IDEAS home Printed from https://ideas.repec.org/p/mcm/sedapp/81.html
   My bibliography  Save this paper

Agreement between Self-Reported and Routinely Collected Health Care Utilisation Data among Seniors

Author

Listed:
  • Parminder Raina
  • Vicki Torrance-Rynard
  • Micheline Wong
  • Christel Woodward

Abstract

Objective: To examine the agreement between self-reported and routinely collected administrative health care utilisation data, and the factors associated with agreement between these two data sources. Data Sources/Study Setting: A representative sample of seniors living in an Ontario county within Canada was identified using the Ontario Ministry of Health’s Registered Persons Data Base in 1992. Health professional billing information and hospitalisation data were obtained from the Ontario Ministry of Health and Long-Term Care (OMH) and the Ontario Health Insurance Plan (OHIP). Principal Findings: Substantial to almost perfect agreement was found for the contact utilisation measures, while agreement on volume utilisation measures varied from poor to almost perfect. In surveys, seniors overreported contact with general practitioner and physiotherapists or chiropractors, and underreported contact with other medical specialists. Seniors also underreported the number of contacts with general practitioners and other medical specialists. The odds of agreement decreased if respondents were male, aged 75 years and older, had incomes of less than $25,000, had poor/fair/good self-assessed health status, or had two or more chronic conditions. Conclusion: The findings of this study indicate that there are substantial discrepancies between self-reported and administrative data among older adults. Researchers seeking to examine health care use among older adults need to consider these discrepancies in the interpretation of their results. Failure to recognize these discrepancies between survey and administrative data among older adults may lead to the establishment of inappropriate health care policies.

Suggested Citation

  • Parminder Raina & Vicki Torrance-Rynard & Micheline Wong & Christel Woodward, 2002. "Agreement between Self-Reported and Routinely Collected Health Care Utilisation Data among Seniors," Social and Economic Dimensions of an Aging Population Research Papers 81, McMaster University.
    • Handle: RePEc:mcm:sedapp:81
    as

