| Home | E-Submission | Sitemap | Contact Us
Clin Exp Emerg Med > Volume 5(1); 2018 > Article
Chang, Jung, Kwak, Kim, Lee, Jung, Kwon, Paek, Park, and Shin: Quality improvement activity for improving pain management in acute extremity injuries in the emergency department

Abstract

Objective

The aim of this study was to investigate the effectiveness of a quality improvement activity for pain management in patients with extremity injury in the emergency department (ED).

Methods

This was a retrospective interventional study. The patient group consisted of those at least 19 years of age who visited the ED and were diagnosed with International Classification of Diseases codes S40–S99 (extremity injuries). The quality improvement activity consisted of three measures: a survey regarding activities, education, and the triage nurse’s pain assessment, including change of pain documentation on electronic medical records. The intervention was conducted from January to April in 2014 and outcome was compared between May and August in 2013 and 2014. The primary outcome was the rate of analgesic prescription, and the secondary outcome was the time to analgesic prescription.

Results

A total of 1,739 patients were included, and 20.3% of 867 patients in the pre-intervention period, and 28.8% of 872 patients in the post-intervention period received analgesics (P< 0.001). The prescription rate of analgesics for moderate-to-severe injuries was 36.4% in 2013 and 44.5% in 2014 (P=0.026). The time to analgesics prescription was 116.6 minutes (standard deviation 225.6) in 2013 and 64 minutes (standard deviation 75.5) in 2014 for all extremity injuries. The pain scoring increased from 1.4% to 51.6%.

Conclusion

ED-based quality improvement activities including education and change of pain score documentation can improve the rate of analgesic prescription and time to prescription for patients with extremity injury in the ED.

INTRODUCTION

Pain is one of the most common symptoms of patients presenting to the emergency department (ED). Nevertheless, the assessment of pain severity was not required in most Korean EDs until the introduction of the Korean Triage Acuity Scale by the amendment of the Enforcement Regulations of the Emergency Medical Care Act of 2016. There are few studies on pain control for patients who presented to the ED, and there has been little research on pain control pain for ED trauma patients [1,2]. Trauma patients have reported low satisfaction with their pain management [3]. In several studies, the authors reported that only 21% to 68% of patients with moderate acute pain received analgesics, and 50% to 74% of patients still had moderate pain at discharge [4,5]. Inappropriate pain control after trauma can result in poor treatment results and can slow wound healing and recovery. Additionally, rapid and effective pain control can increase patient satisfaction with care [6,7].
Because of the low awareness of the medical staff for pain assessment and congestion in the emergency room, pain management was not adequately addressed in many emergency rooms in Korea before the introduction of the Korean Triage Acuity Scale. Aggressive intervention activities including various methods have been proposed, but these are difficult for many EDs that lack resources.
The purpose of this study was to investigate the effectiveness of simple quality improvement (QI) activities for early pain management of patients with extremity injury in the ED.

METHODS

Study setting

This was a retrospective pre-post intervention study. The study hospital was an 800-bed hospital with approximately 55,000 ED visits annually. The 40-bed ED has an average of 12 physicians (7 residents and 5 emergency medicine-boarded staff) and 34 nurses, and there was no difference in personnel placement over the 2-year study period. Prior to the study period, the nurses did not record pain scores routinely in the ED, and pain scores were recorded based on individual discretion. This study was approved by the institutional review board of the Boramae Medical Center (26-2016-35) and waived the requirement for informed consent.

Study population

All patients aged 19 years and older who were admitted with an extremity injury were included during the study periods. The diagnosis of extremity injury was defined according to the International Classification of Diseases 10th revision (ICD-10) codes (S40–S99) in ED electronic medical records (EMRs). Period I was from May to August, 2013, and period II was the same months in 2014. We excluded drunk patients; transfer patients; patients who came to the hospital for bites, burns, and foreign bodies; and patients with damage to other parts of the body (head and trunk). We excluded cases of infection such as cellulitis after previous recent trauma.

