Transtheoretical Model-based exercise counselling for older adults in Switzerland: quantitative results over a 1-year period

Summary.: Objectives:: To develop and test a counselling programme based on the Transtheoretical Model of behavioural change, for promoting exercise in people over the age of 65. Method:: The sample (n = 448) consisted of women and men aged between 65 and 92, recruited from Swiss GPs' practices between 2000 and 2004. After a baseline measurement (T1) and an initial counselling session, they received two counselling sessions, followed by a 12-month follow-up (T2). Changes in exercise behaviour were recorded by means of stage classifi cation and the time spent on everyday moderate-intensity activities that increase the breathing rate. Results:: At T1 there was a tendency for women to be less physically active than men. T1 to T2 the proportion of inactive people fell from 12.2% to 4.2%, and the proportion of people sufficiently active rose from 19.0% to 31.3%. The changes in stage were significant in both men and women. At T2 more than half of the participants in the study spent more time exercising. Conclusions:: The results indicate that, with counselling, the exercise behaviour of the elderly can be positively infl uenced over a 1-year perio

Derivation and validation of a prediction model to establish nursing-sensitive quality benchmarks in medical inpatients : a secondary data analysis of a prospective cohort study

Background: Hospitals are using nursing-sensitive outcomes (NSOs) based on administrative data to measure and benchmark quality of nursing care in acute care wards. In order to facilitate comparisons between different hospitals and wards with heterogeneous patient populations, proper adjustment procedures are required. In this article, we first identify predictors for common NSOs in acute medical care of adult patients based on administrative data. We then develop and cross-validate an NSO-oriented prediction model. Methods: We used administrative data from seven hospitals in Switzerland to derive prediction models for each of the following NSO: hospital-acquired pressure ulcer (≥stage II), hospital-acquired urinary tract infection, non-ventilator hospital-acquired pneumonia and in-hospital mortality. We used a split dataset approach by performing a random 80:20 split of the data into a training set and a test set. We assessed discrimination of the models by area under the receiver operating characteristic curves. Finally, we used the validated models to establish a benchmark between the participating hospitals. Results: We considered 36,149 hospitalisations, of which 51.9% were male patients with a median age of 73 years (with an interquartile range of 59–82). Age and length of hospital stay were independently associated with all four NSOs. The derivation and validation models showed a good discrimination in the training (AUC range: 0.75–0.84) and in the test dataset (AUC range:0.77–0.81), respectively. Variation among different hospitals was relevant considering the risk for hospital-acquired pressure ulcer (≥ stage II) (adjusted Odds ratio [aOR] range: 0.51 [95% CI: 0.38–0.69] – 1.65 [95% CI:1.33–2.04]), the risk for hospital-acquired urinary tract infection infection (aOR range: 0.46 [95% CI: 0.36–0.58] – 1.45 [95% CI: 1.31–1.62]), the risk for non-ventilator hospital-acquired pneumonia (aOR range: 0.28 [95% CI: 0.09–0.89] – 2.87 [95% CI: 2.27–3.64]), and the risk for in-hospital mortality (aOR range: 0.45 [95% CI: 0.36–0.56] – 1.39 [95% CI: 1.23–1.60]). Conclusion: The application of risk adjustment when comparing nursing care quality is crucial and enables a more objective assessment across hospitals or wards with heterogeneous patient populations. This approach has potential to establish a set of benchmarks that could allow comparison of outcomes and quality of nursing care between different hospitals and wards

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

Long-term consequences of an intensive care unit stay in older critically ill patients: design of a longitudinal study

<p>Abstract</p> <p>Background</p> <p>Modern methods in intensive care medicine often enable the survival of older critically ill patients. The short-term outcomes for patients treated in intensive care units (ICUs), such as survival to hospital discharge, are well documented. However, relatively little is known about subsequent long-term outcomes. Pain, anxiety and agitation are important stress factors for many critically ill patients. There are very few studies concerned with pain, anxiety and agitation and the consequences in older critically ill patients. The overall aim of this study is to identify how an ICU stay influences an older person's experiences later in life. More specific, this study has the following objectives: (1) to explore the relationship between pain, anxiety and agitation during ICU stays and experiences of the same symptoms in later life; and (2) to explore the associations between pain, anxiety and agitation experienced during ICU stays and their effect on subsequent health-related quality of life, use of the health care system (readmissions, doctor visits, rehabilitation, medication use), living situation, and survival after discharge and at 6 and 12 months of follow-up.</p> <p>Methods/Design</p> <p>A prospective, longitudinal study will be used for this study. A total of 150 older critically ill patients in the ICU will participate (ICU group). Pain, anxiety, agitation, morbidity, mortality, use of the health care system, and health-related quality of life will be measured at 3 intervals after a baseline assessment. Baseline measurements will be taken 48 hours after ICU admission and one week thereafter. Follow-up measurements will take place 6 months and 12 months after discharge from the ICU. To be able to interpret trends in scores on outcome variables in the ICU group, a comparison group of 150 participants, matched by age and gender, recruited from the Swiss population, will be interviewed at the same intervals as the ICU group.</p> <p>Discussion</p> <p>Little research has focused on long term consequences after ICU admission in older critically ill patients. The present study is specifically focussing on long term consequences of stress factors experienced during ICU admission.</p> <p>Trial Registration</p> <p><a href="http://www.controlled-trials.com/ISRCTN52754370">ISRCTN52754370</a></p

Who benefits from peer support in psychiatric institutions?

This study examines the influence of recovery-oriented peer events on participants' recovery attitudes and explores who benefits most from such events. Changes in participants' recovery attitudes were evaluated (pre, post, follow-up), and compared with changes of control groups. Distributions of recovery-related values in subgroups were analyzed descriptively. The results of non-parametric tests (Friedman) showed participants with significantly higher values in the dimension Recovery is possible directly after the interventions (P = 0.006), but not 6 months later, and not in comparison with members of control groups. On a descriptive level, women, participants with schizophrenia and with two or more episodes of the disorder showed higher recovery-related values compared to men, participants with an affective disorder and only one episode. Within their feedback, organizations and peers express a positive view of peer support, but evidence for a positive impact of the evaluated peer events on recovery attitude is limited