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Background: Warfarin remains widely used and a key comparator in studies of other direct oral anticoagulants. As longer-than-needed warfarin prescriptions are often provided to allow for dosing adjustments according to international normalized ratios (INRs), the common practice of using a short allowable gap between dispensings to define warfarin discontinuation may lead to substantial misclassification of warfarin exposure. We aimed to quantify such misclassification and determine the optimal algorithm to define warfarin discontinuation., Methods: We linked Medicare claims data from 2007 to 2014 with a multicenter electronic health records system. The study cohort comprised patients ≥65 years with atrial fibrillation and venous thromboembolism initiating warfarin. We compared results when defining warfarin discontinuation by (1) different gaps (3, 7, 14, 30, and 60 days) between dispensings and (2) having a gap ≤60 days or bridging larger gaps if there was INR ordering at least every 42 days (60&#95;INR). Discontinuation was considered misclassified if there was an INR ≥2 within 7 days after the discontinuation date., Results: Among 3,229 patients, a shorter gap resulted in a shorter mean follow-up time (82, 95, 117, 159, 196, and 259 days for gaps of 3, 7, 14, 30, 60, and 60&#95;INR, respectively; p  < 0.001). Incorporating INR (60&#95;INR) can reduce misclassification of warfarin discontinuation from 68 to 4% ( p  < 0.001). The on-treatment risk estimation of clinical endpoints varied significantly by discontinuation definitions., Conclusion: Using a short gap between warfarin dispensings to define discontinuation may lead to substantial misclassification, which can be improved by incorporating intervening INR codes., Competing Interests: D.E.S. reports research support from Bristol Myers Squibb, and he is on the consulting/advisory Boards of Boehringer Ingelheim, Bristol Myers Squibb, Johnson and Johnson, and Pfizer, all for unrelated work. J.J.G. reports receiving salary support from grants from Eli Lilly and Company and Novartis Pharmaceuticals Corporation to the Brigham and Women's Hospital and having been a consultant to Optum, Inc., all for unrelated work. S.S. is the Principal investigator of investigator-initiated grants to the Brigham and Women's Hospital from Bayer and Vertex unrelated to the topic of this study. He is a consultant to WHISCON and to Aetion, a software manufacturer of which he owns equity. His interests were declared, reviewed, and approved by the Brigham and Women's Hospital and Partners HealthCare System in accordance with their institutional compliance policies. All other authors report no conflict of interest., (Thieme. All rights reserved.)

General Purpose: To present the associated risk factors, prevention measures, and assessment and management of pseudoverrucous lesions specific to a surgically created ileal conduit, as well as three clinical scenarios illustrating this condition., Target Audience: This continuing education activity is intended for physicians, physician assistants, nurse practitioners, and nurses with an interest in skin and wound care., Learning Objectives/outcomes: After participating in this educational activity, the participant will:1. Define pseudoverrucous lesions.2. Identify the risk factors for stoma complications such as pseudoverrucous lesions.3. Select the appropriate routine care procedures to teach patients following stoma creation to help prevent pseudoverrucous lesions.4. Choose the recommended treatment options for patients who develop pseudoverrucous lesions., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Hospital readmission data may be a useful tool in identifying risk factors leading to higher costs of care or poorer overall outcomes. Several studies have emerged utilizing these datasets to examine the trauma and burn population, which have been unable to distinguish planned from unplanned readmissions. The 2014 Nationwide Readmissions Database was queried for 363 burn-specific ICD-9 DX codes and filtered by age and readmission status to capture the adult burn population. Additionally, burn-related excision and grafting procedures were filtered from 25 ICD-9 SG codes to distinguish planned readmissions. A total of 26,719 burn patients were identified with 781 all-cause unscheduled 30-day readmissions. Further filtering by burn-related excision and grafting procedures then identified 468 patients undergoing a burn-related excision and grafting procedure on readmission, reducing the dataset to 313 patients and identifying up to 60% of readmissions as possibly improperly coded planned readmissions. From this dataset, nonoperative management on initial admission was found to have the strongest correlation with readmission (OR 5.00; 3.33-7.14). Notably corrected data, when stratified by annual burn patient admission volume, identified a significant likelihood of readmission (OR 4.57; 2.15-9.70) of centers receiving the lowest annual number of burn patients, which was not identified in the unfiltered dataset. Healthcare performance statistics may be a powerful metric when utilized appropriately; however, these databases must be carefully applied to small and special populations. This study has determined that as many as 60% of burn patient readmissions included in prior studies may be improperly coded planned readmissions., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Burn Association. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background The aim of this study was to determine whether frailty is associated with increased admission and mortality risk in the setting of heart failure. Methods and Results This retrospective cohort analysis included patients treated within the Veterans Affairs Health System who had International Classification of Diseases, Ninth Revision ( ICD-9 ) codes for heart failure on 2 or more dates over a 2-year period. The clinical variables identifiable in claims data, such as demographic variables and markers of physical and cognitive dysfunction, were used to identify patients meeting the frailty phenotype. Of 388 785 extracted patients with coding of heart failure between 2015 and 2018, 163 085 patients (41.9%) with ejection fraction (EF) measurement were included in the present analysis (38.3% with reduced EF and 61.7% with preserved EF). There were 16 660 patients (10.2%) who were identified as frail (9.1% in heart failure with reduced EF and 10.9% in heart failure with preserved EF). Frail patients were older, more often depressed, and were likely to have been admitted in the previous year. One-year all-cause mortality rate was 9.7% and 28.1%, and admission rate was 58.1% and 79.5% for nonfrail and frail patients, respectively. Frailty was associated with mortality and admission risk compared with the nonfrail group (adjusted odds ratio [OR], 1.71; 95% CI, 1.65-1.77 for mortality; adjusted OR, 1.29; 95% CI, 1.24-1.34 for admission) independent of EF. Conclusions Frailty based on diagnostic coding was associated with particularly higher risk of mortality despite adjustment for known clinical variables. Our findings underscore the importance of nontraditional parameters in the prognostic assessment.

