Discharge Planning and Hospital Readmissions

"Being the main character but not always involved in one's own care transition" - a qualitative descriptive study of older adults' experiences of being discharged from in-patient care to home

BACKGROUND

The growing number of older adults with chronic diseases challenges already strained healthcare systems. Fragmented systems make transitions between healthcare settings demanding, posing risks during transitions from in-patient care to home. Despite efforts to make healthcare person-centered during care transitions, previous research indicates that these ambitions are not yet achieved. Therefore, there is a need to examine whether recent initiatives have positively influenced older adults' experiences of transitions from in-patient care to home. This study aimed to describe older adults' experiences of being discharged from in-patient care to home.

METHODS

This study had a qualitative descriptive design. Individual interviews were conducted in January-June 2022 with 17 older Swedish adults with chronic diseases and needing coordinated care transitions from in-patient care to home. Data were analyzed using inductive qualitative content analysis.

RESULTS

The findings indicate that despite being the supposed main character, the older adult is not always involved in the planning and decision-making of their own care transition, often having poor insight and involvement in, and impact on, these aspects. This leads to an experience of mismatch between actual needs and the expectations of planned support after discharge.

CONCLUSIONS

The study reveals a notable disparity between the assumed central role of older adults in care transitions and their insight and involvement in planning and decision-making.

Patient Engagement Functionalities' Influence on Quality Outcomes: The Road via EHR Presence

GOAL

Patients engaged in self-care through information technology can potentially improve the quality of healthcare they receive. This study aimed to examine how electronic health record (EHR) system functionalities help hospitals mediate the impact of patient engagement on quality outcomes-notably, readmission rates.

METHODS

A pooled cross-sectional study design employed data containing 3,547 observations from general acute care hospitals (2014-2018). The breadth of patient engagement functionalities adopted by a hospital was used as the independent variable and the degree of EHR presence was used as the mediating variable. Mean time to readmission for acute myocardial infarction (AMI), pneumonia, and heart failure were the dependent variables. The Baron and Kenny method was used to test mediation.

PRINCIPAL FINDINGS

Patient engagement was associated with reduced AMI readmission rates both directly and via EHR system presence. Mediation effects were present, in that a 1-unit increase in patient engagement through EHR system presence was associated with a 0.33% decrease in AMI readmission rates (p < .05). For other disease categories (heart failure and pneumonia), a significant effect was not found.

PRACTICAL APPLICATIONS

For hospitals with a comprehensive EHR system, patient engagement through information technology can potentially reduce readmission rates for some diseases. More research is needed to determine which specific clinical conditions are amenable to quality improvement through patient engagement. Synergies between patient engagement functionalities and an EHR system positively affect quality outcomes. Therefore, practitioners and hospital managers should leverage hospital investments made in their EHR system infrastructure and use it to engage patients in self-care.

Applying Advanced Practice Nurses in Rural Japan: A Mixed-Methods Perspective

Introduction Rural hospitals, particularly those in geographically isolated regions like Shimane Prefecture, Japan, face significant healthcare delivery challenges. These include limited resources, an aging population, and a scarcity of healthcare professionals. Advanced practice nurses (APNs) have emerged as pivotal in addressing these gaps, offering specialized patient assessment, diagnosis, and management skills. This study aimed to evaluate the demand for APNs in rural community hospitals, focusing on the specific educational needs and clinical competencies required to improve healthcare outcomes in these settings. Method Employing a mixed-methods approach, this research combined qualitative insights from stakeholder interviews with quantitative data analysis of electronic health records (EHRs) at Unnan City Hospital. This sequential exploratory design aimed to capture comprehensive educational needs and outcomes, integrating the depth of qualitative data with the breadth of quantitative evidence to tailor a curriculum for APNs in rural healthcare contexts. Results The study revealed a critical demand for APNs skilled in managing common medical issues in rural settings, such as infections, circulatory failures, and respiratory problems. Stakeholder interviews highlighted the necessity for a curriculum that enhances clinical competencies and emphasizes soft skills like communication and leadership. An analysis of EHRs identified 21 specific diseases across six categories, underlining the importance of targeted education on these prevalent conditions. Conclusion The findings underscore the urgent need for specialized education programs for APNs in rural hospitals to address these communities' unique healthcare challenges. Developing a curriculum that focuses on clinical and soft skills essential for rural healthcare delivery can significantly enhance the quality of care. This study advocates for implementing such tailored educational programs to empower APNs, thereby contributing to healthcare equity and improving patient outcomes in rural settings.

