Understanding the influences on hospital discharge decision-making from patient, carer and staff perspectives.

BACKGROUND: Gaps in discharge planning are experienced by 41% of hospital patients in Australia. There is an established body of knowledge regarding the features of the discharge process that need to be improved to avoid subsequent hospital readmission and enhance the discharge experience. However, many of these studies have focused solely on factors related to unplanned hospital readmissions and there has been limited success in operationalising improvements to the discharge process. The aim of this study was to explore and describe the factors that influence the decision to discharge adult medical patients from hospital, from patient, carer and staff perspectives. METHODS: A qualitative descriptive study was conducted in one acute medical ward in Melbourne, Australia. The study data were collected by observations of clinical practice and semi-structured interviews with patients, carers and staff. Participants were: i) English-speaking adults identified for discharge home, ii) patient carers, and iii) staff involved in the discharge process. Observation data were analysed using content analysis and interviews data were analysed using thematic analysis. RESULTS: Twenty-one discharges were observed, and 65 participants were interviewed: 21 patients, two carers, and 42 staff. Most patients (76%) were identified as being ready for discharge during morning medical rounds, and 90% of discharge decisions were made collaboratively by the medical team and the patient. Carers were observed to be notified in 15 discharges by the patient (n = 8), doctors (n = 4), or nursing staff (n = 3). Five themes were constructed from thematic analysis of interviews: Readiness for Home, Fragmented Collaboration, Health Literacy, Unrealistic Expectations, and Care beyond Discharge. A collaborative team and supportive carers were considered to enhance risk assessment and discharge planning, however fragmented communication between clinicians, and between clinicians and patients/carers was a barrier to discharge decision-making. CONCLUSIONS: Our study highlights the need for a more coordinated approach to discharge decision-making that optimises communication with patients and carers and multidisciplinary workflows and reduces fragmentation. The importance of patient-centred care and a personalised approach to care are well established. However, there is a need to design systems to customise the entirety of the patient journey, including the approach to discharge decision making.

The relationship between neutrophil to lymphocyte ratio (NLR) with rehospitalisation and mortality in patients with acute coronary syndrome (ACS).

OBJECTIVE: To determine the relationship of neutrophil-to-lymphocyte ratio with re-hospitalisation rate and death in acute coronary syndrome patients. METHODS: The retrospective, observational, analytical study was conducted at Surabaya Hospital, East Java, Indonesia, and comprised data of acute coronary syndrome patients from January to December 2021. Neutrophilto- lymphocyte ratio values taken during each admission were noted, and divided into 3 groups; <3, 3-5 moderate, and >5 high. Data was also noted for the frequency of rehospitalisation and mortality from the institutional medical records. Data was analysed using SPSS 23. RESULTS: Of the 102 patients, 83(81.4%) were males and 19(18.6%) were females. The overall mean age was 56.78±11.53 years. There were 48(47%) patients with low neutrophil-to-lymphocyte ratio, and 27(26.5%) each in the moderate and high categories. There was a strong relationship between neutrophil-to-lymphocyte ratio and mortality (p=0.038). The relationship between neutrophil-to-lymphocyte ratio and rehospitalisation was not significant (p=0.264). CONCLUSIONS: The neutrophil-to-lymphocyte ratio was associated with mortality during treatment, but was not associated with the incidence of rehospitalisation in acute coronary syndrome patients.

Comparison of preoperative NT-proBNP and simple cardiac risk scores for predicting postoperative morbidity after non-cardiac surgery with intermediate or high surgical risk.