Almost all medical care in the United States is delivered with the provider and patient in immediate proximity; this model is referred to as face-to-face care. Medical services can be apportioned as procedural care (eg, surgery, radiology, or laboratory testing and others) or cognitive care, also known as Evaluation and Management (E/M) services, in which the provider formulates an assessment and plan after obtaining information from the patient's history, examination, and diagnostic tests.Providing a medical opinion and plan using the telephone as the technology that links the provider and the patient is an example of a non-face-to-face E/M service. Common Procedural Terminology (CPT) codes and the details for how to provide telephone services have been available for decades but have not been reimbursed and therefore were rarely used. In recent years, as new technologies have evolved, there has been slow and steady acceptance that non-face-to-face E/M care can be an adjunct to or replacement for some face-to-face E/M services. These technologies and the descriptors for associated CPT and Healthcare Common Procedure Coding System (HCPCS) codes were introduced over the past few years and have become known by the generic term telehealth. They have been slowly incorporated into medical practice. Most of these services were introduced in the consumer retail market, in which the cost was borne directly by the patient, or as private contract services, in which the cost was borne by the consulting hospital, such as with telestroke services. In both the consumer retail model and private contract model, the care delivered usually did not involve CPT or HCPCS coding. The adoption of telehealth has been slow, in part because of the initial costs and several regulatory constraints, as well as the reluctance of patients, providers, and the insurance industry to change the concept that medical care could only be delivered when the patient and their provider were in physical proximity.After the COVID-19 pandemic reached the United States, the US Department of Health & Human Services issued a public health emergency and declared a Section 1135 Waiver that lifted many of the administrative constraints. With the need for near-absolute social distancing, this perfect storm has resulted in the immediate adoption of telemedicine, at least for the duration of the pandemic, for cognitive care to be delivered using communication technologies that are already in place. This article discusses the most common forms of non-face-to-face E/M care and the proper coding elements necessary to provide these services.

In many types of surgery, obesity may influence patient selection, prognosis, and/or management. Quantifying the accuracy of the coding of obesity and other prognostic factors is important for the design and interpretation of studies of surgical outcomes based on administrative healthcare data. This study assessed the validity of obesity diagnoses recorded in insurance claims data in selected surgical populations.This was a retrospective, observational study. Deidentified electronic health record (EHR) and linked administrative claims data were obtained for US patients age ≥20 years who underwent a qualifying surgical procedure (bariatric surgery, total knee arthroplasty [TKA], cardiac ablation, or hernia repair) in 2014Q1-2017Q1 (first = index). Patients' body mass index (BMI) as coded in the claims data (error-prone measure) during the index procedure or 180d pre-index was compared with their measured BMI as recorded in the EHR (criterion standard) to estimate the sensitivity and positive predictive value (PPV) of obesity diagnosis codes.Among patients who underwent bariatric surgery (N = 1422), TKA (N = 8670), cardiac ablation (N = 167), or hernia repair (N = 5450), obesity was present in 98%, 63%, 52%, and 54%, respectively, based on measured BMI. PPVs of obesity diagnosis codes were high: 99.3%, 96.0%, 92.8%, and 94.1% in bariatric surgery, TKA, cardiac ablation, and hernia repair, respectively. The sensitivity of obesity diagnoses was: 99.8%, 46.2%, 41.3%, and 42.3% in bariatric surgery, TKA, cardiac ablation, and hernia repair, respectively. Among false-positive patients diagnosed as obese but with measured BMI <30, the proportion with a BMI ≥28 was 40.0%, 67.6%, 60.7%, and 65.8% for bariatric surgery, TKA, cardiac ablation, and hernia repair, respectively.Our data indicate that obesity is highly prevalent in many surgical populations, obesity diagnosis codes have high PPVs, but also obesity is generally undercoded in claims data. Quantifying the validity of diagnosis codes for obesity and other important prognostic factors is important for the design and interpretation of studies of surgical outcomes based on administrative data. Further research is needed to determine the extent to which undercoding of BMI and obesity can be addressed through the use of proxies that may be better documented in claims data.

