Inter-rater reliability of ICD-10 in Chinese patients

Pang, Alan Lap‐Yin; Ungvári, Gábor S.; Wong, CP; Leung, Tung Ming

doi:10.1016/s0924-9338(97)86372-9

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…prior to randomization). Eligibility was based on: legal adult status (19 years or older), housing status (absolutely homeless or precariously housed), and presence of a mental disorder as defined by the Mini International Neuropsychiatric Interview (MINI 6.0) [ 30 , 31 ]. Mental disorder status was confirmed through written diagnosis from physicians or other service providers wherever possible.…”

Section: Methodsmentioning

confidence: 99%

“…Baseline interview data were obtained by trained interviewers via in person administration of a detailed questionnaire consisting of several domains including: socio-demographics, physical health, mental and substance disorders and service use [ 30 ]. The following variables derived from the baseline self-report questionnaires were included in the multivariable analyses: gender, age, ethnicity (aboriginal; white; other).…”

Section: Methodsmentioning

confidence: 99%

“…A “severe” cluster included at least one of current psychosis, mood disorder with psychotic features and hypomanic or manic episode. Diagnostic information was based on the MINI 6.0 [ 30 ], with confirmation from a physician where available. No self-report diagnostic information was utilized in the multivariable analyses.…”

Section: Methodsmentioning

confidence: 99%

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A 10-year retrospective analysis of hospital admissions and length of stay among a cohort of homeless adults in Vancouver, Canada

Russolillo

Moniruzzaman

Parpouchi

et al. 2016

BMC Health Serv Res

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BackgroundHomelessness is associated with a very high prevalence of substance use and mental disorders and elevated levels of acute health service use. Among the homeless, little is known regarding the relative impact of specific mental disorders on healthcare utilization. The aim of the present study was to examine the association between different categories of diagnosed mental disorders with hospital admission and length of stay (LOS) in a cohort of homeless adults in Vancouver, Canada.MethodsParticipants were recruited as part of an experimental trial in which participants met criteria for both homelessness and mental illness. Administrative data were obtained (with separate consent) including comprehensive records of acute hospitalizations during the 10 years prior to recruitment and while participants where experiencing homelessness. Generalized Estimating Equations were used to estimate the associations between outcome variables (acute hospital admissions and LOS) and predictor variables (specific disorders).ResultsAmong the eligible sample (n = 433) 80 % were hospitalized, with an average of 6.0 hospital admissions and 71.4 days per person during the 10-year observation period. Of a combined total 2601 admissions to hospital, 1982 were psychiatric and 619 were non-psychiatric. Significant (p <0.001) independent predictors of hospital admission and LOS included a diagnosis of schizophrenia or bipolar disorder, as well as high (≥32 service contacts) non-psychiatric medical service use in the community.ConclusionsOur results demonstrate that specific mental disorders alongside high non-psychiatric service use were significantly associated with hospital admission and LOS. These findings suggest the importance of screening within the homeless population to identify individuals who may be at risk for acute illness and the implementation of services to promote recovery and prevent repeated hospitalization.Trial RegistrationISRCTN57595077; ISRCTN66721740

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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A 10-year retrospective analysis of hospital admissions and length of stay among a cohort of homeless adults in Vancouver, Canada

Russolillo

Moniruzzaman

Parpouchi

et al. 2016

BMC Health Serv Res

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Gender differences in sleep latency between low and high hopelessness individuals

Li,

Zhong,

Liang

et al. 2024

Curr Psychol

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Radial-Based Signal-Processing Combined With Methods of Machine Learning

Weichert

Gaspar

Wagner

2013

Int. J. Patt. Recogn. Artif. Intell.

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The present paper describes a novel approach to performing feature extraction and classification in possibly layered circular structures, as seen in two-dimensional cutting planes of three-dimensional tube-shaped objects. The algorithm can therefore be used to analyze histological specimens of blood vessels as well as intravascular ultrasound (IVUS) datasets. The approach uses a radial signal-based extraction of textural features in combination with methods of machine learning to integrate a priori domain knowledge. The algorithm in principle solves a two-dimensional classification problem that is reduced to parallel viable time series analysis. A multiscale approach hereby determines a feature vector for each analysis using either a Wavelet-transform (WT) or a S-transform (ST). The classification is done by methods of machine learning — here support vector machines. A modified marching squares algorithm extracts the polygonal segments for the two-dimensional classification. The accuracy is above 80% even in datasets with a considerable quantity of artifacts, while the mean accuracy is above 90%. The benefit of the approach therefore mainly lies in its robustness, efficient calculation, and the integration of domain knowledge.

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Inter-rater reliability of ICD-10 in Chinese patients

Cited by 3 publications

References 10 publications

A 10-year retrospective analysis of hospital admissions and length of stay among a cohort of homeless adults in Vancouver, Canada

A 10-year retrospective analysis of hospital admissions and length of stay among a cohort of homeless adults in Vancouver, Canada

Gender differences in sleep latency between low and high hopelessness individuals

Radial-Based Signal-Processing Combined With Methods of Machine Learning

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