Use of Emergency Department Data to Monitor and Respond to an Increase in Opioid Overdoses in New Hampshire, 2011-2015

OBJECTIVES

Opioid-related overdoses and deaths in New Hampshire have increased substantially in recent years, similar to increases observed across the United States. We queried emergency department (ED) data in New Hampshire to monitor opioid-related ED encounters as part of the public health response to this health problem.

METHODS

We obtained data on opioid-related ED encounters for the period January 1, 2011, through December 31, 2015, from New Hampshire's syndromic surveillance ED data system by querying for (1) chief complaint text related to the words "fentanyl," "heroin," "opiate," and "opioid" and (2) opioid-related International Classification of Diseases ( ICD) codes. We then analyzed the data to calculate frequencies of opioid-related ED encounters by age, sex, residence, chief complaint text values, and ICD codes.

RESULTS

Opioid-related ED encounters increased by 70% during the study period, from 3300 in 2011 to 5603 in 2015; the largest increases occurred in adults aged 18-29 and in males. Of 20 994 total opioid-related ED visits, we identified 18 554 (88%) using ICD code alone, 690 (3%) using chief complaint text alone, and 1750 (8%) using both chief complaint text and ICD code. For those encounters identified by ICD code only, the corresponding chief complaint text included varied and nonspecific words, with the most common being "pain" (n = 3335, 18%), "overdose" (n = 1555, 8%), "suicidal" (n = 816, 4%), "drug" (n = 803, 4%), and "detox" (n = 750, 4%). Heroin-specific encounters increased by 827%, from 4% of opioid-related encounters in 2011 to 24% of encounters in 2015.

CONCLUSIONS

Opioid-related ED encounters in New Hampshire increased substantially from 2011 to 2015. Data from New Hampshire's ED syndromic surveillance system provided timely situational awareness to public health partners to support the overall response to the opioid epidemic.

[The draft of the ICD-11 chapter on mental and behavioral disorders: an update for clinicians]

The ICD-11 chapter on mental and behavioral disorders is currently under development. A simplified version of the diagnostic guidelines for schizophrenia and other primary psychotic disorders, mood disorders, anxiety disorders, disorders specifically associated with stress, and feeding and eating disorders has been made available for use in the field studies. For all the other sections of the classification, a brief general definition and sometimes a description of some of the included disorders can be found on the ICD-11 beta platform. In the present article, we provide some information on the content of the various sections of the classification on the basis of the available documents, with the warning that some of the aspects may still be subject to revision.

Field testing of the ICHD-3β and expert opinion criteria for chronic migraine

BACKGROUND

Chronic headache (CrH) occurs commonly in the population, and chronic migraine (CM) accounts for much of the CrH. Diagnostic criteria for CM remain controversial, and this could lead to undertreatment of CM. The purpose of this study was to analyze the clinical profiles of CM and to field test the International Classification of Headache Disorders-3β criteria (ICHD-3β) and Expert Opinion criteria (EO) for CM application.

METHODS

We retrospectively reviewed the medical records of CrH patients in our headache clinic during the period. Eligible patients were selected from CrH population based on Silberstein and Lipton criteria (S-L) for CM, and meanwhile fulfilled with migraine days at least 8 days/month. Then we evaluated the characteristics of clinic profiles and outcomes between patients diagnosed CM using ICHD-3β and EO criteria. Field tested the CM criteria Of ICHD-3β and EO.

RESULTS

In a total of 710 CrH patients , 261 (36.8 %) were recruited with CM based on both S-L criteria and fulfilled at least 8 migraine days/month. Be understandable, all the 261 patients met the EO criteria, and only 185 (70.9 %) met ICHD-3β for CM. For the 76 patients who met EO but not ICHD-3β, 70 had atypical migraine attacks (probable migraine, PM), and another 6 had typical migraine attacks but less than a total history of 5 attacks. Although 173 (66.3 %) were concurrent with medication overuse, just one patient overused triptans and none used ergot agents. Clinical features were not significantly different between the ICHD-3β and EO criteria groups (P > 0.05), and neither were outcomes of prophylaxis (P = 0.966). Total migraine prophylaxis effectiveness was 73 %.

CONCLUSION

Migraine-specific analgesics are rarely used in China, permitting patients with PM to avail themselves of "migraine days" is a reasonable accommodation for this difficult condition. In our hands, use of the new EO criteria for diagnosis of CM increases the sensitivity and maintains the specificity of decision making, and therefore should be adopted in CM management practice.

