scholarly journals Validation of Emergency Department and Outpatient Data Using ILI syndrome classifiers

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Jenna Iberg Johnson ◽  
Komal Brown
Keyword(s):  
Public Health ◽  
Emergency Department ◽  
New Orleans ◽  
Information Exchange ◽  
Syndromic Surveillance ◽  
Health Information Exchange ◽  
International Classification Of Diseases ◽  
Outpatient Clinics ◽  
Classification Of Diseases

The goal of this analysis is to compare the results of influenza-like-illness (ILI) text and International Classification of Diseases (ICD) code classifiers applied to the Louisiana Office of Public Health (OPH) syndromic surveillance data reported by New Orleans area emergency departments and the Greater New Orleans Health Information Exchange (GNOHIE) data reported by New Orleans area outpatient clinics. This study adds to the evidence supporting the emerging use of outpatient data for syndromic surveillance.

The Swiss Prison Study (SWIPS): Protocol for Establishing a Public Health Registry of Prisoners in Switzerland (Preprint)

2020 ◽  
Author(s):  
Thomas Gaisl ◽  
Naser Musli ◽  
Patrick Baumgartner ◽  
Marc Meier ◽  
Silvana K Rampini ◽  
...  
Keyword(s):  
Public Health ◽  
Medical History ◽  
Large Scale ◽  
International Classification Of Diseases ◽  
Disease Prevalence ◽  
Vulnerable Population ◽  
International Classification ◽  
Classification Of Diseases ◽  
Health Registry

BACKGROUND The health aspects, disease frequencies, and specific health interests of prisoners and refugees are poorly understood. Importantly, access to the health care system is limited for this vulnerable population. There has been no systematic investigation to understand the health issues of inmates in Switzerland. Furthermore, little is known on how recent migration flows in Europe may have affected the health conditions of inmates. OBJECTIVE The Swiss Prison Study (SWIPS) is a large-scale observational study with the aim of establishing a public health registry in northern-central Switzerland. The primary objective is to establish a central database to assess disease prevalence (ie, International Classification of Diseases-10 codes [German modification]) among prisoners. The secondary objectives include the following: (1) to compare the 2015 versus 2020 disease prevalence among inmates against a representative sample from the local resident population, (2) to assess longitudinal changes in disease prevalence from 2015 to 2020 by using cross-sectional medical records from all inmates at the Police Prison Zurich, Switzerland, and (3) to identify unrecognized health problems to prepare successful public health strategies. METHODS Demographic and health-related data such as age, sex, country of origin, duration of imprisonment, medication (including the drug name, brand, dosage, and release), and medical history (including the International Classification of Diseases-10 codes [German modification] for all diagnoses and external results that are part of the medical history in the prison) have been deposited in a central register over a span of 5 years (January 2015 to August 2020). The final cohort is expected to comprise approximately 50,000 to 60,000 prisoners from the Police Prison Zurich, Switzerland. RESULTS This study was approved on August 5, 2019 by the ethical committee of the Canton of Zurich with the registration code KEK-ZH No. 2019-01055 and funded in August 2020 by the “Walter and Gertrud Siegenthaler” foundation and the “Theodor and Ida Herzog-Egli” foundation. This study is registered with the International Standard Randomized Controlled Trial Number registry. Data collection started in August 2019 and results are expected to be published in 2021. Findings will be disseminated through scientific papers as well as presentations and public events. CONCLUSIONS This study will construct a valuable database of information regarding the health of inmates and refugees in Swiss prisons and will act as groundwork for future interventions in this vulnerable population. CLINICALTRIAL ISRCTN registry ISRCTN11714665; http://www.isrctn.com/ISRCTN11714665 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/23973

scholarly journals Validation of ICD-10-CM codes for injuries complicating pregnancy, childbirth and the puerperium: a medical record review

2021 ◽  
Vol 27 (Suppl 1) ◽  
pp. i9-i12
Author(s):  
Anna Hansen ◽  
Dana Quesinberry ◽  
Peter Akpunonu ◽  
Julia Martin ◽  
Svetla Slavova
Keyword(s):  
Emergency Department ◽  
Medical Record ◽  
International Classification Of Diseases ◽  
Medical Record Review ◽  
Full Sample ◽  
Emergency Department Data ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Record Review

