| Literature DB >> 31488142 |
Daniel C O'Brien1, Daniel Dabbs2, Kathryn Dong3, Paul J Veugelers4, Elaine Hyshka5.
Abstract
BACKGROUND: Overdose deaths can be prevented by distributing take home naloxone (THN) kits. The emergency department (ED) is an opportune setting for overdose prevention, as people who use opioids frequently present for emergency care, and those who have overdosed are at high risk for future overdose death. We evaluated the implementation of an ED-based THN program by measuring the extent to which THN was offered to patients presenting with opioid overdose. We analyzed whether some patients were less likely to be offered THN than others, to identify areas for program improvement.Entities:
Keywords: Emergency department; Opioids; Overdose; Take home naloxone
Mesh:
Substances:
Year: 2019 PMID: 31488142 PMCID: PMC6727417 DOI: 10.1186/s12913-019-4469-3
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Study flow diagram showing identification of ED visits for inclusion, and the frequencies and percentages of ED visits in which take home naloxone was offered and accepted
Characteristics of ED visits for opioid overdose, and associations with offering of take home naloxone kits
| Visit Characteristic ( | Number of ED visits (%) | Unadjusted OR [95% CI]** | |||
|---|---|---|---|---|---|
| Total (n = 342) | Offered THN (n = 168) | Not offered THN ( | |||
|
| |||||
| Male sex | 234 (68.4) | 129 (76.8) | 105 (60.3) | 2.06 [1.27,3.34] | 0.004* |
| Age ( | 38.2 (14.0) | 35.3 (11.1) | 40.9 (15.8) | 0.97 [0.96,0.99] | < 0.001* |
| Resident of inner city† ( | 102 (30.1) | 50 (30.1) | 52 (30.1) | 1.04 [0.66,1.65] | 0.86 |
| No fixed address (n = 339)†† | 23 (6.8) | 12 (7.2) | 11 (6.4) | 1.03 [0.39,2.67] | 0.96 |
| Mental health disorder¥ | 97 (28.4) | 37 (22.0) | 60 (34.5) | 0.62 [0.38,1.01] | 0.054* |
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| Opioid agonist therapy§ | 9 (2.6) | 1 (0.6) | 8 (4.6) | 0.15 [0.02,0.91] | 0.04* |
| Any current opioid prescription | 73 (21.4) | 21 (12.5) | 52 (29.9) | 0.37 [0.22,0.65] | < 0.001* |
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| |||||
| Primary opioid intoxicant ( | |||||
| Pharmaceutical opioid- oral¶ | 77 (29.3) | 14 (10.5) | 63 (48.8) |
| |
| Pharmaceutical opioid- smoked | 7 (2.7) | 3 (2.3) | 4 (3.1) | 3.60 [0.72,18.1] | 0.12 |
| Pharmaceutical opioid- injected | 16 (6.1) | 5 (3.8) | 11 (8.5) | 2.11 [0.62,7.14] | 0.23 |
| Illegal opioid- oral | 12 (4.6) | 5 (3.8) | 7 (5.4) | 3.39 [0.91,12.7] | 0.070 |
| Illegal opioid- smoked | 66 (25.1) | 44 (33.1) | 22 (16.9) | 9.97 [4.66,21.3] | < 0.001* |
| Illegal opioid- injected | 85 (32.3) | 62 (46.6) | 23 (17.7) | 15.1 [6.61,34.3] | < 0.001* |
| Overdosed in public ( | 102 (30.3) | 40 (24.1) | 62 (36.3) | 0.62 [0.39,0.99] | 0.043* |
| Overdose intentional ( | 28 (8.2) | 6 (3.6) | 22 (12.8) | 0.30 [0.13,0.65] | 0.002* |
| Glasgow Coma Scale Score ( | |||||
| Severe (3–8) | 210 (72.2) | 127 (88.2) | 83 (56.5) | 5.60 [2.76,11.3] | < 0.001* |
| Moderate (9–13) | 27 (9.3) | 6 (4.2) | 21 (14.3) | 1.11 [0.37,3.30] | 0.85 |
| Mild (14-15) | 54 (18.6) | 11 (7.6) | 43 (29.3) |
| |
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| Admitted to hospital | 56 (16.4) | 15 (8.9) | 41 (23.6) | 0.35 [0.19,0.65] | 0.001* |
| Left against medical advice‡ | 34 (9.9) | 14 (8.3) | 20 (11.5) | 0.72 [0.33,1.57] | 0.40 |
| Left without treatment/before treatment complete‡‡ | 29 (8.5) | 6 (3.6) | 23 (13.2) | 0.19 [0.07,0.53] | 0.002* |
| Time day at ED presentationb | |||||
| 0:01–8:00 | 94 (27.5) | 47 (28.0) | 47 (27.0) |
| |
| 8:01–16:00 | 108 (31.6) | 49 (29.2) | 59 (33.9) | 0.92 [0.54,1.59] | 0.77 |
| 16:01–24:00 | 140 (40.9) | 72 (42.9) | 68 (39.1) | 1.10 [0.65,1.84] | 0.73 |
| Time of day at dischargec | |||||
| 0:01–8:00 | 121 (35.4) | 58 (34.5) | 63 (36.2) |
| |
| 8:01–16:00 | 94 (27.5) | 53 (31.5) | 41 (23.6) | 1.43 [0.82,2.50] | 0.21 |
| 16:01–24:00 | 127 (37.1) | 57 (33.9) | 70 (40.2) | 0.94 [0.55,1.59] | 0.82 |
| ED visit during weekend | 102 (29.8) | 49 (29.2) | 53 (30.5) | 0.99 [0.61,1.59] | 0.96 |
| Length of ED stay (median, IQR) | 5.5 (3.3,9.2) | 4.52 (2.7,7.6) | 6.45 (3.9,11.0) | 0.98 [0.95,1.01] | 0.20 |
