Intention to adopt clinical decision support systems in a developing country: effect of Physician’s perceived professional autonomy, involvement and belief: a cross-sectional study

Sambasivan, Murali; Esmaeilzadeh, Pouyan; Kumar, Naresh; Nezakati, Hossein

doi:10.1186/1472-6947-12-142

Cited by 58 publications

(56 citation statements)

References 27 publications

(52 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The nding that performance expectancy is related to intention to use the new EMMS aligns with previous studies that claim performance expectancy is an important determinant of doctors' intention to use a new technology [26].The greatest bene t and also disbene t on performance expectancy for doctors was introduced by pre-de ned order sets. Our ndings are consistent with other studies that found a key facilitator for user-acceptance were order sentences that increased prescriber e cacy [11; 32] and evidence-based practices, [3; 17; 32].…”

Section: Discussionsupporting

confidence: 86%

A Qualitative Evaluation of the Usability of a Hospital-Wide Electronic Medication Management System in the Oncology setting using the Unified Theory and Use of Technology Framework

Dabliz

Poon

Ritchie

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: In light of the complexity of the medication process and the difficultly of examining it in isolation from other interrelated processes and contextual factors, this qualitative research aims to fill the gap in the literature by cohesively determining the usability of a hospital-wide Electronic Medication Management System in a specialised oncology unit by bringing in the perspective of three key user groups. Furthermore, it demonstrates how the UTAUT can be used to guide qualitative evaluation studies in evaluating the usability of an integrated EMMS. Methods: This was a qualitative study conducted in a 12-bed hospital outpatient Oncology unit in a major teaching hospital. In-depth semi-structured interviews were performed with the doctors, nurses and pharmacists to identify user’s requirements. Data were analysed by using the UTAUT framework for analysis. Results: The UTAUT framework facilitated the evaluation of interrelated aspects and provided a structured summary of user experience usability factors. The direct cross comparison between user groups illustrated that doctors and pharmacists were generally satisfied with the facilitating conditions (hardware and training), but had varying perceptions of performance (automation, standardised protocols and communication and documented) and effort (mental and temporal demand). On the other hand, nurses were generally satisfied across all constructs. It also illustrated the key role that ‘previous system experience’ plays in developing user’s system frustrations and acted as a moderator for these constructs. Conclusion: Considering the complexity of the medication process and the difficultly of examining it in isolation from other interrelated processes and contextual factors, this study cohesively demonstrated the need to explore perceptions of usability across user groups. It illustrated that doctors and pharmacists were satisfied with the EMMS if it provided desirable utility to their practice, and nurses when the EMMS was easy to use in the nursing processes using the UTAUT framework. As multidisciplinary teams are involved in cancer care, all potential users and their requirements should be considered.

show abstract

Section: Discussionsupporting

confidence: 86%

A Qualitative Evaluation of the Usability of a Hospital-Wide Electronic Medication Management System in the Oncology setting using the Unified Theory and Use of Technology Framework

Dabliz

Poon

Ritchie

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…37 The results of the present study showed that there is no significant relationship between performance expectancy and behavioral intention, and this is inconsistent with previous studies that claim the performance expectancy as an important determinant of users' intention to use a new technology. 52,53 This may be due to the poor familiarity of the medical students with health applications and health care services of mobile in medical science universities. Ultimately, the results of present study are not in line with the results of Hoque and Sorwar 37 and Schomakers et al 44 studies.…”

Section: Discussionmentioning

confidence: 99%

Effective Factors in Adoption of Mobile Health Applications between Medical Sciences Students Using the UTAUT Model

et al. 2019

View full text Add to dashboard Cite

Background Students with complex health care services process face constant challenges with regard to health education. The mobile devices are an important tool that can install various applications for using information such as clinical guidelines, drug resources, clinical calculations, and the latest scientific evidence without any time and place limitations. And this happens only when students accept and use it. Objective The purpose of this article is to identify the factors influencing students in their intention to use mobile health (mHealth) by using Unified Theory of Acceptance and Use of Technology (UTAUT) model. Methods A standard questionnaire was used to collect the data from nearly 302 Lorestan University of medical science students including nutrition and public health, paramedicine, nursing and midwifery, pharmacy, dentistry, and medical schools. The data were processed using LISREL (Scientific Software International, Inc., Lincolnwood, Illinois) and SPSS (IBM Corp., Armonk, New York) softwares and the statistical analysis technique was based on structural equation modeling (SEM). Result A total of 300 questionnaires including valid responses were used in this study. The results showed that mediator of age did not affect the predictors of intention to use mHealth, and the level of education and gender directly affected the intention to use. In addition, effort expectancy, facilitating condition, and behavioral intention directly and indirectly have effect on use, whereas the result revealed no significant relationship between two important processes of performance expectancy and social influence with students' behavioral intention to use the mHealth. Conclusions The present study provides valuable information on mobile health acceptance factors for widespread use of this device among students of universities of medical sciences as a base infrastructure for a variety of information about health services and learning. Review and comparison of results with other studies showed that mHealth acceptance factors were different from other end users (elderly, patients, and health professionals).

show abstract

“…This is because users are unlikely to anticipate benefits from a system that is perceived difficult to use [45]. Prior health IT acceptance studies support the effect of effort expectancy perceptions on performance expectancy (e.g., [40] [48]). Thus, we further hypothesise: H3.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

South African physicians’ acceptance of e-prescribing technology: an empirical test of a modified UTAUT model

Cohen¹,

Bancilhon²,

Jones³

2013

SACJ

View full text Add to dashboard Cite

E-prescribing systems hold promise for improving the quality and efficiency of the scripting process. Yet, the use of the technology has been associated with a number of challenges. The diffusion of e-prescribing into physician practices and the consequent realisation of its potential benefits will depend on whether physicians are willing to accept and engage with the technology. This study draws on the Unified Theory of Acceptance and Use of Technology (UTAUT) and recent literature on user trust in technology to develop and test a model of the factors influencing South African physicians’ acceptance of e-prescribing. Data was collected from a sample of 72 physicians. Results indicate a general acceptance of e-prescribing amongst physicians who on average reported strong intentions to use e-prescribing technologies if given the opportunity. PLS analysis revealed that physicians’ performance expectancies and perceptions of facilitating conditions had significant direct effects on acceptance whilst trust and effort expectancy had important indirect effects. Social influence and price value perceptions did not add additional explanatory power. The model explained 63% of the variation in physician acceptance.

show abstract

Intention to adopt clinical decision support systems in a developing country: effect of Physician’s perceived professional autonomy, involvement and belief: a cross-sectional study

Cited by 58 publications

References 27 publications

A Qualitative Evaluation of the Usability of a Hospital-Wide Electronic Medication Management System in the Oncology setting using the Unified Theory and Use of Technology Framework

A Qualitative Evaluation of the Usability of a Hospital-Wide Electronic Medication Management System in the Oncology setting using the Unified Theory and Use of Technology Framework

Effective Factors in Adoption of Mobile Health Applications between Medical Sciences Students Using the UTAUT Model

South African physicians’ acceptance of e-prescribing technology: an empirical test of a modified UTAUT model

Contact Info

Product

Resources

About