| Literature DB >> 34367674 |
Rosemary Nabaweesi1,2, Chary Akmyradov3, Mary E Aitken1,2, Phillip J Kenney4, Raghu H Ramakrishnaiah5.
Abstract
PURPOSE: Research demonstrates that children receive twice as much medical radiation from Computed Tomography (CT) scans performed at non-pediatric facilities as equivalent CTs performed at pediatric trauma centers (PTCs). In 2014, AFMC outreach staff educated Emergency Department (ED) staff on appropriate CT imaging utilization to reduce unnecessary medical radiation exposure. We set out to determine the educational campaign's impact on injured children received radiation dose.Entities:
Keywords: Pediatric computed tomography scan protocols; educational campaign; evaluation; radiation dose; radiation safety
Year: 2021 PMID: 34367674 PMCID: PMC8327550 DOI: 10.1017/cts.2021.793
Source DB: PubMed Journal: J Clin Transl Sci ISSN: 2059-8661
Summary of CT scan guidelines clinicians received during educational campaign
| 1. Develop pediatric-specific protocols for imaging with a focus on minimal dose necessary to obtain a quality image. |
| 2. Image with radiation only when medically necessary. When ordered appropriately, the risk to benefit medical imaging is excellent. Use alternative modalities (ultrasound or MRI) when appropriate. |
| 3. Scan only the affected region. Develop protocols for follow-up examinations (e.g., follow-up of an incidental lung nodule does not require a full chest CT). |
| 4. Scan once only. Multiphase scans are rarely indicated in children. |
| 5. Involve clinical staff in quality improvement initiatives relative to ordering of medical imaging studies. |
| 6. Arkansas Children’s Hospital has developed pediatric-specific imaging protocols. Contact information for pediatric CT Technologist/Radiology Technologist was made available |
| 7. Reduce radiation exposure during CT (children) |
Fig. 1.Data flow diagram.
Hospital characteristics (N = 93 hospitals)
| Pre-campaign | Post-campaign | |
|---|---|---|
| Total | 45 | 48 |
| Region of state | ||
| Arkansas Valley | 7 (15.56%) | 9 (18.75%) |
| Metropolitan | 6 (13.33%) | 7 (14.58%) |
| North Central | 8 (17.78%) | 5 (10.42%) |
| North East | 5 (11.11%) | 5 (10.42%) |
| North West | 6 (13.33%) | 5 (10.42%) |
| South East | 5 (11.11%) | 8 (16.67%) |
| South West | 8 (17.78%) | 9 (18.75%) |
| Hospital type | ||
| Critical | 12 (26.67%) | 16 (33.33%) |
| Rural | 13 (28.89%) | 12 (25.00%) |
| Urban | 20 (44.44%) | 20 (41.67%) |
| Hospital size | ||
| Large | 21 (46.67%) | 20 (41.67%) |
| Medium | 10 (22.22%) | 9 (18.75%) |
| Small | 14 (31.11%) | 19 (39.58%) |
| Radiology services | ||
| Both | 4 (8.89%) | 3 (6.25%) |
| In-house | 18 (40.00%) | 17 (35.42%) |
| Outsourced | 8 (17.78%) | 12 (25.00%) |
| Unknown | 15 (33.33%) | 16 (33.33%) |
| Trauma center | ||
| Level II | 3 (6.67%) | 4 (8.33%) |
| Level III | 16 (35.56%) | 14 (29.17%) |
| Level IV | 20 (44.44%) | 25 (52.08%) |
| Not Applicable | 6 (13.33%) | 5 (10.42%) |
Hospital Bed Size Based on Healthcare Cost Utilization Project (HCUP) is embedded in location and teaching status.
Patient characteristics (N = 385)
| Pre-campaign | Post-campaign | |
|---|---|---|
| Total | 251 | 134 |
| Race | ||
| White | 202 (80.48%) | 112 (83.58%) |
| Black | 27 (10.76%) | 21 (15.67%) |
| Hispanic | 11 (4.38%) | - |
| Other | 11 (4.38%) | 1 (0.75%) |
| Gender | ||
| Female | 93 (37.05%) | 52 (38.81%) |
| Male | 158 (62.95%) | 82 (61.19%) |
| Age (years), Median (IQR | 6.65 (2.2, 12.7) | 8.50 (4.0, 13.0) |
| Transportation | ||
| Air | 100 (39.84%) | 28 (20.90%) |
| Ground | 151 (60.16%) | 106 (79.10%) |
| ED | 3.61 (2.3, 4.8) | 4.11 (2.9, 5.6) |
| ED disposition | ||
| ICU | 76 (30.28%) | 31 (23.13%) |
| Other | 175 (69.72%) | 103 (76.87%) |
| Injury Severity Score, Median (IQR) | 9.00 (5.0, 14.0) | 9.00 (5.0, 14.0) |
Interquartile range.
Emergency Department.
Length of Stay.
Intensive Care Unit.
Operating Room.
Floor and Home.
