Members of _ can log in with their society credentials below, Agyenna Kesse-Tachi, Alexander Ekow Asmah, and Ebenezer Agbozo, Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (. The increased number of healthcare institutions has led to the need to differentiate one’s product from another’s as well as to gain speed in service provision. Thus, any policy targeted at integrating eHealth should take the indicated professional characteristics into consideration to increase its likelihood of adoption (see Table 4).

The State of Information and Communication Technology and Health Informatics in Ghana. Blom-Singer® StomaSoft® Laryngectomy Tubes, Blom-Singer® ClassicFlow® and EasyFlow® HMEs, Blom-Singer® Adjustable Bi-Flanged Fistula Prothesis, Blom-Singer® Nasal Septal Perforation Prosthesis, Blom-Singer® Special Order Voice Prosthesis, Blom-Singer® Voice Prostheses Placement Surgical Kit, Katz Extractor® Oto-Rhino Foreign Body Remover. This is worth noting because, notwithstanding how savvy one might be with ICT, if the institution does not encourage its use, it will be of no relevance. Managing information security in healthcare: a case study in region Skåne. According to Ahiadeke,50 the logistic regression model can be used to predict a dependent variable given either a continuous and/or categorical explanatory variable. Moreover, as explained earlier, private health care institutions have a higher motivation to employ eHealth systems in their health care operations than their public counterparts. eHealth standardization and interoperability. Up to 17 hours of professional continuing education. A standard multiple regression and a logistic regression analysis were undertaken to determine health centre/firm characteristics, and socio-economic characteristics of responding health managers and professionals that significantly influence the adoption of eHealth devices. Several eHealth definitions have been adopted by researchers, academic institutions, professional bodies and funding organisations. This study covers factors influencing the adoption of electronic health (eHealth) technologies in Ghana.

Besides the location of the health institutions, this only had a low influence on the adoption of eHealth, other factors such as: Management commitment in supporting change; Financial constraints and IT support influence the adoption of eHealth (Table 5). Create a link to share a read only version of this article with your colleagues and friends. Up to 17 hours of professional continuing education. A study conducted by Adebesin et al. Examining the unintended consequences of computerized provider order entry system implementation. The questionnaire was designed to fit the scope of this particular study by gathering quantitative data. eHealth is making headway in the treatment of mental disorders,10,11 self-health monitoring,12 disease diagnosis,13 physical activity intervention for the medically challenged and survivors,14,15 and many other health-related scenarios. Similar observations were made with respect to the variables that fell under efforts expectancy, where only perceived ease of use had an influence of eHealth adoption while all the other factors had a low influence on adoption. supportive policies) from the perspective of the public, health care organisation and system, and micro-level barriers from the perspective of health care providers (e.g.

The other factors, in ascending order, were years in practice, and specialist status, i.e. EXTENTOFADOPTIONOFSYSTEMS was the average scoring index of use of the 13 eHealth systems using the 0–5 Likert scale, with the highest value of 5.0 being the maximum value of use of an eHealth device and 0 representing total lack of use of the device; TERTIARYPRACTICE was a dummy variable, with 1 representing health centres that were referral, service institutions such as university hospitals and zero otherwise; PRIVATE was a dummy variable, with a value of 1 for privately owned and managed health centres and 0 for publicly owned health centres; GENDER was a dummy variable denoting the sex of the health manager/professional, with 1 for males and 0 for females; AGE was the age group that the responding health manager/professional, with 1 for males and 0 for females.

The institutional role notwithstanding, Anderson observed that eHealth implementation at that level is challenged by high cost of acquisition, especially at the initial stage, security, privacy and confidentiality concerns and lack of technical skills.23, Vishwanath and Scamurra synthesised the relationship between the personal characteristics and the medical practice characteristics when they attributed the low adoption rate of eHealth to both macro-level factors (e.g. The study further observed that performance expectancy variables and effort expectancy variables had a moderate-to-low association of eHealth adoption while the other factors had a low association on eHealth adoption among the health institutions. Their Health Information Exchange (HIE) connects hospitals, payers, and over 5000 (growing daily) physicians including imaging providers, across eight counties in Western New York.