IntroductionThe purpose of this study was to estimate the positive predictive value (PPV) of International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes for injury, poisoning, physical or sexual assault complicating pregnancy, childbirth and the puerperium (PCP) to capture injury encounters within both hospital and emergency department claims data.MethodsA medical record review was conducted on a sample (n=157) of inpatient and emergency department claims from one Kentucky healthcare system from 2015 to 2017, with any diagnosis in the ICD-10-CM range O9A.2-O9A.4. Study clinicians reviewed medical records for the sampled cases and used an abstraction form to collect information on documented presence of injury and PCP complications. The study estimated the PPVs and the 95% CIs of O9A.2-O9A.4 codes for (1) capturing injuries and (2) capturing injuries complicating PCP.ResultsThe estimated PPV for the codes O9A.2-O9A.4 to identify injury in the full sample was 79.6% (95% CI 73.3% to 85.9%) and the PPV for capturing injuries complicating PCP was 72.0% (95% CI 65.0% to 79.0%). The estimated PPV for an inpatient principal diagnosis O9A.2-O9A.4 to capture injuries was 90.7% (95% CI 82.0% to 99.4%) and the PPV for capturing injuries complicating PCP was 88.4% (95% CI 78.4% to 98.4%). The estimated PPV for any mention of O9A.2-O9A.4 in emergency department data to capture injuries was 95.2% (95% CI 90.6% to 99.9%) and the PPV for capturing injuries complicating PCP was 81.0% (95% CI 72.4% to 89.5%).DiscussionThe O9A.2-O9A.4 codes captured high percentage true injury cases among pregnant and puerperal women.

scholarly journals Adverse drug events identified in hospitalized patients in Brazil by International Classification of Diseases (ICD-10) code listings

2018 ◽  
Vol 34 (12) ◽  
Author(s):  
Ana Cristina Martins ◽  
Fabíola Giordani ◽  
Lusiele Guaraldo ◽  
Gianni Tognoni ◽  
Suely Rozenfeld
Keyword(s):  
Public Health ◽  
Adverse Drug Events ◽  
International Classification Of Diseases ◽  
Hospitalized Patients ◽  
International Classification ◽  
Administrative Databases ◽  
National Database ◽  
Classification Of Diseases ◽  
Icd 10

Studies of adverse drug events (ADEs) are important in order not to jeopardize the positive impact of pharmacotherapy. These events have substantial impact on the population morbidity profiles, and increasing health system operating costs. Administrative databases are an important source of information for public health purposes and for identifying ADEs. In order to contribute to learning about ADE in hospitalized patients, this study examined the potential of applying ICD-10 (10th revision of the International Classification of Diseases) codes to a national database of the public health care system (SIH-SUS). The study comprised retrospective assessment of ADEs in the SIH-SUS administrative database, from 2008 to 2012. For this, a list of ICD-10 codes relating to ADEs was built. This list was built up by examining lists drawn up by other authors identified by bibliographic search in the MEDLINE and LILACS and consultations with experts. In Brazil, 55,604,537 hospital admissions were recorded in the SIH-SUS, between 2008 and 2012, of which 273,440 (0.49%) were related to at least one ADE. The proportions and rates seem to hold constant over the study period. Fourteen out of 20 most frequent ADEs were identified in codes relating to mental disorders. Intoxications figure as the second most frequently recorded group of ADEs in the SIH-SUS, comprising 76,866 hospitalizations. Monitoring of ADEs in administrative databases using ICD-10 codes is feasible, even in countries with information systems under construction, and can be an innovative tool to complement drug surveillance strategies in place in Brazil, as well as in others countries.

Impact of a telemedicine eICU cart on sepsis management in a community hospital emergency department

2017 ◽  
Vol 24 (3) ◽  
pp. 202-208 ◽  
Author(s):  
Shana M Machado ◽  
Erika H Wilson ◽  
John O Elliott ◽  
Kim Jordan
Keyword(s):  
Emergency Department ◽  
Hospital Costs ◽  
International Classification Of Diseases ◽  
Surviving Sepsis Campaign ◽  
Sepsis Management ◽  
Institutional Review ◽  
Classification Of Diseases ◽  
Ninth Edition ◽  
Complications And Mortality

Introduction Intensivist involvement for patients with sepsis is associated with decreased complications and mortality, and lower hospital resource utilization, but few studies have evaluated outcomes for patients exposed to electronic intensive care unit (eICU) telemedicine sepsis management in the emergency department (ED). In this study, we assess whether eICU cart exposure in the ED improved compliance with components of the 2010 Surviving Sepsis Campaign bundles, length of stay (LOS), disposition and hospital costs. Methods An institutional review board-approved, retrospective cohort study was completed on patients with confirmed sepsis who presented to our ED from July 2010 through February 2013. Results Of 711 patient ED encounters, 314 cases met criteria for analysis (95 exposed and 219 non-exposed). Patient cohorts had similar demographics and comorbid International Classification of Diseases, Ninth Edition (ICD-9) diagnoses. The exposed cohort received antibiotics more quickly (122.3 minutes ±83.3 versus 163.4 minutes ±204.4, p = 0.043) and were more likely to have lactic acid levels drawn within six hours (98.9% vs. 90%, p = 0.019). The exposed cohort had a shortened ED LOS (in days) 0.08 ± 0.28 versus 0.16 ± 0.37, p = 0.036. Hospital LOS, disposition and death were similar in both cohorts. Total hospital costs for the exposed cohort were lower and less variable (US$19,713 ± 16,550 vs. US$24,364 ± 25068), but this was not significant ( p = 0.274). Discussion Our findings suggest that in individuals with confirmed sepsis, ED exposure to a telemedicine-based eICU cart impacted adherence to aspects of the Surviving Sepsis Campaign recommended bundle, but did not impact overall survival and medical costs.

