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

Whether interprofessional collaboration is effective and safe in decreasing hospital length of stay remains controversial.; 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.; 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.; 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.; 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.; 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.; 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.; isrctn.org Identifier: ISRCTN83274049

Association of in-hospital multimorbidity with healthcare outcomes in Swiss medical inpatients

IMPORTANCE: Multimorbidity poses a worldwide health- and socio-economic challenge, exacerbated by changing demographics. The association of multimorbidity with healthcare outcomes in hospitalised medical inpatients remains incompletely understood. OBJECTIVE: To examine the prevalence and burden of in-hospital multimorbidity over a 6-year time period and its association with in-hospital mortality, intensive care unit admission, length of hospital stay and readmission rates. DESIGN: This cross-sectional study analysed Swiss hospital discharge records from 1 January 2012 to 31 December 2017. SETTING: The study used population-based, administrative data from the Swiss Federal Statistical Office to investigate all adult medical cases in Switzerland. PARTICIPANTS: 2,220,000 population-based medical discharge records from 1,463,781 anonymised patients were included in the analysis. Multimorbidity was defined according to the World Health Organization as the presence of at least two chronic conditions. We applied the “Chronic Condition Indicator for the International Classification of Diseases (ICD-10-CM)”, which divides all ICD-10 codes into chronic and acute conditions, to define the number of chronic conditions. MAIN MEASURES: Time- and age-stratified prevalence of multimorbidity and its association with in-hospital mortality, ICU admission rate, length of stay, 30-day and 1-year all-cause readmission rates. RESULTS: Of the 2,220,000 cases, 51.3% were male with a mean age of 68.0 years (standard deviation 17.4). A total of 1,769,530 (79.7%) were multimorbid with a median of 4 (interquartile range 2–6) chronic conditions. The prevalence of multimorbidity increased by about 1.0% per year over the 6-year study period from 76.1% (2012) to 82.2% (2017). Multimorbidity was associated with higher odds of in-hospital mortality (odds ratio [OR] 1.31, 95% confidence interval [CI] 1.28 to 1.34), ICU admission rate (OR 3.29, 95% CI 3.23 to 3.34), length of stay (+2.7 days, 95% CI 2.6 to 2.7), 30-day- (OR 1.92, 95% CI 1.89 to 1.94) and 1-year all-cause readmission rates (OR 1.70, 95% CI 1.68 to 1.71). The associations with in-hospital mortality and readmission were strongest in younger patients. CONCLUSIONS: Multimorbidity is highly prevalent in medical inpatients and has a relevant association with poor healthcare outcomes. Further investigation is needed to specify risk factors as well as to optimise the management of multimorbid patients to improve outcomes

Association of functional status and hospital-acquired functional decline with 30-day outcomes in medical inpatients : a prospective cohort study

Background There is growing evidence that patients with functional decline are at increased risk of readmission, mortality and institutionalization. Instruments to measure the status of self-care could provide important information for efficient care planning. The widely used Self Care Index serves as an indicator for the severity of nursing dependency. To date, no evidence is available on the association of the instrument with rehospitalization, mortality and institutionalization. Objectives To examine the association of functional status measures (Self Care Index on admission, at discharge and functional decline) with 30-day mortality, readmission and institutionalization in hospitalized non-surgical patients. Design Prospective cohort study. Participants We included 4540 emergency medical patients at a single hospital in Switzerland. Methods Primary outcome was 30-day mortality rate; secondary outcomes were 30-day readmission and institutionalization. We analyzed the association of the functional status with the binary endpoints using logistic regression models and C-statistics for discrimination. Results All of the examined measures were significant predictors of overall 30-day mortality; Self Care Index on admission: adj. OR: 0.90 (95% CI: 0.87–0.92); Self Care Index at discharge: adj. OR: 0.86 (95% CI: 0.83–0.88); functional decline: adj. OR: 1.22 (95% CI: 1.14–1.31) and all Self Care Index single items. A combined model (functional status on admission and functional decline during hospitalization) showed a good accuracy with regard to the AUC: adj. AUC: 0.80 (95% CI: 0.74–0.86). Conclusions Several functional measures were associated with 30-day mortality. Self Care Index total score, five single items and a combined model showed the best performance

Integrative hospital treatment in older patients to benchmark and improve outcome and length of stay - the InHospiTOOL 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.status: publishe

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

Abstract 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