scholarly journals Validating International Classification of Disease 10th revision algorithms for identifying influenza and respiratory syncytial virus hospitalizations

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Mackenzie A Hamilton ◽  
Andrew Calzavara ◽  
Scott D Emerson ◽  
Jeffrey C Kwong
Keyword(s):  
Respiratory Syncytial Virus ◽  
Administrative Data ◽  
Predictive Value ◽  
Hospitalized Patients ◽  
International Classification ◽  
Health Administrative Data ◽  
International Classification Of Disease ◽  
Icd 10 ◽  
Syncytial Virus

Objective: Routinely collected health administrative data can be used to efficiently assess disease burden in large populations, but it is important to evaluate the validity of these data. The objective of this study was to develop and validate International Classification of Disease 10PthP revision (ICD -10) algorithms that identify laboratory-confirmed influenza or laboratory-confirmed respiratory syncytial virus (RSV) hospitalizations using population-based health administrative data from Ontario, Canada. Study Design and Setting: Influenza and RSV laboratory data from the 2014-15 through to 2017-18 respiratory virus seasons were obtained from the Ontario Laboratories Information System (OLIS) and were linked to hospital discharge abstract data to generate influenza and RSV reference cohorts. These reference cohorts were used to assess the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the ICD-10 algorithms. To minimize misclassification in future studies, we prioritized specificity and PPV in selecting top-performing algorithms. Results: 83,638 and 61,117 hospitalized patients were included in the influenza and RSV reference cohorts, respectively. The best influenza algorithm had a sensitivity of 73% (95% CI 72% to 74%), specificity of 99% (95% CI 99% to 99%), PPV of 94% (95% CI 94% to 95%), and NPV of 94% (95% CI 94% to 95%). The best RSV algorithm had a sensitivity of 69% (95% CI 68% to 70%), specificity of 99% (95% CI 99% to 99%), PPV of 91% (95% CI 90% to 91%) and NPV of 97% (95% CI 97% to 97%). Conclusion: We identified two highly specific algorithms that best ascertain patients hospitalized with influenza or RSV. These algorithms may be applied to hospitalized patients if data on laboratory tests are not available, and will thereby improve the power of future epidemiologic studies of influenza, RSV, and potentially other severe acute respiratory infections.

scholarly journals Validating International Classification of Disease 10th Revision algorithms for identifying influenza and respiratory syncytial virus hospitalizations

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0244746
Author(s):  
Mackenzie A. Hamilton ◽  
Andrew Calzavara ◽  
Scott D. Emerson ◽  
Mohamed Djebli ◽  
Maria E. Sundaram ◽  
...  
Keyword(s):  
Respiratory Syncytial Virus ◽  
Administrative Data ◽  
Predictive Value ◽  
Hospitalized Patients ◽  
International Classification ◽  
Health Administrative Data ◽  
International Classification Of Disease ◽  
Icd 10 ◽  
Syncytial Virus

Objective Routinely collected health administrative data can be used to efficiently assess disease burden in large populations, but it is important to evaluate the validity of these data. The objective of this study was to develop and validate International Classification of Disease 10th revision (ICD -10) algorithms that identify laboratory-confirmed influenza or laboratory-confirmed respiratory syncytial virus (RSV) hospitalizations using population-based health administrative data from Ontario, Canada. Study design and setting Influenza and RSV laboratory data from the 2014–15, 2015–16, 2016–17 and 2017–18 respiratory virus seasons were obtained from the Ontario Laboratories Information System (OLIS) and were linked to hospital discharge abstract data to generate influenza and RSV reference cohorts. These reference cohorts were used to assess the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the ICD-10 algorithms. To minimize misclassification in future studies, we prioritized specificity and PPV in selecting top-performing algorithms. Results 83,638 and 61,117 hospitalized patients were included in the influenza and RSV reference cohorts, respectively. The best influenza algorithm had a sensitivity of 73% (95% CI 72% to 74%), specificity of 99% (95% CI 99% to 99%), PPV of 94% (95% CI 94% to 95%), and NPV of 94% (95% CI 94% to 95%). The best RSV algorithm had a sensitivity of 69% (95% CI 68% to 70%), specificity of 99% (95% CI 99% to 99%), PPV of 91% (95% CI 90% to 91%) and NPV of 97% (95% CI 97% to 97%). Conclusion We identified two highly specific algorithms that best ascertain patients hospitalized with influenza or RSV. These algorithms may be applied to hospitalized patients if data on laboratory tests are not available, and will thereby improve the power of future epidemiologic studies of influenza, RSV, and potentially other severe acute respiratory infections.

scholarly journals Neue Terminologie für Sprachentwicklungsstörungen?