Medicare's Hospital Readmissions Reduction Program (HRRP) has been credited with lowering risk-adjusted readmission rates for targeted conditions at general acute care hospitals. However, these reductions appear to be illusory or overstated. This is because a concurrent change in electronic transaction standards allowed hospitals to document a larger number of diagnoses per claim, which had the effect of reducing risk-adjusted patient readmission rates. Prior studies of the HRRP relied upon control groups' having lower baseline readmission rates, which could falsely create the appearance that readmission rates are changing more in the treatment than in the control group. Accounting for the revised standards reduced the decline in risk-adjusted readmission rates for targeted conditions by 48 percent. After further adjusting for differences in pre-HRRP readmission rates across samples, we found that declines for targeted conditions at general acute care hospitals were statistically indistinguishable from declines in two control samples. Either the HRRP had no effect on readmissions, or it led to a systemwide reduction in readmissions that was roughly half as large as prior estimates have suggested.

A decade ago, the nuclear power industry in the United States was on the verge of a nuclear renaissance with the potential to create jobs, funding streams, and great demand for radiation protection personnel. However, based on the high capital investment cost of building and licensing nuclear reactors and declining fossil fuel prices, the renaissance did not reach its full potential. Radiation protection initiatives were developed to bring attention to the profession in order to increase funding for the health physics community during these times of declining resources. It is now essential that the community be innovative in how it uses existing funds and acquires resources. This paper describes a radiation protection computer code program that uses existing resources and international funding to sustain computer codes and tools used in the health physics profession. The program is called the U.S. Nuclear Regulatory Commission's Radiation Protection Computer Code Analysis and Maintenance Program or RAMP. This collaborative, innovative, and transformative model can be followed by others seeking to alleviate the resource issues that exist within the health physics field.

Changes in coding and coverage generate an uncertain reimbursement environment for molecular pathology laboratories. We analyzed our experience with two representative molecular oncology tests: a T-cell receptor (TCR) β rearrangement test and a large (467-gene) cancer next-generation sequencing panel, the Columbia Combined Cancer Panel (CCCP). Before 2013, the TCR β test was coded using stacked current procedural terminology codes and subsequently transitioned to a tier 1 code. CCCP was coded using a combination of tier 1 and 2 codes until 2015, when a new Genomic Sequencing Procedure code was adopted. A decrease in reimbursement of 61% was observed for the TCR β test on moving from stacking to tier 1 codes. No initial increase in total rejection rate was observed, but a subsequent increase in rejection rates in 2015 and 2016 was noted. The CCCP test showed a similar decrease (48%) in reimbursement after adoption of the new Genomic Sequencing Procedure code and was accompanied by a sharp increase in rejection rates both on implementation of the new code and over time. Changes in coding can result in substantial decreases in reimbursement. This may be a barrier to patient access because of the high cost of molecular diagnostics. Revisions to the molecular code set will continue. These findings help laboratories and manufacturers prepare for the financial impact and advocate appropriately., (Copyright © 2018 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.)

Objective: This commentary seeks to outline the problematic issues with the use of 96119 in billing for neuropsychological evaluations. Issues covered include billing for the provider's time when using technicians as well as the use of trainees when billing Medicare., Method: Resources from the Centers for Medicare and Medicaid Services (CMS) were reviewed along with a search of available documentation from regional carriers and the general literature., Conclusions: There has been much confusion in the professional community regarding billing for neuropsychological evaluation services when utilizing technicians and/or trainees. Much of this confusion has stemmed from discrepancies in interpretation of testing codes between the American Medical Association and CMS. Ultimately, clinicians must use codes according to the requirements of the payor, whether Medicare, Medicaid, or a private third-party payor. Failure to do so can be construed as fraud and result in unwanted penalties.

Introduction: The Accreditation Council for Graduate Medical Education (ACGME) case log captures resident operative experience based on Current Procedural Terminology (CPT) codes and is used to track operative experience during residency. With increasing emphasis on resident operative experiences, coding is more important than ever. It has been shown in other surgical specialties at similar institutions that the residents' ACGME case log may not accurately reflect their operative experience. What barriers may influence this remains unclear. As the only objective measure of resident operative experience, an accurate case log is paramount in representing one's operative experience. This study aims to determine the accuracy of procedural coding by general surgical residents at a single institution., Methods: Data were collected from 2 consecutive graduating classes of surgical residents' ACGME case logs from 2008 to 2014. A total of 5799 entries from 7 residents were collected. The CPT codes entered by residents were compared to departmental billing records submitted by the attending surgeon for each procedure. Assigned CPT codes by institutional American Academy of Professional Coders certified abstract coders were considered the "gold standard." A total of 4356 (75.12%) of 5799 entries were identified in billing records. Excel 2010 and SAS 9.3 were used for analysis. In the event of multiple codes for the same patient, any match between resident codes and billing record codes was considered a "correct" entry. A 4-question survey was distributed to all current general surgical residents at our institution for feedback on coding habits, limitations to accurate coding, and opinions on ACGME case log representation of their operative experience., Results: All 7 residents had a low percentage of correctly entered CPT codes. The overall accuracy proportion for all residents was 52.82% (range: 43.32%-60.07%). Only 1 resident showed significant improvement in accuracy during his/her training (p = 0.0043). The survey response rate was 100%. Survey results indicated that inability to find the precise code within the ACGME search interface and unfamiliarity with available CPT codes were by far the most common perceived barriers to accuracy. Survey results also indicated that most residents (74%) believe that they code accurately most of the time and agree that their case log would accurately represent their operative experience (66.6%)., Conclusion: This is the first study to evaluate correctness of residents' ACGME case logs in general surgery. The degree of inaccuracy found here necessitates further investigation into the etiology of these discrepancies. Instruction on coding practices should also benefit the residents after graduation. Optimizing communication among attendings and residents, improving ACGME coding search interface, and implementing consistent coding practices could improve accuracy giving a more realistic view of residents' operative experience., (Published by Elsevier Inc.)

