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.

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.

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.

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.

Influencing factors for delayed discharge following day surgery: A retrospective case-control study.

AIM: We aimed to identify the risk factors for delayed discharge in a day surgery centre in west China. BACKGROUND: Delayed discharge affected by various factors is a key indicator for healthcare quality of day surgery. However, few studies have focused on this issue in developing countries where the day surgery started much later. DESIGN: A retrospective case-control design. METHOD: A random sample of 169 delayed discharge cases and 514 normal discharge cases was randomly selected from 38,021 day surgery cases from May 2011 to May 2019 in a tertiary teaching hospital in west China. Socio-demographic and clinical characteristics of patients were collected through the hospital electronic database and a chart review. A multivariate logistic regression was conducted to identify the risk factors for delayed discharge. RESULTS: The urban employee basic medical insurance, comorbidity, general anaesthesia, pain, fever, bleeding and metabolic disorder were identified as the risk factors for delayed discharge. Living in the city where the hospital located was a protective factor for delayed discharge. CONCLUSION: Post-operative complications including fever, pain, bleeding and metabolic disorder were the most important risk factors for delayed discharge. The pre-operative prevention, careful monitoring and rapid reactions to post-operative complications may reduce delayed discharge.

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.

Understanding transitional care programs for older adults who experience delayed discharge: a scoping review.

BACKGROUND: Many hospitalized older adults cannot be discharged because they lack the health and social support to meet their post-acute care needs. Transitional care programs (TCPs) are designed to provide short-term and low-intensity restorative care to these older adults experiencing or at risk for delayed discharge. However, little is known about the contextual factors (i.e., patient, staff and environmental characteristics) that may influence the implementation and outcomes of TCPs. This scoping review aims to answer: 1) What are socio-demographic and/or clinical characteristics of older patients served by TCPs?; 2) What are the core components provided by TCPs?; and 3) What patient, caregiver, and health system outcomes have been investigated and what changes in these outcomes have been reported for TCPs? METHODS: The six-step scoping review framework and PRISMA-ScR checklist were followed. Studies were included if they presented models of TCPs and evaluated them in community-dwelling older adults (65+) experiencing or at-risk for delayed discharge. The data synthesis was informed by a framework, consistent with Donabedian's structure-process-outcome model. RESULTS: TCP patients were typically older women with multiple chronic conditions and some cognitive impairment, functionally dependent and living alone. The review identified five core components of TCPs: assessment; care planning and monitoring; treatment; discharge planning; and patient, family and staff education. The main outcomes examined were functional status and discharge destination. The results were discussed with a view to inform policy makers, clinicians and administrators designing and evaluating TCPs as a strategy for addressing delayed hospital discharges. CONCLUSION: TCPs can influence outcomes for older adults, including returning home. TCPs should be designed to incorporate interdisciplinary care teams, proactively admit those at risk of delayed discharge, accommodate persons with cognitive impairment and involve care partners. Additional studies are required to investigate the contributions of TCPs within integrated health care systems.

A qualitative study exploring the lived experiences of deconditioning in hospital in Ontario, Canada.

BACKGROUND: Older adults, especially those with physical and social complexities are at risk of hospital-associated deconditioning. Hospital-associated deconditioning is linked to increased length of stay in hospital, stress, and readmission rates. To date, there is a paucity of research on the experiences and implications of deconditioning in hospital from different perspectives. Therefore, the objectives of this exploratory, descriptive qualitative study were to explore hospital-associated deconditioning from the views of different stakeholders and to develop an understanding of deconditioning from physical, social, and cognitive perspectives. METHODS: Between August 2018 and July 2019, in-depth, semi-structured interviews were conducted with patients 50 years or older, who had a hip fracture or delay in discharge, as well as caregivers, providers, and decision-makers who provided support or impacted care processes for these patients. Participants were recruited from one urban and one rural health region located in Ontario, Canada. All interviews were audio-recorded, transcribed, and analyzed using a constant comparison approach. RESULTS: A total of 80 individuals participated in this study. Participants described insufficient activities in hospital leading to boredom and mental and physical deconditioning. Patients were frustrated with experiencing deconditioning and their decline in function seemed to impact their sense of self and identity. Deconditioning had substantive impacts on patients' ability to leave hospital to their next point of care. Providers and decision-makers understood the potential for deconditioning but felt constrained by factors beyond their control. Factors that appeared to impact deconditioning included the hospital's built environment and social capital resources (e.g., family, roommates, volunteers, staff). CONCLUSIONS: Participants described a substantial lack of physical, cognitive, and social activities, which led to deconditioning. Recommendations to address deconditioning include: (1) measuring physical/psychological function and well-being throughout hospitalization; (2) redesigning hospital environments (e.g., create social spaces); and (3) increasing access to rehabilitation during acute hospital stays, while patients wait for the next point-of-care.

