Abstract
Recruiting older people as participants in research projects based in the use of new information and communication technologies (ICTs) is a challenge for health researchers, especially because persons with low IT skills self-perception are difficult to reach, but also when the eligibility criterion related to the technologies is sophisticated. This chapter presents a reflection in reference to the challenges, limitations and idiosyncrasies when researchers confront different recruiting situations and strategies to overcome the barriers to contact this audience during the NESTORE project fieldwork development.
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References
Demographic profile of the older population. In: World ageing 1950–2050. United Nations (UN): United Nations, Department of Economic and Social Affairs, Population Division (2015). Retrieved December 15, 2020, from https://www.un.org/esa/population/publications/worldageing19502050/pdf/90chapteriv.pdf.
Bouillon, K., Kivimaki, M., Hamer, M., et al. (2013). Measures of frailty in population-based studies: An overview. BMC Geriatrics, 13, 64. https://doi.org/10.1186/1471-2318-13-64.
Clegg, A., et al. (2013). Frailty in elderly people. The Lancet, 381(9868), 752–762.
Davaki, K. (2018). The underlying causes of the digital gender gap and possible solutions for enhanced digital inclusion of women and girls. FEMM: Women's Rights and Gender Equality. Retrieved December 15, 2020, from https://www.europarl.europa.eu/RegData/etudes/STUD/2018/604940/IPOL_STU(2018)604940_EN.pdf.
Einolf, C. (2010). Gender differences in the correlates of volunteering and charitable giving. Nonprofit and Voluntary Sector Quarterly, 40(6). https://doi.org/10.1177/0899764010385949.
Eurostat. (2015a). People in the EU: Who are we and how do we live? Luxembourg: Eurostat. Retrieved December 15, 2020, from https://ec.europa.eu/eurostat/statistics-explained/index.php/People_in_the_EU_%E2%80%93_statistics_on_an_ageing_society#The_elderly_living_alone.
Eurostat. (2015b). Statistics on an aging society: The elderly living alone. People in the EU: Who are we and how do we live? Luxembourg: Eurostat. Retrieved December 15, 2020, from https://ec.europa.eu/eurostat/statistics-explained/index.php/People_in_the_EU_%E2%80%93_statistics_on_an_ageing_society#The_elderly_living_alone.
Eurostat’s statistics on information and communication technologies (ICTs). Retrieved December 15, 2020, from https://ec.europa.eu/eurostat/web/information-society/overview.
Eurostat. (2020). European Health Interview Survey (EHIS). Retrieved December 27, 2020, from https://ec.europa.eu/eurostat/web/microdata/european-health-interview-survey.
European Parliamentary Research Service. (2014). Older people in Europe. Retrieved December 15, 2020, from: https://www.europarl.europa.eu/RegData/bibliotheque/briefing/2014/140811/LDM_BRI(2014)140811_REV1_EN.pdf.
Europeans of retirement age: Chronic diseases and economic activity. RIVM (2012). Retrieved December 15, 2020, from https://ec.europa.eu/health//sites/health/files/major_chronic_diseases/docs/rivm_report_retirement_en.pdf.
Félix-Redondo, F. J., Grau, M., & Fernández-Bergés, D. (2013). Cholesterol and cardiovascular disease in the elderly. Facts and gaps. Aging and Disease, 4(3), 154–169.
Fried, L. P., Tangen, C. M., Walston, J., Newman, A. B., Hirsch, C., Gottdiener, J., … McBurnie, M. A. (2001). Frailty in older adults: Evidence for a phenotype. Journals of Gerontology - Series A Biological Sciences and Medical Sciences, 56(3), 146–157. https://doi.org/10.1093/gerona/56.3.m146.
Golomb, B. A., Chan, V. T., Evans, M. A., Koperski, S., White, H. L., & Criqui, M. H. (2012). The older the better: Are elderly study participants more non-representative? A cross-sectional analysis of clinical trial and observational study samples. British Medical Journal Open, 2(6), e000833.
Hanlon, P., Nicholl, B. I., Jani, B.D., Lee, D., McQueenie, R., & Mair, F. S. (2018) Frailty and pre-frailty in middle-aged and older adults and its association with multimorbidity and mortality: A prospective analysis of 493 737 UK Biobank participants. Lancet Public Health, 3(7), e323-e332. https://doi.org/10.1016/S2468-2667(18)30091-4. Epub 2018 Jun 14. PMID: 29908859; PMCID: PMC6028743.
Herzog, A. R., & Kulka, R. A. (1989). Telephone and mail surveys with older populations: A methodological overview. In Lawton, M. P., & Herzog, R. A. (Eds.), Special research methods for gerontology (pp. 69–89). Amityville: Baywood Publishing.
Hughson, J. A., Woodward-Kron, R., Parker, A., et al. (2016). A review of approaches to improve participation of culturally and linguistically diverse populations in clinical trials. Trials, 17(1), 263.
Kammerer, K., Falk, K., Herzog, A., & Fuchs, J. (2019). How to reach ‘hard-to-reach’ older people for research: The TIBaR model of recruitment. Survey Methods: Insights from the Field. Retrieved from https://surveyinsights.org/?p=11822.
McHenry, J. C., Insel, K. C., Einstein, G. O., Vidrine, A. N., Koerner, K. M., & Morrow, D. G. (2015). Recruitment of older adults: Success may be in the details. The Gerontologist, 55(5), 845–853.
McMurdo, M. E., Roberts, H., Parker, S., Wyatt, N., May, H., Goodman, C., et al. (2011). Improving recruitment of older people to research through good practice. Age and Ageing, 40(6), 659–665. https://doi.org/10.1093/ageing/afr115.
Mody, L., Miller, D. K., McGloin, J. M., et al. (2008). Recruitment and retention of older adults in aging research. Journal of the American Geriatrics Society, 56(12), 2340–2348.
National Cholesterol Education Program (NCEP). (2002). Expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (ATP III). Third report of the National Cholesterol Education Program (NCEP). Final Report. Circulation, 106, 3143–21.
Rockwood, K., Andrew, M., & Mitnitski, A. (2007). A comparison of two approaches to measuring frailty in elderly people. Journals of Gerontology - Series a Biological Sciences and Medical Sciences, 62(7), 738–743. https://doi.org/10.1093/gerona/62.7.738.
Scholz, N. (2020). Addressing health inequalities in the European Union: Addressing health inequalities in the European Union. https://www.europarl.europa.eu/RegData/etudes/IDAN/2020/646182/EPRS_IDA(2020)646182_EN.pdf.
Theou, O., Cann, L., Blodgett, J., Wallace, L. M., Brothers, T. D., & Rockwood, K. (2015). Modifications to the frailty phenotype criteria: Systematic review of the current literature and investigation of 262 frailty phenotypes in the Survey of Health, Ageing, and Retirement in Europe. Ageing Research Review, 21, 78–94. https://doi.org/10.1016/j.arr.2015.04.001. Epub 2015 Apr 4. PMID: 25846451.
Veludo-de-Oliveira, T. M., Pallister, J. G., & Foxall, G. R. (2015) Unselfish? Understanding the role of altruism, empathy, and beliefs in volunteering commitment. Journal of Nonprofit & Public Sector Marketing, 27(4), 373–396. https://doi.org/10.1080/10495142.2015.1080504.s
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Fernandez-Maldonado, L. et al. (2021). Challenges, Limitations and Methodologies to Be Applied in the Development of an ICT-Based Intervention for Older People. In: Andreoni, G., Mambretti, C. (eds) Digital Health Technology for Better Aging. Research for Development. Springer, Cham. https://doi.org/10.1007/978-3-030-72663-8_13
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