| Literature DB >> 35938670 |
Aqeela Mahomed1, Chrisma Pretorius1.
Abstract
Townships and rural areas endure difficult circumstances such as poverty, unemployment, low educational levels, unstable income sources, socioeconomic deprivation and the lack of transportation. Furthermore, psychosocial issues such as crime, violence and substance abuse are additional contextual factors prevalent within South African townships. There has been a paucity of research focussing on the impact of contextual and socioeconomic conditions on the dementia family caregiver experience. This qualitative study aimed to address this gap. Semi-structured interviews were conducted with 30 family caregivers via purposeful sampling methods. Data analysis using Reflexive Thematic Analysis (RTA) generated four broad themes, namely - (1). Poverty, (2). Crime, Violence and Substance Abuse, (3). Practical Challenges and (4). A Sense of Normalcy. The findings of this study depict the socioeconomic conditions of family caregivers living in Soweto and its impact on dementia caregiving. The majority of the family caregivers in this study were unemployed and identified the financial aspects of caregiving as a significant strain. Beyond financial aspects, practical challenges that some family caregivers reported included spatial constraints and insufficient material resources. Caregivers raised safety concerns due to the dangers that this socioeconomic context posed. However, there was an implied sense of normalcy and a reluctance to identify challenges that caregivers endured. Recommendations for further research and its implications for public health policies and important initiatives to advocate for dementia caregivers and their family members are outlined.Entities:
Keywords: dementia; family caregiver; financial burden; psychosocial stressors; township
Mesh:
Year: 2022 PMID: 35938670 PMCID: PMC9483691 DOI: 10.1177/14713012221117905
Source DB: PubMed Journal: Dementia (London) ISSN: 1471-3012
Inclusion Criteria for the study.
| 1. Caregivers should have already received a diagnosis of dementia for their family member |
| 2. Caregivers should be a family member of the person with dementia |
| 3. In addition to the above, caregivers should reside in the same home in Soweto as their family member diagnosed with dementia |
| 4. Participants should be primarily responsible for activities of daily living for their family member, such as bathing, feeding, dressing, toileting, and medication management |
| 5. Family caregivers should be taking care of their family member for at least 1 year |
| 6. Caregivers should be comfortable conversing in English |
| 7. Caregivers should be 18 years or older |
Sociodemographic information of participants.
| Sociodemographic Variable | Category | No of Participants |
|---|---|---|
| Age (years) | 18–25 | 3 |
| 25–40 | 5 | |
| 41–59 | 16 | |
| 60 + | 6 | |
| Gender | Male | 9 |
| Female | 21 | |
| Religion | Christian | 20 |
| Traditional african | 4 | |
| Spiritual | 2 | |
| No religion* | 4 | |
| Employment status | Employed | 3 |
| Unemployed | 22 | |
| Self-employed | 3 | |
| Pensioner | 2 | |
| Highest level of education | Primary | 1 |
| Secondary | 18 | |
| Tertiary | 11 | |
| Type of housing | Formal (brick house) | 25 |
| Informal settlement | 5 | |
| Basic sanitation | Flush toilet inside the home | 25 |
| Toilet outside the home | 5 | |
| Water & electricity | Access | 30 |
| No access | 0 | |
| Transportation | Own car or family car | 13 |
| Public transport | 17 |
*Note: ‘No religion’ refers to the number of participants who stated that they do not ascribe to any religious denomination.
Data analysis process.
| Stage | Analysis process |
|---|---|
| Familiarisation with the data | The authors immersed themselves into the data by reading through the transcripts while simultaneously listening to the audio to ensure the accuracy of the transcriptions. This enabled the authors to recall the interview atmosphere and note any reflections or observations that emerged—each new reading and listening to the audio allowed for further insights. |
| Generating initial codes | Thorough notes were produced that reflected the transcripts and audio recordings. This created initial codes to organize the data into meaningful clusters based on the detail provided by the participant. Due to the copious amount of data generated, qualitative data analysis software – ATLAS.ti – was used to facilitate this step and assist with the subsequent thematic process. |
| Generating initial themes | Using ATLAS.ti, the connections between the identified codes were categorized into themes based on shared conceptualizations. Each category was assigned a descriptive label, and the meanings of and relationships between codes were deciphered. |
| Reviewing potential themes | Patterns across coded data were identified, and the entire data set was reviewed. Overlapping themes were collapsed and refined. |
| Defining and naming themes | A list of major themes and subthemes were categorised, and the narrative of the themes was identified and conceptualised within the broader story of the data set in response to the research questions. |
| Producing the report | A narrative account of participant data was presented using short excerpts from the transcripts to convey our salient findings in response to our research questions. |