Literature DB >> 15774566

A method to determine if consenters to population surveys are representative of the target study population.

Helen F Boardman1, Elaine Thomas, Helen Ogden, David S Millson, Peter R Croft.   

Abstract

BACKGROUND: Searching medical records of study non-responders to investigate selection bias is no longer acceptable. We explore an alternative by comparing consultation rates in survey responders who consented to medical record review, with anonymized consultation rates for the total practice populations.
METHODS: Anonymized aggregated consultation rates for the year following a population-based survey were calculated for headache and a number of other conditions (chosen to reflect a mixture of chronic and episodic conditions). These rates were compared across two groups of adults: (i) responders to the survey who consented to medical record review and (ii) a 'population group' created from records of the general practices participating in the survey to represent all patients aged 18 years and over at the mid-point in the study year. The consultation rates for the conditions were compared across the two groups using direct standardization.
RESULTS: Adjusted consultation rates were similar but generally higher in the responders.
CONCLUSIONS: This alternative method applied here offers one potential approach to determine whether study respondents are representative of the population from which they were sampled with respect to general practice consultations.

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Year:  2005        PMID: 15774566     DOI: 10.1093/pubmed/fdi017

Source DB:  PubMed          Journal:  J Public Health (Oxf)        ISSN: 1741-3842            Impact factor:   2.341


  8 in total

1.  Are consenters representative of a target population?

Authors:  David S Millson
Journal:  BMJ       Date:  2005-11-05

2.  Consent bias in research: how to avoid it.

Authors:  Cornelia Junghans; Melvyn Jones
Journal:  Heart       Date:  2007-09       Impact factor: 5.994

3.  Features associated with the non-participation and drop out by socially-at-risk children and adolescents in mental-health epidemiological studies.

Authors:  Rosario Granero Pérez; Lourdes Ezpeleta; José María Domenech
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2007-02-01       Impact factor: 4.328

4.  Healthcare use in adults with insomnia: a longitudinal study.

Authors:  Richard Hayward; Kelvin P Jordan; Peter Croft
Journal:  Br J Gen Pract       Date:  2010-05       Impact factor: 5.386

Review 5.  Patient decision aids in joint replacement surgery: a literature review and an opinion survey of consultant orthopaedic surgeons.

Authors:  J A Adam; F-M Khaw; R G Thomson; P J Gregg; H A Llewellyn-Thomas
Journal:  Ann R Coll Surg Engl       Date:  2008-04       Impact factor: 1.891

6.  Assessing generalisability through the use of disease registers: findings from a diabetes cohort study.

Authors:  Michael David; Robert Ware; Maria Donald; Rosa Alati
Journal:  BMJ Open       Date:  2011-08-27       Impact factor: 2.692

7.  The influence of completing a health-related questionnaire on primary care consultation behaviour.

Authors:  Amanda Jeffery; Clare Jinks; Kelvin Jordan
Journal:  BMC Health Serv Res       Date:  2006-08-16       Impact factor: 2.655

8.  Participant recruitment in sensitive surveys: a comparative trial of 'opt in' versus 'opt out' approaches.

Authors:  Katherine J Hunt; Natalie Shlomo; Julia Addington-Hall
Journal:  BMC Med Res Methodol       Date:  2013-01-11       Impact factor: 4.615

  8 in total

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