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. Author manuscript; available in PMC: 2020 Mar 20.
Published in final edited form as: Am J Emerg Med. 2017 Jul 13;36(1):88–92. doi: 10.1016/j.ajem.2017.07.037

Opioid doses and acute care utilization outcomes for adults with sickle cell disease: Emergency department versus acute care unit

Robert E Molokie a,b,c,*, Chariz Montminy d, Corissa Dionisio e, Muhammad Ahmen Farooqui f, Michel Gowhari a, Yingwei Yao g,h, Marie L Suarez g, Miriam O Ezenwa g,h, Judith M Schlaeger i, Zaijie J Wang c, Diana J Wilkie g,h
PMCID: PMC7083150  NIHMSID: NIHMS899227  PMID: 28802541

Abstract

Background:

Acute care units (ACUs) with focused sickle cell disease (SCD) care have been shown to effectively address pain and limit hospitalizations compared to emergency departments (ED), the reason for differences in admission rates is understudied. Our aim was compare effects of usual care for adult SCD pain in ACU and ED on opioid doses and discharge pain ratings, hospital admission rates and lengths of stay.

Methods:

In a retrospective, comparative cohort, single academic tertiary center study, 148 adults with sickle cell pain received care in the ED, ACU or both. From the medical records we documented opioid doses, unit discharge pain ratings, hospital admission rates, and lengths of stay.

Findings:

Pain on admission to the ED averaged 8.7 ± 1.5 and to the ACU averaged 8.0 ± 1.6. The average pain on discharge from the ED was 6.4 ± 3.0 and for the ACU was 4.5 ± 2.5. 70% of the 144 ED visits resulted in hospital admissions as compared to 37% of the 73 ACU visits. Admissions from the ED or ACU had similar inpatient lengths of stay. Significant differences between ED and ACU in first opioid dose and hourly opioid dose were noted.

Conclusions:

Applying guidelines for higher dosing of opioids for acute painful episodes in adults with SCD in ACU was associated with improved pain outcomes and decreased hospitalizations, compared to ED. Adoption of this approach for SCD pain in ED may result in improved outcomes, including a decrease in hospital admissions.

Keywords: Pain, Acute care unit, Emergency department, Sickle cell disease, Opioid, Hospital admission

1. Introduction

1.1. Background

Sickle cell disease (SCD) is caused by a point mutation of the β-globin gene, causing a valine to replace glutamic acid at position 6. As a result, when sickle hemoglobin is deoxygenated, it is able to polymerize into stiff rod like fibers within the red blood cell, causing its shape to be distorted, and on light microscopy may have the appearance of a sickle. In addition to the shape change, it causes the lysis of red cells, impairs blood flow, causing ischemia, and many other physiological changes, including the hallmark characteristic of the disease: pain.

The majority of the estimated 100,000 people in the U.S. living with SCD experiencing severe acute pain episodes go to an emergency department (ED) for care [1-3]. Uncontrolled, severe pain is the most common reason for more than 225,000 ED visits annually, and is the leading cause for admission to the hospital for those with SCD [4-8]. In the U.S. alone, the annual combined ED and inpatient charges for SCD have been estimated to be $2.4 billion [9].

In some hospitals patients are able to go to specialized acute care units (ACUs) for SCD [9]. Patients cared for in these ACUs have a much lower hospital admission rate than those cared for in an ED [10,11]. However, the reason for the difference in admission rates between these two types of units has not been well explored.

1.2. Goal of this study

We were not able to find any studies that quantified the opioid doses given in an ED compared to an ACU, which if different, may help explain the differences in admission rates, and could help establish new treatment guidelines for SCD. The aim of our study was to compare effects of usual care for SCD pain of adults in the ACU and the ED of the same hospital on opioid doses, ACU and ED discharge pain ratings, hospital admission rates and lengths of stay. We hypothesized that opioid doses would be higher for patients receiving usual care in the ACU than in the ED and that pain ratings at discharge, hospital admission rates, and lengths of stay would be lower for patients receiving care in the ACU than the ED.

