RESUMO
Objectives: Cultural and communication differences faced by South-Asian (SA) ethnic minority groups have led to challenges in the delivery of health care and complex management of long-term conditions (LTCs). We aim to explore the use of text-messaging in SA communities, through the Florence (FLO) health messaging system utilised within U.K. health sectors, to enhance positive health behaviours and self-management. Methods: A mixed-methods approach was used for this study involving two phases. Phase 1 includes the administration of the patient activation measure to assess SA patient level of skills, knowledge, and confidence to self-manage their LTC; whilst in Phase 2 semi-structured interviews were conducted, exploring the experiences of users and non-users of FLO text messaging to promote self-management behaviours. Findings: Forty participants (Florence users (n = 20) and non-users (n = 20)) completed the patient activation survey once after using FLO, and took part in interviews. Differences were noted to exist between the two groups (p < .01). Users appeared to have higher activation levels and better self-management behaviours (p < .01 (p = .00). Interviews elicit participants' perceptions of the text messaging system, along with key themes relative to behavioural constructs: socio-demographical factors; influencing behaviour changes, self-management, and uptake of text messages amongst SA ethnic minorities. Conclusion: Text messaging and mHealth are being extensively used amongst general populations to monitor and enhance health. The study of SA patient experiences and their use of text messages within the United Kingdom (UK) remains scarce. Therefore, results from the study identify health beliefs that influence patient engagement with digital health interventions and their self-management. Developing policies and culturally appropriate education guidelines for healthcare practitioners can allow for the provision of culturally sensitive interventions tailored in terms of normative, cultural, and religious beliefs; which in turn will address crucial aspects including SA patient information and educational needs supporting their self-management journey.
RESUMO
INTRODUCTION: Long COVID-19 is a distressing, disabling and heterogeneous syndrome often causing severe functional impairment. Predominant symptoms include fatigue, cognitive impairment ('brain fog'), breathlessness and anxiety or depression. These symptoms are amenable to rehabilitation delivered by skilled healthcare professionals, but COVID-19 has put severe strain on healthcare systems. This study aims to explore whether digitally enabled, remotely supported rehabilitation for people with long COVID-19 can enable healthcare systems to provide high quality care to large numbers of patients within the available resources. Specific objectives are to (1) develop and refine a digital health intervention (DHI) that supports patient assessment, monitoring and remote rehabilitation; (2) develop implementation models that support sustainable deployment at scale; (3) evaluate the impact of the DHI on recovery trajectories and (4) identify and mitigate health inequalities due to the digital divide. METHODS AND ANALYSIS: Mixed-methods, theoretically informed, single-arm prospective study, combining methods drawn from engineering/computer science with those from biomedicine. There are four work packages (WP), one for each objective. WP1 focuses on identifying user requirements and iteratively developing the intervention to meet them; WP2 combines qualitative data from users with learning from implementation science and normalisation process theory, to promote adoption, scale-up, spread and sustainability of the intervention; WP3 uses quantitative demographic, clinical and resource use data collected by the DHI to determine illness trajectories and how these are affected by use of the DHI; while WP4 focuses on identifying and mitigating health inequalities and overarches the other three WPs. ETHICS AND DISSEMINATION: Ethical approval obtained from East Midlands - Derby Research Ethics Committee (reference 288199). Our dissemination strategy targets three audiences: (1) Policy makers, Health service managers and clinicians responsible for delivering long COVID-19 services; (2) patients and the public; (3) academics. TRIAL REGISTRATION NUMBER: Research Registry number: researchregistry6173.