Using the Self-Controlled Tree-Temporal Scan Statistic to Assess the Safety of Live Attenuated Herpes Zoster Vaccine

2019 ◽  
Vol 188 (7) ◽  
pp. 1383-1388 ◽  
Author(s):  
W Katherine Yih ◽  
Martin Kulldorff ◽  
Inna Dashevsky ◽  
Judith C Maro
Keyword(s):  
Older Adults ◽  
Herpes Zoster ◽  
Adverse Events ◽  
International Classification Of Diseases ◽  
The Self ◽  
Scan Statistic ◽  
Diagnosis Codes ◽  
Classification Of Diseases ◽  
Safety Studies ◽  
Temporal Scan Statistic

Abstract The self-controlled tree-temporal scan statistic allows detection of potential vaccine- or drug-associated adverse events without prespecifying the specific events or postexposure risk intervals of concern. It thus opens a promising new avenue for safety studies. The method has been successfully used to evaluate the safety of 2 vaccines for adolescents and young adults, but its suitability to study vaccines for older adults had not been established. The present study applied the method to assess the safety of live attenuated herpes zoster vaccination during 2011–2017 in US adults aged ≥60 years, using claims data from Truven Health MarketScan Research Databases. Counts of International Classification of Diseases diagnosis codes recorded in emergency department or hospital settings were scanned for any statistically unusual clustering within a hierarchical tree structure of diagnoses and within 42 days after vaccination. Among 1.24 million vaccinations, 4 clusters were found: cellulitis on days 1–3, nonspecific erythematous condition on days 2–4, “other complications . . .” on days 1–3, and nonspecific allergy on days 1–6. These results are consistent with local injection-site reactions and other known, generally mild, vaccine-associated adverse events and a favorable safety profile. This method might be useful for assessing the safety of other vaccines for older adults.

scholarly journals Challenges and remediation for Patient Safety Indicators in the transition to ICD-10-CM

2014 ◽  
Vol 22 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Andrew D Boyd ◽  
Young Min Yang ◽  
Jianrong Li ◽  
Colleen Kenost ◽  
Mike D Burton ◽  
...  
Keyword(s):  
Patient Safety ◽  
Adverse Events ◽  
International Classification Of Diseases ◽  
Healthcare Research ◽  
Coding System ◽  
Patient Safety Indicators ◽  
Safety Reporting ◽  
Diagnosis Codes ◽  
Classification Of Diseases ◽  
Icd 10

Abstract Reporting of hospital adverse events relies on Patient Safety Indicators (PSIs) using International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) codes. The US transition to ICD-10-CM in 2015 could result in erroneous comparisons of PSIs. Using the General Equivalent Mappings (GEMs), we compared the accuracy of ICD-9-CM coded PSIs against recommended ICD-10-CM codes from the Centers for Medicaid/Medicare Services (CMS). We further predict their impact in a cohort of 38 644 patients (1 446 581 visits and 399 hospitals). We compared the predicted results to the published PSI related ICD-10-CM diagnosis codes. We provide the first report of substantial hospital safety reporting errors with five direct comparisons from the 23 types of PSIs (transfusion and anesthesia related PSIs). One PSI was excluded from the comparison between code sets due to reorganization, while 15 additional PSIs were inaccurate to a lesser degree due to the complexity of the coding translation. The ICD-10-CM translations proposed by CMS pose impending risks for (1) comparing safety incidents, (2) inflating the number of PSIs, and (3) increasing the variability of calculations attributable to the abundance of coding system translations. Ethical organizations addressing ‘data-, process-, and system-focused’ improvements could be penalized using the new ICD-10-CM Agency for Healthcare Research and Quality PSIs because of apparent increases in PSIs bearing the same PSI identifier and label, yet calculated differently. Here we investigate which PSIs would reliably transition between ICD-9-CM and ICD-10-CM, and those at risk of under-reporting and over-reporting adverse events while the frequency of these adverse events remain unchanged.

scholarly journals The Self- and Informant-Personality Inventories for ICD-11: Agreement, Structure, and Relations with Health, Social, and Satisfaction Variables in Older Adults

2020 ◽  
Author(s):  
Joshua R. Oltmanns ◽  
Thomas A. Widiger
Keyword(s):  
Older Adults ◽  
Satisfaction With Life ◽  
International Classification Of Diseases ◽  
Criterion Validity ◽  
Personality Inventory ◽  
The Self ◽  
Self Report ◽  
Physical And Mental Health ◽  
Life Functioning ◽  
Classification Of Diseases

