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Volumn 37, Issue 4, 2013, Pages 249-253

Concordance between self-report and a survey-based algorithm for classification of type 1 and type 2 diabetes using the 2011 population-based survey on living with chronic diseases in canada (slcdc)-diabetes component

Author keywords

Surveillance; Survey; Type 1 diabetes; Type 2 diabetes

Indexed keywords

ADULT; AGE DISTRIBUTION; AGED; AGING; ARTICLE; CANADA; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; FEMALE; HEALTH SURVEY; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; MAJOR CLINICAL STUDY; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; PREDICTIVE VALUE; SELF REPORT; SENSITIVITY AND SPECIFICITY; ALGORITHM; CHRONIC DISEASE; DIABETES MELLITUS, TYPE 1; DIABETES MELLITUS, TYPE 2; INFORMATION PROCESSING; MIDDLE AGED; PROCEDURES; REPRODUCIBILITY; STANDARDS; YOUNG ADULT;

EID: 84881227341     PISSN: 14992671     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jcjd.2013.05.007     Document Type: Article
Times cited : (9)

References (20)
  • 1
    • 84881234148 scopus 로고    scopus 로고
    • Statistics Canada. Leading causes of deaths in Canada, CANSIM Table102-0561. accessed July 5, 2013.
    • Statistics Canada. 2008. Leading causes of deaths in Canada, CANSIM Table102-0561. accessed July 5, 2013. http://www.statcan.gc.ca/tables-tableaux/sum-som/l01/cst01/hlth36a-eng.htm.
    • (2008)
  • 2
    • 84881220311 scopus 로고    scopus 로고
    • Statistics Canada. Diabetes, by sex, provinces and territories, CANSIMTable105-0501. accessed July 5, 2013.
    • Statistics Canada. 2011. Diabetes, by sex, provinces and territories, CANSIMTable105-0501. accessed July 5, 2013. http://www5.statcan.gc.ca/cansim/a05?lang=eng&id=1050501.
    • (2011)
  • 3
    • 0036515623 scopus 로고    scopus 로고
    • Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm
    • Hux J.E., Ivis F., Flintoft V., et al. Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care 2002, 25:512-516.
    • (2002) Diabetes Care , vol.25 , pp. 512-516
    • Hux, J.E.1    Ivis, F.2    Flintoft, V.3
  • 4
    • 84881253229 scopus 로고    scopus 로고
    • Public Health Agency of Canada. Diabetes in Canada: facts and figures from a public health perspective. Ottawa. accessed July 5, 2013.
    • Public Health Agency of Canada. 2011. Diabetes in Canada: facts and figures from a public health perspective. Ottawa. accessed July 5, 2013. http://www.phac-aspc.gc.ca/cd-mc/publications/diabetes-diabete/facts-figures-faits-chiffres-2011/.
    • (2011)
  • 5
    • 77954438225 scopus 로고    scopus 로고
    • Validation of a health administrative data algorithm for assessing the epidemiology of diabetes in Canadian children
    • Guttmann A., Nakhla M., Henderson M., et al. Validation of a health administrative data algorithm for assessing the epidemiology of diabetes in Canadian children. Pediatr Diabetes 2010, 11:122-128.
    • (2010) Pediatr Diabetes , vol.11 , pp. 122-128
    • Guttmann, A.1    Nakhla, M.2    Henderson, M.3
  • 6
    • 84881223546 scopus 로고    scopus 로고
    • Statistics Canada. Canadian Community Health Survey-Annual Component (CCHS). Accessed February 22, 2012.
    • Statistics Canada. 2012. Canadian Community Health Survey-Annual Component (CCHS). Accessed February 22, 2012. http://www.statcan.gc.ca/cgi-bin/imdb/p2SV.pl%3fFunction%3dgetSurvey%26SDDS%3d3226%26lang%3den%26db%3dimdb%26adm%3d8%26dis%3d2.
    • (2012)
  • 7
    • 51649117125 scopus 로고    scopus 로고
    • An algorithm to differentiate diabetic respondents in the Canadian Community Health Survey.
    • Ng E., Dasgupta K., Johnson J. An algorithm to differentiate diabetic respondents in the Canadian Community Health Survey. Health Rep 2008, 19:71-79.
    • (2008) Health Rep , vol.19 , pp. 71-79
    • Ng, E.1    Dasgupta, K.2    Johnson, J.3
  • 8
    • 84881235663 scopus 로고    scopus 로고
    • Statistics Canada. Canadian Community Health Survey (CCHS)-cycle 1.1. Accessed February 22, 2012.
    • Statistics Canada. 2009. Canadian Community Health Survey (CCHS)-cycle 1.1. Accessed February 22, 2012. http://www.statcan.gc.ca/concepts/health-sante/index-eng.htm.
    • (2009)
  • 9
    • 33748061986 scopus 로고    scopus 로고
    • Understanding the determinants of health for people with type 2 diabetes
    • Maddigan S.L., Feeny D.H., Majumdar S.R., et al. Understanding the determinants of health for people with type 2 diabetes. Am J Public Health 2006, 96:1649-1655.
    • (2006) Am J Public Health , vol.96 , pp. 1649-1655
