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. Author manuscript; available in PMC: 2019 Apr 1.
Published in final edited form as: J Pediatr Surg. 2017 Aug 7;53(4):765–770. doi: 10.1016/j.jpedsurg.2017.08.003

U.S. Pediatric Trauma Patient Unplanned 30 Day Readmissions

Krista K Wheeler a,b, Junxin Shi a,b, Henry Xiang a,b,c, Rajan K Thakkar a,c,d, Jonathan I Groner a,c,d
PMCID: PMC5803463  NIHMSID: NIHMS902044  PMID: 28844536

Abstract

Purpose

We sought to determine readmission rates and risk factors for acutely injured pediatric trauma patients.

Methods

We produced 30-day unplanned readmission rates for pediatric trauma patients using the 2013 National Readmission Database (NRD).

Results

In U.S. pediatric trauma patients, 1.7% had unplanned readmissions within 30 days. The readmission rate for patients with index operating room procedures was no higher at 1.8%. Higher readmission rates were seen in patients with injury severity scores (ISS) = 16–24 (3.4%) and ISS ≥ 25 (4.9%). Higher rates were also seen in patients with LOS beyond a week, severe abdominal and pelvic region injuries (3.0%), crushing (2.8%) and firearm injuries (4.5%), and in patients with fluid and electrolyte disorders (3.9%). The most common readmission principal diagnoses were injury, musculoskeletal/integumentary diagnoses and infection. Nearly 39% of readmitted patients required readmission operative procedures. Most common were operations on the musculoskeletal system (23.9% of all readmitted patients), the integumentary system (8.6%), the nervous system (6.6%), and digestive system (2.5%).

Conclusions

Overall, the readmission rate for pediatric trauma patients was low. Measures of injury severity, specifically length of stay, were most useful in identifying those who would benefit from targeted care coordination resources.

Keywords: pediatric, trauma, injury, readmissions

1. Introduction

Readmissions are increasingly being scrutinized by public insurers, accountable care 1 organizations, and the American College of Surgeons [17]. Trauma readmissions have been promoted as a quality indicator [2, 5, 8], and they have been used as a metric to compare patient care approaches and hospital outcomes [912]. Published work has largely focused on adult trauma patient readmissions [5, 8, 1024]. A number of those studies are limited to single institutions that do not track readmissions at different hospitals [13, 14, 16, 19, 21]. The readmission studies that have included pediatric trauma patients have described readmissions to the same institutions [2528], and these may underestimate pediatric trauma readmissions [5, 29]. Among adult trauma patients in California, only 55% of the readmissions were in the same hospital as the index admission [12]. While the proportion is likely lower for pediatric patients, currently this is not known. Choi, et al. reported a very low pediatric trauma unplanned readmission rate of 0.38% over a 5-year study period in their institution [27]. Brown, et al. in a recent paper compared readmissions of pediatric trauma patients to those admitted to other surgical services; the rate of readmissions to trauma services was among the lowest at 2.3% [28]. However, this comparison did not account for trauma patients that may be admitted to other services, i.e. neurosurgical or orthopedic services.

Older age [20, 30], comorbidities [20, 30, 31], pre-injury medications [19], injury severity [20], body region injured [18, 20], length of stay [20], discharge disposition [18, 20, 30], and social deprivation [15] have all been associated with readmissions in adult trauma patients. Moore et al. reported a 30 day unplanned readmission rate of 5.9% for acutely injured trauma patients (16 years or older), and they estimated that 30% of the 30 day readmissions were due to potential complications of injury [20]. Reduced 30 day and 1 year readmissions for adult trauma patients were found to be associated with primary triage to trauma centers by Staudenmeyer and her colleagues, demonstrating a benefit of trauma center care beyond reduced mortality [12].

