Determinants of evidence use by frontline maternal, newborn and child health staff in selected health facilities in Ghana
Bibliographic record
Abstract
BACKGROUND: The current paper examines the level of use of evidence and factors affecting the use of evidence by frontline maternal, newborn and child health (MNCH) and reproductive and child health (RCH) staff in practice decisions in selected health facilities in Ghana. METHODS: Data on use of evidence and its correlates was collected from 509 frontline healthcare staff drawn from 44 health facilities in three regions in Ghana. Means were used to examine the level of use of evidence, whiles cross-tabulations and Partial Least Squares-based regression were used to examine factors associated with the use of evidence in practice decisions by frontline MNCH/RCH staff. FINDINGS: The findings suggest a high level of use of evidence by frontline MNCH/RCH staff in practice decisions (score of 3.98 out of 5), albeit that evidence use is skewed towards the use of practice guidelines and policies. For the antecedents of evidence use, attitude had the highest score (3.99), followed by knowledge (3.8), access to evidence (3.77) and organizational structure (3.57), using a threshold of 5. The regression results indicate that attitudes and knowledge of frontline MNCH/RCH staff, organizational structure (strongest association), years of experience, being a male and working in a mission health facility are significantly positive correlated with evidence use, whiles working in a private health facility or in the post-natal clinic is negatively correlated with the use of evidence. CONCLUSION: We argue that any effort to improve the use of evidence by frontline MNCH/RCH staff in practice decisions should focus on improving attitudes and knowledge of staff as well as challenges related to the structure of the organisation. Given however that the score for attitude was relatively high, emphases to improve evidence use should be on access to evidence and organizational structure in particular, which had the lowest score even though it has the strongest association with the use of evidence.
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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 | 0.031 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".