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ICD-9 code validation

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https://www.readbyqxmd.com/read/28067697/national-administrative-databases-in-adult-spinal-deformity-surgery-a-cautionary-tale
#1
Aaron J Buckland, Gregory Poorman, Robert Freitag, Cyrus Jalai, Eric O Klineberg, Michael Kelly, Peter G Passias
STUDY DESIGN: Comparison between national administrative databases and a prospective multicenter physician managed database. OBJECTIVES: This study aims to assess the applicability of National Administrative Databases (NADs) in Adult Spinal Deformity (ASD). Our hypothesis is that NADs do not include comparable patients as in a physician-managed database (PMD) for surgical outcomes in adult spinal deformity. SUMMARY OF BACKGROUND DATA: NADs such as National Inpatient Sample (NIS) and National Surgical Quality Improvement Program (NSQIP) provide large numbers of publications owing to ease of data access and lack of IRB approval requirement...
January 6, 2017: Spine
https://www.readbyqxmd.com/read/28039618/birth-settings-and-the-validation-of-neonatal-seizures-recorded-in-birth-certificates-compared-to-medicaid-claims-and-hospital-discharge-abstracts-among-live-births-in-south-carolina-1996-2013
#2
Qing Li, Dorothea D Jenkins, Stephen L Kinsman
Objective Neonatal seizures in the first 28 days of life often reflect underlying brain injury or abnormalities, and measure the quality of perinatal care in out-of-hospital births. Using the 2003 revision of birth certificates only, three studies reported more neonatal seizures recorded among home births ​or planned out-of-hospital births compared to hospital births. However, the validity of recording neonatal seizures or serious neurologic dysfunction across birth settings in birth certificates has not been evaluated...
December 30, 2016: Maternal and Child Health Journal
https://www.readbyqxmd.com/read/28033134/validating-the-use-of-icd-9-code-mapping-to-generate-injury-severity-scores
#3
Ross J Fleischman, N Clay Mann, Mengtao Dai, James F Holmes, N Ewen Wang, Jason Haukoos, Renee Y Hsia, Thomas Rea, Craig D Newgard
The Injury Severity Score (ISS) is a measure of injury severity widely used for research and quality assurance in trauma. Calculation of ISS requires chart abstraction, so it is often unavailable for patients cared for in nontrauma centers. Whether ISS can be accurately calculated from International Classification of Diseases, Ninth Revision (ICD-9) codes remains unclear. Our objective was to compare ISS derived from ICD-9 codes with those coded by trauma registrars. This was a retrospective study of patients entered into 9 U...
January 2017: Journal of Trauma Nursing: the Official Journal of the Society of Trauma Nurses
https://www.readbyqxmd.com/read/28002751/validity-of-hospital-discharge-records-to-identify-pregestational-diabetes-in-an-italian-population
#4
Lucia Borsari, Carlotta Malagoli, Paola Ballotari, Gianfranco De Girolamo, Karin Bonora, Federica Violi, Oreste Capelli, Rossella Rodolfi, Fausto Nicolini, Marco Vinceti
AIMS: In recent years, the prevalence of pregestational diabetes (PGDM) and the concern about the possibility of adverse pregnancy outcomes in affected women have been increasing. Routinely collected health data represent a timely and cost-efficient approach in PGDM epidemiological research. This study aims to evaluate the reliability of hospital discharge (HD) coding to identify a population-based cohort of pregnant women with PGDM and to assess trends in prevalence in two provinces of Northern Italy...
December 5, 2016: Diabetes Research and Clinical Practice
https://www.readbyqxmd.com/read/27997983/validation-of-international-classification-of-disease-ninth-revision-codes-for-atopic-dermatitis
#5
Derek Y Hsu, Prarthana Dalal, Kimberly A Sable, Nihal Voruganti, Beatrice Nardone, Dennis West, Jonathan I Silverberg
BACKGROUND: Evaluation of large-scale data sets is needed to better understand the epidemiology, cost and burden of atopic dermatitis (AD). We sought to validate the use of ICD-9-CM codes for identifying AD. METHODS: Patients from a large metropolitan quaternary care medical center with a diagnostic code of either 691.8 (AD) or 692.9 (eczema and contact dermatitis) were queried. Medical records were reviewed for demographics, Hanifin & Rajka (H&R) and United Kingdom Working Party (UKWP) criteria...