2. Methods

2.1. Design

We conducted a retrospective, paired (when available) comparative cohort study. We abstracted from the electronic medical record data for all pain-related visits to the ED and ACU by subjects with SCD during the 2 years of study participation. From this abstracted dataset, we then extracted data for only the first visit to the ED and the first visit to the ACU for each patient. The study protocol was approved by the University of Illinois at Chicago Institutional Review Board.

2.2. Setting

The ED and ACU are both part of the University of Illinois Hospital and Health Sciences System. The ED is the hospital's 24-hour Emergency Department. The ACU is independent of the ED and managed by separate administrators. The ACU is located within the Sickle Cell Clinic of the University of Illinois Hospital, and established as an alternative to the ED but open 8 am to 5 pm, Monday through Friday, during the study period. Patients admitted to the ACU are those with uncomplicated pain crises who are unable to manage their pain at home. The ACU healthcare providers have expertise managing SCD pain crises. Since the ACU is located within the Sickle Cell Clinic, patients have ready access to their regular physicians with SCD expertise. Patients experiencing complicated pain crises (e.g., severe chest pain or headache, fever, crisis due to pregnancy, among others) are not admitted to the ACU and must be evaluated and treated in the ED. Patients who require pain crisis care after the hours of the ACU are admitted to the ED.

2.3. Sample

The study subjects were patients who received their care at the (University of Illinois Hospital) Sickle Cell Clinic. Subjects met the following criteria: 1) age 18 years or older, 2) diagnosis of SCD, 3) English speaking, 4) consented to participate in a SCD pain study, and 5) received care from the ED or ACU during the 2-years of their participation in the SCD pain study.

The sample of 148 subjects was nearly two-thirds female, and the mean age of the sample was 35.1 ± 11.9 years. Table 1 presents the demographic characteristics of the subjects. From Table 1, we observed that there were no significant demographic differences between subjects utilizing the ED only, ACU only, or both ED and ACU.

Table 1.

Demographic characteristics of participants receiving care in the emergency department (ED), acute care unit (ACU) or both settings (N = 148).

Overall Both ED Only ACU Only p
Value
Gender
 Male 52 (35%) 22 (32%) 29 (39%) 1 (25%) 0.67
 Female 96 (65%) 47 (68%) 46 (61%) 3 (75%)
SC type
 HbSS 110 (74%) 49 (71%) 59 (79%) 2 (50%)
 Hb SC 21 (14%) 10 (14%) 10 (13%) 1 (25%) 0.34
Other (SB+, SBTh, …) 17 (12%) 10 (14%) 6 (8%) 1 (25%)
Race/ethnicity
Race  White 2 (1%) 2 (3%) 0 (0%) 0 (0%)
    Black 145 (98%) 66 (96%) 75 (100%) 4 (100%) 0.18
    Mixed 1 (1%) 1 (1%) 0 (0%) 0 (0%)
Ethnicity  Hispanic 5 (3%) 2 (3%) 3 (4%) 0 (0%) 1
    Non-Hispanic 143 (97%) 67 (97%) 72 (96%) 4 (100%)
Age, mean (SD) 35.1 (11.9) 34.8 (11.7) 35.0 (12.2) 40.5 (11.0) 0.65

2.4. Procedure

Trained by the PhD prepared principal investigator (PI) and supervised by a PhD prepared project director, two reviewers, a research assistant and an expert research nurse, extracted data from the subjects' electronic medical records. The abstracted data included the reason for the visit, presence of pain, medications administered, and pain intensity values (called pain hereafter) at admission and discharge, which the clinical staff obtained using a 0–10 verbal scale, with 0 as no pain and 10 as worst pain. Specifically, the medication data included the analgesic drugs, doses, and routes for the first and subsequent doses administered during ED and ACU visits. We also collected the ACU and ED admission and discharge times and disposition and the hospital admission and discharge dates. In 5 occasions (2 for ACU and 3 for ED), patients discharged home returned to ED on the same day or the next day. In all 5 occasions, the patient was admitted to hospital. These hospitalizations were attributed to the corresponding ACU or ED visit.

Inter-rater reliability of the data abstraction was assessed by a third reviewer, another PhD prepared nurse researcher who was also trained by the PI. The third reviewer completed independent extraction of the data for 10% of the 1281 ED and ACU visits, which were randomly selected by the study statistician and were unknown to the first two reviewers. The study statistician calculated the inter-rater reliability of the data abstraction, which was 92%. At the time of the data abstraction, all three reviewers were blind to the study goals, but they were not blind to the setting of care since they were documenting data for all pain care the subject received during the pain study period.

