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1.
JRSM Open ; 15(3): 20542704241232866, 2024 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-38529208

RESUMO

Background: Patient-reported outcomes (PROs) have potential to support integrated health and social care research and practice; however, evidence of their utilisation has not been synthesised. Objective: To identify PRO measures utilised in integrated care and adult social care research and practice and to chart the evidence of implementation factors influencing their uptake. Design: Scoping review of peer-reviewed literature. Data sources: Six databases (01 January 2010 to 19 May 2023). Study selection: Articles reporting PRO use with adults (18+ years) in integrated care or social care settings. Review methods: We screened articles against pre-specified eligibility criteria; 36 studies (23%) were extracted in duplicate for verification. We summarised the data using thematic analysis and descriptive statistics. Results: We identified 159 articles reporting on 216 PRO measures deployed in a social care or integrated care setting. Most articles used PRO measures as research tools. Eight (5.0%) articles used PRO measures as an intervention. Articles focused on community-dwelling participants (35.8%) or long-term care home residents (23.9%), with three articles (1.9%) focussing on integrated care settings. Stakeholders viewed PROs as feasible and acceptable, with benefits for care planning, health and wellbeing monitoring as well as quality assurance. Patient-reported outcome measure selection, administration and PRO data management were perceived implementation barriers. Conclusion: This scoping review showed increasing utilisation of PROs in adult social care and integrated care. Further research is needed to optimise PROs for care planning, design effective training resources and develop policies and service delivery models that prioritise secure, ethical management of PRO data.

2.
WMJ ; 122(1): 63-66, 2023 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-36940126

RESUMO

INTRODUCTION: Scurvy is a deadly disease caused by a lack of vitamin C in the diet. Although frequently considered a disease from the past, it still occurs in modern-day society, including in developed countries. CASE REPORT: We report a case of an 18-year-old male who was admitted with bleeding into his legs, prolonged prothrombin time and partial thromboplastin time, and anemia requiring a blood transfusion. His history included congenital deafness and a restrictive eating pattern primarily consisting of fast food. He was deficient in folic acid, vitamin K, and vitamin C. Scurvy best explained the bleeding, and he improved with vitamin supplementation. DISCUSSION: Scurvy is a collagen production disorder that can cause bleeding on the skin and mucous membranes. Although rare in industrialized nations, scurvy is typically the result of a restrictive diet or malnutrition. Those who are at a particularly high risk are the elderly, alcohol abusers, and those with eating disorders. CONCLUSIONS: Scurvy is easily treatable but can be missed; therefore, a high level of suspicion should be present in patients at risk for malnutrition. Those diagnosed with scurvy should be screened for concomitant nutritional deficiencies.


Assuntos
Anemia , Escorbuto , Masculino , Humanos , Estados Unidos , Idoso , Adolescente , Escorbuto/diagnóstico , Escorbuto/complicações , Ácido Ascórbico , Anemia/complicações
3.
Lancet Digit Health ; 5(3): e168-e173, 2023 03.
Artigo em Inglês | MEDLINE | ID: mdl-36828609

RESUMO

Integration of patient-reported outcome measures (PROMs) in artificial intelligence (AI) studies is a critical part of the humanisation of AI for health. It allows AI technologies to incorporate patients' own views of their symptoms and predict outcomes, reflecting a more holistic picture of health and wellbeing and ultimately helping patients and clinicians to make the best health-care decisions together. By positioning patient-reported outcomes (PROs) as a model input or output we propose a framework to embed PROMs within the function and evaluation of AI health care. However, the integration of PROs in AI systems presents several challenges. These challenges include (1) fragmentation of PRO data collection; (2) validation of AI systems trained and validated against clinician performance, rather than outcome data; (3) scarcity of large-scale PRO datasets; (4) inadequate selection of PROMs for the target population and inadequate infrastructure for collecting PROs; and (5) clinicians might not recognise the value of PROs and therefore not prioritise their adoption; and (6) studies involving PRO or AI frequently present suboptimal design. Notwithstanding these challenges, we propose considerations for the inclusion of PROs in AI health-care technologies to avoid promoting survival at the expense of wellbeing.


Assuntos
Inteligência Artificial , Medidas de Resultados Relatados pelo Paciente , Humanos , Coleta de Dados , Atenção à Saúde , Coração
4.
BMJ Open ; 12(9): e057712, 2022 09 30.
Artigo em Inglês | MEDLINE | ID: mdl-36180121

RESUMO

INTRODUCTION: Primary brain tumours, specifically gliomas, are a rare disease group. The disease and treatment negatively impacts on patients and those close to them. The high rates of physical and cognitive morbidity differ from other cancers causing reduced health-related quality of life. Glioma trials using outcomes that allow holistic analysis of treatment benefits and risks enable informed care decisions. Currently, outcome assessment in glioma trials is inconsistent, hindering evidence synthesis. A core outcome set (COS) - an agreed minimum set of outcomes to be measured and reported - may address this. International initiatives focus on defining core outcomes assessments across brain tumour types. This protocol describes the development of a COS involving UK stakeholders for use in glioma trials, applicable across glioma types, with provision to identify subsets as required. Due to stakeholder interest in data reported from the patient perspective, outcomes from the COS that can be patient-reported will be identified. METHODS AND ANALYSIS: Stage I: (1) trial registry review to identify outcomes collected in glioma trials and (2) systematic review of qualitative literature exploring glioma patient and key stakeholder research priorities. Stage II: semi-structured interviews with glioma patients and caregivers. Outcome lists will be generated from stages I and II. Stage III: study team will remove duplicate items from the outcome lists and ensure accessible terminology for inclusion in the Delphi survey. Stage IV: a two-round Delphi process whereby the outcomes will be rated by key stakeholders. Stage V: a consensus meeting where participants will finalise the COS. The study team will identify the COS outcomes that can be patient-reported. Further research is needed to match patient-reported outcomes to available measures. ETHICS AND DISSEMINATION: Ethical approval was obtained (REF SMREC 21/59, Cardiff University School of Medicine Research Ethics Committee). Study findings will be disseminated widely through conferences and journal publication. The final COS will be adopted and promoted by patient and carer groups and its use by funders encouraged. PROSPERO REGISTRATION NUMBER: CRD42021236979.


Assuntos
Neoplasias Encefálicas , Glioma , Neoplasias Encefálicas/terapia , Ensaios Clínicos como Assunto , Técnica Delphi , Glioma/terapia , Humanos , Avaliação de Resultados em Cuidados de Saúde/métodos , Qualidade de Vida , Projetos de Pesquisa , Participação dos Interessados , Resultado do Tratamento
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