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Updated: Jul 25, 2026

Collection, Isolation, and Flow Cytometric Analysis of Human Endocervical Samples
Published on: July 6, 2014
Response patterns to a postal survey using a cervical screening register as the sampling frame
B Olowokure1, M Caswell, H V Duggal
1Department of Public Health and Health Strategy, South Staffordshire Health Authority, Stafford, PHLS CDSC West Midlands, 2nd Floor Lincoln House, Heartlands Hospital, Birmingham B9 5SS, UK. babatunde.olowokure@hpa.org.uk
This study on postal surveys found that while older individuals responded more, early respondents differed from late ones in affluence and attendance. Factors beyond demographics influence survey response patterns.
Area of Science:
- Public Health
- Survey Methodology
- Epidemiology
Background:
- Postal surveys are common for health research, but understanding response patterns is crucial for data validity.
- Cervical screening programs rely on accurate data collection, often through surveys.
- Identifying factors influencing survey participation can improve outreach and data representativeness.
Purpose of the Study:
- To compare characteristics of early versus late respondents in a postal survey.
- To investigate differences between respondents and non-respondents in a cervical screening survey.
- To explore factors influencing response patterns beyond basic demographics.
Main Methods:
- A random sample of 4057 women aged 20-64 years was selected from a cervical screening register.
- A postal survey was administered, with one reminder sent to non-respondents.
- Statistical analysis compared early, late, and non-respondents based on age, socioeconomic status, attendance history, and smear test results.
Main Results:
- The initial response rate was 57%, increasing to 81% after a reminder.
- Respondents were older than non-respondents, but attendance and normal smear rates were similar.
- Early respondents were more likely to be affluent, live in rural areas, be non-attenders, and have fewer inadequate smear results compared to late respondents.
Conclusions:
- Survey response patterns are influenced by factors beyond simple sociodemographic characteristics.
- Understanding the profile of early versus late respondents is important for interpreting survey data.
- Further research should explore a wider range of factors influencing participation in health surveys.
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