| Literature DB >> 31488131 |
Kristin Häikiö1,2, Mette Sagbakken3, Jorun Rugkåsa4,5.
Abstract
BACKGROUND: Dementia is a cause of disability and dependency associated with high demands for health services and expected to have a significant impact on resources. Care policies worldwide increasingly rely on family caregivers to contribute to service delivery for older people, and the general direction of health care policy internationally is to provide care in the community, meaning most people will receive services there. Patient safety in primary care is therefore important for future care, but not yet investigated sufficiently when services are carried out in patients' homes. In particular, we know little about how family carers experience patient safety of older people with dementia in the community.Entities:
Keywords: Alzheimer disease; Community health services; Dementia; Family caregiver; Frail elderly; Health care quality, access and evaluation; Patient safety; Primary health care
Mesh:
Year: 2019 PMID: 31488131 PMCID: PMC6728989 DOI: 10.1186/s12913-019-4478-2
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Characteristics of the sample at the time of the interview, n = 23
| Characteristics | ||
|---|---|---|
| Gender, n (%): | ||
| Female: | 17 (74) | |
| Male: | 6 (26) | |
| Age, years min-max (median): | 44–83 (62) | |
| Relationship, n (%): | ||
| Spouses | 12 (52) | |
| Adult children | 9 (39) | |
| Adult siblings | 2 (9) | |
| Geographya, n (%): | Urban areas, | Rural areas, |
| North of Norway, | 0 | 6 |
| East of Norway, | 14 | 3 |
| Living arrangements, n (%): | ||
| Shared household with the person with dementia | 11 (48) | |
| Not sharing household with the person with dementia | 6 (26) | |
| Care recipient lived in nursing home | 6 (26) | |
aRural areas = municipalities with less than 20.000 inhabitants, Urban areas = municipalities with more than 20.000 inhabitants. We classified patients’ home municipality into rural and urban based on a combination of population density and proximity to regional centers and other towns/cities first calculated by Rugkåsa et al. [42] and available on request
Analysis made in four stages, combining different techniques
| Stage 1 | Stage 2 | Stage 3 | Stage 4 |
|---|---|---|---|
| Transcribing and first impressions | Interim analysis | Inductive coding | Connecting codes and themes |
• Interviews transcribed verbatim, usually before the next interview was conducted [ • Transcribing while listening shaped initial overall impressions and informed subsequent interviews [ • Naïve reading gave an overview of within-case experiences and perspectives [ | • Memo-writing and the constant comparison method were used to track and elaborate differences and similarities between cases [ • Initial interpretative analysis conducted to understand different aspects: 1) describing how participants understood themselves, 2) interpreting the meaning of their narratives, 3) interpreting underlying and hidden interests, hidden agendas and using critical interpretation [ • Emerging themes were compared to earlier research. | • NVIVO (v. 11) was used to break the text into smaller units [ • Inductive, line-by-line coding resulted in 1383 descriptive and interpretive codes [ • These were organized hierarchically in 53 main codes and numerous sub-codes [ | • Codes were interpreted and abstracted into themes [ • Mind-mapping in NVIVO connects codes to themes. • Themes that integrated impressions from earlier phases were followed [ • A high-level theme of “protecting the person with dementia from harm” was identified. • Codes within that theme were categorized into 4 protective practices described by participants, related to potential physical, economic, emotional and relational harm. |
Fig. 1The potential negative feedback loop