scholarly journals The Swiss Prison Study (SWIPS): Protocol for Establishing a Public Health Registry of Prisoners in Switzerland

10.2196/23973 ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. e23973
Author(s):  
Thomas Gaisl ◽  
Naser Musli ◽  
Patrick Baumgartner ◽  
Marc Meier ◽  
Silvana K Rampini ◽  
...  
Keyword(s):  
Public Health ◽  
Medical History ◽  
Large Scale ◽  
International Classification Of Diseases ◽  
Disease Prevalence ◽  
Vulnerable Population ◽  
International Classification ◽  
Classification Of Diseases ◽  
Health Registry

Background The health aspects, disease frequencies, and specific health interests of prisoners and refugees are poorly understood. Importantly, access to the health care system is limited for this vulnerable population. There has been no systematic investigation to understand the health issues of inmates in Switzerland. Furthermore, little is known on how recent migration flows in Europe may have affected the health conditions of inmates. Objective The Swiss Prison Study (SWIPS) is a large-scale observational study with the aim of establishing a public health registry in northern-central Switzerland. The primary objective is to establish a central database to assess disease prevalence (ie, International Classification of Diseases-10 codes [German modification]) among prisoners. The secondary objectives include the following: (1) to compare the 2015 versus 2020 disease prevalence among inmates against a representative sample from the local resident population, (2) to assess longitudinal changes in disease prevalence from 2015 to 2020 by using cross-sectional medical records from all inmates at the Police Prison Zurich, Switzerland, and (3) to identify unrecognized health problems to prepare successful public health strategies. Methods Demographic and health-related data such as age, sex, country of origin, duration of imprisonment, medication (including the drug name, brand, dosage, and release), and medical history (including the International Classification of Diseases-10 codes [German modification] for all diagnoses and external results that are part of the medical history in the prison) have been deposited in a central register over a span of 5 years (January 2015 to August 2020). The final cohort is expected to comprise approximately 50,000 to 60,000 prisoners from the Police Prison Zurich, Switzerland. Results This study was approved on August 5, 2019 by the ethical committee of the Canton of Zurich with the registration code KEK-ZH No. 2019-01055 and funded in August 2020 by the “Walter and Gertrud Siegenthaler” foundation and the “Theodor and Ida Herzog-Egli” foundation. This study is registered with the International Standard Randomized Controlled Trial Number registry. Data collection started in August 2019 and results are expected to be published in 2021. Findings will be disseminated through scientific papers as well as presentations and public events. Conclusions This study will construct a valuable database of information regarding the health of inmates and refugees in Swiss prisons and will act as groundwork for future interventions in this vulnerable population. Trial Registration ISRCTN registry ISRCTN11714665; http://www.isrctn.com/ISRCTN11714665 International Registered Report Identifier (IRRID) DERR1-10.2196/23973

Validity of routinely collected data in identifying hip fractures at a major tertiary hospital in Australia

2017 ◽  
Vol 47 (1) ◽  
pp. 38-45 ◽  
Author(s):  
Lieu Thi Thuy Trinh ◽  
Helen Achat ◽  
Sze Ming Loh ◽  
Robert Pascoe ◽  
Hassan Assareh ◽  
...  
Keyword(s):  
Hip Fractures ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Tertiary Hospital ◽  
Care Hospital ◽  
Factors Associated ◽  
Routinely Collected Data ◽  
Classification Of Diseases ◽  
International Statistical Classification

Objectives: To examine the validity of routinely collected data in identifying hip fractures (HFs) and to identify factors associated with incorrect coding. Method: In a prospective cohort study between January 2014 and June 2016, HFs were identified using physician diagnosis and diagnostic imaging and were recorded in a Registry. Records of HFs in the health information exchange (HIE) were identified using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification/Australian Classification of Health Interventions/Australian Coding Standards codes. New HFs were estimated by episode of care, hospital admission and with an algorithm. Data from the HIE and the Registry were compared. Results: The number of HFs as the principal diagnosis (PD) recorded by episode (864) was higher than by admission (743), by algorithm (711) and in the Registry (638). The sensitivity was high for all methods (90–93%) but the positive predictive value was lower for episode (68%) than for admission (80%) or algorithm (81%). The number of HFs with surgery recorded in the PD by episode (639), algorithm (630) and in the Registry (623) was similar but higher than by admission (589). The episode and algorithm methods also had higher sensitivity (91–92%) than the admission method (84%) for HFs with surgery. Factors associated with coding errors included subsequent HF, long hospital stay, intracapsular fracture, younger age, male, HF without surgery and death in hospital. Conclusions: When it is not practical to use the algorithm for regular monitoring of HFs, using PD by admission to estimate total HFs and PD by episode in combination with a procedure code to estimate HFs with surgery can produce robust estimations.

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