Literature DB >> 30590688

Enrichment sampling for a multi-site patient survey using electronic health records and census data.

Nathaniel D Mercaldo1, Kyle B Brothers2, David S Carrell3, Ellen W Clayton4, John J Connolly5, Ingrid A Holm6, Carol R Horowitz7, Gail P Jarvik8, Terrie E Kitchner9, Rongling Li10, Catherine A McCarty11, Jennifer B McCormick12, Valerie D McManus13, Melanie F Myers14, Joshua J Pankratz15, Martha J Shrubsole16, Maureen E Smith17, Sarah C Stallings18, Janet L Williams19, Jonathan S Schildcrout20.   

Abstract

Objective: We describe a stratified sampling design that combines electronic health records (EHRs) and United States Census (USC) data to construct the sampling frame and an algorithm to enrich the sample with individuals belonging to rarer strata. Materials and
Methods: This design was developed for a multi-site survey that sought to examine patient concerns about and barriers to participating in research studies, especially among under-studied populations (eg, minorities, low educational attainment). We defined sampling strata by cross-tabulating several socio-demographic variables obtained from EHR and augmented with census-block-level USC data. We oversampled rarer and historically underrepresented subpopulations.
Results: The sampling strategy, which included USC-supplemented EHR data, led to a far more diverse sample than would have been expected under random sampling (eg, 3-, 8-, 7-, and 12-fold increase in African Americans, Asians, Hispanics and those with less than a high school degree, respectively). We observed that our EHR data tended to misclassify minority races more often than majority races, and that non-majority races, Latino ethnicity, younger adult age, lower education, and urban/suburban living were each associated with lower response rates to the mailed surveys. Discussion: We observed substantial enrichment from rarer subpopulations. The magnitude of the enrichment depends on the accuracy of the variables that define the sampling strata and the overall response rate.
Conclusion: EHR and USC data may be used to define sampling strata that in turn may be used to enrich the final study sample. This design may be of particular interest for studies of rarer and understudied populations.

Entities:  

Mesh:

Year:  2019        PMID: 30590688      PMCID: PMC6351976          DOI: 10.1093/jamia/ocy164

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  17 in total

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2.  Public Attitudes toward Consent and Data Sharing in Biobank Research: A Large Multi-site Experimental Survey in the US.

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Review 9.  A review of approaches to identifying patient phenotype cohorts using electronic health records.

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10.  Conducting a large, multi-site survey about patients' views on broad consent: challenges and solutions.

Authors:  Maureen E Smith; Saskia C Sanderson; Kyle B Brothers; Melanie F Myers; Jennifer McCormick; Sharon Aufox; Martha J Shrubsole; Nanibaá A Garrison; Nathaniel D Mercaldo; Jonathan S Schildcrout; Ellen Wright Clayton; Armand H Matheny Antommaria; Melissa Basford; Murray Brilliant; John J Connolly; Stephanie M Fullerton; Carol R Horowitz; Gail P Jarvik; Dave Kaufman; Terri Kitchner; Rongling Li; Evette J Ludman; Catherine McCarty; Valerie McManus; Sarah Stallings; Janet L Williams; Ingrid A Holm
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