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Ineffective health management in people with hypertension: Accuracy study.
- Source :
- International Journal of Nursing Knowledge; Jan2023, Vol. 34 Issue 1, p55-64, 10p
- Publication Year :
- 2023
-
Abstract
- Purpose: To analyze the accuracy of the clinical indicators of the nursing diagnosis Ineffective Health Management in people with hypertension. Methods: This is a cross‐sectional diagnostic accuracy study. The ineffective health management was investigated in 120 people with hypertension in a referral public outpatient clinic in Brazil between August and November 2020. The accuracy measures were analyzed using Rasch analysis, considering the difficulty of clinical indicator and person's ability. Results: Ineffective health management is probably present in 37.5% of people with hypertension. 'Failure to include treatment regimen in daily living' was the clinical indicator with the highest sensitivity value, and 'failure to take action to reduce risk factor' had the highest specificity value. Conclusions: Rasch analysis demonstrated that all clinical indicators contribute significantly to estimating the presence of ineffective health management in people with hypertension in the outpatient scenario. Implications for Nursing Practice: This research contributes by providing accurate clinical indicators of ineffective health management, helping nurses prescribe and deliver the appropriate nursing interventions for people with hypertension by telenursing. [ABSTRACT FROM AUTHOR]
- Subjects :
- HYPERTENSION
MEDICAL quality control
STATISTICS
KEY performance indicators (Management)
NURSING
CONFIDENCE intervals
CROSS-sectional method
CLINICAL medicine
QUESTIONNAIRES
CHI-squared test
DESCRIPTIVE statistics
SENSITIVITY & specificity (Statistics)
DATA analysis
STATISTICAL sampling
DATA analysis software
DISEASE management
TELENURSING
NURSING diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 20473087
- Volume :
- 34
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- International Journal of Nursing Knowledge
- Publication Type :
- Academic Journal
- Accession number :
- 161180961
- Full Text :
- https://doi.org/10.1111/2047-3095.12370