BACKGROUND: Chronic heart failure (HF) is frequent in elderly patients undergoing non-cardiac surgery. Preoperative risk stratification is vital and can be achieved using simple clinical risk scores or preoperative N-terminal prohormone of brain natriuretic peptide (NT-proBNP) measurement. This study aimed to compare the predictivity of the revised cardiac risk index (RCRI), the American University of Beirut cardiovascular risk index (AUB-HAS2), and a score proposed by Andersson et al. for postoperative 30-day morbidity to preoperative NT-proBNP. METHODS: Preoperative NT-proBNP was measured in 199 consecutive patients aged ≥ 65 years undergoing elective non-cardiac surgery with intermediate or high surgical risk. The areas under the receiver operating characteristic curve (AUCROC) for the composite morbidity endpoint (CME) comprising the incidence of any rehospitalisation, acute decompensated HF, acute kidney injury, and any infection at postoperative day 30 were assessed. Multivariable logistic regression analysis derived new scores from the simple risk scores and the NT-proBNP cut-off of 450 pg/mL. RESULTS: AUB-HAS2, but not RCRI or Andersson score, significantly predicted the CME (AUB-HAS2: AUCROC 0.646, p < 0.001; RCRI: AUCROC 0.560, p = 0.126; Andersson: AUCROC 0.487, p = 0.760). The AUCROC was comparable between preoperative NT-proBNP (0.679, p < 0.001) and AUB-HAS2 (p = 0.334). Multivariable analyses revealed a preoperative NT-proBNP ≥ 450 pg/mL to be the strongest predictor of CME among the individual score components (p < 0.001). Adding preoperative NT-proBNP improved the predictive value of AUB-HAS2 and RCRI (modified AUB-HAS2: AUCROC 0.703, p < 0.001; modified RCRI: AUCROC 0.679, p < 0.001; both p < 0.001 vs original scores). The predictive value of the modified RCRI and AUB-HAS2 was comparable to preoperative NT-proBNP alone (p = 0.988 vs modified RCRI, p = 0.367 vs modified AUB-HAS2). CONCLUSIONS: The predictive value of postoperative morbidity varies significantly between the available simple perioperative risk scores and can be enhanced by preoperative NT-proBNP. New scores, including preoperative NT-proBNP, should be evaluated in large multicentre cohorts. TRIAL REGISTRATION: German Clinical Trials Register: DRKS00027871.

Unplanned Rehospitalisation due to Medication Harm following an Acute Myocardial Infarction.

INTRODUCTION: The contribution of medication harm to rehospitalisation and adverse patient outcomes after an acute myocardial infarction (AMI) needs exploration. Rehospitalisation is costly to both patients and the healthcare facility. Following an AMI, patients are at risk of medication harm as they are often older and have multiple comorbidities and polypharmacy. This study aimed to quantify and evaluate medication harm causing unplanned rehospitalisation after an AMI. METHODS: This was a retrospective cohort study of patients discharged from a quaternary hospital post-AMI. All rehospitalisations within 18 months were identified using medical record review and coding data. The primary outcome measure was medication harm rehospitalisation. Preventability, causality, and severity assessments of medication harm were conducted. RESULTS: A total of 1,564 patients experienced an AMI, and 415 (26.5%) were rehospitalised. Eighty-nine patients (5.7% of total population; 6.0% of those discharged) experienced a total of 101 medication harm events. Those with medication harm were older (p = 0.007) and had higher rates of heart failure (p = 0.005), chronic kidney disease (p = 0.046), chronic obstructive pulmonary disease (p = 0.037), and a prior history of ischaemic heart disease (p = 0.005). Gastrointestinal bleeding, acute kidney injury, and hypotension were the most common medication harm events. Forty percent of events were avoidable, and 84% were classed as "serious." Furosemide, antiplatelets, and angiotensin-converting enzyme inhibitors were the most commonly implicated medications. The median time to medication harm rehospitalisation was 79 days (interquartile range: 16-200 days). CONCLUSION: Medication harm causes unplanned rehospitalisation in 5.7% of all AMI patients (1 in 17 patients; 6.0% of those discharged). The majority of harm was serious and occurred within the first 200 days of discharge. This study highlights that measures to attenuate the risk of medication harm rehospitalisation are essential, including post-discharge medication management.

Preoperative routine measurement of NT-proBNP predicts postoperative morbidity after non-cardiac surgery with intermediate or high surgical risk: an observational study.

