scholarly journals Validation of the Use of Electronic Health Records for Classification of ADHD Status

2016 ◽  
Vol 23 (13) ◽  
pp. 1647-1655 ◽  
Author(s):  
Siobhan M. Gruschow ◽  
Benjamin E. Yerys ◽  
Thomas J. Power ◽  
Dennis R. Durbin ◽  
Allison E. Curry
Keyword(s):  
Large Scale ◽  
Pediatric Patients ◽  
High Sensitivity ◽  
International Classification Of Diseases ◽  
Diagnostic Codes ◽  
Applied Study ◽  
Classification Of Diseases ◽  
Primary Care Patients ◽  
Electronic Health

Objective: To validate an electronic health record (EHR)–based algorithm to classify ADHD status of pediatric patients. Method: As part of an applied study, we identified all primary care patients of The Children’s Hospital of Philadelphia [CHOP] health care network who were born 1987-1995 and residents of New Jersey. Patients were classified with ADHD if their EHR indicated an International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis code of “314.x” at a clinical visit or on a list of known conditions. We manually reviewed EHRs for ADHD patients ( n = 2,030) and a random weighted sample of non-ADHD patients ( n = 807 of 13,579) to confirm the presence or absence of ADHD. Results: Depending on assumptions for inconclusive cases, sensitivity ranged from 0.96 to 0.97 (95% confidence interval [CI] = [0.95, 0.97]), specificity from 0.98 to 0.99 [0.97, 0.99], and positive predictive value from 0.83 to 0.98 [0.81, 0.99]. Conclusion: EHR-based diagnostic codes can accurately classify ADHD status among pediatric patients and can be used by large-scale epidemiologic and clinical studies with high sensitivity and specificity.

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

Prevalence and Incidence of Heart Failure Among Urban Patients in China: A National Population-Based Analysis

2021 ◽  
Author(s):  
Hua Wang ◽  
Ke Chai ◽  
Minghui Du ◽  
Shengfeng Wang ◽  
Jian-Ping Cai ◽  
...  
Keyword(s):  
Heart Failure ◽  
Large Scale ◽  
International Classification Of Diseases ◽  
Population Based ◽  
Unique Identifier ◽  
Classification Of Diseases ◽  
Per Capita ◽  
Mean Cost ◽  
Incident Cases

Background: Large-scale and population-based studies of heart failure (HF) incidence and prevalence are scarce in China. The study sought to estimate the prevalence, incidence, and cost of HF in China. Methods: We conducted a population-based study using records of 50.0 million individuals ≥25 years old from the national urban employee basic medical insurance from 6 provinces in China in 2017. Incident cases were individuals with a diagnosis of HF (International Classification of Diseases code, and text of diagnosis) in 2017 with a 4-year disease-free period (2013–2016). We calculated standardized rates by applying age standardization to the 2010 Chinese census population. Results: The age-standardized prevalence and incidence were 1.10% (1.10% among men and women) and 275 per 100 000 person-years (287 among men and 261 among women), respectively, accounting for 12.1 million patients with HF and 3.0 million patients with incident HF ≥25 years old. Both prevalence and incidence increased with increasing age (0.57%, 3.86%, and 7.55% for prevalence and 158, 892, and 1655 per 100 000 person-years for incidence among persons who were 25–64, 65–79, and ≥80 years of age, respectively). The inpatient mean cost per-capita was $4406.8 and the proportion with ≥3 hospitalizations among those hospitalized was 40.5%. The outpatient mean cost per-capita was $892.3. Conclusions: HF has placed a considerable burden on health systems in China, and strategies aimed at the prevention and treatment of HF are needed. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: ChiCTR2000029094.

Abstract 14682: Impact of Atrial Fibrillation in Aortic Stenosis Patients: Insights From the United States Readmissions Database

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Shashank Shekhar ◽  
Anas M Saad ◽  
Toshiaki Isogai ◽  
Mohamed M Gad ◽  
Keerat Ahuja ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Aortic Stenosis ◽  
Hospital Mortality ◽  
Large Scale ◽  
International Classification Of Diseases ◽  
The United States ◽  
Large Scale Data ◽  
Classification Of Diseases

