Integrative hospital treatment in older patients to benchmark and improve outcome and length of stay - the In-HospiTOOL study.

BACKGROUND: A comprehensive in-hospital patient management with reasonable and economic resource allocation is arguably the major challenge of health-care systems worldwide, especially in elderly, frail, and polymorbid patients. The need for patient management tools to improve the transition process and allocation of health care resources in routine clinical care particularly for the inpatient setting is obvious. To address these issues, a large prospective trial is warranted. METHODS: The "Integrative Hospital Treatment in Older patients to benchmark and improve Outcome and Length of stay" (In-HospiTOOL) study is an investigator-initiated, multicenter effectiveness trial to compare the effects of a novel in-hospital management tool on length of hospital stay, readmission rate, quality of care, and other clinical outcomes using a time-series model. The study aims to include approximately 35`000 polymorbid medical patients over an 18-month period, divided in an observation, implementation, and intervention phase. Detailed data on treatment and outcome of polymorbid medical patients during the in-hospital stay and after 30 days will be gathered to investigate differences in resource use, inter-professional collaborations and to establish representative benchmarking data to promote measurement and display of quality of care data across seven Swiss hospitals. The trial will inform whether the "In-HospiTOOL" optimizes inter-professional collaboration and thereby reduces length of hospital stay without harming subjective and objective patient-oriented outcome markers. DISCUSSION: Many of the current quality-mirroring tools do not reflect the real need and use of resources, especially in polymorbid and elderly patients. In addition, a validated tool for optimization of patient transition and discharge processes is still missing. The proposed multicenter effectiveness trial has potential to improve interprofessional collaboration and optimizes resource allocation from hospital admission to discharge. The results will enable inter-hospital comparison of transition processes and accomplish a benchmarking for inpatient care quality.

Association of Interprofessional Discharge Planning Using an Electronic Health Record Tool With Hospital Length of Stay Among Patients with Multimorbidity: A Nonrandomized Controlled Trial.

Importance: Whether interprofessional collaboration is effective and safe in decreasing hospital length of stay remains controversial. Objective: To evaluate the outcomes and safety associated with an electronic interprofessional-led discharge planning tool vs standard discharge planning to safely reduce length of stay among medical inpatients with multimorbidity. Design, Setting, and Participants: This multicenter prospective nonrandomized controlled trial used interrupted time series analysis to examine medical acute hospitalizations at 82 hospitals in Switzerland. It was conducted from February 2017 through January 2019. Data analysis was conducted from March 2021 to July 2022. Intervention: After a 12-month preintervention phase (February 2017 through January 2018), an electronic interprofessional-led discharge planning tool was implemented in February 2018 in 7 intervention hospitals in addition to standard discharge planning. Main Outcomes and Measures: Mixed-effects segmented regression analyses were used to compare monthly changes in trends of length of stay, hospital readmission, in-hospital mortality, and facility discharge after the implementation of the tool with changes in trends among control hospitals. Results: There were 54 695 hospitalizations at intervention hospitals, with 27 219 in the preintervention period (median [IQR] age, 72 [59-82] years; 14 400 [52.9%] men) and 27 476 in the intervention phase (median [IQR] age, 72 [59-82] years; 14 448 [52.6%] men) and 438 791 at control hospitals, with 216 261 in the preintervention period (median [IQR] age, 74 [60-83] years; 109 770 [50.8%] men) and 222 530 in the intervention phase (median [IQR] age, 74 [60-83] years; 113 053 [50.8%] men). The mean (SD) length of stay in the preintervention phase was 7.6 (7.1) days for intervention hospitals and 7.5 (7.4) days for control hospitals. During the preintervention phase, population-averaged length of stay decreased by -0.344 hr/mo (95% CI, -0.599 to -0.090 hr/mo) in control hospitals; however, no change in trend was observed among intervention hospitals (-0.034 hr/mo; 95% CI, -0.646 to 0.714 hr/mo; difference in slopes, P = .09). Over the intervention phase (February 2018 through January 2019), length of stay remained unchanged in control hospitals (slope, -0.011 hr/mo; 95% CI, -0.281 to 0.260 hr/mo; change in slope, P = .03), but decreased steadily among intervention hospitals by -0.879 hr/mo (95% CI, -1.607 to -0.150 hr/mo; change in slope, P = .04, difference in slopes, P = .03). Safety analyses showed no change in trends of hospital readmission, in-hospital mortality, or facility discharge over the whole study time. Conclusions and Relevance: In this nonrandomized controlled trial, the implementation of an electronic interprofessional-led discharge planning tool was associated with a decline in length of stay without an increase in hospital readmission, in-hospital mortality, or facility discharge. Trial Registration: isrctn.org Identifier: ISRCTN83274049.

ECG changes amongst patients with alcohol withdrawal seizures and delirium tremens.

INTRODUCTION: Alcohol withdrawal seizures and delirium tremens (DT) are serious complications of alcohol dependence. The prevalence of arrhythmias and other electrocardiographic (ECG) changes occurring in these clinical situations is not well studied. METHODS: We performed a retrospective analysis of clinical data and ECG's from patients discharged between 1995 and 2005 with the diagnosis of DT (ICD-Code F10.4) or alcohol withdrawal seizures (F10.3). Measurement of the ECG intervals was done in lead II. The corrected QT interval (QTc) was obtained using Bazett's formula. RESULTS: 49 patients (38 males; 11 females) with a mean age of 48 years were included in the study. 23 patients with DT and 16 with convulsions were admitted to the hospitals. Ten patients developed DT while being hospitalised for other reasons. The QTc interval was prolonged (>440 ms and >460 ms in males and females, respectively) in 31 patients (63%). Five patients (10%) developed tachyarrhythmias (two torsade de pointes, one sustained ventricular tachycardia, two supraventricular tachycardia, one atrial fibrillation). All returned to sinus rhythm after appropriate treatment. CONCLUSIONS: Tachyarrhythmias are common amongst patients with severe alcohol withdrawal syndromes. The majority of the patients had an acquired long QT syndrome which led to a torsade de pointes in two cases. No patient died in the hospital and all were discharged in sinus rhythm. Clinicians should possibly avoid QT prolonging drugs and carefully monitor the rhythm in patients with severe alcohol withdrawal syndromes.