Accelerated enhanced recovery after colon cancer surgery with discharge within one day after surgery: a systematic review.

BACKGROUND: Recent studies have demonstrated that accelerated enhanced recovery after colorectal surgery is feasible for specific patient populations. The accelerated enhanced recovery protocols (ERP) tend to vary, and the majority of studies included a small study population. This hampers defining the optimal protocol and establishing the potential benefits. This systematic review aimed to determine the effect of accelerated ERPs with intended discharge within one day after surgery. METHODS: PubMed (MEDLINE), Embase, Cochrane and Web of Science databases were searched using the following search terms: colon cancer, colon surgery, accelerated recovery, fast track recovery, enhanced recovery after surgery. Clinical trials published between January 2005 - February 2023, written in English or Dutch comparing accelerated ERPs to Enhanced Recovery After Surgery (ERAS) care for adult patients undergoing elective laparoscopic or robotic surgery for colon cancer were eligible for inclusion. RESULTS: Thirteen studies, including one RCT were included. Accelerated ERPs after colorectal surgery was possible as LOS was shorter; 14 h to 3.4 days, and complication rate varied from 0-35.7% and readmission rate was 0-17% in the accelerated ERP groups. Risk of bias was serious or critical in most of the included studies. CONCLUSIONS: Accelerated ERPs may not yet be considered the new standard of care as the current data is heterogenous, and data on important outcome measures is scarce. Nonetheless, the decreased LOS suggests that accelerated recovery is possible for selected patients. In addition, the complication and readmission rates were comparable to ERAS care, suggesting that accelerated recovery could be safe.

Control in the Hospital by Extensive Clinical rules for Unplanned hospitalizations in older Patients (CHECkUP); study design of a multicentre randomized study.

BACKGROUND: Due to ageing of the population the incidence of multimorbidity and polypharmacy is rising. Polypharmacy is a risk factor for medication-related (re)admission and therefore places a significant burden on the healthcare system. The reported incidence of medication-related (re)admissions varies widely due to the lack of a clear definition. Some medications are known to increase the risk for medication-related admission and are therefore published in the triggerlist of the Dutch guideline for Polypharmacy in older patients. Different interventions to support medication optimization have been studied to reduce medication-related (re)admissions. However, the optimal template of medication optimization is still unknown, which contributes to the large heterogeneity of their effect on hospital readmissions. Therefore, we implemented a clinical decision support system (CDSS) to optimize medication lists and investigate whether continuous use of a CDSS reduces the number of hospital readmissions in older patients, who previously have had an unplanned probably medication-related hospitalization. METHODS: The CHECkUP study is a multicentre randomized study in older (≥60 years) patients with an unplanned hospitalization, polypharmacy (≥5 medications) and using at least two medications from the triggerlist, from Zuyderland Medical Centre and Maastricht University Medical Centre+ in the Netherlands. Patients will be randomized. The intervention consists of continuous (weekly) use of a CDSS, which generates a Medication Optimization Profile, which will be sent to the patient's general practitioner and pharmacist. The control group will receive standard care. The primary outcome is hospital readmission within 1 year after study inclusion. Secondary outcomes are one-year mortality, number of emergency department visits, nursing home admissions, time to hospital readmissions and we will evaluate the quality of life and socio-economic status. DISCUSSION: This study is expected to add evidence on the knowledge of medication optimization and whether use of a continuous CDSS ameliorates the risk of adverse outcomes in older patients, already at an increased risk of medication-related (re)admission. To our knowledge, this is the first large study, providing one-year follow-up data and reporting not only on quality of care indicators, but also on quality-of-life. TRIAL REGISTRATION: The trial was registered in the Netherlands Trial Register on October 14, 2018, identifier: NL7449 (NTR7691). https://www.trialregister.nl/trial/7449 .

Clinical Decision Support Systems in Hospitalized Older Patients: An Exploratory Analysis in a Real-Life Clinical Setting.