Coding of Neuroinfectious Diseases

Accurate coding is an important function of neurologic practice. This contribution to Continuum is part of an ongoing series that presents helpful coding information along with examples related to the issue topic. Tips for diagnosis coding, Evaluation and Management coding, procedure coding, or a combination are presented, depending on which is most applicable to the subject area of the issue.

An integrated national mortality surveillance system for death registration and mortality surveillance, China

In China, sample-based mortality surveillance systems, such as the Chinese Center for Disease Control and Prevention's disease surveillance points system and the Ministry of Health's vital registration system, have been used for decades to provide nationally representative data on health status for health-care decision-making and performance evaluation. However, neither system provided representative mortality and cause-of-death data at the provincial level to inform regional health service needs and policy priorities. Moreover, the systems overlapped to a considerable extent, thereby entailing a duplication of effort. In 2013, the Chinese Government combined these two systems into an integrated national mortality surveillance system to provide a provincially representative picture of total and cause-specific mortality and to accelerate the development of a comprehensive vital registration and mortality surveillance system for the whole country. This new system increased the surveillance population from 6 to 24% of the Chinese population. The number of surveillance points, each of which covered a district or county, increased from 161 to 605. To ensure representativeness at the provincial level, the 605 surveillance points were selected to cover China's 31 provinces using an iterative method involving multistage stratification that took into account the sociodemographic characteristics of the population. This paper describes the development and operation of the new national mortality surveillance system, which is expected to yield representative provincial estimates of mortality in China for the first time.

Assessment of ICD-9-based case definitions for influenza-like illness surveillance

Population-based surveillance of influenza routinely relies on administrative medical encounter databases and ICD-9 codes. However, an assessment of the ICD-9 codes used for the Department of Defense (DoD) influenza-like illness (ILI) case definition has not been conducted since 2007. As coding practices may have changed over time, this analysis was done to determine the sensitivity, specificity, and positive predictive value (PPV) of the current ILI case definition and three alternative case definitions for the 2014-2015 influenza season. Influenza laboratory tests conducted on specimens from DoD beneficiaries during the 2014-2015 season were matched to ambulatory and inpatient medical encounters. The current DoD ILI case definition had high sensitivity (92%) but low specificity (30%) and moderate PPV (63%). A more specific ILI case definition utilizing only codes with greater than 75% influenza positivity for the matched laboratory test had high specificity (96%) and PPV (96%) and moderate sensitivity (62%). The current ILI case definition is sufficient for broad, sensitive population-based surveillance; however, an alternative case definition may be more appropriate when there is a need to maximize specificity.

ICHI Categorial Structure: a WHO-FIC Tool for Semantic Interoperability of Procedures Classifications

Casemix grouping using procedures classifications has become an important use case for health care terminologies. There are so many different national procedures classifications used for Casemix grouping that it is not possible to agree on a worldwide standard. ICHI (International Classification of Health Interventions) is proposing an approach that standardises only the terminologies' model structure. The poster shows the use of the ICHI alpha to replace ICD9 CM Volume 3 in the UNU-CBG International Casemix grouper.

Translating ICD-11 into French using lexical-based approach: a preliminary study

To translate the 11th edition of the International Classification of Diseases (ICD-11) into French, we proposed a lexical approach using Natural Language Processing techniques. This method relies on the 56 biomedical terminologies and ontologies included in the Cross-lingual Health Multiple Terminologies and Ontologies Portal. From a sample of 336 ICD-11 terms, the algorithm translated 164 (49%) terms into at least one French term each.

Design, development and first validation of a transcoding system from ICD-9-CM to ICD-10 in the IT.DRG Italian project

In Italy, ICD-9-CM is currently used for coding health conditions at hospital discharge, but ICD-10 is being introduced thanks to the IT-DRG Project. In this project, one needed component is a set of transcoding rules and associated tools for easing coders work in the transition. The present paper illustrates design and development of those transcoding rules, and their preliminary testing on a subset of Italian hospital discharge data.

Discovering beaten paths in collaborative ontology-engineering projects using Markov chains

