Impact of COVID-19 on perceived wellbeing, self-management and views of novel modalities of care among medically vulnerable patients in Singapore.

Abstract

Objectives

This study aims to examine the impact of COVID-19 measures on wellbeing and self-management in medically vulnerable non-COVID patients and their views of novel modalities of care in Singapore.

Methods

Patients with cardiovascular disease (CVD), respiratory disease, chronic kidney disease, diabetes and cancer were recruited from the SingHealth cluster and national cohort of older adults. Data on demographics, chronic conditions and perceived wellbeing were collected using questionnaire. We performed multivariable regression to examine factors associated with perceived wellbeing. Qualitative interviews were conducted to elicit patient's experience and thematically analyzed.

Results

A total of 91 patients participated. Male patients compared with female patients perceived a lower impact of the pandemic on subjective wellbeing. Patients with CVD compared to those having conditions other than CVD perceived a lower impact. Impacts of the pandemic were primarily described in relation to emotional distress and interference in maintaining self-care. Hampering of physical activity featured prominently, but most did not seek alternative ways to maintain activity. Despite general willingness to try novel care modalities, lack of physical interaction and communication difficulties were perceived as main barriers.

Discussion

Findings underline the need to alleviate emotional distress and develop adaptive strategies to empower patients to maintain wellbeing and self-care.

Department

Description

Provenance

Citation

Published Version (Please cite this version)

10.1177/17423953211067458

Publication Info

Yoon, Sungwon, Pei Shan Hoe, Angelique Chan, Rahul Malhotra, Abhijit Visaria, David Matchar, Hendra Goh, Bridget Seng, et al. (2021). Impact of COVID-19 on perceived wellbeing, self-management and views of novel modalities of care among medically vulnerable patients in Singapore. Chronic illness. p. 17423953211067458. 10.1177/17423953211067458 Retrieved from https://hdl.handle.net/10161/24489.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

Matchar

David Bruce Matchar

Professor of Medicine

My research relates to clinical practice improvement - from the development of clinical policies to their implementation in real world clinical settings. Most recently my major content focus has been cerebrovascular disease. Other major clinical areas in which I work include the range of disabling neurological conditions, cardiovascular disease, and cancer prevention.
Notable features of my work are: (1) reliance on analytic strategies such as meta-analysis, simulation, decision analysis and cost-effectiveness analysis; (2) a balancing of methodological rigor the needs of medical professionals; and (3) dependence on interdisciplinary groups of experts.
This approach is best illustrated by the Stroke Prevention Patient Outcome Research Team (PORT), for which I served as principal investigator. Funded by the AHCPR, the PORT involved 35 investigators at 13 institutions. The Stroke PORT has been highly productive and has led to a stroke prevention project funded as a public/private partnership by the AHCPR and DuPont Pharma, the Managing Anticoagulation Services Trial (MAST). MAST is a practice improvement trial in 6 managed care organizations, focussing on optimizing anticoagulation for individuals with atrial fibrillation.
I serve as consultant in the general area of analytic strategies for clinical policy development, as well as for specific projects related to stroke (e.g., acute stroke treatment, management of atrial fibrillation, and use of carotid endarterectomy.) I have worked with AHCPR (now AHRQ), ACP, AHA, AAN, Robert Wood Johnson Foundation, NSA, WHO, and several pharmaceutical companies.
Key Words: clinical policy, disease management, stroke, decision analysis, clinical guidelines

Tazeen Hasan Jafar

Research Professor of Global Health

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