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

BMC Health Services Research

Volumn 13, Issue 1, 2013, Pages

  Hunger, Matthias ^a   Schwarzkopf, Larissa ^a   Heier, Margit ^a   Peters, Annette ^a   Holle, Rolf ^a  

^a INSTITUTE OF EPIDEMIOLOGY   (Germany)

Author keywords

Claims data; Health care utilization; Recall bias; Response bias; Self report; Survey; Validity

Indexed keywords

AGED; ARTICLE; CHRONIC DISEASE; COMPARATIVE STUDY; CONFIDENCE INTERVAL; DRUG UTILIZATION; EPIDEMIOLOGY; FEMALE; GERMANY; HEALTH CARE SURVEY; HEALTH SERVICE; HUMAN; INSURANCE; MALE; RECALL; RISK; SELF REPORT; SEX RATIO; STANDARD; STATISTICS; UTILIZATION REVIEW; VERY ELDERLY;

AGED; AGED, 80 AND OVER; BIAS (EPIDEMIOLOGY); CHRONIC DISEASE; CONFIDENCE INTERVALS; DRUG UTILIZATION; FEMALE; GERMANY; HEALTH CARE SURVEYS; HEALTH SERVICES; HUMANS; INSURANCE CLAIM REVIEW; MALE; MENTAL RECALL; ODDS RATIO; SELF REPORT; SEX DISTRIBUTION;

MLCS; MLOWN;

EID: 84871716975     PISSN: None     EISSN: 14726963     Source Type: Journal    
DOI: 10.1186/1472-6963-13-1     Document Type: Article

References (44)

