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.

scholarly journals Validation of the International Classification of Disease 10th Revision Codes for Kidney Transplant Rejection and Failure

2020 ◽  
Vol 7 ◽  
pp. 205435812097739
Author(s):  
David Massicotte-Azarniouch ◽  
Manish M. Sood ◽  
Dean A. Fergusson ◽  
Greg A. Knoll
Keyword(s):  
Kidney Transplant ◽  
Chart Review ◽  
Transplant Rejection ◽  
Graft Loss ◽  
International Classification ◽  
Transplant Recipients ◽  
Kidney Transplant Recipients ◽  
International Classification Of Disease ◽  
Icd 10

Background: Clinical research requires that diagnostic codes captured from routinely collected health administrative data accurately identify individuals with a disease. Objective: In this study, we validated the International Classification of Disease 10th Revision (ICD-10) definition for kidney transplant rejection (T86.100) and for kidney transplant failure (T86.101). Design: Retrospective cohort study. Setting: A large, regional transplantation center in Ontario, Canada. Patients: All adult kidney transplant recipients from 2002 to 2018. Measurements: Chart review was undertaken to identify the first occurrence of biopsy-confirmed rejection and graft loss for all participants. For each observation, we determined the first date a single ICD-10 code T86.100 or T86.101 was recorded as a hospital encounter discharge diagnosis. Methods: Using chart review as the gold standard, we determined the sensitivity, specificity, and positive predictive value (PPV) for the ICD-10 codes T86.100 and T86.101. Results: Our study population comprised of 1,258 kidney transplant recipients. The prevalence of rejection and death-censored graft loss were 15.6 and 9.1%, respectively. For the ICD-10 rejection code (T86.100), sensitivity was 72.9% (95% confidence interval [CI], 66.6-79.2), specificity 97.5% (96.5-98.4), and PPV 83.8% (78.3-89.4). For the ICD-10 graft loss code (T86.101), sensitivity was 21.2% (95% CI, 13.2-29.3), specificity 86.3% (84.3-88.3), and PPV 11.7% (7.0-16.4). Limitations: Single-center study which may limit generalizability of our findings. Conclusions: A single ICD-10 code for kidney transplant rejection (T86.100) was present in 84% of true kidney transplant rejections and is an accurate way of identifying kidney transplant recipients with rejection using administrative health data. The ICD-10 code for graft failure (T86.101) performed poorly and should not be used for administrative health research.

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.

Field Trials of the 1987 Draft of Chapter V (F) of ICD-10

1988 ◽  
Vol 152 (S1) ◽  
pp. 33-37 ◽  
Author(s):  
Jack D. Burke
Keyword(s):  
Mental Health ◽  
Diagnostic Criteria ◽  
Study Design ◽  
Field Trial ◽  
Developmental Disorders ◽  
International Classification Of Diseases ◽  
Field Trials ◽  
Classification Of Diseases ◽  
Icd 10

IntroductionThis paper will review the major objectives and study design of the Field Trials of the draft chapter on Mental Behavioural and Developmental Disorders in the tenth revision of the International Classification of Diseases (ICD-10), now in preparation. The text used in this Field Trial is the Clinical Descriptions and Diagnostic Guidelines, which is more elaborate than the Short Glossary for this chapter that will be published in the main volume of ICD-10. The text for the former will be published together with the Diagnostic Criteria for Research and other parts of the WHO family of instruments relevant to mental health.

scholarly journals Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance

2015 ◽  
Vol 23 (e1) ◽  
pp. e20-e27 ◽  
Author(s):  
Wei-Qi Wei ◽  
Pedro L Teixeira ◽  
Huan Mo ◽  
Robert M Cronin ◽  
Jeremy L Warner ◽  
...  
Keyword(s):  
Chart Review ◽  
Disease Category ◽  
Clinical Notes ◽  
International Classification Of Disease ◽  
Diagnosis Codes ◽  
Immunodeficiency Virus ◽  
Icd Codes ◽  
Overall Performance ◽  
Electronic Health

Abstract Objective To evaluate the phenotyping performance of three major electronic health record (EHR) components: International Classification of Disease (ICD) diagnosis codes, primary notes, and specific medications. Materials and Methods We conducted the evaluation using de-identified Vanderbilt EHR data. We preselected ten diseases: atrial fibrillation, Alzheimer’s disease, breast cancer, gout, human immunodeficiency virus infection, multiple sclerosis, Parkinson’s disease, rheumatoid arthritis, and types 1 and 2 diabetes mellitus. For each disease, patients were classified into seven categories based on the presence of evidence in diagnosis codes, primary notes, and specific medications. Twenty-five patients per disease category (a total number of 175 patients for each disease, 1750 patients for all ten diseases) were randomly selected for manual chart review. Review results were used to estimate the positive predictive value (PPV), sensitivity, and F -score for each EHR component alone and in combination. Results The PPVs of single components were inconsistent and inadequate for accurately phenotyping (0.06–0.71). Using two or more ICD codes improved the average PPV to 0.84. We observed a more stable and higher accuracy when using at least two components (mean ± standard deviation: 0.91 ± 0.08). Primary notes offered the best sensitivity (0.77). The sensitivity of ICD codes was 0.67. Again, two or more components provided a reasonably high and stable sensitivity (0.59 ± 0.16). Overall, the best performance ( F score: 0.70 ± 0.12) was achieved by using two or more components. Although the overall performance of using ICD codes (0.67 ± 0.14) was only slightly lower than using two or more components, its PPV (0.71 ± 0.13) is substantially worse (0.91 ± 0.08). Conclusion Multiple EHR components provide a more consistent and higher performance than a single one for the selected phenotypes. We suggest considering multiple EHR components for future phenotyping design in order to obtain an ideal result.

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.

Psychotic Disorders in ICD-11

2013 ◽  
Vol 10 (01) ◽  
pp. 11-17 ◽  
Author(s):  
J. Zielasek ◽  
H.-R. Cleveland ◽  
W. Gaebel
Keyword(s):  
Psychotic Disorders ◽  
Reliability And Validity ◽  
Field Trials ◽  
World Health ◽  
Icd 10 ◽  
Health Organization ◽  
The Impact ◽  
Research Domain ◽  
Specific Working

SummaryWithin the efforts to revise ICD-10, the World Health Organization (WHO) has appointed a disorder-specific Working Group on the Classification of Psychotic Disorders (WGPD). The WGPD has proposed several changes to the classification criteria of schizophrenia and other primary psychotic disorders in order to increase the clinical utility, reliability and validity of the diagnostic classification. The main proposals include changes to the chapter title, the replacement of existing schizophrenia subtypes with symptom specifiers, stricter diagnostic criteria for schizoaffective disorder, a reorganization of the delusional disorders and the acute and transient psychotic disorders, as well as the revision of course specifiers. These proposed revisions are subject to field trials with the aim of studying whether they will lead to an improvement of the classification system in comparison to its previous version. The proposals are compared with revisions of the according DSM-5 chapter. The impact of novel results from neuroscience and genetics on the current proposals is discussed, also with respect to future classification strategies such as the Research Domain Criteria (RDoC) project.

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.

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