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Women’s satisfaction during pregnancy and at delivery in Tuscany (Italy)

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Abstract

The Tuscany region constitutes an excellence at the national level for the quality of its health services. Following the WHO guidelines on the prenatal and childcare services, it has an integrated path targeted at pregnant women, called "birth path", to take care of all clinical and non-clinical aspects of pregnancy, childbirth and postpartum. New mothers’ evaluation of the birth path was the object of a specific survey, conducted in Tuscany in 2012-2013, which is analyzed in detail in this paper. Focusing on the association of women’s socio-demographic characteristics and overall satisfaction of the care path using multilevel modelling, the main conclusion is that, while the average was high, significant differences in satisfaction levels emerge between women from different socio-demographic groups. Women’s satisfaction at childbirth is generally considered an important indicator of the quality of maternity services, with implications on the health and well-being of the mother and the child. However, the effect of women’s characteristics on satisfaction is under-investigated, especially in Italy: our research aims at filling this gap.

Suggested Citation

  • Gustavo De Santis & Valentina Tocchioni & Chiara Seghieri & Sabina Nuti, 2016. "Women’s satisfaction during pregnancy and at delivery in Tuscany (Italy)," Econometrics Working Papers Archive 2016_08, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    • Handle: RePEc:fir:econom:wp2016_08
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    File URL: https://labdisia.disia.unifi.it/wp_disia/2016/wp_disia_2016_08.pdf
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    1. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    2. Namey, Emily E. & Lyerly, Anne Drapkin, 2010. "The meaning of "control" for childbearing women in the US," Social Science & Medicine, Elsevier, vol. 71(4), pages 769-776, August.
    3. Sabina Nuti & Chiara Seghieri & Milena Vainieri, 2013. "Assessing the effectiveness of a performance evaluation system in the public health care sector: some novel evidence from the Tuscany region experience," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 17(1), pages 59-69, February.
    4. Overgaard, Charlotte & Fenger-Grøn, Morten & Sandall, Jane, 2012. "The impact of birthplace on women’s birth experiences and perceptions of care," Social Science & Medicine, Elsevier, vol. 74(7), pages 973-981.
    5. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Tuscany; Italy; childbirth; pregnancy; satisfaction evaluation; birth experience; multilevel models; health system strategies;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • N34 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Europe: 1913-

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