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1.
BMC Neurol ; 22(1): 245, 2022 Jul 05.
Artículo en Inglés | MEDLINE | ID: mdl-35790912

RESUMEN

BACKGROUND: Patient involvement in discharge planning of patients with stroke can be accomplished by providing personalized outcome information and promoting shared decision-making. The aim of this study was to develop a patient decision aid (PtDA) for discharge planning of hospitalized patients with stroke. METHODS: A convergent mixed methods design was used, starting with needs assessments among patients with stroke and health care professionals (HCPs). Results of these assessments were used to develop the PtDA with integrated outcome information in several co-creation sessions. Subsequently, acceptability and usability were tested to optimize the PtDA. Development was guided by the International Patient Decision Aids Standards (IPDAS) criteria. RESULTS: In total, 74 patients and 111 HCPs participated in this study. A three-component PtDA was developed, consisting of: 1) a printed consultation sheet to introduce the options for discharge destinations, containing information that can be specified for each individual patient; 2) an online information and deliberation tool to support patient education and clarification of patient values, containing an integrated "patients-like-me" model with outcome information about discharge destinations; 3) a summary sheet to support actual decision-making during consultation, containing the patient's values and preferences concerning discharge planning. In the acceptability test, all qualifying and certifying IPDAS criteria were fulfilled. The usability test showed that patients and HCPs highly appreciated the PtDA with integrated outcome information. CONCLUSIONS: The developed PtDA was found acceptable and usable by patients and HCPs and is currently under investigation in a clinical trial to determine its effectiveness.


Asunto(s)
Alta del Paciente , Accidente Cerebrovascular , Técnicas de Apoyo para la Decisión , Personal de Salud , Humanos , Pacientes , Accidente Cerebrovascular/terapia
2.
Patient Educ Couns ; 105(5): 1123-1129, 2022 05.
Artículo en Inglés | MEDLINE | ID: mdl-34462248

RESUMEN

OBJECTIVE: The aim of this study was to gain insight into experiences of patients with acute stroke regarding information provision and their preferred involvement in decision-making processes during the initial period of hospitalisation. METHODS: A sequential explanatory design was used in two independent cohorts of patients with stroke, starting with a survey after discharge from hospital (cohort 1) followed by observations and structured interviews during hospitalisation (cohort 2). Quantitative data were analysed descriptively. RESULTS: In total, 72 patients participated in this study (52 in cohort 1 and 20 in cohort 2). During hospitalisation, the majority of the patients were educated about acute stroke and their treatment. Approximately half of the patients preferred to have an active role in the decision-making process, whereas only 21% reported to be actively involved. In cohort 2, 60% of the patients considered themselves capable to carefully consider treatment options. CONCLUSIONS: Active involvement in the acute decision-making process is preferred by approximately half of the patients with acute stroke and most of them consider themselves capable of doing so. However, they experience a limited degree of actual involvement. PRACTICE IMPLICATIONS: Physicians can facilitate patient engagement by explicitly emphasising when a decision has to be made in which the patient's opinion is important.


Asunto(s)
Toma de Decisiones , Accidente Cerebrovascular , Hospitalización , Humanos , Participación del Paciente , Accidente Cerebrovascular/terapia , Encuestas y Cuestionarios
3.
J Neurol ; 268(2): 403-408, 2021 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-32691235

RESUMEN

BACKGROUND AND PURPOSE: There are concerns that the coronavirus disease 2019 (COVID-19) outbreak negatively affects the quality of care for acute cardiovascular conditions. We assessed the impact of the COVID-19 outbreak on trends in hospital admissions and workflow parameters of acute stroke care in Amsterdam, The Netherlands. METHODS: We used data from the three hospitals that provide acute stroke care for the Amsterdam region. We compared two 7-week periods: one during the peak of the COVID-19 outbreak (March 16th-May 3th 2020) and one prior to the outbreak (October 21st-December 8th 2019). We included consecutive patients who presented to the emergency departments with a suspected stroke and assessed the change in number of patients as an incidence-rate ratio (IRR) using a Poisson regression analysis. Other outcomes were the IRR for stroke subtypes, change in use of reperfusion therapy, treatment times, and in-hospital complications. RESULTS: During the COVID-19 period, 309 patients presented with a suspected stroke compared to 407 patients in the pre-COVID-19 period (IRR 0.76 95%CI 0.65-0.88). The proportion of men was higher during the COVID-19 period (59% vs. 47%, p < 0.001). There was no change in the proportion of stroke patients treated with intravenous thrombolysis (28% vs. 30%, p = 0.58) or endovascular thrombectomy (11% vs 12%, p = 0.82) or associated treatment times. Seven patients (all ischemic strokes) were diagnosed with COVID-19. CONCLUSION: We observed a 24% decrease in suspected stroke presentations during the COVID-19 outbreak, but no evidence for a decrease in quality of acute stroke care.


Asunto(s)
COVID-19 , Pandemias , Accidente Cerebrovascular/terapia , Anciano , Anciano de 80 o más Años , COVID-19/epidemiología , Servicios Médicos de Urgencia , Femenino , Hospitalización , Humanos , Incidencia , Accidente Cerebrovascular Isquémico/complicaciones , Accidente Cerebrovascular Isquémico/epidemiología , Masculino , Persona de Mediana Edad , Países Bajos/epidemiología , Distribución de Poisson , Calidad de la Atención de Salud , Reperfusión , Estudios Retrospectivos , Accidente Cerebrovascular/complicaciones , Accidente Cerebrovascular/epidemiología , Trombectomía/estadística & datos numéricos , Terapia Trombolítica/estadística & datos numéricos , Tiempo de Tratamiento , Resultado del Tratamiento
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