A theory guided nursing intervention for management of hypertension among adults at rural area
Bibliographic record
Abstract
Background and objective : Hypertension is one of the most important preventable causes of premature morbidity and mortality in the world. Many people with hypertension both in developing and developed countries have no adequate control of their blood pressure. Lifestyle modification and adherence to antihypertensive drugs play an important role in controlling hypertension and in preventing its long-term complications. Aim: This study was conducted to assess the effect of application of Pender's Health Promotion Model on management of hypertension among adults in rural area. Methods : Quasi-experimental design was utilized. The sample of this study was a purposive sample of 150 adults with hypertension. Setting: This study was conducted at El-Shahid Fekry village and Abu-Mashhour village at Menoufia Governorate. Tools used were (1) An interview questionnaire containing three parts of the model: a) Individual characteristics and experience, b) behavior-specific cognitions and affect, and c) behavioral outcomes. (2) Physical measurement included anthropometric measurements. Results : The highest percentages of hypertension were among age group between 50-60 years (44.7%), female (69.3%), and illiterate (34.7%). There was statistical significant improvement among the study group than the control group at the posttest of the systolic and diastolic blood pressure in relation to the components of Pender’s health promotion model ( p = .0001). Conclusions and recommendations : Application of Pender’s Health Promotion Model was effective in management of hypertension. Also, nursing educational intervention was successful in improving knowledge, lifestyle behaviors and blood pressure measurement among adults in the study group than the control group. Recommendations: Health education programs to increase awareness of adults about risk factors of hypertension and the disease process is essential to empower and motivate them to adopt healthy lifestyle and adhere to medication to manage the disease and prevent complication.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".