Long-term home visiting with vulnerable young mothers: an interpretive description of the impact on public health nurses
Bibliographic record
Abstract
BACKGROUND: The Nurse-Family Partnership (NFP) is a targeted, nurse home visitation program for young, low-income, first-time mothers. While the effectiveness of the NFP has been established in the United States, and is currently being evaluated in the Canadian public health care system, we have minimal understanding of how work of this nature impacts public health nurses (PHNs), an essential component of this program delivery model, on both professional and personal levels. METHODS: This two-phase study consisted of a qualitative secondary analysis of data from five focus groups conducted with PHNs (N = 6) who delivered the NFP intervention as part of a pilot study assessing feasibility and acceptability conducted in Hamilton, Ontario. The second phase, an interpretive description of individual interviews with the PHNs (N = 10) who have delivered the NFP in this context, further explored themes identified in the first phase. A practice, problem and needs analysis was conducted to describe and understand the phenomenon and promote sustainability of PHNs in this practice environment. Conventional content analysis was used to code and categorize data in the two datasets. RESULTS: The nurse-client relationship, the core elements and structure of the NFP program and support of NFP colleagues were described as rewarding factors, while workload and workplace factors were identified as significant contributors to stress. PHNs described transforming their nursing practice through redefining success and shifting to a philosophy where the client is the expert of her own life. PHNs described the personal impact of worry about clients and doubt about their effectiveness in addressing client concerns. High levels of satisfaction were described in relation to the depth and intensity of relationships with clients and seeing them succeed over time. CONCLUSIONS: PHNs are impacted in multiple ways by their work with vulnerable, young mothers. The study findings have implications for identification of strategies to support PHNs in reducing staff turnover, PHN burnout, secondary traumatic stress and compassion fatigue, and improving program delivery.
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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 | 0.019 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.014 | 0.018 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".