Beginning October 2015, the Center for Medicare and Medicaid Services will require medical providers to use the vastly expanded International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) system. Despite wide availability of information and mapping tools for the next generation of the ICD classification system, some of the challenges associated with transition from ICD-9-CM to ICD-10-CM are not well understood. To quantify the challenges faced by emergency physicians, we analyzed a subset of a 2010 Illinois Medicaid database of emergency department ICD-9-CM codes, seeking to determine the accuracy of existing mapping tools in order to better prepare emergency physicians for the change to the expanded ICD-10-CM system. We found that 27% of 1830 codes represented convoluted multidirectional mappings. We then analyzed the convoluted transitions and found that 8% of total visit encounters (23% of the convoluted transitions) were clinically incorrect. The ambiguity and inaccuracy of these mappings may impact the workflow associated with the translation process and affect the potential mapping between ICD codes and Current Procedural Codes, which determine physician reimbursement., (Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.)

The American Association for the Surgery of Trauma (AAST) recently established a grading system for uniform reporting of anatomic severity of several emergency general surgery (EGS) diseases. There are five grades of severity for each disease, ranging from I (lowest severity) to V (highest severity). However, the grading process requires manual chart review. We sought to evaluate whether International Classification of Diseases, 9th and 10th Revisions, Clinical Modification (ICD-9-CM, ICD-10-CM) codes might allow estimation of AAST grades for EGS diseases. The Patient Assessment and Outcomes Committee of the AAST reviewed all available ICD-9-CM and ICD-10-CM diagnosis codes relevant to 16 EGS diseases with available AAST grades. We then matched grades for each EGS disease with one or more ICD codes. We used the Official Coding Guidelines for ICD-9-CM and ICD-10-CM and the American Hospital Association's "Coding Clinic for ICD-9-CM" for coding guidance. The ICD codes did not allow for matching all five AAST grades of severity for each of the 16 diseases. With ICD-9-CM, six diseases mapped into four categories of severity (instead of five), another six diseases into three categories of severity, and four diseases into only two categories of severity. With ICD-10-CM, five diseases mapped into four categories of severity, seven diseases into three categories, and four diseases into two categories. Two diseases mapped into discontinuous categories of grades (two in ICD-9-CM and one in ICD-10-CM). Although resolution is limited, ICD-9-CM and ICD-10-CM diagnosis codes might have some utility in roughly approximating the severity of the AAST grades in the absence of more precise information. These ICD mappings should be validated and refined before widespread use to characterize EGS disease severity. In the long-term, it may be desirable to develop alternatives to ICD-9-CM and ICD-10-CM codes for routine collection of disease severity characteristics.

In the United States, International Classification of Disease Clinical Modification (ICD-9-CM, the ninth revision) diagnosis codes are commonly used to identify patient cohorts and to conduct financial analyses related to disease. In October 2015, the healthcare system of the United States will transition to ICD-10-CM (the tenth revision) diagnosis codes. One challenge posed to clinical researchers and other analysts is conducting diagnosis-related queries across datasets containing both coding schemes. Further, healthcare administrators will manage growth, trends, and strategic planning with these dually-coded datasets. The majority of the ICD-9-CM to ICD-10-CM translations are complex and nonreciprocal, creating convoluted representations and meanings. Similarly, mapping back from ICD-10-CM to ICD-9-CM is equally complex, yet different from mapping forward, as relationships are likewise nonreciprocal. Indeed, 10 of the 21 top clinical categories are complex as 78% of their diagnosis codes are labeled as "convoluted" by our analyses. Analysis and research related to external causes of morbidity, injury, and poisoning will face the greatest challenges due to 41 745 (90%) convolutions and a decrease in the number of codes. We created a web portal tool and translation tables to list all ICD-9-CM diagnosis codes related to the specific input of ICD-10-CM diagnosis codes and their level of complexity: "identity" (reciprocal), "class-to-subclass," "subclass-to-class," "convoluted," or "no mapping." These tools provide guidance on ambiguous and complex translations to reveal where reports or analyses may be challenging to impossible.Web portal: http://www.lussierlab.org/transition-to-ICD9CM/Tables annotated with levels of translation complexity: http://www.lussierlab.org/publications/ICD10to9., (© The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Conversion to the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) was mandated for October 1, 2014, but was delayed by one year. ICD-10 accommodates newly developed diagnoses and procedures and is expected to help measure quality of care. When implemented, it will impact oncology practices because of conversion costs, loss of productivity, and billing problems. Clinical documentation must meet the specificity required by ICD-10 codes or risk denial of payments, which are projected to dramatically increase. In preparation for the now delayed conversion, the ICD-10 transition team at the Seattle Cancer Care Alliance (SCCA) examined the ICD-10 codes for primary hematology/oncology diagnoses and comorbidities of cancer and therapy seen at our institution to identify the need for and feasibility of developing a printable job aid to guide clinical documentation. We found that the variable complexity of ICD-10 codes in hematology/oncology frequently requires nonintuitive specificity likely to be overlooked without prompting. We were able to develop a succinct and facile documentation aid usable in both electronic and printed forms that includes all hematology/oncology diagnoses and the comorbidities most frequently seen in our multidisciplinary institution. This document is organized in a notebook format for easy review and will be continuously improved with feedback from practitioners. It is available for free download from the SCCA Web site., (Copyright © 2015 by the National Comprehensive Cancer Network.)

