Improving Residential Aged Care Placement from Hospital Through the Implementation of a Digital Matching Solution - A Before-After Evaluation.

Patient discharges from hospital to residential aged care facilities (RACFs) are often delayed due to inefficiencies in matching them to suitable available beds. To investigate the improvements that digital solutions can offer here, case-mix adjusted Length of Stay (LOS) of patients discharged to RACFs from a major metropolitan Victorian hospital were compared before and after the introduction of a digital solution for matching patient needs and preferences to available RACFs places. The study found that after the digital solution was implemented, the period where a patient would wait in the hospital for a RACF placement post the Aged Care Assessment Services (ACAS) assessment, the LOS reduced by 26.0% [95% confidence interval (95%CI):8.5%-40.5%]. The corresponding decrease in complete LOS for the After period was 16.5% (95%CI=1.5%-29.4%). This equates to a significant reduction in time spent by vulnerable patients in hospital while potentially freeing up 88,805 (95%CI:28,934- 137,864) patient bed days and delivering a cost saving of $105,993,947 (95%CI:$34,651,867-$165,105,956) if applied to the reported number of hospital patient days used by those eligible and waiting for residential age care nationally across the country in 2021-22.

Predicting Delayed Postoperative Length of Stay Following Robotic Kidney Transplantation: Development and Simulation of Perioperative Risk Factors.

Background and Objective: Early discharge following robot-assisted kidney transplantation (RAKT) is a cost-effective strategy for reducing healthcare expenses while maintaining favorable short- and long-term prognoses. This study aims to identify predictors of postoperative delayed discharge in RAKT patients and develop a predictive model to enhance clinical outcomes. Materials and Methods: This retrospective study included 146 patients aged 18 years and older who underwent RAKT at a single tertiary medical center from August 2020 to January 2024. Data were collected on demographics, comorbidities, social and medical histories, preoperative labs, surgical information, intraoperative data, and postoperative outcomes. The primary outcome was delayed postoperative discharge (length of hospital stay > 7 days). Risk factors for delayed discharge were identified through univariate and multivariate regression analyses, leading to the development of a risk scoring system, the effectiveness of which was evaluated through receiver operating characteristic curve analysis. Results: 110 patients (74.8%) were discharged within 7 days post-transplant, while 36 (24.7%) remained hospitalized for 8 days or longer. Univariate and multivariate logistic regression analyses identified ABO incompatibility, BUN levels, anesthesia time, and vasodilator use as risk factors for delayed discharge. The RAKT score, incorporating these factors, demonstrated a predictive performance with a C-statistic of 0.789. Conclusions: This study identified risk factors for delayed discharge after RAKT and developed a promising risk scoring system for real-world clinical application, potentially improving postoperative outcome stratification in RAKT recipients.

Exploring the Ramifications of Delayed Hospital Discharges: Impacts on Patients, Physicians, and Healthcare Systems.

Prolonged hospital stays can significantly impede patients' recovery, negatively affecting anything from physical health via issues like hospital-acquired infections and increased complications due to immobility to psychological health. Several studies investigated the psychosocial impact of prolonged hospital stays, revealing a variety of patient perspectives, such as feeling uncertain and frustrated about their conditions, which can erode their trust in healthcare providers. Delayed discharges not only affect patients but also have multifaceted effects on healthcare providers, potentially reducing physician efficiency and contributing to higher rates of burnout among healthcare professionals. This article investigates the consequences of delayed versus early discharge on physicians, patients, and the overall hospital system. We conducted an extensive search through PubMed and Google Scholar using the keywords "delayed discharge," "hospital discharge," and "bed blocking" to identify all the recent studies highlighting the dynamics of patient discharge. Our results support the hypothesis that reducing delayed discharge rates will not only improve patient outcomes but also have widespread fiscal impacts. This review also outlines measures to reduce delayed discharges, ultimately leading to a significant enhancement in the healthcare system.

Decoding the persistence of delayed hospital discharge: An in-depth scoping review and insights from two decades.

OBJECTIVE: This article addresses the persistent challenge of Delayed Hospital Discharge (DHD) and aims to provide a comprehensive overview, synthesis, and actionable, sustainable plan based on the synthesis of the systematic review articles spanning the past 24 years. Our research aims to comprehensively examine DHD, identifying its primary causes and emphasizing the significance of effective communication and management in healthcare settings. METHODS: We conducted the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) method for synthesizing findings from 23 review papers published over the last two decades, encompassing over 700 studies. In addition, we employed a practical and comprehensive framework to tackle DHD. Rooted in Linderman's model, our approach focused on continuous process improvement (CPI), which highlights senior management commitment, technical/administrative support, and social/transitional care. Our proposed CPI method comprised several stages: planning, implementation, data analysis, and adaptation, all contributing to continuous improvement in healthcare delivery. This method provided valuable insights and recommendations for addressing DHD challenges. FINDINGS: Our DHD analysis revealed crucial insights across multiple dimensions. Firstly, examining causes and interventions uncovered issues such as limited discharge destinations, signaling unsustainable solutions, and inefficient care coordination. The second aspect explored the patient and caregiver experience, emphasizing challenges linked to staff uncertainty and negative physical environments, with notable attention to the underexplored area of caregiver experience. The third theme explored organizational and individual factors, including cognitive impairment and socioeconomic influences. The findings emphasized the importance of incorporating patients' data, recognizing its complexity and current avoidance. Finally, the role of transitional and social care and financial strategies was scrutinized, emphasizing the need for multicomponent, context-specific interventions to address DHD effectively. CONCLUSION: This study addresses gaps in the literature, challenges prevailing solutions, and offers practical pathways for reducing DHD, contributing significantly to healthcare quality and patient outcomes. The synthesis introduces the vital CPI stage, enhancing Linderman's work and providing a pragmatic framework to eradicate delayed discharge. Future efforts will address practitioner consultations to enhance perspectives and further enrich the study. PATIENT OR PUBLIC CONTRIBUTION: Our scoping review synthesizes and analyzes existing systematic review articles and emphasizes offering practical, actionable solutions. While our approach does not directly engage patients, it strategically focuses on extracting insights from the literature to create a CPI framework. This unique aspect is intentionally designed to yield tangible benefits for patients, service users, caregivers, and the public. Our actionable recommendations aim to improve hospital discharge processes for better healthcare outcomes and experiences. This detailed analysis goes beyond theoretical considerations and provides a practical guide to improve healthcare practices and policies.

Association between patient activation and delayed discharge in elective laparoscopic cholecystectomy: A prospective cohort analysis.

BACKGROUND: Improving patient activation may be an effective way to reduce healthcare costs and improve patient outcomes after surgery. OBJECTIVE: To determine whether preoperative patient activation is associated with delayed discharge (i.e., length of stay >24 h) after elective laparoscopic cholecystectomy. Postoperative symptoms, unscheduled access to healthcare facilities within seven days of surgery, unplanned hospital readmissions, and postoperative complications were analyzed as secondary outcomes. DESIGN: This cohort study was a secondary analysis of the DeDiLaCo study (Delayed Discharge after day-surgery Laparoscopic Cholecystectomy) collecting data of patients undergoing elective laparoscopic cholecystectomy during 2021 in Italy. Data was analyzed from June 2022 to April 2023. SETTING: 90 Italian surgical centers participating in the study. PARTICIPANTS: 4708 adult patients with an instrumental diagnosis of gallbladder disease and undergoing laparoscopic cholecystectomy. Patient activation was assessed using the Italian translation of Patient Activation Measure in the preoperative setting. RESULTS: Of 4532 cases analyzed the median (IQR) Patient Activation Measure score was 80.3 (71.2-92.3). Participants were on average 55.5 years of age and 58.1 % were female. Two groups based on the activation level were created: 270 (6 %) had low activation, and 4262 had high activation. The low activation level was associated with the likelihood of delayed discharge (odds ratio [OR] 1.47, 95 % CI, 1.11-1.95; P = .008), higher symptom burden (OR 1.99, 95 % CI 1.49-2.66, P < .0001), and unplanned healthcare utilization within seven days after hospital discharge (OR 1.85, 95 % CI, 1.29-2.63; P = .001). There was no difference between the high and low activation groups in the incidence of postoperative complications (OR 1.28, 95 % CI, 0.95-1.73; P = .10) and hospital readmission after discharge (OR 0.95, 95 % CI, 0.30-3.05; P = .93). CONCLUSIONS: Our results suggest that patients with low activation have 1.47 times the risk of delayed discharge compared with patients with higher activation, almost twice the risk of the onset of postoperative symptoms, and 1.85 times the risk of unscheduled use of hospital services. Screening for patient activation in the preoperative setting could not only identify patients not suitable for early discharge, but more importantly, help physicians and nurses develop tailored interventions.