Data collection and definition of variables

Data were collected via a review of EMRs. Demographic data (age and sex), clinical information (date, time of arrival at ED, chief complaint, time to prescription of analgesics, and type of pain medication), pain score documentation on the nursing chart of EMRs, and ED discharge diagnosis (ICD-10 code) were surveyed. The severity of injury was categorized into mild and moderate-tosevere injuries according to ICD-10 codes. Because Sx0.x and Sx1. x in the ICD-10 codes correspond to superficial injury and open wound of any extremity area, respectively, the numbers 0 and 1 in the second digit of the ICD-10 code were classified as a mild injury. Other injuries, including fractures; dislocations; injuries of nerves, blood vessels, and muscles; and multiple or unspecified injuries were classified as moderate-to-severe injuries. For example, ‘fracture of the upper arm’ (S42.3) was classified as a moderate-to-severe injury and ‘contusion of forearm’ (S50.1) was classified as a mild injury. Pain was assessed using a numeric rating scale and written as a number, 0 to 10, on the nursing charts in the EMRs.

QI activity

The QI activity was started in January 2014 and had three components: a survey about the perception of ED pain management by nurses and physicians, education for QI activity, and changes in pain scoring practice by triage nurses through revisions to EMRs (Fig. 1). The survey was performed in February 2014, and the contents included basic information on the participant, awareness of ED pain management, reasons for inappropriate pain management, reasons for difficulty in pain assessment, individual pain assessment methods, and methods of improving pain management. After analyzing the causes of oligoanalgesia in the ED, pain management education and changes in the protocol for pain documentation were suggested. For education on the QI activity, two emergency grand round meetings were used to explain the need for and methods of QI activity before the intervention period (January and April 2014) for ED physicians and nurses. Each staff group discussed the QI activity approximately once per month in their regular meetings for four months (January to April 2014). Pain assessment was recommended at the triage step and was to be recorded by the triage nurse. The default value for pain score was changed from ‘no’ to ‘yes’ to increase pain scoring on EMRs in February 2014.

Outcome measures

The primary outcome was the prescription rate of pain medications in patients with limb trauma who visited the emergency room. The secondary outcome was the time to prescription of the first analgesic in the ED.

Data analysis

Continuous variables are presented as means with standard deviations or 95% confidence intervals, and categorical variables are presented as frequencies and percentages (%). The chi-square test and Fisher exact test were used to compare categorical data. Student’s t-test was used to compare continuous variables. The time to prescription of analgesics by each month was calculated as means and standard errors. Multiple logistic regression analysis was used to analyze factors associated with analgesics prescription. P-values <0.05 were considered statistically significant. IBM SPSS Statistics ver. 22.0 (IBM Corp., Armonk, NY, USA) was used.

RESULTS

Demographics of participants

In total, 2,490 patients with extremity injuries (ICD-10 codes S40–S99) visited the ED during the study period, and 1,739 patients were included after applying the exclusion criteria (Fig. 2). There was no difference in mean age and age distribution between the two groups, but sex was different (Table 1). In both groups, the most common location of injuries was the wrist and hand (S50–S59), followed by the ankle/foot and knee/lower leg. The locations and the types of injuries were not significantly different between the two groups (P=0.428 and 0.310, respectively). The rate of admission was higher in period I than in period II (P=0.006). The times of ED visits and the rates of fractures did not differ significantly between the two groups (P=0.267 and 0.432, respectively). The rate of pain scoring documentation on EMR nursing charts increased significantly, from 1.4% to 51.6% (P<0.001).

Survey results of the perception of pain management by physicians and nurses

Of the ED physicians and nurses, 93.5% responded to the survey. The responders were 11 emergency physicians (residents and boardcertified staff) and 32 emergency room registered nurses. Of them, 72.1% were women, and the age group of 20 to 29 years was the most common (58.1%). Table 2 shows the survey results. The respondents answered in the middle level for appropriateness of pain management and difficulty of pain assessment. The cause of inappropriate pain management was thought to be due mainly to ED crowding, not low recognition and lack of pain assessment. Education experience in pain assessment was reported by 46.5%. Several methods for early pain management in the ED were suggested: communication between healthcare providers for pain management and the use of standing orders for pain control.

