scholarly journals Elaboration, validation and reliability of the safety protocol for pediatric thirst management

Author(s):  
Isadora Pierotti ◽  
Leonel Alves do Nascimento ◽  
Edilaine Giovanini Rossetto ◽  
Rejane Kiyomi Furuya ◽  
Lígia Fahl Fonseca

Objective: to elaborate, validate and evaluate the reliability of the Safety Protocol for Pediatric Thirst Management in the immediate postoperative period. Method: methodological quantitative research, based on the assumptions on measurement instrument development. The protocol was elaborated after literature review, interview with specialists and observation of the child’s anesthetic recovery. The judges performed theoretical validation through apparent, semantic and content analysis. Content Validity Index was calculated for content validation, whose minimum established concordance was 0.80. Protocol’s reliability was evaluated in children between three and 12 years old in the Post Anesthesia Care Unit. Results: in its final version, the protocol consisted of five evaluation criteria: level of consciousness, movement, airway protection, breathing pattern and nausea and vomiting. It presented easy comprehension and relevant content, and all indexes exceeded the minimum agreement of 0.80. Pairs of nurses applied the protocol 116 times to 58 children, resulting in a high reliability index (kappa general = 0.98) Conclusion: the unprecedented protocol developed is valid and is a useful tool for use in anesthetic recovery, aiming to assess safety for reducing the thirst of infant patients.

PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 189A-189A
Author(s):  
Melissa L. Langhan ◽  
Fangyong Li ◽  
Lance Lichtor

BMC Urology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
K. Sisa ◽  
S. Huoponen ◽  
O. Ettala ◽  
H. Antila ◽  
T. I. Saari ◽  
...  

Abstract Background Previous findings indicate that pre-emptive pregabalin as part of multimodal anesthesia reduces opioid requirements compared to conventional anesthesia in patients undergoing robot-assisted laparoscopic prostatectomy (RALP). However, recent studies show contradictory evidence suggesting that pregabalin does not reduce postoperative pain or opioid consumption after surgeries. We conducted a register-based analysis on RALP patients treated over a 5-year period to evaluate postoperative opioid consumption between two multimodal anesthesia protocols. Methods We retrospectively evaluated patients undergoing RALP between years 2015 and 2019. Patients with American Society of Anesthesiologists status 1–3, age between 30 and 80 years and treated with standard multimodal anesthesia were included in the study. Pregabalin (PG) group received 150 mg of oral pregabalin as premedication before anesthesia induction, while the control (CTRL) group was treated conventionally. Postoperative opioid requirements were calculated as intravenous morphine equivalent doses for both groups. The impact of pregabalin on postoperative nausea and vomiting (PONV), and length of stay (LOS) was evaluated. Results We included 245 patients in the PG group and 103 in the CTRL group. Median (IQR) opioid consumption over 24 postoperative hours was 15 (8–24) and 17 (8–25) mg in PG and CTRL groups (p = 0.44). We found no difference in postoperative opioid requirement between the two groups in post anesthesia care unit, or within 12 h postoperatively (p = 0.16; p = 0.09). The length of post anesthesia care unit stay was same in each group and there was no difference in PONV Similarly, median postoperative LOS was 31 h in both groups. Conclusion Patients undergoing RALP and receiving multimodal analgesia do not need significant amount of opioids postoperatively and can be discharged soon after the procedure. Pre-emptive administration of oral pregabalin does not reduce postoperative opioid consumption, PONV or LOS in these patients.


2016 ◽  
Vol 31 (4) ◽  
pp. e59-e60
Author(s):  
Alison Partridge ◽  
Suzanne Hunnicutt ◽  
Carol Walker ◽  
Christina Crook ◽  
Shelley Stinson ◽  
...  

2021 ◽  
Vol 36 (4) ◽  
pp. e6
Author(s):  
Team Leader: Jill Benoit ◽  
Team Members: Mary Deseignora ◽  
Robin Egan

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