BACKGROUND: Chronic heart failure (HF) is a common clinical condition associated with adverse outcomes in elderly patients undergoing non-cardiac surgery. This study aimed to estimate a clinically applicable NT-proBNP cut-off that predicts postoperative 30-day morbidity in a non-cardiac surgical cohort. METHODS: One hundred ninety-nine consecutive patients older than 65 years undergoing elective non-cardiac surgery with intermediate or high surgical risk were analysed. Preoperative NT-proBNP was measured, and clinical events were assessed up to postoperative day 30. The primary endpoint was the composite morbidity endpoint (CME) consisting of rehospitalisation, acute decompensated heart failure (ADHF), acute kidney injury (AKI), and infection at postoperative day 30. Secondary endpoints included perioperative fluid balance and incidence, duration, and severity of perioperative hypotension. RESULTS: NT-proBNP of 443 pg/ml had the highest accuracy in predicting the composite endpoint; a clinical cut-off of 450 pg/ml was implemented to compare clinical endpoints. Although 35.2% of patients had NT-proBNP above the threshold, only 10.6% had a known history of HF. The primary endpoint was the composite morbidity endpoint (CME) consisting of rehospitalisation, acute decompensated heart failure (ADHF), acute kidney injury (AKI), and infection. Event rates were significantly increased in patients with NT-proBNP > 450 pg/ml (70.7% vs. 32.4%, p < 0.001), which was due to the incidence of cardiac rehospitalisation (4.4% vs. 0%, p = 0.018), ADHF (20.1% vs. 4.0%, p < 0.001), AKI (39.8% vs. 8.3%, p < 0.001), and infection (46.3% vs. 24.4%, p < 0.01). Perioperative fluid balance and perioperative hypotension were comparable between groups. Preoperative NT-proBNP > 450 pg/ml was an independent predictor of the CME in a multivariable Cox regression model (hazard ratio 2.92 [1.72-4.94]). CONCLUSIONS: Patients with NT-proBNP > 450 pg/ml exhibited profoundly increased postoperative morbidity. Further studies should focus on interdisciplinary approaches to improve outcomes through integrated interventions in the perioperative period. TRIAL REGISTRATION: German Clinical Trials Register: DRKS00027871, 17/01/2022.

Effect Of Urinary Kidney Injury Molecule-1 Levels On Short-Term Prognosis Of Chronic Heart Failure.

Objectives: To explore the influential elements of urinary kidney injury molecule-1 levels in chronic heart failure, and to judge its ability to predict 90-day rehospitalisation. METHODS: The cross-sectional case-control study was conducted from November 2020 to April 2021, at Hanzhong Central Hospital, China, and comprised adult patients having chronic heart failure with normal renal function in group A and healthy subjects in control group B. Patients in group A received anti-heart failure therapy for 1 week in hospital and were followed up for 90 days after discharge. Blood pressure (BP), kidney injury molecule-1, creatinine and serum pro- B-type natriuretic peptide levels were evaluated at baseline and 1 week after treatment in group A, while the samples were collected only at baseline in the control group B. Data was analysed using SPSS 22. RESULTS: Of the 102 subjects, 68(66.6%) were in group A; 44(64.7%) males and 24 (35.3%) females with mean age 62.38±9.51 years. The remaining 34(33.3%) subjects were in group B; 21(61.7%) males and 13(38.2%) females with mean age vs. 58.82±8.11 years. The urinary kidney injury molecule-1 level in group A was essentially on the increase compared to group B (p<0.05). After 1 week of treatment, the kidney injury molecule-1 level decreased compared to the baseline value in group A (p<0.05). Diastolic blood pressure and pro-B-type natriuretic peptide were the determinants of urinary kidney injury molecule-1 level, and urinary kidney injury molecule-1 level before discharge was significantly associated with rehospitalisation within 90 days (p<0.05). CONCLUSIONS: Urinary kidney injury molecule-1 level before discharge was a significant predictor of rehospitalisation within 90 days, and diastolic blood pressure and pro-B-type natriuretic peptide levels were the influencing factors of urinary kidney injury molecule-1. Also, urinary kidney injury molecule-1 levels were significantly raised in chronic heart failure.

Diagnostic Workup and Outcome in Patients with Profound Hyponatremia.

