Association of designated open water swim area regulations and open water drowning rates

2020 ◽  
pp. injuryprev-2019-043464
Author(s):  
Linda Quan ◽  
Brianna Mills ◽  
Suet Sen Chau ◽  
Elizabeth Bennett ◽  
Kaylin Bolt ◽  
...  
Keyword(s):  
Regression Models ◽  
Reporting System ◽  
Open Water ◽  
Dose Response Relationship ◽  
Web Based ◽  
Death Rates ◽  
State Regulations ◽  
International Classification Of Disease ◽  
Icd 10

BackgroundAlthough most persons over 5 years of age drown in open water, few laws have sought to regulate open water swim sites. We examined the association between regulations for designated open water swim sites and open water drowning death rates by state.MethodsUsing International Classification of Disease (ICD)-10 codes in the CDC Web-based Injury Statistics Query and Reporting System (WISQARS), we identified and calculated open water drowning deaths involving all ages from 2012 to 2017 for 50 states and calculated open water drowning death rates. We then identified and categorised types of state regulations (lifeguards, water quality, rescue equipment, tracking/planning/reporting and signage) for open water swim sites in place in 2017 for a sample of 30 states (20 high-drowning, 10 low-drowning). Analyses evaluated associations between open water drowning rates in three groups (overall, youth and non-white) and the total number and types of state regulations.ResultsSwim site regulations and open water drowning death rates for 10 839 victims were associated in all regression models. States with more types of regulations had lower open water drowning death rates in a dose-response relationship. States lacking regulations compared with states with all five types of regulations had open water drowning death rates 3.02 times higher among youth (95% CI 1.82 to 4.99) and 4.16 times higher among non-white residents (95% CI 2.46 to 7.05). Lifeguard and tracking/planning/reporting regulations were associated with a 33% and 45% reduction in open water drowning rates overall and among those aged 0–17 years.ConclusionStates’ open water swim area regulations, especially addressing tracking/planning/reporting and lifeguards, were associated with lower open water drowning death rates.

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 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 Distributed Biomedical Terminology Development: From Experiments to Open Process

2010 ◽  
Vol 19 (01) ◽  
pp. 58-63 ◽  
Author(s):  
C. G. Chute
Keyword(s):  
Group Process ◽  
Large Scale ◽  
Description Logic ◽  
Social Computing ◽  
Historical Review ◽  
Web Based ◽  
International Classification Of Disease ◽  
Biomedical Terminology ◽  
Computing Models

Summary Objective: Can social computing efforts materially alter the distributed creation and maintenance of complex biomedical terminologies and ontologies; a review of distributed authoring history and status. Background: Social computing projects, such as Wikipedia, have dramatically altered the perception and reality of large-scale content projects and the labor required to create and maintain them. Health terminologies have become large, complex, interdependent content artifacts of increasing importance to biomedical research and the communities understanding of biology, medicine, and optimal healthcare practices. The question naturally arises as to whether social computing models and distributed authoring platforms can be applied to the voluntary, distributed authoring of high-quality terminologies and ontologies. Methods: An historical review of distributed authoring developments. Results: The trajectory of description logic-driven authoring tools, group process, and web-based platforms suggests that public distributed authoring is likely feasible and practical; however, no compelling example on the order of Wikipedia is yet extant. Nevertheless, several projects, including the Gene Ontology and the new revision of the International Classification of Disease (ICD-11) hold promise.

scholarly journals Beliefs about the cause of schizophrenia among caregivers in Midwestern Nigeria

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Osayi Igberase ◽  
Esther Okogbenin
Keyword(s):  
Formal Education ◽  
Primary Caregivers ◽  
World Health ◽  
Treatment Seeking ◽  
Benin City ◽  
International Classification Of Disease ◽  
Seeking Behavior ◽  
Icd 10 ◽  
Health Organization

Schizophrenia is a devastating illness with a chronic and relapsing course. While Western countries may endorse, biological and psychosocial causes more commonly than supernatural causes, non-western cultures like Nigeria in contrast, tend to endorse supernatural causes. Belief in supernatural causes has been reported to have consequences for treatment seeking behavior. This study aimed to examine the causes of schizophrenia reported by family members of outpatients with schizophrenia in a neuropsychiatric hospital in Midwestern Nigeria. In this study, we recruited a convenient sample of 200 consecutive caregivers of patients visiting the outpatient department of the Psychiatric Hospital, Benin City, Nigeria. These primary caregivers were unpaid relatives who provided support to patients. The patients were service users who fulfilled the diagnostic criteria of the International Classification of Disease [ICD-10; World Health Organization 1993] for schizophrenia and had been on treatment for at least two years. Majority (72.0%) of caregivers endorsed supernatural causes as most important in the etiology of schizophrenia, while 28.0% endorsed natural causes. Every participant without formal education endorsed supernatural attribution. In our study, it was evident that participants embraced multiple causal attributions for schizophrenia.

scholarly journals Penerapan Data Mining Untuk Pengelompokan Hasil Diagnosa Penyakit Pasien Pengguna BPJS Kesehatan (Studi Kasus Pada Rsud Undata Palu)

2019 ◽  
Vol 1 (1) ◽  
pp. 51 ◽  
Author(s):  
Amriana Amriana ◽  
Yuri Yudhaswana Joefrie ◽  
Farah Nabila Meidji
Keyword(s):  
Medical Record ◽  
Community Health Center ◽  
Disease Diagnosis ◽  
Patient Medical Record ◽  
International Classification Of Disease ◽  
Disease Information ◽  
C4.5 Algorithm ◽  
Icd 10 ◽  
Central Sulawesi

