Measuring appropriate use of acute beds. A systematic review of methods and results

The Role of the Discharge Planning Team on the Length of Hospital Stay and Readmission in Patients with Neurological Conditions: A Single-Center Retrospective Study

Background: Emerging evidence highlights the critical role of discharge planning teams in enhancing patient care. However, there is lack of data regarding how the implementation of a discharge planning system influences the length of stay (LOS) in hospital and readmission rates among patients with neurological diseases. We conducted a retrospective analysis to examine the effects of discharge planning application on the LOS and readmission rates for patients admitted under the neurology service in Saudi Arabia. Methods: This is a retrospective study conducted at King Abdulaziz Medical City-Western region of Saudi Arabia. We included all patients admitted and discharged under the neurology service between January 2018 and December 2019. The included patients who were divided into the 2018 group (not exposed to discharge planner) and the 2019 group (exposed to discharge planner). The primary endpoints were the LOS and readmission rates. Results: The study included 856 patients (436 allocated to the 2019 group and 420 allocated to the 2018 group). There was no difference between the two groups in the LOS after adjusting confounding factors (β = -0.58, 95% CI [-2.79, 1.61], p = 0.60). However, the 2019 group were more likely to be discharged within three days compared to the 2018 group (41% vs. 26%, p < 0.005). Our analysis showed that patients in the 2019 group were less likely to be readmitted compared to the 2018 group (adjusted odds ratio = 0.70, 95% CI [0.49-0.99], p = 0.0442). Conclusions: Implementation of a discharge planning team was associated with higher early discharge rates and lower hospital readmissions, suggesting potential benefits for healthcare resource utilization in neurological services.

A Novel Approach of Enhanced, Multidisciplinary Rehabilitation Services in the Hospital to Facilitate Home Discharge: The Rehab2Home Program

OBJECTIVE

To evaluate the effectiveness of an early, targeted, individualized, intensive rehabilitation program called Rehab2Home, designed to transition surgical patients directly from acute care to home.

DESIGN

The Rehab2Home program was implemented using a quality improvement (QI) approach between March 2023 and June 2023. The outcomes of the program were compared with a historical cohort of similar patients.

SETTING

Academic medical center.

PARTICIPANTS

Postsurgical patients (n=74) included were aged 18 years or older, recommended for subacute rehabilitation by physical therapy or occupational therapy, had some level of support at home, mild to no cognitive impairments, and moderate mobility impairments.

INTERVENTIONS

Patients received an enhanced rehabilitation therapy program from physical therapy, occupational therapy, speech-language pathology, and consultations with a physiatrist emphasizing readiness for discharge home. The team also conducted weekday interdisciplinary huddles.

MAIN OUTCOME MEASURE(S)

The primary outcome for the evaluation of the program was discharge location from the hospital. Secondary outcomes included the length of hospital stay and emergency department visits and potentially avoidable utilization (PAU) within 30 days of hospital discharge.

RESULTS

Seventy-four patients were included in the Rehab2Home program, with 66% discharging home compared to 47% in the historical controls. The program resulted in a 1.4 (95% CI, 1.1-1.6) times greater likelihood of discharging home and decreased the proportion of patients with potentially avoidable health care utilization by 63% (Risk Ratio: 0.37, 95% CI, 0.1-0.7), without a significant increase in length of stay (-0.6 days, 95% CI, -2.2 to 1.9).

CONCLUSIONS

The Rehab2Home program for postsurgical patients successfully facilitated home discharges and reduced postdischarge utilization. This model of rehabilitation shows promise for improving transitions of care from the hospital in this population.

Development and assessment of a machine learning tool for predicting emergency admission in Scotland

Emergency admissions (EA), where a patient requires urgent in-hospital care, are a major challenge for healthcare systems. The development of risk prediction models can partly alleviate this problem by supporting primary care interventions and public health planning. Here, we introduce SPARRAv4, a predictive score for EA risk that will be deployed nationwide in Scotland. SPARRAv4 was derived using supervised and unsupervised machine-learning methods applied to routinely collected electronic health records from approximately 4.8M Scottish residents (2013-18). We demonstrate improvements in discrimination and calibration with respect to previous scores deployed in Scotland, as well as stability over a 3-year timeframe. Our analysis also provides insights about the epidemiology of EA risk in Scotland, by studying predictive performance across different population sub-groups and reasons for admission, as well as by quantifying the effect of individual input features. Finally, we discuss broader challenges including reproducibility and how to safely update risk prediction models that are already deployed at population level.

Patient Factors Associated With Prolonged Length of Stay After Traumatic Brain Injury

Background For traumatic brain injury (TBI) survivors, recovery can lead to significant time spent in the inpatient/rehabilitation settings. Hospital length of stay (LOS) after TBI is a crucial metric of resource utilization and treatment costs. Risk factors for prolonged LOS (PLOS) after TBI require further characterization. Methodology We conducted a retrospective analysis of patients with diagnosed TBI at an urban trauma center. PLOS was defined as the 95th percentile of the LOS of the cohort. Patients with and without PLOS were compared using clinical/injury factors. Analyses included descriptive statistics, non-parametric analyses, and multivariable logistic regression for PLOS status. Results The threshold for PLOS was >24 days. In the cohort of 1,343 patients, 77 had PLOS. PLOS was significantly associated with longer mean intensive care unit (ICU) stays (16.4 vs. 1.5 days), higher mean injury severity scores (18.6 vs. 13.8), lower mean Glasgow coma scale scores (11.3 vs. 13.7) and greater mean complication burden (0.7 vs. 0.1). PLOS patients were more likely to have moderate/severe TBI, Medicaid insurance, and were less likely to be discharged home. In the regression model, PLOS was associated with ICU stay, inpatient disposition, ventilator use, unplanned intubation, and inpatient alcohol withdrawal. Conclusions TBI patients with PLOS were more likely to have severe injuries, in-hospital complications, and Medicaid insurance. PLOS was predicted by ICU stay, intubation, alcohol withdrawal, and disposition to inpatient/post-acute care facilities. Efforts to reduce in-hospital complications and expedite discharge may reduce LOS and accompanying costs. Further validation of these results is needed from larger multicenter studies.

Impact of a Pilot Project for Integrated Care on Hospitalization Rate among Older Adults in South Korea

Introduction

Since 2019, the Korean government has implemented a pilot project for integrated care to encourage healthy aging of older adults. This study investigated the changes in hospitalization rates among older adults who participated in the integrated care pilot project.

Methods

Administrative survey data collected from 13 local governments and the National Health Insurance Database were used in present study. The participants comprised 17,801 older adults who participated in the pilot project between August 01, 2019 and April 30, 2022 and 68,145 matched controls. A propensity score matching method was employed to select the control group, and this study employed difference-in-differences (DID) approach to examine variations in the hospitalization rate.

Results

The DID analysis revealed that the odds ratio for rates of hospitalization among older adults who participated in the pilot project was 0.88 (95% confidence interval [CI] 0.84, 0.91) in comparison to control group. In specifically, as compared to the control group, the odds ratio for hospitalization rates among the pilot project's discharged patients was 0.17 (95% CI 0.15, 0.20). Although not statistically significant, the odds ratio of older adults who utilized LTCI services was 0.93 (95% CI 0.83, 1.05), and the odds ratio of older adults who applied for LTCI but were rejected or were intensive social care was 1.09 (95% CI 0.95, 1.26) compared to the comparison group.

Discussion

The findings imply that the discharged patient group had greater medical demands than the other types, and it can be claimed that this is the group that may anticipate greater efficacy while using health services. In addition, the integrated care services provided by the pilot project have the effect of reducing unnecessary hospitalization such as social hospitalization.

Conclusion

Participants in the integrated care pilot project showed a lower hospitalization rate than the older adults who did not participate in the project but had similar characteristics. In particular, the admission rate of discharged patients showed a sharp decline.

Appropriateness of frequent use of emergency departments: A retrospective analysis in Rome, Italy

Background

Frequent users (FUs) are patients who repeatedly and inappropriately visit the emergency department (ED) for low-grade symptoms that could be treated outside the hospital setting. This study aimed to investigate the phenomenon of the FU in Rome by profiling such users and analyzing ED attendance by FUs.

Methods

The analysis was carried out for attendance in 2021 at 15 EDs in the Local Health Authority Roma 1 geographical area. A digital app collected data, including information on the following variables: number of attendance, demographic characteristics, emergency medical service (EMS) usage, triage code, and appropriateness of attendance. COVID-19 diagnosis was also studied to analyze any possible influence on ED attendance. Differences between FUs and non-FUs were investigated statistically by t-test and chi-square test. Univariate analysis and multivariable logistic regression were performed to analyze the associated factors.

