Evidence map›Paper›PMID 25227767›Full record

ArticleAmerican journal of epidemiology2014

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

Emma Gorman, Alastair H Leyland, Gerry McCartney, Ian R White, Srinivasa Vittal Katikireddi, Lisa Rutherford, Lesley Graham, Linsay Gray

Abstract read
In one paragraph

Article in American journal of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Emma Gorman
Alastair H Leyland
Gerry McCartney
Ian R White
Srinivasa Vittal Katikireddi
Lisa Rutherford
Lesley Graham
Linsay Gray

Funding

Chief Scientist Office MC_A540_5TK10Chief Scientist Office SPHSU2Medical Research Council MC_EX_MR/J013498/1Medical Research Council MC_EX_UU_MR/J013498/1Medical Research Council MC_U130059812Medical Research Council MC_U130059823/MC_UU_12017/5Medical Research Council MC_UU_12017/4Medical Research Council MC_UU_12017/5Medical Research Council MR/J013498/1Medical Research Council U105260558
6 · The paper itself

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.

Indexed as

BiasHealth SurveysModels, StatisticalAdultAlcohol DrinkingCross-Sectional StudiesFemaleHumansMaleMiddle AgedPoisson DistributionRisk FactorsScotlandSocioeconomic FactorsState MedicineYoung Adultalcohol-related harmbiashealth surveysnonresponserecord linkageScotland

Identifiers

PMID25227767
PMCPMC4207717

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.