Disease or no disease? Disagreement on diagnoses between self-reports and medical records of adult patients

References

• Merkin SS, Cavanaugh K, Longenecker JC, Fink NE, Levey AS, Powe NR. Agreement of self-reported comorbid conditions with medical and physician reports varied by disease among end-stage renal disease patients. J Clin Epidemiol. 2007;60:634–42.
   PubMedGoogle Scholar
• Iversen L, Hannaford PC, Godden DJ, Price D. Do people self- reporting information about chronic respiratory disease have corroborative evidence in their general practice medical records? A study of intermethod reliability. Prim Care Respir J. 2007;16:162–8.
   PubMedGoogle Scholar
• Ungar WJ, Coyte PC. Health services utilization reporting in respiratory patients. Pharmacy Medication Monitoring Program Advisory Board. J Clin Epidemiol. 1998;51:1335–42.
   PubMed Web of Science ®Google Scholar
• Hassey A, Gerrett D, Wilson A. A survey of validity and utility of electronic patient records in a general practice. Br Med J. 2001;322:1401–5.
   PubMed Web of Science ®Google Scholar
• Whitelaw F, Nevin SL, Milne RM, Taylor RJ, Taylor MW, Watt A. Completeness and accuracy of morbidity and repeat prescribing records held on general practice computers in Scotland. Br J Gen Pract. 1996;46:181–6.
   PubMed Web of Science ®Google Scholar
• Okura Y, Urban LH, Mahoney DW, Jacobsen SJ, Rodeheffer RJ. Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. J Clin Epidemiol. 2004;57:1096–103.
   PubMed Web of Science ®Google Scholar
• Engstad T, Bonaa KH, Viitanen M. Validity of self-reported stroke: The Tromso Study. Stroke 2000;31:1602–7.
   PubMed Web of Science ®Google Scholar
• Klungel OH, de Boer A, Paes AH, Seidell JC, Bakker A. Cardiovascular diseases and risk factors in a population-based study in The Netherlands: Agreement between questionnaire information and medical records. Neth J Med. 1999;55:177–83.
   PubMedGoogle Scholar
• Goldman N, Lin IF, Weinstein M, Lin YH. Evaluating the quality of self-reports of hypertension and diabetes. J Clin Epidemiol. 2003;56:148–54.
   PubMed Web of Science ®Google Scholar
• Malik AS, Giamouzis G, Georgiopoulou VV, Fike LV, Kalogeropoulos AP, Norton CR, et al. Patient perception versus medical record entry of health-related conditions among patients with heart failure. Am J Cardiol. 2011;107:569–72.
   PubMedGoogle Scholar
• Simpson CF, Boyd CM, Carlson MC, Griswold ME, Guralnik JM, Fried LP. Agreement between self-report of disease diag noses and medical record validation in disabled older women: Factors that modify agreement. J Am Geriatr Soc. 2004;52:123–7.
   PubMed Web of Science ®Google Scholar
• Skinner K, Miller D, Lincoln E, Lee A, Kazis L. Concordance between respondent self-reports and medical records for chronic conditions. Experience from the veterans health study. J Ambulatory Care Manage. 2005;28:102–10.
   PubMedGoogle Scholar
• Molenaar EA, Van Ameijden EJ, Grobbee DE, Numans ME. Comparison of routine care self-reported and biometrical data on hypertension and diabetes: Results of the Utrecht health project. Eur J Public Health 2007;17:199–205.
   PubMedGoogle Scholar
• Kriegsman D, Penninx B, van Eijk J, Boeke J, Deeg D. Self-reports and general practitioner information on the presence of chronic diseases in community dwelling elderly. A study on the accuracy of patients’ self-reports and on determinants of inaccuracy. J Clin Epidemiol. 1996;49:1407–17.
   PubMed Web of Science ®Google Scholar
• van den Akker M, Spigt MG, De Raeve L, van Steenkiste B, Metsemakers JF, van Voorst EJ, et al. The SMILE study: A study of medical information and lifestyles in Eindhoven, the rationale and contents of a large prospective dynamic cohort study. BMC Public Health 2008;8:19.
   PubMed Web of Science ®Google Scholar
• Lamberts H, Meads S, Wood M. Results of the international field trial with the reason for encounter classification. Soz Praventivmed. 1985;30:80–7.
   PubMedGoogle Scholar
• Lamberts H, Wood M. The birth of the International Classification of Primary Care (ICPC). Serendipity at the border of Lac Leman. Fam Pract. 2002;19:433–5.
   PubMed Web of Science ®Google Scholar
• Hoeymans N, Wong A, van Gool CH, Deeg DJ, Nusselder WJ, de Klerk MM, et al. The disabling effect of diseases: A study on trends in diseases, activity limitations, and their interrelationships. Am J Public Health 2012;102:163–70.
   PubMed Web of Science ®Google Scholar
• Hogervorst E, Boshuisen M, Riedel W, Willeken C, Jolles J. 1998 Curt P. Richter Award. The effect of hormone replacement therapy on cognitive function in elderly women. Psychoneuroendocrinology 1999;24:43–68.
   PubMed Web of Science ®Google Scholar
• Olsson I, Mykletun A, Dahl AA. The hospital anxiety and depression rating scale: A cross-sectional study of psychometrics and case finding abilities in general practice. BMC Psychiatry 2005;5:46.
   PubMed Web of Science ®Google Scholar
• Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 1992;30:473–83.
   PubMed Web of Science ®Google Scholar
• Vach W. The dependence of Cohen's kappa on the prevalence does not matter. J Clin Epidemiol. 2005;58:655–61.
   PubMed Web of Science ®Google Scholar
• Colditz GA, Martin P, Stampfer MJ, Willett WC, Sampson L, Rosner B, et al. Validation of questionnaire information on risk factors and disease outcomes in a prospective cohort study of women. Am J Epidemiol. 1986;123:894–900.
   PubMed Web of Science ®Google Scholar
• Norris SL, Nichols PJ, Caspersen CJ, Glasgow RE, Engelgau MM, Jack L, et al. Increasing diabetes self-management education in community settings. A systematic review. Am J Prev Med. 2002;22(Suppl. 4):39–66.
   PubMedGoogle Scholar