*** N = 342 for all independent variables unless stated otherwise
** Odds ratio of being offered take home naloxone for each independent variable
* Statistically significant at the level of 0.1 and thus eligible for inclusion in multivariable analysis
a- Overall P-value < 0.001
b- Overall P-value =0.77
c- Overall P-value = 0.26
† Postal code overlaps Local Geographical Area of Edmonton Eastwood, includes T5B, T5G, T5H, T5J, T5K, T6W
†† Postal code was charted as “no fixed address,” indicating that the patient is likely unstably or homeless
¥ Anxiety disorder, Bipolar disorder, Major Depressive Disorder, Psychosis, Personality Disorder (Axis II), or Schizophrenia)
§ Methadone (liquid form, once daily ingestion, max period of 7 days), or Suboxone (once daily dosing, max period of 7 days)
Does not include prescriptions for opioid agonist therapy
¶ Oral includes oral (97%), rectal (1%), transdermal (1%), and Percutaneous endoscopic gastrostomy (1%)
‡ disclosed to the providers that they intended to leave and signed an AMA form
‡‡ registered with triage and was assessed, but then left without warning or disclosing their intent to leave
Multivariable associations of patient characteristics with offering of take home naloxone during ED visits for opioid overdose, with multiple imputation
| Visit Characteristic ( | Adjusted OR [95% CI]** | |
|---|---|---|
| Male sex | 1.75 [0.97,3.16] | 0.064 |
| Age | 1.00 [0.98,1.02] | 0.92 |
| Mental Health disorder | 1.12 [0.59,2.12] | 0.74 |
| Opioid agonist therapy | 0.37 [0.04,3.35] | 0.37 |
| Any current opioid prescription at time of ED visit | 0.41 [0.19,0.88] | 0.021* |
| Primary opioid intoxicant illegal† | ||
| Pharmaceutical opioid- oral |
| |
| Pharmaceutical opioid- smoked | 1.32 [0.24,7.27] | 0.75 |
| Pharmaceutical opioid- injected | 1.40 [0.36,5.51] | 0.63 |
| Illegal opioid- oral | 1.39 [0.33,5.88] | 0.66 |
| Illegal opioid- smoked | 3.78 [1.32,10.9] | 0.014* |
| Illegal opioid- injected | 6.05 [2.15,17.0] | 0.001* |
| Overdosed in public | 0.61 [0.33,1.11] | 0.11 |
| Overdosed intentionally | 0.59 [0.21,1.62] | 0.30 |
| Pre-hospital GCS†† | ||
| Severe (3–8) | 3.70 [1.63,8.37] | 0.002* |
| Moderate (9–13) | 2.09 [0.61,7.21] | 0.24 |
| Mild (14, 15) |
| |
| Left without treatment/ before treatment completion | 0.16 [0.05,0.48] | 0.001* |
| Admitted to hospital | 0.46 [0.22,0.97] | 0.040* |
†Overall p-value = 0.009
††Overall p-value = 0.008
*Statistically significant at the level of 0.05
**Odds ratio of being offered take home naloxone for each independent variable, adjusted for all other variables in the model
Multivariable associations of patient characteristics with offering of take home naloxone during ED visits for opioid overdose, without multiple imputation
| Visit Characteristic ( | Adjusted OR [95% CI]** | |
|---|---|---|
| Male sex | 1.94 [1.10,3.41] | 0.022* |
| Age (n = 341) | 1.00 [0.98,1.02] | 0.93 |
| Mental Health disorder | 1.15 [0.61,2.15] | 0.67 |
| Opioid agonist therapy | 0.30 [0.04,2.44] | 0.26 |
| Any current opioid prescription at time of ED visit | 0.44 [0.21,0.92] | 0.029* |
| Primary opioid intoxicant ( | ||
| Pharmaceutical opioid- oral |
| |
| Pharmaceutical opioid- smoked | 1.14 [0.25,5.26] | 0.87 |
| Pharmaceutical opioid-injected | 1.43 [0.34,6.01] | 0.63 |
| Illegal opioid- oral | 1.26 [0.33,4.83] | 0.74 |
| Illegal opioid- smoked | 3.65 [1.35,9.88] | 0.011* |
| Illegal opioid- injected | 5.47 [2.07,14.5] | 0.001* |
| Missing | 1.61 [0.63,4.08] | 0.32 |
| Overdosed in public ( | 0.64 [0.35,1.15] | 0.13 |
| Overdosed intentionally ( | 0.47 [0.17,1.31] | 0.15 |
| Pre-hospital GCS ( | ||
| Severe (3–8) | 3.57 [1.62,7.83] | 0.002* |
| Moderate (9–13) | 1.39 [0.39,4.98] | 0.62 |
| Mild (14, 15) |
| |
| Missing | 3.64 [1.40,9.42] | 0.008* |
| Left without treatment/ before treatment completion | 0.18 [0.06,0.57] | 0.003* |
| Admitted to hospital | 0.40 [0.19,0.83] | 0.014* |
†Overall P-value 0.003
††Overall p-value 0.006
*Statistically significant at the level of 0.05
**Odds ratio of being offered take home naloxone for each independent variable, adjusted for all other variables in the model