Factors influencing self-quantification for patients with hypertension: A cross-sectional Study

Author:

Ma Guiyue1,Fang Haiyan1ORCID,Wang Xiang1,Meng Yahui1,Zhu Yu1,Zhang Chuanying1ORCID

Affiliation:

1. Nursing College, Anhui University of Chinese Medicine, Hefei, China.

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

Reference19 articles.

1. Systolic blood pressure reduction and risk of cardiovascular disease and mortality: a systematic review and network meta-analysis.;Bundy;JAMA Cardiol,2017

2. Two-drug fixed-dose combinations of blood pressure-lowering drugs as WHO essential medicines: an overview of efficacy, safety, and cost.;Salam;J Clin Hypertens,2020

3. The management of hypertension in 2018: what should the targets be?;Ali;Curr Hypertens Rep,2019

4. Patients gather in large hospitals: the current situation of Chinese hospitals and the direction of medical reform.;Xiao;Postgrad Med J,2021

5. Self-surveillance.;Frick;EMBO Rep,2014

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