Background: Acute coronary syndromes account for half of all deaths secondary to cardiovascular disease and represent a significant economic burden in the United States. Therefore, assessing hospitalization costs relative to Medicare reimbursement for these patients is important in understanding the impact of these patients on hospitals. We hypothesized that hospitalization costs for acute myocardial infarction patients treated with percutaneous coronary intervention (PCI) were higher than their associated Medicare payments., Methods: Using the Nationwide Inpatient Sample, we evaluated hospitalization costs for patients treated with PCI from 2001 through 2009 by multiplying hospital charges by the group average cost-to-charge ratio for each patient's hospitalization. Primary end points examined were total hospital costs and trends over time, which were correlated with clinical outcomes and insurance payments. Costs were inflation adjusted with 2009 as the reference year., Results: Median hospitalization costs of PCI increased from $15 889 (interquartile range [IQR] = $12 057-$21 204) in 2001 to $19 349 (IQR = $14 660-$26 282) in 2009. From 2004 to 2009, inflation-adjusted costs for PCI decreased at a rate of 0.3% per year. In 2009, a total of 265,531 patients received PCI for acute myocardial infarction. Of these, 143 654 were <65 years old, and 121 876 were ≥65 years old. Average 2009 Medicare payments ranged from $9303 to $17 500 depending on the Medicare Severity-Diagnosis Related Groups (MS-DRG) billed, leaving hospitals at a loss of anywhere from $4493 to $7940 per patient when comparing costs and reimbursements across all included MS-DRG codes., Conclusions: Hospitalization costs for patients treated with PCI have been stabilizing over the last few years; however, there still remains a significant disparity between Medicare reimbursements and hospitalization costs, which has potential implications on patient outcomes, quality of care, and hospital sustainability., (© 2014 Wiley Periodicals, Inc.)

The International Classification of Diseases, 10th Revision, is required to be used by the Centers for Medicare and Medicaid Services health care billing data starting in October 2015 in the United States. The International Classification of Diseases, 10th Revision, is an update to the International Classification of Diseases, Ninth Revision, and contains approximately 70,000 codes compared with 14,000 codes. We aimed to discuss how our institution is updating the coding system in a manner that alleviates the possible burden placed on providers including more coding information required and longer load times. We performed a simulation test including testing the diagnosis calculator, timing, and how well the new and old codes mapped. We conducted a gap analysis to ensure that coding could begin in October of 2015 with minimal service interruptions. We will describe strategies and procedures to transition between systems while maintaining efficiency and helping to improve classification.

We studied sexual orientation disparities in health outcomes among US adolescents by pooling multiple Youth Risk Behavior Survey (YRBS) data sets from 2005 and 2007 for 14 jurisdictions. Here we describe the methodology for pooling and analyzing these data sets. Sexual orientation-related items assessed sexual orientation identity, gender of sexual contacts, sexual attractions, and harassment regarding sexual orientation. Wording of items varied across jurisdictions, so we created parallel variables and composite sexual minority variables. We used a variety of statistical approaches to address issues with the analysis of pooled data and to meet the aims of individual articles, which focused on a range of health outcomes and behaviors related to cancer, substance use, sexual health, mental health, violence, and injury.

The AMA continues to harbor serious concerns and reservations with the significant burden of the ICD-10 mandate and continues to convey these points to policymakers in Washington. The AMA is well aware of the concerns of physicians related to the growing number of burdens being placed on their practices, of which ICD-10 is a large one, and continues to advocate for overall regulatory relief. While the AMA has been working for many years to hold back the implementation of ICD-10, at this time, it does remain a regulatory mandate. Because of this, it is important that physicians prepare for its implementation in order to avoid the rejection of claims and cash flow interruptions.

