Estimating Liver Cancer Deaths in Thailand based on Verbal Autopsy Study.
Background: Liver cancer mortality is high in Thailand but utility of related vital statistics is lim-ited due to national vital registration (VR) data being under reported for specific causes of deaths. Accurate methodologies and reliable supplementary data are needed to provide worthy national vit...
| Publicado en: | Journal of Research in Health Sciences Vol. 14; no. 1; pp. 18 - 23 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Hamadan University of Medical Sciences, School of Public Health
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=95036007&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 95036007 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 22287795 903Q jtl: Journal of Research in Health Sciences issn: 22287795 maglogo: N pubinfo: dt: 2014 vid: 14 iid: 1 pid: 54266 pub: Hamadan University of Medical Sciences, School of Public Health artinfo: ui: 95036007 95036007 104050012 95036007 ppf: 18 ppct: 5 formats: fmt: @attributes: type: P tig: atl: Estimating Liver Cancer Deaths in Thailand based on Verbal Autopsy Study. aug: au: Waeto, Salwa Pipatjaturon, Nattakit Tongkumchum, Phattrawan Choonpradub, Chamnein Saelim, Rattikan Makaje, Nifatamah affil: Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Pattani Campus, Thailand sug: subj: Liver Neoplasms Mortality Autopsy Evaluation Funding Source Human Thailand Infant Child, Preschool Child Adolescence Adult Middle Age Aged Aged, 80 and Over Male Female Descriptive Statistics Confidence Intervals Sensitivity and Specificity Cluster Sample Logistic Regression P-Value Triangulation Chi Square Test ROC Curve Infant: 1-23 months Child, Preschool: 2-5 years Child: 6-12 years Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Background: Liver cancer mortality is high in Thailand but utility of related vital statistics is lim-ited due to national vital registration (VR) data being under reported for specific causes of deaths. Accurate methodologies and reliable supplementary data are needed to provide worthy national vital statistics. This study aimed to model liver cancer deaths based on verbal autopsy (VA) study in 2005 to provide more accurate estimates of liver cancer deaths than those report-ed. The results were used to estimate number of liver cancer deaths during 2000-2009. Methods: A verbal autopsy (VA) was carried out in 2005 based on a sample of 9,644 deaths from nine provinces and it provided reliable information on causes of deaths by gender, age group, location of deaths in or outside hospital, and causes of deaths of the VR database. Lo-gistic regression was used to model liver cancer deaths and other variables. The estimated probabilities from the model were applied to liver cancer deaths in the VR database, 2000-2009. Thus, the more accurately VA-estimated numbers of liver cancer deaths were obtained. Results: The model fits the data quite well with sensitivity 0.64. The confidence intervals from statistical model provide the estimates and their precisions. The VA-estimated numbers of liver cancer deaths were higher than the corresponding VR database with inflation factors 1.56 for males and 1.64 for females. Conclusion: The statistical methods used in this study can be applied to available mortality data in developing countries where their national vital registration data are of low quality and supple-mentary reliable data are available. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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