Delayed discharge in inpatient psychiatric care: a systematic review.

BACKGROUND: Delayed discharge is problematic. It is financially costly and can create barriers to delivering best patient care, by preventing return to usual functioning and delaying admissions of others in need. This systematic review aimed to collate existing evidence on delayed discharge in psychiatric inpatient settings and to develop understanding of factors and outcomes of delays in these services. METHODS: A search of relevant literature published between 2002 and 2022 was conducted on Pubmed, PsycInfo and Embase. Studies of any design, which published data on delayed discharge from psychiatric inpatient care in high income countries were included. Studies examining child and adolescent, general medical or forensic settings were excluded. A narrative synthesis method was utilised. Quality of research was appraised using the Mixed Methods Appraisal Tool (MMAT). RESULTS: Eighteen studies from England, Canada, Australia, Ireland, and Norway met the inclusion criteria. Six main reasons for delayed discharge were identified: (1) accommodation needs, (2) challenges securing community or rehabilitation support, (3) funding difficulties, (4) family/carer factors, (5) forensic considerations and (6) person being out of area. Some demographic and clinical factors were also found to relate to delays, such as having a diagnosis of schizophrenia or other psychotic disorder, cognitive impairment, and increased service input prior to admission. Being unemployed and socially isolated were also linked to delays. Only one study commented on consequences of delays for patients, finding they experienced feelings of lack of choice and control. Four studies examined consequences on services, identifying high financial costs. CONCLUSION: Overall, the findings suggest there are multiple interlinked factors relevant in delayed discharge that should be considered in practice and policy. Suggestions for future research are discussed, including investigating delayed discharge in other high-income countries, examining delayed discharge from child and forensic psychiatric settings, and exploring consequences of delays on patients and staff. We suggest that future research be consistent in terms used to define delayed discharge, to enhance the clarity of the evidence base. REVIEW REGISTRATION NUMBER ON PROSPERO: 292515. DATE OF REGISTRATION: 9th December 2021.

Clinical characteristics and predictors of delayed discharge among children with SARS­CoV­2 Omicron variant infection.

The present study investigated the epidemiology and clinical characteristics of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant and determined the risk factors for delayed discharge or release from isolation for pediatric patients in Quanzhou, China in 2022. There were 145, 254 and 23 patients in the asymptomatic, mildly symptomatic and moderately symptomatic categories, respectively. The proportion of pediatric patients in the moderately symptomatic category increased with increasing age. No child aged <1 year and 9.02% of patients aged 13-18 years were in the moderately symptomatic category. The proportion of patients with asymptomatic infection did not differ significantly by vaccination status. The median days until the first negative conversion of viral RNA was 11 days, and the median hospitalization duration was 16 days. Most symptoms appeared in the upper respiratory tract. Notably, ~33.23% of patients showed elevated aspartate aminotransferase levels. C-reactive protein and interleukin-6 (IL-6) levels, and lymphocyte counts were consistently lower in asymptomatic patients than those in in symptomatic patients. Adjusted logistic regression analyses indicated that IL-6 levels and time to the first negative conversion of viral RNA were independent risk factors for delayed discharge. The area under the curve of the regression model for predicting delayed discharge was 0.760. In conclusion, these results could facilitate the formulation of global epidemic prevention policies for pediatric patients.

