This article presents the findings of a web survey aimed at collecting new neighborhood-level information on individual and contextual health-related risk factors in Milan, Italy. The study utilized the Social Determinants of Health and Urban Health approaches to design data-driven health prevention and promotion interventions tailored to the local community. However, the survey experienced a significantly low response rate (6.2%) with a skewed re- presentation of middle-aged, well-educated, white-collar individuals located in affluent city areas. As a result, the collected data was deemed unusable for public health and research purposes. The article discusses the rationale, structure, and development of the project and evaluates the magnitude of non-response and non-response bias due to socioeconomic characteristics. The issues of low survey participation and socioeconomic inequalities in re- sponse rates are explored in connection with sociological theories and exist- ing empirical evidence from the literature.

Analysis and Theoretical Exploration of Low Response Rate and Socioeconomic Bias in Survey Non-Response in Milan, Italy / D. Consolazio, D. Benassi, S. Sarti, M. Terraneo, C. Celata, A.G. Russo. - In: OALIB. - ISSN 2333-9721. - 11:7(2024 Jul 30), pp. e11850.1-e11850.18. [10.4236/oalib.1111850]

Analysis and Theoretical Exploration of Low Response Rate and Socioeconomic Bias in Survey Non-Response in Milan, Italy

D. Consolazio
Primo
;
S. Sarti;
2024

Abstract

This article presents the findings of a web survey aimed at collecting new neighborhood-level information on individual and contextual health-related risk factors in Milan, Italy. The study utilized the Social Determinants of Health and Urban Health approaches to design data-driven health prevention and promotion interventions tailored to the local community. However, the survey experienced a significantly low response rate (6.2%) with a skewed re- presentation of middle-aged, well-educated, white-collar individuals located in affluent city areas. As a result, the collected data was deemed unusable for public health and research purposes. The article discusses the rationale, structure, and development of the project and evaluates the magnitude of non-response and non-response bias due to socioeconomic characteristics. The issues of low survey participation and socioeconomic inequalities in re- sponse rates are explored in connection with sociological theories and exist- ing empirical evidence from the literature.
Survey Non-Response; Non-Response Bias; Web-Survey; Social Determinants of Health; Urban Health
Settore SPS/07 - Sociologia Generale
Settore GSPS-05/A - Sociologia generale
   Enhancing healthcare and well-being through the potential of big data: an integration of survey, administrative, and open data to assess health risk in the City of Milan with data science
   FONDAZIONE CARIPLO
   2020-4269
30-lug-2024
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1084208
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