This research was conducted to process medical record data in RSUD Undata of central Sulawesi province, for some BPJS Kesehatan insurance member. Medical record contain information about identity and medical history by patient  in Hospital or community health center (Puskesmas). Medical records have disease information by patients encoded according to WHO standart. The code is called ICD (International Classification of Disease) and this research use C4.5 Algorithm as Classification method to process patient medical record which then uses address attributes, gender, age and disease diagnosis (ICD-10). Of the five attributes are groupings then processed into group of age, regional and icd. The result of this studi can find patterns of disease tendency that most suffered by people in a region.

scholarly journals Vaccine Safety Datalink infrastructure enhancements for evaluating the safety of maternal vaccination

2021 ◽  
Vol 12 ◽  
pp. 204209862110212
Author(s):  
Allison L. Naleway ◽  
Bradley Crane ◽  
Stephanie A. Irving ◽  
Don Bachman ◽  
Kimberly K. Vesco ◽  
...  
Keyword(s):  
Real Time ◽  
Medical Record ◽  
Gestational Age ◽  
Medical Records ◽  
Vaccine Safety ◽  
Live Births ◽  
International Classification Of Disease ◽  
Safety Studies ◽  
Icd 10

Background: Identifying pregnancy episodes and accurately estimating their beginning and end dates are imperative for observational maternal vaccine safety studies using electronic health record (EHR) data. Methods: We modified the Vaccine Safety Datalink (VSD) Pregnancy Episode Algorithm (PEA) to include both the International Classification of Disease, ninth revision (ICD-9 system) and ICD-10 diagnosis codes, incorporated additional gestational age data, and validated this enhanced algorithm with manual medical record review. We also developed the new Dynamic Pregnancy Algorithm (DPA) to identify pregnancy episodes in real time. Results: Around 75% of the pregnancy episodes identified by the enhanced VSD PEA were live births, 12% were spontaneous abortions (SABs), 10% were induced abortions (IABs), and 0.4% were stillbirths (SBs). Gestational age was identified for 99% of live births, 89% of SBs, 69% of SABs, and 42% of IABs. Agreement between the PEA-assigned and abstractor-identified pregnancy outcome and outcome date was 100% for live births, but was lower for pregnancy losses. When gestational age was available in the medical record, the agreement was higher for live births (97%), but lower for pregnancy losses (75%). The DPA demonstrated strong concordance with the PEA and identified pregnancy episodes ⩾6 months prior to the outcome date for 89% of live births. Conclusion: The enhanced VSD PEA is a useful tool for identifying pregnancy episodes in EHR databases. The DPA improves the timeliness of pregnancy identification and can be used for near real-time maternal vaccine safety studies. Plain Language Summary Improving identification of pregnancies in the Vaccine Safety Datalink electronic medical record databases to allow for better and faster monitoring of vaccination safety during pregnancy Introduction: It is important to monitor of the safety of vaccines after they have been approved and licensed by the Food and Drug Administration, especially among women vaccinated during pregnancy. The Vaccine Safety Datalink (VSD) monitors vaccine safety through observational studies within large databases of electronic medical records. Since 2012, VSD researchers have used an algorithm called the Pregnancy Episode Algorithm (PEA) to identify the medical records of women who have been pregnant. Researchers then use these medical records to study whether receiving a particular vaccine is linked to any negative outcomes for the woman or her child. Methods: The goal of this study was to update and enhance the PEA to include the full set of medical record diagnostic codes [both from the older International Classification of Disease, ninth revision (ICD-9 system) and the newer ICD-10 system] and to incorporate additional sources of data about gestational age. To ensure the validity of the PEA following these enhancements, we manually reviewed medical records and compared the results with the algorithm. We also developed a new algorithm, the Dynamic Pregnancy Algorithm (DPA), to identify women earlier in pregnancy, allowing us to conduct more timely vaccine safety assessments. Results: The new version of the PEA identified 2,485,410 pregnancies in the VSD database. The enhanced algorithm more precisely estimated the beginning of pregnancies, especially those that did not result in live births, due to the new sources of gestational age data. Conclusion: Our new algorithm, the DPA, was successful at identifying pregnancies earlier in gestation than the PEA. The enhanced PEA and the new DPA will allow us to better evaluate the safety of current and future vaccinations administered during or around the time of pregnancy.

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%).

Inter-rater reliability of ICD-10 in Chinese patients

1997 ◽  
Vol 12 (1) ◽  
pp. 8-10 ◽  
Author(s):  
AHT Pang ◽  
GS Ungvari ◽  
CK Wong ◽  
T Leung
Keyword(s):  
Chart Review ◽  
Field Trials ◽  
Chinese Patients ◽  
Cultural Backgrounds ◽  
Rater Reliability ◽  
International Classification Of Disease ◽  
Icd 10 ◽  
Universal Applicability ◽  
And Training

SummaryIn an attempt to assess the universal applicability of the International Classification of Disease (ICD-10), two psychiatrists from different socio-cultural backgrounds and training independently performed a chart review of 238 Chinese patients. Inter-rater reliability figures were comparable to those found in the WHO-coordinated ICD-10 field trials. The results suggest that ICD-10 has good ‘universality’ in routine clinical practice.

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