Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-27T08:26:40.120Z Has data issue: false hasContentIssue false

Concordance between Self-Reported and Physician-Reported Chronic Co-morbidity among Disabled Older Adults

Published online by Cambridge University Press:  06 August 2013

Esther Iecovich*
Affiliation:
Department of Public Health, Ben-Gurion University of the Negev, Israel
Aya Biderman
Affiliation:
Department of Family Medicine, Ben-Gurion University of the Negev, Israel
*
Correspondence and requests for offprints should be sent to / La correspondance et les demandes de tirés-à-part doivent être adressées à: Esther Iecovich, Ph.D. Department of Public Health Faculty of Health Sciences Ben-Gurion University of the Negev Beer-Sheva 84105, Israel ([email protected])

Abstract

Discordance between self-reports and medical records reflects patient and provider factors that have implications for management and research. This study investigated discordance and socio-demographic factors that explain concordance. A purposive sample of 402 disabled older persons was interviewed using a structured questionnaire. The highest concordances were found for diabetes, cardiovascular accident (CVA), and cancer while the lowest were evident for arthritis, and renal and gastrointestinal conditions. Significant explanatory factors included (a) age for explaining concordance in hypertension; (b) ethnicity in explaining concordance in arthritis and cancer; (c) marital status in explaining concordance in thyroid diseases; (d) education in explaining concordance in gastrointestinal conditions; and (e) functional status in explaining concordance in respiratory, gastrointestinal, and thyroid diseases. Co-morbidity increased concordance for all health conditions and decreased concordance for hypertension. Further investigation is needed to examine the reasons for the disparities between the two sources of information.

Résumé

La discordance entre les auto-rapports et les dossiers médicaux reflètent des éléments concernant les patients et les prestataires qui ont des implications pour la recherche et la gestion. Cette étude a examiné la discordance et les facteurs socio-démographiques qui expliquent la concordance. Un échantillon téléologique de 402 personnes âgées handicapées a été interrogés à l’aide d’un questionnaire structuré. On a trouvé les concordances les plus hauts pour le diabète, l’accident cardiovasculaire (CVA), et le cancer, et les plus bas pour l’arthrite, et les conditions rénales et digestives. Les facteurs explicatifs importants inclurent: (a) l’âge dans l’explication de la concordance dans l’hypertension; (b) l’ethnicité en expliquant la concordance dans l’arthrite et le cancer; (c) la situation de famille en expliquant la concordance dans les maladies de la thyroïde; (d) l’éducation pour expliquer la concordance dans les conditions gastro-intestinales, et (e) l’état fonctionnel en expliquant la concordance dans maladies respiratoires, gastro-intestinales et thyroïdiennes. La comorbidité a accrue la concordance dans toutes les conditions de santé, et a diminué la concordance pour l’hypertension. Une enquête plus poussée est nécessaire pour examiner la cause des disparités entre les deux sources d’information.