Rate of analgesic prescription and time to analgesic prescription in periods I and II

Of the 1,739 patients, 427 (24.6%) were prescribed analgesics during entire combined period. The analgesic prescription was significantly higher in period II than period I (difference 8.5%, P<0.001) (Table 3). According to injury severity, the analgesic prescription rate for mild injuries increased significantly by 7.5% and that for moderate-to-severe injuries increased by 8.1% after intervention (Table 3). The difference was even more pronounced in patients who received analgesics within 2 hours (difference 10.3% and 13.2% in all participants and moderate-to-severe injury, respectively) (Fig. 3). The mean time to prescription decreased by 52.6 minutes among all patients with extremity injuries, and the time to prescription decreased by 65.8 minutes among patients with moderate and severe injuries (Table 3 and Fig. 4). The analgesic prescription rate after intervention was significantly increased in the following groups: age 19 to 39 years, female patients, no fracture, knee/lower leg injuries, and ankle/foot injuries; the prescription rate was also increased in patients regardless of the time of day of presentation to the ED, regardless of whether the patient was admitted or discharged, and regardless of the injury severity. The time to prescription was significantly decreased in the following groups: age 19 to 39 years, male patients, fractures, moderate-to-severe injury, hip/thigh injuries, knee/lower leg injuries; the time was also decreased regardless of the time of day of presentation to the ED, and regardless of whether the patient was admitted or discharged.

Predictors of prescription of analgesics by physician

Table 4 shows the multivariable analyses for the prescription of analgesics. Using variables with P-values >0.2, age, sex, QI activity, injury severity, any extremity fracture, patients who were hospitalized, and location of the injury were analyzed as significant predictors for analgesic prescription. The rate of analgesic prescription was higher in period II than in period I (odds ratio, 1.934; 95% confidence interval, 1.504 to 2.488).

