Adjusting the family's life: A grounded theory of caring for children with special healthcare needs in rural areas, Thailand
Bibliographic record
Abstract
This study aims to understand the experiences of families of children with special healthcare needs in rural areas in Thailand. Grounded theory (GT) was employed to understand families' experiences when caring for children with special healthcare needs (CSHCN) in rural areas. Forty-three family members from thirty-four families with CSHCN participated in in-depth interviews. Interviews were recorded and transcribed. The constant comparative method was used for data analysis and coding analysis. Adjusting family's life was the emergent theory which included experiencing negative effects, managing in home environment, integrating care into a community health system, and maintaining family normalization. This study describes the process that families undergo in trying to care for CSHCN while managing their lives to maintain a sense of normalcy. This theory provides some intervention opportunities for health care professionals when dealing with the complexities in their homes, communities and other ambulatory settings throughout the disease trajectory, and also indicates the importance of taking into consideration the family's cultural background.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".