Association between obesity and risk of delayed discharge and unplanned readmission for day surgery: A systematic review and meta-analysis.

AIMS: This work aims to investigate the association between obesity and risk of delayed discharge and unplanned readmission in day surgery patients. BACKGROUND: Day surgeries are well received and developing rapidly. Associations between obesity and delayed discharge and unplanned readmission, which are clinically relevant outcomes in day surgeries, are complex. DESIGN: A systematic review and meta-analysis was conducted. DATA SOURCES: The PubMed, Web of Science, EMBASE, Cochrane Library, CNKI, VIP, and Wan Fang databases were comprehensively searched from inception until January 2021. REVIEW METHODS: Two independent reviewers assessed the studies and extracted data. Pooled estimates were obtained using a random-effects model. RESULTS: Eleven articles published between 2007 and 2020 were finally included. Obesity appeared not to increase the risk of delayed discharge. However, morbid obesity seemed to be associated with a higher risk of delayed discharge. The meta-analysis revealed no relationship between higher body mass index (BMI) and unplanned readmission for day surgery patients. CONCLUSIONS: Obesity appeared not to increase the risk of delayed discharge except in patients with morbid obesity. Additionally, a higher BMI was not associated with increased risk of unplanned readmission after day surgery. Future studies are required to address this issue further in different types of surgery and areas.

What Factors Increase Odds of Long-Stay Delayed Discharge in Alternate Level of Care Patients?

OBJECTIVE: The objective of this study was to determine the factors that increase the odds of long-stay delayed discharge in alternate level of care (ALC) patients using data collected from the Ontario Wait Time Information System (WTIS) database. DESIGN: Retrospective cohort study utilizing data from Niagara Health's WTIS database. WTIS includes individuals admitted to any of the Niagara Health sites that have been designated as ALC. SETTING AND PARTICIPANTS: Sample consisted of 16,429 ALC patients who received care in Niagara Health hospitals from September 2014 to September 2019 and were recorded in the WTIS database. METHODS: ALC designation of 30 or more days was used as the threshold for a long-stay delayed discharge. This study used binary logistic regression modeling to analyze sex, age, admission source, and discharge destination as well needs/barriers requirements to assess the likelihood of a long-stay delayed discharge among acute care (AC) and post-acute care (PAC) patients given the presence of each variable. Sample sizes calculations and receiver operating characteristic curves were used to verify the validity of the regression model. RESULTS: Overall, 10.2% of the sample were considered long-stay ALC patients. Both AC and PAC long-stay ALC patients were more likely to be male [OR = 1.23, (1.06-1.43); OR = 1.28, (1.03-1.60)] and have a discharge destination of a long-term care bed [OR = 28.68, (22.83-36.04); OR = 6.22, (4.75-8.15)]. AC patients had bariatric [OR = 7.16, (3.45-14.83)], behavioral [OR = 1.89, (1.22-2.91)], infection (isolation) [OR = 2.31, (1.63-3.28)], and feeding [OR = 6.38, (1.82-22.30)] barriers hindering discharge. PAC patients had no significant barriers hindering patient discharge. CONCLUSIONS AND IMPLICATIONS: Shifting the focus from ALC patient designation to short- vs long-stay ALC patients allowed this study to focus on the subset of patients that are disproportionately affecting delayed discharges. Understanding the importance of specialized patient requirements in addition to clinical factors can help hospitals become more prepared in preventing delayed discharges.

Construction and validation of a risk prediction model for delayed discharge in elderly patients with hip fracture.

