For the treatment choice of localized prostate cancer, effective patient decision aids have been developed. The implementation of decision aids in routine care, however, lags behind. Main known barriers are lack of confidence in the tool, lack of training on its use, lack of resources and lack of time. A new implementation strategy addresses these barriers. Using this implementation strategy, the implementation rate of a decision aid was measured in eight hospitals and questionnaires were filled out by 24 care providers and 255 patients. The average implementation rate was 60 per cent (range 31%-100%). Hardly any barriers remained for care providers. Patients who did not use the decision aid appeared to be more unwilling than unable to use the decision aid. By addressing known barriers, that is, informing care providers on the effectiveness of the decision aid, providing instructions on its use, embedding it in the existing workflow and making it available free of charge, a successful implementation of a prostate cancer decision aid was reached.
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http://dx.doi.org/10.1177/1460458219873528 | DOI Listing |
Pediatr Cardiol
January 2025
Department of Infectious Disease, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, No. 1678 Dongfang Road, Pudong New Area, Shanghai, 200127, China.
Kawasaki disease (KD) is a febrile vasculitis disorder, with coronary artery lesions (CALs) being the most severe complication. Early detection of CALs is challenging due to limitations in echocardiographic equipment (UCG). This study aimed to develop and validate an artificial intelligence algorithm to distinguish CALs in KD patients and support diagnostic decision-making at admission.
View Article and Find Full Text PDFBackground: Women involved in the criminal legal system have elevated rates of opioid use disorder, which is treatable, and HIV, which is preventable with pre-exposure prophylaxis (PrEP). There are significant social and structural barriers to integrated delivery of PrEP and medications for opioid use disorder (MOUD), limiting women's ability to access these life-saving interventions. In a two parallel-arm randomized controlled trial, we are assessing an innovative eHealth delivery model that integrates PrEP with MOUD and is tailored to meet the specific needs of women involved in the criminal legal system.
View Article and Find Full Text PDFBMJ Health Care Inform
January 2025
Johnson & Johnson LLC, Raritan, New Jersey, USA.
Background: Prognostic models help aid medical decision-making. Various prognostic models are available via websites such as MDCalc, but these models typically predict one outcome, for example, stroke risk. Each model requires individual predictors, for example, age, lab results and comorbidities.
View Article and Find Full Text PDFAm J Transl Res
December 2024
Department of Clinical Laboratory, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University) Changsha 410002, Hunan, China.
Objective: To develop a nomogram to predict the risk of portal vein tumor thrombosis (PVTT) in hepatocellular carcinoma (HCC) patients.
Methods: Patients diagnosed with HCC at Hunan Provincial People's Hospital between January 2010 and January 2022 were enrolled. Data on demographic characteristics, comorbidities, and laboratory tests were collected.
S Afr J Physiother
December 2024
Department of Physiotherapy, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Background: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a leading cause of morbidity and mortality in South Africa. Physiotherapy practice and factors that influence management of patients with AECOPD are unknown.
Objectives: To explore physiotherapy practice in the management of patients with AECOPD in South African private healthcare settings and to identify and describe factors that influence physiotherapy patient management.
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