December 20, 2016: Allergy
https://www.readbyqxmd.com/read/27994938/the-utility-of-including-pathology-reports-in-improving-the-computational-identification-of-patients
#6
Wei Chen, Yungui Huang, Brendan Boyle, Simon Lin
BACKGROUND: Celiac disease (CD) is a common autoimmune disorder. Efficient identification of patients may improve chronic management of the disease. Prior studies have shown searching International Classification of Diseases-9 (ICD-9) codes alone is inaccurate for identifying patients with CD. In this study, we developed automated classification algorithms leveraging pathology reports and other clinical data in Electronic Health Records (EHRs) to refine the subset population preselected using ICD-9 code (579...
2016: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/27987568/-icd-coding-quality-for-outpatient-cancer-diagnoses-in-shi-claims-data
#7
Jonas Czwikla, Dominik Domhoff, Klaus Giersiepen
BACKGROUND: Despite their importance for the morbidity-oriented risk structure compensation scheme, the ICD coding quality for outpatient diagnoses is often criticized. However, the coding quality for outpatient cancer diagnoses remains unclear. In this study, we examined the ICD-10 coding quality for outpatient breast, prostate and colorectal cancer diagnoses in statutory health insurance (SHI) claims data. METHODS: The cohort study comprised 34,756 members of the BARMER GEK statutory health insurance fund diagnosed with breast, prostate or colorectal cancer in 2012 and with no respective diagnosis in the previous 4 quarters...
December 2016: Zeitschrift Für Evidenz, Fortbildung und Qualität Im Gesundheitswesen
https://www.readbyqxmd.com/read/27979750/identification-and-validation-of-a-sickle-cell-disease-cohort-within-electronic-health-records
#8
Daniel E Michalik, Bradley W Taylor, Julie A Panepinto
OBJECTIVES: To develop and validate a computable phenotype algorithm for identifying patient populations with sickle cell disease. METHODS: This retrospective study used electronic health record data from the Children's Hospital of Wisconsin to develop a computable phenotype algorithm for sickle cell disease. The algorithm was based upon ICD-9 codes, number of visits, and hospital admissions for sickle cell disease. Through i2b2 queries, the algorithm was refined in an iterative process...
December 12, 2016: Academic Pediatrics
https://www.readbyqxmd.com/read/27974057/validation-of-icd-9-cm-diagnosis-codes-for-surgical-site-infection-and-noninfectious-wound-complications-after-mastectomy
#9
Margaret A Olsen, Kelly E Ball, Katelin B Nickel, Anna E Wallace, Victoria J Fraser
BACKGROUND Few studies have validated ICD-9-CM diagnosis codes for surgical site infection (SSI), and none have validated coding for noninfectious wound complications after mastectomy. OBJECTIVES To determine the accuracy of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes in health insurer claims data to identify SSI and noninfectious wound complications, including hematoma, seroma, fat and tissue necrosis, and dehiscence, after mastectomy. METHODS We reviewed medical records for 275 randomly selected women who were coded in the claims data for mastectomy with or without immediate breast reconstruction and had an ICD-9-CM diagnosis code for a wound complication within 180 days after surgery...
December 15, 2016: Infection Control and Hospital Epidemiology
https://www.readbyqxmd.com/read/27927935/large-scale-identification-of-patients-with-cerebral-aneurysms-using-natural-language-processing
#10
Victor M Castro, Dmitriy Dligach, Sean Finan, Sheng Yu, Anil Can, Muhammad Abd-El-Barr, Vivian Gainer, Nancy A Shadick, Shawn Murphy, Tianxi Cai, Guergana Savova, Scott T Weiss, Rose Du
OBJECTIVE: To use natural language processing (NLP) in conjunction with the electronic medical record (EMR) to accurately identify patients with cerebral aneurysms and their matched controls. METHODS: ICD-9 and Current Procedural Terminology codes were used to obtain an initial data mart of potential aneurysm patients from the EMR. NLP was then used to train a classification algorithm with .632 bootstrap cross-validation used for correction of overfitting bias. The classification rule was then applied to the full data mart...