Biomedical taxonomies, thesauri and ontologies in the form of the International Classification of Diseases as a taxonomy or the National Cancer Institute Thesaurus as an OWL-based ontology, play a critical role in acquiring, representing and processing information about human health. With increasing adoption and relevance, biomedical ontologies have also significantly increased in size. For example, the 11th revision of the International Classification of Diseases, which is currently under active development by the World Health Organization contains nearly 50,000 classes representing a vast variety of different diseases and causes of death. This evolution in terms of size was accompanied by an evolution in the way ontologies are engineered. Because no single individual has the expertise to develop such large-scale ontologies, ontology-engineering projects have evolved from small-scale efforts involving just a few domain experts to large-scale projects that require effective collaboration between dozens or even hundreds of experts, practitioners and other stakeholders. Understanding the way these different stakeholders collaborate will enable us to improve editing environments that support such collaborations. In this paper, we uncover how large ontology-engineering projects, such as the International Classification of Diseases in its 11th revision, unfold by analyzing usage logs of five different biomedical ontology-engineering projects of varying sizes and scopes using Markov chains. We discover intriguing interaction patterns (e.g., which properties users frequently change after specific given ones) that suggest that large collaborative ontology-engineering projects are governed by a few general principles that determine and drive development. From our analysis, we identify commonalities and differences between different projects that have implications for project managers, ontology editors, developers and contributors working on collaborative ontology-engineering projects and tools in the biomedical domain.

ICD-10: are you ready for a brave new world?

The ICD-10 transition will be an evolutionary process. Relying on the EHR or certified coding staff alone will not be sufficient. The EHR can facilitate easy search tools that assist the provider in selecting a diagnosis. Billing staff are an invaluable resource to help validate that coding and documentation are in sync but the burden will clearly rest on the provider. The provider will be juggling a new code structure, drilling down to new levels of complexity and ensuring their documentation supports the specificity of the new codes selected, all while managing a full patient schedule. Education for the provider will be of paramount importance as they navigate this brave new world.

Administrative data misclassifies and fails to identify nephrotoxin-associated acute kidney injury in hospitalized children

OBJECTIVES

Nephrotoxin exposure is a common cause of acute kidney injury (AKI) in hospitalized children. AKI detection relies on regular serum creatinine (SCr) screening among exposed patients. We sought to determine how well administrative data identify hospitalized noncritically ill children with nephrotoxic medication-associated AKI in the contexts of incomplete and complete screening.

METHODS

We conducted a single-center retrospective cohort study among noncritically ill hospitalized children. We compared administrative data sensitivity to that among a separate cohort for whom adequate screening was defined as daily SCr measurement. For the original cohort, nephrotoxin exposure was defined as exposure to ≥3 nephrotoxins at once or ≥3 days of aminoglycoside therapy. AKI was defined by the change in SCr (pediatric-modified Risk Injury Failure Loss End-Stage Renal Disease [pRIFLE] criteria) or discharge code. Adequate SCr screening was defined as 2 measurements obtained ≤96 hours apart. Administrative data and laboratory values were merged to compare AKI by discharge code and pRIFLE criteria.

RESULTS

747 of 1472 (50.7%) nephrotoxin-exposed patients were adequately screened; 82 (11.0%) had AKI by pRIFLE criteria, 52 (7.0%) by discharge code. Sensitivity of nephrotoxin-associated AKI diagnosis by discharge code compared with pRIFLE criteria was 23.2% (95% confidence interval = 14.0-32.3). In the comparison cohort, 70 (26.8%) patients had AKI by pRIFLE criteria and 26 (10.0%) by discharge code; sensitivity was 21.4% (95% confidence interval = 11.8%-31.0%).

CONCLUSIONS

pRIFLE criteria identified more patients than were identified by discharge code. Identifying patients with nephrotoxin-associated AKI by discharge code, even in the presence of complete AKI detection, underrepresents the true incidence of nephrotoxin-associated AKI in hospitalized children.

Emergency department visit classification using the NYU algorithm

OBJECTIVES

Reliable measures of emergency department (ED) use are important for studying ED utilization and access to care. We assessed the association of emergent classification of an ED visit based on the New York University ED Algorithm (EDA) with hospital mortality and hospital admission.

STUDY DESIGN

Using diagnosis codes, we applied the EDA to classify ED visits into emergent, intermediate, and nonemergent categories and studied associations of emergent status with hospital mortality and hospital admissions.

METHODS

We used a nationally representative sample of patients with visits to hospital-based EDs from repeated cross sections of the National Hospital Ambulatory Medical Care Survey from 2006 to 2009. We performed survey-weighted logistic regression analyses, adjusting for year and patient demographic and socioeconomic characteristics, to estimate the association of emergent ED visits with the probability of hospital mortality or hospital admission.

RESULTS

The EDA measure of emergent visits was significantly and positively associated with mortality (odds ratio [OR]: 3.79, 95% confidence interval [CI]: 2.50-5.75) and hospital admission (OR: 5.28, 95% CI, 4.93-5.66).

CONCLUSIONS

This analysis assessed the NYU algorithm in measuring emergent and nonemergent ED use in the general population. Emergent classification based on the algorithm was strongly and significantly positively associated with hospitalization and death in a nationally representative population. The algorithm can be useful in studying ED utilization and evaluating policies that aim to change it.

