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Background: Hospitalisation can be a traumatic experience, where inpatients are exposed to an abundance of physical and psychological stressors. Evidence suggests that these hospital-related stressors negatively impact health: a phenomenon known as post-hospital syndrome. The current study aimed to identify hospital-related stressors, and to develop and provide initial validation for a new measure of in-hospital stress. Methods: Measure development occurred in three stages: (i) semi-structured interviews, (ii) item generation, and (iii) pilot testing. Twenty-one patients were interviewed regarding their recent hospital experiences, and a list of hospital-related stressors was produced. These stressors were compiled into a questionnaire and piloted on 200 recent inpatients to provide initial evidence of internal consistency and construct validity. Results: Stressors identified from the interviews captured all relevant questions from three previous hospital stress measures, plus 12 more. The most reported stressor was 'poor sleep'. These hospital-related stressors were developed into 67 questions, forming the Hospital Stress Questionnaire (HSQ). The HSQ showed excellent internal consistency and construct validity, and correlated with feelings of vulnerability and being unprepared to go home. Conclusion: The HSQ is a promising self-report tool for measuring in-hospital stress. Future research ought to investigate its psychometric properties further in larger and more diverse samples. The measure has potential to be used to monitor patient risk of post-hospital syndrome.

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BACKGROUND: Children in low- and middle-income countries are particularly vulnerable in the months following an initial health event (IHE), with increased risk of mortality caused mostly by infectious diseases. Due to exposure to a wide range of environmental stressors, hospitalization in itself might increase child vulnerability at discharge. The goal of this study was to disentangle the role of hospitalization on the risk of subsequent infection. METHODS: Data from a prospective, longitudinal, international, multicenter mother-and-child cohort were analysed. The main outcome assessed was the risk of subsequent infection within 3 months of initial care at hospital or primary healthcare facilities. First, risk factors for being hospitalized for the IHE (Step 1) and for having a subsequent infection (Step 2) were identified. Then, inpatients were matched with outpatients using propensity scores, considering the risk factors identified in Step 1. Finally, adjusted on the risk factors identified in Step 2, Cox regression models were performed on the matched data set to estimate the effect of hospitalization at the IHE on the risk of subsequent infection. RESULTS: Among the 1312 children presenting an IHE, 210 (16%) had a subsequent infection, mainly lower-respiratory infections. Although hospitalization did not increase the risk of subsequent diarrhoea or unspecified sepsis, inpatients were 1.7 (95% Confidence Intervals [1.0-2.8]) times more likely to develop a subsequent lower-respiratory infection than comparable outpatients. CONCLUSION: For the first time, our findings suggest that hospitalization might increase the risk of subsequent lower-respiratory infection adjusted on severity and symptoms at IHE. This highlights the need for robust longitudinal follow-up of at-risk children and the importance of investigating underlying mechanisms driving vulnerability to infection.

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After hospital discharge, patients experience a period of generalized risk for adverse mental and physical health outcomes (post-hospital syndrome [PHS]). Hospital stressors can explain these effects in patients (e.g., sleep disruption, deconditioning). Patients' partners also experience adverse outcomes following patient hospitalization, but mechanisms of these effects are unknown. The purpose of this study was to test whether greater times and nights of patient hospitalization (proxies for partner exposure to hospital stressors) are prospectively associated with greater increases in partner depression and in partner self-reported poor health. Participants were 7,490 married couples (11,208 individuals) enrolled in the Health and Retirement Study. Outcomes were prospective changes in depressive symptoms and self-reported poor health, and primary predictors were spouse hospitalization over the past two years (yes/no), spouse hospitalized ≥ two times (yes/no), and spouse spent ≥ eight nights in-hospital (yes/no). Covariates included age, gender, race, ethnicity, income, own hospitalization experiences during the past 12 months, and one's own and spouse comorbidities. Having a spouse who experienced two or more hospitalizations was associated with an increase in one's own depression over time, as was having a spouse who spent eight or more nights in-hospital. Spouse hospitalization was not associated with prospective changes in self-reported health. Results suggest that PHS mechanisms may account for adverse post-hospitalization outcomes in patients' partners.