Decision-Making in the Admission of Older Patients: A Thematic Analysis From Multiple-Stakeholder Perspectives

Introduction As rural healthcare systems grapple with an aging population, understanding the factors influencing hospital admission decisions for elderly patients is crucial. This study explores the complex interplay of medical, social, and psychological factors that shape these decisions, as perceived by multiple stakeholders, including physicians, patients, and their families. Method This study was conducted in Unnan City Hospital, a rural community hospital in Unnan, Japan, using a qualitative thematic analysis approach. Participants included general physicians, patients admitted more than once, and their families. One-on-one semi-structured interviews were conducted in Japanese, recorded, transcribed, and analyzed. The analysis focused on identifying themes that influence decision-making processes regarding the admission of elderly patients. The research team, comprising family medicine, public health, and community health care experts, ensured a multi-perspective approach through collaborative coding and discussion. Results Three primary themes emerged from the analysis: "dilemma between medical indications and social admissions," "risks and benefits of hospitalization in response to unpredictable changes in the elderly," and "social factors intertwined with the multilayered nature of hospital admission decisions." Physicians reported a conflict between their medical training and the social needs of patients, often leading to stress and negative emotions. The unpredictable health trajectories of elderly patients necessitated a nuanced risk-benefit analysis for hospitalization. In addition, social factors, such as bed availability, patient's living environment, and psychosocial contexts, significantly influenced admission decisions. Conclusion The study highlights the need for a more holistic approach to medical education and practice, especially in rural healthcare settings. Recognizing the complexity of factors influencing hospitalization decisions, including medical, social, and individual patient circumstances, is vital. The findings underscore the importance of integrating biopsychosocial aspects into the decision-making process for the hospitalization of elderly patients, advocating for patient-centered care that respects the unique challenges in rural healthcare environments.

Medicare Changes in Response to COVID-19: Unintended Effects for Beneficiaries With Mental Illness or Substance Use Disorders

OBJECTIVE

The authors explored potential unintended consequences of Medicare policy changes in response to the COVID-19 pandemic for beneficiaries with behavioral health care needs.

METHODS

The authors collected policies relevant to mental health and substance use care. Informed by a literature review conducted in spring 2022, the authors convened a modified Delphi panel with 13 experts in June 2022. The authors assessed expert consensus through panelist surveys conducted before and after the panel convened.

RESULTS

Two policies that had a risk for unintended consequences for those with behavioral health care needs were identified. Panelists identified a discharge planning waiver as likely to decrease care access, care quality, and desirable outcomes and HIPAA enforcement discretion as likely to increase access to care and desirable outcomes (with some mixed effects on other outcomes) for Medicare beneficiaries with mental illness or substance use disorders.

CONCLUSIONS

Policies implemented quickly during the pandemic did not always account for unintended consequences for beneficiaries with behavioral health care needs.

Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning

Background Carotid endarterectomy (CEA) is a major vascular operation for stroke prevention that carries significant perioperative risks; however, outcome prediction tools remain limited. The authors developed machine learning algorithms to predict outcomes following CEA. Methods and Results The National Surgical Quality Improvement Program targeted vascular database was used to identify patients who underwent CEA between 2011 and 2021. Input features included 36 preoperative demographic/clinical variables. The primary outcome was 30-day major adverse cardiovascular events (composite of stroke, myocardial infarction, or death). The data were split into training (70%) and test (30%) sets. Using 10-fold cross-validation, 6 machine learning models were trained using preoperative features. The primary metric for evaluating model performance was area under the receiver operating characteristic curve. Model robustness was evaluated with calibration plot and Brier score. Overall, 38 853 patients underwent CEA during the study period. Thirty-day major adverse cardiovascular events occurred in 1683 (4.3%) patients. The best performing prediction model was XGBoost, achieving an area under the receiver operating characteristic curve of 0.91 (95% CI, 0.90-0.92). In comparison, logistic regression had an area under the receiver operating characteristic curve of 0.62 (95% CI, 0.60-0.64), and existing tools in the literature demonstrate area under the receiver operating characteristic curve values ranging from 0.58 to 0.74. The calibration plot showed good agreement between predicted and observed event probabilities with a Brier score of 0.02. The strongest predictive feature in our algorithm was carotid symptom status. Conclusions The machine learning models accurately predicted 30-day outcomes following CEA using preoperative data and performed better than existing tools. They have potential for important utility in guiding risk-mitigation strategies to improve outcomes for patients being considered for CEA.

Factors Affecting the Effectiveness of Discharge Planning Implementation: A Case-Control Cohort Study

BACKGROUND

In many hospitals, a discharge planning team works with the medical team to provide case management to ensure high-quality patient care and improve continuity of care from the hospital to the community. However, a large-scale database analysis of the effectiveness of overall discharge planning efforts is lacking.

PURPOSE

This study was designed to investigate the clinical factors that impact the efficacy of discharge planning in terms of hospital length of stay, readmission rate, and survival status.

METHODS

A retrospective study was conducted based on patient medical records and the discharge plans applied to patients hospitalized in a regional medical center between 2017 and 2018. The medical information system database and the care service management information system maintained by the Ministry of Health and Welfare were used to collect data and explore patients' medical care and follow-up status.

RESULTS

Clinical factors such as activities of daily living ≤ 60, having indwelling catheters, having poor control of chronic diseases, and insufficient caregiver capacity were found to be associated with longer hospitalization stays. In addition, men and those with indwelling catheters were found to have a higher risk of readmission within 30 days of discharge. Moreover, significantly higher mortality was found after discharge in men, those ≥ 75 years old, those with activities of daily living ≤ 60, those with indwelling catheters, those with pressure ulcers or unclean wounds, those with financial problems, those with caregivers with insufficient capacity, and those readmitted 14-30 days after discharge.

CONCLUSIONS

The findings of this study indicate that implementing case management for discharge planning does not substantially reduce the length of hospital stay nor does it affect patients' readmission status or prognosis after discharge. However, age, underlying comorbidities, and specific disease factors decrease the efficacy of discharge planning. Therefore, active discharge planning interventions should be provided to ensure transitional care for high-risk patients.

Patient Perspectives of the Hospital Discharge Process: A Qualitative Study

Care transitions after hospitalization require communication across care teams, patients, and caregivers. As part of a quality improvement initiative, we conducted qualitative interviews with a diverse group of 53 patients who were recently discharged from a hospitalization within a safety net hospital to explore how patient preferences were included in the hospital discharge process and differences in the hospital discharge experience by race/ethnicity. Four themes emerged from participants regarding desired characteristics of interactions with the discharge team: (1) to feel heard, (2) inclusion in decision-making, (3) to be adequately prepared to care for themselves at home through bedside teaching, (4) and to have a clear and updated discharge timeline. Additionally, participants identified patient-level factors the discharge planning team should consider, including the social context, family involvement, health literacy, and linguistic barriers. Lastly, participants identified provider characteristics, such as a caring and empathetic bedside manner, that they found valuable in the discharge process. Our findings highlight the need for shared decision-making in the discharge planning process to improve both patient safety and satisfaction.

