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Predictors of Nonadherence to Planned Coronary Angiography: A Retrospective Analysis

 
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1. Title Title of document Predictors of Nonadherence to Planned Coronary Angiography: A Retrospective Analysis
 
2. Creator Author's name, affiliation, country Sutida Petsuwan; Faculty of Nursing, Prince of Songkla University, Hat Yai, Songkhla 90110,; Thailand
 
2. Creator Author's name, affiliation, country Khomapak Maneewat; Faculty of Nursing, Prince of Songkla University, Hat Yai, Songkhla 90110,; Thailand
 
2. Creator Author's name, affiliation, country Wipa Sae-Sia; Faculty of Nursing, Prince of Songkla University, Hat Yai, Songkhla 90110,; Thailand
 
2. Creator Author's name, affiliation, country Voravit Chittithavorn; Department of Surgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110,; Thailand
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) nonadherence; planned coronary angiography; predictors
 
4. Description Abstract

Objective: This study aimed to determine the predictive power of patient-related factors, socio-economic factors, condition-related factors, treatment-related factors, and health care system-related factors for nonadherence to planned coronary angiography (CAG). 
Material and Methods: A retrospective analysis was conducted on electronic medical records (EMR) of 665 patients appointed for elective CAG at Naradhiwas Rajanagarindra Heart Center from January 2018 to December 2019. One hundred and thirty-three patients with nonadherence to planned CAG were assigned to the study group; the control group consisted of 532 patients with adherence to planned CAG. 
Results: The retrospective data analysis revealed that divorced or widowed status (OR=3.07; 95% CI 1.54, 6.12), cerebrovascular disease comorbidity (OR=4.37; 95% CI 1.74, 10.96), prescribed diuretics (OR=2.24; 95% CI 1.26, 3.97), CAG wait time three months or longer (OR=3.34; 95% CI 1.46, 7.64) and history of parental cardiovascular disease or death from heart disease (OR=0.12; 95% CI 0.01, 0.95) were co-predictors of nonadherence to planned CAG. Socioeconomic- related factors had no predictive power for planned CAG nonadherence. 
Conclusion: The findings of this study may contribute to the improvement of nursing service by screening groups at high risk of nonadherence and developing appropriate interventions aimed at increasing adherence to planned CAG as well the rate of positive health outcomes.
 
5. Publisher Organizing agency, location Faculty of Medicine, Prince of Songkla University
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2023-07-21
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier https://www.jhsmr.org/index.php/jhsmr/article/view/949
 
10. Identifier Digital Object Identifier (DOI) http://dx.doi.org/10.31584/jhsmr.2023949
 
11. Source Title; vol., no. (year) Journal of Health Science and Medical Research; Vol 41, No 5 (2023): Sep-Oct
 
12. Language English=en en
 
13. Relation Supp. Files
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2023 Journal of Health Science and Medical Research Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.