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01-12-2018

NYC HANES 2013–14 and Reflections on Future Population Health Surveillance

Authors: Sharon E. Perlman, R. Charon Gwynn, Carolyn M. Greene, Amy Freeman, Claudia Chernov, Lorna E. Thorpe

Published in: Journal of Urban Health | Issue 6/2018

Excerpt

Accurate and reliable population health data are critical to public health and enable evidence-based planning, policy-making, and program evaluation. Public health agencies rely on local data to identify and monitor the burden of disease in a population over time and to answer important health policy questions. The New York City Health and Nutrition Examination Survey (NYC HANES), a local, representative heath examination survey, was conducted twice in NYC, once in 2004 and again in 2013–14 [1, 2]. Data from NYC HANES have served as a strong complement to existing population health surveillance data, especially in the context of New York City’s urban environment. In this special issue, we describe a range of findings from NYC HANES 2013–14 that collectively illustrate the unique contribution of examination surveys to population health surveillance. Yet, few public health agencies implement examination surveys, despite their important contributions, in part because such surveys can be expensive and difficult to conduct. We explore the value and challenges of surveys like NYC HANES, and we also describe emerging population health surveillance approaches that might provide complementary information to improve public health. …

Thorpe LE, Gwynn RC, Mandel-Ricci J, et al. Study design and participation rates of the New York City Health and Nutrition Examination Survey, 2004. Prev Chronic Dis. 2006;3(3):A94. https://doi.org/10.1016/j.pmedr.2015.06.019.CrossRefPubMedPubMedCentral

Thorpe LE, Greene C, Freeman A, Snell E, Rodriguez-Lopez JS, Frankel M, et al. Rationale, design and respondent characteristics of the 2013–2014 New York City Health and Nutrition Examination Survey (NYC HANES 2013–2014). Prev Med Rep. 2015;2:580–5. https://doi.org/10.1016/j.pmedr.2015.06.019.CrossRefPubMedPubMedCentral

Gwynn RC, Garg RK, Kerker BD, Frieden TR, Thorpe LE. Contributions of a local health examination survey to the surveillance of chronic and infectious diseases in New York City. Am J Public Health. 2009;99(1):152–9. https://doi.org/10.2105/AJPH.2007.117010.CrossRefPubMedPubMedCentral

Perlman SE, Chernov C, Farley SM, Greene CM, Aldous KM, Freeman A, et al. Exposure to secondhand smoke among nonsmokers in New York City in the context of recent tobacco control policies: current status, changes over the past decade, and national comparisons. Nicotine Tob Res. 2016;18(11):2065–74. https://doi.org/10.1093/ntr/ntw135.CrossRefPubMed

Whitman S, Shah A, Benjamin M, editors. Urban health: combating disparities with local data. New York, NY: Oxford University Press; 2011.

Survey of the Health of Wisconsin. Available at https://www.med.wisc.edu/show. Accessed 18 Jan 2018.

Czajka JL, Beyler, A. Declining response rates in federal surveys: trends and implications. Mathematica Policy Research. 2016. Available at https://www.mathematica-mpr.com/our-publications-and-findings/publications/declining-response-rates-in-federal-surveys-trends-and-implications-background-paper. Accessed 25 Jan 2018.

Pew Research Center. Assessing the representativeness of public opinion surveys. 2012 Available at http://assets.pewresearch.org/wp-content/uploads/sites/5/legacy-pdf/Assessing%20the%20Representativeness%20of%20Public%20Opinion%20Surveys.pdf. Accessed 18 Jan2018.

Thacker SB, Qualters JR, Lee LM. Public health surveillance in the United States: evolution and challenges. MMWR. 2012;61(03):3–9.

10.

German RR, Lee LM, Horan JM, Milstein RL, Pertowski CA, Waller MN, et al. Updated guidelines for evaluating public health surveillance systems: recommendations from the Guidelines Working Group. MMWR Recomm Rep. 2001 Jul 27;50(RR-13):1–35.PubMed

11.

