Examining the Adoption and Implementation of Behavioral Electronic Health Records by Healthcare Professionals Based on the Clinical Adoption Framework (Preprint)

2020 ◽  
Author(s):  
Sooyoung Yoo ◽  
Kahyun Lim ◽  
Se Young Jung ◽  
Keehyuck Lee ◽  
Donghyun Lee ◽  
...  

BACKGROUND The US Health Information Technology for Economic and Clinical Health Act of 2009, which was intended to stimulate the use of electronic health record (EHR) systems, has been amended to cover the behavioral health sector. Consequently, there is an increased need for research on the adoption of behavioral EHR systems by healthcare professionals. Various quantitative studies based on the unified theory of acceptance and use of technology model and technology acceptance model have been conducted in the general medical sectors, but few studies have been conducted in the behavioral sector and they have all been interview-based qualitative studies. OBJECTIVE To evaluate the adoption and implementation of a behavioral EHR system for behavioral clinical professionals through a modified clinical adoption (CA) research model quantitative study. METHODS We modified the existing CA framework to be suitable for evaluating the adoption of the EHR system by behavioral clinical professionals. The existing CA framework did not present questionnaire items. Accordingly, we designed a questionnaire with items that fit into the dimensions of the CA framework and it was verified through the review of behavioral clinical professionals and a pre-survey. The full-scale survey was administered in 5 US behavioral hospitals. The data were analyzed using a structural equation analysis. Additionally, open-ended question responses were qualitatively analyzed. RESULTS We derived a total of 7 dimensions, excluding dimensions that were evaluated as inappropriate for behavioral clinical professionals to respond. In addition, for 2 dimensions, 2 sub-dimensions were classified. A total of 409 behavioral clinical experts from 5 hospitals were surveyed. The ease of use and organizational support significantly influenced the use of the behavioral EHR system. Although the results were not significant, information quality (path coefficient=1.19, P>.05) and service quality (path coefficient=.085, P>.05) tended to influence the ease of use of the system. And Ease of Use (path coefficient=.253, P<.05) and the Organization (path coefficient=.802, P<.05) influenced the use of the system. The qualitative results indicated that the greatest advantage of the adoption of the behavioral EHR system was the ability to search for information quickly, work efficiently, and access patient information even outside of the hospital through the mobile app, resulting in having more time with patients. Conversely, the greatest disadvantage was an overdependence on the EHR system. Many staff members voiced concerns that their work could be paralyzed when the system was unstable. CONCLUSIONS This study designed a model for evaluating behavioral EHR adoption and conducted a quantitative study to derive the factors associated with the successful introduction of an EHR system in a behavioral environment. CLINICALTRIAL The study was approved by the Institutional Review Board of Seoul National University Bundang Hospital (SNUBH) (IRB No.: B-1904-534-301).

2020 ◽  
Author(s):  
Jason R. Bobe ◽  
Jessica K. De Freitas ◽  
Benjamin S. Glicksberg

AbstractBackgroundN-of-1 trials are single patient, multiple crossover, comparative effectiveness experiments. Despite their rating as “level 1” evidence, they are not routinely used in clinical medicine to evaluate the effectiveness of treatments.ObjectiveWe explored the potential for implementing a mobile app-based n-of-1 trial platform for collaborative use by clinicians and patients to support data-driven decisions around the treatment of insomnia.MethodsA survey assessing awareness and utilization of n-of-1 trials was administered to healthcare professionals that frequently treat patients with insomnia at the Icahn School of Medicine at Mount Sinai in New York City. 1M electronic health records were analyzed to evaluate evidence for a comorbid relationship between insomnia and dementia or Alzheimer’s disease among a patient population that may benefit from n-of-1 trials for the selection of optimal sleep treatments.ResultsA total of 45 healthcare professionals completed the survey and were included in the analysis. We found that 64% of healthcare professionals surveyed had not heard of n-of-1 trials. After a brief description of these methods, 75% of healthcare professionals reported that they are likely or highly likely to use an app-based n-of-1 trial at least once in the next year if the service were free and easy to offer to their patients.ConclusionsAn app-based n-of-1 trials platform might be a valuable tool for clinicians and patients to identify the best treatments for insomnia. Educational interventions that raise awareness and provide training are also likely necessary. The electronic health record (EHR) may help identify eligible patients.


