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

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  • 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.

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  • 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
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    References listed on IDEAS

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    1. Guillermina Jasso, 2006. "Factorial Survey Methods for Studying Beliefs and Judgments," Sociological Methods & Research, , vol. 34(3), pages 334-423, February.
    2. repec:cup:apsrev:v:98:y:2004:i:01:p:191-207_00 is not listed on IDEAS
    3. 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.
    4. 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.
    5. 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.
    6. Franco Peracchi & Claudio Rossetti, 2012. "Heterogeneity in health responses and anchoring vignettes," Empirical Economics, Springer, vol. 42(2), pages 513-538, April.
    7. Sophia Rabe-Hesketh & Anders Skrondal, 2012. "Multilevel and Longitudinal Modeling Using Stata, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number mimus2, March.
    8. 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.
    9. 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.
    10. 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.
    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.
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    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.

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