BACKGROUND: Because of their poor physical state, elderly hip fracture patients commonly require prolonged hospitalization, resulting in a drop in bed circulation rate and an increased financial burden. There are currently few predictive models for delayed hospital discharge for hip fractures. This research aimed to develop the optimal model for delayed hospital discharge for hip fractures in order to support clinical decision-making. METHODS: This case-control research consisted of 1259 patients who were continuously hospitalized in the orthopedic unit of an acute hospital in Tianjin due to a fragility hip fracture between January and December 2021. Delayed discharge was defined as a hospital stay of more than 11 days. The prediction model was constructed through the use of a Cox proportional hazards regression model. Furthermore, the constructed prediction model was transformed into a nomogram. The model's performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration curves and decision curve analysis (DCA). the STROBE checklist was used as the reporting guideline. RESULTS: The risk prediction model developed contained the Charlson Comorbidity Index (CCI), preoperative waiting time, anemia, hypoalbuminemia, and lower limbs arteriosclerosis. The AUC for the risk of delayed discharge was in the training set was 0.820 (95% CI,0.79 ~ 0.85) and 0.817 in the testing sets. The calibration revealed that the forecasted cumulative risk and observed probability of delayed discharge were quite similar. Using the risk prediction model, a higher net benefit was observed than when considered all patients were at high risk, demonstrating good clinical usefulness. CONCLUSION: Our prediction models could support policymakers in developing strategies for the optimal management of hip fracture patients, with a particular emphasis on individuals at high risk of prolonged LOS.

Waiting for home: The experience of delayed discharge for people with dementia.

INTRODUCTION: Individuals who remain in hospital once their health has stabilised experience delayed discharge. This often occurs for people with dementia when care needs exceed what can be managed at home. There is little research that takes into account the experience and needs of these patients. This Interpretive Description (ID) study, theoretically grounded in personhood and social citizenship perspectives, focused on the perspectives of people with dementia experiencing delayed discharge to address this gap in research and to better understand how nursing care can be improved for them. METHODS: Twenty-one individuals participated in this study: eight patient participants experiencing delayed discharge and living with dementia, six family members, and seven nurses. Data collection methods primarily included participant observations, totalling 100 h of observations. Fourteen semi-structured interviews were also conducted with family members and nurses and with one patient participant. Informal conversations were undertaken with patient participants who did not take part in interviews. RESULTS: Thematic analysis resulted in three main themes, encapsulating the patients' experiences: (1) Living and Waiting; (2) Distress and Behaviours; and (3) Looking Beyond the Designation. Findings are discussed in the context of the passive nature of delayed discharge care, the need for person-centred care, and prevailing discourses around the behavioural symptoms of dementia. CONCLUSION: Implications for nursing practice include the need to acknowledge and foster the abilities of people with dementia. The behaviour narrative and labelling prevalent in hospitals must also be challenged. Lastly, nurses need to recognise the significant transition that is the delayed discharge experience, especially for people with dementia. This study advocates for person-centred and inclusive nursing care, where ongoing needs are recognised and addressed, particularly for people with dementia experiencing delayed discharge, who are waiting for home.

Reasons and risk factors for delayed discharge after day-surgery percutaneous nephrolithotomy.

BACKGROUND: Day-surgery percutaneous nephrolithotomy (PCNL) is being developed quickly but some potential factors are affecting the recovery process. This study is aim to analyze the reasons and risk factors for delayed discharge after day-surgery PCNL. METHODS: The data of 205 patients who accepted day-surgery PCNL in our institution between January 2018 and February 2020 were analyzed, retrospectively. Univariate and multivariate logistic regression analysis were used to analyze the risk factors for delayed discharge. Besides, the nomogram prediction model was established by the multivariable logistic regression analysis. RESULTS: The rate of delayed discharge was 14.6%. Independent risk factors for delayed discharge were larger stone burden (odds ratio [OR] = 3.814, P = 0.046), positive urine nitrite (OR = 1.001, P = 0.030), longer duration of surgery (OR = 1.020, P = 0.044), multiple nephrostomy tubes (OR = 4.282, P = 0.008). The five main reasons that caused delayed discharge included psychological reasons, pain, bleeding, urosepsis, and urine leakage. CONCLUSIONS: This study identified some independent risk factors for a hospital length of stay longer than 24 h. Patients with larger renal stones or positive urine nitrite may be at increased risk of delayed discharge after day-surgery PCNL. Reducing surgery time and nephrostomy tubes will help to facilitate recovery.

