Literature DB >> 30890634

Collecting and exploiting data to understand a nation's sexual health needs: Implications for the British National Surveys of Sexual Attitudes and Lifestyles (Natsal).

Catherine H Mercer1, Soazig Clifton2,3, Gillian Prior3, Robert W Aldridge4, Chris Bonell5, Andrew J Copas2, Nigel Field2, Jo Gibbs2, Wendy Macdowall5, Kirstin R Mitchell6, Clare Tanton7, Nick Thomson8, Magnus Unemo9,10, Pam Sonnenberg2.   

Abstract

Entities:  

Keywords:  methodology; sexual behavior; sexual health; survey

Mesh:

Year:  2019        PMID: 30890634      PMCID: PMC6580741          DOI: 10.1136/sextrans-2018-053571

Source DB:  PubMed          Journal:  Sex Transm Infect        ISSN: 1368-4973            Impact factor:   3.519


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Accurate information about a nation’s sexual health is essential to plan and evaluate services, inform prevention efforts, and contribute to societal discourse on sexuality. In Britain, sexual health data come from a range of sources. There are world-class surveillance data on STIs and reproductive health, although these only represent people attending services and collect limited data.1 2 A number of British surveys draw on convenience samples of populations of particular interest, such as sexual health clinic attendees, men who have sex with men and particular ethnic groups,3–7 and are therefore not generalisable to the wider population. Furthermore, such surveys often focus on specific aspects of sexual health (eg, STIs), and while some nationally representative surveys have included questions on sex and relationships, space limitations mean that questions are restricted to a small number of key behaviours and outcomes.8 Since 1990, the British National Surveys of Sexual Attitudes and Lifestyles (Natsal) have provided a decennial ‘census’ of the sexual health of the nation, capturing detailed data from probability samples of the population (Natsal-1: 1990–1991; Natsal-2: 1999–2001; Natsal-3: 2010–2012). This has involved randomly selecting addresses to which a trained fieldworker calls to randomly select and invite one household member to participate in a detailed structured interview using a combination of computer-assisted face-to-face and self-completion questions, with a subsample of participants invited to provide biological samples. This design seeks to represent the population as a whole, including those who do not access services or who would not usually volunteer to take part in a sex survey, for example, those who are not sexually active. Natsal was initiated in response to the emerging HIV epidemic and has evolved to become internationally renowned in the population-based measurement of the social, behavioural and biological aspects of sexual health. Natsal has captured dramatic changes in sexual attitudes and lifestyles in Britain, such as earlier sexual debut, increasing partner numbers and same-sex experience.9 Natsal provides the evidence base for major sexual health interventions and monitoring their impact, including the National Chlamydia Screening Programme, enhanced HIV testing, HPV vaccination, the Teenage Pregnancy Strategy, and sex and relationship education. As a decade has nearly passed since Natsal-3, new data are now needed to provide updated estimates, assess change over time, and shed light on contemporary topics, such as how digital technology impacts on how people learn about sex, meet partners and access services. Furthermore, with changes to sexual health service delivery and funding, updated evidence from Natsal is essential to evaluate consequences on outcomes and inequalities, commission future services, and examine the impact of ongoing and new initiatives. It has recently been announced that a fourth wave of Natsal will be funded by Wellcome Trust as part of its Longitudinal Population Studies Strategy,10 with contributions from the Economic and Social Research Council (ESRC) and the National Institute for Health Research (NIHR). Wellcome’s new strategy follows the 2017 Longitudinal Strategic Review led by the ESRC.11 Both recognise that high-quality longitudinal studies—in their broadest sense—are essential for understanding how biological, social and environmental factors interact over time in populations to produce health outcomes.10 11 Yet they also acknowledge that such studies are expensive to run. For Natsal, a large part of the investment is spent on collecting the data, not least because of the increasing costs involved with undertaking interviewer-led, household-based probability sample surveys. As such, in designing Natsal-4 we revisited the study design and reviewed the potential methods for collecting reliable sexual health data and the extent to which they can meet the needs of data users and the wider sexual health community. Key considerations were the ability to represent the general population, provide adequate sample size, enable ‘boost’ samples of some population subgroups to ensure robust estimates (eg, young people and people from ethnic minorities), collect detailed information on a wide range of topics, collect biological samples, maintain data quality, request consent to link participants’ survey data to routine data sources, and be cost-efficient. We used these criteria to assess a number of options (table 1), relative to Natsal’s methodology to date (option 1). As part of our review, we gathered the latest evidence on the potential of mixed-mode surveys, including online components.12 However, a number of major issues still need to be overcome (eg, lower response rates, response bias, selection bias). The full scoping review, which includes the methods used by other population sex surveys internationally, is available from http://www.natcen.ac.uk/our-research/research/national-survey-of-sexual-attitudes-and-lifestyles-(natsal)/.
Table 1

Overview of design options considered for Natsal-4 and whether they meet data collection requirements based on available evidence

OptionCriteria
Cheaper delivery of dataMinimise sampling and response biasSufficient statistical powerDetailed questionnaire data including new topicsYoung person/ethnic boost samplesBiologicalsamplespossibleDatalinkagepossibleMaintain time series
1. Probability sample + interviewer-led interviewNA
2. Follow up existing probability sample survey(✕) Need to follow up for several years(✓) Need to follow up several years.(✕) Depends on survey sample size.
3. Add detailed sexual health module to existing survey(✓) Need to include for several years.(✕) Amount of detail depends on survey/sponsors.(✕) Would need separate funding.(✓) Depending on survey.(✓) Subject to agreement from survey team.(✓) For limited set of questions, depending on mode.
4. Probability-based web/telephone panel NK (✓)NK (✕)
5. Random digit dialling + telephone interviewNK (✓)NKNK (✓)NK (✕)
6. ‘Web-first’ mixed-mode surveyNK(✓) For some but not all participants.NK (✕)NK (✓)NK ()
7. Interviewer recruitment + web surveyNK (✓)NK (✕)NK (✓)NK (✓)

‘(✓)’ indicates that this is possible, depending on the specific design chosen.

