Irene Salvi
Title
Ph.D. HSG
Last Name
Salvi
First name
Irene
Email
irene.salvi@unisg.ch
ORCID
Phone
+41 71 224 32 97
5 results
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Item type:Publication, A Collection of Components to Design Clinical Dashboards Incorporating Patient-Reported Outcome Measures: Qualitative Study(2024); ; ; ;Carla Walker<jats:sec> <jats:title>Background</jats:title> <jats:p>A clinical dashboard is a data-driven clinical decision support tool visualizing multiple key performance indicators in a single report while minimizing time and effort for data gathering. Studies have shown that including patient-reported outcome measures (PROMs) in clinical dashboards supports the clinician’s understanding of how treatments impact patients’ health status, helps identify changes in health-related quality of life at an early stage, and strengthens patient-physician communication.</jats:p> </jats:sec> <jats:sec> <jats:title>Objective</jats:title> <jats:p>This study aims to determine design components for clinical dashboards incorporating PROMs to inform software producers and users (ie, physicians).</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>We conducted interviews with software producers and users to test preselected design components. Furthermore, the interviews allowed us to derive additional components that are not outlined in existing literature. Finally, we used inductive and deductive coding to derive a guide on which design components need to be considered when building a clinical dashboard incorporating PROMs.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>A total of 25 design components were identified, of which 16 were already surfaced during the literature search. Furthermore, 9 additional components were derived inductively during our interviews. The design components are clustered in a generic dashboard, PROM-related, adjacent information, and requirements for adoption components. Both software producers and users agreed on the primary purpose of a clinical dashboard incorporating PROMs to enhance patient communication in outpatient settings. Dashboard benefits include enhanced data visualization and improved workflow efficiency, while interoperability and data collection were named as adoption challenges. Consistency in dashboard design components is preferred across different episodes of care, with adaptations only for disease-specific PROMs.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>Clinical dashboards have the potential to facilitate informed treatment decisions if certain design components are followed. This study establishes a comprehensive framework of design components to guide the development of effective clinical dashboards incorporating PROMs in health care practice.</jats:p> </jats:sec>Type:journal articleJournal:Journal of Medical Internet ResearchVolume:26DOI:10.2196/55267Scopus© Citations 9 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How to interpret patient-reported outcomes? - Stratified adjusted minimal important changes for the EQ-5D-3L in hip and knee replacement patients(Springer Science and Business Media LLC, 2024-11-25); ; ; ; Abstract Background As one of the main goals of hip and knee replacements is to improve patients’ health-related quality of life, a meaningful evaluation can be achieved by calculating minimal important changes (MICs) for improvements in patient-reported outcome measures (PROMs). This study aims at providing MICs adjusted for patient characteristics for EQ-5D-3L index score improvements after hip and knee replacements. It adds to existing literature by relying on a large national sample and precise clustering algorithms, and by employing a state-of-the-art methodology for the calculation of improved adjusted MICs. Methodology A retrospective observational study was conducted using the publicly available National Health Service (NHS) PROMs dataset for primary hip and knee replacements. We used information on 252,331 hip replacements and 279,668 knee replacements from all NHS-funded providers in England between 2013 and 2020. Clusters of patients were created based on pre-operative EQ-VAS, depression status, and sex. Unstratified and stratified estimates for meaningful EQ-5D-3L improvements were obtained through anchor-based predictive MICs corrected for the proportion of improved patients and the reliability of transition ratings Results Stratifying patients showed that MICs varied across subgroups based on pre-operative EQ-VAS, depression status, and sex. MICs were larger for patients with worse pre-operative EQ-VAS scores, while patients with better pre-operative scores required smaller MICs to achieve a meaningful change. We show how after stratification the percentage of patients achieving their stratified MIC was better in line with the actual share of improved patients. Larger MICs were found for patients with depression and for female patients. MICs calculated for knee replacements were consistently lower than those for hip replacements. Conclusions Our findings show the importance of adjusting MICs for patients’ characteristics and should be considered for quality-related choices and policy initiatives.Type:journal articleJournal:Journal of Patient-Reported OutcomesVolume:8Issue:1Scopus© Citations 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, What matters when interpreting patient-reported outcomes? - Adjusted minimal clinically important differences for hip and knee replacement patients(2023); ; ; ; Research question: What are the minimal clinically important differences between pre-and post-surgery EQ-5D-3Lindicating a successful hip or knee replacement for different subgroups of patients?Type:conference contribution - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evaluating design principles for clinical dashboards incorporating patient-reported outcome measures: Building on a scoping literature review and semi-structured interviews(2024); ; ; ;Carla WalkerType:forthcoming - Some of the metrics are blocked by yourconsent settings
Item type:Publication,