A qualitative study exploring hospital-based team dynamics in discharge planning for patients experiencing delayed care transitions in Ontario, Canada.

BACKGROUND: In attempt to improve continuity of patient care and reduce length of stay, hospitals have placed an increased focus on reducing delayed discharges through discharge planning. Several benefits and challenges to team-based approaches for discharge planning have been identified. Despite this, professional hierarchies and power dynamics are common challenges experienced by healthcare providers who are trying to work as a team when dealing with delayed discharges. The objective of this study was to explore what was working well with formal care team-based discharge processes, as well as challenges experienced, in order to outline how teams can function to better support transitions for patients experiencing a delayed discharge.  METHODS: We conducted a descriptive qualitative study with hospital-based healthcare providers, managers and organizational leaders who had experience with delayed discharges. Participants were recruited from two diverse health regions in Ontario, Canada. In-depth, semi-structured interviews were conducted in-person, by telephone or teleconference between December 2019 and October 2020. All interviews were recorded and transcribed. A codebook was developed by the research team and applied to all transcripts. Data were analyzed inductively, as well as deductively through directed content analysis. RESULTS: We organized our findings into three main categories - (1) collaboration with physicians makes a difference; (2) leadership should meaningfully engage with frontline providers and (3) partnerships across sectors are critical. Regular physician engagement, as equal members of the team, was recommended to improve consistent communication, relationship building between providers, accessibility, and in-person communication. Participants highlighted the need for a dedicated senior leader who ensured members of the team were treated as equals and advocated for the team. Improved partnerships across sectors included the enhanced integration of community-based providers into discharge planning by placing more focus on collaborative practice, combined discharge planning meetings, and having embedded and physically accessible care coordinators in the hospital. CONCLUSIONS: Team-based approaches for delayed discharge can offer benefits. However, to optimize how teams function in supporting these processes, it is important to consistently collaborate with physicians, ensure senior leadership engage with and seek feedback from frontline providers through co-design, and actively integrate the community sector in discharge planning.

Why does patients' discharge delay after vertebral augmentation? A factor analysis of 1,442 patients.

Objective: Vertebral augmentation techniques are widely used to treat osteoporotic vertebral compression fractures (OVCFs). Superior analgesic effects and shortened bed rest time means patients recover quickly, but prolonged unscheduled hospitalization can increase medical expenses and the risk of bed rest complications. The aim of this study was to investigate the reasons for prolonged hospitalization after vertebral augmentation surgery and to determine the relative risk factors. Methods: A single-center retrospective study was conducted to enroll patients with OVCFs and accepted vertebral augmentation surgery from January 2017 to December 2017. Clinical information was collected from the Hospital Information System (HIS). The criterion of delayed discharge was postoperative hospitalization more than 3 days. Telephone interviews and medical history evaluations were conducted to confirm the exact reason for retention. The risk factors were analyzed by multiple logistic regression. Results: Overall, 1,442 patients were included, and 191 (13.2%) stayed in the hospital for more than 3 days postoperatively. The reasons for delayed discharge were psychological factors (37.2%), residual pain (32.5%), cardiopulmonary complications (15.7%), nonspecific symptoms (8.4%), incision abnormalities (2.6%), thrombosis (2.1%), and postanesthesia reactions (1.6%). The multiple logistic model was significant; age (OR 1.028; 95% CI 1.009-1.046), preoperative stay (OR 1.192; 95% CI 1.095-1.298), operation type (OR 1.494; 95% CI 1.019-2.189), and the number of surgical segments (OR 2.238; 95% CI 1.512-3.312) showed statistical significance. In contrast, gender (P > 0.1) and chronic comorbidities (P > 0.1) were not predictors in this model. Conclusion: Overall, 13.2% of OVCF patients who underwent vertebral augmentation surgery were not discharged within 3 days postoperatively, and several predictors were found. Preoperative communication and comprehensive evaluations are calling for more attention; physicians should adopt an appropriate medical process to enhance rehabilitation in geriatric orthopedics.