‘NK’ indicates insufficient evidence available from other surveys.

‘NK (✓)’ indicates insufficient evidence, but likely to be able to deliver or partially deliver.

‘NK (✕)’ indicates insufficient evidence, but unlikely to deliver.

NA, not applicable; Natsal, National Surveys of Sexual Attitudes and Lifestyles.

Overview of design options considered for Natsal-4 and whether they meet data collection requirements based on available evidence ‘(✓)’ indicates that this is possible, depending on the specific design chosen. ‘NK’ indicates insufficient evidence available from other surveys. ‘NK (✓)’ indicates insufficient evidence, but likely to be able to deliver or partially deliver. ‘NK (✕)’ indicates insufficient evidence, but unlikely to deliver. NA, not applicable; Natsal, National Surveys of Sexual Attitudes and Lifestyles. Given the drawbacks and uncertainty around cost-savings of the alternative options considered, we decided that Natsal-4 should retain the design used by previous Natsals. This also enables the rigorous assessment of trends, capturing generational changes and broad societal shifts through the measurement of both period and birth cohort effects. Looking to the future, we seek to collaborate with survey methodologists to undertake further research on how best to optimise a mixed-mode survey for sensitive topics like Natsal, which maximises response and minimises bias. The shift across the funding landscape is also in terms of maximising investment, effort and impact.10 11 This requires researchers to be proactive in sharing their methods, data and other funded resources outside of the original research team, and to have mechanisms that will expedite this process, the objective being to enhance the quantity and range of outputs, their impact and reach, delivering added value not just for the individual study but longitudinal studies more broadly. For example, Natsal will expand the range of data on exposures, outcomes and potential confounders collected by the survey through linkage to health, administrative and geospatial data sets. There will be many opportunities for the research community, policymakers, clinicians, educators and the public to engage with, and further exploit, the Natsal resource. This extends far beyond the biobehavioural data sets and includes questionnaires, fieldwork documentation, data user guides, validated measures and tools, educational materials and a biobank of residual samples. Natsal provides a platform for the wider research and educational communities to address specific policy/scientific questions and build capacity for the next generation of sexual health researchers in the UK and internationally.
  5 in total

1.  Sexual risk behaviours and sexual health outcomes among heterosexual black Caribbeans: comparing sexually transmitted infection clinic attendees and national probability survey respondents.

Authors:  S M Gerver; P J Easterbrook; M Anderson; I Solarin; G Elam; K A Fenton; G Garnett; C H Mercer
Journal:  Int J STD AIDS       Date:  2011-02       Impact factor: 1.359

2.  Men who have sex with men in Great Britain: comparing methods and estimates from probability and convenience sample surveys.

Authors:  Philip Prah; Ford Hickson; Chris Bonell; Lisa M McDaid; Anne M Johnson; Sonali Wayal; Soazig Clifton; Pam Sonnenberg; Anthony Nardone; Bob Erens; Andrew J Copas; Julie Riddell; Peter Weatherburn; Catherine H Mercer
Journal:  Sex Transm Infect       Date:  2016-03-10       Impact factor: 3.519

3.  The sexual attitudes and lifestyles of London's Eastern Europeans (SALLEE Project): design and methods.

Authors:  Alison R Evans; Violetta Parutis; Graham Hart; Catherine H Mercer; Christopher Gerry; Richard Mole; Rebecca S French; John Imrie; Fiona Burns
Journal:  BMC Public Health       Date:  2009-10-30       Impact factor: 3.295

4.  Asking about Sex in General Health Surveys: Comparing the Methods and Findings of the 2010 Health Survey for England with Those of the Third National Survey of Sexual Attitudes and Lifestyles.

Authors:  Philip Prah; Anne M Johnson; Anthony Nardone; Soazig Clifton; Jennifer S Mindell; Andrew J Copas; Chloe Robinson; Rachel Craig; Sarah C Woodhall; Wendy Macdowall; Elizabeth Fuller; Bob Erens; Pam Sonnenberg; Kaye Wellings; Catherine H Mercer
Journal:  PLoS One       Date:  2015-08-07       Impact factor: 3.240

5.  Changes in sexual attitudes and lifestyles in Britain through the life course and over time: findings from the National Surveys of Sexual Attitudes and Lifestyles (Natsal).

Authors:  Catherine H Mercer; Clare Tanton; Philip Prah; Bob Erens; Pam Sonnenberg; Soazig Clifton; Wendy Macdowall; Ruth Lewis; Nigel Field; Jessica Datta; Andrew J Copas; Andrew Phelps; Kaye Wellings; Anne M Johnson
Journal:  Lancet       Date:  2013-11-26       Impact factor: 79.321

  5 in total
  1 in total

1.  Antimicrobial resistance in Mycoplasma genitalium sampled from the British general population.

Authors:  Rachel Pitt; Magnus Unemo; Pam Sonnenberg; Sarah Alexander; Simon Beddows; Michelle Jayne Cole; Soazig Clifton; Catherine H Mercer; Anne M Johnson; Catherine A Ison; Nigel Field
Journal:  Sex Transm Infect       Date:  2020-01-10       Impact factor: 3.519

  1 in total

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