Using textual cause-of-death data to study drug poisoning deaths

Death certificate data are often used to study the epidemiology of poisoning deaths, but the International Classification of Diseases (ICD) codes used to tabulate death data do not convey all of the available information about the drugs and other substances named on death certificates. In the United States and some other countries, the SuperMICAR computer system is used to assign ICD codes to deaths. The SuperMICAR system also stores a verbatim record of the text entered for the cause of death. We used the SuperMICAR text entries to study the 7,817 poisoning deaths that occurred among Washington State residents between 2003 and 2010. We tabulated the drugs named on death certificates and computed age-adjusted and age-specific death rates for the top-named drugs and for prescription and illicit drugs. Methadone was named on 2,149 death certificates and was the most frequently named substance, followed by alcohol, opiate, cocaine, oxycodone, and methamphetamine. For both men and women and at all ages, prescription drugs were involved in more deaths than were illicit drugs. Among the 25 drugs named most frequently, only 4 have unique ICD codes; the other 21 can be identified only by using the SuperMICAR data.

Semantic interoperation and electronic health records: context sensitive mapping from SNOMED CT to ICD-10

An important case for successful deployment of a lifetime electronic health record is reuse of clinical data from the electronic health record (EHR) for epidemiology, reimbursement, and research. We report a collaboration between the IHTSDO and the WHO to develop knowledge-based tools supporting translation of data from SNOMED CT to the ICD-10 classification. These tools have been vetted by an international community and are available for system vendors to enhance the interoperability of their products. The maps we created are also informing the development of the next generation of classifications which will employ a common ontology base between SNOMED CT and ICD-11 to promote interoperability.

Social network integration of the ICD11 revision platform

Classification revision and update can be defined as a social experience, with the participating community of experts behaving like a social network. ICD11 is being revised using an innovative web based process, for which we envisioned also tools for social platforms integration. The present poster preliminarily describes the Facebook tools developed for soliciting expert and participation in the ICD11 revision process.

Outcome variation in the social security disability insurance program: the role of primary diagnoses

Based on the adjudicative process, the author classifies claimant-level data over an 8-year period (1997-2004) into four mutually exclusive categories: (1) initial allowances, (2) initial denials not appealed, (3) final allowances, and (4) final denials. The ability to predict those outcomes is explored within a multilevel modeling framework, with applicants clustered by state and primary diagnosis code. Variance decomposition suggests that medical diagnoses play a substantial role in explaining individual-level variation in initial allowances. Moreover, there is statistically significant high positive correlation between the predictions of an initial allowance and a final allowance across the diagnoses. This finding suggests that the ordinal ranking of impairments between these two adjudicative outcomes is widely preserved. In other words, impairments with a higher expectation of an initial allowance also tend to have a higher expectation of a final allowance.

Deaths: leading causes for 2009

OBJECTIVES

This report presents final 2009 data on the 10 leading causes of death in the United States by age, sex, race, and Hispanic origin. Leading causes of infant, neonatal, and postneonatal death are also presented. This report supplements the Division of Vital Statistics' annual report of final mortality statistics.

METHODS

Data in this report are based on information from all death certificates filed in the 50 states and the District of Columbia in 2009. Causes of death classified by the International Classification of Diseases, Tenth Revision (ICD-10) are ranked according to the number of deaths assigned to rankable causes. Cause-of-death statistics are based on the underlying cause of death.

RESULTS

In 2009, the 10 leading causes of death were, in rank order: Diseases of heart; Malignant neoplasms; Chronic lower respiratory diseases; Cerebrovascular diseases; Accidents (unintentional injuries); Alzheimer's disease; Diabetes mellitus; Influenza and pneumonia; Nephritis, nephrotic syndrome and nephrosis; and Intentional self-harm (suicide). These causes accounted for approximately 75% of all deaths occurring in the United States. Differences in the rankings are evident by age, sex, race, and Hispanic origin. Leading causes of infant death for 2009 were, in rank order: Congenital malformations, deformations and chromosomal abnormalities; Disorders related to short gestation and low birth weight, not elsewhere classified; Sudden infant death syndrome; Newborn affected by maternal complications of pregnancy; Accidents (unintentional injuries); Newborn affected by complications of placenta, cord and membranes; Bacterial sepsis of newborn; Respiratory distress of newborn; Diseases of the circulatory system; and Neonatal hemorrhage. Important variations in the leading causes of infant death are noted for the neonatal and postneonatal periods.