2020 ◽  
Author(s):  
Younghee Cho ◽  
Mihui Kim ◽  
Mona Choi

BACKGROUND Electronic health record (EHR) systems often face user resistance in hospitals, which results in a failure to acquire the full benefits of EHR systems. It is crucial to reduce nurses’ resistance to use the EHR to implement the system successfully. OBJECTIVE This study aimed to investigate the factors associated with nurses’ resistance to use the EHR system. METHODS A descriptive correlational study was conducted on nurses working at four university hospitals implementing a new EHR within 2 years. Path analysis was performed with seven factors affecting user resistance behavior. RESULTS All seven factors were found to be significantly associated with user resistance, whether directly or indirectly. The total effect on user resistance behavior was highest in resistance to change (0.65), followed by perceived usefulness (-0.33), which both have direct but no indirect effects. Conversely, Self-efficacy (-0.25), perceived value (-0.21), colleagues’ opinion (-0.16), perceived ease of use (-0.16), and organizational support (-0.05) were found to have indirect but no direct effects. CONCLUSIONS The study explored the factors affecting nurses’ user resistance behavior after the implementation of a new EHR system. These findings could help hospitals develop better EHR implementation strategies to reduce user resistance behavior among the nursing staff.


2021 ◽  
Vol 1 (1) ◽  
pp. 6-17
Author(s):  
Andrija Pavlovic ◽  
Nina Rajovic ◽  
Jasmina Pavlovic Stojanovic ◽  
Debora Akinyombo ◽  
Milica Ugljesic ◽  
...  

Introduction: Potential benefits of implementing an electronic health record (EHR) to increase the efficiency of health services and improve the quality of health care are often obstructed by the unwillingness of the users themselves to accept and use the available systems. Aim: The aim of this study was to identify factors that influence the acceptance of the use of an EHR by physicians in the daily practice of hospital health care. Material and Methods: The cross-sectional study was conducted among physicians in the General Hospital Pancevo, Serbia. An anonymous questionnaire, developed according to the technology acceptance model (TAM), was used for the assessment of EHR acceptance. The response rate was 91%. Internal consistency was assessed by Cronbach’s alpha coefficient. A logistic regression analysis was used to identify the factors influencing the acceptance of the use of EHR. Results: The study population included 156 physicians. The mean age was 46.4 ± 10.4 years, 58.8% participants were female. Half of the respondents (50.1%) supported the use of EHR in comparison to paper patient records. In multivariate logistic regression modeling of social and technical factors, ease of use, usefulness, and attitudes towards use of EHR as determinants of the EHR acceptance, the following predictors were identified: use of a computer outside of the office for reading daily newspapers (p = 0.005), EHR providing a greater amount of valuable information (p = 0.007), improvement in the productivity by EHR use (p < 0.001), and a statement that using EHR is a good idea (p = 0.014). Overall the percentage of correct classifications in the model was 83.9%. Conclusion: In this research, determinants of the EHR acceptance were assessed in accordance with the TAM, providing an overall good model fit. Future research should attempt to add other constructs to the TAM in order to fully identify all determinants of physician acceptance of EHR in the complex environment of different health systems.


Author(s):  
Susan Alexander ◽  
Haley Hoy ◽  
Manil Maskey ◽  
Helen Conover ◽  
John Gamble ◽  
...  

The knowledge base for healthcare providers working in the field of organ transplantation has grown exponentially. However, the field has no centralized ‘space’ dedicated to efficient access and sharing of information.The ease of use and portability of mobile applications (apps) make them ideal for subspecialists working in complex healthcare environments. In this article, the authors review the literature related to healthcare technology; describe the development of health-related technology; present their mobile app pilot project assessing the effects of a collaborative, mobile app based on a freely available content manage framework; and report their findings. They conclude by sharing both lessons learned while completing this project and future directions.


2018 ◽  
Vol 7 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Hory Sankar Mukerjee ◽  
G. K. Deshmukh ◽  
U. Devi Prasad

Present study is an attempt to measure technology readiness of Indian customers towards self checkout service (SCS) through mobile app at retail stores at Hyderabad, India. Self-checkout services (SCS), a key offering of self service technology (SST), ‘is the technological enablement of customers to make payments and complete a checkout, after shopping, with little or no interaction with a service employee.’ Researchers also studied correlations between technology readiness, perceived usefulness, perceived ease of use, and likelihood to use SCS. For the purpose of the study TRI 2.0 developed by Parasuraman and Colby (2015) was used along with items of perceived usefulness and perceived ease of use, adapted from Davis (1989) , and items of ‘likelihood to use’ adapted from Bitner, Ostrom and Meuter (2002) . The findings of the study reveal that respondents’ technology readiness was moderate with respect to mobile based SCS. Significant positive correlations were found between: technology readiness and perceived ease of use, perceived ease of use and perceived usefulness, perceived ease of use and likelihood to use, perceived usefulness and likelihood to use. Further the respondents were categorised in to five technology segments as sceptics, explorers, pioneers, avoiders and hesitators.