2021 ◽  
Author(s):  
K. Neumann ◽  
B. Arnold ◽  
A. Baumann ◽  
C. Bohr ◽  
H. A. Euler ◽  
...  
Keyword(s):  
International Classification Of Diseases ◽  
International Classification ◽  
International Classification Of Disease ◽  
Diagnostik Und Therapie ◽  
Classification Of Diseases ◽  
Icd 10

Zusammenfassung Hintergrund Sprachtherapeutisch-linguistische Fachkreise empfehlen die Anpassung einer von einem internationalen Konsortium empfohlenen Änderung der Nomenklatur für Sprachstörungen im Kindesalter, insbesondere für Sprachentwicklungsstörungen (SES), auch für den deutschsprachigen Raum. Fragestellung Ist eine solche Änderung in der Terminologie aus ärztlicher und psychologischer Sicht sinnvoll? Material und Methode Kritische Abwägung der Argumente für und gegen eine Nomenklaturänderung aus medizinischer und psychologischer Sicht eines Fachgesellschaften- und Leitliniengremiums. Ergebnisse Die ICD-10-GM (Internationale statistische Klassifikation der Krankheiten und verwandter Gesundheitsprobleme, 10. Revision, German Modification) und eine S2k-Leitlinie unterteilen SES in umschriebene SES (USES) und SES assoziiert mit anderen Erkrankungen (Komorbiditäten). Die USES- wie auch die künftige SES-Definition der ICD-11 (International Classification of Diseases 11th Revision) fordern den Ausschluss von Sinnesbehinderungen, neurologischen Erkrankungen und einer bedeutsamen intellektuellen Einschränkung. Diese Definition erscheint weit genug, um leichtere nonverbale Einschränkungen einzuschließen, birgt nicht die Gefahr, Kindern Sprach- und weitere Therapien vorzuenthalten und erkennt das ICD(International Classification of Disease)-Kriterium, nach dem der Sprachentwicklungsstand eines Kindes bedeutsam unter der Altersnorm und unterhalb des seinem Intelligenzalter angemessenen Niveaus liegen soll, an. Die intendierte Ersetzung des Komorbiditäten-Begriffs durch verursachende Faktoren, Risikofaktoren und Begleiterscheinungen könnte die Unterlassung einer dezidierten medizinischen Differenzialdiagnostik bedeuten. Schlussfolgerungen Die vorgeschlagene Terminologie birgt die Gefahr, ätiologisch bedeutsame Klassifikationen und differenzialdiagnostische Grenzen zu verwischen und auf wertvolles ärztliches und psychologisches Fachwissen in Diagnostik und Therapie sprachlicher Störungen im Kindesalter zu verzichten.

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.

A Strategic Plan for Integrating ICD-10 in Your Practice and Workflow

2015 ◽  
pp. e91-e98 ◽  
Author(s):  
Sue Bowman ◽  
Risë Marie Cleland ◽  
Stuart Staggs
Keyword(s):  
United States ◽  
Strategic Plan ◽  
The United States ◽  
Training Needs ◽  
International Classification ◽  
Diagnosis Code ◽  
International Classification Of Disease ◽  
Challenges And Opportunities ◽  
Icd 10

The adoption of the International Classification of Disease (ICD) 10th Revision (ICD-10) diagnosis code set in the United States has been legislatively delayed several times with the most recent date for implementation set for October 1, 2015. The transition from ICD-9 to ICD-10 will be a major undertaking that will require a substantial amount of planning. In the following article, we outline the steps to develop and implement a strategic plan for the transition to the new code set, identify training needs throughout the practice, and review the challenges and opportunities associated with the transition to ICD-10.

scholarly journals Gambaran Pengetahuan dan Keterampilan Dokter tentang Pengisian Penyebab Kematian Medis (Medical Cause of Death) Berdasarkan Standar ICD-10 di RS Tersier di Bandung

2019 ◽  
Vol 8 (2) ◽  
pp. 325
Author(s):  
Noverika Windasari ◽  
Nur Adibah ◽  
Chevi Sayusman
Keyword(s):  
Cause Of Death ◽  
International Classification ◽  
International Classification Of Disease ◽  
Terminal Events ◽  
Icd 10

