Parent Activation and Child Mental Health Service use in African American Families in a Large Cross-Sectional Study
Bibliographic record
Abstract
OBJECTIVES: 1) To describe activation skills of African American parents on behalf of their children with mental health needs. 2) To assess the association between parent activation skills and child mental health service use. METHODS: Data obtained in 2010 and 2011 from African American parents in North Carolina raising a child with mental health needs (n = 325) were used to identify child mental health service use from a medical provider, counselor, therapist, or any of the above or if the child had ever been hospitalized. Logistic regression was used to model the association between parent activation and child mental health service use controlling for predisposing, enabling, and need characteristics of the family and child. RESULTS: Mean parent activation was 65.5%. Over two-thirds (68%) of children had seen a medical provider, 45% had seen a therapist, and 36% had seen a counselor in the past year. A quarter (25%) had been hospitalized. A 10-unit increase in parent activation was associated with a 31% higher odds that a child had seen any outpatient provider for their mental health needs (odds ratio = 1.31, confidence interval = 1.03-1.67, p = 0.03). The association varied by type of provider. Parent activation was not associated with seeing a counselor or a therapist or with being hospitalized. CONCLUSION: African American families with activation skills are engaged and initiate child mental health service use. Findings provide a rationale for investing in the development and implementation of interventions that teach parent activation skills and facilitate their use by practices in order to help reduce disparities in child mental health service use.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".