Background: The current civilian Abbreviated Injury Scale (AIS), designed for automobile crash injuries, yields important information about civilian injuries. It has been recognized for some time, however, that both the AIS and AIS-based scores such as the Injury Severity Score (ISS) are inadequate for describing penetrating injuries, especially those sustained in combat. Existing injury coding systems do not adequately describe (they actually exclude) combat injuries such as the devastating multi-mechanistic injuries resulting from attacks with improvised explosive devices (IEDs)., Methods: After quantifying the inapplicability of current coding systems, the Military Combat Injury Scale (MCIS), which includes injury descriptors that accurately characterize combat anatomic injury, and the Military Functional Incapacity Scale (MFIS), which indicates immediate tactical functional impairment, were developed by a large tri-service military and civilian group of combat trauma subject-matter experts. Assignment of MCIS severity levels was based on urgency, level of care needed, and risk of death from each individual injury. The MFIS was developed based on the casualty's ability to shoot, move, and communicate, and comprises four levels ranging from "Able to continue mission" to "Lost to military." Separate functional impairments were identified for injuries aboard ship. Preliminary evaluation of MCIS discrimination, calibration, and casualty disposition was performed on 992 combat-injured patients using two modeling processes., Results: Based on combat casualty data, the MCIS is a new, simpler, comprehensive severity scale with 269 codes (vs. 1999 in AIS) that specifically characterize and distinguish the many unique injuries encountered in combat. The MCIS integrates with the MFIS, which associates immediate combat functional impairment with minor and moderate-severity injuries. Predictive validation on combat datasets shows improved performance over AIS-based tools in addition to improved face, construct, and content validity and coding inter-rater reliability. Thus, the MCIS has greater relevance, accuracy, and precision for many military-specific applications., Conclusion: Over a period of several years, the Military Combat Injury Scale and Military Functional Incapacity Scale were developed, tested and validated by teams of civilian and tri-service military expertise. MCIS shows significant promise in documenting the nature, severity and complexity of modern combat injury.

Objective: Applying the science of networks to quantify the discriminatory impact of the ICD-9-CM to ICD-10-CM transition between clinical specialties., Materials and Methods: Datasets were the Center for Medicaid and Medicare Services ICD-9-CM to ICD-10-CM mapping files, general equivalence mappings, and statewide Medicaid emergency department billing. Diagnoses were represented as nodes and their mappings as directional relationships. The complex network was synthesized as an aggregate of simpler motifs and tabulation per clinical specialty., Results: We identified five mapping motif categories: identity, class-to-subclass, subclass-to-class, convoluted, and no mapping. Convoluted mappings indicate that multiple ICD-9-CM and ICD-10-CM codes share complex, entangled, and non-reciprocal mappings. The proportions of convoluted diagnoses mappings (36% overall) range from 5% (hematology) to 60% (obstetrics and injuries). In a case study of 24 008 patient visits in 217 emergency departments, 27% of the costs are associated with convoluted diagnoses, with 'abdominal pain' and 'gastroenteritis' accounting for approximately 3.5%., Discussion: Previous qualitative studies report that administrators and clinicians are likely to be challenged in understanding and managing their practice because of the ICD-10-CM transition. We substantiate the complexity of this transition with a thorough quantitative summary per clinical specialty, a case study, and the tools to apply this methodology easily to any clinical practice in the form of a web portal and analytic tables., Conclusions: Post-transition, successful management of frequent diseases with convoluted mapping network patterns is critical. The http://lussierlab.org/transition-to-ICD10CM web portal provides insight in linking onerous diseases to the ICD-10 transition.

Background: The international trauma community has recognized the lack of a validated consensus definition of "polytrauma." We hypothesized that using a subjective definition, trauma surgeons will not have substantial agreement; thus, an objective definition is needed., Methods: A prospective observational study was conducted between December 2010 and June 2011 (John Hunter Hospital, Level I trauma center). Inclusion criteria were all trauma call patients with subsequent intensive care unit admission. The study was composed of four stages as follows: (1) four trauma surgeons assessed patients until 24 hours, then coded as either "yes" or "no" for polytrauma, and results compared for agreement; (2) eight trauma surgeons representing the United States, Germany, and the Netherlands graded the same prospectively assessed patients and coded as either "yes" or "no" for polytrauma; (3) 12 months later, the original four trauma surgeons repeated assessment via data sheets to test intrarater variability; and (4) individual subjective definitions were compared with three anatomic scores, namely, (a) Injury Severity Score (ISS) of greater than 15, (b) ISS of greater 17, and (c) Abbreviated Injury Scale (AIS) score of greater than 2 in at least two ISS body regions., Results: A total of 52 trauma patients were included. Results for each stage were as follows: (1) κ score of 0.50, moderate agreement; (2) κ score of 0.41, moderate agreement; (3) Rater 1 had moderate intrarater agreement (κ score, 0.59), while Raters 2, 3, 4 had substantial intrarater agreement (κ scores, 0.75, 0.66, and 0.71, respectively); and (4) none had most agreement with ISS of greater than 15 (κ score, 0.16), while both definitions ISS greater than 17 and Abbreviated Injury Scale (AIS) score of greater than 2 in at least two ISS body regions had on average fair agreement (κ scores, 0.27 and 0.39, respectively)., Conclusion: Based on subjective assessments, trauma surgeons do not agree on the definition of polytrauma, with the subjective definition differing both within and across institutions.