This study is the first to provide national estimates of pediatric trauma unplanned all-cause 30 day readmission rates by patient, injury, and hospital characteristics. Details about the readmission visits, including whether patients returned to the same hospital, readmission diagnoses and operative procedures are reported. We sought to identify higher readmission risk populations. We are using the National Readmission Database (NRD), a new Healthcare Cost and Utilization Project dataset which tracks readmissions across hospitals within participating states. A number of previous U.S. trauma readmission studies have used the state specific datasets that contribute to the NRD [1012, 17, 18]. The NRD is useful for studying relatively rare events like readmission after pediatric trauma.

2. Methods

2.1 Data source and patient selection

The 2013 National Readmission Database has discharge records from 21 states. The NRD is a convenience sample of nearly 100% of the discharges in the participating states from those hospitals that are not rehabilitation or long-term acute care facilities. The 2013 dataset contains approximately 14 million hospital discharges; when weighted, it estimates 36 million discharges. The weighting is meant to compensate for under or over-representation of hospitals and patient populations in the target universe derived from American Hospital Association data. Post-stratification weighting accounted for the following hospital and patient characteristics: census region, hospital urban/rural location, hospital teaching status, number of beds, hospital control (public, private not-for-profit, and private for-profit), and patient age and sex [32]. NRD documentation provides details about excluded records and missing data imputation [32].

Our index event was pediatric trauma admission based on the principal diagnosis in children 1–17 years old. We did not include children under the age of 1, because the unique patient identifiers are not consistently reported across all states and their readmissions cannot be as readily tracked [32]. We defined hospitalized pediatric trauma patients using the National Trauma Data Standard Definition for trauma patients, International Classification of Diseases, Ninth Revision (ICD-9) injury diagnoses 800–959.9, excluding patients with codes only for late effects of injury, foreign bodies, or superficial injury [33]. We also excluded burn patients, as they are a distinct category of trauma patients with different transfer and readmission patterns [34, 35]. To capture acute injury events, patients with planned (elective) index admissions were excluded. Elective and non-elective readmissions were derived from the type of admission (emergency/urgent versus elective), and this variable is provided in the NRD for all admissions. Index events in which patients died were excluded. Patients admitted in December were also excluded, so that 30 days of follow-up were available for all patients. We also excluded patients with cancer and psychoses (1.2% of the sample). These conditions substantially increased the risk of readmission, and these types of exclusions are a recommended practice when evaluating readmissions in large sample populations [32]. Rather than exclude patients with other commonly occurring chronic conditions and comorbidities, we describe readmissions in these patients using the Chronic Condition Indicator (CCI) and the comorbidity measures provided in the NRD.

2.2 Transfers

Patients were tracked across hospitals within a state using patient linkage numbers and combined records for transferred patients. Combined transfer records were provided in the NRD and included the following: diagnoses from the latter discharge and combined lengths of stay (LOS) from the two discharges. We chose to combine the LOS for a small group of transferred patients (n=14) not considered same day events (LOS ≤1 day for their first admission and the second admission was within one day). The latter admission date was used as the date of the index event.

2.3 Readmission rates

We report 30 day all-cause unplanned readmission rates by patient, injury, and hospital characteristics. We have included readmission rates for the top five comorbid conditions, as well as readmission rates based on the number of chronic conditions listed among the secondary diagnoses. Descriptions of the readmission visit are provided, including the proportion returning to different hospitals, those requiring readmission for major operative procedures, and descriptions of the operative procedures. The readmission principal diagnoses were categorized using a list (Appendix A) developed and used by other researchers describing trauma readmissions [20, 36]. We have added updates to this trauma-related diagnosis list based on the readmission principal diagnoses seen in this sample of pediatric trauma patients.

2.4 Severity measures

Injury Severity Scores (ISS) and Abbreviated Injury Scores (AIS) were generated using a validated and publicly available Stata program, ICD Programs for Injury Categorization (ICDPIC) [37]. Hospital trauma level is not in the NRD, so we generated a trauma patient hospital volume variable using quartiles of the annual volume of trauma patients (all ages) with ISS >15. The All Patient Refined Diagnosis Related Groupings (APR-DRGs), developed by 3M Health Information Systems, were provided in the NRD, and we utilized its severity of illness measure because it takes into account age, comorbidities, and complications.