Introduction: Even though atrial fibrillation (AF) is present in >30% of patients with aortic stenosis (AS), it is not typically included in the decision-making algorithm for the timing or need for aortic valve replacement (AVR), either by transcatheter (TAVR) or surgical (SAVR) approaches. Large scale data on how AF affects outcomes of AS patients remain scarce. Methods: From the Nationwide Readmissions Database (NRD), we retrospectively identified AS patients aged ≥18years, with and without AF admitted between January and June in 2016 and 2017 (to allow for a six month follow up), using the International Classification of Diseases-10 th revision codes. Multivariable logistic regression was performed to examine the predictors of in-hospital mortality during index hospitalization. In-hospital complications and 6 month in-hospital mortality during any readmission after being discharged alive were compared in patients with and without AF, for patients undergoing TAVR, SAVR or no-AVR. Results: We identified 403,089 AS patients, of which 41% had AF. Patients with AF were older (median age in years: 83 vs. 79) and were more frequently females (52% vs. 48%; p<0.001). Table summarizes outcomes of AS patients with and without AF. TAVR in patients with AF was associated with higher in-hospital mortality and follow-up mortality as compared to patients without AF. Although AF did not influence in-hospital mortality in SAVR population, follow-up mortality was also significantly higher after SAVR in patients with AF compared to patients without AF. For patients not undergoing AVR, in-hospital and follow-up mortality were higher in AF population compared to no AF and was higher than patients undergoing AVR (Table). Conclusions: AF is associated with worse outcomes in patients with AS irrespective of treatment (TAVR, SAVR or no-AVR). More studies are needed to understand the implications of AF in AS population and whether earlier treatment of AS in patients with AF can improve outcomes.

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

Identifying Obstructive Sleep Apnea in Administrative Data

2015 ◽  
Vol 123 (2) ◽  
pp. 253-263 ◽  
Author(s):  
Daniel I. McIsaac ◽  
Andrea Gershon ◽  
Duminda Wijeysundera ◽  
Gregory L. Bryson ◽  
Neal Badner ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Airway Pressure ◽  
Positive Airway Pressure ◽  
International Classification Of Diseases ◽  
International Classification ◽  
Diagnostic Codes ◽  
Obstructive Sleep ◽  
Classification Of Diseases

Abstract Background: Health administrative (HA) databases are increasingly used to identify surgical patients with obstructive sleep apnea (OSA) for research purposes, primarily using diagnostic codes. Such means to identify patients with OSA are not validated. The authors determined the accuracy of case-ascertainment algorithms for identifying patients with OSA with the use of HA data. Methods: Clinical data derived from an academic health sciences network within a universal health insurance plan were used as the reference standard. The authors linked patients to HA data and retrieved all claims in the 2 yr before surgery to determine the presence of any diagnostic codes, diagnostic procedures, or therapeutic interventions consistent with OSA. Results: The authors identified 4,965 patients (2003 to 2012) who underwent preoperative polysomnogram. Of these, 4,353 patients were linked to HA data; 2,427 of these (56%) had OSA based on diagnosis by a sleep physician or the apnea hypopnea index. A claim for a polysomnogram and receipt of a positive airway pressure device had a sensitivity, specificity, and positive likelihood ratio (+LR) for OSA of 19, 98, and 10.9%, respectively. An International Classification of Diseases, Tenth Revision, code for sleep apnea in hospitalization abstracts was 9% sensitive and 98% specific (+LR, 4.5). A physician billing claim for OSA (International Classification of Diseases, Ninth Revision, 780.5) was 58% sensitive and 38% specific (+LR, 0.9). A polysomnogram and a positive airway pressure device or any code for OSA was 70% sensitive and 36% specific (+LR, 1.1). Conclusions: No code or combination of codes provided a +LR high enough to adequately identify patients with OSA. Existing studies using administrative codes to identify OSA should be interpreted with caution.

scholarly journals An electronic health record-based strategy to recruit for a Patient Advisory Council for Research: Implications for inclusion

2019 ◽  
Vol 4 (1) ◽  
pp. 69-72
Author(s):  
Nassira Bougrab ◽  
Dadong Li ◽  
Howard Trachtman ◽  
Scott Sherman ◽  
Rachel Thornton ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
International Classification Of Diseases ◽  
Advisory Council ◽  
Health Record ◽  
Patient Portal ◽  
Classification Of Diseases ◽  
Clinical Research Informatics ◽  
Race Ethnicity ◽  
Electronic Health

AbstractIn 2017, the NYU Clinical and Translational Science Institute’s Recruitment and Retention Unit created a Patient Advisory Council for Research (PACR) to provide feedback on clinical trials and health research studies. We collaborated with our clinical research informatics team to generate a random sample of patients, based on the International Classification of Diseases, Tenth Revision codes and demographic factors, for invitation via the patient portal. This approach yielded in a group that was diverse with regard to age, race/ethnicity, sex, and health conditions. This report highlights the benefits and limitations of using an electronic health record-based strategy to identify and recruit members for a PACR.

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