Results

A total of 122,762 ED attendance and 89,036 users were registered. The FU category represented 2.9% of all users, comprising 11.9% of total ED attendance. There was a three times higher frequency of non-urgent codes in attendance of FU patients (FU: 9.7%; non-FU: 3.2%). FUs were slightly more likely to have used the EMS (13.6% vs. 11.4%) and had a lower frequency of appropriate ED attendance (23.8% vs. 27.0%). Multivariate logistic analysis confirmed a significant effect of triage code, gender, age, EMS usage, and COVID-19 diagnosis for the appropriateness of attendance. The results were statistically significant (p &lt; 0.001).

Conclusion

The FU profile describes mostly non-urgent and inappropriate attendance at the ED, including during the COVID-19 pandemic. This study represents an important tool for strengthening preventive policies outside the hospital setting. The Italian National Recovery and Resilience Plan represents an excellent opportunity for the development of new strategies to mitigate the phenomenon of FUs.

Do subsidized nursing homes and home care teams reduce hospital bed-blocking? Evidence from Portugal

Excessive length of hospital stay is among the leading sources of inefficiency in healthcare. When a patient is clinically fit to be discharged but requires support outside the hospital, which is not readily available, they remain hospitalized until a safe discharge is possible -a phenomenon called bed-blocking. I study whether the availability of subsidized nursing homes and home care teams reduces hospital bed-blocking. Using individual data on the universe of inpatient admissions at Portuguese hospitals during 2000-2015, I find that the entry of home care teams in a region reduces bed-blocking by 4 days per episode, on average. Nursing home entry only reduces bed-blocking among patients with high care needs or when the intensity of entry is high. Reductions in bed-blocking do not harm patients' health. The beds freed up by reducing bed-blocking are used to admit additional elective patients.

Machine learning decision support model for radical cystectomy discharge planning

PURPOSE

Timely and appropriate discharge placement for patients who have undergone radical cystectomy (RC) remains challenging. Our objective was to improve the discharge planning process by creating a machine learning model that helps to predict the need for non-home hospital discharge to a higher level of care.

MATERIALS AND METHODS

Patients undergoing elective radical cystectomy for bladder cancer from 2014-2019 were identified in the ACS-NSQIP database. A gradient boosted decision tree was trained on selected predischarge variables to predict discharge location, dichotomized into home and non-home. We used threshold-moving to calibrate model predictions and evaluated model performance on a testing set using receiver operating characteristic and precision recall curves. Model performance was further examined in subgroups of interest.

RESULTS AND CONCLUSIONS

A total of 11,881 patients met inclusion criteria with a mean age of 68.6 years. 10.6% of patients undergoing RC had non-home discharges. Our model predicting non-home discharge achieved an area under the receiver operating characteristic curve of 0.80 and an average precision of 0.33. After threshold-moving, our model had a recall of 0.757 and a precision of 0.211. Top variables by importance were septic shock occurrence, ventilator-use greater than 48 hours, organ space surgical site infection and unplanned intubation. Our model shows strong performance in identifying patients who required non-home discharge to higher levels of care, outperforming commonly used clinical indices and prior work. Modern machine learning techniques may be applied to support more timely and appropriate clinical decision making.

Strategies for utilisation management of hospital services: a systematic review of interventions

Background

To achieve efficiency and high quality in health systems, the appropriate use of hospital services is essential. We identified the initiatives intended to manage adult hospital services and reduce unnecessary hospital use among the general adult population.

Methods

We systematically reviewed studies published in English using five databases (PubMed, ProQuest, Scopus, Web of Science, and MEDLINE via Ovid). We only included studies that evaluated interventions aiming to reduce the use of hospital services or emergency department, frequency of hospital admissions, length of hospital stay, or the use of diagnostic tests in a general adult population. Studies reporting no relevant outcomes or focusing on a specific patient population or children were excluded.

Results

In total, 64 articles were included in the systematic review. Nine utilisation management methods were identified: care plan, case management, care coordination, utilisation review, clinical information system, physician profiling, consultation, education, and discharge planning. Primary case management was shown to effectively reduce emergency department use. Care coordination reduced 30-day post-discharge hospital readmission or emergency department visit rates. The pre-admission review program decreased elective admissions. The physician profiling, concurrent review, and discharge planning effectively reduced the length of hospital stay. Twenty three studies that evaluated costs, reported cost savings in the hospitals.

Conclusions

Utilisation management interventions can decrease hospital use by improving the use of community-based health services and improving the quality of care by providing appropriate care at the right time and at the right level of care.

Measuring medically unjustified hospitalizations in Switzerland

Background

Inappropriate use of acute hospital beds is a major topic in health politics. We present here a new approach to measure unnecessary hospitalizations in Medicine and Pediatrics.

Methods

The necessity of a hospital admission was determined using explicit criteria related to the recorded diagnoses. Two indicators (i.e. “unjustified” and “sometimes justified” stays) were applied to more than 800,000 hospital stays and a random sample of 200 of them was analyzed by two clinicians, using routine data available in medical statistics. The validation of the indicators focused on their precision, validity and adjustment, as well as their usefulness (i.e. interest and risk of abuse).

Results

Rates, adjusted for case mix (i.e. age of patient, admission planned or not), showed statistically significant differences among hospitals. Only 6.5% of false positives were observed for “unjustified stays” and 17% for “sometimes justified stays”. Respectively 7 and 12% of stays had an unknown status, due to a lack of sufficiently precise data. Considering true positives only, almost one third of medical and pediatric stays were classified as not strictly justified from a medical point of view in Switzerland. Among these stays, about one fifth could have probably been avoided without risk. To enable a larger ambulatory shift, recommendations were made to strengthen the ambulatory care, notably regarding post-emergency follow-up, cardiac and pulmonary functions’ monitoring, pain management, falls prevention, and specialized at-home services that should be offered.

Conclusion

We recommend using “unjustified stays” and “sometimes justified stays” indicators to monitor inappropriate hospitalizations. The latter could help the planning of reinforced ambulatory care measures to pursue the ambulatory shift. Nonetheless, we clearly advise against the use of these two indicators for hospitals financing purposes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07569-3.

Benchmarks for Needed Psychiatric Beds for the United States: A Test of a Predictive Analytics Model

The ideal balanced mental health service system presupposes that planners can determine the need for various required services. The history of deinstitutionalization has shown that one of the most difficult such determinations involves the number of needed psychiatric beds for various localities. Historically, such assessments have been made on the basis of waiting and vacancy lists, expert estimates, or social indicator approaches that do not take into account local conditions. Specifically, this study aims to generate benchmarks or estimated rates of needed psychiatric beds for the 50 U.S. states by employing a predictive analytics methodology that uses nonlinear regression. Data used were secured primarily from the U.S. Census’ American Community Survey and from the Substance Abuse and Mental Health Administration. Key predictors used were indicators of community mental health (CMH) service coverage, mental health disability in the adult population, longevity from birth, and the percentage of the 15+ who were married in 2018. The model was then used to calculate predicted bed rates based on the ‘what-if’ assumption of an optimal level of CMH service availability. The final model revealed an overall rate of needed beds of 34.9 per 100,000 population, or between 28.1 and 41.7. In total, 32% of the states provide inpatient psychiatric care at a level less than the estimated need; 28% at a level in excess of the need; with the remainder at a level within 95% confidence limits of the estimated need. These projections are in the low range of prior estimates, ranging from 33.8 to 64.1 since the 1980s. The study demonstrates the possibility of using predictive analytics to generate individualized estimates for a variety of service modalities for a range of localities.

Impact of Preoperative Risk Factors on Inpatient Stay and Facility Discharge After Free Flap Reconstruction

OBJECTIVE

To determine the preoperative risk factors most predictive of prolonged length of stay (LOS) or admission to a skilled nursing facility (SNF) or inpatient rehabilitation center (IPR) after free flap reconstruction of the head and neck.

STUDY DESIGN

Retrospective cohort study.

SETTING

Tertiary academic medical center.

METHODS

Retrospective review of 1008 patients who underwent tumor resection and free flap reconstruction of the head and neck at a tertiary referral center from 2002 to 2019.

RESULTS

Of 1008 patients (65.7% male; mean age of 61.4 years, SD 14.0 years), 161 (15.6%) were discharged to SNF/IPR, and the median LOS was 7 days. In multiple linear regression analysis, Charlson Comorbidity Index (CCI; P < .001), American Society of Anesthesiologists (ASA) classification (P = .021), female gender (P = .023), and inability to tolerate oral diet preoperatively (P = .006) were statistically significantly related to increased LOS, whereas age, body mass index (BMI), modified frailty index (MFI), a history of prior radiation or chemotherapy, and home oxygen use were not. Multiple logistic regression analysis demonstrated that CCI (odds ratio [OR] = 1.119, confidence interval [CI] 1.023-1.223), age (OR = 1.082, CI 1.056-1.108), and BMI <19.0 (OR = 2.141, CI 1.159-3.807) were the only variables statistically significantly related to posthospital placement in an SNF or IPR.

