| Title |
Health Professionals’ readiness to implement electronic medical record system at three hospitals in Ethiopia: a cross sectional study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2014
|
| DOI | 10.1186/s12911-014-0115-5 |
| Pubmed ID | |
| Authors |
Senafekesh Biruk, Tesfahun Yilma, Mulusew Andualem, Binyam Tilahun |
| Abstract |
BackgroundElectronic medical record systems are being implemented in many countries to support healthcare services. However, its adoption rate remains low, especially in developing countries due to technological, financial, and organizational factors. There is lack of solid evidence and empirical research regarding the pre implementation readiness of healthcare providers. The aim of this study is to assess health professionals¿ readiness and to identify factors that affect the acceptance and use of electronic medical recording system in the pre implementation phase at hospitals of North Gondar Zone, Ethiopia.MethodsAn institution based cross-sectional quantitative study was conducted on 606 study participants from January to July 2013 at 3 hospitals in northwest Ethiopia. A pretested self-administered questionnaire was used to collect the required data. The data were entered using the Epi-Info version 3.5.1 software and analyzed using SPSS version 16 software. Descriptive statistics, bi-variate, and multi-variate logistic regression analyses were used to describe the study objectives and assess the determinants of health professionals¿ readiness for the system. Odds ratio at 95% CI was used to describe the association between the study and the outcome variables.ResultsOut of 606 study participants only 328 (54.1%) were found ready to use the electronic medical recording system according to our criteria assessment. The majority of the study participants, 432 (71.3%) and 331(54.6%) had good knowledge and attitude for EMR system, respectively. Gender (AOR¿=¿1.87, 95% CI: [1.26, 2.78]), attitude (AOR¿=¿1.56, 95% CI: [1.03, 2.49]), knowledge (AOR¿=¿2.12, 95% CI: [1.32, 3.56]), and computer literacy (AOR =1.64, 95% CI: [0.99, 2.68]) were significantly associated with the readiness for EMR system.ConclusionsIn this study, the overall health professionals¿ readiness for electronic medical record system and utilization was 54.1% and 46.5%, respectively. Gender, knowledge, attitude, and computer related skills were the determinants of the presence of a relatively low readiness and utilization of the system. Increasing awareness, knowledge, and skills of healthcare professionals on EMR system before system implementation is necessary to increase its adoption. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 342 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| United Kingdom | 1 | <1% |
| Colombia | 1 | <1% |
| Tanzania, United Republic of | 1 | <1% |
| Unknown | 337 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 69 | 20% |
| Student > Bachelor | 33 | 10% |
| Researcher | 30 | 9% |
| Lecturer | 20 | 6% |
| Student > Ph. D. Student | 20 | 6% |
| Other | 57 | 17% |
| Unknown | 113 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 58 | 17% |
| Nursing and Health Professions | 50 | 15% |
| Computer Science | 36 | 11% |
| Social Sciences | 24 | 7% |
| Business, Management and Accounting | 16 | 5% |
| Other | 38 | 11% |
| Unknown | 120 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 17 December 2014.
All research outputs
#20,258,310
of 25,765,370 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,629
of 2,158 outputs
Outputs of similar age
#258,174
of 365,423 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 33 outputs
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