2.5. Analysis

Data analysis was completed using statistical software R. Descriptive statistics (mean, standard deviation, count, and frequency) were obtained for key demographic variables and baseline measures. Fisher's tests and ANOVA were used to compare demographics of patients visiting ED exclusively, ACU exclusively, and both. To compare patient outcomes between ED and ACU, we performed mixed-effect regression of patient outcomes using initial pain and setting as predictors. We used a subject-specific random effect term to account for the overlap of subjects between two study settings. The amount of missing data was minimal (<1%). For missing data processing, we utilized multiple imputation to generate multiple completed datasets, upon which inference was performed and then aggregated.

We utilized two approaches to examine the dosage of opioids that subjects received. In our first approach, we converted all dosages into intravenous (IV) morphine sulfate equivalent (IVMSEQ) values, by equating a 1 mg hydromorphone dose with a 5 mg morphine dose. This conversion enables comparison of the dosages of subjects given different drugs. In our second approach, we compared the first and hourly opioid doses received by a subject against the recommended dose levels for morphine and hydromorphone and classified the dosages into four levels: below standard 0.05 mg/kg/2 h of morphine (<0.01 mg/kg/2 h for hydromorphone); standard dosing 0.05–0.1 mg/kg/2 h for morphine (0.01–0.015 mg/kg/2 h for hydromorphone) [12]; augmented 0.1–0.15 mg/kg/2 h of morphine (0.015–0.0.025 mg/kg/2 h of hydromorphone) [13]; and enhanced >0.15 mg/kg/2 h of morphine (0.025 mg/kg/2 h of hydromorphone). For a subject receiving both morphine and hydromorphone, we classified their opioid dosage level based on the dominant opioid they received.

3. Results

3.1. Pain at admission and discharge

Appearing in Table 2 are the statistics for pain scores at admission to, and discharge from the two study settings. The initial admission pain (called initial pain hereafter) for the ED visits averaged 8.7 ± 1.5 and for the ACU visits averaged 8.0 ± 1.6. The average pain on discharge from the ED was 6.4 ± 3.0 whereas for the ACU the average pain on discharge was 4.5 ± 2.5. Whereas the average initial pain for the ED was slightly (0.7 point) higher than the ACU; at discharge however, the gap grew to a 1.9-point difference. The plot of initial pain versus discharge pain for these two settings (Fig. 1) clearly shows that given the same initial pain, an ED subject often had much higher pain at discharge than an ACU subject.

Table 2.

Pain ratings, hospital admission rates, length of stay (LOS) and medication by emergency department (ED) and acute care unit (ACU).

ED
(N = 144)
ACU
(N = 73)
Pain rating Initial pain, mean (SD) 8.7 (1.5) 8.0 (1.6)
Discharge pain, mean (SD) 6.4 (3.0) 4.5 (2.5)
Hospitalization Admission, n (%) 101 (70%) 27 (37%)
LOSa, mean (SD) 8.7 (7.1) 9.3 (5.9)
First opioid Morphine, n (%) 97 (67%) 54 (74%)
Hydromorphone, n (%) 40 (28%) 19 (26%)
No opioid, n (%) 7 (5%) 0 (0%)
Morphine dose Hourly, mean (SD), mg/h 2.8 (2.6) 4.0 (2.3)
Hydromorphone dose Hourly, mean (SD), mg/h 1.0 (0.8) 1.5 (1.0)
Opioid dose First dose, mean (SD), IVMSEQ 6.8 (3.8) 9.2 (5.4)
Total, mean (SD), IVMSEQ 19.5 (21.0) 33.6 (27.2)
Hourly, mean (SD), IVMSEQ/h 3.8 (3.5) 5.3 (3.8)
First dose Below standard, n (%) 27 (19%) 5 (7%)
Standard, n (%) 51 (35%) 22 (30%)
Augmented, n(%) 30 (21%) 22 (30%)
Enhanced, n (%) 36 (25%) 24 (33%)
Hourly dose Below standard, n (%) 46 (32%) 9 (12%)
Standard, n (%) 42 (29%) 16 (22%)
Augmented, n (%) 21 (15%) 23 (32%)
Enhanced, n (%) 35 (24%) 25 (34%)

IVMSEQ = intravenous morphine sulfate equivalent.

a

LOS statistics are average of admitted patients.