CONCLUSION

Common tools for assessing frailty and need for additional care may be inadequate in a head and neck reconstructive population. CCI appears to be the best of the aggregate metrics assessed, with significant relationships to both LOS and placement in SNF/IPR.

Prevalence, determinants and practical implications of inappropriate hospitalizations in older subjects: A prospective observational study

In a context of high demand for hospital services among older people, we aimed to assess the rate and determinants of inappropriate hospitalizations of older patients, and to what extent they were associated with inappropriate hospital stay. This prospective observational multicentre study evaluated a random sample of consecutive patients aged ≥ 70 years accessing the Emergency Department (ED) of two Italian tertiary hospitals. A standardized comprehensive geriatric assessment was carried out in each patient, including the Blaylock Risk Assessment Screen Scale (BRASS) for identification of patients at risk of difficult discharge. Inappropriate hospitalization was defined by the ED physician when patients did not necessitate hospital-provided procedures but was due to social reasons or lack of an alternative care-setting. Among 1877 patients (median age 80.7 years, 50.1% male), with a high prevalence of functional dependence and social isolation (around 30% and 25%, respectively), 767 (40.9%) were hospitalized. Incidence of inappropriate hospitalization was 14.6% (95% CI 12.1%-17.1%) and was associated with moderate-high risk of difficult discharge at BRASS (OR = 1.98, 95% CI 1.16-3.39, p = 0.013) and the presence of dementia with behavioural disorders (OR = 1.79, 95% CI 1.10-2.91, p = 0.020). Compared with patients appropriately admitted, inappropriate hospitalizations had shorter length of hospital stay but accounted for 1059/9154 days of stay (11.6%). Inappropriate hospitalizations occurred in less than 15% of cases, mainly accounted for by patients no longer manageable at home, but contributed to the greatest proportion of inappropriate hospital stay. These findings highlight the need of implementing appropriate home-care services and ensuring rapid access to suitable care-facilities for community-dwelling frail older patients.

An Early Screening Tool for Discharge Planning Shortened Length of Hospital Stay for Elderly Patients with Community-Acquired Pneumonia

Background

Community-acquired pneumonia is one of the most common diseases in elderly persons and usually results in a prolonged hospital stay. Discharge planning plays an important role in reducing the length of hospitalization. This study was designed to determine whether early screening for risk factors for delayed discharge could improve the quality of discharge planning.

Methods

This retrospective, observational study was conducted in two medical facilities from January 2016 to December 2018. Hospital A used a screening tool on admission (screening group): screening for risk factors for delayed discharge and initiating discharge planning immediately for those for whom it was applicable, and discharge planning in the stable phase for those for whom it was not applicable; and Hospital B initiated discharge planning without screening (usual group). Propensity score-matched pneumonia patients in the two groups were then compared. The primary outcome was length of hospital stay.

Results

A total of 648 patients were enrolled in this study. After adjusting for age, sex, aspiration, comorbidity, pneumonia severity index, and key person, 118 pairs underwent analysis. Length of stay was significantly different (20 days vs 13 days, p<0.001) between the groups. There were no differences in duration of antibiotic treatment, in-hospital mortality, and 30-day readmission (9 days vs 9 days, p=0.744; 10 (8.5%) vs 10 (8.5%), p=1.000; 10 (8.5%) vs 9 (7.6%), p=0.811, respectively).

Conclusion

Early screening for delayed discharge improved the quality of discharge planning by reducing the length of stay in pneumonia patients.

Getting Unstuck: Challenges and Opportunities in Caring for Patients Experiencing Prolonged Hospitalization While Stable for Discharge

Many physicians care for patients who remain in the hospital for prolonged periods despite being "medically ready" or stable for discharge. However, this phenomenon is not well-defined, and optimal strategies to address the problem are not known. A prolonged hospitalization past the point of medical necessity can harm patients, frustrate care teams, and is costly for the health care system. In this perspective, we describe opportunities to improve value of care for these patients through the lens of the Quadruple Aim, a common framework used to guide health care transformation efforts. We then offer recommendations, including some employed by our hospitals, for clinicians, researchers, and health care systems to improve the care for patients who are "stuck" in the hospital.

Prediction of Disposition Within 48 Hours of Hospital Admission Using Patient Mobility Scores

Delayed hospital discharges for patients needing rehabilitation in a postacute setting can exacerbate hospital-acquired mobility loss, prolong functional recovery, and increase costs. Systematic measurement of patient mobility by nurses early during hospitalization has the potential to help identify which patients are likely to be discharged to a postacute care facility versus home. To test the predictive ability of this approach, a machine learning classification tree method was applied retrospectively to a diverse sample of hospitalized patients (N = 761) using training and validation sets. Compared with patients discharged to home, patients discharged to a postacute facility were older (median, 64 vs 56 years old) and had lower mobility scores at hospital admission (median, 32 vs 41). The final decision tree accurately classified the discharge location for 73% (95% CI, 67%-78%) of patients. This study emphasizes the value of systematically measuring mobility in the hospital and provides a simple decision tree to facilitate early discharge planning.

Factors associated with low-acuity hospital admissions in a public safety-net setting: a cross-sectional study

Background

Given system-level focus on avoidance of unnecessary hospitalizations, better understanding admission decision-making is of utility. Our study sought to identify factors associated with hospital admission versus discharge from the Emergency Department (ED) for a population of patients who were assessed as having low medical acuity at time of decision.

Methods

Using an institutional database, we identified ED admission requests received from March 1, 2018 to Feb 28, 2019 that were assessed by a physician at the time of request as potentially inappropriate based on lack of medical acuity. Focused chart review was performed to extract data related to patient demographics, socioeconomic information, measures of illness, and system-level factors such as previous healthcare utilization and day/time of presentation. A binary logistic regression model was constructed to correlate patient and system factors with disposition outcome of admission to the hospital versus discharge from the ED. Physician-reported contributors to admission decision-making and chief complaint/reason for admission were summarized.

Results

A total of 349 (77.2%) of 452 calls resulted in admission to the hospital and 103 (22.8%) resulted in discharge from the ED. Predictors of admission included age over 65 (OR 3.5 [95%CI 1.1–11.6], p = 0.039), homelessness (OR 3.3 [95% CI 1.7–6.4], p=0.001), and night/weekend presentation (OR 2.0 [95%CI 1.1–3.5], p = 0.020). The most common contributing factors to the decision to admit reported by the responding physician included: lack of outpatient social support (35.8% of admissions), homelessness (33.0% of admissions), and substance use disorder (23.5% of admissions).

Conclusions

Physician medical decision-making regarding the need for hospitalization incorporates consideration of individual patient characteristics, social setting, and system-level barriers. Interventions aimed at reducing unnecessary hospitalizations, especially those involving patients with low medical acuity, should focus on underlying unmet needs and involve a broad set of perspectives.

Impact of a Resident-Centered Interprofessional Quality Improvement Intervention on Acute Care Length of Stay

Competency in interprofessional quality improvement and performance measurement is required by the Accreditation Council for Graduate Medical Education. We implemented an interprofessional quality improvement project to support trainee involvement in systems-level improvement to reduce hospital length of stay and engage trainees in efforts to improve the validity and reliability of clinical documentation contributing to risk-adjusted performance measures. The intervention had three components: daily interprofessional disposition huddles to discuss discharge needs, medical documentation curriculum to improve clinical data accuracy, and scheduled coding huddles to provide real-time feedback on documentation. Outcome measures included an unadjusted and risk-adjusted measure of hospital length of stay. Case severity index (CSI) served as a process measure. Statistical process control charts were used to measure change over time. The mean unadjusted length of stay decreased from 5.84 to 4.98 days. Both the unadjusted and the risk-adjusted length of stay measures exceeded the lower control limit of the statistical control chart. The CSI increased and exceeded the upper control limit of the statistical control chart. Improvements were sustained in the year following implementation. The intervention offers a model for academic institutions to satisfy new Common Program Requirements by engaging trainees in performance measurement and interprofessional improvement efforts.

Models and methods for determining the optimal number of beds in hospitals and regions: a systematic scoping review

BACKGROUND

Determining the optimal number of hospital beds is a complex and challenging endeavor and requires models and techniques which are sensitive to the multi-level, uncertain, and dynamic variables involved. This study identifies and characterizes extant models and methods that can be used to determine the required number of beds at hospital and regional levels, comparing their advantages and challenges.

