Prevalence of Depression, Anxiety and Stress Among Patients Discharged from Critical Care Units

Introduction

The widespread use of advanced technology and invasive intervention creates many psychological problems for hospitalized patients; it is especially common in critical care units.

Methods

This cross-sectional study was conducted on 310 patients hospitalized in critical care units, using a non-probability sampling method. Data were collected using depression, anxiety, and stress scale (DASS-21) one month after discharge from the hospital. Data analysis was performed using descriptive and inferential statistics.

Results

181 males and 129 females with a mean age (SD) of 55.11(1.62) years were enrolled in the study. The prevalence of depression, anxiety and stress were 46.5, 53.6 and 57.8% respectively, and the depression, anxiety and stress mean (SD) scores were 16.15(1.40), 18.57(1.46), 19.69(1.48), respectively. A statistically significant association was reported between depression, anxiety and stress with an increase in age, the number of children, occupation, education, length of hospital stay, use of mechanical ventilation, type of the critical care unit, and drug abuse.

Conclusion

The prevalence of depression, anxiety and stress in patients discharged from critical care units was high. Therefore, crucial decisions should be made to reduce depression, anxiety and stress in patients discharged from critical care units by educational strategies, identifying vulnerable patients and their preparation before invasive diagnostic-treatment procedures.

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.

Which Road to Recovery?: Factors Influencing Postacute Stroke Discharge Destinations: A Delphi Study

BACKGROUND AND PURPOSE

The criteria for determining the level of postacute care for patients with stroke are variable and inconsistent. The purpose of this study was to identify key factors influencing the selection of postacute level of care for these patients.

METHODS

We used a collaborative 4-round Delphi process to achieve a refined list of factors influencing postacute level of care selection. Our Delphi panel of experts consisted of 32 panelists including physicians, physical therapists, occupational therapists, speech-language pathologists, nurses, stroke survivors, administrators, policy experts, and individuals associated with third-party insurance companies.

RESULTS

In round 1, 207 factors were proposed, with subsequent discussion resulting in consolidation into 15 factors for consideration. In round 2, 15 factors were ranked with consensus on 10 factors; in round 3,10 factors were ranked with consensus on 9 factors. In round 4, the final round, 9 factors were rated with Likert scores ranging from 5 (most important) to 1(not important). The percentage of panelists who provided a rating of 4 or above were as follows: likelihood to benefit from an active rehabilitation program (97%), need for clinicians with specialized rehabilitation skills (94%), need for active and ongoing medical management and monitoring (84%), ability to tolerate an active rehabilitation program (74%), need for caregiver training to return to the community (48%), family/caregiver support (39%), likelihood to return to community/home (39%), ability to return to physical home environment (32%), and premorbid dementia (16%).

CONCLUSIONS

This study provides an expert, consensus-based set of key factors to be considered when determining where stroke patients are discharged for postacute care. These factors may be useful in developing a decision support tool for use in clinical settings.

Enhancing palliative care occupancy and efficiency: a quality improvement project that uses a healthcare pathway for service integration and policy development

This article described our experience in implementing a quality improvement project to overcome the bed overcapacity problem at a comprehensive cancer centre in a tertiary care centre. We formed a multidisciplinary team including a representative from patient and family support (six members), hospice care and home care services (four members), multidisciplinary team development (four members) and the national lead. The primary responsibility of the formulated team was implementing measures to optimise and manage patient flow. We used the plan-do-study-act cycle to engage all stakeholders from all service layers, test some interventions in simplified pilots and develop a more detailed plan and business case for further implementation and roll-out, which was used as a problem-solving approach in our project for refining a process or implementing changes. As a result, we observed a significant reduction in bed capacity from 35% in 2017 to 13.8% in 2018. While the original length of stay (LOS) was 28 days, the average LOS was 19 days in 2017 (including the time before and after the intervention), 10.8 days in 2018 (after the intervention was implemented), 10.1 days in 2019 and 16 days in 2020. The increase in 2020 parameters was caused by the COVID-19 pandemic, since many patients did not enrol in our new care model. Using a systematic care delivery approach by a multidisciplinary team improves significantly reduced bed occupancy and reduces LOS for palliative care patients.

Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists

Unexpected ICU readmission is associated with longer length of stay and increased mortality. To prevent ICU readmission and death after ICU discharge, our team of intensivists and data scientists aimed to use AmsterdamUMCdb to develop an explainable machine learning–based real-time bedside decision support tool.

Cross-Cultural Adaptation and Psychometrics Evaluation of the Arabic Version of the Patient-Readiness for Hospital Discharge Scale

BACKGROUND AND PURPOSE

The Patient Readiness for Hospital Discharge Scale (PT-RHDS) is an outcome measure of discharge care processes. The purpose of the study was to test a cross-cultural adaptation from English into Arabic.

METHODS

The Rand Corporation cross-cultural adaptation method and psychometric analysis of data from 1844 adult surgical inpatients in two Saudi Arabia hospitals.

RESULTS

Reliability of the Arabic version (α = .75) was adequate. Confirmatory factor analysis supported construct validity. No differences in PT-RHDS scores were detected in comparisons for marital status, sex, age, or length of stay. The Arabic PT-RHDS did not predict readmissions.

CONCLUSIONS

The psychometric properties of the Arabic PT- RHDS provide preliminary evidence for its use in assessing surgical patients' perception of readiness for discharge in Arabic-speaking countries.

Delayed Discharge for Non-Clinical Reasons in Hip Procedures: Differential Characteristics and Opportunity Cost

Delayed discharge for non-clinical reasons shares common characteristics with hip procedures. We sought to quantify the length of stay and related costs of hip procedures and compare these with other cases of delayed discharge. A cross-sectional study was conducted at a public hospital in Spain (2007–2015) including 306 patients with 6945 days of total stay and 2178 days of prolonged stay. The mean appropriate stay was 15.58 days, and the mean prolonged stay was 7.12 days. The cost of a prolonged stay was €641,002.09. The opportunity cost according to the value of the hospital complexity unit was €922,997.82. The mean diagnostic-related groups’ weight was 3.40. Up to 85.29% of patients resided in an urban area near the hospital (p = 0.001), and 83.33% were referred to a long-stay facility for functional recovery (p = 0.001). The proportion of patients with hip procedures and delayed discharge was lower than previous reports; however, their length of stay was longer. The cost of prolonged stay could account for 21.17% of the total. Compared with the remaining cases of delayed discharge, the appropriate stay was shorter in hip procedures, with a profile of older women living in an urban area close to the hospital and referred to a long-stay center for functional recovery.

Impact of providing patient information leaflets prior to hospital discharge to patients with acute kidney injury: a quality improvement project

Acute kidney injury (AKI) is a common health issue. It is a sudden episode of kidney failure that is almost entirely associated with episodes of acute illness. AKI is common with as many as 20% of patients arriving at hospital having an AKI, with up to 15% of patients developing AKI in a postoperative period. Patients who have an episode of AKI are more likely to have a further episode of AKI and require readmission to hospital. This project aimed to provide patients with AKI education for self-care and management, with the hope of reducing AKI readmissions.

Using quality improvement methodology, the AKI patient discharge and readmission pathway was reviewed, and information about AKI was given to patients. This was in the form of verbal information and a patient information leaflet. This information was provided on discharge from acute care.

Baseline data were collected that showed more than 80% of patients reported that they were not given information about AKI prior to their discharge from hospital. Due to higher readmission rates, the focus of this improvement project was on acute medical wards. Following implementation, there was a sustained reduction in AKI patient readmission rates. This reduction led to a significant reduction of inpatient bed days and a shorter length of stay for those patients who were readmitted. Quality improvement methods have facilitated a successful reduction in acute AKI readmission to hospital.