January 10, 2017: Neurology
https://www.readbyqxmd.com/read/27925839/validation-of-the-v66-7-code-for-palliative-care-consultation-in-a-single-academic-medical-center
#11
May Hua, Guohua Li, Caitlin Clancy, R Sean Morrison, Hannah Wunsch
BACKGROUND: Use of administrative data to study the effectiveness of specialized palliative care is limited by the lack of a reliable method to identify patients receiving palliative care consultation. The International Classification of Diseases, Ninth Revision (ICD-9) code V66.7 has been used, but its validity for this purpose is unknown. OBJECTIVE: To examine the validity of the ICD-9 code V66.7 for identifying whether hospitalized patients received palliative care consultation...
December 7, 2016: Journal of Palliative Medicine
https://www.readbyqxmd.com/read/27891527/the-multimorbidity-index-a-tool-for-assessing-the-prognosis-of-patients-from-their-history-of-illness
#12
Farrokh Alemi, Cari R Levy, Raya E Kheirbek
BACKGROUND: The Multimorbidity (MM) Index predicts the prognosis of patients from their diagnostic history. In contrast to existing approaches with broad diagnostic categories, it treats each diagnosis as a separate independent variable using individual International Classification of Disease, Revision 9 (ICD-9) codes. OBJECTIVE: This paper describes the MM Index, reviews the published data on its accuracy, and provides procedures for implementing the Index within electronic health record (EHR) systems...
2016: EGEMS
https://www.readbyqxmd.com/read/27888989/burden-and-risk-factors-of-ambulatory-or-hospitalized-cap-a%C3%A2-population-based-cohort-study
#13
Martin Kolditz, Falko Tesch, Luise Mocke, Gert Höffken, Santiago Ewig, Jochen Schmitt
BACKGROUND: Data on incidence, risk factors and outcome of community-acquired pneumonia (CAP) including outpatients is sparse. METHODS: We conducted a cohort study on 1.837.080 adults insured by a German statutory health insurance in 2010-2011. CAP was identified via ICD-10-GM codes, ambulatory cases were validated by antibiotic prescription within 7 days. Primary outcomes were incidence, hospitalisation and 30-day all-cause mortality. Evaluated risk factors included age, sex and comorbidities...
December 2016: Respiratory Medicine
https://www.readbyqxmd.com/read/27887676/trauma-patients-i-can-t-get-no-patient-satisfaction
#14
Karalyn Bentley-Kumar, Theresa Jackson, Danny Holland, Brian LeBlanc, Vaidehi Agrawal, Michael S Truitt
BACKGROUND: The Centers for Medicare and Medicaid Services (CMS) provides financial incentives to hospitals based on the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) patient satisfaction survey. This data is made publicly available on their website to be utilized by patients and insurers. Hospitals are profoundly interested in identifying patient populations that negatively contribute to overall patient satisfaction scores. Hospitals consider trauma patients "high risk" from a HCAHPS perspective, but there is no data to inform this opinion...
December 2016: American Journal of Surgery
https://www.readbyqxmd.com/read/27882837/determining-multiple-sclerosis-phenotype-from-electronic-medical-records
#15
Richard E Nelson, Jorie Butler, Joanne LaFleur, Kristin Knippenberg, Aaron W C Kamauu, Scott L DuVall
BACKGROUND: Multiple sclerosis (MS), a central nervous system disease in which nerve signals are disrupted by scarring and demyelination, is classified into phenotypes depending on the patterns of cognitive or physical impairment progression: relapsing-remitting MS (RRMS), primary-progressive MS (PPMS), secondary-progressive MS (SPMS), or progressive-relapsing MS (PRMS). The phenotype is important in managing the disease and determining appropriate treatment. The ICD-9-CM code 340.0 is uninformative about MS phenotype, which increases the difficulty of studying the effects of phenotype on disease...
