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Needs and problems related to sociodemographic factors of informal caregiving of people with heart failure: A mixed methods study in three European countries

Needs and problems related to sociodemographic factors of informal caregiving of people with heart failure: A mixed methods study in three European countries

Abstract

Aims

To explore caregivers' needs and problems in three European countries and associate the clusters of caregivers' needs with their sociodemographic characteristics. Design: A qualitative focused mixed methods design was used.

Design

A qualitative focused mixed methods design was used

Methods

 In total, 52 caregivers of heart failure (HF) people were interviewed in three European countries between March 2017 and December 2018. Transcripts were analysed using the seven-phase method of the exploratory multidimensional analysis according to Fraire with Reinert lexical classes findings were organized in dendrograms. Mayring's content analysis was also performed.

Results

Three clusters of caregivers were identified: spouses, adult children and nonfamily members. Caregivers not only provide HF patients with vital unpaid support for their physical and emotional needs, but they are continually trying to cope with their social isolation and deteriorating health.

Conclusions

Informal caregiving emerged as a complex process influenced by various sociodemographic factors. Gender, relationship type and economic status are the important factors to be considered planning to develop approaches to address the needs of caregivers serving people with heart failure

Impact

A comprehensive understanding of the nature of informal caregiving of individuals with heart failure, the complexity of the real-world sociodemographic and cultural factors is warranted. The use of the EMDA method gave us the possibility of processing large masses of qualitative data through rapid, complex calculations. In detail, AATD allowed us to study in deep the significant fuzziness of what caregivers expressed and to analyse the content of the entire interviews and to produce global knowledge by using multi-dimensional statistical methods to grasp the fundamental sense of the interviews, beyond the simple words.

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