Home > Research > Publications & Outputs > Assessing the representativeness of population-...

Electronic data

  • Am. J. Epidemiol.-2014-Gorman-941-8

    Rights statement: © The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

    Final published version, 199 KB, PDF document

    Available under license: CC BY

Links

Text available via DOI:

View graph of relations

Assessing the representativeness of population-sampled health surveys through linkage to administrative data on alcohol-related outcomes

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Assessing the representativeness of population-sampled health surveys through linkage to administrative data on alcohol-related outcomes. / Gorman, Emma; Leyland, Alastair H.; McCartney, Gerry et al.
In: American Journal of Epidemiology, Vol. 180, No. 9, 2014, p. 941-948.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Gorman, E, Leyland, AH, McCartney, G, White, IR, Katikireddi, SV, Rutherford, L, Graham, L & Gray, L 2014, 'Assessing the representativeness of population-sampled health surveys through linkage to administrative data on alcohol-related outcomes', American Journal of Epidemiology, vol. 180, no. 9, pp. 941-948. https://doi.org/10.1093/aje/kwu207

APA

Gorman, E., Leyland, A. H., McCartney, G., White, I. R., Katikireddi, S. V., Rutherford, L., Graham, L., & Gray, L. (2014). Assessing the representativeness of population-sampled health surveys through linkage to administrative data on alcohol-related outcomes. American Journal of Epidemiology, 180(9), 941-948. https://doi.org/10.1093/aje/kwu207

Vancouver

Gorman E, Leyland AH, McCartney G, White IR, Katikireddi SV, Rutherford L et al. Assessing the representativeness of population-sampled health surveys through linkage to administrative data on alcohol-related outcomes. American Journal of Epidemiology. 2014;180(9):941-948. Epub 2014 Sept 16. doi: 10.1093/aje/kwu207

Author

Gorman, Emma ; Leyland, Alastair H. ; McCartney, Gerry et al. / Assessing the representativeness of population-sampled health surveys through linkage to administrative data on alcohol-related outcomes. In: American Journal of Epidemiology. 2014 ; Vol. 180, No. 9. pp. 941-948.

Bibtex

@article{a5496697687b4198a3e71f5d98da9331,
title = "Assessing the representativeness of population-sampled health surveys through linkage to administrative data on alcohol-related outcomes",
abstract = "Health surveys are an important resource for monitoring population health, but selective nonresponse may impede valid inference. This study aimed to assess nonresponse bias in a population-sampled health survey in Scotland, with a focus on alcohol-related outcomes. Nonresponse bias was assessed by examining whether rates of alcohol-related harm (i.e., hospitalization or death) and all-cause mortality among respondents to the Scottish Health Surveys (from 1995 to 2010) were equivalent to those in the general population, and whether the extent of any bias varied according to sociodemographic attributes or over time. Data from consenting respondents (aged 20-64 years) to 6 Scottish Health Surveys were confidentially linked to death and hospitalization records and compared with general population counterparts. Directly age-standardized incidence rates of alcohol-related harm and all-cause mortality were lower among Scottish Health Survey respondents compared with the general population. For all years combined, the survey-to-population rate ratios were 0.69 (95% confidence interval: 0.61, 0.76) for the incidence of alcohol-related harm and 0.89 (95% confidence interval: 0.83, 0.96) for all-cause mortality. Bias was more pronounced among persons residing in more deprived areas; limited evidence was found for regional or temporal variation. This suggests that corresponding underestimation of population rates of alcohol consumption is likely to be socially patterned.",
keywords = "alcohol-related harm, bias, health surveys, nonresponse, record linkage, Scotland",
author = "Emma Gorman and Leyland, {Alastair H.} and Gerry McCartney and White, {Ian R.} and Katikireddi, {Srinivasa Vittal} and Lisa Rutherford and Lesley Graham and Linsay Gray",
note = "{\textcopyright} The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.",
year = "2014",
doi = "10.1093/aje/kwu207",
language = "English",
volume = "180",
pages = "941--948",
journal = "American Journal of Epidemiology",
issn = "0002-9262",
publisher = "Oxford University Press",
number = "9",

}

RIS

TY - JOUR

T1 - Assessing the representativeness of population-sampled health surveys through linkage to administrative data on alcohol-related outcomes

AU - Gorman, Emma

AU - Leyland, Alastair H.

AU - McCartney, Gerry

AU - White, Ian R.

AU - Katikireddi, Srinivasa Vittal

AU - Rutherford, Lisa

AU - Graham, Lesley

AU - Gray, Linsay

N1 - © The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

PY - 2014

Y1 - 2014

N2 - Health surveys are an important resource for monitoring population health, but selective nonresponse may impede valid inference. This study aimed to assess nonresponse bias in a population-sampled health survey in Scotland, with a focus on alcohol-related outcomes. Nonresponse bias was assessed by examining whether rates of alcohol-related harm (i.e., hospitalization or death) and all-cause mortality among respondents to the Scottish Health Surveys (from 1995 to 2010) were equivalent to those in the general population, and whether the extent of any bias varied according to sociodemographic attributes or over time. Data from consenting respondents (aged 20-64 years) to 6 Scottish Health Surveys were confidentially linked to death and hospitalization records and compared with general population counterparts. Directly age-standardized incidence rates of alcohol-related harm and all-cause mortality were lower among Scottish Health Survey respondents compared with the general population. For all years combined, the survey-to-population rate ratios were 0.69 (95% confidence interval: 0.61, 0.76) for the incidence of alcohol-related harm and 0.89 (95% confidence interval: 0.83, 0.96) for all-cause mortality. Bias was more pronounced among persons residing in more deprived areas; limited evidence was found for regional or temporal variation. This suggests that corresponding underestimation of population rates of alcohol consumption is likely to be socially patterned.

AB - Health surveys are an important resource for monitoring population health, but selective nonresponse may impede valid inference. This study aimed to assess nonresponse bias in a population-sampled health survey in Scotland, with a focus on alcohol-related outcomes. Nonresponse bias was assessed by examining whether rates of alcohol-related harm (i.e., hospitalization or death) and all-cause mortality among respondents to the Scottish Health Surveys (from 1995 to 2010) were equivalent to those in the general population, and whether the extent of any bias varied according to sociodemographic attributes or over time. Data from consenting respondents (aged 20-64 years) to 6 Scottish Health Surveys were confidentially linked to death and hospitalization records and compared with general population counterparts. Directly age-standardized incidence rates of alcohol-related harm and all-cause mortality were lower among Scottish Health Survey respondents compared with the general population. For all years combined, the survey-to-population rate ratios were 0.69 (95% confidence interval: 0.61, 0.76) for the incidence of alcohol-related harm and 0.89 (95% confidence interval: 0.83, 0.96) for all-cause mortality. Bias was more pronounced among persons residing in more deprived areas; limited evidence was found for regional or temporal variation. This suggests that corresponding underestimation of population rates of alcohol consumption is likely to be socially patterned.

KW - alcohol-related harm

KW - bias

KW - health surveys

KW - nonresponse

KW - record linkage

KW - Scotland

U2 - 10.1093/aje/kwu207

DO - 10.1093/aje/kwu207

M3 - Journal article

C2 - 25227767

VL - 180

SP - 941

EP - 948

JO - American Journal of Epidemiology

JF - American Journal of Epidemiology

SN - 0002-9262

IS - 9

ER -