METHODS

A systematic search was conducted using Web of Science, Scopus, Embase and PubMed databases, with the search terms hospital bed capacity, hospital bed need, hospital, bed size, model, and method.

RESULTS

Twenty-three studies met the criteria to be included in the review. Of these studies, a total of 11 models and 5 methods were identified, mainly designed to determine hospital bed capacity at the regional level. Common determinants of the required number of hospital beds in these models included demographic changes, average length of stay, admission rates, and bed occupancy rates.

CONCLUSIONS

There are no specific norms for the required number of beds at hospital and regional levels, but some of the identified models and methods may be used to estimate this number in different contexts. Moreover, it is important to consider alternative approaches to planning hospital capacity like care pathways to fix the limitations of "bed numbers".

The Importance of Place of Residence on Hospitalized Outcomes for Severely Injured Trauma Patients: A Trauma Registry Analysis

PURPOSE

Socioecological factors are understudied in relation to trauma patients' outcomes. This study investigated the association of neighborhood socioeconomic disadvantage (SED) and remoteness of residence on acute length of hospital stay days (ALSD) and inpatient mortality.

METHODS

A retrospective cohort study was conducted on adults hospitalized for major trauma in a Level 1 trauma center in southeast Queensland from 2014 to 2017. Neighborhood SED and remoteness indices were linked to individual patient variables. Step-wise multivariable negative binomial regression and proportional hazards regression analyses were undertaken, adjusting for injury and patient factors. Outcomes were ALSD and inpatient mortality.

FINDINGS

We analyzed 1,025 patients. Statistically significant increased hazard of inpatient mortality was found for older age (HR 3.53, 95% CI: 1.77-7.11), injury severity (HR 5.27, 95% CI: 2.78-10.02), remoteness of injury location (HR 1.75, 95% CI: 1.06-2.09), and mechanisms related to intentional self-harm or assault (HR 2.72, 95% CI: 1.48-5.03,). Excess mortality risk was apparent for rural patients sustaining less severe injuries (HR 4.20, 95% CI: 1.35-13.10). Increased risk for longer ALSD was evident for older age (RR 1.35, 95% CI: 1.07-1.71), head injury (RR 1.39, 95% CI: 1.19-1.62), extremity injuries (RR 1.82, 95% CI: 1.55-2.14), and higher injury severity scores (ISS) (RR 1.51, 95%: CI: 1.29-1.76).

CONCLUSIONS

Severely injured rural trauma patients are more likely to be socioeconomically disadvantaged and sustain injuries predisposing them to worse hospital outcomes. Further research is needed to understand more about care pathways and factors influencing the severity, mechanism and clinical consequences of rural-based traumatic injuries.

Assessment of appropriateness of hospitalisations in Ukraine: analytical framework, method and findings

OBJECTIVES

This article reviews the applicability of a customised version of the Appropriateness Evaluation Protocol (AEP) to evaluate the magnitude of inappropriate hospitalisations in two regions of Ukraine.

DATA AND METHODS

The original AEP was modified to develop a customised tool, which included criteria for the appropriateness of hospitalisation and duration of inpatient stay. The customisation of the tool followed the Delphi procedure. We randomly selected 381 medical records to test the feasibility and reliability of the method and 800 medical records to evaluate the scope of inappropriate hospitalisations. We used descriptive and analytical statistics, receiver operating characteristic curve analysis and Cohen's kappa to check the consistency between the findings of primary reviewers and experts.

RESULT

We observed high levels of agreement in conclusions of primary reviewers (reference standard) and experts during testing of the reliability and validity of the method. The external validity check showed that the use of the tool by different experts provided high accuracy: 95.1 sensitivity, 76.6 specificity and area under ROC-curve (AUC)=0.948 (р<0.001) for analysis of the appropriateness of admissions; 95.3 sensitivity, 84.7 specificity and AUC=0.900 (р=0.001) for the duration of hospitalisations. Cohen's kappa coefficient (κ) indicated agreement in expert evaluations of 0.915 (95% СІ 0.799 to 1.000) and 0.812 (95% СІ 0.749 to 0.875), respectively.We found that over one-third of admissions (38.1%; 95% СІ 33.9 to 43.5) and over half of total bed-days were unnecessary (57.4%; 95% СІ 56.4 to 58.5). The highest levels of stay were observed in hospitals' general medicine departments (64.6%; 95% СІ 63.0 to 66.3)compared with other departments included in the analysis.

CONCLUSION

The proposed method is robust in assessing the appropriateness of hospitalisations and duration of inpatient stays. The quantified levels of unnecessary hospital care indicate the need for improving efficiency and quality of care and optimising the excessive hospital capacities in Ukraine.

Delayed Hospital Discharges of Older Patients: A Systematic Review on Prevalence and Costs

PURPOSE OF THE STUDY

To determine the prevalence of delayed discharges of elderly inpatients and associated costs.

DESIGN AND METHODS

We searched Medline, Embase, Global Health, CAB Abstracts, Econlit, Web of Knowledge, EBSCO - CINAHL, The Cochrane Library, Health Management Information Consortium, and SCIE - Social Care Online for evidence published between 1990 and 2015 on number of days or proportion of delayed discharges for elderly inpatients in acute hospitals. Descriptive and regression analyses were conducted. Data on proportions of delayed discharges were pooled using a random effects logistic model and the association of relevant factors was assessed. Mean costs of delayed discharge were calculated in USD adjusted for Purchasing Power Parity (PPP).

RESULTS

Of 64 studies included, 52 (81.3%) reported delayed discharges as proportions of total hospital stay and 9 (14.1%) estimated the respective costs for these delays. Proportions of delayed discharges varied widely, from 1.6% to 91.3% with a weighted mean of 22.8%. This variation was also seen in studies from the same country, for example, in the United Kingdom, they ranged between 1.6% and 60.0%. No factor was found to be significantly associated with delays. The mean costs of delayed discharge also varied widely (between 142 and 31,935 USD PPP adjusted), reflecting the variability in mean days of delay per patient.

IMPLICATIONS

Delayed discharges occur in most countries and the associated costs are significant. However, the variability in prevalence of delayed discharges and available data on costs limit our knowledge of the full impact of delayed discharges. A standardization of methods is necessary to allow comparisons to be made, and additional studies are required-preferably by disease area-to determine the postdischarge needs of specific patient groups and the estimated costs of delays.

[Barber and Johnson diagram and latent reserve as tools to optimise the management of hospital beds]

INTRODUCTION

The measurement, evaluation and analysis of the bed resources are functions of the Admission and Clinical Documentation Department and are a challenge for the management of acute hospital admissions.The aim of the present study was to analyse the management of bed resources using the Barber and Johnson Diagram (B&J) and latent reserve, during epidemiological contingencies in the Hospital Universitario Río Hortega.

MATERIALS AND METHODS

A retrospective review was carried out on hospital admission indicators, from 2008 to February 2017, using the B&J diagram as a graphic tool to compare length of stay, replacement interval, turnover rate, monthly and annual occupancy rate for the hospital and services.The latent and manifest reserve was calculated.

RESULTS

The B&J diagram showed differences in occupancy rate and provision of functional beds between the years reviewed and the approaches used. A lower provision of beds and higher length of stay corresponded with an increase in occupancy, decrease in replacement interval, and increase in turnover rate. The latent reserve showed that, between a discharge and a new entry into the same bed, 14 inappropriately occupied beds could be available.

CONCLUSIONS

The review of the hospital admission indicators, their integration into the B&J diagram, and use of latent reserve could be included in the hospital information system and benefit the decision-making in the operational management of beds.

Hospitalized After Medical Readiness for Discharge: A Multidisciplinary Quality Improvement Initiative to Identify Discharge Barriers in General Medicine Patients

Reducing the length of hospitalization is a shared priority for patients, clinicians, and other health care stakeholders. However, patients can remain hospitalized after being "medically ready" for discharge, accumulating delayed discharge bed days (DDBDs). As part of a quality improvement initiative, the authors developed a method to measure DDBD and define discrete barriers to discharge identified by inpatient clinicians. Patients with delayed discharge had a higher rate of in-hospital complications compared to those who were discharged routinely. To identify modifiable barriers among patients with delayed discharges, 2 patient subgroups were defined: prolonged hospitalization (>19 DDBDs, top quintile accumulated) and extended hospitalization (≤19 DDBDs). Patients with prolonged hospitalization were more likely than those with extended hospitalization to have financial (P < .001) or behavioral (P < .001) barriers, homelessness (P < .05), and impairment of decision-making capacity (P < .01). Understanding the characteristics and discharge barriers of patients who are hospitalized despite medical readiness may increase appropriateness of inpatient resources.