The International Classification of Diseases—11th Edition (ICD-11) includes a dimensional model of personality disorder and the Personality Inventory for ICD-11 (PiCD) is the only self-report measure to date that has been developed specifically for its assessment. The present study examines the validity of an informant-report version of the PiCD, the Informant-Personality Inventory for ICD-11 (the IPiC) and also is the first study to test the self–other agreement on the PiCD and to test the criterion validity of the PiCD and the IPiC for several popular and well-validated measures of life functioning including satisfaction with life, depressive symptoms, physical and mental health, insomnia symptoms, and cognitive decline. The present study is also the first to examine the PiCD and IPiC in a sample of older adults in the community. Results suggest that the PiCD and the IPiC show moderate self–other agreement, are associated significantly with several important life functioning areas, and have structural validity even at the item level. Further replication and validation is necessary for these instruments, but the PiCD and the IPiC have shown strong validation evidence to date, now including evidence of consensual and criterion validity.

scholarly journals Association Between Diagnosis Code Expansion and Changes in 30‐Day Risk‐Adjusted Outcomes for Cardiovascular Diseases

2021 ◽  
Author(s):  
Lauren Gilstrap ◽  
Rishi K. Wadhera ◽  
Andrea M. Austin ◽  
Stephen Kearing ◽  
Karen E. Joynt Maddox ◽  
...  
Keyword(s):  
Logistic Regression ◽  
International Classification Of Diseases ◽  
Fee For Service ◽  
Readmission Rates ◽  
Difference In Differences ◽  
Diagnosis Codes ◽  
Classification Of Diseases ◽  
Changes In Risk ◽  
The Impact

BACKGROUND In January 2011, Centers for Medicare and Medicaid Services expanded the number of inpatient diagnosis codes from 9 to 25, which may influence comorbidity counts and risk‐adjusted outcome rates for studies spanning January 2011. This study examines the association between (1) limiting versus not limiting diagnosis codes after 2011, (2) using inpatient‐only versus inpatient and outpatient data, and (3) using logistic regression versus the Centers for Medicare and Medicaid Services risk‐standardized methodology and changes in risk‐adjusted outcomes. METHODS AND RESULTS Using 100% Medicare inpatient and outpatient files between January 2009 and December 2013, we created 2 cohorts of fee‐for‐service beneficiaries aged ≥65 years. The acute myocardial infarction cohort and the heart failure cohort had 578 728 and 1 595 069 hospitalizations, respectively. We calculate comorbidities using (1) inpatient‐only limited diagnoses, (2) inpatient‐only unlimited diagnoses, (3) inpatient and outpatient limited diagnoses, and (4) inpatient and outpatient unlimited diagnoses. Across both cohorts, International Classification of Diseases, Ninth Revision ( ICD‐9 ) diagnoses and hierarchical condition categories increased after 2011. When outpatient data were included, there were no significant differences in risk‐adjusted readmission rates using logistic regression or the Centers for Medicare and Medicaid Services risk standardization. A difference‐in‐differences analysis of risk‐adjusted readmission trends before versus after 2011 found that no significant differences between limited and unlimited models for either cohort. CONCLUSIONS For studies that span 2011, researchers should consider limiting the number of inpatient diagnosis codes to 9 and/or including outpatient data to minimize the impact of the code expansion on comorbidity counts. However, the 2011 code expansion does not appear to significantly affect risk‐adjusted readmission rate estimates using either logistic or risk‐standardization models or when using or excluding outpatient data.

scholarly journals Use of Diagnosis Codes and/or Wound Culture Results for Surveillance of Surgical Site Infection after Mastectomy and Breast Reconstruction

2010 ◽  
Vol 31 (05) ◽  
pp. 544-547 ◽  
Author(s):  
Margaret A. Olsen ◽  
Victoria J. Fraser
Keyword(s):  
Surgical Site Infection ◽  
Claims Data ◽  
Breast Surgery ◽  
International Classification Of Diseases ◽  
Site Infection ◽  
Wound Culture ◽  
Diagnosis Codes ◽  
Classification Of Diseases ◽  
Major Breast

We compared surveillance of surgical site infection (SSI) after major breast surgery by using a combination of International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes and microbiology-based surveillance. The sensitivity of the coding algorithm for identification of SSI was 87.5%, and the sensitivity of wound culture for identification of SSI was 78.1%. Our results suggest that SSI surveillance can be reliably performed using claims data.