DISCUSSION

In this study, an ED-based QI activity for pain management in acute extremity injuries was effective in increasing the rate of analgesic prescriptions. The time to prescription was also shortened significantly after the simple intervention.
To increase the prescription rate of analgesics, it is important to evaluate the pain; this is the first stage of pain management. Unfortunately, the prevalence of pain evaluation in the nursing records before the intervention was low, less than 1.4%. Thus, the purpose of the study was to increase the rate of pain scoring documentation in EMRs. After the simple intervention, the pain scoring increased, up to 50%, and the time to prescription decreased by more than 50 minutes. Interestingly, the prescription rate of analgesics was more significantly increased in patients with minor injuries, and the time to prescription was significantly improved in patients with moderate-to-severe injuries, after the intervention. Previous studies have reported that younger and chronic pain patients received more opioids and other drug prescriptions at the time of discharge, and fewer analgesic medications were prescribed in compromised patients and elderly patients [8]. The rates of prescription of pain medication were higher in elderly patients, in men, in moderate and severe injuries, in fractures, in upper extremity long-bone injuries, and in subsequently hospitalized patients in this study. In addition, patients in the intervention group were twice as likely to be prescribed pain medication compared to patients in the non-intervention group. These results are readily understandable in comparison with the results of a recent multicenter study on pain management according to the type of fracture, which suggested that analgesics are prescribed at a higher rate because long-bone fractures are more common in elderly patients [9].
Pain management is of interest in many areas of medicine, and many studies are underway to develop guidelines for pain control, to assess the adequacy of analgesics, and to manage them in particular patient groups [10-13]. Problems with oligoanalgesia in the ED have been reported in previous studies. Berben et al. reported that the average number of patients complaining of pain in the ED was 88.5%, and that two-thirds of the trauma patients also complained of moderate-to-severe pain [2]. Pain relief at discharge was effective in approximately 37% of patients, 46% reported no change, and 17% reported increased pain. Paul et al. determined the efficacy of pain scores in ED trauma patients; 53% of patients were treated with analgesics, and 60% of them had pain scores [4]. Their study showed that through pain assessments, pain medications were administered to people with severe pain [4]. In a prospective blinded observational study, pain assessment and control was even worse than in prior retrospective studies [14]. Additionally, opioids are often recommended for moderate-to-severe pain, and the rate of administration is high; our study also showed a high rate of opioid use in fractures and patients with moderate-to-severe pain [15]. In a study analyzing the use of analgesics in extremity or clavicle fractures, 64% of all patients received analgesics and 42% received narcotic analgesics. Moreover, 73% of patients with moderate or severe pain received an analgesic and 54% received narcotic analgesics [16]. In this study, the prescription rate of analgesics for the fracture group was not increased to the same extent as the increased documentation of pain score. There are many reasons why the prescription rate might not have risen sufficiently: First, some ED staff could not attend the QI education and group meeting due to work schedules, and the education was not an essential program for all staff. Second, any feedback or monitoring of QI activity was performed during the intervention. Because pain documentation by the triage nurse was not obligatory during the QI activity, the rate of pain score documentation was only approximately 50%. Considering that the prescription rate of pain medication in the group with a pain recording was 34.9%, which is higher than that for all subjects, the prescription rate is expected to rise as the pain rate increases.
Improved pain management in this study was achieved by a survey about pain management in the ED, ED staff education, and changing the practice of the triage nurse’s documentation of pain scores in the EMRs. According to the results of the survey, the perception of ED pain management by physicians and nurses was inconsistent with the low analgesic prescription rate during the study period. Although the healthcare providers evaluated a middle level of appropriateness, the prescription rate of analgesics was only approximately 20% before the QI activity. This mismatch in the results may reflect a low perception for the need of pain control. For this reason, the ED-based QI activity included education about pain management for healthcare providers: the current status of pain control in the ED, the importance of pain management, and methods of pain assessment. An important component of the QI activity was to change the default value from ‘no’ to ‘yes’ for pain scoring. Because the emergency room operates 24 hours/day, 365 days/year, and includes a staff of various occupations, it is important to use objective pain scores to share the patient’s condition among healthcare providers. The benefits of pain assessment have been demonstrated in several studies [17,18]. Studies have shown significant pain reduction at the hospital level after pain medication was prescribed through a pre-hospital pain assessment. A study also showed an increase in prescription rates for pain medications in post-operative pain patients after a QI activity for post-operative pain control [17,18]. The incidence of pain assessment, reevaluation, and pain score recording was found to be generally associated with reduced pain time, as in our study [19,20]. The reduction in analgesics administration time through these pain medication improvement activities has also been shown in pediatric studies [21].
This study has several limitations. First, because it was a retrospective single-center study, it could not reflect the variable groups of patients among different EDs. However, the study included more than 1,700 isolated patients with extremity injury in the ED, and the characteristics of participants did not differ between periods. Second, the threshold for pain control was not defined as the patients’ subjective pain score, but a researcher’s decision based on injury severity using ICD-10 codes. Because only 1.4% before the intervention and approximately half of the patients after the intervention had pain scoring by the triage nurse, it was difficult to compare appropriate pain control by the patients’ pain during the two periods. For this reason, we used the ICD-10 diagnosis to compare the two groups. The distribution of diagnoses was similar in both periods. Third, the time to prescription was used instead of the time to analgesic injection. It was not possible to determine accurate analgesic injection times. The time to injection is affected by various factors, such as the transfer time for the medication, time to intravenous access, and ED crowding. We focused on the time to prescription by a doctor after the QI activity. The mean time to a prescription was approximately 60 minutes, which could be considered a long time for early pain control. The time to prescription was defined as the time from ED registration to prescription of an analgesic by a doctor. The time from ED registration to triage was approximately 10 to 20 minutes, and the time from triage to doctor examination was 20 to 30 minutes in this hospital. Therefore, it can be assumed that the time from examination to prescription was improved to within 30 minutes. Fourth, this study did not exert adequate effort, such as creating posters, inviting personal feedback, or requiring an essential education program, to ensure that all ED staff received the intervention. The authors intentionally wanted to achieve appropriate pain management with a simple intervention. Therefore, modifying the EMR pain score recording method and employing a simple intervention activity of monthly meetings is meaningful and can lead to pain relief and decreased times to prescription. Considering that the analgesics prescription rate was not sufficiently improved in the present study, an increased number of and more diverse intervention activities are required to meet a future goal of increased analgesic prescriptions.
In summary, ED-based QI activities, including a change in pain score documentation in the EMR, can improve the rate of analgesic prescription and time to prescription for patients with extremity injuries in the ED.

CONFLICT OF INTEREST

No potential conflict of interest relevant to this article was reported.

