Health engagement: a systematic review of tools modifiable for use with vulnerable pregnant women
Bibliographic record
Abstract
OBJECTIVE: To examine available health engagement tools suitable to, or modifiable for, vulnerable pregnant populations. DESIGN: Systematic review. ELIGIBILITY CRITERIA: Original studies of tool development and validation related to health engagement, with abstract available in English, published between 2000 and 2022, sampling people receiving outpatient healthcare including pregnant women. DATA SOURCES: CINAHL Complete, Medline, EMBASE and PubMed were searched in April 2022. RISK OF BIAS: Study quality was independently assessed by two reviewers using an adapted COSMIN risk of bias quality appraisal checklist. Tools were also mapped against the Synergistic Health Engagement model, which centres on women's buy-in to maternity care. INCLUDED STUDIES: Nineteen studies were included from Canada, Germany, Italy, the Netherlands, Sweden, the UK and the USA. Four tools were used with pregnant populations, two tools with vulnerable non-pregnant populations, six tools measured patient-provider relationship, four measured patient activation, and three tools measured both relationship and activation. RESULTS: Tools that measured engagement in maternity care assessed some of the following constructs: communication or information sharing, woman-centred care, health guidance, shared decision-making, sufficient time, availability, provider attributes, discriminatory or respectful care. None of the maternity engagement tools assessed the key construct of buy-in. While non-maternity health engagement tools measured some elements of buy-in (self-care, feeling hopeful about treatment), other elements (disclosing risks to healthcare providers and acting on health advice), which are significant for vulnerable populations, were rarely measured. CONCLUSIONS AND IMPLICATIONS: Health engagement is hypothesised as the mechanism by which midwifery-led care reduces the risk of perinatal morbidity for vulnerable women. To test this hypothesis, a new assessment tool is required that addresses all the relevant constructs of the Synergistic Health Engagement model, developed for and psychometrically assessed in the target group. PROSPERO REGISTRATION NUMBER: CRD42020214102.
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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 | 0.034 | 0.145 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.013 |
| Bibliometrics | 0.020 | 0.021 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".