Healthcare-Associated Adverse Events in Alternate Level of Care Patients Awaiting Long-Term Care in Hospital.

INTRODUCTION: A growing number of Canadian older adults are designated alternate level of care (ALC) and await placement into long-term care (LTC) while admitted to hospital. This creates infrastructural challenges by using resources allocated for acute care during disproportionately long hospital stays. For ALC patients, hospital environments maladapted to their needs impart risk of healthcare-associated adverse events. METHODS: In this retrospective descriptive study, we examined healthcare-associated adverse events in 156 ALC patients, 65 years old and older, awaiting long-term care while admitted to two hospitals in London, Ontario in 2015-2018. We recorded incidence of infections and antimicrobial days prescribed. We recorded incidence of non-infectious adverse events including delirium, falls, venothrombotic events, and pressure ulcers. We used a restricted cubic spline model to characterize adverse events as a function of length of stay. RESULTS: Patients waited an average of 56 ALC days (ranging from 6 to 333 days) before LTC placement, with seven deaths occurring prior to placement. We recorded 362 total adverse events accrued over 8668 ALC days: 94 infections and 268 non-infectious adverse events. The most common hospital-acquired infections were urinary-tract infections and respiratory infections. The most common non-infectious adverse events were delirium and falls. A total of 620 antimicrobial days were prescribed for infections. CONCLUSIONS: ALC patients incur a meaningful and predictable number of adverse events during their stay in acute care. The incidence of these adverse events should be used to educate stakeholders on risks of ALC stay and to advocate for strategies to minimize ALC days.

'Why are we stuck in hospital?' Understanding delayed hospital discharges for people with learning disabilities and/or autistic people in long-stay hospitals in the UK.

Despite longstanding efforts at de-institutionalisation, around 2000 people with learning disabilities and/or autistic people in England currently live in hospital settings, amidst reports of protracted stays, limited progress towards living more ordinary lives and scandals of abuse and poor care. Yet, there is relatively little research on why people with learning disabilities and/or autistic people are delayed in hospitals, and what exists has significant limitations. In particular, previous studies have rarely talked directly to people with learning disabilities and/or autistic people, their families and frontline staff about their experiences of living or working in such settings, the barriers to discharge and what would help more people to lead chosen lifestyles. This paper presents the findings of a structured literature review conducted between January and March 2021 on delayed discharges of people with learning disabilities in long-stay hospital settings. It investigated: the proportion of people with learning disabilities delayed in long-stay hospital settings, the suggested reasons for these delays and the proposed solutions. The literature reported delays for 11%-80% of inpatients in different settings. The reasons reported are related either to particular characteristics of the person (which we find problematic) or limitations of the system supporting them. However, delays were defined and reported inconsistently, reasons usually lacked depth and detail, and the majority of included studies did not engage directly with the people living in long-stay settings, their families or frontline staff. Without listening to these voices, genuine solutions will be difficult to find.

Predicting Housing Related Delayed Discharge from Mental Health Inpatient Units: A Case Control Study.

The aims of this study were to identify factors that a) predict whether people experience housing related discharge delay (HRDD) from a mental health inpatient unit; and b) predict the length of HRDD for people affected. By identifying the groups most affected by HRDD, clinicians and policy makers can prioritise and address barriers to timely discharge at both an individual and systemic level. A case control study using a detailed medical record review was conducted in one Australian mental health service. Demographic, clinical, contextual and systemic variables were collected for patients with HRDD in one calendar year (n = 55) and a random comparison sample (n = 55). Logistical and multiple regression analyses were conducted to identify variables that predict HRDD and length of HRDD. A model that correctly predicted 92% of HRDD and 78% of non-HRDD cases using five variables was developed. These variables were: diagnosis of schizophrenia or other psychotic disorder, physical comorbidity, having a history of violence or aggressive behaviour, being employed and being involved as a defendant in the justice system. The first three variables increased the likelihood of HRDD, while the second two reduced the likelihood of HRDD. For people who experienced HRDD, the only variable that predicted length of delay was staff reported difficulty finding appropriate support services. This model can be used to rapidly identify patients who might be at risk of HRDD and commence coordinated actions to secure appropriate housing and supports to facilitate timely discharge, thereby addressing a current practice gap. These findings highlight the intersection between health, housing and disability services in the lives of people with serious mental illness, and the need for a whole of government approach to investment and integration to address systemic barriers to suitable housing and supports.