Artificial neural networks and risk stratification in emergency departments

Emergency departments are characterized by the need for quick diagnosis under pressure. To select the most appropriate treatment, a series of rules to support decision-making has been offered by scientific societies. The effectiveness of these rules affects the appropriateness of treatment and the hospitalization of patients. Analyzing a sample of 1844 patients and focusing on the decision to hospitalize a patient after a syncope event to prevent severe short-term outcomes, this work proposes a new algorithm based on neural networks. Artificial neural networks are a non-parametric technique with the well-known ability to generalize behaviors, and they can thus predict severe short-term outcomes with pre-selected levels of sensitivity and specificity. This innovative technique can outperform the traditional models, since it does not require a specific functional form, i.e., the data are not supposed to be distributed following a specific design. Based on our results, the innovative model can predict hospitalization with a sensitivity of 100% and a specificity of 79%, significantly increasing the appropriateness of medical treatment and, as a result, hospital efficiency. According to Garson's Indexes, the most significant variables are exertion, the absence of symptoms, and the patient's gender. On the contrary, cardio-vascular history, hypertension, and age have the lowest impact on the determination of the subject's health status. The main application of this new technology is the adoption of smart solutions (e.g., a mobile app) to customize the stratification of patients admitted to emergency departments (ED)s after a syncope event. Indeed, the adoption of these smart solutions gives the opportunity to customize risk stratification according to the specific clinical case (i.e., the patient's health status) and the physician's decision-making process (i.e., the desired levels of sensitivity and specificity). Moreover, a decision-making process based on these smart solutions might ensure a more effective use of available resources, improving the management of syncope patients and reducing the cost of inappropriate treatment and hospitalization.

Reconfiguring in-patient services for adults with mental health problems: changing the balance of care

BACKGROUND

Research suggests that a significant minority of hospital in-patients could be more appropriately supported in the community if enhanced services were available. However, little is known about these individuals or the services they require.

AIMS

To identify which individuals require what services, at what cost.

METHOD

A 'balance of care' (BoC) study was undertaken in northern England. Drawing on routine electronic data about 315 admissions categorised into patient groups, frontline practitioners identified patients whose needs could be met in alternative settings and specified the services they required, using a modified nominal group approach. Costing employed a public-sector approach.

RESULTS

Community care was deemed appropriate for approximately a quarter of admissions including people with mild-moderate depression, an eating disorder or personality disorder, and some people with schizophrenia. Proposed community alternatives drew heavily on carer support services, community mental health teams and consultants, and there was widespread consensus on the need to increase out-of-hours community services. The costs of the proposed community care were relatively modest compared with hospital admission. On average social care costs increased by approximately £60 per week, but total costs fell by £1626 per week.

CONCLUSIONS

The findings raise strategic issues for both national policymakers and local service planners. Patients who could be managed at home can be characterised by diagnosis. Although potential financial savings were identified, the reported cost differences do not directly equate to cost savings. It is not clear whether in-patient beds could be reduced. However, existing beds could be more efficiently used.

DECLARATION OF INTEREST

None.

Post-acute care discharge delays for neurology inpatients: Opportunity to improve patient flow

Background

Hospital stays for patients discharged to post-acute care are longer and more costly than routine discharges. Issues disrupting patient flow from hospital to post-acute care facilities are an underrecognized strain on hospital resources. We sought to quantify the burden of medically unnecessary hospital days for inpatients with neurologic illness and planned discharge to post-acute care facilities.

Methods

We conducted a retrospective evaluation of hospital discharge delays for patients with neurologic disease and plans for discharge to post-acute care. We identified 100 sequential hospital admissions to an academic neurology inpatient service that were medically ready for discharge from December 4, 2017, to January 25, 2018. For each patient, we quantified the number of medically unnecessary hospital days, or all days in the hospital following the determination of medical discharge readiness.

Results

Among 100 patients medically ready for discharge with plans for post-acute care disposition (47 female, mean age 72.5 years, mean length of stay 12.3 days), 50 patients were planned for discharge to skilled nursing, 37 to acute rehabilitation, 10 to hospice/palliative care, and 3 to other facilities. There was a total of 1,226 patient-days, and 480 patient-days (39%) occurred following medical readiness for discharge. Medically unnecessary days ranged from 0 to 80 days per patient (mean 4.8, median 2.5, interquartile range 1-5 days).

Conclusion

Unnecessary hospital days represent a large burden for patients with neurologic illness requiring post-acute care on discharge. These discharge delays present an opportunity to improve hospital-wide patient flow.

Determinants of Inappropriate Admissions in County Hospitals in Rural China: A Cross-Sectional Study

Inappropriate admissions have contributed to the rapid increase in hospitalisations in rural China. This study characterised the degree and determinants of inappropriate admissions in county hospitals. We used expert consultation to develop an appropriateness evaluation protocol that included nine requirements for services and 21 indicators of disease severity. A total of 2230 medical records from 2014 were collected from five county hospitals by stratified cluster sampling and evaluated for appropriateness using the protocol in 2016. The determinants of inappropriate admissions were analysed by two-level logistic regression. The overall inappropriate admission rate was 15.2%. Patients aged.

Utility of Mayo Clinic's early screen for discharge planning tool for predicting patient length of stay, discharge destination, and readmission risk in an inpatient oncology cohort

PURPOSE

To examine the feasibility of using the Mayo Clinic's Early Screen for Discharge Planning (ESDP) tool in determining its predictive ability in an inpatient oncology hospital setting for variables including length of stay (LOS), discharge destination, and readmission risk.

METHODS

A prospective observational study was conducted at a metropolitan tertiary cancer centre in Melbourne, Australia. The ESDP score, along with patient outcomes and characteristics, were collected to examine the relationships between positive and negative ESDP scores and patient outcomes.

RESULTS

A total of 136 participants met inclusion criteria for this study. The proportion with positive ESDP scores was greater in those with unplanned hospital admissions compared with planned admissions (χ²(1, n = 136) = 3.94, p = 0.047). The ESDP status was not a significant predictor of oncology hospital LOS (r_pb = 0.116, p = 0.178); however, the ESDP scores did predict discharge destination (χ²(2, n = 136) = 20.22, p < .001). Those re-admitted within 14 days were more likely to have negative ESDP scores than those not readmitted within this time period (χ²(1, n = 136) = 5.22, p = 0.022). Those with positive ESDP scores received a greater number of hospital services whilst admitted than those with negative scores (r_pb = 0.388, p < .001) and were more likely to receive particular types of services.

CONCLUSION

The findings from this study suggest that the ESDP tool could be useful in an adult inpatient oncology population in a hospital with defined specialised hospital discharge planning services (SHDCPS). The ESDP may be beneficial for early identification of service types likely to be required in care and likely discharge destination, both of which can assist discharge planning (DP); however, the ESDP was not useful for predicting LOS or readmission risk in the adult inpatient oncology population without a SHDCPS model in place.

Does practice analysis agree with the ambulatory care sensitive conditions' list of avoidable unplanned admissions?: a cross-sectional study in the East of England

OBJECTIVES

To use significant event audits (SEAs) in primary care to determine which of a sample of emergency (unplanned) admissions were potentially avoidable; and compare with the National Health Service (NHS) list of ambulatory care sensitive conditions (ACSCs).

DESIGN

Analysis of unplanned medical admissions randomly identified in secondary care.

SETTING

Primary care in the East of England.

PARTICIPANTS

20 general practice teams trained to use SEA on unplanned admissions to identify potentially preventable factors.

INTERVENTIONS

SEA of admissions.

MAIN OUTCOME MEASURES

Level of agreement between those admissions identified as potentially preventable by SEA and the NHS ACSC list.

RESULTS

132 (26%) of randomly selected patients with unplanned admissions gave consent and an SEA was performed by their primary practice team. 130 SEA reports had sufficient data for our analysis. Practices concluded that 17 (13%) admissions were potentially preventable. The NHS ACSC list identified 36 admissions (28%) as potentially preventable. There was a low level of agreement between the practices and the NHS list as to which admissions were preventable (kappa=0.253). The ACSC list consisted mainly of respiratory admissions whereas the practice list identified a wider range of cases and identified context-specific factors as important.

CONCLUSIONS

There was disagreement between the NHS list and practice conclusions of potentially avoidable admissions. The SEAs suggest that the pathway into unplanned admission may be less dependent on the condition than on context-specific factors, and the assumption that unplanned admissions for ACSCs are reasonable indicators of performance for primary care may not be valid.

