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A Nonresponse Bias Analysis of the Health Information National Trends Survey (HINTS)

Authors :
Kelly D. Blake
Bradford W. Hesse
David Cantor
Aaron Maitland
Richard P. Moser
Amy Lin
Michael E. Jones
Terisa Davis
Source :
Journal of Health Communication. 22:545-553
Publication Year :
2017
Publisher :
Informa UK Limited, 2017.

Abstract

We conducted a nonresponse bias analysis of the Health Information National Trends Survey (HINTS) 4, Cycles 1 and 3, collected in 2011 and 2013, respectively, using three analysis methods: comparison of response rates for subgroups, comparison of estimates with weighting adjustments and external benchmarks, and level-of-effort analysis. Areas with higher concentrations of low socioeconomic status, higher concentrations of young households, and higher concentrations of minority and Hispanic populations had lower response rates. Estimates of health information seeking behavior were higher in HINTS compared to the National Health Interview Survey (NHIS). The HINTS estimate of doctors always explaining things in a way that the patient understands was not significantly different from the same estimate from the Medical Expenditure Panel Survey (MEPS); however, the HINTS estimate of health professionals always spending enough time with the patient was significantly lower than the same estimate from MEPS. A level-of-effort analysis found that those who respond later in the survey field period were less likely to have looked for information about health in the past 12 months, but found only small differences between early and late respondents for the majority of estimates examined. There is some evidence that estimates from HINTS could be biased toward finding higher levels of health information seeking.

Details

ISSN :
10870415 and 10810730
Volume :
22
Database :
OpenAIRE
Journal :
Journal of Health Communication
Accession number :
edsair.doi.dedup.....995b5a78cf8913653940bcf73caa87cb
Full Text :
https://doi.org/10.1080/10810730.2017.1324539