| Literature DB >> 31796481 |
Lisa Hurt1, Pauline Ashfield-Watt1, Julia Townson2, Luke Heslop1, Lauren Copeland1, Mark D Atkinson3, Jeffrey Horton4, Shantini Paranjothy5.
Abstract
PURPOSE: Recruitment and follow-up in epidemiological studies are time-consuming and expensive. Combining online data collection with a register of individuals who agree to be contacted about research opportunities provides an efficient, cost-effective platform for population-based research. HealthWise Wales (HWW) aims to facilitate research by recruiting a cohort of individuals who have consented to be informed about research projects, advertising studies to participants, supporting data collection on specific topics and providing access to linked healthcare data for secondary analyses. In this paper, we describe the design of the project, ongoing data collection, methods of data linkage to routine healthcare records, baseline characteristics of participants, the strengths and limitations of the register, and the ways in which the project can support researchers. PARTICIPANTS: Adults (aged 16 years and above) living or receiving their healthcare in Wales are eligible for inclusion. Participants consent to be contacted for follow-up data collection and for their details to be used to access their routinely collected National Health Service records for research purposes. Data are collected using a web-based application, with new questionnaires added every 6 months. Data collection on sociodemographic and lifestyle factors is repeated at intervals of 2-3 years. Recruitment is ongoing, with 21 779 participants alive and currently registered. FINDINGS TO DATE: 99% of participants have complete information on age and sex, and 64% have completed questionnaires on sociodemographic and lifestyle factors. These data can be linked with national health databases within the Secure Anonymised Information Linkage (SAIL) databank, with 93% of participants matching a record in SAIL. HWW has facilitated the recruitment of 43 826 participants to 15 different studies. FUTURE PLANS: The medium-term goal for the project is to enrol at least 50 000 adults. Recruitment strategies are being devised to achieve a study sample that closely models the population of Wales. Potential biosampling methods are also currently being explored. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: adults; data linkage; life-course epidemiology; public involvement; research database
Year: 2019 PMID: 31796481 PMCID: PMC7003385 DOI: 10.1136/bmjopen-2019-031705
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Website and consent. Image source: Stock images, produced by Cowshed (www.wearecowshed) on behalf of HealthWise Wales (www.healthwisewales.gov.wales) and used with permission.
Outline of data collection questionnaires, timelines and summary of completions
| Core module themes* | Brief overview of module content | Data collection period | Status in Sept-18 | |||||
| Apr-15 | Apr-16 | Oct-16 | Apr-17 | Oct-17 | Apr-18 | |||
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Consent, personal details including date of birth, gender and postcode (for the assignment of Welsh Index of Multiple Deprivation) | 21 779 | ||||||
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Ethnic group Occupation and social class (National Statistical Socioeconomic Classification, NS-SeC) | 14 433 | ||||||
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Family life: relationship status, children, caring responsibilities | 11 004 | |||||||
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Physical activity (General Practice Physical Activity Questionnaire, GPPAQ) | 14 633 | ||||||
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Smoking (current smoking, secondhand smoke exposure, e-cigarette use) | ||||||||
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Alcohol (frequency in past 12 months, binge drinking in past 7 days) | ||||||||
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Anthropometry (self-report of weight and height) | ||||||||
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Diet (self-report on whether diet is healthy, fruit, veg and sweetened beverage intake yesterday) | 14 206 | |||||||
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Mood over the past month, measured using the five-item Mental Health Inventory (MHI-5) | 14 581 | ||||||
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Resilience Research Centre Adult Resilience Measure (RRC-ARM 28) |
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Buckner Neighbourhood Cohesion Scale |
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Warwick-Edinburgh Mental Well-being Scale |
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| Live modules | ||||||||
*Pregnant women complete modified versions of the core modules.
Figure 2HealthWise Wales (HWW) data flow. SAIL, Secure Anonymised Information Linkage; SAPPHIRe, Secure Access Portal and Protected HWW Information Repository; UKSeRP, UK Secure e-Research Platform.
