Operationalizing the Measurement of Socioeconomic Position in Our Urogynecology Study Populations: An Illustrative Review

dc.contributor.authorHeit, Michael
dc.contributor.authorGuirguis, Nayera
dc.contributor.authorKassis, Nadine
dc.contributor.authorTakase-Sanchez, Michelle
dc.contributor.authorCarpenter, Janet
dc.contributor.departmentObstetrics and Gynecology, School of Medicineen_US
dc.date.accessioned2018-02-09T15:20:53Z
dc.date.available2018-02-09T15:20:53Z
dc.date.issued2017-05
dc.description.abstractObjectives The purpose of this illustrative review is to provide guidance for the measurement of socioeconomic position when conducting health disparities research in urogynecology study populations. Methods Deidentified data were extracted from existing investigational review board–approved research databases for illustrative purposes. Attributes collected included the study participant's marital status, level of educational attainment (in number of years of school completed) and occupation as well as the study participant's last/only spouses' level of education and occupation. Average household and female socioeconomic position scores were calculated using two established composite indices: (1) Hollingshead Four Factor Index of Social Position, (2) Green's Socioeconomic Status scores, and 2 single-item indices: (1) Hauser-Warren Socioeconomic Index of Occupation, (2) level of educational attainment. Results The Hollingshead Four Factor Index of Social Position more than the Hauser-Warren Socioeconomic Index of Occupation provides researchers with a continuous score that is normally distributed with the least skew from the dataset. Their greater standard deviations and low kurtotic values increase the probability that statistically significant differences in health outcomes predicted by socioeconomic position will be detected compared with Green's socioeconomic status scores. Conclusions Collection of socioeconomic data is an important first step in gaining a better understanding of health disparities through elimination of confounding bias, and for the development of behavioral, educational, and legislative strategies to eliminate them. We favor average household socioeconomic position scores over female socioeconomic position scores because average household socioeconomic position scores are more reflective of overall resources and opportunities available to each family member.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationHeit, M., Guirguis, N., Kassis, N., Takase-sanchez, M., & Carpenter, J. (2017). Operationalizing the Measurement of Socioeconomic Position in Our Urogynecology Study Populations: An Illustrative Review. Female Pelvic Medicine & Reconstructive Surgery, 23(3), 208–215. https://doi.org/10.1097/SPV.0000000000000353en_US
dc.identifier.urihttps://hdl.handle.net/1805/15169
dc.language.isoenen_US
dc.publisherWolters Kluweren_US
dc.relation.isversionof10.1097/SPV.0000000000000353en_US
dc.relation.journalFemale Pelvic Medicine & Reconstructive Surgeryen_US
dc.rightsPublisher Policyen_US
dc.sourceAuthoren_US
dc.subjecturogynecologyen_US
dc.subjectsocioeconomic positionen_US
dc.subjecthealth disparities researchen_US
dc.titleOperationalizing the Measurement of Socioeconomic Position in Our Urogynecology Study Populations: An Illustrative Reviewen_US
dc.typeArticleen_US
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