Outcomes of complex discharge planning in older adults with complex needs: a scoping review.

In this scoping review, we aimed to evaluate the effectiveness of integrated multidisciplinary team discharge planning and identify common outcomes among older adults with complex needs, focusing on a safe transition from the hospital to the community. We performed a literature search for relevant articles using seven electronic databases and agreed search terms. Only articles published in English were included. In total, 23,772 articles were identified, with 27 articles meeting the inclusion criteria. A preponderance of patients aged ≥65 years and women was inferred based on population demographics. Initiatives on complex discharge planning were noted across most Western countries. Common outcomes of complex discharge planning were functionality (n = 11) including frailty (n = 4), quality of life (n = 11), and patient-centered factors including psychosocial needs (n = 9). Various outcomes from complex discharge planning initiatives and pathways were explored in this scoping review. None of the selected studies covered all nine domains of outcome assessment. Further research is needed involving follow-up studies after complex discharge planning interventions to assess their true effectiveness or value.

Expanding our understanding of factors impacting delayed hospital discharge: Insights from patients, caregivers, providers and organizational leaders in Ontario, Canada.

INTRODUCTION: The purpose of this paper was to understand the nature of delayed hospital discharge through the lens of a policy framework (ideas, institutions and interests; 3-I framework). MATERIALS AND METHODS: One-to-one in-depth interviews were conducted with 57 participants, including 18 patients, 18 caregivers, 11 providers and 10 organizational leaders across two hospital networks in urban and rural regions of Ontario, Canada. RESULTS: Delayed discharge was a product of spill-over effects (due to rules and eligibility in other health sectors) and variable implementation of policies and guidelines (institutions); competing priorities and tensions among patients, caregivers, providers and organizational leaders (interests); as well as a number of perceived root causes including patient complexity, caregiver burnout, lack of system infrastructure, and an imbalance of system and personal responsibility to support aging adults (ideas). CONCLUSIONS: The 3-I framework allowed us to examine the contributing factors to delayed discharge in a comprehensive way. Based on our findings we suggest that cross-sectoral collaboration and strengthening of relationships among stakeholders is required to address this complex policy problem.

Impact of multimorbidity and frailty on adverse outcomes among older delayed discharge patients: Implications for healthcare policy.

OBJECTIVE: To assess the impacts of multiple chronic conditions (MCC) and frailty on 30-day post-discharge readmission and mortality among older patients with delayed discharge. DATA SOURCE/EXTRACTION: We used a retrospective cohort of older patients in the Discharge Abstract Database (DAD) between 2004 and 2017 in Ontario, Canada. We extracted data on patients aged ≥ 65 who experienced delayed discharge during hospitalization (N = 353,106). STUDY DESIGN: We measured MCC and frailty using the Elixhauser Comorbidity Index (ECI) and the Hospital Frailty Risk Score (HFRS), respectively. We used multinomial logistic regression to model the main and interactive effects of MCC and frailty on the adverse outcomes. PRINCIPAL FINDINGS: After adjusting for sex, discharge destination, urban/rural residency, wait time for alternative care, and socioeconomic status, the coexistence of MCC and high frailty increased the relative risk of 30-day mortality and readmission when compared to the references group, i.e., non-MCC patients with low-to-moderate frailty. CONCLUSIONS: Multimorbidity and frailty each provide unique information about adverse outcomes among older patients with delayed discharge but are most informative when examined in unison. IMPLICATIONS FOR HEALTH POLICY: To minimize the risk of adverse outcomes among older delayed discharge patients, discharge planning must be tailored to their concurrent multimorbidity and frailty status.