1. [Demographic change and disease rates: a projection until 2050]. Peters E, Pritzkuleit R, Beske F, Katalinic A, Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2010 53 5 417 426 10.1007/s00103-010- 1050-y 20376420
2. Self-reported utilization of health care services: improving measurement and accuracy. Bhandari A, Wagner T, Med Care Res Rev 2006 63 2 217 235 10.1177/1077558705285298 16595412 (Pubitemid 43344151)
3. Consenting to health record linkage: evidence from a multi-purpose longitudinal survey of a general population. Knies G, Burton J, Sala E, BMC Health Serv Res 2012 12 52 10.1186/1472-6963-12-52 22390416
4. [Problems of buildling up and using statutory health insurance data for population-based economic evaluation studies: Experiences from KORA]. John J, Holle R, Informatik, Biometrie und Epidemiologie in Medizin und Biologie 2003 34 2 96 111
5. [Experience with the linkage of primary and secondary claims data in an intervention trial]. Swart E, Thomas D, March S, Salomon T, Knesebeck OV, Gesundheitswesen 2011 73 12 126 e132 10.1055/s-0031-1280754 21755491
6. A descriptive review of the methodologies used in household surveys on medicine utilization. Bertoldi AD, Barros AJ, Wagner A, Ross-Degnan D, Hallal PC, BMC Health Serv Res 2008 8 222 10.1186/1472-6963-8-222 18976465
7. Patient self-reports in pharmacoeconomic studies. Their use and impact on study validity. Evans C, Crawford B, Pharmacoecon 1999 15 3 241 256 10.2165/00019053-199915030-00004 (Pubitemid 29133461)
8. Representativeness in population-based studies: a detailed description of non-response in a Danish cohort study. Drivsholm T, Eplov LF, Davidsen M, Jorgensen T, Ibsen H, Hollnagel H, Borch-Johnsen K, Scand J Public Health 2006 34 6 623 631 10.1080/14034940600607616 17132596 (Pubitemid 44834978)
9. Assessment and control of nonresponse bias in a survey of medicine use by the elderly. Grotzinger KM, Stuart BC, Ahern F, Med Care 1994 32 10 989 1003 10.1097/00005650-199410000-00002 7934275
10. Prolonged recruitment efforts in health surveys: effects on response, costs, and potential bias. Holle R, Hochadel M, Reitmeir P, Meisinger C, Wichmann HE, Epidemiology 2006 17 6 639 643 10.1097/01.ede.0000239731.86975.7f 17003684 (Pubitemid 44655600)
11. Service utilization and health-care costs in the advanced elderly. Heinrich S, Luppa M, Matschinger H, Angermeyer MC, Riedel-Heller SG, Konig HH, Value Health 2008 11 4 611 620 10.1111/j.1524-4733.2007.00285.x 18179660 (Pubitemid 352032804)
12. Relation between depressed mood, somatic comorbidities and health service utilisation in older adults: results from the KORA-Age study. Lacruz ME, Emeny RT, Haefner S, Zimmermann AK, Linkohr B, Holle R, Ladwig KH, Age Ageing 2012 41 2 183 190 10.1093/ageing/afr162 22156596
13. Relationship between multimorbidity and direct healthcare costs in an advanced elderly population: Results of the PRISCUS trial. Nagl A, Witte J, Hodek JM, Greiner W, Z Gerontol Geriatr 2012 45 2 146 154 10.1007/s00391-011- 0266-2 22350393
14. Non-response and related factors in a nation-wide health survey. Korkeila K, Suominen S, Ahvenainen J, Ojanlatva A, Rautava P, Helenius H, Koskenvuo M, Eur J Epidemiol 2001 17 11 991 999 10.1023/A:1020016922473 12380710
15. Survey error in measuring socio-economic risk factors of health status: a comparison of a survey and a census. Lorant V, Demarest S, Miermans PJ, Van Oyen H, Int J Epidemiol 2007 36 6 1292 1299 10.1093/ije/dym191 17898025 (Pubitemid 350238997)
16. The effect of non-response on estimates of health care utilisation: linking health surveys and registers. Gundgaard J, Ekholm O, Hansen EH, Rasmussen NK, Eur J Public Health 2008 18 2 189 194 17984128 (Pubitemid 351398377)
17. KORA-a research platform for population based health research. Holle R, Happich M, Lowel H, Wichmann HE, Gesundheitswesen 2005 67 Suppl 1 19 S25 16032513
18. Multimorbidity and health-related quality of life in the older population: results from the German KORA-age study. Hunger M, Thorand B, Schunk M, Doring A, Menn P, Peters A, Holle R, Health Qual Life Outcomes 2011 9 53 10.1186/1477-7525-9-53 21767362
19. Mental health in the aged: prevalence, covariates and related neuroendocrine, cardiovascular and inflammatory factors of successful aging. Lacruz ME, Emeny RT, Bickel H, Cramer B, Kurz A, Bidlingmaier M, Huber D, Klug G, Peters A, Ladwig KH, BMC Med Res Methodol 2010 10 36 10.1186/1471-2288-10-36 20433701
20. Social Insurance for Long-term Care: An Evaluation of the German Model. Rothgang H, Soc Policy Adm 2010 44 4 436 460 10.1111/j.1467-9515.2010.00722.x
21. Busse R, Riesberg A, Health Care Systems in Transition: Germany Copenhagen: WHO Regional Office for Europe on behalf of the European Observatory on Health Systems and Policies 2004
