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PubMed Publications| Keyword search (4,163 papers available) |  |
"Yang J" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Pedestrian detection in aerial image based on convolutional neural network with attention mechanism and multi-scale prediction | Yang J; Shen J; Wang S; | 41387459 ENCS |
| 2 | Technical recommendations for analyzing oxylipins by liquid chromatography-mass spectrometry | Schebb NH; Kampschulte N; Hagn G; Plitzko K; Meckelmann SW; Ghosh S; Joshi R; Kuligowski J; Vuckovic D; Botana MT; Sánchez-Illana Á; Zandkarimi F; Das A; Yang J; Schmidt L; Checa A; Roche HM; Armando AM; Edin ML; Lih FB; Aristizabal-Henao JJ; Miyamoto S; Giuffrida F; Moussaieff A; Domingues R; Rothe M; Hinz C; Das US; Rund KM; Taha AY; Hofstetter RK; Werner M; Werz O; Kahnt AS; Bertrand-Michel J; Le Faouder P; Gurke R; Thomas D; Torta F; Milic I; Dias IHK; Spickett CM; Biagini D; Lomonaco T; Idborg H; Liu J | 40392938 CHEMBIOCHEM |
| 3 | Semantically-Enhanced Feature Extraction with CLIP and Transformer Networks for Driver Fatigue Detection | Gao Z; Chen X; Xu J; Yu R; Zhang H; Yang J; | 39771685 ENCS |
| 4 | Identifying personalized barriers for hypertension self-management from TASKS framework | Yang J; Zeng Y; Yang L; Khan N; Singh S; Walker RL; Eastwood R; Quan H; | 39143621 ENCS |
| 5 | Deep model integrated with data correlation analysis for multiple intermittent faults diagnosis. | Yang J, Xie G, Yang Y, Zhang Y, Liu W | 31174854 ENCS |
| Title: | Identifying personalized barriers for hypertension self-management from TASKS framework | ||||
| Authors: | Yang J, Zeng Y, Yang L, Khan N, Singh S, Walker RL, Eastwood R, Quan H | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/39143621/ | ||||
| DOI: | 10.1186/s13104-024-06893-7 | ||||
| Publication: | BMC research notes | ||||
| Keywords: | Barriers; Hypertension; Personalized; Self-management; TASKS framework; | ||||
| PMID: | 39143621 | Category: | Date Added: | 2024-08-15 | |
| Dept Affiliation: |
ENCS
1 Department of Community Health Sciences, Faculty of Medicine, University of Calgary, Calgary, AB, Canada. 2 Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QC, Canada. 3 Department of Community Health Sciences, Faculty of Medicine, University of Calgary, Calgary, AB, Canada. yong.zeng@concordia.ca. 4 Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QC, Canada. yong.zeng@concordia.ca. 5 Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Calgary, AB, Canada. 6 Departments of Oncology and Community Health Sciences, University of Calgary, Calgary, AB, Canada. 7 Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada. 8 School of Nursing and Midwifery, Faculty of Health, Community and Education, Mount Royal University, Calgary, AB, Canada. 9 Department of Community Health Sciences, Faculty of Medicine, University of Calgary, Calgary, AB, Canada. hquan@ucalgary.ca. |
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Description: |
Objective: Effective management of hypertension requires not only medical intervention but also significant patient self-management. The challenge, however, lies in the diversity of patients' personal barriers to managing their condition. The objective of this research is to identify and categorize personalized barriers to hypertension self-management using the TASKS framework (Task, Affect, Skills, Knowledge, Stress). This study aims to enhance patient-centered strategies by aligning support with each patient's specific needs, recognizing the diversity in their unique circumstances, beliefs, emotional states, knowledge levels, and access to resources. This research is based on observations from a single study focused on eight patients, which may have been a part of a larger project. Results: The analysis of transcripts from eight patients and the Global Hypertension Practice Guidelines revealed 69 personalized barriers. These barriers were distributed as follows: emotional barriers (49%), knowledge barriers (24%), logical barriers (17%), and resource barriers (10%). The findings highlight the significant impact of emotional and knowledge-related challenges on hypertension self-management, including difficulties in home blood pressure monitoring and the use of monitoring tools. This study emphasizes the need for tailored interventions to address these prevalent barriers and improve hypertension management outcomes. |
