RESUMO
BACKGROUND: Digital health interventions refer to interventions designed to support health-related knowledge transfer and are delivered via digital technologies, such as mobile apps. Digital health interventions are a double-edged sword: they have the potential to reduce health inequalities, for example, by making treatments available remotely to rural populations underserved by health care facilities or by helping to overcome language barriers via in-app translation services; however, if not designed and deployed with care, digital health interventions also have the potential to increase health inequalities and exacerbate the effects of the digital divide. OBJECTIVE: The aim of this study is to review ways to mitigate the digital divide through digital health intervention design, deployment, and engagement mechanisms sensitive to the needs of digitally excluded populations. METHODS: This protocol outlines the procedure for a systematic scoping review that follows the methodology recommended by the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidance. The following databases will be searched for primary research studies published in English from October 1, 2011, to October 1, 2021: Cochrane Library, Epistemonikos, NICE Evidence, PROSPERO, PubMed (with MEDLINE and Europe PMC), and Trip. In addition, the following sources of gray literature will be searched: Conference Proceedings Citation Index, Health Management Information Consortium, International HTA Database, OpenGrey, The Grey Literature Report, Google Scholar Basic Search UK, MedNar Deep Web Search Engine, and Carrot2. We will select publications that meet the following inclusion criteria: primary research papers that evaluated digital health interventions that describe features of digital health intervention design and deployment that enable or hinder access to and engagement with digital health interventions by adults from demographic groups likely to be affected by the digital divide (eg, older age, minority ethnic groups, lower income, and lower education level). A random selection of 25 publications identified from the search will be double screened by four reviewers. If there is >75% agreement for included/excluded publications, the team will continue to screen all the identified publications. For all included publications, study characteristics will be extracted by one author and checked for agreement by a second author, with any disagreements resolved by consensus among the study team. Consultation digital health intervention design and deployment, and digital health intervention users will also be conducted in parallel. RESULTS: The review is underway and is anticipated to be completed by September 2022. CONCLUSIONS: The results will have implications for researchers and policy makers using digital health interventions for health improvement peripandemic and post pandemic, and will inform best practices in the design and delivery of digital health interventions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/32538.
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OBJECTIVE: We aimed to investigate changes in atrial fibrillation (AF)-related symptoms and quality of life (QoL) over time, and their impact on prognosis. METHODS: We prospectively followed 3836 patients with known AF for a mean of 3.7 years. Information on AF-related symptoms and QoL was obtained yearly. The primary end point was a composite of stroke or systemic embolism. Main secondary end points included stroke subtypes, all-cause mortality, cardiovascular death, hospitalisation for congestive heart failure (CHF), myocardial infarction and major bleeding. We assessed associations using multivariable, time-updated Cox proportional hazards models. RESULTS: Mean age was 72 years, 72% were male. Patients with AF-related symptoms (66%) were younger (70 vs 74 years, p<0.0001), more often had paroxysmal AF (56% vs 37%, p<0.0001) and had lower QoL (71 vs 72 points, p=0.009). The incidence of the primary end point was 1.05 and 1.02 per 100 person-years in patients with and without symptoms, respectively. The multivariable adjusted HR (aHR) (95% CIs) for the primary end point was 1.11 (0.77 to 1.59; p=0.56) for AF-related symptoms. AF-related symptoms were not associated with any of the secondary end points. QoL was not significantly related to the primary end point (aHR per 5-point increase 0.98 (0.94 to 1.03; p=0.37)), but was significantly related to CHF hospitalisations (0.92 (0.90 to 0.94; p<0.0001)), cardiovascular death (0.90 (0.86 to 0.95; p<0.0001)) and all-cause mortality (0.88 (0.86 to 0.90; p<0.0001)). CONCLUSIONS: AF-related symptoms were not associated with adverse outcomes and should therefore not be the basis for prognostic treatment decisions. QoL was strongly associated with CHF, cardiovascular death and all-cause mortality.
