| Literature DB >> 31841556 |
Ashley A Foster1, John J Porter1, Florence T Bourgeois1,2,3, Rebekah Mannix1,2.
Abstract
OBJECTIVE: To describe temporal trends and factors associated with opioid administration among children discharged from the emergency department (ED) after a trauma visit.Entities:
Year: 2019 PMID: 31841556 PMCID: PMC6913969 DOI: 10.1371/journal.pone.0226433
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Percentage of patients given opioids by year.
Fig 2Proportion of all visits versus visits with opioids administered.
Demographic characteristics of ED patients who present with trauma diagnoses.
| All Visits | Given Opioid | No Opioid Given | P-Value | ||||
|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | ||
| <0.001 | |||||||
| 0–5 years | 25,964,000 | 32 | 1,464,000 | 13 | 24,500,000 | 35 | |
| 6–12 years | 26,181,000 | 32 | 3,164,000 | 28 | 23,017,000 | 33 | |
| 13–18 years | 29,081,000 | 36 | 6,684,000 | 59 | 22,397,000 | 32 | |
| 0.09 | |||||||
| Female | 33,741,000 | 42 | 4,463,000 | 39 | 29,278,000 | 42 | |
| Male | 47,486,000 | 58 | 6,849,000 | 61 | 40,637,000 | 58 | |
| <0.001 | |||||||
| Non-Hispanic White | 48,147,000 | 59 | 7,520,000 | 66 | 40,627,000 | 58 | |
| Non-Hispanic Black | 15,701,000 | 19 | 1,691,000 | 15 | 14,011,000 | 20 | |
| Hispanic | 14,566,000 | 18 | 1,646,000 | 15 | 12,930,000 | 19 | |
| Non-Hispanic Other | 2,812,000 | 4 | 464,000 | 4 | 2,348,000 | 3 | |
| 0.49 | |||||||
| Unintentional | 69,546,000 | 86 | 9,819,000 | 87 | 59,727,000 | 85 | |
| Intentional | 675,000 | 0.8 | 98,000 | 0.9 | 577,000 | 0.8 | |
| Intent Unknown | 5,998,000 | 7 | 767,000 | 7 | 5,230,000 | 8 | |
| NA | 5,007,000 | 6 | 627,000 | 6 | 4,380,000 | 6 | |
| <0.001 | |||||||
| None | 14,325,000 | 18 | 655,000 | 6 | 13,670,000 | 20 | |
| Mild | 10,826,000 | 13 | 1,001,000 | 9 | 9,825,000 | 14 | |
| Moderate | 19,368,000 | 24 | 3,067,000 | 27 | 16,301,000 | 23 | |
| Severe | 15,988,000 | 20 | 4,611,000 | 41 | 11,376,000 | 16 | |
| Unknown | 20,719,000 | 25 | 1,978,000 | 17 | 18,742,000 | 27 | |
| <0.001 | |||||||
| Day (7am-7pm) | 50,347,000 | 62 | 6,541,000 | 58 | 43,806,000 | 63 | |
| Night(7pm-7am) | 30,879,000 | 38 | 4,770,000 | 42 | 26108000 | 37 | |
| 24,165,000 | 30 | 3,404,000 | 30 | 20,761,000 | 30 | ||
| <0.001 | |||||||
| Private | 32,913,000 | 40 | 5,045,000 | 45 | 27,869,000 | 40 | |
| Public | 34,085,000 | 42 | 3,950,000 | 35 | 30,135,000 | 43 | |
| Self | 6,306,000 | 8 | 1,157,000 | 10 | 5,148,000 | 7 | |
| Other/Unknown | 7,922,000 | 10 | 1,159,000 | 10 | 6,763,000 | 10 | |
| <0.001 | |||||||
| Northeast | 14,106,000 | 17 | 1,078,000 | 10 | 13,028,000 | 19 | |
| Midwest | 18,207,000 | 23 | 2,427,000 | 22 | 15,780,000 | 22 | |
| South | 32,249,000 | 40 | 5,333,000 | 47 | 27,017,000 | 39 | |
| West | 16,564,000 | 20 | 2,475,000 | 22 | 14,090,000 | 20 | |
| 8,520,000 | 11 | 846,000 | 8 | 7,673,000 | 11 | 0.003 | |
| 6,936,000 | 9 | 781,000 | 7 | 6,155,000 | 9 | 0.02 | |
| 6,041,000 | 7 | 846,000 | 8 | 5,195,000 | 7 | 0.94 | |
| 6,036,000 | 7 | 708,000 | 6 | 5,329,000 | 8 | 0.08 | |
| 11,497,000 | 14 | 1,580,000 | 14 | 9,917,000 | 14 | 0.85 | |
| 2,832,000 | 4 | 631,000 | 6 | 2,201,000 | 3 | <0.001 |
*n, survey weighted estimate
Multivariate analysis.
| Age | Odds Ratio |
|---|---|
| 0–5 years | Referent |
| 6–12 years | 1.44 (1.17, 1.78) |
| 13–18 years | 2.75 (2.21, 3.42) |
| Female | Referent |
| Male | 1.19 (1.03, 1.37) |
| Non-Hispanic White | Referent |
| Non-Hispanic Black | 0.69 (0.57, 0.84) |
| Hispanic | 0.84 (0.69, 1.04) |
| Non-Hispanic Other | 1.33 (0.90, 1.97) |
| None | Referent |
| Mild | 1.79 (1.26, 2.55) |
| Moderate | 3.15 (2.32, 4.29) |
| Severe | 6.48 (4.72, 8.92) |
| 2.19 (1.59, 3.00) | |
| Day (7am-7pm) | Referent |
| Night (7pm-7am) | 1.26 (1.09, 1.46) |
| Private | Referent |
| Public | 0.77 (0.66, 0.89) |
| Self | 1.15 (0.91, 1.45) |
| Other | 1.16 (0.86, 1.57) |
| Northeast | Referent |
| Midwest | 2.14 (1.67, 2.76) |
| South | 2.97 (2.35, 3.76) |
| West | 2.23 (1.71, 2.90) |
| 0.73 (0.52, 1.03) | |
| 1.09 (0.82, 1.46) | |
| 0.77 (0.56, 1.06) |
(A) Diagnoses with greatest number of opioids administered. (B) Diagnoses with highest proportion of opioid administration.
| ICD9 Code | Total Visits with ICD9 Code | Visits with an Opioid | % |
|---|---|---|---|
| (A) | |||
| Ankle Sprain | 3,826,000 | 530,000 | 14 |
| Fracture of Clavicle | 754,000 | 364,000 | 48 |
| Fracture of Distal Radius | 778,000 | 340,000 | 44 |
| Face Contusion | 4,191,000 | 283,000 | 7 |
| Fracture of Carpal Bone | 645,000 | 276,000 | 43 |
| (B) | |||
| Fracture of Low Radius | 279,000 | 199,000 | 71 |
| Fracture of Unspecified Radius | 242,000 | 152,000 | 63 |
| Fracture of Clavicle | 754,000 | 364,000 | 48 |
| Fracture of Ankle | 543,000 | 256,000 | 47 |
| Fracture of Distal Radius | 778,000 | 340,000 | 44 |