeter, UK
| | - Alison Bethel
- Exeter HS&DR Evidence Synthesis Centre, Department of Health and Community Sciences, Medical School, University of Exeter, Exeter, UK
| | - Rob Anderson
- Exeter HS&DR Evidence Synthesis Centre, Department of Health and Community Sciences, Medical School, University of Exeter, Exeter, UK
| | - Jo Thompson Coon
- Exeter HS&DR Evidence Synthesis Centre, Department of Health and Community Sciences, Medical School, University of Exeter, Exeter, UK
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White M, Pizzetta C, Davidson E, Hines A, Azevedo M, Ikem F, Jones LM, Malone S, Berhie G. Mississippi church leaders' perceptions of challenges and barriers to the use of consumer wearables among community members. AIMS Public Health 2023; 10:775-790. [PMID: 38187904 PMCID: PMC10764966 DOI: 10.3934/publichealth.2023052] [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: 06/14/2023] [Revised: 07/25/2023] [Accepted: 08/09/2023] [Indexed: 01/09/2024] Open
Abstract
Background Wearables have begun to play a transformative role in health management and disease prevention. Objective This study examined the use of wearable devices in African American communities in Mississippi, USA, through the lens of church leaders. Methods We conducted focus groups with church leaders to record their perceptions about the use of wearables of their community members. We conducted six focus groups with a total of 89 church leaders from across the state of Mississippi. The focus groups were designed to contextualize and explain the socio-cognitive processes that provided an understanding of wearable device adoption practices among community members. Participants were male and female church leaders who were recruited from the three Mississippi Districts. The church leaders' perceptions of barriers and challenges to the adoption of consumer wearables in their communities were thoroughly analyzed using thematic analysis. Results There was great apprehension on the part of community members about the security of the information they entered into the wearable devices and about how that information could be used by other parties. Many community members who understood the value of proactive health behaviors could not afford the high cost of purchasing wearable devices, while others displayed a low level of comfort with technology, believing that wearable use was for younger people. Conclusion More expansive adoption of wearable devices in Mississippi will depend on the ability of the public health professionals, policy-makers and manufacturers to address the barriers that were identified by this study, thereby enabling the community to have full access to the potential benefits of these technologies.
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Affiliation(s)
- Monique White
- Public Health, Informatics, and Technology, College of Health Sciences, Jackson State University, Jackson, MS, USA
| | - Candis Pizzetta
- Department of English, Foreign Languages, and Speech Communication, College of Liberal Arts, Jackson State University, Jackson, MS, USA
| | - Edith Davidson
- Department of Business Administration, College of Business Administration, Jackson State University, Jackson, MS, USA
| | - Andre Hines
- Department of Public Policy & Administration, College of Liberal Arts, Jackson State University, Jackson, MS, USA
| | - Mario Azevedo
- Department of History and Philosophy, College of Liberal Arts, Jackson State University, Jackson, MS, USA
| | - Fidelis Ikem
- Department of Business Administration, College of Business Administration, Jackson State University, Jackson, MS, USA
| | - Lena M. Jones
- Department of Public Policy & Administration, College of Liberal Arts, Jackson State University, Jackson, MS, USA
| | - Shelia Malone
- Department of Epidemiology and Biostatistics, College of Health Sciences, Jackson State University, Jackson, MS, USA
| | - Girmay Berhie
- Public Health, Informatics, and Technology, College of Health Sciences, Jackson State University, Jackson, MS, USA
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El-Toukhy S, Pike JR, Zuckerman G, Hegeman P. Decision Trade-Offs in Ecological Momentary Assessments and Digital Wearables Uptake: Protocol for a Discrete Choice Experiment. JMIR Res Protoc 2023; 12:e47567. [PMID: 37747771 PMCID: PMC10562974 DOI: 10.2196/47567] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/05/2023] [Accepted: 08/07/2023] [Indexed: 09/26/2023] Open
Abstract
BACKGROUND Ecological momentary assessments (EMAs) and digital wearables (DW) are commonly used remote monitoring technologies that capture real-time data in people's natural environments. Real-time data are core to personalized medical care and intensively adaptive health interventions. The utility of such personalized care is contingent on user uptake and continued use of EMA and DW. Consequently, it is critical to understand user preferences that may increase the uptake of EMA and DW. OBJECTIVE The study aims to quantify users' preferences of EMA and DW, examine variations in users' preferences across demographic and behavioral subgroups, and assess the association between users' preferences and intentions to use EMA and DW. METHODS We will administer 2 discrete choice experiments (DCEs) paired with self-report surveys on the internet to a total of 3260 US adults through Qualtrics. The first DCE will assess participants' EMA preferences using a choice-based conjoint design that will ask participants to compare the relative importance of prompt frequency, number of questions per prompt, prompt type, health topic, and assessment duration. The second DCE will measure participants' DW preferences using a maximum difference scaling design that will quantify the relative importance of device characteristics, effort expectancy, social influence, and facilitating technical, health care, and market factors. Hierarchical Bayesian multinomial logistic regression models will be used to generate subject-specific preference utilities. Preference utilities will be compared across demographic (ie, sex, age, race, and ethnicity) and behavioral (ie, substance use, physical activity, dietary behavior, and sleep duration) subgroups. Regression models will determine whether specific utilities are associated with attitudes toward or intentions to use EMA and DW. Mixture models will determine the associations of attitudes toward and intentions to use EMA and DW with latent profiles of user preferences. RESULTS The institutional review board approved the study on December 19, 2022. Data collection started on January 20, 2023, and concluded on May 4, 2023. Data analysis is currently underway. CONCLUSIONS The study will provide evidence on users' preferences of EMA and DW features that can improve initial uptake and potentially continued use of these remote monitoring tools. The sample size and composition allow for subgroup analysis by demographics and health behaviors and will provide evidence on associations between users' preferences and intentions to uptake EMA and DW. Limitations include the cross-sectional nature of the study, which limits our ability to measure direct behavior. Rather, we capture behavioral intentions for EMA and DW uptake. The nonprobability sample limits the generalizability of the results and introduces self-selection bias related to the demographic and behavioral characteristics of participants who belong to web-based survey panels. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/47567.
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Affiliation(s)
- Sherine El-Toukhy
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Rockville, MD, United States
| | - James Russell Pike
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Gabrielle Zuckerman
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Rockville, MD, United States
| | - Phillip Hegeman
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Rockville, MD, United States
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Paulauskaite-Taraseviciene A, Siaulys J, Sutiene K, Petravicius T, Navickas S, Oliandra M, Rapalis A, Balciunas J. Geriatric Care Management System Powered by the IoT and Computer Vision Techniques. Healthcare (Basel) 2023; 11:1152. [PMID: 37107987 PMCID: PMC10138364 DOI: 10.3390/healthcare11081152] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/03/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
The digitalisation of geriatric care refers to the use of emerging technologies to manage and provide person-centered care to the elderly by collecting patients' data electronically and using them to streamline the care process, which improves the overall quality, accuracy, and efficiency of healthcare. In many countries, healthcare providers still rely on the manual measurement of bioparameters, inconsistent monitoring, and paper-based care plans to manage and deliver care to elderly patients. This can lead to a number of problems, including incomplete and inaccurate record-keeping, errors, and delays in identifying and resolving health problems. The purpose of this study is to develop a geriatric care management system that combines signals from various wearable sensors, noncontact measurement devices, and image recognition techniques to monitor and detect changes in the health status of a person. The system relies on deep learning algorithms and the Internet of Things (IoT) to identify the patient and their six most pertinent poses. In addition, the algorithm has been developed to monitor changes in the patient's position over a longer period of time, which could be important for detecting health problems in a timely manner and taking appropriate measures. Finally, based on expert knowledge and a priori rules integrated in a decision tree-based model, the automated final decision on the status of nursing care plan is generated to support nursing staff.
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Affiliation(s)
| | - Julius Siaulys
- Faculty of Informatics, Kaunas University of Technology, Studentu 50, 51368 Kaunas, Lithuania
| | - Kristina Sutiene
- Department of Mathematical Modeling, Kaunas University of Technology, Studentu 50, 51368 Kaunas, Lithuania
| | - Titas Petravicius
- Faculty of Informatics, Kaunas University of Technology, Studentu 50, 51368 Kaunas, Lithuania
| | - Skirmantas Navickas
- Faculty of Informatics, Kaunas University of Technology, Studentu 50, 51368 Kaunas, Lithuania
| | - Marius Oliandra
- Faculty of Informatics, Kaunas University of Technology, Studentu 50, 51368 Kaunas, Lithuania
| | - Andrius Rapalis
- Biomedical Engineering Institute, Kaunas University of Technology, K. Barsausko 59, 51423 Kaunas, Lithuania
- Faculty of Electrical and Electronics Engineering, Kaunas University of Technology, Studentu 48, 51367 Kaunas, Lithuania
| | - Justinas Balciunas
- Faculty of Medicine, Vilnius University, Universiteto 3, 01513 Vilnius, Lithuania
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Joseph T, Barrie M, Karimi A, Haque S, Ogunmwonyi I, Ojha U. Contemporary Considerations in the Evolution of Wearable Technology for Arrhythmia Detection. Curr Cardiol Rev 2023; 19:93-99. [PMID: 37697927 PMCID: PMC10636792 DOI: 10.2174/1573403x19666230811093048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 04/18/2023] [Accepted: 06/13/2023] [Indexed: 09/13/2023] Open
Abstract
Arrhythmias are an increasingly common cause of hospital admissions worldwide. Late detection of arrhythmias is associated with a significantly increased risk of cardiovascular complications. Early identification and management of life-threatening arrhythmias is paramount to reduce mortality. Wearable technologies are now widespread among the general population, providing a continuous output of healthcare data. However, this data are not routinely integrated into clinical practice. Here, we begin by outlining the current landscape in wearable technology for aiding arrhythmia detection; we then consider the clinical impact of wearable technology for both clinicians and patients; we further highlight the latest and emerging trials in wearable technology for arrhythmia detection and finally postulate the wider implications of the expansion of such cardiac devices.
