| Title |
Efficiency of electronic signout for ED-to-inpatient admission at a non-teaching hospital
|
|---|---|
| Published in |
Internal and Emergency Medicine, March 2018
|
| DOI | 10.1007/s11739-018-1816-z |
| Pubmed ID | |
| Authors |
Jennifer M. Singleton, Leon D. Sanchez, Barbara A. Masser, Betzalel Reich |
| Abstract |
Admission handoff is a high-risk component of patient care. Previous studies have shown that a standardized physician electronic signout ("eSignout") may improve ED-to-inpatient handoff safety and efficiency in teaching hospitals. This model has not yet been studied in non-teaching hospitals. The objectives of the study were to determine the efficiency of an eSignout platform at a community affiliate hospital by comparing ED length of stay (LOS) for a 5-month period before and after implementation and to compare the quality assurance (QA) events among admitted patients for the same time period. A retrospective, interventional study was conducted with the main outcome measures including ED LOS with calculation of 95% CI, mean comparison (t test), and number of QA events before and after implementation of the eSignout model. Prior to eSignout implementation, 1045 patients were admitted [mean ED LOS 330.0 min (95% CI 318.6-341.4)]. Following implementation, 1106 patients were admitted [mean ED LOS 338.9 min (95% CI 327.4-350.4, p = 0.2853)]. Nine pre-implementation QA events and six post-implementation events were identified. Use of a physician eSignout in a non-teaching hospital had no statistically significant effect on ED LOS for the admitted patients. The effect of an electronic interdepartmental handoff tool for patient safety and clinical operations in the non-teaching setting is unclear. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 20% |
| Student > Doctoral Student | 3 | 15% |
| Lecturer | 2 | 10% |
| Researcher | 2 | 10% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 6 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 7 | 35% |
| Medicine and Dentistry | 5 | 25% |
| Business, Management and Accounting | 1 | 5% |
| Unknown | 7 | 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 13 March 2018.
All research outputs
#15,494,712
of 23,026,672 outputs
Outputs from Internal and Emergency Medicine
#581
of 954 outputs
Outputs of similar age
#212,507
of 332,619 outputs
Outputs of similar age from Internal and Emergency Medicine
#8
of 15 outputs
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