Literature DB >> 21462753

Increasing response rates to lifestyle surveys: a pragmatic evidence review.

S McCluskey1, A E Topping.   

Abstract

AIMS: Lifestyle surveys are often a key component of a local Joint Strategic Needs Assessment (JSNA), undertaken to inform public health planning. They are usually administered to a large number of people in order to provide a comprehensive profile of population health. However, declining response rates coupled with the under-representation of certain population groups in lifestyle survey data has led to doubts concerning the reliability of findings. In order to inform the design of their own lifestyle survey, NHS Calderdale commissioned an evidence-based review of the methodological literature relating to the administration of lifestyle surveys, with the specific aim of identifying practical and resource-efficient strategies shown to be effective for maximizing whole-population response rates.
METHODS: A pragmatic review of the published literature was undertaken, specifically to explore the most practical and resource-efficient ways to maximize lifestyle survey response rates to the most commonly used methods (postal surveys, face-to-face interviews, telephone interviews and electronic surveys). Electronic databases including MEDLINE, CINAHL, DARE, EMBASE and PsychINFO were searched. Empirical evidence published in the last 10 years was identified and citation tracking performed on all retrieved articles. An internet search for 'grey literature' was also conducted.
RESULTS: The postal questionnaire remains an important lifestyle survey tool, but reported response rates have decreased rapidly in recent years. Interviews and telephone surveys are recommended in order to supplement data from postal questionnaires and increase response rates in some population groups, but costs may be prohibitive. Electronic surveys are a cheaper alternative, but the empirical evidence on effectiveness is inconclusive. Careful planning and tailoring of survey design to the characteristics of target populations can increase response rates and representativeness of lifestyle survey data.
CONCLUSIONS: The results of this pragmatic review could provide a valuable resource for those involved in the design and administration of lifestyle surveys.

Entities:  

Mesh:

Year:  2011        PMID: 21462753     DOI: 10.1177/1757913910389423

Source DB:  PubMed          Journal:  Perspect Public Health        ISSN: 1757-9147


  15 in total

1.  Physical activity-related differences in body mass index and patient-reported quality of life in socioculturally diverse endometrial cancer survivors.

Authors:  Amerigo Rossi; Carol Ewing Garber; Gurpreet Kaur; Xiaonan Xue; Gary L Goldberg; Nicole S Nevadunsky
Journal:  Support Care Cancer       Date:  2017-02-16       Impact factor: 3.603

2.  Examining Potential Substance Use Disorders Among Former Interscholastic Athletes.

Authors:  Philip Veliz; Sean Esteban McCabe
Journal:  Subst Abus       Date:  2014-12-31       Impact factor: 3.716

3.  Incentives for college student participation in web-based substance use surveys.

Authors:  Megan E Patrick; Eleanor Singer; Carol J Boyd; James A Cranford; Sean Esteban McCabe
Journal:  Addict Behav       Date:  2012-09-04       Impact factor: 3.913

4.  Comparison of response rates and cost-effectiveness for a community-based survey: postal, internet and telephone modes with generic or personalised recruitment approaches.

Authors:  Martha Sinclair; Joanne O'Toole; Manori Malawaraarachchi; Karin Leder
Journal:  BMC Med Res Methodol       Date:  2012-08-31       Impact factor: 4.615

5.  Comparison of the Diagnostic Accuracy and Validity of a Short Version of Teen Screen Questionnaire-Mental Health (TSQ -M-Short) for Use in Community.

Authors:  M K C Nair; Venkateswaran Rajaraman; Deepa Chacko; Sushila Russell; Babu George; Leena Sumaraj; Paul Swamidhas Sudhakar Russell
Journal:  Indian J Psychol Med       Date:  2015 Apr-Jun

6.  Analysis of factors influencing telephone call response rate in an epidemiological study.

Authors:  Jorge Matías-Guiu; Pedro Jesús Serrano-Castro; José Ángel Mauri-Llerda; Francisco José Hernández-Ramos; Juan Carlos Sánchez-Alvarez; Marisa Sanz
Journal:  ScientificWorldJournal       Date:  2014-10-21

7.  The spatial structure of chronic morbidity: evidence from UK census returns.

Authors:  Peter F Dutey-Magni; Graham Moon
Journal:  Int J Health Geogr       Date:  2016-08-24       Impact factor: 3.918

8.  Improving Electronic Survey Response Rates Among Cancer Center Patients During the COVID-19 Pandemic: Mixed Methods Pilot Study.

Authors:  Shelley S Tworoger; Brian D Gonzalez; Cassandra A Hathaway; Melody N Chavez; Mika Kadono; Dana Ketcher; Dana E Rollison; Erin M Siegel; Anita R Peoples; Cornelia M Ulrich; Frank J Penedo
Journal:  JMIR Cancer       Date:  2021-08-06

9.  Determinants of HPV vaccination intentions among Dutch girls and their mothers: a cross-sectional study.

Authors:  Hilde M van Keulen; Wilma Otten; Robert A C Ruiter; Minne Fekkes; Jim van Steenbergen; Elise Dusseldorp; Theo W G M Paulussen
Journal:  BMC Public Health       Date:  2013-02-06       Impact factor: 3.295

10.  A population-based study on health and living conditions in areas with mixed Sami and Norwegian settlements - the SAMINOR 2 questionnaire study.

Authors:  Magritt Brustad; Ketil Lenert Hansen; Ann Ragnhild Broderstad; Solrunn Hansen; Marita Melhus
Journal:  Int J Circumpolar Health       Date:  2014-06-18       Impact factor: 1.228

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.