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Identifying pediatric community-acquired pneumonia hospitalizations: Accuracy of administrative billing codes.

ABSTRACT: Community-acquired pneumonia (CAP) remains one of the most common indications for pediatric hospitalization in the United States, and it is frequently the focus of research and quality studies. Use of administrative data is increasingly common for these purposes, although proper validation is required to ensure valid study conclusions.To validate administrative billing data for hospitalizations owing to childhood CAP.Case-control study of 4 tertiary care, freestanding children’s hospitals in the United States.A total of 998 medical records of a 25% random sample of 3646 children discharged in 2010 with at least 1 International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code representing possible pneumonia were reviewed. Discharges (matched on date of admission) without a pneumonia-related discharge code were also examined to identify potential missed pneumonia cases. Two reference standards, based on provider diagnosis alone (provider confirmed) or in combination with consistent clinical and radiographic evidence of pneumonia (definite), were used to identify CAP.Twelve ICD-9-CM–based coding strategies, each using a combination of primary or secondary codes representing pneumonia or pneumonia-related complications. Six algorithms excluded children with complex chronic conditions.Sensitivity, specificity, and negative and positive predictive values (NPV and PPV, respectively) of the 12 identification strategies.For provider-confirmed CAP (n?=?680), sensitivity ranged from 60.7% to 99.7%; specificity, 75.7% to 96.4%; PPV, 67.9% to 89.6%; and NPV, 82.6% to 99.8%. For definite CAP (n?=?547), sensitivity ranged from 65.6% to 99.6%; specificity, 68.7% to 93.0%; PPV, 54.6% to 77.9%; and NPV, 87.8% to 99.8%. Unrestricted use of the pneumonia-related codes was inaccurate, although several strategies improved specificity to more than 90% with a variable effect on sensitivity. Excluding children with complex chronic conditions demonstrated the most favorable performance characteristics. Performance of the algorithms was similar across institutions.Administrative data are valuable for studying pediatric CAP hospitalizations. The strategies presented here will aid in the accurate identification of relevant and comparable patient populations for research and performance improvement studies.

SUBMITTER: Williams DJ

PROVIDER: S-EPMC3907952 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature

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Identifying pediatric community-acquired pneumonia hospitalizations: Accuracy of administrative billing codes.

Williams Derek J DJ Shah Samir S SS Myers Angela A Hall Matthew M Auger Katherine K Queen Mary Ann MA Jerardi Karen E KE McClain Lauren L Wiggleton Catherine C Tieder Joel S JS

JAMA pediatrics 20130901 9

<h4>Importance</h4>Community-acquired pneumonia (CAP) remains one of the most common indications for pediatric hospitalization in the United States, and it is frequently the focus of research and quality studies. Use of administrative data is increasingly common for these purposes, although proper validation is required to ensure valid study conclusions.<h4>Objective</h4>To validate administrative billing data for hospitalizations owing to childhood CAP.<h4>Design and setting</h4>Case-control st ...[more]

