Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population

[1]  E. Hansen,et al.  Agreement between self-reported data on medicine use and prescription records vary according to method of analysis and therapeutic group. , 2008, Journal of clinical epidemiology.

[2]  R. Holle,et al.  Excess costs of dementia disorders and the role of age and gender - an analysis of German health and long-term care insurance claims data , 2012, BMC Health Services Research.

[3]  P. Ihle,et al.  Prevalence and incidence of diagnosed endometriosis and risk of endometriosis in patients with endometriosis-related symptoms: findings from a statutory health insurance-based cohort in Germany. , 2012, European journal of obstetrics, gynecology, and reproductive biology.

[4]  J. Dartigues,et al.  Comparison of health insurance claims and patient interviews in assessing drug use: data from the Three‐City (3C) Study , 2009, Pharmacoepidemiology and drug safety.

[5]  P. Ihle,et al.  [Persons requiring long-term care: Recommendation and utilization of rehabilitative therapies]. , 2006, Zeitschrift fur Gerontologie und Geriatrie.

[6]  W. Greiner,et al.  Relationship between multimorbidity and direct healthcare costs in an advanced elderly population , 2012, Zeitschrift für Gerontologie und Geriatrie.

[7]  P. Reitmeir,et al.  [Switching sickness funds and risk compensation mechanisms in the statutory health insurance system in Germany--empirical results from the cooperative health research in the region of Augsburg (KORA)]. , 2005, Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)).

[8]  B. Stuart,et al.  Assessment and Control of Nonresponse Bias in a Survey of Medicine Use by the Elderly , 1994, Medical care.

[9]  Herbert Matschinger,et al.  Service utilization and health-care costs in the advanced elderly. , 2008, Value in Health.

[10]  E. Swart,et al.  [Experience with the linkage of primary and secondary claims data in an intervention trial]. , 2011, Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)).

[11]  Martin McKee,et al.  The economic consequences of non-communicable diseases and injuries in the Russian Federation. Copenhagen, WHO Regional Office for Europe on behalf of the European Observatory on Health Systems and Policies. , 2007 .

[12]  Mark G. Wilson,et al.  How Accurate are Self-Reports? Analysis of Self-Reported Health Care Utilization and Absence When Compared With Administrative Data , 2009, Journal of occupational and environmental medicine.

[13]  T. Jørgensen,et al.  Representativeness in population-based studies: A detailed description of non-response in a Danish cohort study , 2006, Scandinavian journal of public health.

[14]  C. Callahan,et al.  Accuracy of self-reported health services use and patterns of care among urban older adults. , 1999, Medical care.

[15]  U. Schwabe,et al.  Arzneiverordnungs-Report 2010 , 2010 .

[16]  J. Gundgaard,et al.  The effect of non-response on estimates of health care utilisation: linking health surveys and registers. , 2007, European journal of public health.

[17]  E. Swart,et al.  Erfahrungen mit der Datenverknüpfung von Primär- und Sekundärdaten in einer Interventionsstudie , 2011 .

[18]  A. Katalinic,et al.  Demografischer Wandel und Krankheitshäufigkeiten , 2010, Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz.

[19]  U. Schwabe,et al.  Arzneiverordnungs-Report 2007 , 2008 .

[20]  H. S. Lau,et al.  Validation of pharmacy records in drug exposure assessment. , 1997, Journal of clinical epidemiology.

[21]  A. Barros,et al.  A descriptive review of the methodologies used in household surveys on medicine utilization , 2008, BMC health services research.

[22]  C. Evans,et al.  Patient Self-Reports in Pharmacoeconomic Studies , 1999, PharmacoEconomics.

[23]  H. Rothgang.  Social Insurance for Long-term Care: An Evaluation of the German Model , 2010 .

[24]  M. Young,et al.  Health services research , 2008, Journal of General Internal Medicine.

[25]  A. Peters,et al.  Mental health in the aged: prevalence, covariates and related neuroendocrine, cardiovascular and inflammatory factors of successful aging , 2010, BMC medical research methodology.

[26]  A. Katalinic,et al.  [Demographic change and disease rates: a projection until 2050]. , 2010, Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz.

[27]  E. Bergstralh,et al.  Comparison of self-reported and medical record health care utilization measures. , 1996, Journal of clinical epidemiology.

[28]  A. Stewart,et al.  Self-reports of health care utilization compared to provider records. , 2001, Journal of clinical epidemiology.

[29]  D. Tancredi,et al.  An analysis of physician utilization by elderly persons: systematic differences between self-report and archival information. , 1992, Journal of gerontology.

[30]  P. Rautava,et al.  Non-response and related factors in a nation-wide health survey , 2004, European Journal of Epidemiology.

[31]  J. Avorn,et al.  A review of uses of health care utilization databases for epidemiologic research on therapeutics. , 2005, Journal of clinical epidemiology.

[32]  A. Icks,et al.  Unterschiede in der Versichertenstruktur von Krankenkassen und deren Auswirkungen für die Versorgungsforschung: Ergebnisse des Bertelsmann-Gesundheitsmonitors , 2012 .

[33]  R. Holle,et al.  Multimorbidity and health-related quality of life in the older population: results from the German KORA-Age study , 2011, Health and quality of life outcomes.

[34]  R Holle,et al.  KORA - A Research Platform for Population Based Health Research , 2005, Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)).

[35]  R. Holle,et al.  Relation between depressed mood, somatic comorbidities and health service utilisation in older adults: results from the KORA-Age study. , 2012, Age and ageing.

[36]  C. Evans,et al.  Patient self-reports in pharmacoeconomic studies. Their use and impact on study validity. , 1999, PharmacoEconomics.

[37]  Self-reported diabetes is associated with self-management behaviour: a cohort study , 2008, BMC health services research.

[38]  T. Wagner,et al.  Self-Reported Utilization of Health Care Services: Improving Measurement and Accuracy , 2006, Medical care research and review : MCRR.

[39]  A. Icks,et al.  [Structural differences between health insurance funds and their impact on health services research: results from the Bertelsmann Health-Care Monitor]. , 2012, Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)).

[40]  Emanuela Sala,et al.  Consenting to health record linkage: evidence from a multi-purpose longitudinal survey of a general population , 2012, BMC Health Services Research.

[41]  P. Ihle,et al.  Empfehlung rehabilitativer Maßnahmen im Rahmen der Pflegebegutachtung und Umsetzung in der ambulanten Versorgung , 2006, Zeitschrift für Gerontologie und Geriatrie.

[42]  Leida M Lamers,et al.  The Pharmacy-based Cost Group model: validating and adjusting the classification of medications for chronic conditions to the Dutch situation. , 2004, Health policy.

[43]  A. Icks,et al.  Diabetes 'epidemic' in Germany? A critical look at health insurance data sources. , 2012, Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association.

[44]  S. Demarest,et al.  Survey error in measuring socio-economic risk factors of health status: a comparison of a survey and a census. , 2007, International journal of epidemiology.

[45]  R. Holle,et al.  Prolonged Recruitment Efforts in Health Surveys: Effects on Response, Costs, and Potential Bias , 2006, Epidemiology.

[46]  Peter Reitmeir,et al.  Kassenwechsel und Risikostrukturausgleich in der gesetzlichen Krankenversicherung - empirische Befunde der Kooperativen Gesundheitsforschung in der Region Augsburg (KORA) , 2005 .