scholarly journals Which Dermatological Conditions Present to an Emergency Department in Australia?

2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Julia Lai-Kwon ◽  
Tracey J. Weiland ◽  
Alvin H. Chong ◽  
George A. Jelinek

Background/Objectives. There is minimal data available on the types of dermatological conditions which present to tertiary emergency departments (ED). We analysed demographic and clinical features of dermatological presentations to an Australian adult ED.Methods. The St. Vincent’s Hospital Melbourne (SVHM) ED database was searched for dermatological presentations between 1 January 2009 and 31 December 2011 by keywords and ICD-10 diagnosis codes. The lists were merged, and the ICD-10 codes were grouped into 55 categories for analysis. Demographic and clinical data for these presentations were then analysed.Results. 123 345 people presented to SVHM ED during the 3-year period. 4817 (3.9%) presented for a primarily dermatological complaint. The most common conditions by ICD-10 diagnosis code were cellulitis (n=1741, 36.1%), allergy with skin involvement (n=939, 19.5%), boils/furuncles/pilonidal sinuses (n=526, 11.1%), eczema/dermatitis (n=274, 5.7%), and varicella zoster infection (n=161, 3.3%).Conclusion. The burden of dermatological disease presenting to ED is small but not insignificant. This information may assist in designing dermatological curricula for hospital clinicians and specialty training organisations as well as informing the allocation of dermatological resources to ED.

2020 ◽  
Vol 7 (10) ◽  
Author(s):  
Laura R Marks ◽  
Nathanial S Nolan ◽  
Linda Jiang ◽  
Dharushana Muthulingam ◽  
Stephen Y Liang ◽  
...  

Abstract Background No International Classification of Diseases, 10th revision (ICD-10), diagnosis code exists for injection drug use–associated infective endocarditis (IDU-IE). Instead, public health researchers regularly use combinations of nonspecific ICD-10 codes to identify IDU-IE; however, the accuracy of these codes has not been evaluated. Methods We compared commonly used ICD-10 diagnosis codes for IDU-IE with a prospectively collected patient cohort diagnosed with IDU-IE at Barnes-Jewish Hospital to determine the accuracy of ICD-10 diagnosis codes used in IDU-IE research. Results ICD-10 diagnosis codes historically used to identify IDU-IE were inaccurate, missing 36.0% and misclassifying 56.4% of patients prospectively identified in this cohort. Use of these nonspecific ICD-10 diagnosis codes resulted in substantial biases against the benefit of medications for opioid use disorder (MOUD) with relation to both AMA discharge and all-cause mortality. Specifically, when data from all patients with ICD-10 code combinations suggestive of IDU-IE were used, MOUD was associated with an increased risk of AMA discharge (relative risk [RR], 1.12; 95% CI, 0.48–2.64). In contrast, when only patients confirmed by chart review as having IDU-IE were analyzed, MOUD was protective (RR, 0.49; 95% CI, 0.19–1.22). Use of MOUD was associated with a protective effect in time to all-cause mortality in Kaplan-Meier analysis only when confirmed IDU-IE cases were analyzed (P = .007). Conclusions Studies using nonspecific ICD-10 diagnosis codes for IDU-IE should be interpreted with caution. In the setting of an ongoing overdose crisis and a syndemic of infectious complications, a specific ICD-10 diagnosis code for IDU-IE is urgently needed.


2021 ◽  
Vol 22 (4) ◽  
pp. 842-850
Author(s):  
Edana Mann ◽  
Daniel Swedien ◽  
Jonathan Hansen ◽  
Susan Peterson ◽  
Mustapha Saheed ◽  
...  