2.5 Statistical methods

Using SAS Enterprise Guide 7.1 (SAS Institute Inc., Cary, NC, USA), we produced 30 day all-cause unplanned readmission rates with 95% confidence intervals across patient, injury, and hospital factors. Multivariable logistic regression was used to evaluate risk factors for readmission.

3. Results

From January – November 2013, there were 21,594 index admissions and 381 readmissions in the sample (Table 1). When weighted, these represent an estimated 67,168 U.S. pediatric trauma patients and 1,166 readmissions, producing a national unplanned readmission rate of 1.7% (95% CI: 1.5–1.9). Readmission rates were similar across patient demographic categories. Across age categories, the highest rate was in 15–17 year olds, 2.1% (95% CI: 1.7 – 2.5). Readmissions were seen in patients with all types of principal injury diagnoses. Wide confidence intervals were seen in some categories because of small sample sizes. Only those with crushing injuries had a rate that was statistically higher (2.8% (95% CI: 2.1 – 3.4)) than the overall rate. Among pediatric patients with AIS scores ≥3, the highest readmission rate was seen in those with injuries to the abdominal and pelvic contents, 3.0% (95% CI: 2.2 – 3.8). Readmission rates increased with increasing injury severity scores. Patients with an ISS ≥25 had a readmission rate of 4.9% (95% CI: 2.8 – 6.9). Patients with extreme loss of function, as measured by the APR-DRG, also had a higher readmission rate of 5.9%.

Table 1.

Pediatric trauma patient 30 day readmission rates by patient and injury characteristics

Total Sample National estimates


Index Readm % 95% CI


21,594 381 1.7 (1.5 – 1.9)
Age (age in years at the index admission)
1–4 3,743 64 1.8 (1.3 – 2.3)
5–9 5,102 71 1.4 (0.9 – 1.8)
10–14 6,165 102 1.6 (1.2 – 1.9)
15–17 6,584 144 2.1 (1.7 – 2.5)

Sex
Male 14,700 261 1.8 (1.5 – 2.1)
Female 6,894 120 1.6 (1.2 – 2.0)

Median household income (by zip code)
$1–$37,999 6,478 130 2.1 (1.6 – 2.5)
$38,000–$47,999 5,610 94 1.7 (1.3 – 2.2)
$48,000–$63,999 5,070 76 1.4 (1.0 – 1.9)
$64,000 or more 4,141 72 1.6 (1.1 – 2.1)

Primary expected payer
Public 10,480 200 1.9 (1.6 – 2.2)
Private insurance 10,067 161 1.6 (1.4 – 1.9)
Self-pay/no charge 1,011 20 1.5 (0.5 – 2.5)

Patient location (urban/rural)
Metro areas of ≥1 million population 11,148 197 1.7 (1.4 – 2.0)
Counties in metro areas of 250,000–999,999 4,611 90 2.0 (1.5 – 2.4)
Counties in metro areas of 50,000–249,999 2,304 33 1.3 (0.8 – 1.8)
Not metropolitan or micropolitan counties 3,485 59 1.8 (1.2 – 2.3)

Principal diagnosis a
Fracture of neck of femur (hip) 441 12 4.0 (1.4 – 6.7)
Crushing injury 2,191 75 2.8 (2.1 – 3.4)
Other injuries and conditions due to external causes b 514 14 2.7 (1.0 – 4.3)
Other fractures 980 25 2.7 (1.6 – 3.8)
Open wounds of extremities 1,023 21 1.9 (1.0 – 2.8)
Fracture of lower limb 4,542 81 1.9 (1.4 – 2.4)
Intracranial injury 3,854 65 1.7 (1.3 – 2.2)
Skull and face fractures 1,453 21 1.2 (0.7 – 1.7)
Fracture of upper limb 4,997 48 0.9 (0.6 – 1.3)
Open wounds of head, neck, and trunk 1,107 ≤10
Joint disorders and dislocations/Sprains and strains 343 ≤10
Spinal cord injury 149 ≤10