The prevalence of localised scleroderma in childhood assessed in the administrative claims data from the United States

2018 ◽  
Vol 4 (1) ◽  
pp. 77-78
Author(s):  
Timothy Beukelman ◽  
Fenglong Xie ◽  
Ivan Foeldvari
Keyword(s):  
United States ◽  
Systemic Sclerosis ◽  
Claims Data ◽  
International Classification Of Diseases ◽  
The United States ◽  
Administrative Claims ◽  
Administrative Claims Data ◽  
Diagnosis Codes ◽  
Classification Of Diseases

Juvenile localised scleroderma is believed an orphan autoimmune disease, which occurs 10 times more often than systemic sclerosis in childhood and is believed to have a prevalence of 1 per 100,000 children. To gain data regarding the prevalence of juvenile localised scleroderma, we assessed the administrative claims data in the United States using the International Classification of Diseases, Ninth Revision diagnosis codes. We found an estimated prevalence in each year ranging from 3.2 to 3.6 per 10,000 children. This estimate is significantly higher as found in previous studies.

scholarly journals Validating Use of Electronic Health Data to Identify Patients with Urinary Tract Infections in Outpatient Settings

Antibiotics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 536
Author(s):  
George Germanos ◽  
Patrick Light ◽  
Roger Zoorob ◽  
Jason Salemi ◽  
Fareed Khan ◽  
...  
Keyword(s):  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Chart Review ◽  
International Classification Of Diseases ◽  
Primary Care Settings ◽  
Diagnosis Codes ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Tract Infections ◽  
Outpatient Settings

Objective: To validate the use of electronic algorithms based on International Classification of Diseases (ICD)-10 codes to identify outpatient visits for urinary tract infections (UTI), one of the most common reasons for antibiotic prescriptions. Methods: ICD-10 symptom codes (e.g., dysuria) alone or in addition to UTI diagnosis codes plus prescription of a UTI-relevant antibiotic were used to identify outpatient UTI visits. Chart review (gold standard) was performed by two reviewers to confirm diagnosis of UTI. The positive predictive value (PPV) that the visit was for UTI (based on chart review) was calculated for three different ICD-10 code algorithms using (1) symptoms only, (2) diagnosis only, or (3) both. Results: Of the 1087 visits analyzed, symptom codes only had the lowest PPV for UTI (PPV = 55.4%; 95%CI: 49.3–61.5%). Diagnosis codes alone resulted in a PPV of 85% (PPV = 84.9%; 95%CI: 81.1–88.2%). The highest PPV was obtained by using both symptom and diagnosis codes together to identify visits with UTI (PPV = 96.3%; 95%CI: 94.5–97.9%). Conclusions: ICD-10 diagnosis codes with or without symptom codes reliably identify UTI visits; symptom codes alone are not reliable. ICD-10 based algorithms are a valid method to study UTIs in primary care settings.

Is Splenectomy after Trauma an Endangered Species?

2008 ◽  
Vol 74 (5) ◽  
pp. 410-412
Author(s):  
Brian G. Harbrecht ◽  
Glen A. Franklin ◽  
Frank B. Miller ◽  
J. David Richardson
Keyword(s):  
Nonoperative Management ◽  
Cancer Staging ◽  
International Classification Of Diseases ◽  
Neoplastic Disease ◽  
Splenic Trauma ◽  
Diagnosis Codes ◽  
Classification Of Diseases ◽  
Trauma Injury ◽  
Laparoscopic Techniques ◽  
Medical Indications