Examining the course of transitions from hospital to home-based palliative care: A mixed methods study

BACKGROUND

Hospital-to-home transitions in palliative care are fraught with challenges. To assess transitions researchers have used patient reported outcome measures and qualitative data to give unique insights into a phenomenon. Few measures examine care setting transitions in palliative care, yet domains identified in other populations are likely relevant for patients receiving palliative care.

AIM

Gain insight into how patients experience three domains, discharge readiness, transition quality, and discharge-coping, during hospital-to-home transitions.

DESIGN

Longitudinal, convergent parallel mixed methods study design with two data collection visits: in-hospital before and 3-4 weeks after discharge. Participants completed scales assessing discharge readiness, transition quality, and post discharge-coping. A qualitative interview was conducted at both visits. Data were analyzed separately and integrated using a merged transformative methodology, allowing us to compare and contrast the data.

SETTING AND PARTICIPANTS

Study was set in two tertiary hospitals in Toronto, Canada. Adult inpatients (n = 25) and their caregivers (n = 14) were eligible if they received a palliative care consultation and transitioned to home-based palliative care.

RESULTS

Results were organized aligning with the scales; finding low discharge readiness (5.8; IQR: 1.9), moderate transition quality (66.7; IQR: 33.33), and poor discharge-coping (5.0; IQR: 2.6), respectively. Positive transitions involved feeling well supported, managing medications, feeling well, and having healthcare needs met. Challenges in transitions were feeling unwell, confusion over medications, unclear healthcare responsibilities, and emotional distress.

CONCLUSIONS

We identified aspects of these three domains that may be targeted to improve transitions through intervention development. Identified discrepancies between the data types should be considered for future research exploration.

Australian perspective on Fourth Consensus Guidelines for the management of postoperative nausea and vomiting

This is a summary document that provides an Australian perspective on the Fourth Consensus Guidelines for the management of postoperative nausea and vomiting. The Australian Society of Anaesthetists has endorsed the Fourth Consensus Guidelines for the management of postoperative nausea and vomiting and has written this document with permission from the authors and the American Society for Enhanced Recovery to provide an Australia-specific summary.

Potential Excess Intravenous Antibiotic Therapy in the Setting of Gram-Negative Bacteremia

(1) Background: Excessive intravenous therapy (EIV) is associated with negative consequences, but guidelines are unclear about when switching to oral therapy is appropriate. (2) Methods: This cohort included patients aged ≥18 years receiving ≥48 h of antimicrobial therapy for bacteremia due to Escherichia coli, Pseudomonas aeruginosa, Enterobacter, Klebsiella, Acinetobacter, or Stenotrophomonas maltophilia from 1/01/2008-8/31/2011. Patients with a polymicrobial infection or recurrent bacteremia were excluded. Potential EIV (PEIV) was defined as days of intravenous antibiotic therapy beyond having a normal WBC count for 24 h and being afebrile for 48 h until discharge or death. (3) Results: Sixty-nine percent of patients had PEIV. Patients who received PEIV were more likely to receive intravenous therapy until discharge (46 vs. 16%, p < 0.001). Receipt of PEIV was associated with a longer mean time to receiving oral antimicrobials (8.7 vs. 3 days, p < 0.001). The only factors that impacted EIV days in the multivariable linear regression model were the source of infection (urinary tract) (coefficient -1.54, 95%CI -2.82 to -0.26) and Pitt bacteremia score (coefficient 0.51, 95%CI 0.10 to 0.92). (4) Conclusions: PEIV is common in inpatients with Gram-negative bacteremia. Clinicians should look to avoid PEIV in the inpatient setting.

Trends in Use and Outcomes of Same-Day Discharge Following Elective Percutaneous Coronary Intervention

OBJECTIVES

The aims of this study were to describe trends and hospital variation in same-day discharge following elective percutaneous coronary intervention (PCI) and to evaluate the association between trends in same-day discharge and patient outcomes.

BACKGROUND

Insights on contemporary use of same-day discharge following elective PCI are limited.