PMID: 23896966

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Project description:Importance:Insurance billing claim databases represent a growing field of scientific inquiry within ophthalmology. Validating the accuracy of billing claim codes used during the care of diabetic retinopathy is a necessary precursor to fully understanding the underlying data and subsequent results of these types of studies. Objective:To determine the accuracy of diagnostic, procedural, and therapeutic billing codes used in the treatment of diabetic retinopathy. Design, Setting, and Participants:This retrospective medical record review was conducted at 3 clinical practices (1 academic and 2 private). Insured patients with diabetic retinopathy were seen by the practices between 2011 and 2013. Each patient then had every visit for 2 years reviewed twice, once for billing data and the second for data from the medical record. Data were collected and analyzed from October 2015 to July 2016. Main Outcomes and Measures:The positive predictive value (PPV) and negative predictive value (NPV) for each code of interest. Sensitivity and specificity were secondary outcomes. Results:A total of 146 patients (mean [SD] age, 60.3 [12.5] years) from 11 physicians had 1072 encounters reviewed over 2 calendar years. Among the included patients, 49.3% were female (n?=?72), 48.6% were white (n?=?71), 37.0% were black (n?=?54), and 18.5% had type 1 diabetes and a mean (SD) hemoglobin A1C level of 7.7% (1.8) (n?=?27). Nearly all codes of interest that were used frequently also had a high PPV (range, 89.5%-100%) and NPV (88.6%-100%) including billing codes for intravitreal injection, focal laser, panretinal photocoagulation, laterality of procedure, ranibizumab, bevacizumab, fundus photographs, fluorescein angiography, and optical coherence tomography. Codes that were used infrequently (<20 instances) but still had a high PPV (all 100%) and NPV (99.7%-100%) were codes for aflibercept, triamcinolone, and the dexamethasone implant. Only the codes for infrequently used B-scan ultrasonography (PPV, 69.6%) and subtenon injection (PPV, 100%; NPV, 99.7%, but sensitivity of only 40%) were found to be of questionable accuracy. Other than subtenon injection (40%), all codes were also found to have a high sensitivity (range, 87.6%-100%) and a high specificity (range, 97.2%-100%). Conclusions and Relevance:These data suggest diagnostic, procedure, and therapeutic codes derived from insurance billing claims accurately reflect the medical record for patients with diabetic retinopathy.

Project description:Italian pediatric antimicrobial prescription rates are among the highest in Europe. As a first step in an Antimicrobial Stewardship Program, we implemented a Clinical Pathway (CP) for Community Acquired Pneumonia with the aim of decreasing overall prescription of antibiotics, especially broad-spectrum.The CP was implemented on 10/01/2015. We collected antibiotic prescribing and outcomes data from children aged 3 months-15 years diagnosed with CAP from 10/15/2014 to 04/15/2015 (pre-intervention period) and from 10/15/2015 to 04/15/2016 (post-intervention period). We assessed antibiotic prescription differences pre- and post-CP, including rates, breadth of spectrum, and duration of therapy. We also compared length of hospital stay for inpatients and treatment failure for inpatients and outpatients. Chi-square and Fisher's exact test were used to compare categorical variables and Wilcoxon rank sum test was used to compare quantitative outcomes.120 pre- and 86 post-intervention clinic visits were identified with a diagnosis of CAP. In outpatients, we observed a decrease in broad-spectrum regimens (50% pre-CP vs. 26.8% post-CP, p = 0.02), in particular macrolides, and an increase in narrow-spectrum (amoxicillin) post-CP. Post-CP children received fewer antibiotic courses (median DOT from 10 pre-CP to 8 post-CP, p<0.0001) for fewer days (median LOT from 10 pre-CP to 8 post-CP, p<0.0001) than their pre-CP counterparts. Physicians prescribed narrow-spectrum monotherapy more frequently than broad-spectrum combination therapy (DOT/LOT ratio 1.157 pre-CP vs. 1.065 post-CP). No difference in treatment failure was reported before and after implementation (2.3% pre-CP vs. 11.8% post-CP, p = 0.29). Among inpatients we also noted a decrease in broad-spectrum regimens (100% pre-CP vs. 66.7% post-CP, p = 0.02) and the introduction of narrow-spectrum regimens (0% pre-CP vs. 33.3% post-CP, p = 0.02) post-CP. Hospitalized patients received fewer antibiotic courses post-CP (median DOT from 18.5 pre-CP to 10 post-CP, p = 0.004), while there was no statistical difference in length of therapy (median LOT from 11 pre-CP to 10 post-CP, p = 0.06). Days of broad spectrum therapy were notably lower post-CP (median bsDOT from 17 pre-CP to 4.5 post-CP, p <0.0001). No difference in treatment failure was reported before and after CP implementation (16.7% pre-CP vs. 15.4% post-CP, p = 1).Introduction of a CP for CAP in a Pediatric Emergency Department led to reduction of broad-spectrum antibiotic prescriptions, of combination therapy and of duration of treatment both for outpatients and inpatients.

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Identifying pediatric community-acquired pneumonia hospitalizations: Accuracy of administrative billing codes.

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Identifying pediatric community-acquired pneumonia hospitalizations: Accuracy of administrative billing codes.

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