2021 ◽  
Author(s):  
Ahmed Al-Naher ◽  
Jennifer Downing ◽  
Kathryn A Scott ◽  
Munir Pirmohamed

BACKGROUND Adult chronic heart failure mainly affects an elderly population with multiple co-morbidities that often require frequent medical visits to prevent poor health outcomes. However the heart failure disease process reduces their independence by reducing mobility, exercise tolerance and cognitive decline. Remote care technologies can bridge the gap in care for these patients by allowing them to be followed up within the comfort of their home and encourage their self-care. However, patients, carers and healthcare professionals need to engage with the technology for it to be useful. OBJECTIVE This systematic review explored qualitative primary studies of remote care technologies used in heart failure, to determine the factors that affect user engagement with the technology. This is explored from the perspective of patients, carers, and healthcare professionals. METHODS Relevant studies published between 1/1/1990 – 19/9/2020 were identified from EMBASE, Ovid MEDLINE, Pubmed, Cochrane library and Scopus. These studies were then synthesized using thematic analysis. Relevant user experiences with remote care were extracted using line-by-line coding. These codes were summarised into secondary codes and core concepts, which were further merged into overarching themes that encapsulate user experience with remote care. RESULTS The review included 47 studies, which led to the generation of 5 overarching themes which affect engagement: (a) ‘Convenience’ relates to time saved by the intervention; (b) ‘Clinical Care’ relates to perceived quality of care and health outcomes; (c) ‘Communication’ involves feedback and interaction between patients, staff and carers; (d) ‘Education’ concerns the tailored information provided; and (e) ‘Ease of Use’ relates to accessibility and technical barriers to engagement. Each theme was applied to each user base of patient, carer and healthcare professional in a different manner. CONCLUSIONS The 5 themes identified highlight aspects of remote care that facilitate engagement, and should be considered in both future design and trials evaluating these technologies.


2021 ◽  
Author(s):  
Hyung-Jin Yoon ◽  
Ye Seul Bae ◽  
Yujin Park ◽  
Taekhoon Kim ◽  
Taehoon Ko ◽  
...  

BACKGROUND The concept of MyData emerged as a paradigm shift in personal data management and the process of seeking to transform the current organization-centered system. MyData enables the utilization of one’s own personal information that is scattered among various institutions as a system for data subjects to exercise rights of self-determination. OBJECTIVE We aimed to develop and demonstrate a MyData platform (MyHealthData) that allows data subjects to download and manage health-related personal data stored in various medical institutions. METHODS The platform consists of a mobile app for users, API (application program interface) for data conversion and exchange installed in the hospital information system (HIS), and a relay server connected to the blockchain to prove data integrity. User surveys were conducted to explore perceived usefulness, perceived ease of use, and satisfaction. RESULTS We provided four services to users through the platform developed in this study: inquiring about medical and health checkup records, health coaching, checking conditions of participation in clinical research, and claims, by using an app. A total of 1,228 participants signed for the service and the overall user satisfaction was high, especially with ‘inquire about medical and health checkup records.’ CONCLUSIONS MyData brings a user-centered paradigm in which data subjects can directly participate in the use of their own data. MyData will improve healthcare data interoperability, allowing it to be used not only in research areas but also in other areas by sharing and integrating various healthcare data.  


2019 ◽  
Vol 129 ◽  
pp. 75-80 ◽  
Author(s):  
H. Scheper ◽  
R. Derogee ◽  
R. Mahdad ◽  
R.J.P. van der Wal ◽  
R.G.H.H. Nelissen ◽  
...  

2020 ◽  
Vol 18 (2) ◽  
pp. 17-35
Author(s):  
Shampy Kamboj ◽  
Shruti Rana ◽  
Vinayak A. Drave

The advent of smartphones revolutionized and took the market to a new level. Now a days, majority of internet users spend their maximum time on smartphones, specifically on mobile apps. The emergence of numerous apps in smartphones with games features has brought about a different trend, mobile app gamification. The emerging popularity of smartphone technologies and their mobile apps have led various companies to engage their consumers with mobile apps, specifically through gamification. Therefore, companies gain consumers attention integrate their mobile marketing into their overall marketing strategy. This study explores the domain of consumer engagement and their intentions through the gamification of mobile apps. The research focuses on how mobile app gamification drives consumer engagement and their intentions drawing upon SDT and TAM. Using survey method data collected from 270 respondents, data analysis was done with structure equation modeling (SEM). The findings assert that various features of gamification of mobile apps (perceived ease of use, perceived usefulness and enjoyment) have a significant influence on consumer engagement. However, convenience was unexpectedly found not to be significantly associated with consumer engagement. Additionally, consumer engagement was found to be associated to smartphone user's intentions to use gamification of mobile apps. The results of present study have theoretical and practical implications.


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