Severe injury (AIS≥3) by body region
Head/neck/face 6,559 105 1.6 (1.2 – 1.9)
Chest 1,499 33 2.4 (1.5 – 3.4)
Abdominal and pelvic contents 1,869 68 3.0 (2.2 – 3.8)
Extremities or pelvic girdle 10,890 164 1.5 (1.3 – 1.8)
External 777 11 1.7 (0.5 – 2.8)

Injury Severity Score (ISS)
1–15 19,168 294 1.5 (1.3 – 1.7)
16–24 1,793 59 3.4 (2.5 – 4.2)
25–75 558 28 4.9 (2.8 – 6.9)

All Patient Refined DRG: Severity of illness subclass
Minor loss of function 10,830 134 1.2 (1.0 – 1.5)
Moderate loss of function 7,703 124 1.6 (1.2 – 1.9)
Major loss of function 2,292 79 3.2 (2.4 – 4.0)
Extreme loss of function 767 44 5.9 (3.9 – 7.9)

Top five comorbidities c
Chronic pulmonary disease 1,860 38 1.6 (1.0 – 2.3)
Fluid and electrolyte disorders 823 35 3.9 (2.6 – 5.2)
Substance abuse 523 16 2.5 (1.3 – 3.7)
Deficiency anemia 439 12 2.3 (0.9 – 3.7)
Other neurological disorders 379 14 3.1 (1.4 – 4.9)

# Chronic conditions d
0 14,749 202 1.4 (1.2 – 1.6)
1 4,152 92 2.2 (1.7 – 2.7)
≥2 2,693 87 2.8 (2.1 – 3.5)

Mechanism a
Firearm 570 25 4.5 (2.8 – 6.2)
Pedestrian, other; Transport, other 1,632 36 2.4 (1.4 – 3.4)
Motor vehicle accident 4,264 89 2.0 (1.5 – 2.4)
Struck by, against 2,424 44 1.9 (1.2 – 2.5)
Other/unspecified 1,129 22 1.5 (0.8 – 2.3)
Fall 8,025 116 1.4 (1.1 – 1.7)
Cut/pierce 723 12 1.3 (0.4 – 2.1)
Pedal cyclist, other 955 ≤10
Natural/environmental 515 ≤10
Machinery 98 ≤10
Drowning/submersion/suffocation 14 ≤10

Major operating room procedure
No 10,338 174 1.7 (1.4 – 1.9)
Yes 11,256 207 1.8 (1.5 – 2.1)

Length of stay (days)
0–3 17,028 217 1.3 (1.1 – 1.5)
4–7 2,909 72 2.2 (1.6 – 2.8)
8–14 949 44 3.9 (2.7 – 5.0)
≥15 708 48 6.9 (4.5 – 9.2)

Disposition of patient
Routine 20,297 328 1.6 (1.4 – 1.8)
Transfer 532 26 4.7 (2.5 – 6.9)
Home health care, skilled nursing, intermediate, and other facilities 724 27 3.4 (2.0 – 4.8)
Against medical advice/destination unknown 41 -

Readm = Readmissions; DRG = Diagnosis related grouping; AIS = Abbreviated Injury Score

a

Injury and mechanism were based on categories generated by the Clinical Classifications Software.

b

The “Other injuries and conditions due to external causes” category includes nerve injuries (950–951,953–957) other than the spinal cord, non-specific injuries (959) and traumatic complications (958). Readmissions were seen in each of these subcategories.

c

The NRD has 29 comorbidity measures.

d

The Chronic Condition Indicator (CCI) in NRD provides labels for all diagnoses (chronic or not). This count does not include principal diagnoses, such as spinal cord injury, that are chronic conditions.

