A Study to Assess the Knowledge and Quality of Life of Pacemaker Patients with a view to Develop an Information Booklet

Chapagai, Swaty; Andrews, Gary R.; Naik, Nitish

doi:10.5958/2349-2996.2017.00022.2

Cited by 3 publications

(3 citation statements)

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“…The weakness of using questionnaires is that respondents are often not accurate in their answers so that something is overlooked, sometimes respondents deliberately give dishonest answers [28]. This study supports earlier findings that there is no association between knowledge level and quality of life [29]. The lack of a link between knowledge and quality of life might be due to patients' knowledge being about TB disease rather than particular information about the quality of life that TB patients must do.…”

Section: Knowledge and Quality Of Life In Tuberculosis Patientssupporting

confidence: 82%

Risk factors of quality of life among tuberculosis patients

Sofiana

Ayu

Wardani

et al. 2022

IJPHS

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Indonesia has the world's third highest tuberculosis (TB) burden. As a result, Indonesia continues to face TB control issues, accounting for 8% of all tuberculosis cases worldwide. The case results were made in 2018 and discovered 1,016 persons with positive smear as many as 436 TB illness can have an influence on patients' quality of life. The goal of this study was to determine the risk factors of TB patients' quality of life in Sleman Regency, Special Region of Yogyakarta, Indonesia. This research is a cross-sectional analytic observational study. Respondents were the 2nd trimester tuberculosis patients who were still receiving treatment at all Puskesmas in Sleman Regency, Yogyakarta Special Region, Indonesia in 2020. Purposive sampling was used during the sample process. The WHO quality of life (WHOQOL-BREF) questionnaire was used to assess quality of life, while the Morisky Medication Adherence Scale was used to assess knowledge, self-efficacy, family support, and medication adherence. The Chi-square test was used to analyze the data. Self-efficacy (sig=0.013; RP=2.295) and medication adherence (sig=0.014; RP=8.333) were linked to TB patients' quality of life. Knowledge (sig=0.384; RP=0.709) and family support (sig=0.227; RP=0.419) were not connected to TB patients' quality of life. In the Sleman Regency, Yogyakarta Special Region, self-efficacy and medication adherence are risk factors for quality of life among TB patients.

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Section: Knowledge and Quality Of Life In Tuberculosis Patientssupporting

confidence: 82%

Risk factors of quality of life among tuberculosis patients

Sofiana

Ayu

Wardani

et al. 2022

IJPHS

View full text Add to dashboard Cite

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“…Pacemaker is the recommended therapy for treating the conduction system disorders [1]. The primary purpose of a pacemaker is to maintain an adequate heart rate [2].…”

Section: Introductionmentioning

confidence: 99%

Untitled

2022

J. Med. Chem. Sci.

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Background: Although there is a clear clinical benefit from implantable pacemakers, part of patients is exposed to hazards associated with device implantation. One of the important issues among paced patients is pacemaker dependency, which is not an uncommon phenomenon and has a significant impact on the patient's outcomes. The purpose of the present study is to evaluate the incidence of pacemaker dependency and to determine its probable predictors. Methods: This was a cross-sectional study among patients with permanent pacemaker implantation according to guideline-recommended indications, from March 2016 to March 2017 in Yazd province. During the interrogation of the device, an electrophysiologist recorded the percentage of ventricular pacing/all events according to stored data. Pacing dependency was categorized into three groups based on pacing percentage in the analysis (group 1: below 30%, group 2: between 30-70%, and group 3: above 70%). Results: A total number of 123 patients with permanent cardiac pacemakers were enrolled in our study. The mean duration between the device implant and follow-up visit was 37.4±34.4 months. The majority of patients were female (61.8%). The mean age of participants was 69.9±15 years. None of the clinical variables including age, gender, and body mass index predicted pacing dependency percentage (P-value: 0.64, 0.88, and 0.18 respectively). However, patients with dual-chamber pacemakers were more frequently pacedependent (>70%) than single chamber pacemakers (86.8% versus 59.4 %, P-value: 0.001). Conclusion: Pacing dependency after the permanent pacemaker is much more common in our community. In addition, pacing dependency is associated with pacemaker type, which highlights the importance of device settings.

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“…(Buiting and Olthuis, 2020). Assessing the quality of life of patients post permanent pacemaker implantation in clinical practice can help nurses better understand how disease and treatment affect their lives and learn about disease-related preferences, expectations, and requirements (Chapagai, Andrews, Naik, 2017). Despite the popularization of qualityof-life research, which is reaching more and more new populations, there is still insufficient research, even in patients with implanted pacemakers in Egypt.…”

Section: Introductionmentioning

confidence: 99%