Type
Articles
Copyright
Copyright © Canadian Association on Gerontology 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adelman, R. D., Greene, M. G., & Ory, M. G. (2000). Communication between older patients and their physicians. Clinics in Geriatric Medicine, 16(1), 117.Google Scholar
Bendelak, J. (2011). Membership in sick fund 2010. Jerusalem: National Insurance Institute-Administration of Research and Planning. Retrieved 15 October 2011 fromhttp://www.btl.gov.il/Publications/survey/Documents/seker_233.pdf.Google Scholar
Bergmann, M. M., Byers, T., Freedman, D. S., & Mokdad, A. (1998). Validity of self-reported diagnoses leading to hospitalization: A comparison of self-reports with hospital records in a prospective study of American adults. American Journal of Epidemiology, 147(10), 969977.Google Scholar
Bowlin, S. J., Morrill, B. D., Nafziger, A. N., Jenkins, P. L., Lewis, C., & Pearson, T. A. (1993). Validity of cardiovascular disease risk factors assessed by telephone survey: The Behavioral Risk Factor Survey. Journal of Clinical Epidemiology, 46(6), 561571.Google Scholar
Bush, T. L., Miller, S. R., Golden, A. L. & Hale, W. E. (1989). Self-report and medical record report agreement of selected medical conditions in the elderly. American Journal of Public Health, 79(11), 15541556.Google Scholar
Chaterrji, P., Joo, H., & Lahiri, K. (2010). Beware of unawareness: Racial/ethnic disparities in awareness of chronic diseases. National Bureau of Economic Research, Cambridge, MA, Working Paper 16578. Retrieved 1 July 2011 fromhttp://www.nber.org/papers/w16578.Google Scholar
Corser, W., Sikorskii, A., Olumo, A., Stommel, M., Proden, C., & Holmes-Rovner, M. (2008). Concordance between comorbidity data from patient self-report interviews and medical record documentation. BMC Health Service Research, 8, 85.Google Scholar
El Fakiri, F., Bruijnzeels, M. A., & Hoes, A. W., (2007). No evidence for marked ethnic differences in accuracy of self-reported diabetes, hypertension, and hypercholesterolemia. Journal of Clinical Epidemiology, 60(12), 12711279.Google Scholar
Fillenbaum, G. G. (1985). Screening the elderly. A brief instrumental activities of daily living measure. Journal of American Geriatric Society, 33, 689706.Google Scholar
Folstein, M., Folstein, S., & McHugh, P. (1975). Mini-Mental State. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychological Research, 12(3), 189198.Google Scholar
Goldman, N., Lin, I. F., Weinstein, M., & Lin, Y. H. (2003). Evaluating the quality of self-reports of hypertension and diabetes. Journal of Clinical Epidemiology, 56(2), 148154. doi: org/10.1016/S0895-4356(02)00580-2.Google Scholar
Gross, R.Bentur, N., Alhayany, A., Sherf, M., & Epstein, L. (1996). The validity of self-reports on chronic disease: Characteristics of underreporters and implications for the planning of services. Public Health Reviews, 24(2), 167182.Google Scholar
Gupta, V., Gu, K., Chen, Z., Lu, W., Shu, O., & Ying Zheng, Y. (2011). Concordance of self-reported and medical chart information on cancer diagnosis and treatment. BMC Medical Research Methodology, 11, 72. doi: 10.1186/1471-2288-11-72.Google Scholar
Hong, T. B., Oddone, E. Z., Dudley, T. K., & Bosworth, H. B. (2005). Subjective and objective evaluations of health among middle-aged and older veterans with hypertension. Journal of Aging and Health, 17(5), 592608.Google Scholar
Huerta, J. M., Tormo, M. J., Egea-Caparrós, J. M., Juan B Ortolá-Devesa, J. B., & Navarro, C. (2009). Accuracy of self-reported diabetes, hypertension and hyperlipidemia in the adult Spanish population. DINO study findings. Revista Española Cardiología, 62(2), 143152.Google Scholar
Johansson, J., Hellenius, M. L., Elofsson, S., & Krakau, I. (1999). Self-report as a selection instrument in screening for cardiovascular disease risk. American Journal of Preventive Medicine, 16(4), 322324.Google Scholar
Katz, S., Downs, T. D., Cash, H. R., & Grotz, R. C. (1970). Progress in development of the index of ADL. The Gerontologist, 10, 2030.CrossRefGoogle ScholarPubMed