Across the top five most common comorbidities, only those with fluid and electrolyte disorders had higher readmission rates, 3.9% (95% CI: 2.6–5.2). Chronic conditions were seen in 31.7% of the children in the sample, and those with two or more chronic conditions had a higher readmission rate of 2.8% (95% CI: 2.1 – 3.5). Across the mechanisms of injury categories, there were small numbers of readmissions in some categories, limiting the estimate reliability. Pediatric patients with firearm injuries had a higher readmission rate of 4.5% (95% CI: 2.8 – 6.2). The readmission rates were similar for patients with and without a major operating room procedure in the index visit. Patients with an index LOS greater than a week also had higher readmission rates, and for patients with LOS≥15 days, the readmission rate was 6.9% (4.5 – 9.2). Patients transferred to short-term hospitals, home health, and other facilities (i.e. skilled nursing facilities and intermediate care facilities) also had higher rates of readmission.

Table 2 shows readmission rates across the following hospital characteristics: trauma patient volume, children’s hospitals versus non-children’s hospitals, teaching status, control/ownership, bed size, and urban/rural location. There were only small differences in the readmission rates across hospital characteristics; rates ranged from 1.3 – 2.4%. In a multivariable logistic model controlling for trauma patient volume, patient age, sex, ISS, primary payer, patient urban/rural location, median household income by zip code, the presence of a chronic condition or an OR procedure, only LOS was associated with readmission (data not shown).

Table 2.

Pediatric trauma patient 30 day readmission rates by hospital characteristics

Sample National estimates


Index Readm % 95% CI
Annual number of trauma patients with ISS>15 a
Q1: 1–59 5,334 91 1.7 (1.3 – 2.1)
Q2: 60–190 5,622 80 1.4 (1.1 – 1.8)
Q3: 191–457 5,647 107 1.7 (1.4 – 2.1)
Q4: 458–1419 4,991 103 2.1 (1.7 – 2.5)

Children’s hospital
No 18,460 323 1.7 (1.5 – 1.9)
Yes 3,134 58 1.9 (1.3 – 2.5)

Teaching status
Metropolitan non-teaching 3,593 61 1.6 (1.1 – 2.0)
Metropolitan teaching 17,175 309 1.8 (1.6 – 2.0)
Non-metropolitan 826 11 1.3 (0.4 – 2.2)

Control/ownership of hospital
Government, nonfederal [public] 4,784 91 1.9 (1.5 – 2.3)
Private, not-for-profit [voluntary] 15,546 264 1.7 (1.4 – 1.9)
Private, investor-owned [proprietary] 1,264 26 2.0 (1.2 – 2.8)

Bed size of hospital b
Small 1,135 26 2.4 (1.3 – 3.5)
Medium 4,245 77 1.8 (1.4 – 2.2)
Large 16,214 278 1.7 (1.4 – 1.9)

Hospital urban-rural designation
Large metropolitan areas with at least 1 million residents 12,409 231 1.8 (1.6 – 2.1)
Small metropolitan areas with less than 1 million residents 8,359 139 1.7 (1.4 – 1.9)
Not metropolitan or micropolitan 826 11 1.3 (0.4 – 2.2)

Readm = Readmissions; Q= Quartile based on annual patient volume

a

Trauma patient volume (ISS>15) included children and adults.

b

Bed size categories were dependent upon each hospital’s region in the US, urban-rural designation, and teaching status.

In Table 3, the sample readmission visits are described. Over 9% of patients were readmitted within one day, while another 38% were readmitted within one week. The majority returned to the same hospital, 86.2% (95% CI: 82.4 – 90.0). Readmission LOS beyond 3 days was seen in 41.7% of patients. For over a quarter of the readmitted patients, 26.5% (95% CI: 21.4 – 31.7), injury was the readmission principal diagnosis. The most commonly seen trauma-related principal diagnoses were in the musculoskeletal/integumentary category, 15.1% (95% CI: 10.6 – 19.7). Infection was the second most commonly listed principal diagnosis, 14.9% (95% CI: 10.8 – 19.0). Vascular, gastrointestinal, and pulmonary diagnoses were the next most commonly seen categories. Detailed diagnoses included in each of the trauma-related categories are reported in Appendix A. In the sample of readmitted patients, 16% had neither an injury nor trauma-related diagnosis as their principal diagnosis. When all 24 secondary diagnoses were evaluated, only 3.8% had none of the trauma-related readmission diagnoses (data not shown), though for this group the principal readmission diagnoses were not clearly trauma-related.

