Training nurses in task-shifting strategies for the management and control of hypertension in Ghana: a mixed-methods study
Bibliographic record
Abstract
BACKGROUND: Nurses in Ghana play a vital role in the delivery of primary health care at both the household and community level. However, there is lack of information on task shifting the management and control of hypertension to community health nurses in low- and middle-income countries including Ghana. The purpose of this study was to assess nurses' knowledge and practice of hypertension management and control pre- and post-training utilizing task-shifting strategies for hypertension control in Ghana (TASSH). METHODS: A pre- and post- test survey was administered to 64 community health nurses (CHNs) and enrolled nurses (ENs) employed in community health centers and district hospitals before and after the TASSH training, followed by semi-structured qualitative interviews that assessed nurses' satisfaction with the training, resultant changes in practice and barriers and facilitators to optimal hypertension management. RESULTS: A total of 64 CHNs and ENs participated in the TASSH training. The findings of the pre- and post-training assessments showed a marked improvement in nurses' knowledge and practice related to hypertension detection and treatment. At pre-assessment 26.9% of the nurses scored 80% or more on the hypertension knowledge test, whereas this improved significantly to 95.7% post-training. Improvement of interpersonal skills and patient education were also mentioned by the nurses as positive outcomes of participation in the intervention. CONCLUSIONS: Findings suggest that if all nurses receive even brief training in the management and control of hypertension, major public health benefits are likely to be achieved in low-income countries like Ghana. However, more research is needed to ascertain implementation fidelity and sustainability of interventions such as TASSH that highlight the potential role of nurses in mitigating barriers to optimal hypertension control in Ghana. TRIAL REGISTRATION: Trial registration for parent TASSH study: NCT01802372 . Registered February 27, 2013.
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 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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".