A longitudinal examination of tablet self-management technology acceptance by patients with chronic diseases: Integrating perceived hand function, perceived visual function, and perceived home space adequacy with the TAM and TPB

2022 ◽  
Vol 100 ◽  
pp. 103667
Author(s):  
Kaifeng Liu ◽  
Calvin Kalun Or ◽  
Mike So ◽  
Bernard Cheung ◽  
Bill Chan ◽  
...  
Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 889
Author(s):  
Jeban Chandir Moses ◽  
Sasan Adibi ◽  
Sheikh Mohammed Shariful ◽  
Nilmini Wickramasinghe ◽  
Lemai Nguyen

Technologies play an essential role in monitoring, managing, and self-management of chronic diseases. Since chronic patients rely on life-long healthcare systems and the current COVID-19 pandemic has placed limits on hospital care, there is a need to explore disease monitoring and management technologies and examine their acceptance by chronic patients. We systematically examined the use of smartphone applications (apps) in chronic disease monitoring and management in databases, namely, Medline, Web of Science, Embase, and Proquest, published from 2010 to 2020. Results showed that app-based weight management programs had a significant effect on healthy eating and physical activity (p = 0.002), eating behaviours (p < 0.001) and dietary intake pattern (p < 0.001), decreased mean body weight (p = 0.008), mean Body Mass Index (BMI) (p = 0.002) and mean waist circumference (p < 0.001). App intervention assisted in decreasing the stress levels (paired t-test = 3.18; p < 0.05). Among cancer patients, we observed a high acceptance of technology (76%) and a moderately positive correlation between non-invasive electronic monitoring data and questionnaire (r = 0.6, p < 0.0001). We found a significant relationship between app use and standard clinical evaluation and high acceptance of the use of apps to monitor the disease. Our findings provide insights into critical issues, including technology acceptance along with regulatory guidelines to be considered when designing, developing, and deploying smartphone solutions targeted for chronic patients.


2021 ◽  
pp. 1-21
Author(s):  
Maurita T. Harris ◽  
Wendy A. Rogers

Abstract Older adults with a chronic health condition (e.g. hypertension) use various self-management methods. Healthcare technologies have the potential to support health self-management. However, it is necessary to understand the acceptance of these technologies as a precursor to older adults’ adoption and integration into their health plan. Our focus was on the factors older adults with hypertension initially consider when introduced to three new healthcare technologies that might support their health self-management. We compared their considerations for a blood pressure monitor, an electronic pillbox and a multifunction robot to simulate incrementally more complex technologies. Twenty-three participants (aged 65–84) completed four questionnaires and a semi-structured interview. The interview transcripts were analysed using a thematic analysis approach. We identified the factors that were frequently mentioned among the participants for each of the three healthcare technologies. The factors that older adults initially considered were familiarity, perceived benefits, perceived ease of use, perceived need for oneself, relative advantage, complexity and perceived need for others. Upon further reflection, participants considered advice acceptance, compatibility, convenience, facilitating conditions, perceived usefulness, privacy, subjective norm, and trust. We integrated the factors that older adults considered into the Healthcare Technology Acceptance Model (H-TAM), which elucidates the complexity of healthcare technology acceptance and provides guidance for future explorations.


2021 ◽  
pp. 136749352110136
Author(s):  
Logan J Camp-Spivey ◽  
Ayaba Logan ◽  
Michelle Nichols

The primary aim of this integrative review was to critically evaluate and synthesize published, peer-reviewed research to better understand self-management strategies of children and adolescents with chronic diseases. This review was guided by Whittemore and Knafl’s methodological framework. The Pediatric Self-management Model provided the theoretical framework for understanding how self-management behaviors operate within the domains of individual, family, community, and healthcare systems. In June 2019, the electronic databases of EBSCOhost, PubMed, and Scopus, along with reference lists of applicable studies, were searched for appropriate publications. The initial searches yielded 920 citations. Of these, 11 studies met inclusion criteria. A key finding was that involving children and adolescents in the design and delivery phases of interventions was most effective in improving self-management when the interventions did not outweigh cognitive ability or maturity level. In addition, incorporating self-efficacy promotion into self-management interventions may lead to greater sense of responsibility and improved health outcomes. In terms of intervention delivery of self-management strategies, the use of technological platforms and devices was revealed as a promising avenue for youth. A final implication was the importance of family members, peers, and healthcare providers in supporting children and adolescents in adopting self-management behaviors.