Kjvinen, P., Halonen, P., Eronen, M., & Nissinen, A. (1998). Self-rated health, physician-rated health and associated factors among elderly men: The Finnish cohorts of the seven countries study. Age and Ageing, 27, 4147.Google Scholar
Kriegsman, D. M., Penninx, B. W., van Eijk, , , J. T., Boeke, A. J., & Deeg, D. J. (1996). 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. Journal of Clinical Epidemiology, 49(12), 14071417.Google Scholar
McCorkle, R., & Quint-Benoliel, J. (1983). Symptom distress, current concerns and mood disturbance after diagnosis of life-threatening disease. Social Science & Medicine, 17(7), 431438.Google Scholar
Mentz, G., Schulz, A. J., Mukherjee, B., Ragunathan, T. E., White-Perkins, D., & Israel, B. (2012). Hypertension: Development of a prediction model to adjust self-reported hypertension prevalence at the community level. BMC Central Health Services Research, 12, 312. Retrieved from http://www.biomedcentral.com/1472-6963/12/312.Google Scholar
Modan, B., Fuchs, Z., Blumstien, T., Chetrit, A., Lusky, A., Novikov, I., et al. (2002). Aging in Israel: Baseline data from the cross-sectional and longitudinal aging study (CALAS). Tel Hashomer, Israel: The Department of Clinical Epidemiology, Chaim Sheba Medical Center.Google Scholar
Natarajan, S., Lipsitz, S. R., & Nietert, P. J. (2002). Self-report of high cholesterol: Determinants of validity in US adults. American Journal of Preventive Medicine, 23(1), 1321.Google Scholar
Okura, Y., Urban, L. H., Mahoney, D. W., Jacobsen, S. J., & Rodeheffer, R. J. (2004). Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. Journal of Clinical Epidemiology, 57(10), 10961103.CrossRefGoogle Scholar
Osler, M., & Schroll, M. (1992). Differences between participants and non-participants in a population study on nutrition and health of the elderly. European Journal of Clinical Nutrition, 46(4), 189195.Google Scholar
Paganini-Hill, A., & Chao, A. (1993). Accuracy of recall of hip fracture, heart attack, and cancer: A comparison of postal survey data and medical records. American Journal of Epidemiology, 138(2), 101106.Google Scholar
Reijneveld, S. A. (2000). The cross-cultural validity of self-reported use of health care: A comparison of survey and registration data. Journal of Clinical Epidemiology, 53(3), 267272.Google Scholar
Simpson, C. F., Boyd, C. M., Carlson, M. C., Griswold, M. E., Guralnik, J. M. & Fried, L. P. (2004). Agreement between self-report of disease diagnoses and medical record validation in disabled older women: Factors that modify agreement. Journal of the American Geriatrics Society, 52(1), 123127.Google Scholar
Skinner, K. M., Miller, D. R., Lincoln, E., Lee, A., & Kazis, L. E. (2005). Concordance between respondent self-reports and medical records for chronic conditions: Experience from the Veterans Health Study. The Journal of Ambulatory Care Management, 28(2), 102110.CrossRefGoogle ScholarPubMed
St. Sauver, J. L., Hagen, P. T., Cha, S. S., Bagniewski, S. M., Mandrekar, J. N., Curoe, A. M., et al. (2005). Agreement between patient reports of cardiovascular disease and patient medical records. Mayo Clinic Proceedings, 80(2), 203210.Google Scholar
Tisnado, D. M., Adams, J. L., Liu, H., Damberg, C. L., Chen, W. P., Hu, F. A., et al. (2006). What is the concordance between the medical record and patient self-report as data sources for ambulatory care? Medical Care, 44, 132140.Google Scholar
van Wieringen, J. C., Harmsen, J. A., & Bruijnzeels, M. A. (2002). Intercultural communication in general practice. European Journal of Public Health, 12(1), 6368.Google Scholar
Vargas, C. M., Burt, V. L., Gillum, R. F., & Pamuk, E. R. (1997). Validity of self-reported hypertension in the National Health and Nutrition Examination Survey III, 1988–1991. Preventive Medicine, 26(5), 678685. doi: org/10.1006/pmed.1997.0190.Google Scholar
World Health Organization. (WHO) (2007). International statistical classification of diseases and related health problems 9th revision. Retrieved from 22 July 2011http://apps.who.int/classifications/apps/icd/icd10online.Google Scholar