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Knowledge and attitudes of doctors towards e-health use in healthcare delivery in government and private hospitals in Northern Uganda: a cross-sectional study

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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11 X users

Citations

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55 Dimensions

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260 Mendeley
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Title
Knowledge and attitudes of doctors towards e-health use in healthcare delivery in government and private hospitals in Northern Uganda: a cross-sectional study
Published in
BMC Medical Informatics and Decision Making, November 2015
DOI 10.1186/s12911-015-0209-8
Pubmed ID
Authors

Geoffrey Tabo Olok, Walter Onen Yagos, Emilio Ovuga

Abstract

E-health is an essential information sharing tool in healthcare management and delivery worldwide. However, utilization of e-health may only be possible if healthcare professionals have positive attitudes towards e-health. This study aimed to determine the relationships between healthcare professionals' attitudes towards e-health, level of ICT skills and e-Health use in healthcare delivery in government and private hospitals in northern Uganda. Cross-sectional survey design was used. Sixty-eight medical doctors in three government hospitals and four private hospitals in Northern Uganda participated in the study. A pretested self-administered questionnaire was used to collect the required data. Data was analysed using SPSS software Version 19. Out of the 68 respondents, 39 (57.4 %) reported access to computer and 29 (48.5 %) accessed Internet in the workplace. Majority of healthcare professionals had positive attitudes towards e-health attributes (mean 3.5). The level of skills was moderate (mean 3.66), and was the most important and significant predictor of ICT use among healthcare professionals (r = .522, p < .001); however, attitudes towards e-health attributes did not contribute significantly in predicting e-health use. The findings suggest need for hospitals managements to strengthen e-health services in healthcare delivery in Northern Uganda.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Vietnam 1 <1%
Australia 1 <1%
Unknown 257 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 15%
Researcher 30 12%
Student > Bachelor 25 10%
Student > Ph. D. Student 20 8%
Lecturer 11 4%
Other 39 15%
Unknown 95 37%
Readers by discipline Count As %
Medicine and Dentistry 41 16%
Nursing and Health Professions 34 13%
Computer Science 22 8%
Business, Management and Accounting 15 6%
Social Sciences 12 5%
Other 37 14%
Unknown 99 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 June 2017.
All research outputs
#3,776,016
of 22,832,057 outputs
Outputs from BMC Medical Informatics and Decision Making
#320
of 1,989 outputs
Outputs of similar age
#53,403
of 285,322 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 33 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,989 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 285,322 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.