A Qualitative Analysis of the Optimal Discharge Summary: Effective Communication of Medication Changes for Older Patients

Background: The importance of the discharge summary (DS) is well recognized. The format to be used is also important, but this aspect has not yet been studied in the literature. The purpose of this work was to establish a DS format for older patients that ensures effective communication with general practitioners (GPs). Methods: This study was based on the grounded theory approach to qualitative analysis. Data was collected from GPs during semi-structured and directive interviews. Results: Semi-structured interviews were conducted with 12 GPs and directive interviews with 39 GPs. A consensus was reached on one DS version providing selected information items such as trends in laboratory results (rising/falling) and information about planned drug withdrawals or specialist consultations. Conclusion: This work led to a consensus on the most appropriate format for the DS for older patients returning home. Its use in routine practice is needed to confirm its reception by GPs.

A Targeted Discharge Planning for High-Risk Readmissions: Focus on Patients and Caregivers

PURPOSE OF STUDY

Racial and ethnic minorities with socioeconomic disadvantages are vulnerable to 30-day hospital readmissions. A 16-week quality improvement (QI) project aimed to decrease readmissions of the vulnerable patient populations through tailored discharge planning. The project evaluated the effectiveness of using a 25-item checklist to increase patients' and caregivers' health knowledge, skills, and willingness for self-care and decrease readmissions.

PRIMARY PRACTICE SETTING

The project took place in an inner-city teaching hospital in the Mid-Atlantic region.

METHODOLOGY AND PARTICIPANTS

A casual comparative design compared readmissions of the before-intervention group (May 1-July 31, 2021) and the after-intervention group (August 1-October 31, 2021). A pre- and postintervention design evaluated the effectiveness of a 25-item checklist by analyzing the differences of Patient Activation Measure (PAM) pre- and postintervention survey scores and levels in the after-intervention group. Participants were General Medicine Unit patients 18 years or older who had Medicare Fee-for-Service, resided in 10 zip codes near the hospital, and were discharged home.

RESULTS

Of 30 patients who received the intervention, one patient was readmitted compared with 11 readmissions from 58 patients who did not receive the intervention. The readmission rate was decreased from 19% to 4% during the 16-week project: 11 (19%) versus 1 (4%), p = .038. After receiving the intervention, patients' PAM scores were increased by 8.55, t(22) = 2.67, p < .014. Three patients had a lower postintervention survey level, whereas 12 patients obtained a higher postintervention survey level (p = .01). The increase in scores and levels supported that the intervention effectively improved patients' self-management knowledge, skill, and willingness for self-care.

IMPLICATIONS FOR CASE MANAGEMENT PRACTICE

The QI project showed that the hospital could partner with patients at high risk for readmission and their caregivers. Accurate evaluation of patients' health knowledge, skills, and willingness for self-care was essential for sufficient discharge planning. Tailored use of the checklist improved patients' self-activation and functionally facilitated patients' and caregivers' care needs and capabilities. The checklist was statistically and clinically effective in decreasing 30-day hospital readmissions of vulnerable patient populations.

Descriptive epidemiology of hospitalized patients with bacterial nosocomial pneumonia who experience 30-day readmission in the US, 2014-2019

INTRODUCTION

Nosocomial pneumonia (NP) remains associated with excess morbidity and mortality. The effect of NP on measures such as re-admission at 30 days remains unclear. Moreover, differing types of NP may have varying impacts on re-admissions.

METHODS

We conducted a multicenter retrospective cohort study within the Premier Research database, a source containing administrative, pharmacy, and microbiology data. We compared NP patients readmitted with pneumonia (RaP) as the principal diagnosis to those readmitted for other reasons (RaO) with respect to the type of NP (ventilator-associated bacterial pneumonia [VABP], ventilated hospital-acquired bacterial pneumonia [vHABP], and non-ventilated HABP [nvHABP]), and characteristics and outcomes of the index hospitalization.