    Download full text from publisher

    File URL: http://socserv.mcmaster.ca/sedap/p/sedap81.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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, American Public Health Association, vol. 79(11), pages 1554-1556.
    2. Roos, N.P. & Havens, B., 1991. "Predictors of successful aging: A twelve-year study of Manitoba elderly," American Journal of Public Health, American Public Health Association, vol. 81(1), pages 63-68.
    3. Mackenbach, J.P. & Looman, C.W.N. & Van Der Meer, J.B.W., 1996. "Differences in the misreporting of chronic conditions, by level of education: The effect on inequalities in prevalence rates," American Journal of Public Health, American Public Health Association, vol. 86(5), pages 706-711.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Neil J. Buckley & Frank T. Denton & A. Leslie Robb & Byron G. Spencer, 2006. "Socio-economic Influences on the Health of Older Canadians: Estimates Based on Two Longitudinal Surveys," Canadian Public Policy, University of Toronto Press, vol. 32(1), pages 59-84, March.
    2. Yang Zhao & Lin Zhang & Yu Fu & Minyu Wang & Luwen Zhang, 2020. "Socioeconomic Disparities in Cancer Treatment, Service Utilization and Catastrophic Health Expenditure in China: A Cross-Sectional Analysis," IJERPH, MDPI, vol. 17(4), pages 1-13, February.
    3. Buckley, Neil J. & Denton, Frank T. & Leslie Robb, A. & Spencer, Byron G., 2004. "The transition from good to poor health: an econometric study of the older population," Journal of Health Economics, Elsevier, vol. 23(5), pages 1013-1034, September.
    4. Lebrun, Lydie A., 2012. "Effects of length of stay and language proficiency on health care experiences among Immigrants in Canada and the United States," Social Science & Medicine, Elsevier, vol. 74(7), pages 1062-1072.
    5. Marlies T van Dalen & Jacqueline J Suijker & Janet MacNeil-Vroomen & Marjon van Rijn & Eric P Moll van Charante & Sophia E de Rooij & Bianca M Buurman, 2014. "Self-Report of Healthcare Utilization among Community-Dwelling Older Persons: A Prospective Cohort Study," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-11, April.
    6. Maria Iannario & Anna Clara Monti, 2023. "Generalized residuals and outlier detection for ordinal data with challenging data structures," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1197-1216, October.
    7. John Tayu Lee & Fozia Hamid & Sanghamitra Pati & Rifat Atun & Christopher Millett, 2015. "Impact of Noncommunicable Disease Multimorbidity on Healthcare Utilisation and Out-Of-Pocket Expenditures in Middle-Income Countries: Cross Sectional Analysis," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-18, July.
    8. Lemieux, Ashley J. & Roy, Laurence & Martin, Michael S. & Latimer, Eric A. & Crocker, Anne G., 2017. "Justice involvement among homeless individuals with mental illnesses: Are self-report and administrative measures comparable?," Evaluation and Program Planning, Elsevier, vol. 61(C), pages 86-95.
    9. Hendrik Jürges & Vincent Pohl, 2012. "Medical guidelines, physician density, and quality of care: evidence from German SHARE data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 635-649, October.
    10. Emma Wallace & Frank Moriarty & Christine McGarrigle & Susan M Smith & Rose-Anne Kenny & Tom Fahey, 2018. "Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: Comparison of two prospective cohort studies," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-13, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Albarrán, Pedro & Hidalgo-Hidalgo, Marisa & Iturbe-Ormaetxe, Iñigo, 2020. "Education and adult health: Is there a causal effect?," Social Science & Medicine, Elsevier, vol. 249(C).
    2. repec:dau:papers:123456789/13753 is not listed on IDEAS
    3. Orfila, Francesc & Ferrer, Montserrat & Lamarca, Rosa & Tebe, Cristian & Domingo-Salvany, Antonia & Alonso, Jordi, 2006. "Gender differences in health-related quality of life among the elderly: The role of objective functional capacity and chronic conditions," Social Science & Medicine, Elsevier, vol. 63(9), pages 2367-2380, November.
    4. David M. Wright & Michael Rosato & Dermot O’Reilly, 2017. "Which long-term illnesses do patients find most limiting? A census-based cross-sectional study of 340,000 people," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(8), pages 939-947, November.
    5. Datta Gupta, Nabanita & Jürges, Hendrik, 2012. "Do workers underreport morbidity? The accuracy of self-reports of chronic conditions," Social Science & Medicine, Elsevier, vol. 75(9), pages 1589-1594.
    6. Florence Jusot & Sabine Mage & Marta Menendez, 2014. "Inequality of Opportunity in Health in Indonesia," Working Papers DT/2014/06, DIAL (Développement, Institutions et Mondialisation).
    7. Laudicella, Mauro & Cookson, Richard & Jones, Andrew M. & Rice, Nigel, 2009. "Health care deprivation profiles in the measurement of inequality and inequity: An application to GP fundholding in the English NHS," Journal of Health Economics, Elsevier, vol. 28(6), pages 1048-1061, December.
    8. David Johnston & Carol Propper & Stephen Pudney & Michael Shields, 2014. "Child Mental Health And Educational Attainment: Multiple Observers And The Measurement Error Problem," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(6), pages 880-900, September.
    9. Johnston, David W. & Propper, Carol & Shields, Michael A., 2009. "Comparing subjective and objective measures of health: Evidence from hypertension for the income/health gradient," Journal of Health Economics, Elsevier, vol. 28(3), pages 540-552, May.
    10. repec:dau:papers:123456789/7004 is not listed on IDEAS
    11. Christopher Harrison & Joan Henderson & Graeme Miller & Helena Britt, 2017. "The prevalence of diagnosed chronic conditions and multimorbidity in Australia: A method for estimating population prevalence from general practice patient encounter data," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-13, March.
    12. William N. Evans & Craig L. Garthwaite, 2014. "Giving Mom a Break: The Impact of Higher EITC Payments on Maternal Health," American Economic Journal: Economic Policy, American Economic Association, vol. 6(2), pages 258-290, May.
    13. Nickolas H. Lambrou & Carey E. Gleason & Juno Obedin-Maliver & Mitchell R. Lunn & Annesa Flentje & Micah E. Lubensky & Jason D. Flatt, 2022. "Subjective Cognitive Decline Associated with Discrimination in Medical Settings among Transgender and Nonbinary Older Adults," IJERPH, MDPI, vol. 19(15), pages 1-11, July.
    14. Irina Kislaya & Julian Perelman & Hanna Tolonen & Baltazar Nunes, 2019. "Do self-reported data accurately measure health inequalities in risk factors for cardiovascular disease?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(5), pages 721-729, June.
    15. Anna Choi & John Cawley, 2018. "Health disparities across education: The role of differential reporting error," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 1-29, March.
    16. Slade, Alexander N., 2012. "Health investment decisions in response to diabetes information in older Americans," Journal of Health Economics, Elsevier, vol. 31(3), pages 502-520.
    17. Guallar-Castillón, Pilar & Redondo Sendino, Áurea & Banegas, José R. & López-García, Esther & Rodríguez-Artalejo, Fernando, 2005. "Differences in quality of life between women and men in the older population of Spain," Social Science & Medicine, Elsevier, vol. 60(6), pages 1229-1240, March.
    18. Christian Salas, 2002. "On the empirical association between poor health and low socioeconomic status at old age," Health Economics, John Wiley & Sons, Ltd., vol. 11(3), pages 207-220, April.
    19. James Smith, 2009. "Reconstructing childhood health histories," Demography, Springer;Population Association of America (PAA), pages 387-403.
    20. Klabbers, Gonnie & Bosma, Hans & Van Lenthe, Frank J. & Kempen, Gertrudis I. & Van Eijk, Jacques T. & Mackenbach, Johan P., 2009. "The relative contributions of hostility and depressive symptoms to the income gradient in hospital-based incidence of ischaemic heart disease: 12-Year follow-up findings from the GLOBE study," Social Science & Medicine, Elsevier, vol. 69(8), pages 1272-1280, October.
    21. Masood A. Badri & Guang Yang & Mugheer Al Khaili & Muna Al Bahar & Asma Al Rashdi & Layla Al Hyas, 2021. "Hierarchical Regression of Wellbeing and Self-Rated Health among Older Adults in Abu Dhabi," IJERPH, MDPI, vol. 18(15), pages 1-12, July.
    22. Menglian Wu & Yang Yang & Dan Zhang & Yaoyao Sun & Hui Xie & Jie Zhang & Jihui Jia & Yonggang Su, 2017. "Prevalence and related factors of successful aging among Chinese rural elders living in nursing homes," European Journal of Ageing, Springer, vol. 14(4), pages 419-428, December.

    More about this item

    Keywords

    health services utilisation; seniors; self-reports; agreement; billing data;
    All these keywords.

    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mcm:sedapp:81. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/demcmca.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.