The Hospital Association of Rhode Island, in conjunction with the Rhode Island Cancer Registry, received funding for a special project to improve the validity and reliability of race and ethnicity data in hospital inpatient records. In the past year, five hospitals participated in a pilot to improve race/ethnicity data collection. This paper provides an overview of the design and initial implementation of the pilot, and reports on early feedback. Given that the Affordable Care Act strengthens federal data collection efforts, with a new standard issued which adds granularity, these policies can renew efforts to record more accurate and detailed race and ethnicity data. Improved race and ethnicity data will increase our understanding of the health needs of different racial and ethnic groups and health disparities between groups. Better data improves understanding, increases the likelihood of effective actions to address and monitor disparities, and ensure that every American has the opportunity to live the healthiest life possible.

The growing need for performing large-scale and low-cost biomedical studies has led organizations to promote the reuse of patient data. For instance, the National Institutes of Health in the US requires patient-specific data collected and analyzed in the context of Genome-Wide Association Studies (GWAS) to be deposited into a biorepository and broadly disseminated. While essential to comply with regulations, disseminating such data risks privacy breaches, because patients genomic sequences can be linked to their identities through diagnosis codes. This work proposes a novel approach that prevents this type of data linkage by modifying diagnosis codes to limit the probability of associating a patients identity to their genomic sequence. Our approach employs an effective algorithm that uses generalization and suppression of diagnosis codes to preserve privacy and takes into account the intended uses of the disseminated data to guarantee utility. We also present extensive experiments using several datasets derived from the Electronic Medical Record (EMR) system of the Vanderbilt University Medical Center, as well as a large-scale case-study using the EMRs of 79K patients, which are linked to DNA contained in the Vanderbilt University biobank. Our results verify that our approach generates anonymized data that permit accurate biomedical analysis in tasks including case count studies and GWAS.

Background: Craniofacial microsomia (CFM) is a congenital condition characterized by microtia and mandibular underdevelopment. Healthcare databases and birth defects surveillance programs could be used to improve knowledge of CFM. However, no specific International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code exists for this condition, which makes standardized data collection challenging. Our aim was to evaluate the validity of existing ICD-9-CM codes to identify individuals with CFM., Methods: Study sample eligibility criteria were developed by an expert panel and matched to 11 ICD-9-CM codes. We queried hospital discharge data from two craniofacial centers and identified a total of 12,254 individuals who had ≥1 potentially CFM-related code(s). We reviewed all (n = 799) medical records identified at the University of North Carolina (UNC) and 500 randomly selected records at Seattle Children's Hospital (SCH). Individuals were classified as a CFM case or non-case., Results: Thirty-two individuals (6%) at SCH and 93 (12%) at UNC met the CFM eligibility criteria. At both centers, 59% of cases and 95% of non-cases had only one code assigned. At both centers, the most frequent codes were 744.23 (microtia), 754.0 and 756.0 (nonspecific codes), and the code 744.23 had a positive predictive value (PPV) >80% and sensitivity >70%. The code 754.0 had a sensitivity of 3% (PPV <1%) at SCH and 36% (PPV = 5%) at UNC, whereas 756.0 had a sensitivity of 38% (PPV = 5%) at SCH and 18% (PPV = 26%) at UNC., Conclusions: These findings suggest the need for a specific CFM code to facilitate CFM surveillance and research., (Copyright © 2012 Wiley Periodicals, Inc.)

Background: The Agency for Healthcare Research and Quality Patient Safety Indicator (PSI) 11 uses International Classification of Disease, 9th Clinical Modification diagnosis code 518.81 ("Acute respiratory failure")-but not the closely related alternative, 518.5 ("Pulmonary insufficiency after trauma and surgery")-to detect cases of postoperative respiratory failure. We sought to determine whether hospitals vary in the use of 518.81 versus 518.5 and whether such variation correlates with coder beliefs., Study Design: We conducted a cross-sectional analysis of administrative data from July 2009 through June 2010 for UHC (formerly University HealthSystem Consortium)-affiliated centers to assess the use of diagnosis codes 518.81 and 518.5 in PSI 11-eligible cases. We also surveyed coders at these centers to evaluate whether variation in the use of 518.81 versus 518.5 might be linked to coder beliefs. We asked survey respondents which diagnosis they would use for 2 ambiguous cases of postoperative pulmonary complications and how much they agreed with 6 statements about the coding process., Results: UHC-affiliated centers demonstrated wide variation in the use of 518.81 and 518.5, ranging from 0 to 26 cases and 0 to 56 cases/1000 PSI 11-eligible hospitalizations, respectively. Of 56 survey respondents, 64% chose 518.81 and 30% chose 518.5 for a clinical scenario involving postoperative respiratory failure, but these responses were not associated with actual coding of 518.81 or 518.5 at the center level. Sixty-two percent of respondents agreed that they are constrained by the words that physicians use. Their self-reported likelihood of querying physicians to clarify the diagnosis was significantly associated with coding of 518.5 at the center level., Conclusions: The extent to which diagnosis code 518.81 is used relative to 518.5 varies considerably across centers, based on local coding practice, the specific wording of physician documentation, and coder-physician communication. To standardize the coding of postoperative respiratory failure, the 518.81 and 518.5 codes have recently been revised to make the available options clearer and mutually exclusive, which may improve the capacity of PSI 11 to discriminate true differences in quality of care.

