IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v138y2015icp152-160.html
   My bibliography  Save this article

Health systems' responsiveness and reporting behaviour: Multilevel analysis of the influence of individual-level factors in 64 countries

Author

Listed:
  • Valentine, Nicole
  • Verdes-Tennant, Emese
  • Bonsel, Gouke

Abstract

Health systems' responsiveness encompasses attributes of health system encounters valued by people and measured from the user's perspective in eight domains: dignity, autonomy, confidentiality, communication, prompt attention, social support, quality of basic amenities and choice. The literature advocates for adjusting responsiveness measures for reporting behaviour heterogeneity, which refers to differential use of the response scale by survey respondents. Reporting behaviour heterogeneity between individual respondents compromises comparability between countries and population subgroups. It can be studied through analysing responses to pre-defined vignettes – hypothetical scenarios recounting a third person's experience in a health care setting. This paper describes the first comprehensive approach to studying reporting behaviour heterogeneity using vignettes. Individual-level variables affecting reporting behaviour are grouped into three categories: (1) sociodemographic, (2) health-related and (3) health value system. We use cross-sectional data from 150 000 respondents in 64 countries from the World Health Organization's World Health Survey (2002–03). Our approach classifies effect patterns for the scale as a whole, in terms of strength and in relation to the domains. For the final eight variables selected (sex; age; education; marital status; use of inpatient services; perceived health (own); caring for close family or friends with a chronic illness; the importance of responsiveness), the strongest effects were present for education, health, caring for friends or relatives with chronic health conditions, and the importance of responsiveness. Patterns of scale elongation or contraction were more common than uniform scale shifts and were usually constant for a particular factor across domains. The dependency of individual-level reporting behaviour heterogeneity on country is greatest for prompt attention, quality of basic amenities and confidentiality domains.

Suggested Citation

  • Valentine, Nicole & Verdes-Tennant, Emese & Bonsel, Gouke, 2015. "Health systems' responsiveness and reporting behaviour: Multilevel analysis of the influence of individual-level factors in 64 countries," Social Science & Medicine, Elsevier, vol. 138(C), pages 152-160.
    • Handle: RePEc:eee:socmed:v:138:y:2015:i:c:p:152-160
    DOI: 10.1016/j.socscimed.2015.04.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953615002518
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2015.04.022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nigel Rice & Silvana Robone & Peter Smith, 2011. "Analysis of the validity of the vignette approach to correct for heterogeneity in reporting health system responsiveness," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(2), pages 141-162, April.
    2. Guillermina Jasso, 2006. "Factorial Survey Methods for Studying Beliefs and Judgments," Sociological Methods & Research, , vol. 34(3), pages 334-423, February.
    3. Nigel Rice & Silvana Robone & Peter C. Smith, 2012. "Vignettes and health systems responsiveness in cross‐country comparative analyses," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 337-369, April.
    4. repec:cup:apsrev:v:98:y:2004:i:01:p:191-207_00 is not listed on IDEAS
    5. Nicolas Sirven & Brigitte Santos-Eggimann & Jacques Spagnoli, 2012. "Comparability of Health Care Responsiveness in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(2), pages 255-271, January.
    6. Renske Kok & Mauricio Avendano & Teresa Bago d’Uva & Johan Mackenbach, 2012. "Can Reporting Heterogeneity Explain Differences in Depressive Symptoms Across Europe?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(2), pages 191-210, January.
    7. Rabe-Hesketh, Sophia & Skrondal, Anders & Pickles, Andrew, 2005. "Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects," Journal of Econometrics, Elsevier, vol. 128(2), pages 301-323, October.
    8. Lindeboom, Maarten & van Doorslaer, Eddy, 2004. "Cut-point shift and index shift in self-reported health," Journal of Health Economics, Elsevier, vol. 23(6), pages 1083-1099, November.
    9. Franco Peracchi & Claudio Rossetti, 2012. "Heterogeneity in health responses and anchoring vignettes," Empirical Economics, Springer, vol. 42(2), pages 513-538, April.
    10. Sophia Rabe-Hesketh & Anders Skrondal, 2012. "Multilevel and Longitudinal Modeling Using Stata, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number mimus2, March.
    11. Hendrik Jürges & Arthur Soest, 2012. "Comparing the Well-Being of Older Europeans: Introduction," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(2), pages 187-190, January.
    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. Raskina, Yulia & Podkorytova, Olga & Kuchakov, Ruslan, 2022. "Health determinants and the reporting heterogeneity bias in Russia: Anchoring vignettes approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 118-143.
    2. Gianluca Fiorentini & Silvana Robone & Rossella Verzulli, 2018. "How do hospital‐specialty characteristics influence health system responsiveness? An empirical evaluation of in‐patient care in the Italian region of Emilia‐Romagna," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 266-281, February.
    3. M. F. Janssen & A. Szende & J. Cabases & J. M. Ramos-Goñi & G. Vilagut & H. H. König, 2019. "Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(2), pages 205-216, March.