Differential characteristics of cases of patients diagnosed with pneumonia and delayed discharge for non-clinical reasons in Northern Spain.

BACKGROUND: Delayed discharge for non-clinical reasons is related to a failure to plan for discharge and a lack of availability of intermediate care resources as an alternative to acute hospitalisation. The literature concerning the relationship with pneumonia is scarce. At present, the coronavirus pandemic is a new cause of complicated pneumonias that can further affect the functionality of the most fragile patients. OBJECTIVE: The aim of this study was to understand what characteristics are typical of patients affected by pneumonia, compared with other cases of delayed discharge. METHODS: A cross-sectional study was conducted. All cases of delayed discharge were studied at the hospitalisation units of a general university hospital in Northern Spain from 2007 to 2015. In order to compare the differential characteristics of the groups of patients with pneumonia with the total Student's T-test and Pearson's chi-square test (χ²) were used. RESULTS: 170 patients were identified with a diagnosis of pneumonia and delayed discharge for non-clinical reasons during the study period. These cases accumulated a total of 4790 days of total stay, of which 1294 days corresponded to the prolonged stay. The mean age of the patients was 80.23 years. The mean DRG weight was 2.28 [SD 0.579], and 14.12% of patients with pneumonia and delayed discharge died. So, patients with pneumonia were older (P = .001), less complex (P = .001) and suffered greater deaths compared with the remaining patients (P = .001). CONCLUSIONS: The sum of these factors has to do with comorbidities and complications associated with ageing and the characteristics of conditions such as aspiration pneumonia.

Identifying factors predicting prolonged rehabilitation after simultaneous bilateral total knee arthroplasty: a retrospective observational study.

BACKGROUND: Rehabilitation is an effective procedure for promoting functional recovery after simultaneous bilateral total knee arthroplasty (TKA); however, it has been cited as a significant economic burden of medical care. We hypothesized that preoperative factors, including age, sex, body mass index, living alone, the knee society function score (KSS), the American society of anesthesiologists (ASA) class, hemoglobin (Hb), albumin level, mean range of motion, and the Kellgren-Lawrence grade, would predict prolonged rehabilitation utilization. METHODS: In total, 191 patients undergoing simultaneous bilateral TKA in a single hospital were enrolled. The successful compliance group included patients who completed their rehabilitation program and could return to their residence within 3 weeks after surgery (n = 132), whereas the delayed group included the remaining patients (n = 59). Logistic regression analysis was performed using preoperative factors. A prediction scoring system was created using the regression coefficients from the logistic regression model. RESULTS: Logistic regression analysis revealed that age (ß = - 0.0870; P <  0.01) and Hb (ß = 0.34; P <  0.05) were significantly associated with prolonged rehabilitation programs, whereas body mass index, living alone, KSS score, and ASA class were not significantly associated with successful completion of rehabilitation programs; however, these factors contributed to the prediction scoring formula, which was defined as follows: [Formula: see text] The C-statistic for the scoring system was 0.748 (95% confidence interval, 0.672-0.824). The positive and negative likelihood ratios were 2.228 (95% CI, 1.256-3.950) and 0.386 (95% CI, 0.263-0.566), respectively. These results showed an increase of 15-20% and a decrease of 20-25% in the risk of prolonged rehabilitation. The optimal cutoff point for balancing sensitivity and specificity was 3.5, with 66.6% sensitivity and 78.0% specificity. CONCLUSIONS: Older age and lower preoperative Hb were significantly associated with prolonged rehabilitation programs. We defined a new scoring formula using preoperative patient factors to predict prolonged rehabilitation utilization in patients undergoing simultaneous bilateral TKA.