Hyponatremia is the most common electrolyte disorder. A proper diagnosis is important for its successful management, especially in profound hyponatremia. The European hyponatremia guidelines point at sodium and osmolality measurement in plasma and urine, and the clinical evaluation of volume status as the minimum diagnostic workup for the diagnosis of hyponatremia. We aimed to determine compliance with guidelines and to investigate possible associations with patient outcomes. In this retrospective study, we analysed the management of 263 patients hospitalised with profound hyponatremia at a Swiss teaching hospital between October 2019 and March 2021. We compared patients with a complete minimum diagnostic workup (D-Group) to patients without (N-Group). A minimum diagnostic workup was performed in 65.5% of patients and 13.7% did not receive any treatment for hyponatremia or an underlying cause. The twelve-month survival did not show statistically significant differences between the groups (HR 1.1, 95%-CI: 0.58-2.12, p-value 0.680). The chance of receiving treatment for hyponatremia was higher in the D-group vs. N-Group (91.9% vs. 75.8%, p-value < 0.001). A multivariate analysis showed significantly better survival for treated patients compared to not treated (HR 0.37, 95%-CI: 0.17-0.78, p-value 0.009). More efforts should be made to ensure treatment of profound hyponatremia in hospitalised patients.

Pulmonary important outcomes after extremely preterm birth: Parental perspectives.

AIM: To describe pulmonary important outcomes (PIO) reported by parents of children born extremely preterm. METHODS: Over 1-year, all parents of children aged 18 months-7-years born <29 weeks' GA were asked regarding their perspectives. The proportion of parents who described PIO and the themes they invoked were examined. Results were analysed using mixed methods. RESULTS: Among parental responses (n = 285, 98% participation rate), 44% spoke about PIO, invoking 24 themes pertaining to NICU hospitalisation and/or long-term respiratory health. Some themes had an impact primarily on the child (e.g. exercise limitation), while the majority had an impact on the whole family (e.g. hospital readmissions). None mentioned oxygen at 36 weeks nor bronchopulmonary dysplasia (BPD). The proportion of responses invoking PIO were statistically similar between parents of children with and without BPD, born before or after 25 weeks or with birthweight < or ≥750 g. PIO were more likely to be mentioned in males and among those readmitted for respiratory problems. CONCLUSION: Parents describe many PIO, most related to the functional impact of lung disease on their child (and family), rather than the diagnosis of BPD itself. Most of these PIO are not primary outcomes in large neonatal trials nor collected in neonatal databases.

A hybrid machine learning framework to improve prediction of all-cause rehospitalization among elderly patients in Hong Kong.

BACKGROUND: Accurately estimating elderly patients' rehospitalisation risk benefits clinical decisions and service planning. However, research in rehospitalisation and repeated hospitalisation yielded only models with modest performance, and the model performance deteriorates rapidly as the prediction timeframe expands beyond 28 days and for older participants. METHODS: A temporal zero-inflated Poisson (tZIP) regression model was developed and validated retrospectively and prospectively. The data of the electronic health records (EHRs) contain cohorts (aged 60+) in a major public hospital in Hong Kong. Two temporal offset functions accounted for the associations between exposure time and parameters corresponding to the zero-inflated logistic component and the Poisson distribution's expected count. tZIP was externally validated with a retrospective cohort's rehospitalisation events up to 12 months after the discharge date. Subsequently, tZIP was validated prospectively after piloting its implementation at the study hospital. Patients discharged within the pilot period were tagged, and the proposed model's prediction of their rehospitalisation was verified monthly. Using a hybrid machine learning (ML) approach, the tZIP-based risk estimator's marginal effect on 28-day rehospitalisation was further validated, competing with other factors representing different post-acute and clinical statuses. RESULTS: The tZIP prediction of rehospitalisation from 28 days to 365 days was achieved at above 80% discrimination accuracy retrospectively and prospectively in two out-of-sample cohorts. With a large margin, it outperformed the Cox proportional and linear models built with the same predictors. The hybrid ML revealed that the risk estimator's contribution to 28-day rehospitalisation outweighed other features relevant to service utilisation and clinical status. CONCLUSIONS: A novel rehospitalisation risk model was introduced, and its risk estimators, whose importance outweighed all other factors of diverse post-acute care and clinical conditions, were derived. The proposed approach relies on four easily accessible variables easily extracted from EHR. Thus, clinicians could visualise patients' rehospitalisation risk from 28 days to 365 days after discharge and screen high-risk older patients for follow-up care at the proper time.

