Nowadays, information technology tools are widely used in the healthcare industry to record and integrate medical data so as to provide complete access to patients' information for coordinated healthcare delivery. Yet, the efficacy of these technologies depends on their successful implementation for, adoption by and/or adaptation to support health professional workers such as physicians and nurses. This study addresses the impact of specific factors including result observability, autonomy, perceived barriers, task structure, privacy and security anxiety on the nurses' perception of their performance using health information technologies. Additionally, the effects of nurses' personality factors are examined as moderating factors on the relationships between the organizational factors and nurses' perception of performance. Multiple linear regression was applied to validate the proposed research model and professional autonomy, result observability, privacy and security anxiety were found to be key factors predicting the nurses' perception of performance.
Nowadays, information technology tools are widely used in the healthcare industry to record and integrate medical data so as to provide complete access to patients' information for coordinated healthcare delivery. Yet, the efficacy of these technologies depends on their successful implementation for, adoption by and/or adaptation to support health professional workers such as physicians and nurses. This study addresses the impact of specific factors including result observability, autonomy, perceived barriers, task structure, privacy and security anxiety on the nurses' perception of their performance using health information technologies. Additionally, the effects of nurses' personality factors are examined as moderating factors on the relationships between the organizational factors and nurses' perception of performance. Multiple linear regression was applied to validate the proposed research model and professional autonomy, result observability, privacy and security anxiety were found to be key factors predicting the nurses' perception of performance.
Background Previous studies have shown positive tangible health benefits from using online support communities for informational support, daily living support, and emotional support. The specifics of how these communities can be improved have not been studied in detail. Objective This study will investigate various sources of information that patients with genetic disorders use to learn more about their condition. We will be using patients with Ehlers-Danlos Syndrome (EDS) as a typical representation of the wider group of patients with genetic disorders. This study will also investigate the benefits and disadvantages of web-based platforms and how they can be improved. Methods We used quantitative and qualitative analyses in this study. We undertook a web-based questionnaire survey and semistructured qualitative interviews through Zoom. Questionnaire results were analyzed using descriptive analysis. Thematic coding with constant comparison was used for interview transcript analysis. Results A total of 436 respondents completed some or all of the survey. The majority of participants are female (386/413, 93.46%), and 24% (99/413) of them are in the age range of 25-34 years. Around 81% (336/413) of the participants have some type of college degree, and 55% (227/413) of them have graduate degrees. About 49.31% (204/413) of them are not currently employed. Most patients stated that their health care providers did not give accurate and complete information to them regarding their health situation (mean 2.87, SD 1.34). Also, patients perceived their providers as not knowledgeable regarding web-based communities that discuss patients’ conditions (mean 1.93, SD 1.15). Patients are confident in using health care resources available in web-based health communities (mean 3.78, SD 1.13). We interviewed 30 participants. The demographics of the interviewees were aligned with those of the survey participants. A total of 9 different themes were identified based on the Qualtrics survey and qualitative interviews. Participants shared the pros and cons of different online support groups that they were using and gave suggestions for improvement. They requested a centralized database with different categories of resources classified based on different diseases. They also emphasized the importance of search features and the ability to find relevant information with a hashtag. Furthermore, they elaborated on the privacy and security concerns they have regarding web-based support group platforms. Conclusions Patients with rare diseases are finding information not available from their health care providers in community support groups. The medical community and web developers have a great opportunity to help these people by engaging with their web-based communities.
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