REFERENCES

1. Pierik JG, IJzerman MJ, Gaakeer MI, et al. Pain management in the emergency chain: the use and effectiveness of pain management in patients with acute musculoskeletal pain. Pain Med 2015; 16:970-84.
crossref pmid pdf
2. Berben SA, Meijs TH, van Dongen RT, et al. Pain prevalence and pain relief in trauma patients in the accident & emergency department. Injury 2008; 39:578-85.
crossref pmid
3. Carroll KC, Atkins PJ, Herold GR, et al. Pain assessment and management in critically ill postoperative and trauma patients: a multisite study. Am J Crit Care 1999; 8:105-17.
pmid
4. Silka PA, Roth MM, Moreno G, Merrill L, Geiderman JM. Pain scores improve analgesic administration patterns for trauma patients in the emergency department. Acad Emerg Med 2004; 11:264-70.
crossref pmid
5. Todd KH, Ducharme J, Choiniere M, et al. Pain in the emergency department: results of the pain and emergency medicine initiative (PEMI) multicenter study. J Pain 2007; 8:460-6.
crossref pmid
6. Hedderich R, Ness TJ. Analgesia for trauma and burns. Crit Care Clin 1999; 15:167-84.
crossref pmid
7. Brooks JM, Titler MG, Ardery G, Herr K. Effect of evidence-based acute pain management practices on inpatient costs. Health Serv Res 2009; 44:245-63.
crossref pmid pmc
8. Heins JK, Heins A, Grammas M, Costello M, Huang K, Mishra S. Disparities in analgesia and opioid prescribing practices for patients with musculoskeletal pain in the emergency department. J Emerg Nurs 2006; 32:219-24.
crossref pmid
9. Siddiqui A, Belland L, Rivera-Reyes L, et al. A multicenter evaluation of emergency department pain care across different types of fractures. Pain Med 2017; 18:41-48.
crossref pmid pmc pdf
10. Simone CB 2nd, Vapiwala N, Hampshire MK, Metz JM. Cancer patient attitudes toward analgesic usage and pain intervention. Clin J Pain 2012; 28:157-62.
crossref pmid pmc
11. Liu Z, Lian Z, Zhou W, et al. National survey on prevalence of cancer pain. Chin Med Sci J 2001; 16:175-8.
pmid
12. Ko A, Harada MY, Smith EJ, et al. Pain assessment and control in the injured elderly. Am Surg 2016; 82:867-71.
pmid
13. Samuel N, Steiner IP, Shavit I. Prehospital pain management of injured children: a systematic review of current evidence. Am J Emerg Med 2015; 33:451-4.
crossref pmid
14. Ducharme J, Barber C. A prospective blinded study on emergency pain assessment and therapy. J Emerg Med 1995; 13:571-5.
crossref pmid
15. Schneider C, Yale SH, Larson M. Principles of pain management. Clin Med Res 2003; 1:337-40.
crossref pmid pmc
16. Brown JC, Klein EJ, Lewis CW, Johnston BD, Cummings P. Emergency department analgesia for fracture pain. Ann Emerg Med 2003; 42:197-205.
crossref pmid
17. Gerhardt RT, Reeves PT, Kotwal RS, Mabry RL, Robinson JB, Butler F. Analysis of prehospital documentation of injury-related pain assessment and analgesic administration on the contemporary battlefield. Prehosp Emerg Care 2016; 20:37-44.
crossref pmid
18. Stanek JJ, Renslow MA, Kalliainen LK. The effect of an educational program on opioid prescription patterns in hand surgery: a quality improvement program. J Hand Surg Am 2015; 40:341-6.
crossref pmid
19. Hatherley C, Jennings N, Cross R. Time to analgesia and pain score documentation best practice standards for the emergency department: a literature review. Australas Emerg Nurs J 2016; 19:26-36.
crossref pmid
20. Steinberg PL, Nangia AK, Curtis K. A standardized pain management protocol improves timeliness of analgesia among emergency department patients with renal colic. Qual Manag Health Care 2011; 20:30-6.
crossref pmid
21. Iyer SB, Schubert CJ, Schoettker PJ, Reeves SD. Use of qualityimprovement methods to improve timeliness of analgesic delivery. Pediatrics 2011; 127:e219-25.
crossref pmid

