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Factors influencing self-quantification for patients with hypertension: A cross-sectional Study
Guiyue Ma1, Haiyan Fang, Xiang Wang
1Nursing College, Anhui University of Chinese Medicine, Hefei, China.
Insights
Patients with hypertension show lower self-quantification (SQ) if they lack medical insurance, have lower education, are older, or have no complications. Targeted interventions are needed to improve SQ in these groups.
Area of Science:
- Health Sciences
- Behavioral Science
- Medical Sociology
Background:
- Self-quantification (SQ) involves individuals tracking personal health data.
- Hypertension management requires active patient participation and monitoring.
- Understanding SQ levels in hypertension patients is crucial for effective self-management.
Purpose of the Study:
- To investigate the level of self-quantification (SQ) among patients with hypertension.
- To identify factors influencing SQ behaviors in this patient population.
Main Methods:
- A cross-sectional study involving 400 hypertension patients from diverse healthcare settings.
- Data collected using a self-quantification scale.
- Statistical analyses included t-tests, ANOVA, and multiple linear regression.
Main Results:
- The overall self-quantification score was 96.64 ± 14.16 (average dimension score: 3.22 ± 0.47).
- Medical insurance type, education level, age, and presence of complications significantly influenced SQ.
- Patients without insurance, lower education, older age, and no complications exhibited lower SQ.
Conclusions:
- Specific demographic and clinical factors are associated with lower self-quantification in hypertension patients.
- Healthcare providers should develop targeted interventions for vulnerable patient groups.
- Enhancing SQ can improve self-management and outcomes for individuals with hypertension.
Abstract:
This study aimed to investigate the level of self-quantification among patients with hypertension and identify the factors influencing this behavior. This study aimed to investigate self-quantification levels and identify influencing factors among 400 patients diagnosed with hypertension. Employing a convenience sampling method, the research was conducted across diverse healthcare settings, including a tertiary hospital, 2 community hospitals, 2 pension institutions, and 5 residential areas. Participants underwent assessment using a self-quantification scale. The collected data underwent thorough analysis using various statistical methods, including descriptive analysis for an overview, 2 independent samples t test for mean comparisons, one-way analysis of variance for variations among groups, and multiple linear regression analysis to identify influential factors. This robust methodology was applied to gain comprehensive insights into the self-quantification behaviors of patients with hypertension. The total self-quantification score for patients with hypertension was found to be (96.64 ± 14.16). The average value for all dimensions was (3.22 ± 0.47). Notably, medical insurance type, education level, age, and complications were identified as significant factors influencing self-quantification among patients with hypertension. The study concludes that patients without medical insurance, with lower education levels, older age, and no complications tended to have lower levels of self-quantification. These findings underscore the necessity for targeted interventions to improve self-quantification in these specific patient groups. By addressing the identified influencing factors, healthcare providers can implement measures to enhance self-quantification among patients with hypertension.
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