Annual research review: re-thinking the classification of autism spectrum disorders

BACKGROUND

The nosology of autism spectrum disorders (ASD) is at a critical point in history as the field seeks to better define dimensions of social-communication deficits and restricted/repetitive behaviors on an individual level for both clinical and neurobiological purposes. These different dimensions also suggest an increasing need for quantitative measures that accurately map their differences, independent of developmental factors such as age, language level and IQ.

METHOD

Psychometric measures, clinical observation as well as genetic, neurobiological and physiological research from toddlers, children and adults with ASD are reviewed.

RESULTS

The question of how to conceptualize ASDs along dimensions versus categories is discussed within the nosology of autism and the proposed changes to the DSM-5 and ICD-11. Differences across development are incorporated into the new classification frameworks.

CONCLUSIONS

It is crucial to balance the needs of clinical practice in ASD diagnostic systems, with neurobiologically based theories that address the associations between social-communication and restricted/repetitive dimensions in individuals. Clarifying terminology, improving description of the core features of ASD and other dimensions that interact with them and providing more valid and reliable ways to quantify them, both for research and clinical purposes, will move forward both practice and science.

Outpatient encounters associated with diagnostic codes for migraine and other types of headaches, active component service members, 1998-2010

This analysis examines incidence rates, prevalences, and outpatient encounters for migraine and other headache syndromes among active component members of the U.S. Armed Forces from 1998 through 2010. For both migraine and other headache syndromes, incidence rates, prevalences, and rates of outpatient encounters increased during the period. In 2010, 3.9 percent of male service members and 11.3 percent of females had at least one outpatient encounter for an episode of headache; rates were higher among females than males. Among service members ever diagnosed with migraine, 3 percent of men and 6 percent of women had more than 10 encounters for migraine; for other headache syndromes, the respective percentages were less than 1 percent. The introduction of new ICD-9 codes during the period had little effect on the coding practices for migraine, but did modestly affect the coding practices for other headache syndromes.

Preparing for ICD-10-CM/PCS: one payer's experience with general equivalence mappings (GEMs)

The International Classification of Diseases, Tenth Edition, Clinical Modification/Procedure Coding System (ICD-10-CM/PCS) has been mandated as the new code set to be used for medical coding in the United States beginning on October 1, 2013, replacing the use of the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). To assist in the transition from ICD-9-CM to ICD-10-CM/PCS, the National Center for Health Statistics developed bidirectional general equivalent mappings (GEMs) between the old and new code sets. This article looks at how the GEMs have been leveraged by Health Care Service Corporation (HCSC) to achieve the goal of transition to ICD-10-CM/PCS. The analysis examines the questions asked and lessons learned in the practical application of the GEMs for the translation of business rules and processes in order to promote a deeper understanding of the data issues involved in the transition from ICD-9-CM to ICD-10-CM/PCS from a payer's perspective.

The road to ICD-10-CM/PCS implementation: forecasting the transition for providers, payers, and other healthcare organizations

This article will examine the benefits and challenges of the US healthcare system's upcoming conversion to use of the International Classification of Diseases, Tenth Revision, Clinical Modification/Procedure Coding System (ICD-10-CM/PCS) and will review the cost implications of the transition. Benefits including improved quality of care, potential cost savings from increased accuracy of payments and reduction of unpaid claims, and improved tracking of healthcare data related to public health and bioterrorism events are discussed. Challenges are noted in the areas of planning and implementation, the financial cost of the transition, a shortage of qualified coders, the need for further training and education of the healthcare workforce, and the loss of productivity during the transition. Although the transition will require substantial implementation and conversion costs, potential benefits can be achieved in the areas of data integrity, fraud detection, enhanced cost analysis capabilities, and improved monitoring of patients' health outcomes that will yield greater cost savings over time. The discussion concludes with recommendations to healthcare organizations of ways in which technological advances and workforce training and development opportunities can ease the transition to the new coding system.

Lessons learned from an ICD-10-CM clinical documentation pilot study

On October 1, 2013, the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) will be mandated for use in the United States in place of the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). This new classification system will used throughout the nation's healthcare system for recording diagnoses or the reasons for treatment or care. A pilot study was conducted to determine whether current levels of inpatient clinical documentation provide the detail necessary to fully utilize the ICD-10-CM classification system for heart disease, pneumonia, and diabetes cases. The design of this pilot study was cross-sectional. Four hundred ninety-one de-identified records from two sources were coded using ICD-10-CM guidelines and codebooks. The findings of this study indicate that healthcare organizations need to assess clinical documentation and identify gaps. In addition, coder proficiency should be assessed prior to ICD-10-CM implementation to determine the need for further education and training in the biomedical sciences, along with training in the new classification system.