Fig. 1.

Fig. 1.

Initial and discharge pain ratings in two settings: emergency department (ED) and acute care unit (AC).

The estimated coefficients in Table 3 show that both initial pain and setting were highly statistically significant (p < 0.001). Not surprisingly, a higher initial pain predicted a higher discharge pain. The contrast between the two settings confirmed what we observed in Fig. 1 with an ED subject having a discharge pain 1.34 points higher than an ACU subject on average given the same initial pain.

Table 3.

Regression analysis of patient outcomes and medication.

Outcome Predictor Estimate Std
error
z
value
p
value
Discharge pain Setting (ref = ACU) 1.34 0.35 3.86 <0.001
Initial pain 0.59 0.13 4.67 <0.001
Hospitalization rate Setting (ref = ACU) 1.42 0.37 3.81 <0.001
Initial pain 0.22 0.12 1.87 0.06
LOS Setting (ref = ACU) −1.00 1.07 −0.94 0.36
Initial pain 0.49 0.40 1.24 0.23
First opioid dosage Setting (ref = ACU) −2.52 0.59 −4.28 <0.001
Initial pain 0.30 0.20 1.51 0.14
Total dosage Setting (ref = ACU) −10.68 3.53 −3.03 0.004
Initial pain 1.04 1.00 1.04 0.30
Visit length (ED) 2.26 0.59 3.80 <0.001
Visit length (ACU) 5.19 1.57 3.31 0.002
Hourly dosage Setting (ref = ACU) −1.75 0.38 −4.66 <0.001
Initial pain 0.31 0.15 2.05 0.04
First dosage category Setting (ref = ACU) −0.95 0.32 −2.92 0.004
Initial pain 0.11 0.11 1.03 0.30
Hourly dosage category Setting (ref = ACU) −1.34 0.34 −3.96 <0.001
Initial pain 0.24 0.11 2.11 0.03

ED = emergency department, ACU = acute care unit. Dosage category = below standard, standard, augmented, enhanced.

3.2. Hospital admissions and inpatient length of stay (LOS)

The subject's pain at discharge determined whether a subject needed to be admitted to the hospital. In our study sample, subjects with discharge pain greater than 5 were admitted to the hospital 82% (82% in ED and 84% in ACU) of the time, whereas those with lower discharge pain were only admitted 25% (40% in ED and 13% in ACU) of the time. Among those admitted into the hospital after first going to ED, the LOS was 8.8 ± 7.4 for patients with high discharge pain and 8.0 ± 5.3 for those with low (≤5) discharge pain. For patients that went to ACU, the LOS was 5.7 ± 2.8 and 10.3 ± 6.2, respectively.

The results of the hospital admission and LOS also appear in Table 2. About 70% of the 144 ED visits resulted in the subjects being admitted to the hospital, whereas 37% of the 73 ACU visits resulted in the subjects being admitted to the hospital. Subjects who were admitted from the ED or ACU had similar average inpatient lengths of stay. More specifically, average LOS for an admitted ED subject was 8.7 ± 7.1 days while that of an admitted ACU subject was 9.3 ± 5.9 days. We applied a mixed-effect regression model using ED or ACU initial pain and setting as predictors to examine the setting difference in hospital admission rates and LOS. The parameter estimates in Table 3 showed that controlling for initial pain, a subject going to ED had a significantly higher (odds ratio = exp(1.42) = 4.1, p < 0.001) chance of being admitted to a hospital than a subject going to ACU. In contrast to the hospitalization rate, we did not find significant associations between the LOS (for those admitted to a hospital) and setting (p = 0.36).

3.3. Medications

Table 2 also shows the results of the comparisons of type of medications administered and opioid dosages in the ED and ACU. In the ED, 67% of the subjects were given morphine first, 28% received hydromorphone first, and the remaining 5% did not receive any opioids. For the ACU, 74% of the subjects were first given morphine and 26% of the subjects were first given hydromorphone. The statistics of hourly morphine and hydromorphone dosages (for those receiving each drug) showed that ACU subjects were given higher dosages.