Effectiveness of community hospital post-acute care on mortality, re-admission, institutionalization, and activation of a home care programme in Emilia-Romagna region, Italy.

BACKGROUND: In Italy, there is scant evidence on the impact of Community Hospitals (CHs) on clinical outcomes. AIMS: To assess the effectiveness of CHs versus long-term care hospital or inpatient rehabilitation facilities on mortality, re-admission, institutionalization, and activation of a home care programme in the Emilia-Romagna Region (ERR-Italy) after acute hospitalisation. METHODS: We implemented a cohort study drawing upon the ERR Administrative Healthcare Database System and including hospital episodes of ERR residents subject ≥ 65 years, discharged from a public or private hospital with a medical diagnosis to a CH or to usual care between 2017 and 2019. To control for confounding, we applied a propensity score matching. RESULTS: Patients transferred to CHs had a significantly lower risk of dying but an increased risk of being readmitted to community or acute hospital within 30/90 days from discharge. The hazard of institutionalisation within 30/90 days was significantly lower in the whole population of the CH exposed group but not among patients with cardiac or respiratory chronic diseases or diabetes. The activation of a home care program within 90 days was slightly higher for those who were transferred to a CH. DISCUSSION: The findings of our study show mixed effects on outcomes of patients transferred to CHs compared to those who followed the post-acute usual care and should be taken with cautious as could be affected by the so-called 'confounding by indication'. CONCLUSIONS: The study contributes to the intermediate care available evidence from a region with a well-established care provision through CHs.

[Management of congestive heart failure in the elderly after hospitalization for acute decompensation Interest of a dedicated territorial geriatric network ; the GERICCO-78 study]. / Prise en charge de l'insuffisance cardiaque chronique chez le sujet âgé fragile après hospitalisation pour décompensation aiguë ; apport d'une cellule de coordination ville-hôpital ; étude GERICCO-78.

AIMS: Heart failure (HF) is the leading cause of hospitalisation in the elderly in France. Early rehospitalisations are common, often through an emergency department. The aim of this study was to assess the impact of a primary care-hospital coordination network, with interventions by coordination nurses (IDEC), on the rehospitalisations after a first hospitalisation for acute decompensation in frail elderly HF patients. METHODS: From 01/10/2019 to 01/10/2021, 237 patients aged > 75 years with frailty criteria, hospitalised in 8 departments of 5 private or public hospitals in the Yvelines Sud health territory were followed by an IDEC (hospital visit, telephone contacts, home visit(s)) within 3 months of their return home. This prospective observational study analysed the rate of consultations to the emergency room, rehospitalisations (total and for acute HF), and the number of events avoided at 90 days after discharge. RESULTS: The mean age of the patients was 87 years, 54% were women, 68% had a left ventricular ejection fraction > 40%, and 70% had atrial fibrillation. Non-cardiac comorbidities were very frequent. At 3-month follow-up, mortality was 9.3% (22/237), only 27 patients (11.3%) consulted the emergency room for acute HF, and the rehospitalisation rate for HF was 19.8%, without difference according to left ventricular ejection fraction. A consultation to the emergency room or a rehospitalisation for heart failure could be avoided for 10% of patients. CONCLUSION: This study suggests that a primary care-hospital coordination network with dedicated coordination nurses is useful for the management of very elderly frail patients following hospitalisation for heart failure, limiting visits to the emergency room and rehospitalisations.

The impact of the number of electroconvulsive therapy sessions on relapse in major depressive disorder.

