Intense parenting: a qualitative study detailing the experiences of parenting children with complex care needs
Bibliographic record
Abstract
BACKGROUND: Increased numbers of children with chronic illnesses and/or disabilities who have complex care needs are living at home. Along with the transfer of care to the home setting, parents assume the primary responsibility of their child's complex care needs. Accordingly, it becomes even more important to understand the evolving roles and challenges faced by parents of children with complex care needs in order to better support them. The aim of this paper is to present research findings that add to our understanding of the roles parents assume in parenting their children with complex care needs. METHODS: To arrive at a detailed and accurate understanding of families' perspectives and experiences, the qualitative research design of ethnography was used. In total, 68 parents from 40 families were recruited. Data collection strategies included ethnographic methods of interviewing and photovoice. Several levels of analysis generated a sociocultural theme with subthemes representing how parents experienced raising children with complex care needs within the context of their life situations. RESULTS: Intense parenting as the overarching theme refers to the extra efforts parents had to commit to in raising their children with complex care needs. Parenting was described as labour-intensive, requiring a readiness to provide care at any time. This left parents with minimal time for addressing any needs and tasks not associated with caring for their child. The main theme is supported by four sub-themes: 1) the good parent; 2) more than a nurse; 3) there's just not enough; 4) it takes a toll on the health of parents. CONCLUSIONS: Overall, parents of children with complex care needs take on more roles as well as work more intensely at these roles than parents of healthy children. This, in turn, has led to the need for additional supports and resources for parents. However, to date, parents of children with complex care needs are still lacking adequate services and supports necessary to help them in their role of intense parenting. The findings sensitize professionals to the issues confronted by parents caring for children with complex care needs. Implications for further research and clinical practice are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".