A theory of maternal engagement with public health nurses and family visitors
Bibliographic record
Abstract
BACKGROUND: Home visiting by public health nurses and family visitors is promoted as an important intervention for enhancing parent and child development. Mothers of children at-risk for developmental delays tend to be the most difficult to access and engage, and commonly drop out of home visiting programmes prematurely. PURPOSE: This paper reports a study developing a theory that describes the process by which mothers of children at-risk engage with public health nurses and family visitors in a blended home visiting programme. METHODS: Grounded theory was used to guide the collection, recording, organization and analysis of the data. A purposeful sample of 20 mothers receiving public health nurse and family visitor home visits were recruited from a public health unit in Canada. Data were collected through client record reviews and 29 in-depth interviews that explored participants' experiences, beliefs and expectations about engagement. Data collection and analysis continued until all categories were saturated. FINDINGS: Mothers felt vulnerable and frequently powerless when they allowed the service providers into their home. Mothers with children at-risk engage with public health nurses and family visitors through a basic social process of limiting family vulnerability, which has three phases: (1) overcoming fear; (2) building trust; and (3) seeking mutuality. The personal characteristics, values, experiences and actions of the public health nurse, family visitor and mother influence the speed at which each phase is successfully negotiated and the ability to develop a connected relationship. CONCLUSION: Public health nurses working with families at risk need to identify client fears and perceptions related to home visiting, and to explain the role of public health nurses and family visitors to all family members. Given the importance that mothers place on the development of an interpersonal relationship, it is important for home visitors continually to assess the quality of their relationships with clients.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.021 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".