Justus Vogel
Title
Dr.
Last Name
Vogel
First name
Justus
Email
justus.vogel@unisg.ch
ORCID
Phone
+41 71 224 32 44
33 results
Now showing 1 - 10 of 33
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Item type:Publication, Hospitalizations and inpatient resource consumption of patients suffering from chronic disease – Past trend and forecast for Switzerland(Springer Science and Business Media LLC, 2025-11-24); Scopus© Citations 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, PROM-based monitoring and alerts reduce post-surgery healthcare utilization of patients undergoing joint replacement: A secondary analysis of the PROMoting Quality RCT(Springer Science and Business Media LLC, 2025-08-07); ; Scopus© Citations 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Retrospective evaluation of interval breast cancer screening mammograms by radiologists and AI(Springer Science and Business Media LLC, 2025-08-04); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Medication adherence halves COPD patients' hospitalization risk - Evidence from Swiss health insurance data(2024); ; Medication adherence is vital for patients suffering from Chronic Obstructive Pulmonary Disease (COPD) to mitigate long-term consequences. The impact of poor medication adherence on inferior outcomes like exacerbations leading to hospital admissions is yet to be studied using real-world data. Using Swiss claims data from 2015-2020, we group patients into five categories according to their medication possession ratio. By employing a logistic regression, we quantify each category’s average treatment effect of the medication possession ratio on hospitalized exacerbations. 13,557 COPD patients are included in the analysis. Patients with high medication adherence (daily medication reserve of 80% to 100%) are 51% less likely to incur exacerbation following a hospital stay than patients with the lowest medication adherence (daily medication reserve of 0% to 20%). The study shows that medication adherence varies strongly among Swiss COPD patients. Furthermore, high medication adherence immensely decreases the risk of hospitalized exacerbations.Type:journal articleScopus© Citations 19 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Collection of Components to Design Clinical Dashboards Incorporating Patient-Reported Outcome Measures: Qualitative Study(2024); ; ; Scopus© 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, Assessing the Relationship between Hospital Process Digitalization and Hospital Quality - Evidence from Germany.(2024-09-13); ; Hospital digitalization aims to increase efficiency, reduce costs, and/ or improve quality of care. To assess a digitalization-quality relationship, we investigate the association between process digitalization and process and outcome quality. We use data from the German DigitalRadar (DR) project from 2021 and combine these data with two process (preoperative waiting time for osteosynthesis and hip replacement surgery after femur fracture, n = 516 and 574) and two outcome quality indicators (mortality ratio of patients hospitalized for outpatient-acquired pneumonia, n = 1,074; ratio of new decubitus cases, n = 1,519). For each indicator, we run a univariate and a multivariate regression. We measure process digitalization holistically by specifying three models with different explanatory variables: (1) the total DR-score (0 (not digitalized) to 100 (fully digitalized)), (2) the sum of DR-score sub-dimensions' scores logically associated with an indicator, and (3) sub-dimensions' separate scores. For the process quality indicators, all but one of the associations are insignificant. A greater DR-score is weakly associated with a lower mortality ratio of pneumonia patients (p < 0.10 in the multivariate regression). In contrast, higher process digitalization is significantly associated with a higher ratio of decubitus cases (p < 0.01 for models (1) and (2), p < 0.05 for two sub-dimensions in model (3)). Regarding decubitus, our finding might be due to better diagnosis, documentation, and reporting of decubitus cases due to digitalization rather than worse quality. Insignificant and inconclusive results might be due to the indicators' inability to reflect quality variation and digitalization effects between hospitals. For future research, we recommend investigating within hospital effects with longitudinal data.Type:journal articleJournal:Journal of medical systemsVolume:48Issue:1Scopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The association of hospital profitability and digital maturity – An explorative study using data from the German DigitalRadar project(2024); Scopus© Citations 13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Cost-effectiveness of a patient-reported outcome-based remote monitoring and alert intervention for early detection of critical recovery after joint replacement: A randomised controlled trial(Public Library of Science (PLoS), 2024-10-09); Scopus© Citations 11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The possible benefit of artificial intelligence in an organized population-related screening program : Initial results and perspective(2024-07-17); ; Mammography screening programs (MSP) have shown that breast cancer can be detected at an earlier stage enabling less invasive treatment and leading to a better survival rate. The considerable numbers of interval breast cancer (IBC) and the additional examinations required, the majority of which turn out not to be cancer, are critically assessed. In recent years companies and universities have used machine learning (ML) to develop powerful algorithms that demonstrate astonishing abilities to read mammograms. Can such algorithms be used to improve the quality of MSP? The original screening mammographies of 251 cases with IBC were retrospectively analyzed using the software ProFound AI® (iCAD) and the results were compared (case score, risk score) with a control group. The relevant current literature was also studied. The distributions of the case scores and the risk scores were markedly shifted to higher risks compared to the control group, comparable to the results of other studies. Retrospective studies as well as our own data show that artificial intelligence (AI) could change our approach to MSP in the future in the direction of personalized screening and could enable a significant reduction in the workload of radiologists, fewer additional examinations and a reduced number of IBCs; however, the results of prospective studies are needed before implementationType:journal articleJournal:Die RadiologieScopus© Citations 2