We describe a simple statistical model that allows for a comparison of staging data from the Centers for Disease Control and Prevention's (CDC's) National Program of Cancer Registries during 1998-2008. In this program, cancers diagnosed during 1998-2000 were coded according to Summary Stage 1977, those diagnosed during 2001-2003 according to Summary Stage 2000, and those diagnosed during 2004-2008 according to the Collaborative Stage system. These changes in stage coding systems were associated with an abrupt shift in the distribution of extent of disease for colorectal cancer, particularly changes in the proportion of local vs regional stage disease, in some states. The method described here adjusts for the use of different staging systems over time so that temporal trends in the distribution of extent of disease can be evaluated. The method is applied to the proportion of localized stage colorectal cancer, but should be applicable to other cancers.

Study Design: We reviewed existing methods for identifying patients with neck and back pain in administrative data. We compared these methods using data from the Department of Veterans Affairs., Objective: To answer the following questions: (1) what diagnosis codes should be used to identify patients with neck pain and back pain in administrative data; (2) because the majority of complaints are characterized as nonspecific or mechanical, what diagnosis codes should be used to identify patients with nonspecific or mechanical problems in administrative data; and (3) what procedure and surgical codes should be used to identify patients who have undergone a surgical procedure on the neck or back., Summary of Background Data: Musculoskeletal neck and back pain are pervasive problems, associated with chronic pain, disability, and high rates of health care utilization. Administrative data have been widely used in formative research, which has largely relied on the original work of Volinn, Cherkin, Deyo, and Einstadter and the Back Pain Patient Outcomes Assessment Team first published in 1992. Significant variation in reports of incidence, prevalence, and morbidity associated with these problems may be due to nonstandard or conflicting methods to define study cohorts., Methods: A literature review produced 7 methods for identifying neck and back pain in administrative data. These code lists were used to search Veterans Health Administration data for patients with back and neck problems, and to further categorize each case by spinal segment involved, as nonspecific/mechanical and as surgical or not., Results: There is considerable overlap in most algorithms. However, gaps persist., Conclusion: Gaps are evident in existing methods and a new framework to identify patients with neck pain and back pain in administrative data is proposed.

Background: Acute exacerbations of COPD (AE-COPD) are a leading cause of hospitalizations in the United States. To estimate the burden of disease (eg, prevalence and cost), identify opportunities to improve care quality (eg, performance measures), and conduct observational comparative effectiveness research studies, various algorithms based on the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes have been used to identify patients with COPD. However, the validity of these algorithms remains unclear., Methods: We compared the test characteristics (sensitivity, specificity, positive predictive value, and negative predictive value) of four different coding algorithms for identifying patients hospitalized for an exacerbation of COPD with chart review (reference standard) using a stratified probability sample of 200 hospitalizations at two urban academic medical centers. Sampling weights were used when calculating prevalence and test characteristics., Results: The prevalence of COPD exacerbations (based on the reference standard) was 7.9% of all hospitalizations. The sensitivity of all ICD-9-CM algorithms was very low and varied by algorithm (12%-25%), but the negative predictive value was similarly high across algorithms (93%-94%). The specificity was > 99% for all algorithms, but the positive predictive value varied by algorithm (81%-97%)., Conclusions: Algorithms based on ICD-9-CM codes will undercount hospitalizations for AE-COPD, and as many as one in five patients identified by these algorithms may be misidentified as having a COPD exacerbation. These findings suggest that relying on ICD-9-CM codes alone to identify patients hospitalized for AE-COPD may be problematic.

Background: In the United States, the Agency for Healthcare Research and Quality (AHRQ) has developed 20 Patient Safety Indicators (PSIs) to measure the occurrence of hospital adverse events from medico-administrative data coded according to the ninth revision of the international classification of disease (ICD-9-CM). The adaptation of these PSIs to the WHO version of ICD-10 was carried out by an international consortium., Methods: Two independent teams transcoded ICD-9-CM diagnosis codes proposed by the AHRQ into ICD-10-WHO. Using a Delphi process, experts from six countries evaluated each code independently, stating whether it was "included", "excluded" or "uncertain". During a two-day meeting, the experts then discussed the codes that had not obtained a consensus, and the additional codes proposed., Results: Fifteen PSIs were adapted. Among the 2569 proposed diagnosis codes, 1775 were unanimously adopted straightaway. The 794 remaining codes and 2541 additional codes were discussed. Three documents were prepared: (1) a list of ICD-10-WHO codes for the 15 adapted PSIs; (2) recommendations to the AHRQ for the improvement of the nosological frame and the coding of PSI with ICD-9-CM; (3) recommendations to the WHO to improve ICD-10., Conclusions: This work allows international comparisons of PSIs among the countries using ICD-10. Nevertheless, these PSIs must still be evaluated further before being broadly used., (Copyright © 2011 Elsevier Masson SAS. All rights reserved.)