Fig. 1.
Flow of quality improvement activity. ED, emergency department; EMR, electronic medical record.
ceem-17-260f1.tif
Fig. 2.
Study participants. Injury severity was categorized according to the International Classification of Disease 10th revision code. Superficial and open wounds were defined as minor injuries, and other injuries except superficial and open wounds were defined as moderate-to-severe injuries.
ceem-17-260f2.tif
Fig. 3.
The prescription rate was significantly increased after intervention. (A) Black dotted lines are the average prescription rate: 20.3% in 2013 and 28.8% in 2014 (P<0.001). Gray dotted lines are the average prescription rate within 2 hours: 16.3% in 2013 and 26.6% in 2014 (P<0.001). (B) The prescription rate increased among patients with moderate and severe injuries. Black dotted lines are the average prescription rate: 36.4% in 2013 and 44.5% in 2014 (P=0.026). Gray dotted lines are the average prescription rate within 2 hours: 27.9% in 2013 and 41.1% in 2014 (P<0.001).
ceem-17-260f3.tif
Fig. 4.
Time from registration to prescription of analgesics before and after quality improvement activity. (A) The time to prescription decreased from 111.6 to 64.0 minutes among all patients with extremity injuries who received analgesics (P<0.001). (B) The time to prescription decreased from 128.8 to 63.0 minutes among patients with moderate and severe injuries (P<0.001). SE, standard error.
ceem-17-260f4.tif
Table 1.
Demographics of participants
Characteristics Period I (n = 867) Period II (n = 872) P-value
Age (yr) 44.6 ± 18.3 45.2 ± 18.5 0.519
Age group (yr) 0.706
 19–39 414 (47.8) 396 (45.4)
 40–59 262 (30.2) 284 (32.6)
 60–79 153 (17.6) 151 (17.3)
 80–99 38 (4.4) 41 (4.7)
Sex, male 443 (51.1) 392 (45) 0.011
Time of emergency department visit 0.267a)
 08:00–17:59 375 (43.3) 401 (46)
 00:00–07:59/18:00–23:59 492 (56.7) 471 (54)
Hospitalized 116 (13.4) 80 (9.2) 0.006a)
Fracture 215 (24.8) 202 (23.2) 0.432
Location of injury 0.428
 Shoulder and upper arm 63 (7.3) 61 (7.0)
 Elbow and forearm 88 (10.1) 100 (11.5)
 Wrist and hand 321 (37.0) 297 (34.1)
 Hip and thigh 56 (6.5) 59 (6.8)
 Knee and lower leg 144 (16.6) 129 (14.8)
 Ankle and foot 195 (22.5) 226 (25.9)
Injury severity 0.310
 Minor injury (superficial or open wound) 502 (57.9) 483 (55.4)
 Moderate-to-severe injuryb) 365 (42.1) 389 (44.6)
Pain scoring on chart 14 (1.6) 450 (51.6) < 0.001
Prescription of analgesics 176 (20.3) 251 (28.8) < 0.001

Values are presented as mean±standard deviation or number (%).

a) Fisher exact test.

b) Fracture, dislocation, injury of nerve, vessel and muscle, crushing or amputation.

Table 2.
Results of survey about perception of emergency physicians and nurses regarding pain management in the emergency department
Questions regarding the emergency department setting Value
Appropriateness of pain management, Likert scalea) 3.3 (3.1–3.5)
How difficult was pain assessment? Likert scalea) 2.9 (2.6–3.1)
Education experience of pain assessment, yes 20 (46.5)
Cause of inappropriate pain management, Likert scalea)
 Low recognition of the importance of pain management 2.5 (2.2–2.8)
 Lack of pain assessment and communication about patients’ pain 2.6 (2.3–2.8)
 Delay in pain medication preparation 3.2 (2.8–3.6)
 Emergency department crowding 4.2 (4.0–4.5)
Minimum score for analgesics administration
 3 Or more 2 (4.7)
 4 Or more 18 (41.9)
 5 Or more 12 (27.9)
 6 Or more 2 (4.7)
 7 Or more 9 (20.8)
Method for early pain management in our emergency department (multiple choice)
 Communication between healthcare provider for pain management 20 (46.5)
 Use of pain score when communicating between healthcare providers 15 (34.9)
 Early pain medication prescription by triage nurse 9 (20.9)
 Use of standing order for pain control 18 (41.9)

Values are presented as mean (95% confidence interval) or number (%).

a) 1-5 points: 1 point means never agree, 3 points means neutral, and 5 points means absolutely agree.

