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

BackgroundEpidemiological research often requires collection of data from a representative sample of the community or recruitment of specific groups through broad community approaches. The population coverage of traditional survey methods such as mail-outs to residential addresses, and telephone contact via public directories or random-digit-dialing is declining and survey response rates are falling. There is a need to explore new sampling frames and consider multiple response modes including those offered by changes in telecommunications and internet technology.MethodsWe evaluated response rates and cost-effectiveness for three modes of survey administration (postal invitation/postal survey, postal invitation/internet survey and postal invitation/telephone survey) and two styles of contact approach (personalised and generic) in a community survey of greywater use. Potential respondents were contacted only once, with no follow up of non-responders.ResultsThe telephone survey produced the highest adjusted response rate (30.2%), followed by the personalised postal survey (10.5%), generic postal survey (7.5%) and then the internet survey (4.7% for the personalised approach and 2.2% for the generic approach). There were some differences in household characteristics and greywater use rates between respondents to different survey modes, and between respondents to personalised and generic approaches. These may be attributable to the differing levels of motivations needed for a response, and varying levels of interest in the survey topic among greywater users and non-users. The generic postal survey had the lowest costs per valid survey received (Australian $22.93), followed by the personalised postal survey ($24.75).ConclusionsOur findings suggest that postal surveys currently remain the most economic option for population-based studies, with similar costs for personalised and generic approaches. Internet surveys may be effective for specialised groups where email lists are available for initial contact, but barriers other than household internet access still exist for community-based surveys. Given the increasing recruitment challenges facing community-based studies, there is an imperative to gather contemporary comparative data on different survey modes and recruitment approaches in order to determine their strengths, limitations and costs. Researchers also need to document and report on the potential biases in the target and respondent populations and how this may affect the data collected.

[1]  Michael W. Link,et al.  Alternative Modes for Health Surveillance Surveys: An Experiment with Web, Mail, and Telephone , 2005, Epidemiology.

[2]  Olle Bälter,et al.  Web-based and Mailed Questionnaires: A Comparison of Response Rates and Compliance , 2005, Epidemiology.

[3]  D. Heerwegh,et al.  Effects of Personal Salutations in E-mail Invitations to Participate in a Web Survey , 2005 .

[4]  Stanley Presser,et al.  Changes in Telephone Survey Nonresponse over the Past Quarter Century , 2005 .

[5]  E. Weiderpass,et al.  Feasibility of Using Web-based Questionnaires in Large Population-based Epidemiological Studies , 2005, European Journal of Epidemiology.

[6]  R. Groves Nonresponse Rates and Nonresponse Bias in Household Surveys , 2006 .

[7]  Anja S. Göritz,et al.  Incentives in Web Studies: Methodological Issues and a Review , 2006 .

[8]  Jan-Eric Litton,et al.  New times, new needs; e-epidemiology , 2007, European Journal of Epidemiology.

[9]  J. Brøgger,et al.  No Increase in Response Rate by Adding a Web Response Option to a Postal Population Survey: A Randomized Trial , 2007, Journal of medical Internet research.

[10]  Edith D. de Leeuw,et al.  The Influence of Advance Letters on Response in Telephone Surveys A Meta-Analysis , 2007 .

[11]  Don A. Dillman,et al.  Personalization of Mail Surveys for General Public and Populations with a Group Identity : Results from Nine Studies , 2007 .

[12]  S. Galea,et al.  Participation rates in epidemiologic studies. , 2007, Annals of epidemiology.

[13]  Tse-Hua Shih,et al.  Comparing Response Rates from Web and Mail Surveys: A Meta-Analysis , 2008 .

[14]  K. Manfreda,et al.  Web Surveys versus other Survey Modes: A Meta-Analysis Comparing Response Rates , 2008 .

[15]  Bill Blyth,et al.  Mixed mode: The Only ‘Fitness’ Regime? , 2008 .

[16]  Robert D. Tortora,et al.  Response rate and measurement differences in mixed-mode surveys using mail, telephone, interactive voice response (IVR) and the Internet , 2009 .

[17]  M. Clarke,et al.  Methods to increase response to postal and electronic questionnaires , 2023, The Cochrane database of systematic reviews.

[18]  Ali H Mokdad,et al.  The Behavioral Risk Factors Surveillance System: past, present, and future. , 2009, Annual review of public health.

[19]  Zheng Yan,et al.  Factors affecting response rates of the web survey: A systematic review , 2010, Comput. Hum. Behav..

[20]  Mari Turunen,et al.  Evaluating housing quality, health and safety using an Internet-based data collection and response system: a cross-sectional study , 2010, Environmental health : a global access science source.

[21]  Juan Sánchez-Fernández,et al.  Improving the response rate and quality in Web-based surveys through the personalization and frequency of reminder mailings , 2010 .

[22]  Nel Roeleveld,et al.  Web-based questionnaires: the future in epidemiology? , 2010, American journal of epidemiology.

[23]  Danielle E. Ramo,et al.  Reaching young adult smokers through the internet: comparison of three recruitment mechanisms. , 2010, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[24]  J. Tolstrup,et al.  The Danish Health Examination Survey 2007-2008 (DANHES 2007-2008) , 2011, Scandinavian journal of public health.

[25]  Abdoulaye Diop,et al.  Who needs RDD? Combining directory listings with cell phone exchanges for an alternative telephone sampling frame , 2011 .

[26]  Karen L. Soderberg,et al.  Wireless substitution: state-level estimates from the National Health Interview Survey, January 2007-June 2010. , 2011, National health statistics reports.

[27]  Mick P. Couper,et al.  The Future of Modes of Data Collection , 2011 .

[28]  Don A. Dillman,et al.  Surveying the General Public over the Internet Using Address-Based Sampling and Mail Contact Procedures , 2011 .

[29]  Jeremiah Hurley,et al.  The cost-effectiveness of cash versus lottery incentives for a web-based, stated-preference community survey , 2012, The European Journal of Health Economics.

[30]  S. McCluskey,et al.  Increasing response rates to lifestyle surveys: A pragmatic evidence review , 2011, Perspectives in public health.

[31]  A. H. Berman,et al.  Risky Drinking of Alcohol in Sweden: A Randomized Population Survey Comparing Web- and Paper-based Self-reports , 2011 .

[32]  M. Roach,et al.  Increasing Web Survey Response Rates in Innovation Research: An Experimental Study of Static and Dynamic Contact Design Features , 2012 .

[33]  S. Garland,et al.  Web-Based Recruiting for Health Research Using a Social Networking Site: An Exploratory Study , 2012, Journal of medical Internet research.