BACKGROUND: Recent trials suggest that the early administration of analgesia in patients with acute abdominal pain facilitates examination and does not delay diagnosis. We investigated current practice regarding analgesia for these patients. METHODS: All patients admitted via the accident and emergency department with abdominal pain were included. The main outcome measures evaluated were waiting time for analgesia and its relationship to subjective visual analogue pain scores and clinical diagnoses. RESULTS: Data from 107 consecutive patients were investigated; seven patients were excluded. Forty-two per cent were male. The mean age was 40.1 years (6-85). The mean overall waiting time for analgesia was 1.4 h (2 min to 14 h). Sixty-seven per cent received analgesia within one hour, although 22% waited 2-14 h after presentation. Those with mild pain waited significantly longer for analgesia (mean 247 min) than those with severe pain (mean 82 min; P=0.01). Those with moderate pain had intermediate waiting times (mean 111 min), although they were not statistically different from the severe group (P=0.43). Female patients had to wait longer (mean 129 min) than male patients (mean 69 min; P=0.09 analysis of variance). Of 64% who were general practitioner referrals, only 11% (all severe group, P=0.02) received analgesia in the community. Neither clinical diagnosis nor age influenced the timing of analgesia. Seventy-three per cent received analgesia in the casualty department (mean 0.5 h; range 0.02-3.2), whereas those admitted in the ward without receiving analgesia in casualty had to wait significantly longer for their pain relief (mean 5 h; 1.2-14). CONCLUSION: This study shows the need for standardized protocols for analgesia usage in patients presenting with acute abdominal pain.
BACKGROUND: Recent trials suggest that the early administration of analgesia in patients with acute abdominal pain facilitates examination and does not delay diagnosis. We investigated current practice regarding analgesia for these patients. METHODS: All patients admitted via the accident and emergency department with abdominal pain were included. The main outcome measures evaluated were waiting time for analgesia and its relationship to subjective visual analogue pain scores and clinical diagnoses. RESULTS: Data from 107 consecutive patients were investigated; seven patients were excluded. Forty-two per cent were male. The mean age was 40.1 years (6-85). The mean overall waiting time for analgesia was 1.4 h (2 min to 14 h). Sixty-seven per cent received analgesia within one hour, although 22% waited 2-14 h after presentation. Those with mild pain waited significantly longer for analgesia (mean 247 min) than those with severe pain (mean 82 min; P=0.01). Those with moderate pain had intermediate waiting times (mean 111 min), although they were not statistically different from the severe group (P=0.43). Female patients had to wait longer (mean 129 min) than male patients (mean 69 min; P=0.09 analysis of variance). Of 64% who were general practitioner referrals, only 11% (all severe group, P=0.02) received analgesia in the community. Neither clinical diagnosis nor age influenced the timing of analgesia. Seventy-three per cent received analgesia in the casualty department (mean 0.5 h; range 0.02-3.2), whereas those admitted in the ward without receiving analgesia in casualty had to wait significantly longer for their pain relief (mean 5 h; 1.2-14). CONCLUSION: This study shows the need for standardized protocols for analgesia usage in patients presenting with acute abdominal pain.
Authors: Tracy E Madsen; Samuel McLean; Wanting Zhai; Sarah Linnstaedt; Michael C Kurz; Robert Swor; Phyllis Hendry; David Peak; Christopher Lewandowski; Claire Pearson; Brian O'Neil; Elizabeth Datner; David Lee; Francesca Beaudoin Journal: Clin Ther Date: 2018-01-20 Impact factor: 3.393
Authors: Andrew C Miller; Abbas M Khan; Alberto A Castro Bigalli; Kerry A Sewell; Alexandra R King; Shadi Ghadermarzi; Yuxuan Mao; Shahriar Zehtabchi Journal: J Pain Res Date: 2019-02-26 Impact factor: 3.133