2009 ◽  
pp. 2550-2555 ◽  
Author(s):  
Surajit Chaudhuri ◽  
Gerhard Weikum

2015 ◽  
Author(s):  
◽  
Kyung Jung Han

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The purpose of the overall study was to explore more effective ways of creating tailored health messages for technology-based interventions in order to help self-management of chronic diseases. The overall study is twofold: Study 1 -- systematic review and Study 2 -- experimental study. Conducting Study 1 -- review study -- has shed light on the current status of research on technology-based interventions for managing chronic diseases. Specifically, the study considered methodological quality and features of interventions as indices in order to improve the effectiveness of the technology-based interventions for chronic diseases. Accordingly, given personal value orientation and freedom threat, Study 2 investigated these as potential elements to be included in tailored health messages and leading to more or less persuasive effects for self-management. It examined whether invoking an individual’s personal value orientation between two extreme value orientations--self-enhancement and self-transcendence--and threatening an individual’s freedom in health news messages on diabetes can cause psychological reactance and affect compliance with suggested health behaviors. The details of each study will be explained.


Author(s):  
Harald Reiter ◽  
Joerg Habetha

Personal healthcare enables prevention and early diagnosis in daily life and is centered on the patient. There is a need for a new personal healthcare paradigm in the treatment of chronic diseases. This will be achieved by new technologies that are currently explored (e.g., in European Research projects such as MyHeart and HeartCycle). These projects develop technologies and application concepts for the (self-)management of chronic diseases in patients’ homes with special emphasis on usability and ease-of-use (e.g., wearable sensors and processing units that can even be integrated into the patient’s clothes). These technologies allow empowering patients, fostering self-management and therefore reducing cost, and improving patients’ quality of life.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Bronte Jeffrey ◽  
Melina Bagala ◽  
Ashley Creighton ◽  
Tayla Leavey ◽  
Sarah Nicholls ◽  
...  

Abstract Background Mobile phone applications (apps) have been shown to successfully facilitate the self-management of chronic disease. This study aims to evaluate firstly the experiences, barriers and facilitators to app usage among people with Type 2 Diabetes Mellitus (T2DM) and secondly determine recommendations to improve usage of diabetes apps. Methods Participants were aged ≥ 18 years with a diagnosis of T2DM for ≥ 6 months. Semi-structured phone-interviews were conducted with 16 app and 14 non-app users. Interviews were based on the Technology Acceptance Model, Health Information Technology Acceptance Model (HITAM) and the Mobile Application Rating Scale. Data were analysed using deductive content analysis. Results Most app-users found apps improved their T2DM self-management and health. The recommendation of apps by health professionals, as well as positive interactions with them, improved satisfaction; however, only a minority of patients had practitioners involved in their app use. All non-app users had never had the concept discussed with them by a health professional. Facilitators to app use included the visual representation of trends, intuitive navigation and convenience (for example, discretion and portability). Barriers to app use were participant’s lack of knowledge and awareness of apps as healthcare tools, perceptions of disease severity, technological and health literacy or practical limitations such as rural connectivity. Factors contributing to app use were classified into a framework based on the Health Belief Model and HITAM. Recommendations for future app design centred on educational features, which were currently lacking (e.g. diabetes complications, including organ damage and hypoglycaemic episodes), monitoring and tracking features (e.g. blood glucose level monitoring with trends and dynamic tips and comorbidities) and nutritional features (e.g. carbohydrate counters). Medication reminders were not used by participants. Lastly, participants felt that receiving weekly text-messaging relating to their self-management would be appropriate. Conclusions The incorporation of user-centred features, which engage T2DM consumers in self-management tasks, can improve health outcomes. The findings may guide app developers and entrepreneurs in improving app design and usability. Given self-management is a significant factor in glycaemic control, these findings are significant for GPs, nurse practitioners and allied health professionals who may integrate apps into a holistic management plan which considers strategies outside the clinical environment.


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