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Affiliation(s)
- Tobin Joseph
- Department of Acute Medicine, Hillingdon Hospital, Uxbridge, United Kingdom
| | - Mahmoud Barrie
- School of Medicine, Imperial College London, London, United Kingdom
| | - Akbar Karimi
- Department of Acute Medicine, Hillingdon Hospital, Uxbridge, United Kingdom
| | - Sharmi Haque
- Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Innocent Ogunmwonyi
- Department of Medicine, Darent Valley Hospital, Dartford, Kent, United Kingdom
| | - Utkarsh Ojha
- Chelsea and Westminster Hospital, London, United Kingdom
- Royal Brompton and Harefield Hospital, Harefield Hospital, London, United Kingdom
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Kulkarni P, Kirkham R, McNaney R. Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review. SENSORS (BASEL, SWITZERLAND) 2022; 22:3893. [PMID: 35632301 PMCID: PMC9147201 DOI: 10.3390/s22103893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 05/16/2022] [Accepted: 05/19/2022] [Indexed: 12/10/2022]
Abstract
Recent years have seen significant advances in the sensing capabilities of smartphones, enabling them to collect rich contextual information such as location, device usage, and human activity at a given point in time. Combined with widespread user adoption and the ability to gather user data remotely, smartphone-based sensing has become an appealing choice for health research. Numerous studies over the years have demonstrated the promise of using smartphone-based sensing to monitor a range of health conditions, particularly mental health conditions. However, as research is progressing to develop the predictive capabilities of smartphones, it becomes even more crucial to fully understand the capabilities and limitations of using this technology, given its potential impact on human health. To this end, this paper presents a narrative review of smartphone-sensing literature from the past 5 years, to highlight the opportunities and challenges of this approach in healthcare. It provides an overview of the type of health conditions studied, the types of data collected, tools used, and the challenges encountered in using smartphones for healthcare studies, which aims to serve as a guide for researchers wishing to embark on similar research in the future. Our findings highlight the predominance of mental health studies, discuss the opportunities of using standardized sensing approaches and machine-learning advancements, and present the trends of smartphone sensing in healthcare over the years.
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Affiliation(s)
- Pranav Kulkarni
- Department of Human Centered Computing, Faculty of IT, Monash University, Clayton, VIC 3168, Australia; (R.K.); (R.M.)
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Prieto-Avalos G, Cruz-Ramos NA, Alor-Hernández G, Sánchez-Cervantes JL, Rodríguez-Mazahua L, Guarneros-Nolasco LR. Wearable Devices for Physical Monitoring of Heart: A Review. BIOSENSORS 2022; 12:292. [PMID: 35624593 PMCID: PMC9138373 DOI: 10.3390/bios12050292] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 04/27/2022] [Accepted: 04/29/2022] [Indexed: 12/19/2022]
Abstract
Cardiovascular diseases (CVDs) are the leading cause of death globally. An effective strategy to mitigate the burden of CVDs has been to monitor patients' biomedical variables during daily activities with wearable technology. Nowadays, technological advance has contributed to wearables technology by reducing the size of the devices, improving the accuracy of sensing biomedical variables to be devices with relatively low energy consumption that can manage security and privacy of the patient's medical information, have adaptability to any data storage system, and have reasonable costs with regard to the traditional scheme where the patient must go to a hospital for an electrocardiogram, thus contributing a serious option in diagnosis and treatment of CVDs. In this work, we review commercial and noncommercial wearable devices used to monitor CVD biomedical variables. Our main findings revealed that commercial wearables usually include smart wristbands, patches, and smartwatches, and they generally monitor variables such as heart rate, blood oxygen saturation, and electrocardiogram data. Noncommercial wearables focus on monitoring electrocardiogram and photoplethysmography data, and they mostly include accelerometers and smartwatches for detecting atrial fibrillation and heart failure. However, using wearable devices without healthy personal habits will cause disappointing results in the patient's health.
