The aim of this study was to assess satisfaction with care and to identify the predictors of this variable among sociodemographic, clinical and social data in a group of patients suffering from schizophrenia under treatment in community mental health teams. The study included 90 patients with a diagnosis of schizophrenia under the care of community mental health teams. Positive and Negative SyndromeScale, Verona Service Satisfaction Scale, Disability Assessment Schedule, Social Network Index and a loneliness scale (UCLA Loneliness Scale)were used in the study. Prognostic factors for higher satisfaction with care in the multivariate model involved: level of disability (Beta = -0.46, p < 0.001), duration of treatment under a CMHT (Beta = 0.36, p < 0.001), age (Beta = -0.37,p < 0.001), and education (Beta = -0.30, p = 0.002). The model explained 43% of the variance in the dependent variable. 1.Satisfaction with care in a CMHT was high. 2. Higher patient satisfaction could be predicted based on a lower level of disability, longer duration of treatment under a CMHT, lower age and lower education.
Objective: Individuals with Limited English Proficiency (LEP), including Spanish-preferred patients, face healthcare challenges due to language barriers. Despite the potential of digital health technologies to improve access and outcomes, there is a "digital divide" with underutilization among vulnerable populations, including Spanish-speaking LEP individuals, highlighting a need for increased understanding and equitable digital health solutions.
Materials And Methods: A multi-mode, multi-language cross-sectional survey was built based on the Technology Acceptance Model and deployed from a multi-state healthcare practice.
Background And Purpose: Psoriasis is a chronic, immune-mediated inflammatory skin disease that significantly impacts patients' quality of life. The integration of telepharmacy has the potential to enhance patient care by providing flexible and personalized pharmaceutical follow-up. This study (TELEPROM Psoriasis) evaluates a telepharmacy model for evaluating electronic Patient-Reported outcomes (ePROMs) for individuals with moderate to severe plaque psoriasis in Spain with biological treatment.
Background: Internet-delivered cognitive behaviour therapy (ICBT) is an accessible and effective treatment option for post-secondary students, but engagement and completion rates are less favourable than in non-student populations in routine care. Studies on students' treatment preferences suggest that a range of options should be offered. Examining students' engagement and outcomes associated with ICBT course options of varying durations can help inform how to optimally deliver ICBT to university students in routine care.
Introduction: The DMAIC approach is a five-phase improvement cycle which enables the advancement of pre-existing processes and was implemented as part of the "lean" process improvement initiative. The present study aims to improve the work efficiency of chemotherapy daycare unit (CDU) at a cancer hospital. The objectives include studying the process flow of the CDU, estimating the patient wait time (PWT) before infusion at the CDU, and implementing new measures to improve its functioning.
University of Rochester School of Medicine and Dentistry (JS, AV); Center for Health and Technology (CHeT) (JS, JW, AV, SJR, CE, AA, CZ, CRH), University of Rochester; University of Utah Spencer Fox Eccles School of Medicine (SJR); Des Moines University College of Osteopathic Medicine (AA); Department of Biostatistics and Neurology (ND), University of Rochester; Alzheimer's Disease Care, Research and Education Program (AD-CARE) (AM, SS-S, EJS), University of Rochester; and Department of Neurology (CRH), University of Rochester.
Background And Objectives: In preparation for future clinical trials involving individuals with Alzheimer disease (AD), mild cognitive impairment (MCI), and dementia, it is important to ascertain the widespread impact of symptoms from the direct perspectives of patients and caregivers. In this study, we performed cross-sectional surveys using large-scale patient and caregiver data to identify the prevalence and average impact of symptoms and symptomatic themes experienced by adults with AD, MCI, and dementia. Subsequent analyses were used to determine which demographic and disease-specific factors are associated with more severe disease.
