Impact of Differential Privacy and Census Tract Data Source (Decennial Census Versus American Community Survey) for Monitoring Health Inequities.

Objectives. To investigate how census tract (CT) estimates of mortality rates and inequities are affected by (1) differential privacy (DP), whereby the public decennial census (DC) data are injected with statistical "noise" to protect individual privacy, and (2) uncertainty arising from the small nu...

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Publicado en:American Journal of Public Health Vol. 111; no. 2; pp. 265 - 269
Autores principales: Krieger, Nancy, Nethery, Rachel C., Chen, Jarvis T., Waterman, Pamela D., Wright, Emily, Rushovich, Tamara, Coull, Brent A.
Formato: Artículo
Publicado: American Public Health Association Feb2021
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2021
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      pub: American Public Health Association
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        148105793
        10.2105/AJPH.2020.305989
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        atl: Impact of Differential Privacy and Census Tract Data Source (Decennial Census Versus American Community Survey) for Monitoring Health Inequities.
      aug:
        au:
          Krieger, Nancy
          Nethery, Rachel C.
          Chen, Jarvis T.
          Waterman, Pamela D.
          Wright, Emily
          Rushovich, Tamara
          Coull, Brent A.
      su:
        Census
        Health equity
        Mortality
        Census districts
      sug:
        subj:
          Census
          Health equity
          Mortality
          Census districts
      ab: Objectives. To investigate how census tract (CT) estimates of mortality rates and inequities are affected by (1) differential privacy (DP), whereby the public decennial census (DC) data are injected with statistical "noise" to protect individual privacy, and (2) uncertainty arising from the small number of different persons surveyed each year in a given CT for the American Community Survey (ACS). Methods. We compared estimates of the 2008–2012 average annual premature mortality rate (death before age 65 years) in Massachusetts using CT data from the 2010 DC, 2010 DC with DP, and 2008–2012 ACS 5-year estimate data. Results. For these 3 denominator sources, the age-standardized premature mortality rates (per 100 000) for the total population respectively equaled 166.4 (95% confidence interval [CI] = 162.2, 170.6), 166.4 (95% CI = 162.2, 170.6), and 166.3 (95% CI = 162.1, 170.5), and inequities in the range from best to worst quintile for CT racialized economic segregation were from 103.4 to 260.1, 102.9 to 258.7, and 102.8 to 262.4. Similarity of results across CT denominator sources held for analyses stratified by gender and race/ethnicity. Conclusions. Estimates of health inequities at the CT level may not be affected by use of 2020 DP data and uncertainty in the ACS data.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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