Introduction: Nationally, there has been more than a 40% decrease in Emergency Department (ED) patient volume during the coronavirus disease 2019 (Covid-19) crisis, with reports of decreases in presentations of time-sensitive acute illnesses. We analyzed ED clinical presentations in a Maryland/District of Columbia regional hospital system while health mitigation measures were instituted. Methods: We conducted a retrospective observational cohort study of all adult ED patients presenting to five Johns Hopkins Health System (JHHS) hospitals comparing visits from March 16 through May 15, in 2019 and 2020. We analyzed de-identified demographic information, clinical conditions, and ICD-10 diagnosis codes for year-over-year comparisons. Results: There were 36.7% fewer JHHS ED visits in 2020 compared to 2019 (43,088 vs. 27,293, P<.001). Patients 75+ had the greatest decline in visits (-44.00%, P<.001). Both genders had significant decreases in volume (-41.9%, P<.001 females vs -30.6%, P<.001 males). Influenza like illness (ILI) symptoms increased year-over-year including fever (640 to 1253, 95.8%, P<.001) and shortness of breath (2504 to 2726, 8.9%, P=.002). ICD-10 diagnoses for a number of time-sensitive illnesses decreased including deep vein thrombosis (101 to 39, -61%, P<.001), acute myocardial infarction (157 to 105, -33%, P=.002), gastrointestinal bleeding (290 to 179, -38.3%, P<.001), and strokes (284 to 234, -17.6%, P=0.03). Conclusion: ED visits declined significantly among JHHS hospitals despite offsetting increases in ILI complaints. Decreases in presentations of time-sensitive illnesses were of particular concern. Efforts should be taken to inform patients that EDs are safe, otherwise preventable morbidity and mortality will remain a problem.


BMJ ◽  
2019 ◽  
pp. k5092 ◽  
Author(s):  
Kao-Ping Chua ◽  
Michael A Fischer ◽  
Jeffrey A Linder

Abstract Objective To assess the appropriateness of outpatient antibiotic prescribing for privately insured children and non-elderly adults in the US using a comprehensive classification scheme of diagnosis codes in ICD-10-CM (international classification of diseases-clinical modification, 10th revision), which replaced ICD-9-CM in the US on 1 October 2015. Design Cross sectional study. Setting MarketScan Commercial Claims and Encounters database, 2016. Participants 19.2 million enrollees aged 0-64 years. Main outcome measures A classification scheme was developed that determined whether each of the 91 738 ICD-10-CM diagnosis codes “always,” “sometimes,” or “never” justified antibiotics. For each antibiotic prescription fill, this scheme was used to classify all diagnosis codes in claims during a look back period that began three days before antibiotic prescription fills and ended on the day fills occurred. The main outcome was the proportion of fills in each of four mutually exclusive categories: “appropriate” (associated with at least one “always” code during the look back period, “potentially appropriate” (associated with at least one “sometimes” but no “always” codes), “inappropriate” (associated only with “never” codes), and “not associated with a recent diagnosis code” (no codes during the look back period). Results The cohort (n=19 203 264) comprised 14 571 944 (75.9%) adult and 9 935 791 (51.7%) female enrollees. Among 15 455 834 outpatient antibiotic prescription fills by the cohort, the most common antibiotics were azithromycin (2 931 242, 19.0%), amoxicillin (2 818 939, 18.2%), and amoxicillin-clavulanate (1 784 921, 11.6%). Among these 15 455 834 fills, 1 973 873 (12.8%) were appropriate, 5 487 003 (35.5%) were potentially appropriate, 3 592 183 (23.2%) were inappropriate, and 4 402 775 (28.5%) were not associated with a recent diagnosis code. Among the 3 592 183 inappropriate fills, 2 541 125 (70.7%) were written in office based settings, 222 804 (6.2%) in urgent care centers, and 168 396 (4.7%) in emergency departments. In 2016, 2 697 918 (14.1%) of the 19 203 264 enrollees filled at least one inappropriate antibiotic prescription, including 490 475 out of 4 631 320 children (10.6%) and 2 207 173 out of 14 571 944 adults (15.2%). Conclusions Among all outpatient antibiotic prescription fills by 19 203 264 privately insured US children and non-elderly adults in 2016, 23.2% were inappropriate, 35.5% were potentially appropriate, and 28.5% were not associated with a recent diagnosis code. Approximately 1 in 7 enrollees filled at least one inappropriate antibiotic prescription in 2016. The classification scheme could facilitate future efforts to comprehensively measure outpatient antibiotic appropriateness in the US, and it could be adapted for use in other countries that use ICD-10 codes.