A descriptive study on reasons for prolonged hospital stay in a tertiary hospital in Singapore.

BACKGROUND: Our health care is facing with the challenges of bed crunch and increasing number of patients with prolonged hospital stay. AIMS: This study aimed to determine factors contributing to the prolonged hospital stay in a tertiary hospital in Singapore. METHODS: A random sample of 600 medical records of patients' staying in hospital for more than 21 days was retrieved. The reasons for their prolonged hospital stay were categorized into 'medically unfit' and 'medically fit'. RESULTS: The top three reasons for prolonged hospital stay among the 'medically unfit' group were ongoing medical treatment, surgical interventions and receiving intravenous chemotherapy/radiotherapy. The top three reasons for the 'medically fit' group were waiting for community hospital bed, waiting for a new caregiver and undecided on discharge disposition. CONCLUSION: The results inform health care stakeholders in planning measures to minimize the incidence of unnecessary prolonged hospitalization for optimal health care resource utilization. IMPLICATIONS OF NURSING MANAGEMENT: Ineffective discharge planning can lead to serious adverse outcomes such as hospital readmission and prolonged hospital stay. Patient navigators have a crucial role in facilitating safe, smooth and timely discharge of patients from acute care hospital to community. Understanding the reasons behind extended hospitalization is essential in order to better provide support.

Risk factors associated with delayed discharge following robotic assisted surgery for gynecologic malignancy.

BACKGROUND: The risk factors for extended length of stay (LOS) have not been examined in a cohort of patients with complex social and medical barriers who undergo robotic assisted (RA) surgery for gynecologic malignancies. We sought to identify those patients with a LOS > 24 h after robotic surgery and the risk factors associated with delayed discharge. Then we aimed to develop a predictive model for clinical care and identify modifiable pre-operative risk factors. METHODS: After IRB approval, data was abstracted from medical records of all patients with a gynecologic malignancy who underwent a RA laparoscopic surgery from 2010 to 2015. Univariable and multivariable logistic regression was performed to identify independent risk factors associated with delayed discharge defined as LOS > 24 h. A multi-variable logistic regression model was performed using a stepwise backward selection for the final prediction model. All testing was two-sided and a p-value < 0.05 was considered statistically significant. RESULTS: Of the 406 eligible and evaluable patients, 194 (48%) had a LOS > 24 h. Age ≥ 60 years, a higher usage of narcotic medication, a longer surgical time, and a larger estimated blood loss were all associated with LOS > 24 h (p < 0.05). Many of these women had a social work consultation and went home with home care services despite no surgical or post-operative complications. Our prediction model has the potential to correctly classified 75% of the patients discharged within 24 h. CONCLUSIONS: The development of a pre-hospitalization risk stratification and anticipating the possible need for home care services pre-operatively shows promise as a strategy to decrease LOS in patients classified as high-risk. These findings warrant prospective validation through the use of this prediction model in our institution.

Epicardial pacing wires after cardiac surgery: an Irish cross-sectional study.

