Title |
The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis
|
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Published in |
Systematic Reviews, June 2014
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DOI | 10.1186/2046-4053-3-56 |
Pubmed ID | |
Authors |
Teryl K Nuckols, Crystal Smith-Spangler, Sally C Morton, Steven M Asch, Vaspaan M Patel, Laura J Anderson, Emily L Deichsel, Paul G Shekelle |
Abstract |
The Health Information Technology for Economic and Clinical Health (HITECH) Act subsidizes implementation by hospitals of electronic health records with computerized provider order entry (CPOE), which may reduce patient injuries caused by medication errors (preventable adverse drug events, pADEs). Effects on pADEs have not been rigorously quantified, and effects on medication errors have been variable. The objectives of this analysis were to assess the effectiveness of CPOE at reducing pADEs in hospital-related settings, and examine reasons for heterogeneous effects on medication errors. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 8 | 23% |
Ireland | 7 | 20% |
United Kingdom | 2 | 6% |
Argentina | 2 | 6% |
Uruguay | 1 | 3% |
Portugal | 1 | 3% |
Austria | 1 | 3% |
Ecuador | 1 | 3% |
Finland | 1 | 3% |
Other | 0 | 0% |
Unknown | 11 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 21 | 60% |
Practitioners (doctors, other healthcare professionals) | 9 | 26% |
Scientists | 5 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | <1% |
Canada | 2 | <1% |
Germany | 1 | <1% |
Finland | 1 | <1% |
Switzerland | 1 | <1% |
Korea, Republic of | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 399 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 80 | 20% |
Researcher | 46 | 11% |
Student > Ph. D. Student | 43 | 10% |
Student > Bachelor | 40 | 10% |
Student > Doctoral Student | 30 | 7% |
Other | 83 | 20% |
Unknown | 88 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 112 | 27% |
Nursing and Health Professions | 55 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 39 | 10% |
Computer Science | 30 | 7% |
Social Sciences | 12 | 3% |
Other | 55 | 13% |
Unknown | 107 | 26% |