Table 3.

Characteristics of the readmission stay for pediatric trauma patients

Total Sample National estimates
n N % 95% CI


381 1,166 100.0
Readmitted within (days)
≤1 35 113 9.7 (6.5 – 13.0)
2–7 146 440 37.7 (32.5 – 42.9)
8–14 95 305 26.1 (21.7 – 30.6)
15+ 105 308 26.4 (21.8 – 31.1)

Same/different hospital
Different hospital readmission 54 161 13.8 (10.0 – 17.6)
Same hospital readmission 327 1,005 86.2 (82.4 – 90.0)

Readmission LOS (days)
0–3 222 680 58.3 (53.2 – 63.5)
4–7 96 292 25.1 (20.8 – 29.3)
8–14 37 105 9.0 (5.8 – 12.1)
≥15 26 89 7.6 (4.3 – 10.9)

Principal readmission trauma-related diagnosis categories a
Injury diagnosis 109 310 26.5 (21.4 – 31.7)
Musculoskeletal integumentary 55 177 15.1 (10.6 – 19.7)
Infection 54 173 14.9 (10.8 – 19.0)
Vascular 31 105 9.0 (4.7 – 13.3)
Gastrointestinal 39 103 8.8 (5.9 – 11.7)
Pulmonary 17 83 7.1 (3.2 – 11.0)
Pain/fluid/other complication 27 69 5.9 (3.7 – 8.1)
Neurologic 19 66 5.6 (2.8 – 8.5)
Renal/genitourinary ≤10
Hepatic, pancreatic, biliary, splenic ≤10
Psychiatric ≤10
Cardiovascular/hematologic ≤10
Late effect of injury b ≤10
Aftercare c 14 32 2.7 (0.7 – 4.7)
Principal diagnoses is not an injury or trauma related diagnosis 60 186 16.0 (11.9 – 20.1)

Readmission OR procedure
No 237 714 61.3 (55.9 – 66.6)
Yes 144 451 38.7 (33.4 – 44.1)

Operative procedures d
Musculoskeletal system 91 278 23.9 (18.8 – 29.0)
Integumentary system 29 100 8.6 (4.9 – 12.2)
Nervous system 22 77 6.6 (3.2 – 10.0)
Digestive system 11 30 2.5 (1.0 – 4.0)
Respiratory system ≤10
Cardiovascular system ≤10
Respiratory system ≤10
Urinary system ≤10

Readm= Readmissions

a

The trauma-related diagnoses grouped in each category are shown in Appendix A.

b

Late effects of injuries, poisonings, toxic effects and other external causes (905–909) excluding 909(.3, .5).

c

Aftercare codes included supplementary V codes, V54, V57, and V58.

d

Categorization was based on the CCS (Clinical Classification Software).

Of the readmitted patients, 38.7% (95% CI: 33.4 – 44.1) required an operating room procedure during the readmission. More specifically, operations on the musculoskeletal system (23.9% of all readmitted patients), the integumentary system (8.6%), the nervous system (6.6%), and digestive system (2.5%) were the top four categories of operations. Other operative categories had small sample sizes. Within the musculoskeletal system category, the majority were operative treatments of fracture or dislocation. The next most frequently seen operative procedures were therapeutic procedures on muscles and tendons, spinal fusion, and partial excision of bone. Skin grafts and debridement of wound, infection, or burn were the top integumentary system procedures.

4. Discussion

The national pediatric trauma readmission rate is higher than a previously reported single institution rate [27]. It is lower, however, than that seen in an adult trauma population (4.6% in 16–54 year olds) [20]. It is also lower than the 30 day readmission rate reported for all pediatric surgical patients (4.4%) [28]. The NRD includes all hospitals within participating states and overcomes the limitation of many studies which describe only readmissions to the index hospital. This study shows that the majority of pediatric trauma patients returned to the same hospital, suggesting that single institution rates are meaningful quality improvement metrics.