3.4. IVMSEQ analysis

The mean and standard deviation (SD) of first, total, and hourly dosage received for subjects during visits to ED and ACU appear in Table 2. We observed that ACU had higher values for all three dosage indicators.

Applying a linear mixed effect model to the first dosage, we found that controlling for initial pain, an ACU subject received a significantly higher (2.52 mg IVMSEQ, p < 0.001, Table 3) first dose than an ED subject. For a subject with an initial pain of 8, a difference of 2.52 mg IVMSEQ corresponds to a 40% dosage difference. Somewhat surprisingly, the subject's initial pain seemed to only have a minor effect on the first dosage: a 1-point increase in initial pain was associated with only a 0.30 mg IVMSEQ increase in first dosage (p = 0.14).

We also analyzed the total IVMSEQ dosage given to subjects during their entire visit since dosages most likely would increase as the visit length increased. We also expected IVMSEQ dosages would be different in the two settings, given that ACU appeared to be more aggressive in medicating. Therefore, we examined the initial pain and setting effects and the rates at which the total IVMSEQ dosages increased with the visit length in each setting. The coefficient estimates in Table 3 confirm that in both settings, the total IVMSEQ dosage increased significantly with time (2.26 mg IVMSEQ/h, p < 0.001 for ED and 5.19 mg IVMSEQ/h, p = 0.002 for ACU). Again, the initial pain was not strongly associated with the total dosage (1.04 mg IVMSEQ/1-point, p = 0.30). The ACU subject received a significantly higher IVMSEQ total dosage (10.68 mg higher for a visit of 5 h, a typical visit length, p = 0.004).

A similar model was used to analyze the hourly dosage in the two settings. Initial pain was significantly associated with the hourly dosage (0.31 mg IVMSEQ/h/1-point, p = 0.04). The ACU was significantly higher than ED in hourly dosage, too (1.75 mg IVMSEQ/h, p < 0.001).

3.5. Dosage level analysis

The dosage level statistics shown in Table 2 again confirm that in the ACU there was more aggressive prescribing of opioids, with a much lower percentage of subjects receiving a below standard dose, and much higher percentage of subjects receiving either augmented or enhanced levels of opioids, compared with ED. Furthermore, none of the subjects required naloxone. The regression outcomes in Table 3 show that the differences between ED and ACU first dosage levels and hourly dosage levels were highly significant (p = 0.004 and p < 0.001, respectively).

4. Discussion

The findings of this retrospective usual care study of the opioid doses given to subjects with SCD experiencing acute pain episodes in the ED compared to the ACU are impressive. Controlling for the subjects' pain scores at admission, those who were cared for in the ACU were treated with significantly higher first, hourly, and total IVMSEQ doses compared to the ED. Those subjects who were treated in the ACU were treated with doses of medication that were more consistent with published guidelines for the management of painful episodes in SCD [11,13]. It should be pointed out that none of the subjects required naloxone reversal. The hospitalization rate and discharge pain were significantly lower in the ACU than the ED. Although some authors have reported that those admitted to the hospital from an ACU had a shorter LOS [11], we did not find the difference to be statistically significant in our study.

Recommendations for dosing of opioids in SCD for acute pain episodes have been published by several groups [13,14]. There is, however, a lack of clinical data showing either the effectiveness, or lack of effectiveness, of these doses.

Our findings are observational but show the difference in pain and admission between two settings, with one setting (ACU in this study) more consistently applying the guidelines for higher mg/kg doses of morphine or hydromorphone for management of acute pain episodes of SCD. We grouped patients into one of four mg/kg treatment groups (below standard, standard, augmented, and enhanced). This weight-based dosing allows for a more personalized medication approach, when treatments include hydrophilic drugs such as morphine or hydromorphone, than categorizing patients into those weighing less than 50 kg or more. Using this approach, we found that in the ED 54% of patients received either a below standard or standard first dose, whereas in the ACU only 37% received either of these doses. Conversely, in the ED only 15% of patients received an augmented hourly dose and 24% were treated with an enhanced dose, whereas in the ACU, more than twice (32%) as many received an augmented dose and 34% were treated with an enhanced dose.