    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. William H. Greene & Mark N. Harris & Rachel J. Knott & Nigel Rice, 2021. "Specification and testing of hierarchical ordered response models with anchoring vignettes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 31-64, January.
    2. Bertoni, Marco, 2015. "Hungry today, unhappy tomorrow? Childhood hunger and subjective wellbeing later in life," Journal of Health Economics, Elsevier, vol. 40(C), pages 40-53.
    3. Laura Rossouw & Teresa Bago d'Uva & Eddy van Doorslaer, 2017. "Poor Health Reporting? Using Vignettes to Recover the Health Gradient by Wealth," Tinbergen Institute Discussion Papers 17-031/V, Tinbergen Institute.
    4. Gianluca Fiorentini & Silvana Robone & Rossella Verzulli, 2018. "How do hospital‐specialty characteristics influence health system responsiveness? An empirical evaluation of in‐patient care in the Italian region of Emilia‐Romagna," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 266-281, February.
    5. Andrew M. Jones; Nigel Rice, Silvana Robone; & Nigel Rice; & Silvana Robone:, 2012. "A comparison of parametric and non-parametric adjustments using vignettes for self-reported data," Health, Econometrics and Data Group (HEDG) Working Papers 12/10, HEDG, c/o Department of Economics, University of York.
    6. Yeojin Chung & Sophia Rabe-Hesketh & Vincent Dorie & Andrew Gelman & Jingchen Liu, 2013. "A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 685-709, October.
    7. Sun-Joo Cho & Paul Boeck & Susan Embretson & Sophia Rabe-Hesketh, 2014. "Additive Multilevel Item Structure Models with Random Residuals: Item Modeling for Explanation and Item Generation," Psychometrika, Springer;The Psychometric Society, vol. 79(1), pages 84-104, January.
    8. Franco Peracchi & Claudio Rossetti, 2013. "The heterogeneous thresholds ordered response model: identification and inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 703-722, June.
    9. Raskina, Yulia & Podkorytova, Olga & Kuchakov, Ruslan, 2022. "Health determinants and the reporting heterogeneity bias in Russia: Anchoring vignettes approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 118-143.
    10. Teresa Bago d’Uva & Maarten Lindeboom & Owen O’Donnell & Eddy van Doorslaer, 2011. "Slipping Anchor?: Testing the Vignettes Approach to Identification and Correction of Reporting Heterogeneity," Journal of Human Resources, University of Wisconsin Press, vol. 46(4), pages 875-906.
    11. Fiorentini, Gianluca & Ragazzi, Giovanni & Robone, Silvana, 2015. "Are bad health and pain making us grumpy? An empirical evaluation of reporting heterogeneity in rating health system responsiveness," Social Science & Medicine, Elsevier, vol. 144(C), pages 48-58.
    12. Zhang, Hao & Bago d’Uva, Teresa & van Doorslaer, Eddy, 2015. "The gender health gap in China: A decomposition analysis," Economics & Human Biology, Elsevier, vol. 18(C), pages 13-26.
    13. Fantazzini, Dean, 2008. "Credit Risk Management," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 12(4), pages 84-137.
    14. Arie Kapteyn & Erik Meijer, 2014. "A Comparison of Different Measures of Health and their Relation to Labor Force Transitions at Older Ages," NBER Chapters, in: Discoveries in the Economics of Aging, pages 115-150, National Bureau of Economic Research, Inc.
    15. Laura Rossouw & Teresa Bago d’Uva & Eddy Doorslaer, 2018. "Poor Health Reporting? Using Anchoring Vignettes to Uncover Health Disparities by Wealth and Race," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1935-1956, October.
    16. S. Robone & G. Fiorentini & M. A. Nicoli & S. Rodella, 2014. "La responsiveness dei sistemi sanitari: un analisi empirica sull assistenza ospedaliera nel Servizio Sanitario Regionale dell Emilia Romagna," Working Papers wp934, Dipartimento Scienze Economiche, Universita' di Bologna.
    17. Arbués, Pelayo & Baños, José F. & Mayor, Matías & Suárez, Patricia, 2016. "Determinants of ground transport modal choice in long-distance trips in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 131-143.
    18. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    19. Burgard, Sarah A. & Chen, Patricia V., 2014. "Challenges of health measurement in studies of health disparities," Social Science & Medicine, Elsevier, vol. 106(C), pages 143-150.
    20. Basar, Dilek & Soytas, Mehmet A., 2018. "Can heterogeneity in reporting behavior explain the gender gap in self-assessed health status?," Economics Discussion Papers 2018-25, Kiel Institute for the World Economy (IfW Kiel).

    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:eee:socmed:v:138:y:2015:i:c:p:152-160. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.