2022 ◽  
Vol 2 (1) ◽  
pp. 26-31
Author(s):  
Hendra Rohman

Background: Analysis of accuracy and validity fill code diagnosis on medical record document is very important because if diagnosis code is not appropriate with ICD-10, will cause decline in quality services health center, generated data have this validation data level is low, because accuracy code very important for health center such as index process and statistical report, as basis for making outpatient morbidity report and top ten diseases reports, as well as influencing policies will be taken by primary health center management. This study aims to analyze accuracy and validity diagnosis disease code based on ICD-10 fourth quarter in 2020 Imogiri I Health Center Bantul.Methods: Descriptive qualitative approach, case study design. Subject is a doctor, nurse, head record medical and staff. Object is outpatients medical record document in Imogiri I Health Center Bantul. Total sample 99 medical record file. Obtaining data from this study through interviews and observations.Results: Number of complete accurate diagnosis codes is 60 (60,6%), incomplete accurate diagnosis codes is 26 (26.3%) and inaccurate diagnosis codes is 13 (13.1%). Inaccuracies include errors in determining code, errors in determining 4th character ICD-10 code, not adding 4th and 5th characters, not including external cause, and multiple diseases.Conclusions: Inaccuracy factors are not competence medical record staff, incomplete diagnosis writing and no training, no evaluation or coding audit has been carried out, and standard operational procedure is not socialized.


1970 ◽  
Vol 2 (2) ◽  
pp. 12
Author(s):  
Rinda Nurul Karimah ◽  
Dony Setiawan ◽  
Puput Septining Nurmalia

Accuracy analysis of replenishment diagnosis codes on the document medical records is very important because if the diagnosis code is not right or not in accordance with the ICD-10, it can cause a decline in the quality of care in hospitals as well as the influence of data, information reporting, and accuracy rates of INA-CBG's that are currently used as a method of payment for patient care. The purpose of this study was to analyze the accuracy of diagnosis codes acute gastroenteritis disease in hospitalized patients by medical record documents in the first quarter of 2015 in the Balung Hospital Jember. This research used qualitative data. Acquisition of data from this study through interviews and observations. Results obtained from the observation of medical record documents at the inpatient unit in the first quarter 2015 in Balung Hospital Jember, there are some numbers determining the accuracy of disease diagnosis codes as many as 17 medical record documents with acute gastroenteritis illness and the determination of improper diagnosis codes as many as 63 medical records document acute gastroenteritis illness. After analyzing, the cause of the problem is the accuracy of the diagnosis that affects the accuracy of writing code, beside it has never been disseminated to physicians and medical records personnel related to the management of medical records. Therefore, it is necessary to carry out activities that can improve the accuracy of disease diagnosis code and quality of human resources, among others, include doctors and medical records personnel in training and socialization related to the management of medical records. Key Words : Diagnosis codes , medical record, acute gastroenteritis


Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 969-969
Author(s):  
Menaka Pai ◽  
Faith Sealey ◽  
Rita Selby ◽  
William Geerts ◽  
Michael Schull