Both settings used morphine as the first-choice drug, so drug selection is not the likely explanation for the larger IVMSEQ doses used in the ACU. Surprisingly though, the subject's initial pain seemed to have only a minor effect on the first dose (a 1-point increase in the initial pain was associated with only a 0.30 mg IVMSEQ increase of the first dose). In the ACU, where the staff were trained in treatment of SCD pain, after the response to the first dose was assessed, patients received more than twice as large hourly doses over time (5.19 IVMSEQ/h) than in the ED (2.26 mg IVMSEQ/h). Therefore, we conclude that the ACU clinicians were more aggressive than ED clinicians in prescribing larger opioid doses, a safe practice since no patients required naloxone reversal.

Implementing more effective approaches for controlling acute pain episodes of SCD are urgently needed to improve patients' quality of life and care, decrease the need for healthcare utilization including hospital admissions, and lower medical costs. In 1985, Grady Memorial Hospital in Atlanta opened a specialized, 24-hour unit to care for SCD patients who were having acute pain episodes that they could not control at home, instead of having to use its very busy ED [15]. Due to its dramatic success in decreasing hospital admission rates, similar units have been established throughout the world for adults as well as children with SCD. Although there is a wide variation in their operation, they appear to universally reduce admission rates to the hospital [10,13,16-18] and demonstrate substantial savings [11]. Some have shown a decrease in the inpatient length of stay as well [11]. There are several reasons suggested to explain the success of these specialized units caring only for those with SCD including having staff who choose to and enjoy working with SCD patients on a regular basis, and quicker administration of pain medication. Unfortunately, most people with SCD do not have access to these units, and it would be difficult to implement ACUs universally. However, this study reveals significant differences in the dosing of opioid therapy between the ACU and ED. If larger opioid doses were implemented in the ED for control of SCD pain, it is possible that it would help improve patient care, including a decrease in hospital admissions.

There are limitations to our study. It is important to note that the ACU provided care for patients with uncomplicated pain crises, whereas the ED could have had patients with more complicated pain episodes, which may have contributed to the higher hospital admission rate of patients admitted from the ED. Because this study was a retrospective observational study with medical record review, evidence generated is less generalizable than a prospective double-blind randomized controlled trial. Other limitations may have included confounding patient, provider, or environmental determiners that, at the time of patient care, were not known or measured. Also, medical record reviewers were not blinded to setting of care, which could have led to biasing of results [19,20]. The high inter-rater reliability rate (92%) on 10% of visits randomly selected, however, provides evidence of minimal abstraction bias.

5. Conclusions

Our analysis of practice-based electronic health record data generated important insights about management of acute pain episodes for adults with SCD. Applying guidelines for higher dosing of opioids for acute pain episodes of SCD in the acute care setting was associated with less pain and decreased hospitalization. Adoption of this approach for the treatment of sickle cell pain in the ED may result in improved patient care, including a decrease in hospital admissions. Although not every ED has the resources to have SCD specialists readily available for pain care, most all EDs have sufficient resources to systematically and carefully increase opioid doses to those that provide adequate pain control for adults with SCD and thereby reduce hospital admissions. A prospective randomized controlled trial of guideline-based dosing of opioids for acute pain episodes of SCD is warranted to test the generalizability of our observational findings to additional settings.

Acknowledgements

The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the National Heart Lung and Blood Institute. The final peer-reviewed manuscript is subject to the National Institutes of Health Public Access Policy. The authors thank the patients with sickle cell disease for participating in this study, the staff at the Comprehensive Sickle Cell Center for their continuous support of the study, and the following individuals for their help in data collection: Harriett Wittert and Jesus Carrasco. The authors declare no conflicts of interest. Dr. Wilkie is Chairman and Founder of eNursing 11c, a company with no interests in the study reported in this publication. Dr. Yingwei Yao conducted the data analysis and had full access to the data as did Dr. Diana Wilkie; both take full “responsibility for the integrity of the data and the accuracy of the data analysis.” This study received initial IRB approval at the University of Illinois at Chicago on May 9, 2006, and has been under continuous IRB approval until the present.

This work was supported by the National Institutes of Health [grant number R01HL078536].

Footnotes

The authors declare no conflicts of interest.

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