A comparison between a SNOMED CT problem list and the ICD-10-CM/PCS HIPAA code sets

In 2013 the United States will convert from the use of the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) to the use of the International Classification of Diseases, Tenth Revision, Clinical Modification/Procedure Coding System (ICD-10-CM/PCS). This study compares the approximately 5,000 terms in the July 2009 Clinical Observations Recording and Encoding (CORE) Problem List subset of the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) terminology produced by the National Library of Medicine with terms found in the January 2009 versions of ICD-10-CM/PCS. The comparison was done by a single individual and used the internally defined concepts of "Exact," "Inexact," "Model" (one SNOMED CT term to many ICD-10-CM/PCS terms), "Not Elsewhere Classified," "Not Otherwise Specified," "Synonym," and "Not Found" to classify the CORE Problem List terms according to the quality of the match. Among the CORE Problem List terms, 6.0 percent were not found in ICD-10-CM/PCS, and 69.1 percent had equivalent ICD-10-CM/PCS terms. The 13.0 percent of terms classified as "Inexact" could also be used directly assuming some acceptable loss of clinical precision. The 11.9 percent of terms classified as "Model" represent differences that require rule-based mapping. The results of this study suggest that ICD-10-CM/PCS meets the intended design goal of increased clinical precision but studies are needed to precisely define the depth of coverage.

Navigating regulatory change: preliminary lessons learned during the healthcare provider transition to ICD-10-CM/PCS

This article presents the findings of a collaborative effort between the Georgetown University Student Consulting Team and Booz Allen Hamilton to interview healthcare providers undergoing the transition to the International Classification of Diseases, Tenth Revision, Clinical Modification/Procedure Coding System (ICD-10-CM/PCS). The goals of this study were to extract a common set of trends, challenges, and lessons learned surrounding the implementation of the ICD-10-CM/PCS code set and to produce actionable information that might serve as a resource for organizations navigating the transition to ICD-10-CM/PCS. The selected survey sample focused on a subset of large hospitals, integrated health systems, and other national industry leaders who are likely to have initiated the implementation process far in advance of the October 2013 deadline. Guided by a uniform survey tool, the team conducted a series of one-on-one provider interviews with department heads, senior staff members, and project managers leading ICD-10-CM/PCS conversion efforts from six diverse health systems. As expected, the integrated health systems surveyed seem to be on or ahead of schedule for the ICD-10-CM/PCS coding transition. However, results show that as of April 2010 most providers were still in the planning stages of implementation and were working to raise awareness within their organizations. Although individual levels of preparation varied widely among respondents, the study identified several trends, challenges, and lessons learned that will enable healthcare providers to assess their own status with respect to the industry and will provide useful insight into best practices for the ICD-10-CM/PCS transition.

ICD-10 coding for congenital anomalies: a Canadian experience

The International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10 CM) will be implemented on October 1, 2013 in the United States by institutions such as hospitals and insurance companies, and by surveillance programs and registries. The Alberta Congenital Anomalies Surveillance System (ACASS) experienced a transition in 2000, changing from the British Paediatric Association version of ICD-9 (ICD-9 BPA) to the Royal College of Paediatrics and Child Health adaptation of ICD-10 (ICD-10 RCPCH). Although the United States will use ICD-10 CM, the experiences discussed are applicable to birth defects programs in the United States. ACASS is funded by the Alberta Ministry of Health known as Alberta Health and Wellness (AHW) and is primarily a passive system covering approximately 50,000 annual births in the province of Alberta. Hospitals in Alberta changed from ICD-9 to an enhanced version of ICD-10 developed by the Canadian Institute for Health Information (ICD-10 CA) in 2002. Both ICD-10 RCPCH and ICD-10 CA are comparable; however, ICD-10 RCPCH offers a more detailed breakdown of some congenital anomaly categories. Although the implementation date for ICD-10 CA was to be in 2002, Alberta hospitals were aware in 1999 that the change would occur. This 3-year period allowed for preparation by ACASS prior to the required implementation.

Deaths: final data for 2009

OBJECTIVE

This report presents final 2009 data on U.S. deaths, death rates, life expectancy, infant mortality, and trends by selected characteristics such as age, sex, Hispanic origin, race, state of residence, and cause of death.

METHODS

Information reported on death certificates, which is completed by funeral directors, attending physicians, medical examiners, and coroners, is presented in descriptive tabulations. The original records are filed in state registration offices. Statistical information is compiled in a national database through the Vital Statistics Cooperative Program of the Centers for Disease Control and Prevention's National Center for Health Statistics. Causes of death are processed in accordance with the International Classification of Diseases, Tenth Revision.