Penyebab kematian medis perlu dicantumkan pada setiap rekam medis pasien yang meninggal. Dokter di Rumah Sakit berperan penting dalam menentukan sebab kematian medis (medical cause of death). Tujuan penelitian adalah untuk menilai pengetahuan dan keterampilan dokter tentang cara penulisan penyebab kematian medis (medical cause of death) pada rekam medis di RS Tersier di Bandung yang sesuai dengan standar WHO International Classification of Disease (ICD) 10. Penelitian ini berupa studi deskriptif analitik dengan memberikan kuesioner pada dokter klinis di suatu RS Tersier di Bandung untuk menilai pengetahuan dan keterampilan dokter tentang cara penulisan penyebab kematian medis (medical cause of death) dan kesesuaiannya dengan standar WHO ICD-10. Dari total 928 orang dokter klinis, didapatkan 90 sampel. Sampel mewakili setiap departemen/bagian yang terlibat langsung pembuatan penyebab kematian medis di suatu RS Tersier di Bandung. Hasil penelitian ini menunjukkan 58,1% dokter yang memahami tentang cara penulisan penyebab kematian medis yang benar, sedangkan 41,9% belum memahami secara teori. Keterampilan dokter dalam mengisi penyebab kematian medis yang benar dan lengkap sebesar 20,7%, sedangkan 23,3% mengisi penyebab kematian medis dengan benar namun tidak lengkap. Sebanyak 75,4% mengisi penyebab kematian yang salah, terutama karena menuliskan kondisi akhir sebelum kematian (terminal events). Masih separuh dokter (58,1%) mengetahui cara penulisan penyebab kematian medis yang benar sesuai standar WHO ICD-10. Tingkat keterampilan dalam mengisi penyebab kematian medis yang lengkap, masih sangat rendah (20,7%).

scholarly journals Acute and transient psychotic disorders in a rapidly developing country, State of Qatar

Medicina ◽  
2006 ◽  
Vol 43 (7) ◽  
pp. 575 ◽  
Author(s):  
Taher Shaltout ◽  
Abdulbari Bener ◽  
Majid Al Abdullah ◽  
Zahra Al Mujalli ◽  
Hany Shaltout
Keyword(s):  
Psychotic Disorders ◽  
Early Adulthood ◽  
Study Data ◽  
International Classification ◽  
International Classification Of Disease ◽  
Significant Difference ◽  
Icd 10 ◽  
Lower Incidence Rate ◽  
Interesting Area

Background. Little is known about acute and transient psychotic disorders, which is a diagnostic group, introduced with International Classification of Disease, 10th revision. It is an interesting area of research receiving a lot of attention. Objective. The aim of the study was to find the incidence of acute and transient psychotic disorders in the population and determine its sociodemographic features in the State of Qatar. Design. This is a retrospective descriptive study. Setting. The study was conducted in the Department of Psychiatry of the Rumaillah Hospital, Hamad Medical Corporation, Doha, Qatar. Methods. All Qatari, non-Qatari Arabs, and expatriate patients who were hospitalized with psychotic disorders in the inpatient wards or treated in the outpatient clinics of the Department of Psychiatry over a 7-year period were enrolled in the study. Data were collected from the medical records of patients. The study was conducted from August 1, 1996, to January 1, 2004, amongst the patients with acute and transient psychotic disorders. The diagnostic classification of definite psychotic disorders was made in accordance with criteria based on the International Classification of Disease, 10th revision (ICD-10). Results. A total of 174 patients were treated during a 7-year period. Among them, 69% were males and 31% females. No cases were found in children aged less than 15 years. The highest frequency (43.7%) was found in the early adulthood (16–29 years of age). The incidence of acute and transient psychotic disorders was higher in the expatriates (66.7%). More than half (63.8%) of the patients were employed. Most of the cases (35.6%) had acute schizophrenia-like psychotic disorders (F23.2). There was no statistically significant difference in the frequency of acute and transient psychotic disorders between males and females, Qatari and non-Qatari Arabs, and single and married. Conclusion. The study found markedly lower incidence rate of acute and transient psychotic disorders in females than males. The highest frequency was found in the early adulthood (16–29 years). No cases were found in children aged less than 15 years. It is important to find ways to promote healthier lifestyles in this population in order to prevent the onset of psychotic disorders.

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