OBJECTIVE: Electroconvulsive therapy (ECT) is an effective treatment of major depressive disorder (MDD). However, high relapse rates after ECT represent clinical problems. To date, influence of number of ECT sessions on relapse rate remains to be elucidated. We evaluated associations between number of ECT sessions and relapse rate. METHODS: This retrospective review collected clinical data of 53 patients with MDD who received ECT. They underwent a 1-year follow-up after their last ECT session. We performed survival analysis to evaluate associations between number of ECT sessions and time until rehospitalisation or suicide. RESULTS: The patients were divided into a higher number of ECT group (≧8 sessions) and lower number of ECT group (<8 sessions). No significant difference was found regarding the patients' clinical and demographic data. Survival analysis using log-rank test revealed that the cumulative survival rate in the higher number of ECT group (79%) was higher compared with the lower number of ECT group (49%) (p = 0.042). CONCLUSION: Patients who underwent a higher number of ECT had improved survival rate compared with those who received a lower number. Therefore, additional sessions might be necessary, even in patients who achieved remission within seven ECT sessions, to prevent relapse.Key pointsHigh rate of relapse after ECT is a key problem.Impact of the Number of ECT sessions on relapse remains to be elucidated.In the present study, the patients with MDD who underwent eight or more sessions of ECT showed significant lower relapse rate compared with those who received less than eight sessions.

Compulsory treatment order and rehospitalisation: A New Zealand study.

OBJECTIVE: The effectiveness of compulsory treatment orders (CTO) in psychiatric practice is an area in need of evidence. There are no recent New Zealand publications on outcomes for patients under CTOs. This study examined the association between CTOs and subsequent rehospitalisation for patients with schizophrenia or related disorders. METHOD: Two year outcome data for 326 consecutive patients discharged in 2013 and 2014 was obtained from the Programme for the Integration of Mental Health Data database. Regression analyses were performed with rehospitalisation as the main outcome. RESULTS: For the 54% of patients discharged under CTOs, rehospitalisation was 2-4 times more likely for the CTO group than for voluntary patients. Patients under CTOs also spent longer in hospital post index admission (IA). However, patients placed under CTOs during IA stayed longer than those under CTOs prior to IA. Ethnicity did not contribute significantly to any of the findings. CONCLUSION: This study did not show that patients under CTOs were associated with subsequent reduced resource use. The subgroup analysis suggested that studies with a longer follow-up period may provide better insight into the utility of CTOs.

Clinical risk prediction model for 30-day all-cause re-hospitalisation or mortality in patients hospitalised with heart failure.

BACKGROUND: This study aimed to develop a risk prediction model (AUS-HF model) for 30-day all-cause re-hospitalisation or death among patients admitted with acute heart failure (HF) to inform follow-up after hospitalisation. The model uses routinely collected measures at point of care. METHODS: We analyzed pooled individual-level data from two cohort studies on acute HF patients followed for 30-days after discharge in 17 hospitals in Victoria, Australia (2014-2017). A set of 58 candidate predictors, commonly recorded in electronic medical records (EMR) including demographic, medical and social measures were considered. We used backward stepwise selection and LASSO for model development, bootstrap for internal validation, C-statistic for discrimination, and calibration slopes and plots for model calibration. RESULTS: The analysis included 1380 patients, 42.1% female, median age 78.7 years (interquartile range = 16.2), 60.0% experienced previous hospitalisation for HF and 333 (24.1%) were re-hospitalised or died within 30 days post-discharge. The final risk model included 10 variables (admission: eGFR, and prescription of anticoagulants and thiazide diuretics; discharge: length of stay>3 days, systolic BP, heart rate, sodium level (<135 mmol/L), >10 prescribed medications, prescription of angiotensin converting enzyme inhibitors or angiotensin receptor blockers, and anticoagulants prescription. The discrimination of the model was moderate (C-statistic = 0.684, 95%CI 0.653, 0.716; optimism estimate = 0.062) with good calibration. CONCLUSIONS: The AUS-HF model incorporating routinely collected point-of-care data from EMRs enables real-time risk estimation and can be easily implemented by clinicians. It can predict with moderate accuracy risk of 30-day hospitalisation or mortality and inform decisions around the intensity of follow-up after hospital discharge.

Do clinical pharmacy activities have an impact on the rehospitalisation rate of elderly patients admitted to a MUPA unit for a fall?

