Informal and formal care preferences and expected willingness of providing elderly care in Germany: Protocol for a mixed-methods study

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De Jong, L.; Plöthner, M.; Stahmeyer, J.T.; Eberhard, S.; Zeidler, J. et al.: Informal and formal care preferences and expected willingness of providing elderly care in Germany: Protocol for a mixed-methods study. In: BMJ Open 9 (2019), Nr. 1, e023253. DOI: https://doi.org/10.1136/bmjopen-2018-023253

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/4424

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Sum total of downloads: 376




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Introduction: In Germany, the number of elderly people in need of care is expected to increase from 2.4 million in 2015 to 3.2 million in 2030. The subsequent rise in demand for long-term care facilities is unlikely to be met by the current care structures and available staff. Additionally, many Germans still prefer to be cared for at home for as long as possible. In light of recent changes, such as increasing employment rates of women and growing geographical distances of family members, informal caregiving becomes more challenging in the future. The aim of this study is to explore preferences for informal and formal care services in the German general population, as well as the expected willingness of providing elderly care. Methods and analysis: A mixed-methods approach will be used to explore care preferences and expected willingness of providing elderly care in the German general population. A systematic literature review will be performed to provide an overview of the current academic literature on the topic. Qualitative interviews will be conducted with informal caregivers, care consultants and people with no prior caregiving experiences. A labelled discrete choice experiment will be designed and conducted to quantitatively measure the preferences for informal and formal care in the German general population. People between 18 and 65 years of age will be recruited in cooperation with a (regional) statutory health insurance (AOK Lower Saxony). A mixed multinomial logit regression model and a latent class finite mixture model will be used to analyse the data and test for subgroup differences in care preferences. Ethics and dissemination: The study has been approved by the Committee for Clinical Ethics of the Medical School in Hannover. Data will be treated confidential to ensure the participants' anonymity. The results will be discussed and disseminated to relevant stakeholders in the field.
License of this version: CC BY-NC 4.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Forschungszentren

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 272 72.34%
2 image of flag of United States United States 46 12.23%
3 image of flag of China China 7 1.86%
4 image of flag of Thailand Thailand 5 1.33%
5 image of flag of France France 5 1.33%
6 image of flag of Czech Republic Czech Republic 5 1.33%
7 image of flag of Russian Federation Russian Federation 4 1.06%
8 image of flag of India India 3 0.80%
9 image of flag of Indonesia Indonesia 3 0.80%
10 image of flag of United Kingdom United Kingdom 3 0.80%
    other countries 23 6.12%

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