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1.
Future Healthc J ; 11(1): 100018, 2024 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-38646043

RESUMO

Early Comprehensive Geriatric Assessment is a key component of the assessment of older adults presenting to hospital with frailty syndromes, often this is facilitated through Acute Frailty Units. In this paper we describe how using QI methodology we improved access to our Frailty Unit using a digital solution. The impact of this improvement was demonstrated via the reduction in length of stay that these patients experienced compared to patients admitted to General Care of the Older Person wards.

2.
Drug Saf ; 44(5): 553-564, 2021 05.
Artigo em Inglês | MEDLINE | ID: mdl-33582973

RESUMO

INTRODUCTION: Information on suspected adverse drug reactions (ADRs) voluntarily submitted by patients can be a valuable source of information for improving drug safety; however, public awareness of reporting mechanisms remains low. Whilst methods to automatically detect ADR mentions from social media posts using text mining techniques have been proposed to improve reporting rates, it is unclear how acceptable these would be to social media users. OBJECTIVE: The objective of this study was to explore public opinion about using automated methods to detect and report mentions of ADRs on social media to enhance pharmacovigilance efforts. METHODS: Users of the online health discussion forum HealthUnlocked participated in an online survey (N = 1359) about experiences with ADRs, knowledge of pharmacovigilance methods, and opinions about using automated data mining methods to detect and report ADRs. To further explore responses, five qualitative focus groups were conducted with 20 social media users with long-term health conditions. RESULTS: Participant responses indicated a low awareness of pharmacovigilance methods and ADR reporting. They showed a strong willingness to share health-related social media data about ADRs with researchers and regulators, but were cautious about automated text mining methods of detecting and reporting ADRs. CONCLUSIONS: Social media users value public-facing pharmacovigilance schemes, even if they do not understand the current framework of pharmacovigilance within the UK. Ongoing engagement with users is essential to understand views, share knowledge and respect users' privacy expectations to optimise future ADR reporting from online health communities.


Assuntos
Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos , Mídias Sociais , Sistemas de Notificação de Reações Adversas a Medicamentos , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos/epidemiologia , Humanos , Farmacovigilância , Inquéritos e Questionários
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