BACKGROUND: Temporary epicardial pacing wires are inserted after cardiac surgery. However, there are no international guidelines on which to base best practice regarding wire insertion or removal. METHODS: Data were collected on patients following cardiopulmonary bypass and analysed in terms of use, duration of use and complications of pacing wires after surgery. RESULTS: Wires were inserted in 164 of the 167 patients. Most (74%) did not require pacing. Patients were categorised into those who had aortic valve replacement (AVR) (n=42) and those who did not (n=122). Of the AVR group, 26% (n=11) were pacemaker dependent after surgery and 10% (n=4) required permanent pacemakers. Most pacing wires were removed by day 4. The only noted complication was delayed discharge. CONCLUSION: Unused pacing wires are normally removed on day 4, but for 77 (47%) of patients they remained in place longer. Forty patients (24%) had delayed wire removal because of a policy of wire removal during business hours only. Of these 40 patients, 27 (17% of the 77 with delayed removal) had delayed discharge as a result of our wire removal policy.

Risk factors, costs and complications of delayed hospital discharge from internal medicine wards at a Canadian academic medical centre: retrospective cohort study.

BACKGROUND: Hospitalized patients are designated alternate level of care (ALC) when they no longer require hospitalization but discharge is delayed while they await alternate disposition or living arrangements. We assessed hospital costs and complications for general internal medicine (GIM) inpatients who had delayed discharge. In addition, we developed a clinical prediction rule to identify patients at risk for delayed discharge. METHODS: We conducted a retrospective cohort study of consecutive GIM patients admitted between 1 January 2015 and 1 January 2016 at a large tertiary care hospital in Canada. We compared hospital costs and complications between ALC and non-ALC patients. We derived a clinical prediction rule for ALC designation using a logistic regression model and validated its diagnostic properties. RESULTS: Of 4311 GIM admissions, 255 (6%) patients were designated ALC. Compared to non-ALC patients, ALC patients had longer median length of stay (30.85 vs. 3.95 days p < 0.0001), higher median hospital costs ($22,459 vs. $5003 p < 0.0001) and more complications in hospital (25.5% vs. 5.3% p < 0.0001) especially nosocomial infections (14.1% vs. 1.9% p < 0.0001). Sensitivity analyses using propensity score and pair matching yielded similar results. In a derivation cohort, seven significant risk factors for ALC were identified including age > =80 years, female sex, dementia, diabetes with complications as well as referrals to physiotherapy, occupational therapy and speech language pathology. A clinical prediction rule that assigned each of these predictors 1 point had likelihood ratios for ALC designation of 0.07, 0.25, 0.66, 1.48, 6.07, 17.13 and 21.85 for patients with 0, 1, 2, 3, 4, 5, and 6 points respectively in the validation cohort. CONCLUSIONS: Delayed discharge is associated with higher hospital costs and complication rates especially nosocomial infections. A clinical prediction rule can identify patients at risk for delayed discharge.

Reasons and Risk Factors for Delayed Discharge After Total Knee Arthroplasty Using an Opioid-Sparing Discharge Protocol.

BACKGROUND: In this study, we aimed to assess the length of hospital stay after total knee arthroplasty in a European healthcare setting. We also aimed to investigate risk factors and reasons for delayed discharge when using an opioid-sparing fast-track protocol. METHODS: From our institutional database, we retrospectively identified all primary elective unilateral total knee arthroplasties performed during January to December 2015. Both patient-related and surgery-related variables were collected from our databases. Risk factors were analyzed using multivariable logistic regression analysis. RESULTS: The median length of stay (LOS) was 3 days. Independent risk factors for delayed discharge were higher age, higher American Society of Anesthesiologists score, general anesthesia, surgery performed toward the end of the week, longer duration of surgery, longer stay in the post-anesthesia care unit, and shorter preoperative walking distance. The main reasons for delayed discharge were delayed functional recovery and pain. CONCLUSION: This study identified several independent risk factors for an LOS longer than 3 days. These risk factors add to the current knowledge on which patients have an increased risk of prolonged LOS, and which patients should be targeted when striving to further reduce the LOS.

Clinical Predictors of Delayed Discharges in Inpatient Mental Health Settings Across Ontario.