    • Maddigan, S.L.1    Feeny, D.H.2    Majumdar, S.R.3
  • 10
    • 84881238767 scopus 로고    scopus 로고
    • Statistics Canada. Survey on living with chronic diseases in Canada-user guide. Accessed February 5, 2012.
    • Statistics Canada. 2011. Survey on living with chronic diseases in Canada-user guide. Accessed February 5, 2012. http://www.statcan.gc.ca/imdb-bmdi/document/5160_D4_T1_V2-eng.pdf.
    • (2011)
  • 11
    • 84881262451 scopus 로고    scopus 로고
    • Statistics Canada. Survey on Living with Chronic Diseases in Canada (SLCDC)-diabetes component (questionnaire). Accessed: May 13, 2012.
    • Statistics Canada. 2011. Survey on Living with Chronic Diseases in Canada (SLCDC)-diabetes component (questionnaire). Accessed: May 13, 2012. http://www23.statcan.gc.ca:81/imdb-bmdi/instrument/5160_Q5_V1-eng.pdf.
    • (2011)
  • 12
    • 0017360990 scopus 로고
    • The measurement of observer agreement for categorical data
    • Landis J.R., Koch G.G. The measurement of observer agreement for categorical data. Biometrics 1977, 33:159-174.
    • (1977) Biometrics , vol.33 , pp. 159-174
    • Landis, J.R.1    Koch, G.G.2
  • 13
    • 80054692680 scopus 로고    scopus 로고
    • Etiological approach to characterization of diabetes type: the SEARCH for Diabetes in Youth Study
    • Dabelea D., Pihoker C., Talton J.W., et al. Etiological approach to characterization of diabetes type: the SEARCH for Diabetes in Youth Study. Diabetes Care 2011, 34:1628-1633.
    • (2011) Diabetes Care , vol.34 , pp. 1628-1633
    • Dabelea, D.1    Pihoker, C.2    Talton, J.W.3
  • 14
    • 84860321867 scopus 로고    scopus 로고
    • Validation of classification algorithms for childhood diabetes identified from administrative data
    • Vanderloo S.E., Johnson J.A., Reimer K., et al. Validation of classification algorithms for childhood diabetes identified from administrative data. Pediatr Diabetes 2012, 13:229-234.
    • (2012) Pediatr Diabetes , vol.13 , pp. 229-234
    • Vanderloo, S.E.1    Johnson, J.A.2    Reimer, K.3
  • 15
    • 0031226474 scopus 로고    scopus 로고
    • Estimating the burden of disease. Comparing administrative data and self-reports
    • Robinson J.R., Young T.K., Roos L.L., et al. Estimating the burden of disease. Comparing administrative data and self-reports. Med Care 1997, 35:932-947.
    • (1997) Med Care , vol.35 , pp. 932-947
    • Robinson, J.R.1    Young, T.K.2    Roos, L.L.3
  • 16
    • 0002179023 scopus 로고
    • Respondent burden: a test of some common assumptions
    • Sharp L.M., Frankel J. Respondent burden: a test of some common assumptions. Public Opin Q 1983, 47:36-53.
    • (1983) Public Opin Q , vol.47 , pp. 36-53
    • Sharp, L.M.1    Frankel, J.2
  • 17
    • 16444372706 scopus 로고    scopus 로고
    • Concordance between respondent self-reports and medical records for chronic conditions: experience from the Veterans Health Study
    • Skinner K.M., Miller D.R., Lincoln E., et al. Concordance between respondent self-reports and medical records for chronic conditions: experience from the Veterans Health Study. JAmbul Care Manage 2005, 28:102-110.
    • (2005) JAmbul Care Manage , vol.28 , pp. 102-110
    • Skinner, K.M.1    Miller, D.R.2    Lincoln, E.3
  • 18
    • 7444246097 scopus 로고    scopus 로고
    • Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure
    • Okura Y., Urban L.H., Mahoney D.W., et al. Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. JClin Epidemiol 2004, 57:1096-1103.
    • (2004) JClin Epidemiol , vol.57 , pp. 1096-1103
    • Okura, Y.1    Urban, L.H.2    Mahoney, D.W.3
  • 19
    • 84881261547 scopus 로고    scopus 로고
    • Statistics Canada. Survey on Living with Chronic Diseases in Canada (SLCDC)-detailed information for 2011 (diabetes and respiratory conditions) (2011). Accessed February 20
    • Statistics Canada. Survey on Living with Chronic Diseases in Canada (SLCDC)-detailed information for 2011 (diabetes and respiratory conditions) (2011). Accessed February 20, 2012. http://www.statcan.gc.ca/cgi-bin/imdb/p2SV.pl%3fFunction%3dgetSurvey%26SDDS%3d5160%26lang%3den%26db%3dimdb%26adm%3d8%26dis%3d2.
    • (2012)
  • 20
    • 0034839677 scopus 로고    scopus 로고
    • The development of the National Diabetes Surveillance System (NDSS) in Canada
    • Clottey C., Mo F., LeBrun B., et al. The development of the National Diabetes Surveillance System (NDSS) in Canada. Chronic Dis Can 2001, 22:67-69.
    • (2001) Chronic Dis Can , vol.22 , pp. 67-69
    • Clottey, C.1    Mo, F.2    LeBrun, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.