Characteristics of the HealthWise Wales cohort and population data from published sources for Wales
| Characteristic | HealthWise Wales | Population data for Wales from published sources |
| Total who have completed registration form | 21 779 | |
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| 16–24 years | 10% | 14%* |
| 25–44 years | 30% | 29% |
| 45–64 years | 38% | 32% |
| 65+ years | 22% | 25% |
| Completed by (% of those registered) | n=21 746 (99%) | |
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| Male | 28% | 49%† |
| Female | 72% | 51% |
| Completed by (% of those registered) | n=21 737 (99%) | |
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| White | 98% | 98%‡ |
| Other | 2% | 2% |
| Completed by (% of those registered) | n=14 912 (69%) | |
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| 1. (Higher managerial, administrative and professional occupations) | 50% | 27%¶ |
| 2. (Intermediate occupations) | 18% | 21% |
| 3. (Routine and manual occupations) | 11% | 37% |
| Other (Never-worked, long-term unemployed and full-time students) | 21% | 15% |
| Completed by (% of those completing questionnaire) | n=13 268 (97%) | |
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| Active | 35% | No comparable |
| Moderately active | 21% | data found |
| Moderately inactive | 15% | |
| Inactive | 29% | |
| Completed by (% of those completing questionnaire) | n=13 647 (98%) | |
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| Current smoker | 10% | 19%** |
| Ex-smoker | 35% | 29% |
| Never smoked | 55% | 52% |
| Completed by (% of those completing questionnaire) | n=13 881 (99%) | |
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| 23% | 24%†† |
| Completed by (% of those completing questionnaire) | n=12 229 (88%) | |
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| 50% | 40%†† |
| Completed by (% of those completing questionnaire) | n=12 229 (88%) | |
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| Score consistent with common mental disorder‡‡ | 28% | |
| Completed by (% of those completing questionnaire) | n=13 694 (99%) | |
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| 32% | 13%§§ |
| Completed by (% of those completing questionnaire) | n=13 837 (99%) | |
*Mid-year population estimates for Wales 2017, Office for National Statistics (from StatsWales, https://statswales.gov.wales/).
†Mid-year population estimates for individuals aged 16+ years in Wales 2017, Office for National Statistics (from StatsWales).
‡Population estimates for individuals aged 16+ years in Wales 2011, Office for National Statistics (from StatsWales).
§Using the National Statistics Socioeconomic Classification (NS-SEC, Office for National Statistics).
¶Population estimates for individuals aged 16–74 years in Wales, 2011 UK Census.
**Estimates for individuals 16+ years from the National Survey for Wales 2017–2018 (https://gov.wales/statistics-and-research/national-survey/?tab=el_home&topic=population_health&lang=en).
††Data for individuals aged 16+ years from the Welsh Health Survey 2015.
‡‡Kelly MJ, Dunstan FD, Lloyd K and Fone D. (2008) Evaluating cut-points for the MHI-5 and MCS using the GHQ-12: a comparison of five different methods. BMC Psychiatry 2008, 8:10.
§§Data for individuals aged 16+ years from the Welsh Health Survey 2015; asked whether they were currently being treated for ‘depression, anxiety or another mental health illness’.
BMC, BioMedCentral; GHQ-12, General Health Questionnaire; GPPAQ, General Practice Physical Activity Questionnaire; MCS, Mental Health Component Summary Score; MHI-5, Five-item Mental Health Inventory; NIHR, National Institute for Health Research.
Figure 3Proportion of participants resident in each quintile of the Welsh Index of Multiple Deprivation (WIMD), compared with the general Welsh population. HWW, HealthWise Wales.
Engagement of HealthWise Wales (HWW) participants with research advertised via the HWW platform
| Researcher | Study aim | Number of responses |
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| To validate data on physical activity collected using mobile devices | 60 |
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| To recruit participants to the NCMH cohort for mental health research | 1100 (phase I) |
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| To describe the barriers patients experience when trying to access dental care, and to explore factors that influence patients’ choice of healthcare provider when experiencing a dental problem | 80 |
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| To improve care for disabled people | 8 |
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| A survey to understand attitudes to death and dying in Wales | 2004 |
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| To understand decision-making involving adults lacking capacity | 2 |
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| To examine the prevalence of dizziness and vertigo in the general population and the potential relationship with other conditions (eg, migraine) | 2400 |
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| To examine the experience of young adults who live in families affected by stroke, multiple sclerosis or dementia and investigate their support networks and their engagement in peer support | 2 |
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| To establish an international registry for myoclonus dystonia (a rare childhood-onset hyperkinetic movement disorder that can potentially impact function, daily living, and cause significant pain and psychological problems), to characterise the condition and facilitate research | 141 |
Examples of researcher-led questionnaire modules on the HealthWise Wales platform
| Module name | Researcher | Main aim of research | Module availability | Status in Sept-18 | |||
| Oct-16 | Apr-17 | Oct-17 | Apr-18 | ||||
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| To examine patterns of and beliefs relating to consulting behaviours for respiratory tract infections |
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| To examine the acceptability of putting the costs of medicines on dispensing labels |
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| To investigate public views on the potential for re-dispensing medicines returned unused to pharmacies |
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| To examine oral health behaviours and impact of dental disease on children and families |
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| To assess awareness of skin cancer, preventative behaviours and knowledge of vitamin D |
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| To investigate factors affecting screening, prevention and early diagnosis of bowel cancer |
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| Live modules | |||||||
| Module expiry date | |||||||
Figure 4Flow diagram showing the application process for all HWW activities.