Patient Needs, Required Level of Care, and Reasons Delaying Hospital Discharge for Nonacute Patients Occupying Acute Hospital Beds

This study aims to determine the proportion of nonacute patients occupying acute care beds and to describe their needs, the appropriate level of alternative care, and reasons preventing discharge. Data from 952 patients hospitalized in an acute care unit for 30 days were obtained from their medical charts and by consulting with the medical team at two tertiary teaching hospitals. Among them, 333 (35%) were determined nonacute on day 30 of hospitalization. According to the Appropriateness Evaluation Protocol (AEP), 55% had no medical, nursing, or patient needs. Among nonacute patients with AEP needs, 88% were related to nursing/life-support services and 12% related to patient condition factors. Regarding alternative level of care, 186 (56%) were waiting for out-of-hospital resources, of which 36% were waiting for palliative care, 33% for long-term care, 18% for rehabilitation, and 12% for home care. For the remaining 147 (44%) nonacute patients, the alternative resources remained undetermined although acute care was no longer required. Main reasons preventing discharge included unavailability of alternative resources, ongoing assessment to determine appropriate resources, ongoing process with community care, and family/patient education/counseling. Available subacute facilities and community-based care would liberate acute care beds and facilitate their appropriate use.

Time to diagnosis and associated costs of an outpatient vs inpatient setting in the diagnosis of lymphoma: a retrospective study of a large cohort of major lymphoma subtypes in Spain

BACKGROUND

Mainly because of the diversity of clinical presentations, diagnostic delays in lymphoma can be excessive. The time spent in primary care before referral to the specialist may be relatively short compared with the interval between hospital appointment and diagnosis. Although studies have examined the diagnostic intervals and referral patterns of patients with lymphoma, the time to diagnosis of outpatient compared to inpatient settings and the costs incurred are unknown.

METHODS

We performed a retrospective study at two academic hospitals to evaluate the time to diagnosis and associated costs of hospital-based outpatient diagnostic clinics or conventional hospitalization in four representative lymphoma subtypes. The frequency, clinical and prognostic features of each lymphoma subtype and the activities of the two settings were analyzed. The costs incurred during the evaluation were compared by microcosting analysis.

RESULTS

A total of 1779 patients diagnosed between 2006 and 2016 with classical Hodgkin, large B-cell, follicular, and mature nodal peripheral T-cell lymphomas were identified. Clinically aggressive subtypes including large B-cell and peripheral T-cell lymphomas were more commonly diagnosed in inpatients than in outpatients (39.1 vs 31.2% and 18.9 vs 13.5%, respectively). For each lymphoma subtype, inpatients were older and more likely than outpatients to have systemic symptoms, worse performance status, more advanced Ann Arbor stages, and high-risk prognostic scores. The admission time for diagnosis (i.e. from admission to excisional biopsy) of inpatients was significantly shorter than the time to diagnosis of outpatients (12.3 [3.3] vs 16.2 [2.7] days; P < .001). Microcosting revealed a mean cost of €4039.56 (513.02) per inpatient and of €1408.48 (197.32) per outpatient, or a difference of €2631.08 per patient.

CONCLUSIONS

Although diagnosis of lymphoma was quicker with hospitalization, the outpatient approach seems to be cost-effective and not detrimental. Despite the considerable savings with the latter approach, there may be hospitalization-associated factors which may not be properly managed in an outpatient unit (e.g. aggressive lymphomas with severe symptoms) and the cost analysis did not account for this potentially added value. While outcomes were not analyzed in this study, the impact on patient outcome of an outpatient vs inpatient diagnostic setting may represent a challenging future research.

Prediction of post-acute care demand in medical and neurological inpatients: diagnostic assessment of the post-acute discharge score - a prospective cohort study

BACKGROUND

Early identification of patients requiring transfer to post-acute care (PAC) facilities shortens hospital stays. With a focus on interprofessional assessment of biopsychosocial risk, this study's aim was to assess medical and neurological patients' post-acute care discharge (PACD) scores on days 1 and 3 after hospital admission regarding diagnostic accuracy and effectiveness as an early screening tool. The transfer to PAC facilities served as the outcome ("gold standard").

METHODS

In this prospective cohort study, registered at ClinicalTrial.gov (NCT01768494) on January 2013, 1432 medical and 464 neurological patients (total n = 1896) were included consecutively between February and October 2013. PACD scores and other relevant data were extracted from electronic records of patient admissions, hospital stays, and interviews at day 30 post-hospital admission. To gauge the scores' accuracy, we plotted receiver operating characteristic (ROC) curves, calculated area under the curve (AUC), and determined sensitivity and specificity at various cut-off levels.

RESULTS

Medical patients' day 1 and day 3 PACD scores accurately predicted discharge to PAC facilities, with respective discriminating powers (AUC) of 0.77 and 0.82. With a PACD cut-off of ≥8 points, day 1 and 3 sensitivities were respectively 72.6% and 83.6%, with respective specificities of 66.5% and 70.0%. Neurological patients' scores showed lower accuracy both days: using the same cut-off, respective day 1 and day 3 AUCs were 0.68 and 0.78, sensitivities 41.4% and 68.7% and specificities 81.4% and 83.4%.

CONCLUSION

PACD scores at days 1 and 3 accurately predicted transfer to PAC facilities, especially in medical patients on day 3. To confirm and refine these results, PACD scores' value to guide discharge planning interventions and subsequent impact on hospital stay warrants further investigation.

TRIAL REGISTRATION

ClinialTrials.gov Identifier, NCT01768494 .

Hospital and Intensive Care Unit Length of Stay for Injury Admissions: A Pan-Canadian Cohort Study

OBJECTIVE

To assess the variation in hospital and intensive care unit (ICU) length of stay (LOS) for injury admissions across Canadian provinces and to evaluate the relative contribution of patient case mix and treatment-related factors (intensity of care, complications, and discharge delays) to explaining observed variations.

BACKGROUND

Identifying unjustified interprovider variations in resource use and the determinants of such variations is an important step towards optimizing health care.

METHODS

We conducted a multicenter, retrospective cohort study on admissions for major trauma (injury severity score >12) to level I and II trauma centers across Canada (2006-2012). We used data from the Canadian National Trauma Registry linked to hospital discharge data to compare risk-adjusted hospital and ICU LOS across provinces.

RESULTS

Risk-adjusted hospital LOS was shortest in Ontario (10.0 days) and longest in Newfoundland and Labrador (16.1 days; P < 0.001). Risk-adjusted ICU LOS was shortest in Québec (4.4 days) and longest in Alberta (6.1 days; P < 0.001). Patient case-mix explained 32% and 8% of interhospital variations in hospital and ICU LOS, respectively, whereas treatment-related factors explained 63% and 22%.

CONCLUSIONS

We observed significant variation in risk-adjusted hospital and ICU LOS across trauma systems in Canada. Provider ranks on hospital LOS were not related to those observed for ICU LOS. Treatment-related factors explained more interhospital variation in LOS than patient case-mix. Results suggest that interventions targeting reductions in low-value procedures, prevention of adverse events, and better discharge planning may be most effective for optimizing LOS for injury admissions.

Evaluation of the Appropriateness of Acute Hospitalisations in Hong Kong

Objective

To test the validity of the Hong Kong version of Appropriateness Evaluation Protocol and estimate the prevalence of inappropriate acute hospitalisations in Hong Kong.

Methods

A retrospective chart review of two hundred randomly selected patients admitted to the specialty of Internal Medicine and General Surgery via the Accident & Emergency department of 2 regional hospitals in 2008. Comparison between the Hong Kong version of Appropriateness Evaluation Protocol and the consensus of an expert panel on appropriateness of admissions was made. The extent of agreement between the reviewer using the protocol and the expert panel was measured.

Results

The kappa coefficient for agreement was 0.73 (95% confidence interval: 0.63-0.83). The prevalence of inappropriate acute hospitalisations was 29%.

Conclusions

The Hong Kong version of Appropriateness Evaluation Protocol is a valid tool for assessing the appropriateness of acute hospitalisations.