METHODS

In a sequential cross-sectional analysis of 819,091 patients undergoing elective PCI at 1,716 hospitals in the National Cardiovascular Data Registry CathPCI Registry from July 1, 2009, to December 31, 2017, overall and hospital-level trends in same-day discharge were assessed. Among the 212,369 patients who linked to Centers for Medicare and Medicaid Services data, the association between same-day discharge and 30-day mortality and rehospitalization was assessed.

RESULTS

A total of 114,461 patients (14.0%) were discharged the same day as PCI. The proportion of patients with same-day discharge increased from 4.5% in the third quarter of 2009 to 28.6% in the fourth quarter of 2017. From 2009 to 2017, the rate of same-day discharge increased from 4.3% to 19.5% for femoral-access PCI and from 9.9% to 39.7% for radial-access PCI. Hospital-level variation in the use of same-day discharge persisted throughout (median odds ratio adjusted for year and radial access: 4.15). Risk-adjusted 30-day mortality did not change over time, while risk-adjusted rehospitalization decreased over time and more quickly for same-day discharge (P for interaction <0.001).

CONCLUSIONS

In the past decade, a large increase in the use of same-day discharge following elective PCI was not associated with worse 30-day mortality or rehospitalization. Hospital-level variation in same-day discharge may represent an opportunity to reduce costs without compromising patient outcomes.

Older patient and family discharge medication communication: A mixed-methods study

RATIONALE, AIMS, AND OBJECTIVES

Medication discrepancies place patients discharged from hospital at risk of adverse medication events. Patient and family participation in medication communication may improve medication safety. This study aimed to examine older medical patient and family participation in discharge medication communication.

METHODS

Two-phased mixed-methods study. Data were collected from July 2018 to May 2019. Phase 1 comprised observations and a questionnaire of 30 patients pre-hospital discharge. Phase 2 involved telephone interviews with 11 patients and family members post-hospital discharge. Phase 1 analysis included descriptive statistics and deductive content analysis. Inductive content analysis was used in Phase 2. Phase 1 and 2 findings were integrated.

RESULTS

For Phase 1, observational data were deductively coded against the "continuum of patient participation"; information-giving was the most frequent level of participation observed on the continuum, followed by information-seeking, shared decision making, non-involved, and finally autonomous decision making. For descriptive statistics, written communication tools, noise, and interruptions were frequently observed during medication communication. In Phase 2, three categories were found about how patients and families participate, and the factors influencing their participation: (a) obtaining comprehensive medication information; (b) preferred approaches for receiving information; and (c) speaking about medications in hospital. Integrated findings showed that written communication tools and routine hospital tasks may promote, while lack of family presence and environmental factors may hinder medication communication. Patients' and families' role in medication communication ranged from asking questions to influencing decisions, and was enhanced by health care professionals' patient-centred communication.

CONCLUSIONS

More active patient and family participation could be achieved by encouraging them to identify medication-related problems. To create a climate for patient and family participation, health care professionals should use written communication tools, capitalize on participation opportunities during routine hospital tasks, and use patient-centred communication.

Discharge Plan to Promote Patient Safety and Shared Decision Making by a Multidisciplinary Team of Healthcare Professionals in a Respiratory Unit

Patients with chronic obstructive pulmonary disease (COPD) often require frequent hospitalization due to worsening symptoms. Preventing prolonged hospital stays and readmission becomes a challenge for healthcare professionals treating patients with COPD. Although the integration of health and social care supports greater collaboration and enhanced patient care, organizational structure and poor leadership may hinder the implementation of patient-oriented goals. This paper presents a case of a 64-year-old chronic smoker with severe COPD who was to be discharged on long-term oxygen therapy (LTOT). It also highlights the healthcare decisions made to ensure the patient's safety at home and further provides a long-lasting solution to the existing medical and social needs. The goal was accomplished through a discharge plan that reflects multidisciplinary working, efficient leadership, and change management using Havelock's theory. While COPD is characterized by frequent exacerbation and hospital readmission, it was emphasized that most failed discharges could be attributed to bureaucratic organizational workflow which might not be in the patient's best interest. It was further demonstrated that healthcare professionals are likely to miss the window of opportunity to apply innovative and long-lasting solutions to the patient's health condition in an attempt to remedy the immediate symptoms of COPD.