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Acute-care hospital reencounters (ACHEs)-encompassing emergency department visits, observation stays, and hospital readmissions-following COVID-19 hospitalization may exacerbate health care system strain and impair recovery from illness. We sought to characterize these reencounters and factors associated with reencounters. We identified the first consecutive 509 patients hospitalized for COVID-19 within an IL hospital network, and examined ACHEs, experienced within 30 days and 4 months of index hospitalization. We identified independent predictors of reencounter using binary logistic regression. Of 509 patients, 466 (91.6%) were discharged alive from index COVID-19 hospitalization. Within 30 days and 4 months, 12.4% and 21.5% of patients, respectively, experienced ACHEs. The median time to first ACHE was 24.2 (IQR 6.5, 55) days. COVID-19 symptom exacerbation was the leading reason for early ACHE (44.8%). Reencounters, both within 30 days and 4 months, were associated with a history of a neurological disorder before COVID-19 (OR 2.78 [95% CI 1.53, 5.03] and OR 2.75 [95% CI 1.67, 4.53], respectively). Older patients and those with diabetes mellitus, chronic obstructive pulmonary disease, or organ transplantation tended towards more frequent ACHEs. Steroid treatment during COVID-19 hospitalization demonstrated reduced odds of 30-day reencounter (OR 0.31 [95% CI 0.091, 0.79]). Forty-nine patients had repeat SARS-CoV-2 nasopharyngeal testing during a reencounter; twelve (24.5%) patients had positive reencounter tests and experienced more frequent reencounters than those testing negative. COVID-19 symptom exacerbation is a leading cause of early ACHE after COVID-19 hospitalization, and steroid use during index hospitalization may reduce early reencounters. Neurologic illness before COVID-19 predicts ACHEs.

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BACKGROUND: A patient's self-reported health-related quality of life (HRQoL) can be quantified by a patient-reported outcome measure (PROM). A patient's HRQoL can provide another avenue to understand the 'post-hospital syndrome', a period after hospital discharge that a patient remains vulnerable to subsequent re-admission. The purpose of the study was to establish the feasibility of collecting HRQoL of older inpatients treated for acute illnesses on medical ward. Feasibility of the PROM would be qualitatively judged upon completion time, response rate and sensitivity to change in HRQoL over time. METHODS: A prospective observational cohort of consecutively admitted patients to a step-down medical ward over 1 year. The COOP/WONCA chart was the PROM. Patients were interviewed by the author face-to-face within 48 hours of admission and then 2 weeks after discharge by telephone. RESULTS: From the 300 patients admitted, 182 were excluded. Of the remaining 118, median age was 78 years (interquartile range, IQR, 64-86 years), and 71 (60.2%) were female. Proxies were used for 26 (22%) patients. Ninety-two (78%) completed follow-up. The participants were contacted at a median of 14 days (IQR, 13-16) after discharge. Exploratory analyses found that the COOP/WONCA had test-retest responsiveness, that is detected change in HRQoL over time. CONCLUSION: The completion time of 3 minutes, high response rate (78%) and test-retest responsiveness are evidence that collecting PROs from acutely unwell elderly patients using the COOP/WONCA is feasible. PRO research could become fundamental to the understanding of the 'post-hospital syndrome'.

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RATIONALE, AIMS, AND OBJECTIVES: HealthLinks: Chronic Care is a state-wide public hospital initiative designed to improve care for cohorts at-risk of potentially preventable hospitalizations at no extra cost. MonashWatch (MW) is an hospital outreach service designed to optimize admissions in an at-risk cohort. Telehealth operators make regular phone calls (≥weekly) using the Patient Journey Record System (PaJR). PaJR generates flags based on patient self-report, alerting to a risk of admission or emergency department attendance. 'Total flags' of global health represent concerns about self-reported general health, medication, and wellness. 'Red flags' represent significant disease/symptoms concerns, likely to lead to hospitalization. METHODS: A time series analysis of PaJR phone calls to MW patients with ≥1 acute non-surgical admissions in a 20-day time window (10 days pre-admission and 10 days post-discharge) between 23 December 2016 and 11 October 2017. Pettitt's hypothesis-testing homogeneity measure was deployed to analyse Victorian Admitted Episode/Emergency Minimum Datasets and PaJR data. FINDINGS: A MW cohort of 103 patients (mean age 74 ± 15 years; with 59% males) had 263 admissions was identified. Bed days ranged from <1 to 37.3 (mean 5.8 ± 5.8; median 4.1). The MW cohort had 7.6 calls on average in the 20-day pre- and post-hospital period. Most patients reported significantly increased flags 'pre-hospital' admission: medication issues increased on day 7.0 to 8.5; total flags day 3, worse general health days 2.5 to 1.8; and red flags of disease symptoms increased on day 1. These flags persisted following discharge. DISCUSSION/CONCLUSION: This study identified a 'pre-hospital syndrome' similar to a post-hospital phase aka the well-documented 'post-hospital syndrome'. There is evidence of a 10-day 'pre-hospital' window for interventions to possibly prevent or shorten an acute admission in this MW cohort. Further validation in a larger diverse sample is needed.