Implementing a 6-day physiotherapy service in rehabilitation: exploring staff perceptions

Objective Australian weekend rehabilitation therapy provision is increasing. Staff engagement optimises service delivery. The present mixed-methods process evaluation explored staff perceptions regarding implementation of a 6-day physiotherapy service in a private rehabilitation unit. Methods All multidisciplinary staff working in the rehabilitation unit were surveyed regarding barriers, facilitators and perceptions of the effect of a 6-day physiotherapy service on length of stay (LOS) and patient goal attainment at three time points: before and after implementation, as well as after modification of a 6-day physiotherapy service. Descriptive statistics and thematic analysis was used to analyse the data. Results Fifty-one staff (50%) responded. Before implementation, all staff identified barriers, the most common being staffing (62%) and patient selection (29%). After implementation, only 30% of staff identified barriers, which differed to those identified before implementation, and included staff rostering and experience (20%), timing of therapy (10%) and increasing the allocation of patients (5%). Over time, staff perceptions changed from being unsure to being positive about the effect of the 6-day service on LOS and patient goal attainment. Conclusion Staff perceived a large number of barriers before implementation of a 6-day rehabilitation service, but these did not eventuate following implementation. Staff perceived improved LOS and patient goal attainment after implementation of a 6-day rehabilitation service incorporating staff feedback. What is known about this topic? Rehabilitation weekend services improve patient quality of life and functional independence while reducing LOS. What does this study add? Staff feedback during implementation and modification of new services is important to address potential barriers and ensure staff satisfaction and support. What are the implications for practitioners? Staff engagement and open communication are important to successfully implement a new service in rehabilitation.

What becomes of people admitted to acute old age psychiatry wards? An exploration of factors affecting length of stay, delayed discharge and discharge destination

OBJECTIVES

The study sought to identify the variables associated with increased length of stay on old age psychiatry inpatient wards. It also explored the factors related to delayed discharge and the likelihood of patients admitted from home returning there.

METHODS

Data were collected on the sociodemographic, clinical and service receipt characteristics of a 6-month series of admissions to seven wards in England in 2010/2011. The cohort was followed for a 9- to 11-month period. The relationship between patients' status on admission and the specified outcome variables was explored.

RESULTS

Information was collected on 216 admissions, of whom 165 were discharged in the study period. Mean length of stay was 64 days. Female gender, higher dependency, greater challenging behaviour and locality predicted extended stay. Forty per cent of cases experienced delayed discharge. Better physical health, more cognitive impairment, receipt of social care and locality were associated with delayed discharge. The vast majority of patients admitted from home returned there. Younger patients and patients with less dependency, cognitive impairment and challenging behaviour had a higher likelihood of returning home. Patients receiving social care or admitted because of carer stress, a risk of self-neglect, accidental self-harm or abuse/exploitation were less likely to return home.

CONCLUSIONS

The study provides a useful starting point for identifying cases on which future efforts to improve inpatient outcomes might centre and suggests local rather than national responses may be needed. It also highlights an urgent need for a national focus on the scope, purpose and effectiveness of acute inpatient care. Copyright © 2016 John Wiley & Sons, Ltd.

Evidence for overuse of medical services around the world

Overuse, which is defined as the provision of medical services that are more likely to cause harm than good, is a pervasive problem. Direct measurement of overuse through documentation of delivery of inappropriate services is challenging given the difficulty of defining appropriate care for patients with individual preferences and needs; overuse can also be measured indirectly through examination of unwarranted geographical variations in prevalence of procedures and care intensity. Despite the challenges, the high prevalence of overuse is well documented in high-income countries across a wide range of services and is increasingly recognised in low-income countries. Overuse of unneeded services can harm patients physically and psychologically, and can harm health systems by wasting resources and deflecting investments in both public health and social spending, which is known to contribute to health. Although harms from overuse have not been well quantified and trends have not been well described, overuse is likely to be increasing worldwide.

What is inappropriate hospital use for elderly people near the end of life? A systematic review

BACKGROUND

Older people with advance chronic illness use hospital services repeatedly near the end of life. Some of these hospitalizations are considered inappropriate.

AIM

To investigate extent and causes of inappropriate hospital admission among older patients near the end of life.

METHODS

English language publications in Medline, EMBASE, PubMed, Cochrane library, and the grey literature (January 1995-December 2016) covering community and nursing home residents aged ≥60years admitted to hospital.

OUTCOMES

measurements of inappropriateness. A 17-item quality score was estimated independently by two authors.

RESULTS

The definition of 'Inappropriate admissions' near the end of life incorporated system factors, social and family factors. The prevalence of inappropriate admissions ranged widely depending largely on non-clinical reasons: poor availability of alternative sites of care or failure of preventive actions by other healthcare providers (1.7-67.0%); family requests (up to 10.5%); or too late an admission to be of benefit (1.7-35.0%). The widespread use of subjective parameters not routinely collected in practice, and the inclusion of non-clinical factors precluded the true estimation of clinical inappropriateness.

CONCLUSIONS

Clinical inappropriateness and system factors that preclude alternative community care must be measured separately. They are two very different justifications for hospital admissions, requiring different solutions. Society has a duty to ensure availability of community alternatives for the management of ambulatory-sensitive conditions and facilitate skilling of staff to manage the terminally ill in non-acute settings. Only then would the evaluation of local variations in clinically inappropriate admissions and inappropriate length of stay be possible to undertake.

Quick outpatient diagnosis in small district or general tertiary hospitals: A comparative observational study

While quick diagnosis units (QDUs) have expanded as an innovative cost-effective alternative to admission for workup, studies investigating how QDUs compare are lacking. This study aimed to comparatively describe the diagnostic performance of the QDU of an urban district hospital and the QDU of its reference general hospital.This was an observational descriptive study of 336 consecutive outpatients aged ≥18 years referred to the QDU of a urban district hospital in Barcelona (QDU1) during 2009 to 2016 for evaluation of suspected severe conditions whose physical performance allowed them to travel from home to hospital and back for visits and examinations. For comparison purposes, 530 randomly selected outpatients aged ≥18 years referred to the QDU of the reference tertiary hospital (QDU2), also in Barcelona, were included. Clinical and QDU variables were analyzed and compared.Mean age and sex were similar (61.97 (19.93) years and 55% of females in QDU1 vs 60.0 (18.81) years and 52% of females in QDU2; P values = .14 and .10, respectively). Primary care was the main referral source in QDU1 (69%) and the emergency department in QDU2 (59%). Predominant referral reasons in QDU1 and 2 were unintentional weight loss (UWL) (21 and 16%), anemia (14 and 21%), adenopathies and/or palpable masses (10 and 11%), and gastrointestinal symptoms (10 and 19%). Time-to-diagnosis was longer in QDU1 than 2 (12 [1-28] vs 8 [4-14] days; P < .001). Malignancy was more common in QDU2 than 1 (19 vs 13%; P = .001). Patients from both groups with malignancy, aged ≥65 years and requiring >2 visits to be diagnosed were in general more likely to be males, to have UWL and adenopathies and/or palpable masses but less likely anemia, to undergo more examinations except endoscopy, and to be referred onward to specialist outpatient clinics.Despite some differences, results showed that, for diagnostic purposes, the overall performance and effectiveness of QDUs of urban district and reference general hospitals in evaluating patients with potentially serious conditions were similar. This study, the first to compare the performance of 2 hospital-based QDUs, adds evidence to the opportunity of producing standardized guidelines to optimize QDUs infrastructure, functioning, and efficiency.

Unintentional weight loss: Clinical characteristics and outcomes in a prospective cohort of 2677 patients

BACKGROUND

Whereas there are numerous studies on unintentional weight loss (UWL), these have been limited by small sample sizes, short or variable follow-up, and focus on older patients. Although some case series have revealed that malignancies escaping early detection and uncovered subsequently are exceptional, reported follow-ups have been too short or unspecified and necropsies seldom made. Our objective was to examine the etiologies, characteristics, and long-term outcome of UWL in a large cohort of outpatients.

METHODS

We prospectively enrolled patients referred to an outpatient diagnosis unit for evaluation of UWL as a dominant or isolated feature of disease. Eligible patients underwent a standard baseline evaluation with laboratory tests and chest X-ray. Patients without identifiable causes 6 months after presentation underwent a systematic follow-up lasting for 60 further months. Subjects aged ≥65 years without initially recognizable causes underwent an oral cavity examination, a videofluoroscopy or swallowing study, and a depression and cognitive assessment.

RESULTS

Overall, 2677 patients (mean age, 64.4 [14.7] years; 51% males) were included. Predominant etiologies were digestive organic disorders (nonmalignant in 17% and malignant in 16%). Psychosocial disorders explained 16% of cases. Oral disorders were second to nonhematologic malignancies as cause of UWL in patients aged ≥65 years. Although 375 (14%) patients were initially diagnosed with unexplained UWL, malignancies were detected in only 19 (5%) within the first 28 months after referral. Diagnosis was established at autopsy in 14 cases.

CONCLUSION

This investigation provides new information on the relevance of follow-up in the long-term clinical outcome of patients with unexplained UWL and on the role of age on this entity. Although unexplained UWL seldom constitutes a short-term medical alert, malignancies may be undetectable until death. Therefore, these patients should be followed up regularly (eg yearly visits) for longer than reported periods, and autopsies pursued when facing unsolved deaths.