December 2016: Journal of Managed Care & Specialty Pharmacy
https://www.readbyqxmd.com/read/27863971/systemic-inaccuracies-in-the-national-surgical-quality-improvement-program-database-implications-for-accuracy-and-validity-for-neurosurgery-outcomes-research
#16
John D Rolston, Seunggu J Han, Edward F Chang
The American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) provides a rich database of North American surgical procedures and their complications. Yet no external source has validated the accuracy of the information within this database. Using records from the 2006 to 2013 NSQIP database, we used two methods to identify errors: (1) mismatches between the Current Procedural Terminology (CPT) code that was used to identify the surgical procedure, and the International Classification of Diseases (ICD-9) post-operative diagnosis: i...
November 15, 2016: Journal of Clinical Neuroscience: Official Journal of the Neurosurgical Society of Australasia
https://www.readbyqxmd.com/read/27854510/variation-in-post-sepsis-readmission-patterns-a-cohort-study-of-veterans-affairs-beneficiaries
#17
Hallie C Prescott
RATIONALE: Re-hospitalization is common after sepsis, but little is known about the variation in readmission patterns across patient groups and care locations. OBJECTIVES: To examine the variation in post-sepsis readmission rates and diagnoses by patient age, nursing facility use, admission year, and hospital among U.S. Veterans Affairs (VA) beneficiaries. METHODS: Observational cohort study of VA beneficiaries who survived a sepsis hospitalization (2009-2011) at 114 VA hospitals, stratified by age (<65 versus ≥ 65 years), nursing home usage (none, chronic, or acute), year of admission (2009, 2010, 2011), and hospital...
November 17, 2016: Annals of the American Thoracic Society
https://www.readbyqxmd.com/read/27835958/identification-of-volume-overload-hospitalizations-among-hemodialysis-patients-using-administrative-claims-a-validation-study
#18
Magdalene M Assimon, Thuy Nguyen, Suzanne L Katsanos, Steven M Brunelli, Jennifer E Flythe
BACKGROUND: High rates of volume overload hospitalizations may indicate inadequate dialysis facility fluid management. Administrative claims databases are often used to study such outcomes, but these data are generated for billing purposes and may not capture clinical nuance. It is unknown if volume overload admissions can be correctly identified in administrative data and if a single claims-based definition for volume overload can be used across epidemiologic surveillance studies, observational studies of exposure-outcome associations and quality assessments...
November 11, 2016: BMC Nephrology
https://www.readbyqxmd.com/read/27835717/high-rates-of-psychiatric-comorbidity-in-narcolepsy-findings-from-the-burden-of-narcolepsy-disease-bond-study-of-9-312-patients-in-the-united-states
#19
Chad M Ruoff, Nancy L Reaven, Susan E Funk, Karen J McGaughey, Maurice M Ohayon, Christian Guilleminault, Jed Black
OBJECTIVE: To evaluate psychiatric comorbidity patterns in patients with a narcolepsy diagnosis in the United States. METHODS: Truven Health Analytics MarketScan Research Databases were accessed to identify individuals ≥ 18 years of age with ≥ 1 ICD-9 diagnosis code(s) for narcolepsy continuously insured between 2006 and 2010 and non-narcolepsy controls matched 5:1 (age, gender, region, payer). Extensive subanalyses were conducted to confirm the validity of narcolepsy definitions...
November 8, 2016: Journal of Clinical Psychiatry
https://www.readbyqxmd.com/read/27833899/development-and-validation-of-an-algorithm-to-identify-patients-with-multiple-myeloma-using-administrative-claims-data
#20
Nicole Princic, Chris Gregory, Tina Willson, Maya Mahue, Diana Felici, Winifred Werther, Gregory Lenhart, Kathleen A Foley
PURPOSE: The objective was to expand on prior work by developing and validating a new algorithm to identify multiple myeloma (MM) patients in administrative claims. METHODS: Two files were constructed to select MM cases from MarketScan Oncology Electronic Medical Records (EMR) and controls from the MarketScan Primary Care EMR during January 1, 2000-March 31, 2014. Patients were linked to MarketScan claims databases, and files were merged. Eligible cases were age ≥18, had a diagnosis and visit for MM in the Oncology EMR, and were continuously enrolled in claims for ≥90 days preceding and ≥30 days after diagnosis...
2016: Frontiers in Oncology
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