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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How Do Resuscitation Teams at Top-Performing Hospitals for In-Hospital Cardiac Arrest Succeed?
|
|---|---|
| Published in |
Circulation, July 2018
|
| DOI | 10.1161/circulationaha.118.033674 |
| Pubmed ID | |
| Authors |
Brahmajee K. Nallamothu, Timothy C. Guetterman, Molly Harrod, Joan E. Kellenberg, Jessica L. Lehrich, Steven L. Kronick, Sarah L. Krein, Theodore J. Iwashyna, Sanjay Saint, Paul S. Chan |
| Abstract |
In-hospital cardiac arrest (IHCA) is common, and outcomes vary substantially across US hospitals, but reasons for these differences are largely unknown. We set out to better understand how top-performing hospitals organize their resuscitation teams to achieve high survival rates for IHCA. We calculated risk-standardized IHCA survival to discharge rates across American Heart Association Get With The Guidelines-Resuscitation registry hospitals between 2012 and 2014. We identified geographically and academically diverse hospitals in the top, middle, and bottom quartiles of survival for IHCA and performed a qualitative study that included site visits with in-depth interviews of clinical and administrative staff at 9 hospitals. With the use of thematic analysis, data were analyzed to identify salient themes of perceived performance by informants. Across 9 hospitals, we interviewed 158 individuals from multiple disciplines including physicians (17.1%), nurses (45.6%), other clinical staff (17.1%), and administration (20.3%). We identified 4 broad themes related to resuscitation teams: (1) team design, (2) team composition and roles, (3) communication and leadership during IHCA, and (4) training and education. Resuscitation teams at top-performing hospitals demonstrated the following features: dedicated or designated resuscitation teams; participation of diverse disciplines as team members during IHCA; clear roles and responsibilities of team members; better communication and leadership during IHCA; and in-depth mock codes. Resuscitation teams at hospitals with high IHCA survival differ from non-top-performing hospitals. Our findings suggest core elements of successful resuscitation teams that are associated with better outcomes and form the basis for future work to improve IHCA. |
X Demographics
The data shown below were collected from the profiles of 258 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 | 51 | 20% |
| United Kingdom | 26 | 10% |
| Canada | 23 | 9% |
| Spain | 9 | 3% |
| Australia | 9 | 3% |
| Netherlands | 6 | 2% |
| Italy | 5 | 2% |
| Japan | 5 | 2% |
| Ireland | 4 | 2% |
| Other | 33 | 13% |
| Unknown | 87 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 172 | 67% |
| Practitioners (doctors, other healthcare professionals) | 55 | 21% |
| Scientists | 25 | 10% |
| Science communicators (journalists, bloggers, editors) | 6 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 256 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 27 | 11% |
| Other | 26 | 10% |
| Researcher | 23 | 9% |
| Professor > Associate Professor | 13 | 5% |
| Student > Ph. D. Student | 13 | 5% |
| Other | 52 | 20% |
| Unknown | 102 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 73 | 29% |
| Nursing and Health Professions | 38 | 15% |
| Social Sciences | 5 | 2% |
| Business, Management and Accounting | 4 | 2% |
| Agricultural and Biological Sciences | 3 | 1% |
| Other | 18 | 7% |
| Unknown | 115 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 242. 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 29 January 2023.
All research outputs
#158,452
of 25,856,138 outputs
Outputs from Circulation
#501
of 21,297 outputs
Outputs of similar age
#3,227
of 340,833 outputs
Outputs of similar age from Circulation
#6
of 178 outputs
Altmetric has tracked 25,856,138 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,297 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.6. 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 340,833 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 99% of its contemporaries.
We're also able to compare this research output to 178 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 96% of its contemporaries.