Identification of appropriate and potentially avoidable emergency department referrals in a tertiary cancer care center

PURPOSE

Referrals to the Emergency Department can be distressing to patients with advanced cancer and may be a non-optimizing health care service. We aimed to describe the appropriateness and potential avoidability of Emergency Department referrals in a tertiary cancer care center where only physician referrals are allowed.

METHODS

We prospectively reviewed the electronic medical charts of patients consecutively checked into the Emergency Department in August 2015. The appropriateness of referrals was assessed using a nationally validated classification (Classification Clinique des Malades aux Urgences) and local criteria. Potentially avoidable referrals were assessed using international classifications (Institute for Healthcare Improvement State Action on Avoidable Rehospitalizations diagnostic tool according to Kosecoff's criteria) and local criteria.

RESULTS

We included 500 referrals related to 423 patients. The mean age was 59 years, and 74% of cancers were progressive. The referrals were appropriate in 61% of cases. They were deemed potentially avoidable "with a high likelihood" in 33.4% (CI95% [29.3-37.5]) of cases, potentially avoidable "with a moderate likelihood" in 14.4% (CI95% [11.3-17.5]) of cases, and "non-avoidable" in 52% (CI95% [47.6-56.4]) of cases. Opportunities to avoid referrals after an index stay involved this hospital stay or discharge process in 66 cases (28%), the follow-up period in 59 cases (25%), or both in 66 cases (28%).

CONCLUSIONS

Potentially avoidable ED referrals are common in patients with cancer. These potentially avoidable ED referrals underline the importance of several domains of care coordination.

Where to go if not the hospital? Reviewing geriatric bed utilization in an acute care hospital in Singapore

AIM

Singapore is one of the fastest-aging countries in the world, and the demand for acute hospital care for older adults is expected to triple in the next 25 years. Hence, it is crucial to understand the opportunities in reducing potentially avoidable bed days (PABD), which are days spent in acute hospitals delivering only non-acute services. We aimed to access the prevalence, causes and consequences of PABD among geriatric patients.

METHODS

We examined all hospitalizations from 1 August through 31 December 2013 in the geriatric wards of an acute hospital in Singapore. PABD were identified using a modified Appropriateness Evaluation Protocol. Non-acute services were classified as subacute care, rehabilitative care, long-term care or social care. Hospitalization patterns were determined based on the presence or absence of non-acute services, and multinomial logistic regression was used to determine predictors of different patterns.

RESULTS

Of the 273 bed days used by 254 patients, 49% were potentially avoidable. The most common non-acute services provided were rehabilitative care (19%), subacute care (12%) and long-term care (8%). New acute issues arose after the admission conditions subsided in 2.4% of hospitalizations, 61% of which were nosocomial infections. Being socially at risk as assessed on admission predicted the development of new acute issues (sensitivity = 62%; specificity = 88%).

CONCLUSIONS

In the present study, almost half of the bed days were potentially avoidable. New acute issues can arise after PABD, which are dangerous to these frail older adults. Proactive discharge planning and increasing access to intermediate and long-term care services are required to reduce PABD. Geriatr Gerontol Int 2017; 17: 1575-1583.

Hospital length of stay following admission for traumatic brain injury in a Canadian integrated trauma system: A retrospective multicenter cohort study

BACKGROUND

Traumatic brain injury (TBI) is the leading cause of disability in children and young adults and costs CAD$3 billion annually in Canada. Stakeholders have expressed the urgent need to obtain information on resource use for TBI to improve the quality and efficiency of acute care in this patient population. We aimed to assess the components and determinants of hospital and ICU LOS for TBI admissions.

METHODS

We performed a retrospective multicenter cohort study on 11,199 adults admitted for TBI between 2007 and 2012 in an inclusive Canadian trauma system. Our primary outcome measure was index hospital LOS (admission to the hospital with the highest designation level). Index LOS was compared to total LOS (all consecutive admissions related to the injury). Expected LOS was calculated by matching TBI admissions to all-diagnosis hospital admissions by age, gender, and year of admission. LOS determinants were identified using multilevel linear regression.

RESULTS

Geometric mean total LOS was 1day longer than geometric mean index LOS (12.6 versus 11.7 days). Observed index and ICU LOS were respectively 4.2days and 2.5days longer than that expected according to all-diagnosis admissions. The six most important determinants of LOS were discharge destination, severity of concomitant injuries, extracranial complications, GCS, TBI severity, and mechanical ventilation, accounting for 80% of explained variation.

CONCLUSIONS

Results of this multicenter retrospective cohort study suggest that hospital and ICU LOS for TBI admissions are 56% and 119% longer than expected according to all-diagnosis admissions, respectively. In addition, hospital LOS is underestimated when only the index visit is considered and is largely influenced by discharge destination and extracranial complications, suggesting that improvements could be achieved with better discharge planning and interventions targeting prevention of in-hospital complications. This study highlights the importance of considering TBI patients as a distinct population when allocating resources or planning quality improvement interventions.

Room for one more? A review of the literature on 'inappropriate' admissions to hospital for older people in the English NHS

This paper reports the findings of a review of the literature on emergency admissions to hospital for older people in the UK, undertaken between May and June 2014 at the Health Services Management Centre, University of Birmingham. This review sought to explore: the rate of in/appropriate emergency admissions of older people in the UK; the way this is defined in the literature; solutions proposed to reduce the rate of inappropriate admissions; and the methodological issues which particular definitions of 'inappropriateness' raise. The extent to which a patient perspective is included in these definitions of inappropriateness was also noted, given patient involvement is such a key policy priority in other areas of health policy. Despite long-standing policy debates, relatively little research has been published on formal rates of 'inappropriate' emergency hospital admissions for older people in the UK NHS in recent years. What has been produced indicates varying rates of in/appropriateness, inconsistent ways of defining appropriateness and a lack of focus on the possible solutions to address the problem. Significantly, patient perspectives are lacking, and we would suggest that this is a key factor in fully understanding how to prevent avoidable admissions. With an ageing population, significant financial challenges and a potentially fragmented health and social care system, the issue of the appropriateness of emergency admission is a pressing one which requires further research, greater focus on the experiences of older people and their families, and more nuanced contextual and evidence-based responses.

Experiences of Patients in Acute and Closed Psychiatric Wards: A Systematic Review

PURPOSE

To obtain insight into the patients' experiences during treatment in an acute, closed psychiatric ward.

DESIGN AND METHODS

A systematic literature search was conducted in the databases Medline, Embase, CINAHL, and Cochrane.

FINDINGS

Ten articles were selected. Four main themes emerged from the literature: (a) the inappropriate use of the ward rules, (b) nurses' lack of time for interacting with patients, (c) the feeling of humiliation, and (d) the involvement of significant others.

PRACTICE IMPLICATIONS

Nurses can use the findings of this systematic review to improve quality of care in acute psychiatric units.

Individual and hospital-related determinants of potentially inappropriate admissions emerging from administrative records

INTRODUCTION

The appropriate use of health care is an important issue in developed countries. The purpose of this study was to ascertain the extent of potentially inappropriate hospital admissions and their individual, clinical and hospital-related determinants.

METHODS

Medical records were analyzed for the year 2014 held by the Local Heath Unit n. 13 in the Veneto Region of north-east Italy (19,000 records). The outcomes calculated were: admissions for conditions amenable to day hospital care; brief medical admissions; outlier lengths of stay for elderly patients' medical admissions; and medical admissions to surgical wards. Univariate analyses and logistic regression models were used to test associations with demographic, clinical and hospital ward covariates, including organizational indicators.

RESULTS

Inappropriate reliance on acute care beds ranged from 6% to 28%, depending on the type of quality indicator analyzed. Some individual features, and wards' specific characteristics were associated with at least one of the phenomena of inappropriate hospital resource usage. In particular, male gender, younger age and transferals seemed to affect inappropriate admissions to surgical wards. Potentially avoidable admissions featuring inpatients amenable to day hospital care were associated with subjects with fewer comorbidities and lower case-mix wards, while inappropriately short medical stays were influenced by patients' higher functional status and local residency and by lower bed occupancy rates. In conclusion, inappropriately long hospital stays for elderly cases were associated with patients with multiple pathologies in wards with a low bed-occupancy. Education level and citizenship did not seem to influence inappropriate admissions.

CONCLUSIONS

Some individual, clinical ad structural characteristics of patients and wards emerging from administrative records could be associated with inappropriate reliance on acute hospital beds. Analyzing the indicators considered in this study could generate inexpensive real-time data for identifying what determines potentially inappropriate hospital resource usage, and thus orient auditing activities and health care policy-making.