While the readmission rates were similar for patients with and without a major operating room procedure in the index visit, over one-third required an operating room procedure during readmission. The majority of these were operative treatments of a fracture or dislocation. While our analysis was limited to unplanned readmissions, we cannot be certain that these were unplanned procedures.

Only index length of stay was significantly associated with readmission in a multivariable model controlling for patient demographics, injury severity, and hospital trauma patient volume. Patients with crushing or firearm injuries and those with comorbid fluid and electrolyte disorders were three higher risk populations. Patients with two or more chronic conditions were also at slightly higher risk of readmission. Previously, Berry et al. described a high 30 day readmission rate (17.1%) among pediatric patients with chronic conditions as a result of injuries [4]. Future readmission prevention efforts should focus on patients with more severe injuries requiring longer lengths of stay.

4.1 Limitations

Patients who traveled across state lines would not have been captured in this analysis. We do not know about deaths that occurred after discharge. The NRD is an administrative dataset which lacks some of the relevant clinical information. We have included only unplanned readmissions based upon a variable provided in the NRD. The use of administrative labels based on the timing of hospital registration for planned and unplanned admissions has been reported to have a high level of accuracy in one pediatric hospital [38], but we cannot verify the validity of these labels in our study. Our retrospective study could not evaluate important care delivery factors, such as access to specialized care, resources available at the primary institution, or caregiver and primary care resources which might affect readmission risk [39]. Day and time of discharge and caregivers’ perceptions about readiness for discharge may also be important factors [26, 39]. While there were low rates of missing data, misclassification cannot be assessed.

5. Conclusions

Care continuums and long term outcomes are receiving greater emphasis in pediatric trauma; 30 day readmission is one such long term outcome. Like mortality in pediatric trauma patients, the overall 30 day unplanned readmission rate was low. Not surprisingly, measures of injury severity, including length of stay, were most useful in identifying those with a higher risk of readmission. Discharge planning and other readmission prevention efforts should target these patients.

Acknowledgments

Funding

This research was supported by the Agency for Healthcare Research and Quality [grant number R01/HS2426301] and the Health Resources and Services Administration of the US Department of Health and Human Services [grant number R40/MC29448].

The authors would like to thank Kimberly Lever and Sarah Caupp for assistance with manuscript preparation.

