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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cognitive workload changes for nurses transitioning from a legacy system with paper documentation to a commercial electronic health record
|
|---|---|
| Published in |
International Journal of Medical Informatics, March 2015
|
| DOI | 10.1016/j.ijmedinf.2015.03.003 |
| Pubmed ID | |
| Authors |
Lacey Colligan, Henry W.W. Potts, Chelsea T. Finn, Robert A. Sinkin |
| Abstract |
Healthcare institutions worldwide are moving to electronic health records (EHRs). These transitions are particularly numerous in the US where healthcare systems are purchasing and implementing commercial EHRs to fulfill federal requirements. Despite the central role of EHRs to workflow, the cognitive impact of these transitions on the workforce has not been widely studied. This study assesses the changes in cognitive workload among pediatric nurses during data entry and retrieval tasks during transition from a hybrid electronic and paper information system to a commercial EHR. Baseline demographics and computer attitude and skills scores were obtained from 74 pediatric nurses in two wards. They also completed an established and validated instrument, the NASA-TLX, that is designed to measure cognitive workload; this instrument was used to evaluate cognitive workload of data entry and retrieval. The NASA-TLX was administered at baseline (pre-implementation), 1, 5 and 10 shifts and 4 months post-implementation of the new EHR. Most nurse participants experienced significant increases of cognitive workload at 1 and 5 shifts after "go-live". These increases abated at differing rates predicted by participants' computer attitudes scores (p=0.01). There is substantially increased cognitive workload for nurses during the early phases (1-5 shifts) of EHR transitions. Health systems should anticipate variability across workers adapting to "meaningful use" EHRs. "One-size-fits-all" training strategies may not be suitable and longer periods of technical support may be necessary for some workers. |
X Demographics
The data shown below were collected from the profiles of 40 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 25% |
| United Kingdom | 10 | 25% |
| Australia | 9 | 23% |
| Ireland | 1 | 3% |
| Canada | 1 | 3% |
| Curaçao | 1 | 3% |
| New Zealand | 1 | 3% |
| Unknown | 7 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 57% |
| Scientists | 13 | 33% |
| Practitioners (doctors, other healthcare professionals) | 3 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 358 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | <1% |
| United States | 2 | <1% |
| Ireland | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 351 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 71 | 20% |
| Student > Ph. D. Student | 53 | 15% |
| Student > Bachelor | 30 | 8% |
| Researcher | 29 | 8% |
| Student > Doctoral Student | 20 | 6% |
| Other | 66 | 18% |
| Unknown | 89 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 54 | 15% |
| Computer Science | 42 | 12% |
| Medicine and Dentistry | 37 | 10% |
| Engineering | 32 | 9% |
| Business, Management and Accounting | 29 | 8% |
| Other | 57 | 16% |
| Unknown | 107 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 16 May 2022.
All research outputs
#1,247,424
of 25,371,288 outputs
Outputs from International Journal of Medical Informatics
#42
of 1,865 outputs
Outputs of similar age
#15,738
of 277,452 outputs
Outputs of similar age from International Journal of Medical Informatics
#1
of 13 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,865 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 97% 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 277,452 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.