Office of the National Coordinator for Health Information Technology. Office-based physician electronic health record adoption, Health IT Quick-Stat #50. https://dashboard.healthit.gov/quickstats/pages/physician-ehr-adoption-trends.php. Accessed 18 June 2018.

12.

McVeigh KH, Newton-Dame R, Chan PY, et al. Can electronic health records be used for population health surveillance? Validating population health metrics against established survey data. EGEMS (Wash DC). 2016;4(1):27.

13.

Thorpe LE, McVeigh KH, Perlman SE, et al. Monitoring prevalence, treatment, and control of metabolic conditions in New York City adults using 2013 primary care electronic health records: a surveillance validation study. EGEMS (Wash DC). 2016;4(1):28.

14.

Klompas M, Cocoros NM, Menchaca JT, Erani D, Hafer E, Herrick B, et al. State and local chronic disease surveillance using electronic health record systems. Am J Public Health. 2017;107(9):1406–12. https://doi.org/10.2105/AJPH.2017.303874.CrossRefPubMedPubMedCentral

15.

Denver Public Health. Colorado Health Observation Regional Data Service (CHORDS). Available at http://www.denverhealth.org/public-health-and-wellness/public-health/health-information-and-reports/data-and-informatics-tools/colorado-health-observation-regional-data-service-chords. Accessed 30 June 2016.

16.

Colorado Health Observation Regional Data Service. Available at https://www.coloradohealthinstitute.org/research/colorado-health-observation-regional-data-service. Accessed 29 Jan 2018.

17.

Office of the National Coordinator for Health Information Technology. Meaningful use definitions and objectives. 2015. Available at: https://www.healthit.gov/providers-professionals/meaningful-use-definition-objectives. Accessed 23 Jan 2018.

18.

Anxiety and Depression Association of America. ADAA reviewed mental health apps. Available at https://adaa.org/finding-help/mobile-apps. Accessed 28 Dec 2017.

19.

Whittaker R, McRobbie H, Bullen C, Rodgers A, Gu Y. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev. 2016;4:CD006611. https://doi.org/10.1002/14651858.CD006611.pub4.CrossRefPubMed

20.

Silva BMC, Rodrigues JJPC, de la Torre Díez I, López-Coronado M, Saleem K. Mobile-health: a review of current state in 2015. J Biomed Inform. 2015;56:265–72.CrossRef

21.

Watson Oncology. Memorial Sloan Kettering Cancer Center. Available at https://www.mskcc.org/about/innovative-collaborations/watson-oncology. Accessed 28 Dec 2017.

22.

How companies learn your secrets. New York Times. Available at http://www.nytimes.com/2012/02/19/magazine/shopping-habits.html. Accessed 28 Dec 2017.

23.

Fast Company. IBM Watson Health teams up with the CDC to research blockchain. Available at https://www.fastcompany.com/40481883/ibm-watson-health-is-teaming-up-with-the-cdc-to-research-blockchain. Accessed 28 Dec 2017.

24.

Effland T, Lawson A, Balter S, Devinney K, Reddy V, Waechter H, et al. Discovering foodborne illness in online restaurant reviews. J Am Med Inform Assoc. 2018; https://doi.org/10.1093/jamia/ocx093.

25.

Reilly KH, Schretzman M, Johns E, et al. Neighborhood tabulation areas: enhancing population health and human services capacity in NYC through shared information at the small area level. Available at https://appam.confex.com/appam/2017/webprogram/Paper23268.html. Accessed 28 Dec 2017.

26.

Live Well San Diego. Available at http://www.livewellsd.org/content/livewell/home/data-results/top-10-live-well-indicators.html. Accessed 28 Dec 2017.

Title: NYC HANES 2013–14 and Reflections on Future Population Health Surveillance
Authors: Sharon E. Perlman
R. Charon Gwynn
Carolyn M. Greene
Amy Freeman
Claudia Chernov
Lorna E. Thorpe
Publication date: 01-12-2018
Publisher: Springer US
Published in: Journal of Urban Health / Issue 6/2018
Print ISSN: 1099-3460
Electronic ISSN: 1468-2869
DOI: https://doi.org/10.1007/s11524-018-0284-0

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