Appendix A. Categorization of readmission diagnoses

Trauma-related diagnoses ICD 9 CM

Codes from Moore, 2014 [20] and Hoyt, 1992 [36] Added codes


1.Musculoskeletal/Integumentary

Compartment Syndrome 958.8 958.9

Decubitus 707.0;785.4

Loss of Reduction/Fixation 996.4

Nonunion 733.82

Osteomyelitis 730.0–730.2

Orthopedic Wound Infection 998.5;996.6

Complication Orthopedic Internal Device 996.78

Late Amputation Complication 997.69

Nonhealing of a Surgical Wound 998.83

Old Foreign Body in Soft Tissue 729.6

Acquired Limb Deformity 736.89

2. Infection

Clostridium difficile 008.45

Cellulitis/Traumatic Injury 681–682

Fungal Sepsis 038.9;117.9

Tracheostomy Infection 519.01

Sialoadentis 527.2

Infection of Cystostomy 596.81

Intra-abdominal Abscess 567.2;998.5

Local Skin Infection 686.9

Pyogenic Arthritis 711.0

Fever 780.60, 780.61

Line Infection 996.62;999.3

Necrotizing Fascitis 729.4

Sepsis-like Syndrome/Septicemia 038

Sinusitis 461;473

Wound Infection 998.5 958.3

Yeast Infection 112

3. Vascular

Anastomosis Hemorrhage 996.1–996.74

DVT 444.21–444.22;451.0;451.11; 451.19;453.8;997.2;999.2

Embolus (non-pulmonary) 444

Gangrene 785.4

Graft Infection 996.62

Thrombosis 996.74

4. Gastrointestinal

Anastomotic Leak 997.4

Bowel Injury (iatrogenic) 998.2

Dehiscence/Evisceration 998.3

Enterotomy 998.2

Fistula (other than pancreatic fistula) 998.6

Rectal and Anal Hemorrhage 569.3

GI Hemorrhage 578

Ileus 560.1;997.4

Peritonitis 567.2;567.9;998.5

SBO (Small Bowel Obstruction) 560.9;997.4

Intestinal Obstruction 560.89

Perforation of Intestine 569.83

Ulcer- Duodenal/Gastric 531–533

5. Pulmonary

Acute Tracheitis No Obstruction 464.10

Stenosis of Larynx 478.74

Abscess (excludes empyema) 513.0

ARDS 518.5

Aspiration/Pneumonia 507.0;997.3

Atelectasis 518.0

Empyema 510.9

Fat Embolus 958.1

Hemothorax/Pneumothorax 511.8;512.0;512.8;998.2

Pneumonia 480–486

Pulmonary Edema 428.1;518.4

Pulmonary Embolus 415.1

Respiratory Failure/Distress 518.81–518.82 518.84

Pleural Effusion 511.1–511.9

Other Pulmonary 519.8

Traumatic Subcutaneous Emphysema 958.7

6. Pain/Fluids/Other

Acute Postop Pain 338.18:

Post-trauma Headache 339.20, 339.21

Chest Pain 786.50

Abdominal Pain 789.0

Joint Pain Pelvis 719.45

Pain in Limb 729.5

Anesthetic Complication 995.2

Fluids 276.0–276.1;276.3;276.5–276.8

Hypothermia 780.9;991.6

Unexpected Postoperative Hemorrhage 998.1

Other Complications of Procedures 998.89

7. Neurologic

Alcohol Withdrawal 291.0;291.3;291.8

Anoxic Encephalopathy 348.1;997.0

Diabetes Insipidus 253.5

Postconcussion Syndrome 310.2

Meningitis 322;958.8

Intracranial Abscess 324.0

Obstructive Hydrocephalus 331.4

Cerebrospinal Rhinorrhea 349.81

Subdural Hemorrhage 432.1

Neuropraxia (iatrogenic) 997.0

Nonoperative SDH/EDH 253.6

Lumbosacral Neuritis 724.4

Seizure in Hospital 780.3

SIADH 253.6

Stroke/CVA 434;436

Ventriculitis-Postsurgical 322.9;996.63

8. Renal/GU

Renal Failure 584.5;584.9;958.5

Pyelonephritis 590.10, 590.80

Cystitis 595.9

Gross Hematuria 599.71

Ureteral Injury 998.2

UTI 599.0

9. Hepatic, Pancreatic, Biliary, Splenic

Abscess of Liver 5720

Cholangitis 5761

Obstruction of Bile Duct 5762

Pancreatic Cyst/Pseudocyst 577.2

Acalculous Cholecystitis 575.0–575.1

Hepatitis 070

Liver Failure 570;573.4;997.4

Pancreatic Fistula 577.8

Pancreatitis 577.0

Splenic Injury (iatrogenic) 998.2

Other Hepatic/Biliary 573.9;574;576.8–576.9

10. Psychiatric

Transient Mental Disorder 293.9

Acute Stress Reaction 308.9

11. Cardiovascular

Arrhythmia 427;997.1

Cardiac Arrest (unexpected) 427.5

Cardiogenic Shock 785.51

CHF (iatrogenic) 428

MI 410

Pericarditis 410.90–410.99;420.0;423.1, 423.2;423.9

Pericardial Effusion or Tamponade 420.90;423.0;423.9

Syncope and Collapse 780.2

Shock 785.50;785.59

Other Cardiovascular 997.1

ICD: International Classification of Diseases

Footnotes

1

National Readmission Database (NRD), All Patient Refined Diagnosis Related Groupings (APR-DRG), Adjusted Odds Ratio (AOR)

Meetings: A portion of this study was presented as a poster at the Pediatric Trauma Society meeting, Nashville, TN, USA, November 11–12, 2016.

Conflicts of interest: The authors have no conflicts of interest to report.

Level of Evidence

This is a Level III retrospective comparative study.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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