The effect of discharge planning on length of stay and readmission rates of older adults in acute hospitals: A systematic review and meta-analysis of systematic reviews

AIM

To examine the effectiveness of discharge planning on length of stay and readmission rates among older adults in acute hospitals.

BACKGROUND

Discharge planning takes place in all acute hospital settings in many forms. However, it is unclear how it contributes to reducing patient length of stay in hospital and readmission rates.

METHODS

Seven systematic reviews were identified and examined. All of the systematic reviews explored the impact of discharge planning on length of stay and readmission rates.

RESULTS

A limited meta-analysis of the results in relation to length of stay indicates positive finding for discharge planning as an intervention (MD = -0.71(95% CI -1.05,-0.37; p = .0001)). However, further analysis of the broader findings in relation to length of stay indicates inconclusive or mixed results. In relation to readmission rates both meta-analysis and narrative analysis point to a reduced risk for older people where discharge planning has taken place (RR = 0.78 (95% CI: 0.72, 0.84; p = .00001)). The ability to synthesize results however is severely hampered by the diversity of approaches to research in this area.

IMPLICATIONS FOR NURSING MANAGEMENT

It is unclear what impact discharge planning has on length of stay of older people. Indeed, while nurse mangers will be interested in gauging this impact on throughput and patient flow, it is questionable if length of stay is the correct outcome to measure when studying discharge planning as good discharge planning may increase length of stay. Readmission rates may be a more appropriate outcome measure but standardization of approach needs to be considered in this regard. This would assist nurse managers in assessing the impact of discharge planning processes.

Accuracy of Clinicians' Ability to Predict the Need for Intensive Care Unit Readmission

Rationale: Determining when an intensive care unit (ICU) patient is ready for discharge to the ward is a complex daily challenge for any ICU care team. Patients who experience unplanned readmissions to the ICU have increased mortality, length of stay, and cost compared with those not readmitted during their hospital stay. The accuracy of clinician prediction for ICU readmission is unknown.Objectives: To determine the accuracy of ICU physicians and nurses for predicting ICU readmissionsMethods: We conducted a prospective study in the medical ICU of an academic hospital from October 2015 to September 2017. After daily rounding for patients being transferred to the ward, ICU clinicians (nurses, residents, fellows, and attendings) were asked to report the likelihood of readmission within 48 hours (using a 1-10 scale, with 10 being "extremely likely"). The accuracy of the clinician prediction score (1-10) was assessed for all clinicians and by clinician type using sensitivity, specificity, and area under the curve (AUC) for the receiver operating characteristic curve for predicting the primary outcome, which was ICU readmission within 48 hours of ICU discharge.Results: A total of 2,833 surveys was collected for 938 ICU-to-ward transfers, of which 40 (4%) were readmitted to the ICU within 48 hours of transfer. The median clinician likelihood of readmission score was 3 (interquartile range, 2-4). When physician and nurse likelihood scores were combined, the median clinician likelihood score had an AUC of 0.70 (95% confidence interval [CI], 0.62-0.78) for predicting ICU readmission within 48 hours. Nurses were significantly more accurate than interns at predicting 48-hour ICU readmission (AUC, 0.73 [95% CI, 0.64-0.82] vs. AUC, 0.60 [95% CI, 0.49-0.71]; P = 0.03). All other pairwise comparisons were not significantly different for predicting ICU readmission within 48 hours (P > 0.05 for all comparisons).Conclusions: We found that all clinicians surveyed in our ICU, regardless of the level of experience or clinician type, had only fair accuracy for predicting ICU readmission. Further research is needed to determine if clinical decision support tools would provide prognostic value above and beyond clinical judgment for determining who is ready for ICU discharge.

