LDR | | 02193nmm uu200445 4500 |
001 | | 000000334539 |
005 | | 20240805180516 |
008 | | 181129s2017 |||||||||||||||||c||eng d |
020 | |
▼a 9780438385818 |
035 | |
▼a (MiAaPQ)AAI10195464 |
035 | |
▼a (MiAaPQ)nursing.yale:10070 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 610.73 |
100 | 1 |
▼a Layman, Timothy Richard. |
245 | 10 |
▼a Early Intervention in Suspected Sepsis Patients. |
260 | |
▼a [S.l.] :
▼b Yale University.,
▼c 2017 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2017 |
300 | |
▼a 24 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B. |
500 | |
▼a Adviser: Laura K. Andrews. |
502 | 1 |
▼a Thesis (D.N.P.)--Yale University, 2017. |
520 | |
▼a Objectives: Inform the development and implementation of an early response algorithm for suspected sepsis patients via a rapid response team. |
520 | |
▼a Background: Recent literature supports the need for early recognition and intervention of suspected sepsis patients, potentially reducing morbidity and mortality. |
520 | |
▼a Methods: A clinically and professionally reviewed algorithm was developed to execute early, sepsis-specific intervention. The algorithm design was carried out in 3 steps: (1) The establishment of recognition criteria based on evidence |
520 | |
▼a Results: Experts rated three of five domains described in the literature (Sepsis/Mortality, Early intervention/treatment, Code SMARRT Algorithm) as having greater than 90% agreement related to relevance and importance. |
520 | |
▼a Conclusions: The implementation of the Code SMARRT algorithm has the potential to reduce unnecessary deaths related to sepsis and septic shock. |
590 | |
▼a School code: 0265. |
650 | 4 |
▼a Nursing. |
650 | 4 |
▼a Medicine. |
690 | |
▼a 0569 |
690 | |
▼a 0564 |
710 | 20 |
▼a Yale University.
▼b Nursing. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 80-02B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0265 |
791 | |
▼a D.N.P. |
792 | |
▼a 2017 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996534
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |