| Literature DB >> 31509564 |
Karin Törnbom1,2, Jörgen Lundälv3, Annie Palstam1, Katharina S Sunnerhagen1,2.
Abstract
BACKGROUND: An increasing number of people with stroke live in their communities, yet the understanding of how their reintegration into society can best be facilitated is incomplete. If needs are not sufficiently met and difficulties overcome, it may result in limited participation and decreased life satisfaction for this group. We aimed to understand life after stroke through the lens of participants' cameras, and hence their views and experiences guided this study.Entities:
Mesh:
Year: 2019 PMID: 31509564 PMCID: PMC6738637 DOI: 10.1371/journal.pone.0222099
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics and clinical assessment of study participants, n (11).
| Mean years, SD (min-max) | 58, 11 (34–70) |
| Women/Men | 6/5 |
| Yes | 9 |
| No | 2 |
| Alone | 6 |
| Cohabiting | 2 |
| Married | 3 |
| No mobility aid | 6 |
| Walking stick | 3 |
| Walker-rollator | 2 |
| Motorized wheelchair (outdoors) | 2 |
| Yes | 3 |
| No | 8 |
| Ischemic stroke | 5 |
| Intracerebral hemorrhage | 6 |
| Left | 5 |
| Right | 5 |
| Bilateral | 1 |
| Mild (0–4) | 6 |
| Moderate (5–15) | 1 |
| Severe (16–42) | 4 |
| 2–4 | 3 |
| 5–7 | 3 |
| 9–12 | 3 |
| >14 | 2 |
| No | 10 |
| Yes | 1 |
| Retired | 2 |
| Sickness/activity compensation | 4 |
| Sick-leave | 1 |
| Working full-time | 4 |
| Primary school (9) | 1 |
| High school (12) | 4 |
| High school and training courses within a profession (12–14) | 3 |
| University (>15) | 3 |
| Yes | 10 |
| No | 1 |
| Self-employed mechanic | |
| Lawyer |
*Sickness compensation is commonly known by its previous term “early retirement”, it is granted if no improvement in working capacity is to be expected ever again.
¶ Sick-leave is a temporary form that is financed through sickness benefits
& NIHSS, National Institutes of Health Stroke Scale
An overall guide of the thematic analysis as outlined by Braun and Clarke [26] including features of an image-analysis [27].
| Phase 1 | Familiarize yourself with data. Read and re-read transcripts and look at the images many times (singly and in different groupings) to generate an initial list of ideas about what is in the data [ |
| Phase 2 | The production of initial codes from data. Data was coded to identify particular features of the material. These features with accompanying photos are identified as potential codes [ |
| Phase 3 | Analyse codes to see how these can be combined to form overaching themes and subthemes. Take care to study the feature of the images, and how these might visualize one or more themes [ |
| Phase 4 | Reviewing themes. A set of candidate themes are devised and this stage involves refinement of themes. Which extracts do not fit at all? Are all themes distinct? You might need to rework the themes. Generate a thematic map of the analysis [ |
| Phase 5 | Defining and naming themes. Identify the essence of what each theme is about and determine what aspect of the data that each theme captures. Collated data extracts should be organized into a coherent and internally consistent account, with accompanying quotes. If there is any lack of clarity, redefine the themes that are identified. The object is to maximise differentiation in order to find distinctive features of the text and accompanying images. Identify what is interesting about the themes and why when labelling them [ |
| Phase 6 | Producing the report: It is important that the analysis provides a concise, coherent, logical, non-repetitive, and interesting account of the story the data tell within and across themes. Extracts need to be embedded within an analytic narrative that compelling illustrates the story that you are telling about your data, and your analytic narrative needs to go beyond description of the data, and make an argument in relation to your research [ |
Fig 1A. Restaurant:”Nice but too loud!” B. Stairs by the water: “Stairs with no handrails are scary” C. Crossing the road: “I cannot pass before the light switches to red” D. Town with church: “A desire to walk every day on a flat surface like this”.
Fig 2A. Perception: “A string on the cheese slicer. After stroke, I cannot tell them apart” B. To-do notes:”I put them in a shoe or on the doormat, so I don´t miss anything” C. Ironing board:”I fasten the fabric with one-hand clamps. My surrogate hands” D. Walking down stairs backwards: “If the handrail is on my affected side, I walk backwards”.
Fig 3A. Window blinds:”This is what I see everyday. I am too tired to get out of bed” B. Hoardings: “I cannot manage to sort out my belongings” C. Door: “My front door symbolizes a huge obstacle for me to get out” D. Water and bread: “When my headache is severe I cannot cook proper food”.
Fig 4A. Silver-crafts:”A fascinating interest after stroke is making jewellery” B. Art with straws: “Making geometric art makes me totally focused and relaxed” C. Swimming: “When swimming you are not afraid of falling or losing balance” D. Art: “I very much enjoy looking at paintings after stroke. I get happy every time I see this”.
Fig 5A. With grandchildren: “They are such joy!” B. Lady with cat: “Cuddling with my cat is like receiving unconditional love” C. In the forest with friends: “Being outdoors with friends is lovely” D. Picture of relatives: “My family–rewarding and challenging”.