Pay for performance has become a new mantra in the ongoing efforts to improve the quality of healthcare and stabilize healthcare costs. In response to complaints of employers and others, numerous organizations have emerged to try and standardize the tools used to measure quality. This article maintains that such an approach will not lead to improvement in quality. Rather, we should be standardizing on specific quality of care concepts, such as hospital satisfaction or bypass graft mortality. In turn, appropriate federal agencies should calibrate (or translate) well-validated tools measuring desired concepts. This would allow consumers to take action on quality reports calibrated to allow comparison of results based on a standardized concept such as hospital satisfaction but which in turn contains results using different, well-validated satisfaction questionnaires. This article provides a road map for the implementation of a process of standardizing on concepts rather than tools.
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http://dx.doi.org/10.1097/01.JAC.0000264600.12006.70 | DOI Listing |
JMIR Form Res
January 2025
Early Intervention in Psychosis Advisory Unit for South-East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Background: Shared decision-making between clinicians and service users is crucial in mental health care. One significant barrier to achieving this goal is the lack of user-centered services. Integrating digital tools into mental health services holds promise for addressing some of these challenges.
View Article and Find Full Text PDFInform Health Soc Care
January 2025
Department of Social Informatics, Faculty of Social Sciences, University of Ljubljana, Ljubljana, Slovenia.
Digital service provision became necessary during and after the COVID-19 pandemic highlighting the technological disparity experienced by healthcare professionals and healthcare users. eHealth Literacy skills are mostly measured with the use of the eHeals, but recently more instruments have been developed to meet this need. The aim of the study was to validate and compare the two scales in Greek: the eHeals and the revised eHeals-Extended.
View Article and Find Full Text PDFPort J Card Thorac Vasc Surg
October 2024
Department of Anesthesiology, Unidade Local de Saúde de Santa Maria, Portugal.
Frailty is a concept that is emerging as an important tool in the preoperative assessment of patients. The incidence of frailty in vascular surgery patients is high and is expected to increase concomitantly with the aging of the population. The identification of these patients and their optimization in the perioperative period can lead to an improvement in their outcomes with a reduction in morbidity and mortality.
View Article and Find Full Text PDFHealth Promot Int
January 2025
School of Public Health, Faculty of Health, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.
Forced migration is increasing globally, which has detrimental effects on the physical and mental health of refugees, who may face significant challenges accessing healthcare services. However, refugees also possess considerable strengths or assets that can protect against various health challenges. Identifying and strengthening the individual health assets of refugees is critical to promoting their health and mitigating these health challenges.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Advanced Care Research Centre, Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom.
Background: Clinical guideline development preferentially relies on evidence from randomized controlled trials (RCTs). RCTs are gold-standard methods to evaluate the efficacy of treatments with the highest internal validity but limited external validity, in the sense that their findings may not always be applicable to or generalizable to clinical populations or population characteristics. The external validity of RCTs for the clinical population is constrained by the lack of tailored epidemiological data analysis designed for this purpose due to data governance, consistency of disease or condition definitions, and reduplicated effort in analysis code.
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