22. Excess costs of dementia disorders and the role of age and gender-an analysis of German health and long-term care insurance claims data. Schwarzkopf L, Menn P, Leidl R, Wunder S, Mehlig H, Marx P, Graessel E, Holle R, BMC Health Serv Res 2012 12 165 10.1186/1472-6963-12-165 22713212
23. Bavarian Office for Statistics and Data Processing, Statistische Berichte. Pflegeeinrichtungen, ambulante sowie stationäre und Pflegegeldempfänger in Bayern. Ergebnisse der Pflegestatistik 2006 Munich 2007
24. Bavarian Office for Statistics and Data Processing, Statistische Berichte. Pflegeeinrichtungen, ambulante sowie stationäre und Pflegegeldempfänger in Bayern. Ergebnisse der Pflegestatistik 2009 Munich 2010
25. Grobe TG, Dörning H, Schwartz FW, GEK-Report ambulant-ärztliche Versorgung 2007 St. Augustin: Asgard Verlag 2007
26. Bitzer EM, Grobe TG, Dörning H, Schwartz FW, GEK-Report akut-stationäre Versorgung 2007 St. Augustin: Asgard Verlag 2007
27. Schwabe U, Paffrath D, Arzneiverordnungs-Report 2007: aktuelle Daten, Kosten, Trends und Kommentare Heidelberg: Springer 2008
28. Schwabe U, Paffrath D, Arzneiverordnungs-Report 2010: aktuelle Daten, Kosten, Trends und Kommentare Heidelberg: Springer 2010
29. Agreement between self-reported data on medicine use and prescription records vary according to method of analysis and therapeutic group. Nielsen MW, Sondergaard B, Kjoller M, Hansen EH, J Clin Epidemiol 2008 61 9 919 924 10.1016/j.jclinepi.2007.10.021 18468858
30. Comparison of health insurance claims and patient interviews in assessing drug use: data from the Three-City (3C) Study. Noize P, Bazin F, Dufouil C, Lechevallier-Michel N, Ancelin ML, Dartigues JF, Tzourio C, Moore N, Fourrier-Reglat A, Pharmacoepidemiol Drug Saf 2009 18 4 310 319 10.1002/pds.1717 19241438
31. A review of uses of health care utilization databases for epidemiologic research on therapeutics. Schneeweiss S, Avorn J, J Clin Epidemiol 2005 58 4 323 337 10.1016/j.jclinepi.2004.10.012 15862718 (Pubitemid 40601980)
32. The Pharmacy-based Cost Group model: validating and adjusting the classification of medications for chronic conditions to the Dutch situation. Lamers LM, van Vliet RC, Health Policy 2004 68 1 113 121 10.1016/j.healthpol. 2003.09.001 15033558 (Pubitemid 38373615)
33. Validation of pharmacy records in drug exposure assessment. Lau HS, de Boer A, Beuning KS, Porsius A, J Clin Epidemiol 1997 50 5 619 625 10.1016/S0895-4356(97)00040-1 9180655 (Pubitemid 27270212)
34. Self-reported diabetes is associated with self-management behaviour: a cohort study. Shah BR, Manuel DG, BMC Health Serv Res 2008 8 142 10.1186/1472-6963-8-142 18606004 (Pubitemid 352000600)
35. [Persons requiring long-term care: Recommendation and utilization of rehabilitative therapies]. Kupper-Nybelen J, Ihle P, Deetjen W, Schubert I, Z Gerontol Geriatr 2006 39 2 100 108 10.1007/s00391-006-0369-3 16622631
36. Accuracy of self-reported health services use and patterns of care among urban older adults. Wallihan DB, Stump TE, Callahan CM, Med Care 1999 37 7 662 670 10.1097/00005650-199907000-00006 10424637
37. Self-reports of health care utilization compared to provider records. Ritter PL, Stewart AL, Kaymaz H, Sobel DS, Block DA, Lorig KR, J Clin Epidemiol 2001 54 2 136 141 10.1016/S0895-4356(00)00261-4 11166528 (Pubitemid 32112371)
38. Comparison of self-reported and medical record health care utilization measures. Roberts RO, Bergstralh EJ, Schmidt L, Jacobsen SJ, J Clin Epidemiol 1996 49 9 989 995 10.1016/0895-4356(96)00143-6 8780606 (Pubitemid 26319031)
39. How accurate are self-reports? Analysis of self-reported health care utilization and absence when compared with administrative data. Short ME, Goetzel RZ, Pei X, Tabrizi MJ, Ozminkowski RJ, Gibson TB, Dejoy DM, Wilson MG, J Occup Environ Med 2009 51 7 786 796 10.1097/JOM.0b013e3181a86671 19528832
40. An analysis of physician utilization by elderly persons: systematic differences between self-report and archival information. Glandon GL, Counte MA, Tancredi D, J Gerontol 1992 47 5 245 S252 10.1093/geronj/47.5.S245 1512446
41. 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. Abbas S, Ihle P, Koster I, Schubert I, Eur J Obstet Gynecol Reprod Biol 2012 160 1 79 83 10.1016/j.ejogrb.2011.09.041 22048012
42. [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)]. Werner A, Reitmeir P, John J, Gesundheitswesen 2005 67 Suppl 1 158 S166 16032535
43. Diabetes 'epidemic' in Germany? A critical look at health insurance data sources. Hoffmann F, Icks A, Exp Clin Endocrinol Diabetes: official journal, German Society of Endocrinology [and] German Diabetes Association 2012 120 7 410 415
44. [Structural differences between health insurance funds and their impact on health services research: results from the Bertelsmann Health-Care Monitor]. Hoffmann F, Icks A, Gesundheitswesen 2012 74 5 291 297 10.1055/s-0031-1275711 21755492