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Are bad health and pain making us grumpy? An empirical evaluation of reporting heterogeneity in rating health system responsiveness

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  • Fiorentini, Gianluca
  • Ragazzi, Giovanni
  • Robone, Silvana

Abstract

In recent years, the concept of responsiveness has been put forward as one desirable measure of the performance of health systems. Responsiveness can be defined as a system's ability to respond to the legitimate expectations of potential users regarding non-health enhancing aspects of care. However, since responsiveness is evaluated by patients on a categorical scale, their self-evaluation can be affected by the phenomenon of reporting heterogeneity. A few studies have investigated how standard socio-demographic characteristics influence the reporting style of patients with regard to responsiveness. However, we are not aware of studies that focus explicitly on the influence that both the patients' state of health and their experiencing of pain have on their reporting style on responsiveness. This paper tries to bridge this gap by using data regarding a sample of about 2500 patients hospitalized in four Local Health Authorities (LHA) in Italy's Emilia-Romagna region between 2010 and 2012. These patients have evaluated 27 different aspects of the quality of care, concerning five domains of responsiveness (communication, privacy, dignity, waiting times and quality of facilities). Data have been stratified into five sub-samples, according to these domains. We estimate a generalized ordered probit model, an extension of the standard ordered probit model which permits the reporting behaviour of respondents to be modelled as a function of certain respondents' characteristics, which in our analysis are represented by the variables “state of health” and “pain”. Our results suggest that unhealthier patients and patients experiencing pain are more likely to report a lower level of responsiveness, all other things being equal.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:socmed:v:144:y:2015:i:c:p:48-58
    DOI: 10.1016/j.socscimed.2015.09.009
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    1. Rice, N & Robone, S & Smith, P.C, 2008. "International Comparison of Public Sector Performance: The Use of Anchoring Vignettes to adjust Self-Reported Data," Health, Econometrics and Data Group (HEDG) Working Papers 08/28, HEDG, c/o Department of Economics, University of York.
    2. Robone, S & Rice, N & Smith, P, 2010. "Health systems’ responsiveness and its characteristics: a cross-country comparative analysis," Health, Econometrics and Data Group (HEDG) Working Papers 10/29, HEDG, c/o Department of Economics, University of York.
    3. Jones, Andrew M. & Rice, Nigel & Robone, Silvana & Dias, Pedro Rosa, 2011. "Inequality and polarisation in health systems' responsiveness: A cross-country analysis," Journal of Health Economics, Elsevier, vol. 30(4), pages 616-625, July.
    4. Stephen Pudney & Michael Shields, 2000. "Gender, race, pay and promotion in the British nursing profession: estimation of a generalized ordered probit model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(4), pages 367-399.
    5. 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.
    6. George France & Francesco Taroni & Andrea Donatini, 2005. "The Italian health‐care system," Health Economics, John Wiley & Sons, Ltd., vol. 14(S1), pages 187-202, September.
    7. 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.
    8. Teresa Bago d'Uva & Eddy Van Doorslaer & Maarten Lindeboom & Owen O'Donnell, 2008. "Does reporting heterogeneity bias the measurement of health disparities?," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 351-375, March.
    9. Valentine, Nicole & Darby, Charles & Bonsel, Gouke J., 2008. "Which aspects of non-clinical quality of care are most important? Results from WHO's general population surveys of "health systems responsiveness" in 41 countries," Social Science & Medicine, Elsevier, vol. 66(9), pages 1939-1950, May.
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    Cited by:

    1. Ángel Fernández-Pérez & Ángeles Sánchez, 2019. "Improving People’s Self-Reported Experience with the Health Services: The Role of Non-Clinical Factors," IJERPH, MDPI, vol. 17(1), pages 1-12, December.
    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. Landi, Stefano & Ivaldi, Enrico & Testi, Angela, 2018. "Socioeconomic status and waiting times for health services: An international literature review and evidence from the Italian National Health System," Health Policy, Elsevier, vol. 122(4), pages 334-351.
    4. García-Corchero, Juan David & Jiménez-Rubio, Dolores, 2022. "How do policy levers shape the quality of a national health system?," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 203-221.
    5. Fernández-Pérez, Ángel & Jiménez-Rubio, Dolores & Robone, Silvana, 2022. "Freedom of choice and health services’ performance: Evidence from a national health system," Health Policy, Elsevier, vol. 126(12), pages 1283-1290.

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    More about this item

    Keywords

    Italy; Health care responsiveness; Health system performance; Reporting heterogeneity; Generalised ordered probit; Self-reported health; Pain;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I19 - Health, Education, and Welfare - - Health - - - Other
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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