The purpose of this field study was to measure the influence of three factors on the adoption of information technology in a health care setting--namely, attitudes toward using the technology, subjective norms or beliefs about others' expectations, and perceived voluntariness. Approximately 77 percent of the variance of intent to use the technology was explained by three attitude variables (beliefs related to perceived relative advantage and compatibility with previous work patterns as well as result demonstrability), and one variable associated with subjective norms (influence of a senior policymaker, the director of nursing). Use of this model may provide insights for administrators managing the process of information technology implementation in health care.
Internet-based patient support systems are widely assumed to predict a future trend in patient education. Coherent information is still lacking on how patient education is adopted in psychiatric hospitals and how information technology is used in it. Our aim was to describe nurses' adoption of an Internet-based patient education programme and the variables explaining it. The study was based on Rogers' model of the diffusion of innovation. The Internet-based patient education sessions were carried out by nurses on nine acute psychiatric inpatient wards in two Finnish hospitals. They were evaluated with reports and analysed statistically. Out of 100 nurses, 83 adopted the programme during the study period. The nurses fell into Rogers' groups, late majority (72%), laggards (17%), early majority (7%), early adopters (3%) and innovators (1%). Three groups were formed according to their activity: laggards, late majority, adopters (including early majority, early adopters, innovators). There was a statistical difference between the nurses' programme adoption between the two hospitals (P= 0.045): more laggards (65% vs. 35%) and adopters (73% vs. 27%) in the same hospital. The findings help to provide insight into the contexts and settings when adopting information technology programmes in the area of mental health care.
Computer-based cognitive testing is gaining in popularity because of desirable features such as ease of use, standardized administration and online data acquisition. Information technology and computer familiarity are clearly influenced by age in the general population, but the impact of this situation on cognitive testing of patients with schizophrenia has received little attention. In the present paper, participants underwent cognitive testing with computer and paper versions of the same tests. Patients underperformed controls by 1.36 DS (paper tests) and 2.27 DS (computer tests) after controlling for education. Results were highly correlated but patients with schizophrenia were disproportionately impaired on computer tests compared with their paper counterparts. Moreover, for subtests implying active keyboard input from the participant, the difference between paper and computer scores correlated with age in patients, a pattern that was not found in controls. These results have methodological implications because of the implied risk of measuring (lack of) computer proficiency in addition to bona fide cognitive deficits. They confirm, moreover, that patients with schizophrenia are victims of the "digital divide", which adds to the potential benefits of approaches like computer assisted cognitive remediation in this population.
In summary, providers and vendors alike have made great strides in EMR adoption among physicians in large-scale ambulatory practices. However, there is still work to be done in the areas of physician use, adoption obstacles, workflow and physician satisfaction. As vendors continue to enhance EMR technology, advance workflow and solve challenges with integration and physician acceptance, adoption will grow and providers will be even closer to their specific efficiency, safety and effectiveness goals.
Physicians' acceptance of telemedicine constitutes a prerequisite for its diffusion on a national scale. Based upon the Theory of Interpersonal Behavior, this study was aimed at assessing the predictors of physicians' intention to use telemedicine in their clinical practice. All of the physicians involved in the RQTE, the extended provincial telemedicine network of Quebec (Canada) were mailed a questionnaire to identify the psychosocial determinants of their intention to adopt telemedicine. Confirmatory factor analysis (CFA) was performed to assess the measurement model and structural equation modelling (SEM) was applied to test the theoretical model. The adapted theoretical model explained 81% (P
BACKGROUND: The most heavily discussed subject on Eyr, the Norwegian mailing list for general practitioners, has been the introduction of a general practice list system (GPLS). MATERIAL AND METHODS: All messages in the GPLS debate were recorded from its start in August 1996 up until the GPLS was introduced nationwide in June 2001. RESULTS: During this period, 243 different persons posted 2,153 messages about the GPLS, 232 of the participants were physicians, 203 of them GPs. Mean age was 46 years; males were strongly overrepresented (87%). 80% of the participants posted ten or fewer messages, 10% posted 11-20 messages, and 10% posted more than 20 messages. GPs sent most of their messages in the evenings, academics and public health officers sent most of their messages during work hours. Mean length of the messages was 179 words, 72% were responses to earlier messages. Most of the messages were neutral regarding the GPLS, 207 (9.6%) were negative, and 181 (8.4%) positive. Academics, public health officers, and participants in a GPLS trial were heavily overrepresented with positive messages. INTERPRETATION: It is concluded that this debate has been fairly balanced. Participation greatly exceeded what would have been possible in traditional media.
This paper describes an easy to use home-based eHealth system for chronic disease management. We present the design and implementation of a prototype for home based education, exercises, treatment and following-up, with the TV and a remote control as user interface. We also briefly describe field trials of the system for patients with COPD and diabetes, and their experience with the technology.
The objective of the study presented here was to perform an empirical investigation on factors affecting healthcare workers acceptance and utilisation of e-learning in post-school healthcare education. E-learning benefits are realised when key features of e-learning are not only applied, but deemed useful, compatible with the learning process and supportive in order to reach the overall goals of the learning process. We conducted a survey of 14 state-enrolled nurses and skilled-workers within the field of healthcare in Norway. The results show that perceived compatibility and subjective norm explain system usage of the e-learning tool amongst the students. We found that the fact that the students considered the e-learning to be compatible with the course in question had a positive effect on e-learning tool usage. We also found support for factors such as facilitating conditions and ease of use leads to the e-learning tool being considered useful.
Healthcare errors among nurses are common because of the fast-paced work environment, in which extensive data must be analyzed and quick decision making is required. Assistive computing devices can help reduce nursing errors by providing timely access to client information and by assisting nurses with client monitoring, decision making, and bedside documentation. The purpose of this pilot study was to determine what assistive computing device features, functions, and input/output modalities nurses would find most useful as support for their nursing duties. Twenty nurses completed a questionnaire that examined their needs and preferences. Data analysis revealed a strong desire for capabilities related to facilitating information access and administering safe medication. The results of this study will be used to develop design criteria for an assistive computing device that will aim to improve the performance of nurses through appropriate information and data support.