Children’s effective radiation dose when scanned at transferring hospitals
| Pre-campaign | Post-campaign |
| |||
|---|---|---|---|---|---|
| N | Median (Q1, Q3) | N | Median (Q1, Q3) | ||
| Total | 394 | 3.80 (2.47, 5.84) | 220 | 2.80 (1.62, 4.37) | <.0001 |
| Race | |||||
| White | 318 | 3.83 (2.55, 5.96) | 189 | 2.95 (1.63, 4.60) | 0.0001 |
| Black | 44 | 4.01 (2.02, 5.20) | 27 | 2.73 (1.41, 3.67) | 0.0044 |
| Hispanic | 19 | 3.86 (1.56, 7.39) | - | ||
| Other | 13 | 2.89 (2.04, 4.98) | 4 | 3.31 (1.51, 4.70) | NS |
| Age (years) | |||||
| <1 | 23 | 3.91 (2.73, 6.89) | - | ||
| 1–4 | 79 | 3.33 (2.07, 5.00) | 15 | 2.27 (0.78, 4.32) | 0.0147 |
| 5–9 | 108 | 3.28 (1.76, 5.17) | 63 | 2.38 (1.45, 3.83) | 0.0113 |
| 10–14 | 143 | 4.14 (3.10, 7.20) | 98 | 3.07 (1.62, 4.43) | <.0001 |
| >15 | 41 | 3.13 (2.49, 6.98) | 44 | 3.44 (2.19, 9.26) | NS |
| Gender | |||||
| Female | 144 | 3.39 (2.24, 5.14) | 99 | 3.10 (1.79, 5.79) | NS |
| Male | 250 | 4.02 (2.60, 6.01) | 121 | 2.74 (1.60, 4.25) | <.0001 |
| Transportation | |||||
| Air | 163 | 3.79 (2.31, 6.89) | 48 | 3.37 (1.96, 5.52) | NS |
| Ground | 231 | 3.85 (2.63, 5.47) | 172 | 2.76 (1.61, 4.21) | <.0001 |
| ED | |||||
| ICU | 118 | 3.44 (2.49, 6.43) | 55 | 3.06 (1.61, 6.62) | NS |
| Other | 276 | 3.90 (2.39, 5.67) | 165 | 2.76 (1.62, 4.25) | <.0001 |
| CT | |||||
| Abdomen | 83 | 7.20 (4.47, 11.54) | 28 | 4.13 (2.83, 7.81) | 0.0263 |
| Chest | 21 | 7.39 (4.77, 10.00) | 37 | 6.62 (3.95, 10.41) | NS |
| Head | 203 | 3.27 (2.47, 4.59) | 105 | 2.45 (1.61, 3.41) | <.0001 |
| Neck | 87 | 3.25 (1.52, 4.64) | 50 | 2.19 (0.87, 4.09) | 0.0329 |
| Injury Severity Score | |||||
| Mild | 139 | 3.91 (2.21, 6.56) | 89 | 2.76 (1.84, 4.29) | 0.0011 |
| Moderate | 185 | 3.78 (2.44, 5.30) | 88 | 2.71 (1.62, 4.17) | 0.0009 |
| Severe | 61 | 3.38 (2.55, 6.52) | 35 | 2.95 (1.43, 8.24) | NS |
| Life threatening | 9 | 4.63 (3.23, 7.49) | 7 | 4.31 (2.78, 21.71) | NS |
| Trauma Center | |||||
| Level 2 | 67 | 3.49 (2.48, 5.09) | 33 | 2.76 (2.16, 4.60) | NS |
| Level 3 | 219 | 3.86 (2.30, 5.84) | 109 | 2.95 (1.73, 4.25) | 0.0023 |
| Level 4 | 94 | 3.96 (2.48, 6.68) | 66 | 2.93 (1.51, 4.38) | 0.0048 |
| Not Applicable | 14 | 3.84 (2.91, 9.77) | 12 | 2.28 (1.61, 4.75) | NS |
Emergency Department.
Intensive Care Unit.
Operating Room.
Floor and Home.
Computed Tomography.
Frequencies and odds ratios of repeated CT scans at pediatric trauma center
| Pre-campaign | Post-campaign | Odds ratio (95% CI) |
| |||
|---|---|---|---|---|---|---|
| Non-repeated | Repeated | Non-repeated | Repeated | |||
| Transportation | ||||||
| Air | 104 | 59 (36%) | 105 | 17 (14%) | 0.29 (0.16, 0.52) | <.0001 |
| Ground | 191 | 40 (17%) | 243 | 33 (12%) | 0.65 (0.39, 1.07) | NS |
| ED | ||||||
| ICU | 62 | 56 (47%) | 95 | 24 (20%) | 0.28 (0.16, 0.50) | <.0001 |
| Other | 233 | 43 (16%) | 253 | 26 (9%) | 0.56 (0.33, 0.94) | 0.0269 |
| ISS | ||||||
| Mild | 124 | 15 (11%) | 147 | 11 (7%) | 0.62 (0.27, 1.40) | NS |
| Moderate | 128 | 57 (31%) | 131 | 20 (13%) | 0.34 (0.19, 0.60) | 0.0002 |
| Severe | 41 | 20 (33%) | 54 | 14 (21%) | 0.53 (0.24, 1.18) | NS |
| Life Threatening | 2 | 7 (78%) | 15 | 5 (25%) | 0.10 (0.01, 0.62) | 0.0137 |
| Trauma Center | ||||||
| Level 2 | 50 | 17 (25%) | 55 | 3 (5%) | 0.16 (0.04, 0.58) | 0.0053 |
| Level 3 | 163 | 56 (26%) | 149 | 24 (14%) | 0.47 (0.28, 0.79) | 0.0049 |
| Level 4 | 73 | 21 (22%) | 117 | 20 (15%) | 0.59 (0.30, 1.17) | NS |
| Not Applicable | 9 | 5 (36%) | 27 | 3 (10%) | 0.20 (0.04, 1.01) | NS |
Emergency Department.
Intensive Care Unit.
Operating Room.
Floor and Home.
Injury Severity Score.