RESULTS

In 2009, a total of 2,437,163 deaths were reported in the United States. The age-adjusted death rate was 741.1 deaths per 100,000 standard population, a decrease of 2.3% from the 2008 rate and a record low figure. Life expectancy at birth rose 0.4 years, from 78.1 years in 2008 to a record-high 78.5 years in 2009. Age-specific death rates decreased for age groups: under 1 year, 1-4, 15-24, 55-64, 65-74, and 75-84. The age-specific death rates remained unchanged for age groups 5-14, 25-34, 35-44, 45-54, and 85 years and over. The 15 leading causes of death in 2009 remained the same as in 2008. The infant mortality rate decreased 3.3% to a historically low value of 6.39 deaths per 1,000 live births in 2009.

CONCLUSION

The decline of the age-adjusted death rate to a record low value for the United States and the increase in life expectancy to a record high value of 78.5 years are consistent with long-term trends in mortality.

Deaths: leading causes for 2007

OBJECTIVES

This report presents final 2007 data on the 10 leading causes of death in the United States by age, race, sex, and Hispanic origin. Leading causes of infant, neonatal, and postneonatal death are also presented. This report supplements the Division of Vital Statistics' annual report of final mortality statistics.

METHODS

Data in this report are based on information from all death certificates filed in the 50 states and the District of Columbia in 2007. Causes of death classified by the International Classification of Diseases, Tenth Revision (ICD-10) are ranked according to the number of deaths assigned to rankable causes. Cause-of-death statistics are based on the underlying cause of death.

RESULTS

In 2007, the 10 leading causes of death were, in rank order: Diseases of heart; Malignant neoplasms; Cerebrovascular diseases; Chronic lower respiratory diseases; Accidents (unintentional injuries); Alzheimer's disease; Diabetes mellitus; Influenza and pneumonia; Nephritis, nephrotic syndrome and nephrosis; and Septicemia. They accounted for approximately 76 percent of all deaths occurring in the United States. Differences in the rankings are evident by age, sex, race, and Hispanic origin. Leading causes of infant death for 2007 were, in rank order: Congenital malformations, deformations and chromosomal abnormalities; Disorders related to short gestation and low birth weight, not elsewhere classified; Sudden infant death syndrome; Newborn affected by maternal complications of pregnancy; Accidents (unintentional injuries); Newborn affected by complications of placenta, cord and membranes; Bacterial sepsis of newborn; Respiratory distress of newborn; Diseases of the circulatory system; and Neonatal hemorrhage. Important variations in the leading causes of infant death are noted for the neonatal and postneonatal periods.

Determination of problematic ICD-9-CM subcategories for further study of coding performance: Delphi method

In this study, we report on a qualitative method known as the Delphi method, used in the first part of a research study for improving the accuracy and reliability of ICD-9-CM coding. A panel of independent coding experts interacted methodically to determine that the three criteria to identify a problematic ICD-9-CM subcategory for further study were cost, volume, and level of coding confusion caused. The Medicare Provider Analysis and Review (MEDPAR) 2007 fiscal year data set as well as suggestions from the experts were used to identify coding subcategories based on cost and volume data. Next, the panelists performed two rounds of independent ranking before identifying Excisional Debridement as the subcategory that causes the most confusion among coders. As a result, they recommended it for further study aimed at improving coding accuracy and variation. This framework can be adopted at different levels for similar studies in need of a schema for determining problematic subcategories of code sets.

[Contributions from two Latin American psychiatric classifications to the development of ICD-11]

In the context of the updating of the International Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10), this study conducted a code-by-code comparison between the ICD-10 chapter "Mental and Behavioural Disorders" and the diagnostic categories of two Latin American classification schemes: the Third Cuban Psychiatric Glossary (GC-3) and the Latin American Guide to Psychiatric Diagnosis (GLADP). The objective was to help define what categories in the current classification should be broadened and what new categories might be added to the future ICD-11 to make it more applicable in local sociocultural and clinical contexts that differ from those found in regions whose perspectives have historically dominated the ICD, namely, the United States and Europe. It is hoped that the results will contribute to the efforts under way to develop a genuinely international classification system.

Relationship between ICD-10 psychosocial categories and psychiatric diagnosis in Israeli adolescents

AIM

The study examined the relationship between psychosocial categories obtained by WHO-developed semistructured interviews (ICD-10 Axis V) and clinical Axis I psychiatric diagnoses in psychiatrically hospitalized adolescents.