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INTRODUCTION AND HYPOTHESIS: Post-hospital syndrome (PHS), a 90-day period of health vulnerability related to physiologic stressors following recent inpatient admission, has been observed in surgical and non-surgical patients. We aim to explore its effects on readmission and complication rates in patients undergoing elective female mid-urethral sling placement for the treatment of stress urinary incontinence. METHODS: The Healthcare Cost and Utilization Project State Inpatient Database, State Emergency Department Database, and State Ambulatory Surgery Database for Florida between 2009 and 2014 were linked and utilized. Patients were identified as having undergone an outpatient mid-urethral sling placement with or without cystoscopy by CPT code. The primary exposure was PHS, defined as any inpatient admission within 90 days of mid-urethral sling placement. Patients with inpatient hospitalizations within 1 year of sling procedure were categorized based on timing of prior admission and analyzed. The primary outcomes were 30-day hospital readmission, rates of postoperative ED visits, minor/major complications rates, and overall 30-day cost. A multivariable logistic regression model was fit to assess independent predictors of adverse surgical outcomes. RESULTS: A total of 17,081 female patients who underwent mid-urethral sling procedures were identified. Patients with PHS were at higher risk for 30-day readmission [OR: 5.36 (IQR: 3.61-7.93); p < 0.005], 30-day ED visits [OR: 2.38 (IQR: 1.75-3.25); p < 0.005], major complications [OR: 6.22 (IQR: 4.67-8.29); p < 0.005], and minor complications [OR: 4.62 (IQR: 3.77-5.67); p < 0.005]. This risk was time dependent in nature with a decreasing risk profile the further surgery was from index hospitalization. Furthermore, PHS patients were more likely to incur an increased cost burden with an average 30-day increased cost of $705.80. CONCLUSIONS: Hospitalization within 90 days prior to mid-urethral sling placement is a risk-adjusted, independent predictor of increased rates of 30-day readmission rates, 30-day ED visits, 30-day minor/major complications, and increased hospital-related cost. Clinical and surgical outcomes may be improved with consideration of prior hospitalizations in determining the timing of mid-urethral sling placement for stress urinary incontinence.

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Although malnutrition is frequent in the old, little is known about its association with fatigue. We evaluated the relation of self-reported severe weight loss with fatigue and the predictors for fatigue in old patients at hospital discharge. Severe weight loss was defined according to involuntary weight loss ≥5% in the last three months. We determined fatigue with the validated Brief Fatigue Inventory questionnaire. The regression analyses were adjusted for age, sex, number of comorbidities, medications/day, and BMI. Of 424 patients aged between 61 and 98 y, 34.1% had severe weight loss. Fatigue was higher in patients with severe weight loss (3.7 ± 2.3 vs. 3.2 ± 2.3 points, p = 0.021). In a multinomial regression model, weight loss was independently associated with higher risk for moderate fatigue (OR:1.172, CI:1.026-1.338, p = 0.019) and with increased risk for severe fatigue (OR:1.209, CI:1.047-1.395, p = 0.010) together with the number of medications/day (OR:1.220, CI:1.023-1.455, p = 0.027). In a binary regression model, severe weight loss predicted moderate-to-severe fatigue in the study population (OR:1.651, CI:1.052-2.590, p = 0.029). In summary, patients with self-reported severe weight loss at hospital discharge exhibited higher fatigue levels and severe weight loss was an independent predictor of moderate and severe fatigue, placing these patients at risk for impaired outcome in the post-hospital period.

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Readmission within 30 days after hospital discharge for common cardiovascular conditions such as heart failure and acute myocardial infarction is extremely common among older persons. To incentivize investment in reducing preventable rehospitalizations, the United States federal government has directed increasing financial penalties to hospitals with higher-than-expected 30-day readmission rates. Uncertainty exists, however, regarding the best approaches to reducing these adverse outcomes. In this review, we summarize the literature on predictors of 30-day readmission, the utility of risk prediction models, and strategies to reduce short-term readmission after hospitalization for heart failure and acute myocardial infarction. We report that few variables have been found to consistently predict the occurrence of 30-day readmission and that risk prediction models lack strong discriminative ability. We additionally report that the literature on interventions to reduce 30-day rehospitalization has significant limitations due to heterogeneity, susceptibility to bias, and lack of reporting on important contextual factors and details of program implementation. New information is characterizing the period after hospitalization as a time of high generalized risk, which has been termed the post-hospital syndrome. This framework for characterizing inherent post-discharge instability suggests new approaches to reducing readmissions.