Central Triage of Acute Stroke Patients Across a Distributive Stroke Network Is Safe and Reduces Transfer Denials

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Does testing for sleep-disordered breathing pre-discharge versus post-discharge result in different treatment outcomes?

STUDY OBJECTIVES

Treatment of sleep-disordered breathing (SDB) may improve health related outcomes post-discharge. However timely definitive sleep testing and provision of ongoing therapy has been a challenge. Little is known about how the time of testing-during hospitalization vs. after discharge-affects important outcomes such as treatment adherence.

METHODS

We conducted a 10-year retrospective study of hospitalized adults who received an inpatient sleep medicine consultation for SDB and subsequent sleep testing. We divided them into inpatient and outpatient sleep testing cohorts and studied their clinical characteristics, follow-up and PAP adherence, and hospital readmission.

RESULTS

Of 485 patients, 226 (47%) underwent inpatient sleep testing and 259 (53%) had outpatient sleep testing. The median age was 68 years old (IQR=57-78), and 29.6% were females. The inpatient cohort had a higher Charlson Comorbidity Index (CCI) (4 [3-6] vs 3[2-5], p=<0.0004). A higher CCI (HR=1.14, 95%CI:1.03-1.25, p=0.001), BMI (HR=1.03, 95%CI:1.0-1.05, p=0.008) and stroke (HR=2.22, 95%CI:1.0-4.9, p=0.049) were associated with inpatient sleep testing. The inpatient cohort kept fewer follow-up appointments (39.90% vs 50.62%, p=0.03) however PAP adherence was high among those keeping follow-up appointments (88.9% [inpatient] vs 85.71% [outpatient], p=0.55). The inpatient group had an increased risk for death (HR: 1.82 95%CI 1.28-2.59, p=<0.001) but readmission rates did not differ.

CONCLUSIONS

Medically complex patient were more likely to receive inpatient sleep testing but less likely to keep follow-up, which could impact adherence and effectiveness of therapy. Novel therapeutic interventions are needed to increase sleep medicine follow-up post-discharge which may result in improvement in health outcomes in hospitalized patients with SDB.

A retrospective analysis of discharge summaries from a tertiary care hospital medical oncology unit: To assess compliance with documentation of recommended discharge summary components

Background

Discharge summaries are essential for health transition between inpatient hospital teams and outpatient general practices. The patient's outcome is dependent on the quality and timeliness of discharge summaries.

Aim

A retrospective analysis was carried out to assess the compliance with recommended documentation of 697 electronic discharge summaries (eDSs) of oncology inpatients discharged in 2018 from the Canberra Hospital according to the National Guidelines of On‐Screen Presentation of Discharge Summaries.

Methods and results

Individual medical records were identified and screened for the recommended eDS components according to the National Guidelines. Out of the 17 recommended components, nine components were included in all discharge summaries, two components in more than 99% and two components in 95–96% of discharge summaries. The most frequently omitted components include “information provided to the patient,” “ceased medicine” and “procedures,” and these were omitted in 8, 38 and 82% of discharge summaries, respectively.

Conclusion

Overall, most discharge summaries adhered to the national guidelines quite well by including most of the recommended components. However, the discharge summary quality is still inadequate in some domains.

A scoping review of interventions for older adults transitioning from hospital to home

BACKGROUND/OBJECTIVES

Older adults are at high risk for adverse outcomes as they transition from hospital to home. Transitional care interventions primarily focus on care coordination and medication management and may miss key components. The objective of this study is to examine the current scope of hospital-to-home transitional care interventions that impact health-related outcomes and to examine other key components including engagement by older adults and their caregivers.

DESIGN

Scoping review.

METHODS

Eligible articles focused on hospital transition to home intervention, measured primary outcomes posthospitalization, used randomized controlled trial designs, and included primarily adults aged 60 years and older. Articles included in this review were reviewed in full and all data were extracted that related to study objective, setting, population, sample, intervention, primary and secondary outcomes, and main results.