Abstract Introduction: With the advent of low molecular weight heparins, venous thromboembolism (VTE) management has largely shifted from the inpatient to the outpatient setting. Yet there is a paucity of data addressing the incidence of outpatient VTE and the process and cost of care related to its management. Large administrative databases are often a good source of data for population-based research. However, concerns about their accuracy necessitate that they be validated first. The National Ambulatory Care Reporting System (NACRS) is an administrative database launched by the Canadian Institutes of Health Information (CIHI) in 2001. Hospitals submit abstracted information on all emergency department (ED) visits to CIHI. If the accuracy of VTE diagnosis codes within NACRS is known, this database could be used to address the above issues on a population level. Methods: Prior to a large-scale validation of VTE codes within NACRS, we conducted a pilot study at our large, tertiary care hospital - Sunnybrook Health Sciences Centre in Toronto, Canada. Our goal was to determine the accuracy of NACRS coding for VTE. To define a cohort of patients with suspected VTE who presented to our ED between January 1 and December 31, 2005 we generated a list of all visits with a procedure code of either duplex ultrasound, contrast enhanced chest CT or VQ scan. We also generated a list of all visits with a NACRS diagnosis code of VTE (ICD-10-CA codes for phlebitis and thrombophlebitis - I80.1, I80.2, I80.3, 180.8, 180.9 and pulmonary embolism - I26.0 and I26.9). The latter list captured patients who had imaging done at an outside facility. The lists were merged and duplicate entries removed. Electronic and/or paper chart review was carried out to confirm the diagnosis of VTE for all visits, based on positive diagnostic imaging results. Discrepancies were resolved by consensus between two physicians. Results: During the study period, there were over 40,000 visits to our ED. Using the above algorithm, 1149 patient visits were generated with either a procedure code for the above radiological tests or a diagnosis code for VTE. 348 visits had imaging done for reasons other than VTE (ie. trauma or malignancy), and 17 visits had no recorded diagnostic imaging. These visits were excluded. Of the remaining 784 visits, 121 had a diagnosis code of VTE and a confirmed diagnosis of VTE on chart review (true positives). 10 visits were coded as VTE but a diagnosis of VTE could not be confirmed on chart review (false positives). 30 visits were not coded as VTE but had a confirmed diagnosis of VTE (false negatives). 623 visits were neither coded as VTE nor had a confirmed diagnosis of VTE (true negatives). The prevalence of VTE in our sample was therefore 19.3%. The sensitivity of NACRS coding was 80.1% (95% CI 72.7% to 86.0%), while the specificity was 98.4% (95% CI 97.0% to 99.2%). Conclusion: NACRS coding for VTE is highly specific, but less sensitive. This suggests NACRS may be useful for studying outpatient VTE at a population level, though a multi-site validation is required. Using a search algorithm to identify patients with suspected VTE based on procedure and diagnosis codes is feasible, given the non-specific nature of the presenting symptoms of VTE. This algorithm can be used for similar validation studies.


Author(s):  
Mingkai Peng ◽  
Cathy Eastwood ◽  
Alicia Boxill ◽  
Rachel Joy Jolley ◽  
Laura Rutherford ◽  
...  

Introduction: Administrative health data from the emergency department (ED) play important roles in understanding health needs of the public and reasons for health care resource use. International Classification of Disease (ICD) diagnostic codes have been widely used for code reasons of clinical encounters for administrative purposes in EDs. Objective: The purpose of the study is to examine the coding agreement and reliability of ICD diagnosis codes in ED through auditing the routinely collected data. Methods: We randomly sampled 1 percent of records (n=1636) between October and December from 11 emergency departments in Alberta, Canada. Auditors were employed to review the same chart and independently assign main diagnosis codes. We assessed coding agreement and reliability through comparison of codes assigned by auditors and hospital coders using the proportion of agreement and Cohen’s kappa. Error analysis was conducted to review diagnosis codes with disagreement and categorized them into six groups. Results: Overall, the agreement was 86.5% and 82.2% at 3 and 4 digits levels respectively, and reliability was 0.86 and 0.82 respectively. Variation of agreement and reliability were identified across different emergency departments. The major two categories of coding discrepancy were the use of different codes for the same condition (23.6%) and the use of codes at different levels of specificity (20.9%). Conclusions: Diagnosis codes in emergency department show high agreement and reliability. More strict coding guidelines regarding the use of unspecified codes are needed to enhance coding consistency.


