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Adapting the Pregnancy Risk Assessment Monitoring Survey to Enhance Locally Available Data: Methods

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Abstract

Despite the increasing emphasis on pre- and interconception planning, perinatal data available to local municipalities and organizations is often limited to that on the birth certificate. A partnership between a local health department and an academic medical center sought to overcome this gap. Using the core questions from the Pregnancy Risk Assessment Monitoring System (PRAMS) and a stratified random sample methodology (by income) in a county with ~8,000 annual births we mailed 2,462 surveys to mothers who gave birth between May 2009 and April 2010. Mailings occurred at 4–5 months postpartum. Low income mothers (those with a Medicaid-funded delivery and/or prenatal WIC enrollment) were oversampled based on a projected response rate of 35 % (rate for non-low income was 55 %). Over 1,000 usable surveys were returned and linked with birth certificate data. Target response rates were achieved. 9.4 % of addresses for low income mothers were undeliverable (vs. 4.2 % of non-low income). Both low and non-low income respondents were more likely to be over age 18 and White. After statistical adjustments the survey dataset was demographically similar to the original birth data. Personnel and non-personnel costs per usable survey exceeded $20. Collecting local data using a modified PRAMS methodology is feasible but requires expertise in survey, data management and birth certificate data and local knowledge about survey response patterns. These types of data can serve to inform policy and program planning and provide data to support relevant funding requests.

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Notes

  1. Personal communication. Carol Gilbert, M.S., Health Data Analyst, CityMatCH; May 9, 2013.

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Acknowledgments

The authors would like to acknowledge the invaluable efforts of the following individuals: Joseph Duckett, Alice Nelson, Holly Widanka, Connie Bottoni, Anna Solomnik, Julia Gutcowski and Emily Vreeland. In addition Ann Kern at the Monroe County Department of Public Health who served as the point person between the county and the NYS Department of Health and Anne Radigan from the New York State Department of Health. The project described in this publication was supported by National Institutes of Health funding from (1) PHS Grant # RO1-HD055191, Community Partnership for Breastfeeding Promotion and Support (NICHD) and (2) University of Rochester CTSA award number UL1 RR024160 from the National Center for Research Resources and the National Center for Advancing Translational Sciences. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Authors and Affiliations

  1. Department of Public Health Sciences, University of Rochester, 265 Crittenden Blvd. CU 420644, Rochester, NY, 14642-0644, USA

    Ann M. Dozier & Deborah Ossip

  2. Division of Neonatology, Department of Research, Connecticut Children’s Medical Center, Cincinnati, OH, USA

    Elizabeth Brownell

  3. Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA

    Joseph Guido & Hongmei Yang

  4. Department of Pediatrics, University of Rochester, Rochester, NY, USA

    Cynthia A. Howard & Ruth Lawrence

  5. Rochester, NY, USA

    Andrew Doniger

Authors
  1. Ann M. Dozier
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  2. Elizabeth Brownell
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  3. Joseph Guido
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  4. Hongmei Yang
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  5. Cynthia A. Howard
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  6. Andrew Doniger
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  7. Deborah Ossip
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  8. Ruth Lawrence
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Corresponding author

Correspondence to Ann M. Dozier.

Additional information

Andrew Doniger was formerly with the Division of Public Health, Monroe County Health Department.

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Dozier, A.M., Brownell, E., Guido, J. et al. Adapting the Pregnancy Risk Assessment Monitoring Survey to Enhance Locally Available Data: Methods. Matern Child Health J 18, 1196–1204 (2014). https://doi.org/10.1007/s10995-013-1350-6

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  • DOI: https://doi.org/10.1007/s10995-013-1350-6

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