RESULTS

Five hundred sixty-seven records were identified by title. Forty-four articles were deemed eligible and included. Most common transitional care intervention components were care continuity and coordination, medication management, symptom recognition, and self-management. Few studies reported a focus on caregiver needs or goals. Common modes of intervention delivery included by phone, in person while the patient was hospitalized, and in person in the community following hospital discharge. The most common outcomes were readmission and mortality.

CONCLUSION

To improve outcomes beyond healthcare utilization, a paradigm shift is required in the design and study of care transition interventions. Future interventions should explore methods or novel interventions for caregiver engagement; leverage an interdisciplinary team or care coordination hub with engagement from underrepresented specialties such as social work and occupational therapy; and examine opportunities for interventions designed specifically to address older adult and caregiver-reported needs and their well-being.

Hospitalization Outcomes of Delirium in Patients Admitted to Acute Care Hospitals in Their Last Year of Life: A Population-Based Retrospective Cohort Study

CONTEXT

Delirium is a highly distressing neurocognitive disorder for patients at the end of life.

OBJECTIVES

To compare hospitalization outcomes between patients with and without delirium admitted to acute care hospitals in the last year of life.

METHODS

Using linked administrative data from ICES (previously known as the Institute for Clinical Evaluative Sciences), this population-based retrospective cohort study included adults who died in Ontario between January 1, 2014 and December 31, 2016 and were admitted to an acute care hospital in their last year of life. Delirium was identified via diagnosis codes on the hospitalization discharge record. Outcomes included lengths of stay, discharge location, and in-hospital mortality. We used multivariable generalized estimating equations to compare outcomes between patients with and without delirium.

RESULTS

Of 208,715 decedents, 9.3% experienced delirium in at least one hospitalization in the last year of life. The mean hospitalization lengths of stay was 13.8 days in patients with delirium (SD = 21.1) or 1.80 times longer (95% CI = 1.75-1.84) compared with those without delirium. Among patients discharged alive, patients with delirium were 1.32 times (95% CI = 1.27-1.38) more likely to be discharged to another institution rather than discharged home. There was no difference in in-hospital mortality between patients with and without delirium (relative risk = 1.01; 95% CI = 0.98-1.05).

CONCLUSION

In the last year of life, hospitalized patients with recorded delirium experience poorer outcomes, including longer lengths of stay and increased risk of postdischarge institution use, compared with those without delirium. These outcomes illustrate added burden for patients, their families, and the health care system, thus highlighting the need for delirium prevention and early detection in addition to informed transitional care decisions.

Predictors of and reasons for early discharge from inpatient withdrawal management settings: A scoping review

ISSUES

Early discharges, also known as 'against medical advice' discharges, frequently occur in inpatient withdrawal management settings and can result in negative outcomes for patients. The purpose of this scoping review is to identify what is known about predictors of and reasons for the early discharge among adults accessing inpatient withdrawal management settings.

APPROACH

MEDLINE, CINAHL, PsycINFO, ASSIA and EMBASE were searched, resulting in 2587 articles for screening. Title and abstract screening and full-text review were completed by two independent reviewers. Results were synthesised in quantitative and qualitative formats.

KEY FINDINGS

Sixty-two studies were included in this scoping review. All studies focused on predictors of early discharge, except one which only described reasons for the early discharge. Forty-eight percent of studies involved retrospective review of health records data. The most frequently examined variables were demographics. Variables related to the treatment setting, such as referral source and treatment received, were examined less frequently but were more consistently associated with early discharge compared to demographics. Only six studies described patient reasons for the early discharge, which were retrieved via clinical documentation. The most common reasons for early discharge were dissatisfaction with treatment and family issues.

IMPLICATIONS AND CONCLUSIONS

Most demographic variables do not consistently predict early discharge, and reasons for early discharge are not well understood. Future studies should focus on the predictive value of non-patient-level variables, or conduct analyses to account for predictors of early discharge among different subgroups of people (e.g. by gender or ethnicity). Qualitative research exploring patient perspectives is needed.