BACKGROUND: Inappropriate prescribing is associated with negative patient outcomes. In hospitalized patients, the use of Clinical Decision Support Systems (CDSSs) may reduce inappropriate prescribing and thereby improve patient-related outcomes. However, recently published large clinical trials (OPERAM and SENATOR) have shown negative results on the use of CDSSs and patient outcomes and strikingly low acceptance of recommendations. OBJECTIVE: The purpose of the present study was to investigate the use of a CDSS in a real-life clinical setting of hospitalized older patients. As such, we report on the real-life pattern of this in-hospital implemented CDSS, including (i) whether generated alerts were resolved; (ii) whether a recorded action by the pharmacist led to an improved number of resolved alerts; and (iii) the natural course of generated alerts, in particular of those in the non-intervention group; as these data are largely lacking in current studies. METHODS: Hospitalized patients, aged 60 years and older, admitted to Zuyderland Medical Centre, the Netherlands, in 2018 were included. The evaluation of the CDSS was investigated using a database used for standard care. Alongside demographic and clinical data, we also collected the total numbers of CDSS alerts, the number of alerts 'handled' by the pharmacist, those that resulted in an action by the pharmacist, and finally the outcome of the alerts at day 1 and day 3 after the alert was generated. RESULTS: A total of 3574 unique hospitalized patients, mean age 76.7 (SD 8.3) years and 53% female, were included. From these patients, 8073 alerts were generated, of which 7907 (97.9% of total) were handled by the pharmacist (day 1). In 51.6% of the alerts handled by the pharmacist, an action was initiated, resulting in 36.1% of the alerts resolved after day 1, compared with 27.3% if the pharmacist did not perform an action (p < 0.001). On day 3, in 52.6% of the alerts an action by the pharmacist was initiated, resulting in 62.4% resolved alerts, compared with 48.0% when no action was performed (p < 0.001). In the category renal function, the percentages differed significantly between an action versus no action of the pharmacist at day 1 and at day 3 (16.6% vs 10.6%, p < 0.001 [day 1]; 29.8% vs 19.4%, p < 0.001 [day 3]). CONCLUSION: This study demonstrates the pattern and natural course of clinical alerts of an in-hospital implemented CDSS in a real-life clinical setting of hospitalized older patients. Besides the already known beneficial effect of actions by pharmacists, we have also shown that many alerts become resolved without any specific intervention. As such, our study provides an important insight into the spontaneous course of resolved alerts, since these data are currently lacking in the literature.

Feasibility and Efficiency of the BEFORE (Better Exercise and Food, Better Recovery) Prehabilitation Program.

Prehabilitation has been postulated as an effective preventive intervention to reduce postoperative complications, particularly for elderly patients with a relatively high risk of complications. To date, it remains to be determined whether prehabilitation increases physical capacity and reduces postoperative complications. The aim of this study was to assess the feasibility of a 4-week multimodal prehabilitation program consisting of a personalized, supervised training program and nutritional intervention with daily fresh protein-rich food for colorectal cancer patients aged over 64 years prior to surgery. The primary outcome was the feasibility of this prehabilitation program defined as ≥80% compliance with the exercise training program and nutritional intervention. The secondary outcomes were the organizational feasibility and acceptability of the prehabilitation program. A compliance rate of ≥80% to both the exercise and nutritional intervention was accomplished by 6 patients (66.7%). Attendance of ≥80% at all 12 training sessions was achieved by 7 patients (77.8%); all patients (100%) attended ≥80% of the available training sessions. Overall, compliance with the training was 91.7%. Six patients (66.7%) accomplished compliance of ≥80% with the nutritional program. The median protein intake was 1.2 (g/kg/d). No adverse events occurred. This multimodal prehabilitation program was feasible for the majority of patients.

Do structural quality indicators of nutritional care influence malnutrition prevalence in Dutch, German, and Austrian nursing homes?

OBJECTIVE: The aim of this study was to explore whether structural quality indicators for nutritional care influence malnutrition prevalence in the Netherlands, Germany, and Austria. Furthermore, differences in malnutrition prevalence and structural quality indicators for nutritional care nursing homes in the three countries were examined. METHODS: This was a cross-sectional, multicenter study using a standardized questionnaire at the patient, ward, and institutional levels. Malnutrition was assessed by low body mass index, undesired weight loss, and reduced intake. Structural quality indicators of nutritional care were measured at the ward and institutional levels. RESULTS: The prevalence of malnutrition differed significantly between the three countries (Netherlands 18%, Germany 20%, and Austria 22.7%). Structural quality indicators related to nutritional care as having a guideline of prevention and treatment of malnutrition were related to malnutrition and explained malnutrition prevalence variance between the Netherlands and Germany. Differences between the Netherlands and Austria in malnutrition prevalence still existed after controlling for these quality structural indicators. CONCLUSIONS: Structural quality indicators of nutritional care are important in explaining malnutrition variance between the Netherlands and Germany. However, they did not explain the difference in malnutrition prevalence between the Netherlands and Austria. Investigating the role of process indicators may provide insight in the role of structural quality indicators of nutritional care in explaining the malnutrition prevalence differences between the Netherlands and Austria.

Reporting quality of nursing home care by an internet report card.

OBJECTIVE: This study was designed to test an internet report card containing information about quality indicators (e.g., pressure ulcers, falls) as well as assessments of consumer satisfaction and of quality of care by the Netherlands Health Care Inspectorate in nursing homes. METHODS: Employing a laboratory-type experimental design, 278 current and future consumers and representatives of nursing homes were asked to make quality assessments based on report cards of imaginary nursing homes. They were also asked their opinions of the report cards. RESULTS: The participants were positive about the internet report card and considered it satisfactory. However, they did make some suggestions for improvement, such as using more understandable terminology. It also became evident that the information on the card must be complete; the omission of information resulted in more negative views of the nursing home. CONCLUSION: The results show that an internet report card can be a useful tool that enables consumers to assess the quality of nursing home care. Further research is needed to examine whether the report card will actually be used by consumers to make decisions regarding nursing home care. PRACTICE IMPLICATIONS: The internet report card is a practical tool that can empower consumers, as it facilitates comparisons between nursing homes.