Keyword search (4,163 papers available)

"Singh S" Authored Publications:

Title Authors PubMed ID
1 Comprehensive review of reinforcement learning for medical ultrasound imaging Elmekki H; Islam S; Alagha A; Sami H; Spilkin A; Zakeri E; Zanuttini AM; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A; 40567264
ENCS
2 CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning Elmekki H; Alagha A; Sami H; Spilkin A; Zanuttini AM; Zakeri E; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A; 40107020
ENCS
3 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
4 Design Principles in mHealth Interventions for Sustainable Health Behavior Changes: Protocol for a Systematic Review Yang L; Kuang A; Xu C; Shewchuk B; Singh S; Quan H; Zeng Y; 36811938
ENCS
5 Malbranchea cinnamomea: A thermophilic fungal source of catalytically efficient lignocellulolytic glycosyl hydrolases and metal dependent enzymes. Mahajan C, Basotra N, Singh S, Di Falco M, Tsang A, Chadha BS 26476165
CSFG
6 Evaluation of secretome of highly efficient lignocellulolytic Penicillium sp. Dal 5 isolated from rhizosphere of conifers. Rai R, Kaur B, Singh S, Di Falco M, Tsang A, Chadha BS 27341464
CSFG
7 Enhancing targeted antibiotic therapy via pH responsive solid lipid nanoparticles from an acid cleavable lipid. Kalhapure RS, Sikwal DR, Rambharose S, Mocktar C, Singh S, Bester L, Oh JK, Renukuntla J, Govender T 28434930
CHEMBIOCHEM

 

Title:Identifying personalized barriers for hypertension self-management from TASKS framework
Authors:Yang JZeng YYang LKhan NSingh SWalker RLEastwood RQuan H
Link:https://pubmed.ncbi.nlm.nih.gov/39143621/
DOI:10.1186/s13104-024-06893-7
Publication:BMC research notes
Keywords:BarriersHypertensionPersonalizedSelf-managementTASKS 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.

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.





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