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Effects of Home Visits to Vulnerable Young Families

2000· review· en· W1970935956 on OpenAlexaboutno aff
Margaret H. Kearney, Ruth York, Janet A. Deatrick

Bibliographic record

VenueJournal of Nursing Scholarship · 2000
Typereview
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionNursingCoachingPovertyMedicineContext (archaeology)Intervention (counseling)Family medicinePsychology

Abstract

fetched live from OpenAlex

PURPOSE: Nurses' home visits to new parents have been replaced in many high-need communities by nonprofessional visits without clear evidence of effectiveness. Previous reviews of home visiting research have combined nurse and non-nurse interventions and have pooled studies from the US, where home visiting is mainly limited to low-income families, with those from nations where home visiting is a universal service. This integrative review was focused on nurse-delivered interventions in the US and Canada to identify the nursing-specific models with the greatest effect in this cultural context. Evaluation of support for social ecology theory was a secondary aim. DESIGN: The sample consisted of 20 experimental and quasi-experimental studies of home nursing interventions for families of newborn infants who were vulnerable because of poverty, social risks, or prematurity. METHODS: Each report was examined systematically using specific rules of inference and a scoring system for methodological quality. Intervention effects on five outcome domains were described. FINDINGS: Maternal outcomes, maternal-infant interaction, and parenting were more often influenced than was child development, except in preterm infants. Well-child health care did not improve. Effective programs generally began in pregnancy, included frequent visits for more than a year, had well-educated nurses, and were focused on building a trusting relationship and coaching maternal-infant interaction. Social ecology theory was partially supported. CONCLUSIONS: Future nurse home-visiting research should test a combination of these effective components. Nurses can use this information to seek funding of nurse-delivered interventions for vulnerable families.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.365
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations61
Published2000
Admission routes1
Has abstractyes

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