2019 ◽  
Vol 2 (2) ◽  
pp. p26
Author(s):  
Endang Sri Dewi Hastuti Suryandari

Specificity and precision in writing the main diagnosis will give the accuracy of diagnosis code, and proper code will give an impact on the appropriate of the cost using INA-CBGs. Research objectives was to analyze the specificity and precision in writing the main diagnosis and the accuracy of main diagnosis code based on ICD-10, also the claims of financing in the case of Diabetes Mellitus (DM) in RSJ Dr. Radjiman Wediodiningrat Lawang, as well as analyzed their relationship. This type of research was a cross sectional correlasional. Independent variables were the specificity and precision in writing the main diagnosis and the accuracy of main diagnosis code, and the dependent variable was the claim of financing. The number of samples analyzed were 50 inpatient medical record document (MRD) of DM cases which hospitalization from January to September 2017, selected by simple random sampling. The results showed the unspecific and unprecise in writing the main diagnosis of DM disease had a risk 1.6 times greater impacting the inaccuracy the main diagnosis code of DM disease (95% CI: 1.05 - 2.30) and 1.8 times greater resulting in the claims for financing treatment not accordance (95% CI: 1.03 - 3.12). An internal verification team is needed for submission of financing claims, consisting of elements from the medical committee, medical recorders and other related elements, as well as conducting periodic monitoring and evaluation of how to write the main diagnoses and their coding.


2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Mark Bova ◽  
Roas Ergas

ObjectiveTo develop a detailed data validation strategy for facilitiessending emergency department data to the Massachusetts SyndromicSurveillance program and to evaluate the validation strategy bycomparing data quality metrics before and after implementation ofthe strategy.IntroductionAs a participant in the National Syndromic Surveillance Program(NSSP), the Massachusetts Department of Public Health (MDPH)has worked closely with our statewide Health Information Exchange(HIE) and National Syndromic Surveillance Program (NSSP)technical staff to collect and transmit emergency department (ED)data from eligible hospitals (EHs) to the NSSP. Our goal is to ensurecomplete and accurate data using a multi-step process beginning withpre-production data and continuing after EHs are sending live datato production.MethodsWe used an iterative process to establish a framework formonitoring data quality during onboarding of EHs into our syndromicsurveillance system and kept notes of the process.To evaluate the framework, we compared data received duringthe month of January 2016 to the most recent full month of data(June 2016) to describe the following primary data quality metricsand their change over time: total and daily average of message andvisit volume; percent of visits with a chief complaint or diagnosiscode received in the NSSP dataset; and percentage of visits with achief complaint/diagnosis code received within a specified time ofadmission to the ED.ResultsThe strategies for validation we found effective includedexamination of pre-production test HL7 messages and the executionof R scripts for validation of live data in the staging and productionenvironments. Both the staging and production validations areperformed at the individual message level as well as the aggregatedvisit level, and included measures of completeness for requiredfields (Chief Complaint, Diagnosis Codes, Discharge Dispositions),timeliness, examples of text fields (Chief Complaint and TriageNotes), and demographic information. We required EHs to passvalidation in the staging environment before granting access to senddata to the production environment.From January to June 2016, the number of EHs sending data tothe production environment increased from 44 to 48, and the numberof messages and visits captured in the production environmentincreased substantially (see Table 1). The percentage of visits witha chief complaint remained consistently high (>99%); howeverthe percentage of visits with a chief complaint within three hoursof admission decreased during the study period. Both the overallpercentage of visits with a diagnosis code and the percentage of visitswith a diagnosis code within 24 hours of admission increased.ConclusionsFrom January to June 2016, Massachusetts syndromic surveillancedata improved in the percentage of visits with diagnosis codes and thetime from admission to first diagnosis code. This was achieved whilethe volume of data coming into the system increased. The timelinessof chief complaints decreased slightly during the study period, whichmay be due to the inclusion of several new facilities that are unable tosend real-time data. Even with the improvements in the timeliness ofthe diagnosis code field, and the subsequent decrease in the timelinessof the chief complaint field, chief complaints remained a more timelyoption for syndromic surveillance. Pre-production and ongoing dataquality assurance activities are crucial to ensure meaningful dataare acquired for secondary analyses. We found that reviewing testHL7 messages and staging data, daily monitoring of productiondata for key factors such as message volume and percent of visitswith a diagnosis code, and monthly full validation in the productionenvironment were and will continue to be essential to ensure ongoingdata integrity.Table 1: ED Data in the Production Environment


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