OBJECTIVE: to evaluate the effect of clinical pharmacy interventions on the unplanned rehospitalisation rates of elderly people admitted following a fall to the emergency medical treatment for the elderly unit (médecine d'urgence de la personne âgée [MUPA]) in a teaching hospital. DESIGN AND MEASURES: this was a longitudinal, comparative pilot study. Patients aged at least 75 who were admitted to the MUPA unit following a fall, who had at least two chronic diseases, and who were being treated with two or more medications were included between 1 February 2018 and 30 June 2018 and were followed for 90 days. The main outcomes were the unplanned rehospitalisation rate at Limoges Teaching Hospital within the 90 days (primary outcome), 30 days and 72 h. The estimated cost-saving was also assessed. RESULTS: 252 patients were included. The mean age was 88.4 ± 5.8 years and the average baseline number of medications was 8.3 ± 3.4. In total, 158 pharmaceutical interventions were performed, reflecting an acceptance rate of 94.9%. We found a significant reduction in the rate of unplanned rehospitalisations at 90 days (OR = 0.45 (0.26-0.79) P = 0.005). These results were also consistent at 30 days (P = 0.035) and 72 h (P = 0.041). We found a cost-saving of €37770 related to 21 avoided rehospitalisations. CONCLUSIONS: our results strongly emphasise the positive effects of clinical pharmacy services on the prevention of unplanned rehospitalisations of elderly patients admitted following a fall.

[Differences in epaAC© in heart failure patients with or without readmission: a retrospective case-control study]. / Unterschiede im epaAC© bei Patient_innen mit Herzinsuffizienz mit oder ohne Rehospitalisation.

Differences in epaAC© in heart failure patients with or without readmission: A retrospective case-control study Abstract. Background: Heart failure is one of the most frequent reasons for hospitalization in elderly people. In heart failure, approximately 22.8 % of hospitalised patients are rehospitalised within 30 days. The nursing assessment tool epaAC could provide information on risk factors for readmission. Aim: The aim of this study was to identify possible group differences in the items and scores of the epaAC discharge assessment with regard to the endpoint of unplanned readmissions within 30 days after discharge from index-hospitalisation. Methods: Using a retrospective case-control design, differences in the epaAC variables were investigated by descriptive and comparative statistics. Chi-square test, Wilcoxon test and t-test were performed with two-sided alpha level α < 0.05. Alpha error accumulation was accounted for by Benjamini & Hochberg correction. Results: No significant group differences were found in all items and scores of the discharge epaAC. There is only weak evidence that the presence of acute respiratory impairment at time of discharge is higher in the patient with rehospitalisation than in those without rehospitalisation. Conclusions: The items and scores of the nursing assessment instrument epaAC did not significantly differ between patients with or without 30-days readmission. Further exploration to assess the epaAC's potential to predict rehospitalisation in heart failure is needed.

Prevalence, characteristics and risk factors of frequently readmitted patients to an internal medicine service.

BACKGROUND: Unplanned hospital readmissions (HRA), which have been used as key performance index of healthcare quality, are becoming more prevalent. They are associated with substantial financial burden to hospital systems and considerable impacts on patients' physical and mental health. Patients with frequent readmissions are not well studied. AIMS: To determine the prevalence, characteristics and risk factors associated with frequent readmissions (FRA) to an internal medicine service at a tertiary public hospital. METHOD: A retrospective observational study was conducted at an internal medicine service in a tertiary teaching hospital between 1 January 2010 and 30 June 2016. FRA was defined as four or more readmissions within 12 months of discharge from the index admission (IA). Demographic and clinical characteristics and potential risk factors were evaluated. RESULTS: A total of 50 515 patients was included; 1657 (3.3%) had FRA and were associated with nearly 2.5 times higher in 12-month mortality rates. They were older, had higher rates of indigenous Australians (3.2%), more disadvantaged status (index of relative socio-economic disadvantage decile of 5.3) and more comorbidities (mean Charlson comorbidity index 1.4) in comparison, to infrequent readmission group. The mean length of hospital stay during the IA was 6 days for FRA group (21.4% staying more than 7 days) with higher incidence of discharge against medical advice (2.0% higher). Intensive care unit admission rate was 6.6% for FRA group compared with 3.9% for infrequent readmission group. Multivariate analysis showed mental disease and disorders, neoplastic, alcohol/drug use and alcohol/drug-induced organic mental disorders are associated with FRA. CONCLUSION: The risk factors associated with FRA were older age, indigenous status, being socially disadvantaged, having higher comorbidities and discharging against medical advice. Conditions that lead to FRA were mental disorders, alcohol/drug use and alcohol/drug-induced organic mental disorders and neoplastic disorders.

