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Disaggregation of Latina/o Child and Adult Health Data: A Systematic Review of Public Health Surveillance Surveys in the United States

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Abstract

Public health surveillance surveys provide key data from which the U.S. population health estimates are derived. We conducted a systematic review of the contemporary scientific literature on prevalent Latina/o child and adult health outcomes to determine the proportion of peer-reviewed articles derived from national or state U.S. public health surveillance surveys that disaggregated or stratified Latina/o population health estimates by social determinants and, therefore, provided within-Latino group comparisons. We searched biomedical electronic databases (Ovid MEDLINE, EMBASE, PsycINFO, JSTOR, Sociological Abstracts) for observational U.S. studies published between January 2006 and June 2016 and identified 573 full-text articles on Latina/o health. Of those, 175 articles further disaggregated the data along five categories of social determinants: sociodemographics (61.0%), socioeconomic status (18.5%), migration factors (11.7%), place-based factors (8.1%), and individual/interpersonal factors (1.9%). Three-fourths of the articles (77.7%) focused on adults, and the remaining focused on children (22.9%). The number of mean articles published per year was 15.9, with some slight variation over the 10-year period. While equivocal, the seemingly low percentage may stem from limitations in research design and data collection, as well as the lack of clear guidelines or a standardized set of survey items that reflect disaggregation categories most relevant to the Latina/o community. Our results suggest the need for programmatic initiatives to promote and standardize Latina/o health data disaggregation across the lifecourse and across the research process from design, data collection, and analysis, to reporting and publication. PROSPERO2016:CRD42016041879.

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Notes

  1. Importantly, excerpts of this manuscript have been published as part of a Robert Wood Johnson Foundation initiative to identify solutions for improving racial/ethnic health data disaggregation. Readers are encouraged to consult with Counting a Diverse Nation for additional information and the full report on Latina/o health data disaggregation (Alcántara et al. 2017a; Rubin et al. 2018).

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Acknowledgements

The authors wish to thank Drs. Margarita Alegría, Dolores Acevedo-Garcia, and Larissa Avilés-Santa for their insightful comments and contributions during the preparation of the Robert Wood Johnson Foundation Report, which forms the basis of this review. Portions of this manuscript appeared previously in Alcántara, C., Cabassa, L.J., Suglia, S., Perez Ibarra, I., Falzon, A.L., McCullough, E., Alvi, T. (2017). Disaggregating Latina/o Surveillance Health Data across the Lifecourse: Barriers, Facilitators, and Exemplars. Report contracted by the Robert Wood Johnson Foundation (RWJF Grant #: 73637). Portions of this manuscript were referenced in Robert Wood Johnson Foundation Report’s Counting a Diverse Nation (Alcántara et al. 2017a; Rubin et al. 2018). The authors also wish to thank Sarah Valentina Diaz, Luciana Giorgio Cosenzo, and Darwin Arias for their assistance preparing the manuscript for submission.

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Alcántara, C., Suglia, S.F., Ibarra, I.P. et al. Disaggregation of Latina/o Child and Adult Health Data: A Systematic Review of Public Health Surveillance Surveys in the United States. Popul Res Policy Rev 40, 61–79 (2021). https://doi.org/10.1007/s11113-020-09633-4

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