Nonoperative management of splenic trauma is now the most common treatment modality for splenic injuries and splenectomy has almost disappeared in some trauma centers. Splenectomy for cancer staging is infrequently performed suggesting that the indications for splenectomy continue to evolve. We evaluated a state database to assess a communitywide experience with splenic surgery. International Classification of Diseases, 9th Revision, Clinical Modification diagnosis codes were used to determine the indication for splenic surgery. Indications for splenic surgery were listed as trauma (injury codes), medical (hematological diseases, neoplasms, or procedures in which the spleen might be removed contiguously like distal pancreatectomy), or incidental (noncontiguous procedures). Splenectomies for medical indications (n = 607, 43%) were more common than splenectomies for trauma (n = 518, 37%) or incidental splenectomies (n = 276, 20%). Splenectomy for medical reasons was associated with hematologic disease in 56 per cent, neoplastic disease in 34 per cent, and other diagnoses in 10 per cent of cases. Incidental splenectomies were most commonly associated with operations on the esophagus/stomach (32%) and colon (30%). Mortality rate and length of stay were greatest for incidental (14.4 ± 0.9 days, 10.9% mortality) compared with trauma (11.0 ± 0.5 days, 7.7% mortality) or medical (9.7 ± 0.4 days, 4.8% mortality) splenectomies (all P < 0.05 versus incidental). Our results suggest that in the era of nonoperative management of splenic injuries, medical indications now represent the most common reason for splenectomy. As laparoscopic techniques for elective splenectomy become more common, the changing indication for splenectomy has important ramifications for surgical education and training.

Assessing the prevalence of juvenile systemic sclerosis in childhood using administrative claims data from the United States

2018 ◽  
Vol 3 (2) ◽  
pp. 189-190 ◽  
Author(s):  
Timothy Beukelman ◽  
Fenglong Xie ◽  
Ivan Foeldvari
Keyword(s):  
United States ◽  
Systemic Sclerosis ◽  
Claims Data ◽  
International Classification Of Diseases ◽  
The United States ◽  
Administrative Claims ◽  
Administrative Claims Data ◽  
Diagnosis Codes ◽  
Classification Of Diseases ◽  
Juvenile Systemic Sclerosis

Juvenile systemic sclerosis is a very rare orphan disease. To date, only one publication has estimated the prevalence of juvenile systemic sclerosis using a survey of specialized physicians. We conducted a study of administrative claims data in the United States using the International Classification of Diseases, Ninth Revision diagnosis codes and found a prevalence of approximately 3 per 1,000,000 children. This estimate will inform the planning of prospective studies.

scholarly journals Readmissions After Complex Cancer Surgery: Analysis of the Nationwide Readmissions Database

2018 ◽  
Vol 14 (6) ◽  
pp. e335-e345 ◽  
Author(s):  
Syed Nabeel Zafar ◽  
Adil A. Shah ◽  
Christine Nembhard ◽  
Lori L. Wilson ◽  
Elizabeth B. Habermann ◽  
...  
Keyword(s):  
Private Insurance ◽  
Lung Resection ◽  
Hospital Readmissions ◽  
International Classification Of Diseases ◽  
Primary Diagnosis ◽  
Cancer Surgery ◽  
Prolonged Length ◽  
Factors Associated ◽  
Diagnosis Codes ◽  
Classification Of Diseases

Purpose: Hospital readmissions after surgery are a focus of quality improvement efforts. Although some reflect appropriate care, others are potentially preventable readmissions (PPRs). We aim to describe the burden, timing, and factors associated with readmissions after complex cancer surgery. Methods: The Nationwide Readmissions Database (2013) was used to select patients undergoing a complex oncologic resection, which was defined as esophagectomy/gastrectomy, hepatectomy, pancreatectomy, colorectal resection, lung resection, or cystectomy. Readmissions within 30 days from discharge were analyzed. International Classification of Diseases (9th revision) primary diagnosis codes were reviewed to identify PPRs. Multivariable logistic regression analyses identified demographic, clinical, and hospital factors associated with readmissions. Results: Of the 59,493 eligible patients, 14% experienced a 30-day readmission, and 82% of these were deemed PPRs. Half of the readmissions occurred within the first 8 days of discharge. Infections (26%), GI complications (17%), and respiratory conditions (10%) accounted for most readmissions. Factors independently associated with an increased likelihood of readmission included Medicaid versus private insurance (odds ratio [OR], 1.32; 95% CI, 1.17 to 1.48), higher comorbidity score (OR, 1.5; 95% CI, 1.33 to 1.63), discharge to a facility (OR, 1.39; 95% CI, 1.29 to 1.51), prolonged length of stay (OR, 1.42; 95% CI, 1.32 to 1.52), and occurrence of a major in-hospital complication (OR, 1.24; 95% CI, 1.16 to 1.34). Conclusion: One in seven patients undergoing complex cancer surgery suffered a readmission within 30 days. We identified common causes of these and identified patients at high risk for such an event. These data can be used by physicians, administrators, and policymakers to develop strategies to decrease readmissions.

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