Delayed discharges constitute an ongoing issue in psychiatric facilities. This study examined clinical predictors of 30-day delayed discharges in all designated inpatient mental health units within Ontario, Canada. Data for 76,184 inpatient episodes were obtained from 68 psychiatric facilities between 2011 and 2013. Risk factors for delayed discharges were analyzed using multivariate logistic regression. Indicators of functional, social, and cognitive impairment positively predicted delayed discharges, while symptoms of mental illness were inversely related. Policy makers and mental health care practitioners may utilize early predictors of delayed discharges to introduce treatment interventions and policies that reduce the risk of delays in mental health settings.

Impact and experiences of delayed discharge: A mixed-studies systematic review.

BACKGROUND: The impact of delayed discharge on patients, health-care staff and hospital costs has been incompletely characterized. AIM: To systematically review experiences of delay from the perspectives of patients, health professionals and hospitals, and its impact on patients' outcomes and costs. METHODS: Four of the main biomedical databases were searched for the period 2000-2016 (February). Quantitative, qualitative and health economic studies conducted in OECD countries were included. RESULTS: Thirty-seven papers reporting data on 35 studies were identified: 10 quantitative, 8 qualitative and 19 exploring costs. Seven of ten quantitative studies were at moderate/low methodological quality; 6 qualitative studies were deemed reliable; and the 19 studies on costs were of moderate quality. Delayed discharge was associated with mortality, infections, depression, reductions in patients' mobility and their daily activities. The qualitative studies highlighted the pressure to reduce discharge delays on staff stress and interprofessional relationships, with implications for patient care and well-being. Extra bed-days could account for up to 30.7% of total costs and cause cancellations of elective operations, treatment delay and repercussions for subsequent services, especially for elderly patients. CONCLUSIONS: The poor quality of the majority of the research means that implications for practice should be cautiously made. However, the results suggest that the adverse effects of delayed discharge are both direct (through increased opportunities for patients to acquire avoidable ill health) and indirect, secondary to the pressures placed on staff. These findings provide impetus to take a more holistic perspective to addressing delayed discharge.

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.

The impact of social isolation on delayed hospital discharges of older hip fracture patients and associated costs.

UNLABELLED: Delayed discharges represent an inefficient use of acute hospital beds. Social isolation and referral to a public-funded rehabilitation unit were significant predictors of delayed discharges while admission from an institution was a protective factor for older hip fracture patients. Preventing delays could save between 11.2 and 30.7 % of total hospital costs for this patient group. INTRODUCTION: Delayed discharges of older patients from acute care hospitals are a major challenge for administrative, humanitarian, and economic reasons. At the same time, older people are particularly vulnerable to social isolation which has a detrimental effect on their health and well-being with cost implications for health and social care services. The purpose of the present study was to determine the impact and costs of social isolation on delayed hospital discharge. METHODS: A prospective study of 278 consecutive patients aged 75 or older with hip fracture admitted, as an emergency, to the Orthopaedics Department of Hospital Universitário de Santa Maria, Portugal, was conducted. A logistic regression model was used to examine the impact of relevant covariates on delayed discharges, and a negative binomial regression model was used to examine the main drivers of days of delayed discharges. Costs of delayed discharges were estimated using unit costs from national databases. RESULTS: Mean age at admission was 85.5 years and mean length of stay was 13.1 days per patient. Sixty-two (22.3 %) patients had delayed discharges, resulting in 419 bed days lost (11.5 % of the total length of stay). Being isolated or at a high risk of social isolation, measured with the Lubben social network scale, was significantly associated with delayed discharges (odds ratio (OR) 3.5) as was being referred to a public-funded rehabilitation unit (OR 7.6). These two variables also increased the number of days of delayed discharges (2.6 and 4.9 extra days, respectively, holding all else constant). Patients who were admitted from an institution were less likely to have delayed discharges (OR 0.2) with 5.5 fewer days of delay. Total costs of delayed discharges were between 11.2 and 30.7 % of total costs (€2352 and €9317 per patient with delayed discharge) conditional on whether waiting costs for placement in public-funded rehabilitation unit were included. CONCLUSION: High risk of social isolation, social isolation and referral to public-funded rehabilitation units increase delays in patients' discharges from acute care hospitals.