METHODS

The sample included 71 consecutive patients admitted to an adolescent unit and their mothers. Mothers completed a semi-structured interview derived from the criteria for each psychosocial category (Axis V), and the adolescents were diagnosed by experienced psychiatrists using the Schedule for Affective Disorders for School Age Children (K-SADS-P).

RESULTS

Anorexia nervosa and conduct disorder were associated with a psychosocial category of 'abnormal qualities of upbringing,' and conduct disorder and schizophrenia were associated with a psychosocial category of 'events brought about by the child's own behavior.'

CONCLUSIONS

The systematic assessment of psychosocial categories add specific information to the validity of the Axis I diagnosis.

Level of agreement between coding sources of percentage total body surface area burnt (%TBSA)

The percentage of total body surface area burnt (%TBSA) is a critical measure of burn injury severity and a key predictor of burn injury outcome. This study evaluated the level of agreement between four sources of %TBSA using 120 cases identified through the Victorian State Trauma Registry. Expert clinician, ICD-10-AM, Abbreviated Injury Scale, and burns registry coding were compared using measures of agreement. There was near-perfect agreement (weighted Kappa statistic 0.81-1) between all sources of data, suggesting that ICD-10-AM is a valid source of %TBSA and use of ICD-10-AM codes could reduce the resource used by trauma and burns registries capturing this information.

Developing a Core Set to describe functioning in vocational rehabilitation using the international classification of functioning, disability, and health (ICF)

INTRODUCTION

The consequences of accidents, injuries, and health conditions that prevent workers from engaging in employment are prevailing issues in the area of work disability. Vocational rehabilitation (VR) programs aim to facilitate return-to-work process but there is no universal description of functioning for patients who participate in VR. Our objective is to develop a Core Set for VR based on the international classification of functioning, disability, and health (ICF). An ICF Core Set is a short list of ICF categories with alphanumeric codes relevant to a health condition or a health-related event.

METHODS

Development process consists of three phases. First is the preparatory phase which consists of four parallel studies: (1) systematic review of the literature, (2) worldwide survey of experts, (3) cross-sectional study, and (4) focus group interview. Patients with various health conditions are to be recruited from five VR centers located in Switzerland and Germany. The second phase is a consensus conference where findings from the preparatory phase will be presented followed by a multi-stage consensus process to determine the ICF categories that will comprise the Core Set for VR. The final phase consists of validation studies in several health conditions and settings.

CONCLUSIONS

We expect the first version of the ICF Core Set for VR to be completed in 2010. The Core Set can serve as a guide in the evaluation of patients and in planning appropriate intervention within VR programs. This Core Set could also provide a standard and common language among clinicians, researchers, insurers, and policymakers in the implementation of successful VR.

Validating ICD coding algorithms for diabetes mellitus from administrative data

AIM

To assess validity of diabetes International Classification of Disease (ICD) 9 and 10 coding algorithms from administrative data using physicians' charts as the 'gold standard' across time periods and geographic regions.

METHODS

From 48 urban and 16 rural general practitioners' clinics in Alberta and British Columbia, Canada, we randomly selected 50patient charts/clinic for those who visited the clinic in either 2001 or 2004. Reviewed chart data were linked with inpatient discharge abstract and physician claims administrative data. We identified patients with diabetes in the administrative databases using ICD-9 code 250.xx and ICD-10 codes E10.x-E14.x.

RESULTS

The prevalence of diabetes was 8.1% among clinic charts. The coding algorithm of "2 physician claims within 2 years or 1 hospitalization with the relevant diabetes ICD codes" had higher validity than other 7 algorithms assessed (sensitivity 92.3%, specificity 96.9%, positive predictive value 77.2%, and negative predictive value 99.3%). After adjustment for age, sex, and comorbid conditions, sensitivity and positive predictive values were not significantly different between time periods and regions.

CONCLUSION

Diabetes could be accurately identified in administrative data using the following case definition "2 physician claims within 2 years or 1 hospital discharge abstract record with diagnosis codes 250.xx or E10.x-E14.x".

Proposal for a modernized Iranian notifiable infectious diseases surveillance system: comparison with USA and Australia

This article reports on a comparative study of the national notifiable infectious diseases surveillance systems currently employed in the United States of America, Australia and the Islamic Republic of Iran, with the aim ofdeveloping a modified system specific to the needs of the Iranian health system. Features of the surveillance systems examined in each country included: official data gathering structures; types of data collected; case definition and classification criteria; data collection processes; data analysis methods; disease classification systems; data dissemination and distribution methods; data quality control; and confidentiality procedures and guidelines. After consolidating the data, a model for an Iranian notifiable infectious diseases surveillance system was developed and was tested by the Delphi method in 3 stages.