Publications by authors named "David Sunkersing"
Article Synopsis
- The study explores the implementation of a digital health intervention (DHI) designed for supporting self-management among long COVID patients, involving a patient app and a clinician dashboard.
- Using qualitative analysis and Normalisation Process Theory, researchers found that the DHI was adaptable to various healthcare settings, enhancing collaboration among healthcare professionals while acknowledging the necessity for in-person care.
- The findings suggest that DHIs can potentially transform traditional healthcare engagement patterns, emphasizing the importance of organizational context and individual experiences in successful implementation.
Objectives: This study explores the influence of clinic-led onboarding and interaction processes on patient engagement within a digital health program for long COVID care, the Living with COVID Recovery (LWCR) program. We compared clinical practices and patient engagement levels across seven clinics utilising LWCR, gaining insights that could optimise digital health interventions (DHIs) for long COVID care.
Methods: Using a mixed-methods approach, we conducted qualitative interviews with clinicians from seven clinics (out of thirty five) to understand their onboarding and interaction strategies for the LWCR program.
Objectives: To examine trajectories of functional limitations, fatigue, health-related quality of life (HRQL) and societal costs of patients referred to long COVID clinics.
Design: A population-based longitudinal cohort study using real-time user data.
Setting: 35 specialised long COVID clinics in the UK.
Background: Digital health interventions (DHIs) could support prevention and management of cardiometabolic disease. However, those who may benefit most often experience barriers to awareness and adoption of these interventions.
Objective: Among South Asian individuals, we evaluated user experience of DHIs for prevention and management of cardiometabolic disease, aiming to understand barriers and facilitators to initial and ongoing use.
Article Synopsis
- The study explored long COVID (LC) symptoms reported through a digital app, analyzing data from 1,008 individuals with LC in England and Wales over a 16-month period.
- Researchers identified 109 symptom categories, with pain, neuropsychological issues, fatigue, and dyspnoea being the most common, while symptom intensity increased by 3.3% monthly.
- Demographic factors like age, gender, ethnicity, and education level significantly affected symptom severity, highlighting the need for targeted treatments and support for LC patients in healthcare policy.
Objective: To investigate current care for people with Long COVID in England.
Design: In-depth, semistructured interviews with people living with Long COVID and Long COVID healthcare professionals; data analysed using thematic analysis.
Setting: National Health Service England post-COVID-19 services in six clinics from November 2022 to July 2023.
Background: The use of digital health interventions (DHIs), such as apps and wearable devices, for prevention and management of cardiometabolic disease, has been accelerated by the impact of COVID-19 on health-care services. Digital inequalities disproportionately affect those most at risk of wider health inequalities (e.g.
View Article and Find Full Text PDFObjectives: To describe self-reported characteristics and symptoms of treatment-seeking patients with post-COVID-19 syndrome (PCS). To assess the impact of symptoms on health-related quality of life (HRQoL) and patients' ability to work and undertake activities of daily living.
Design: Cross-sectional single-arm service evaluation of real-time user data.
Background: Evidence suggests that successful assessment and care for frail individuals requires integrated and collaborative care and support across and within settings. Understanding the care and support networks of a frail individual could therefore prove useful in understanding need and designing support. This study explored the care and support networks of community-dwelling older people accessing a falls prevention service as a marker of likely frailty, by describing and comparing the individuals' networks as perceived by themselves and as perceived by healthcare providers involved in their care.
View Article and Find Full Text PDFBackground: Frail individuals are at risk of significant clinical deterioration if their frailty is not identified and managed appropriately. Research suggests that any interaction between an older person and a health or social care professional should include an assessment for frailty. Many older care home residents are frail when admitted, but we have little knowledge of whether or how this is assessed.
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