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Affiliation(s)
- Guillermo Prieto-Avalos
- Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico; (G.P.-A.); (N.A.C.-R.); (L.R.-M.); (L.R.G.-N.)
| | - Nancy Aracely Cruz-Ramos
- Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico; (G.P.-A.); (N.A.C.-R.); (L.R.-M.); (L.R.G.-N.)
| | - Giner Alor-Hernández
- Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico; (G.P.-A.); (N.A.C.-R.); (L.R.-M.); (L.R.G.-N.)
| | - José Luis Sánchez-Cervantes
- CONACYT-Tecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico;
| | - Lisbeth Rodríguez-Mazahua
- Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico; (G.P.-A.); (N.A.C.-R.); (L.R.-M.); (L.R.G.-N.)
| | - Luis Rolando Guarneros-Nolasco
- Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico; (G.P.-A.); (N.A.C.-R.); (L.R.-M.); (L.R.G.-N.)
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Design of a Planner-Based Intervention to Facilitate Diet Behaviour Change in Type 2 Diabetes. SENSORS 2022; 22:s22072795. [PMID: 35408411 PMCID: PMC9002653 DOI: 10.3390/s22072795] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 03/28/2022] [Accepted: 03/29/2022] [Indexed: 11/17/2022]
Abstract
Diet behaviour is influenced by the interplay of the physical and social environment as well as macro-level and individual factors. In this study, we focus on diet behaviour at an individual level and describe the design of a behaviour change artefact to support diet behaviour change in persons with type 2 diabetes. This artefact was designed using a human-centred design methodology and the Behaviour Change Wheel framework. The designed artefact sought to support diet behaviour change through the addition of healthy foods and the reduction or removal of unhealthy foods over a 12-week period. These targeted behaviours were supported by the enabling behaviours of water consumption and mindfulness practice. The artefact created was a behaviour change planner in calendar format, that incorporated behaviour change techniques and which focused on changing diet behaviour gradually over the 12-week period. The behaviour change planner forms part of a behaviour change intervention which also includes a preparatory workbook exercise and one-to-one action planning sessions and can be customised for each participant.
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Zambelli Z, Jakobsson CE, Threadgold L, Fidalgo AR, Halstead EJ, Dimitriou D. Exploring the feasibility and acceptability of a sleep wearable headband among a community sample of chronic pain individuals: An at-home observational study. Digit Health 2022; 8:20552076221097504. [PMID: 35574578 PMCID: PMC9102155 DOI: 10.1177/20552076221097504] [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] [Received: 01/12/2022] [Revised: 03/29/2022] [Accepted: 04/12/2022] [Indexed: 11/22/2022] Open
Abstract
Background Chronic pain conditions affect up to one third of the adult population in the United Kingdom. Sleep problems are prevalent and negatively impact quality of life. Lack of standardised tools for routine screening and assessment of sleep changes have been a barrier for sleep management. Novel sleep wearables offer an exciting and accessible way to measure sleep but have not been tested outside of the consumer-led landscape and are not commonly used in research and clinical settings. Aims The study aimed to explore the feasibility and acceptability of a sleep monitoring headband (Dreem 2) utilising EEG technology and accompanying smartphone application among a cohort of adults with chronic pain. Results Twenty-one adults (81% women) completed a one-week home sleep study using a sleep headband and accompanying app. Ninety per cent of participants met the pre-defined requirement of two-night's sleep recording. All participants recorded one night of sleep data via the sleep headband. The majority (76%) of participants were satisfied with the sleep study, and 86% of participants were willing to wear the headband longer than the 2-night minimum requirement. Finally, 76% reported the headband as 'somewhat' or 'extremely' comfortable whist awake; 57% rated the headband as comfortable during sleep. Conclusion The Dreem 2 headband appears to be a feasible and acceptable means of collecting sleep measurements among individuals with chronic pain, despite common sleep disturbances. These devices may have utility for screening, assessment and monitoring in research and practice. Further research is needed to provide guidelines and training for integration.
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Affiliation(s)
- Zoe Zambelli
- Sleep Education and Research Laboratory, Psychology and Human Development, UCL-Institute of Education, London, WC1H 0AA, UK
| | - Cecilia E. Jakobsson
- Sleep Education and Research Laboratory, Psychology and Human Development, UCL-Institute of Education, London, WC1H 0AA, UK
| | - Laura Threadgold
- Sleep Education and Research Laboratory, Psychology and Human Development, UCL-Institute of Education, London, WC1H 0AA, UK
| | | | - Elizabeth J. Halstead
- Sleep Education and Research Laboratory, Psychology and Human Development, UCL-Institute of Education, London, WC1H 0AA, UK
| | - Dagmara Dimitriou
- Sleep Education and Research Laboratory, Psychology and Human Development, UCL-Institute of Education, London, WC1H 0AA, UK
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