Systematic review and meta-analysis of the characteristics and outcomes of readmitted COVID-19 survivors.

The objective of the present study is to investigate the incidence, characteristics and outcomes of patients who were readmitted to hospital emergency departments or required re-hospitalisation following an index hospitalisation with a diagnosis of COVID-19. A systematic review of PubMed, EMBASE and pre-print websites was conducted between 1 January and 31 December 2020. Studies reporting on the incidence, characteristics and outcomes of patients with COVID-19 who represent or require hospital admission were included. Two authors independently performed study selection and data extraction. Study quality was assessed with the Newcastle-Ottawa Scale. Discrepancies were resolved by consensus or through an independent third reviewer. Data were synthesised according to the Preferred Reporting Items for Systematic Reviews guidelines. Six studies reporting on 547 readmitted patients were included. The overall incidence was 4.4%, most common in males (57.2%), and due to respiratory distress or prolonged COVID-19. Readmitted patients had a shorter initial hospital length of stay (LOS) compared with those with a single hospitalisation (8.1 ± 10.6 vs 13.9 ± 10.2 days). The mean time to readmission was 7.6 ± 6.0 days; the mean LOS on re-hospitalisation was 6.3 ± 5.6 days. Hypertension (odds ratio (OR) = 2.08; 95% confidence interval (CI) 1.69-2.55; P < 0.001; I2 = 0%), diabetes mellitus (OR = 1.77; 95% CI 1.38-2.27; P < 0.001; I2 = 0%) and chronic renal failure (OR = 2.37; 95% CI 1.09-5.14; P < 0.001; I2 = 0%) were more common in these patients. Intensive care admission rates were similar between the two groups; 12.8% (22/172) of readmitted patients died. In summary, readmitted patients following an index hospitalisation for COVID-19 were more commonly males with multiple comorbidities. Shorter initial hospital LOS and unresolved primary illness may have contributed to readmission.

Factors associated with in-hospital mortality and adverse outcomes during the vulnerable post-discharge phase after the first episode of acute heart failure: results of the NOVICA-2 study.

OBJECTIVE: To identify patients at risk of in-hospital mortality and adverse outcomes during the vulnerable post-discharge period after the first acute heart failure episode (de novo AHF) attended at the emergency department. METHODS: This is a secondary review of de novo AHF patients included in the prospective, multicentre EAHFE (Epidemiology of Acute Heart Failure in Emergency Department) Registry. We included consecutive patients with de novo AHF, for whom 29 independent variables were recorded. The outcomes were in-hospital all-cause mortality and all-cause mortality and readmission due to AHF within 90 days post-discharge. A follow-up check was made by reviewing the hospital medical records and/or by phone. RESULTS: We included 3422 patients. The mean age was 80 years, 52.1% were women. The in-hospital mortality was 6.9% and was independently associated with dementia (OR = 2.25, 95% CI = 1.62-3.14), active neoplasia (1.97, 1.41-2.76), functional dependence (1.58, 1.02-2.43), chronic treatment with beta-blockers (0.62, 0.44-0.86) and severity of decompensation (6.38, 2.86-14.26 for high-/very high-risk patients). The 90-day post-discharge combined endpoint was observed in 19.3% of patients and was independently associated with hypertension (HR = 1.40, 1.11-1.76), chronic renal insufficiency (1.23, 1.01-1.49), heart valve disease (1.24, 1.01-1.51), chronic obstructive pulmonary disease (1.22, 1.01-1.48), NYHA 3-4 at baseline (1.40, 1.12-1.74) and severity of decompensation (1.23, 1.01-1.50; and 1.64, 1.20-2.25; for intermediate and high-/very high-risk patients, respectively), with different risk factors for 90-day post-discharge mortality or rehospitalisation. CONCLUSIONS: The severity of decompensation and some baseline characteristics identified de novo AHF patients at increased risk of developing adverse outcomes during hospitalisation and the vulnerable post-discharge phase, without significant differences in these risk factors according to patient age at de novo AHF presentation.