Table 3.
Comparison of the prescription rate of analgesics and time to prescription between periods I and II
Prescription rate of analgesics
Time to prescription (min)
Period I Period II P-value Period I Period II P-value
Patients who receive analgesics 176/867 (20.3) 251/872 (28.8) < 0.001 116.6 ± 225.6 64.0 ± 75.5 < 0.001
Age group (yr)
 19–39 47/414 (11.4) 79/396 (19.9) 0.001 111.8 ± 132.8 61.4 ± 73.6 0.020
 40–59 67/262 (25.6) 88/284 (31.0) 0.184 99.0 ± 217.8 62.6 ± 80.4 0.196
 60–79 46/153 (30.1) 59/151 (39.1) 0.117 104.6 ± 191.0 59.6 ± 46.3 0.125
 80–99 16/38 (42.1) 25/41 (61.0) 0.117 239.2 ± 451.3 87.5 ± 111.3 0.206
Sex
 Male 105/443 (23.7) 113/392 (28.8) 0.098 119.0 ± 242.3 70.2 ± 91.0 0.033
 Female 71/424 (16.7) 138/480 (28.8) < 0.001 113.1 ± 242.3 58.9 ± 59.7 0.067
Time of emergency department visit
 08:00–17:59 84/375 (22.4) 136/401 (33.9) < 0.001 130.2 ± 287.7 62.0 ± 70.0 0.035
 00:00–07:59/18:00–23:59 92/492 (18.7) 115/471 (24.4) 0.034 104.2 ± 148.6 66.4 ± 81.6 0.030
Hospitalized
 Admission 57/116 (49.1) 53/80 (66.3) 0.020 182.8 ± 358.0 83.6 ± 104.0 0.049
 Discharge/transfer/AMA 119/751 (15.8) 198/792 (25.0) < 0.001 84.9 ± 107.4 58.7 ± 65.1 0.017
Fracture
 Fracture 105/215 (48.8) 113/202 (55.9) 0.170 137.2 ± 275.1 68.7 ± 84.6 0.016
 No fracture 71/652 (10.9) 138/670 (20.6) < 0.001 86.2 ± 115.1 60.2 ± 67.1 0.082
Injury severity
 Minor 43/502 (8.6) 78/483 (16.1) < 0.001 79.0 ± 108.0 66.3 ± 81.1 0.505
 Moderate-to-severe 133/365 (36.4) 173/389 (44.5) 0.026 128.8 ± 251.3 63.0 ± 73.0 0.004
Location of injury
 Shoulder and upper arm 26/63 (41.3) 33/61 (54.1) 0.208 55.6 ± 65.6 55.2 ± 47.7 0.981
 Elbow and forearm 34/88 (38.6) 43/100 (43.0) 0.556 51.6 ± 45.6 60.3 ± 56.1 0.454
 Wrist and hand 31/321 (9.7) 44/297 (14.8) 0.064 99.8 ± 133.1 65.9 ± 83.7 0.216
 Hip and thigh 28/56 (50.0) 33/59 (55.9) 0.577 276.6 ± 478.1 83.2 ± 93.5 0.044
 Knee and lower leg 29/144 (20.1) 45/129 (34.9) 0.007 119.3 ± 141.7 48.8 ± 40.3 0.014
 Ankle and foot 28/195 (14.4) 53/226 (23.5) 0.019 108.2 ± 135.9 71.9 ± 101.7 0.221

Values are presented as number (%) or mean±standard deviation.

AMA, against medical advice.

Table 4.
Predictors of prescription of analgesics among patients with extremity injury in the emergency department
Variable Odds ratio 95% Confidence interval
Lower Upper
Age 1.010 1.003 1.018
Sex, male 1.524 1.179 1.970
Quality improvement activity, post-intervention period 1.934 1.504 2.488
Injury severity, moderate and severe injury 2.220 1.661 2.968
Isolated extremity fracture 3.163 2.359 4.239
Admission 2.604 1.756 3.863
Location of injury
 Shoulder and upper arm 2.884 1.816 4.579
 Elbow and forearm 2.110 1.396 3.188
 Wrist and hand 0.596 0.415 0.856
 Hip and thigh 1.312 0.760 2.266
 Knee and lower leg 1.302 0.882 1.920
 Ankle and foot Reference - -
Editorial Office
The Korean Society of Emergency Medicine
101-3104, Brownstone Seoul, 464 Cheongpa-ro, Jung-gu, Seoul 06351, Korea
TEL: +82-2-3676-1333   FAX: +82-2-3676-1339   E-mail: office@ceemjournal.org
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © by The Korean Society of Emergency Medicine. All rights reserved.                 powerd by m2community