RESULTS

Among 17,819 patients with NP, 14,123 (79.3%) survived to discharge, of whom 2,151 (15.2%) required an acute readmission within 30 days of index discharge. Of these, 106 (4.9%) were RaP, and the remainder were RaO. At index hospitalization, RaP patients were older (mean age [SD] 67.4 (13.9] vs. 63.0 [15.2] years), more likely medical (44.3% vs. 36.7%), and less chronically ill (median [IQR] Charlson scores (3 [2-5] vs. 4 [2-5]) than persons with RaO. Bacteremia (10.4% vs. 17.5%), need for vasopressors (15.1% vs. 20.0%), dialysis (9.4% vs. 16.5%), and/or sepsis (9.4% vs. 16.5%) or septic shock 14.2% vs. 17.1%) occurred less frequently in the RaP group. With respect to NP type, nvHABP was most common in RaP (47.2%) and VABP in RaO (38.1%).

CONCLUSIONS

One in seven survivors of a hospitalization complicated by NP requires an acute rehospitalization within 30 days. However, few of these readmissions had a principal diagnosis of pneumonia, irrespective of NP type. Of the 5% of NP subjects with RaP, the plurality initially suffered from nvHABP.

Hospital Discharge Instructions: Characteristics, Accessibility, and National Guideline Adherence

OBJECTIVES

The content of pediatric hospital discharge instructions is highly variable. This study aimed to describe the characteristics, accessibility per patient literacy level and language, and national guideline adherence of pediatric hospital discharge instructions.

METHODS

This retrospective study assessed discharge instructions at a tertiary children's hospital. Patient and instruction characteristics, including patient health literacy level, grade level of instructions, patient language preference, and language of instructions were collected via chart review and electronic medical record query. Standard admission processes assessed health literacy via Brief Health Literacy Screening. The association between demographic and clinical characteristics and adherence to Solutions for Patient Safety guidelines was analyzed by using unadjusted and adjusted analysis methods.

RESULTS

Of 240 discharge instructions, 25% were missing at least 1 recommended content area: signs of worsening, where to seek help, or medication reconciliation. A patient health literacy deficit was identified in 15%; the mean grade level of instructions was 10.1. Limited English proficiency was reported among 17% one quarter of whom received language concordant instructions. Use of discharge instruction templates and discharge services were associated with improved guideline adherence (P <.001). Almost one-half of the study population had a complex medical history, which was associated with decreased guideline adherence (P = .04).

CONCLUSIONS

One-quarter of discharge instructions for this predominantly medically complex population failed to meet national standards. Accessibility was often limited by the reading grade level or discordant language of instructions. Templates may be a valuable tool for improving discharge instruction content, accessibility, and adherence to national guidelines.

Physician Practices With Robust Capabilities Spend Less On Medicare Beneficiaries Than More Limited Practices

No research has considered a range of physician practice capabilities for managing patient care when examining practice-level influences on quality of care, utilization, and spending. Using data from the 2017 National Survey of Healthcare Organizations and Systems linked to 2017 Medicare fee-for-service claims data from attributed beneficiaries, we examined the association of practice-level capabilities with process measures of quality, utilization, and spending. In propensity score-weighted mixed-effects regression analyses, physician practice locations with "robust" capabilities had lower total spending compared to locations with "mixed" or "limited" capabilities. Quality and utilization, however, did not differ by practice-level capabilities. Physician practice locations with robust capabilities spend less on Medicare fee-for-service beneficiaries but deliver quality of care that is comparable to the quality delivered in locations with low or mixed capabilities. Reforms beyond those targeting practice capabilities, including multipayer alignment and payment reform, may be needed to support larger performance advantages for practices with robust capabilities.

[Implementation of discharge management in the surgical department of a university hospital: exploratory analysis of costs, length of stay, and patient satisfaction]

BACKGROUND

Discharge management has been mandatory by law in Germany since October 2017, and hospitals are required to finance and implement this. Currently there are no data available on the costs and effects of discharge management on the length of hospital stay.

AIMS

Determination of the costs of discharge management in the Department of Surgery at the University Hospital rechts der Isar of the Technical University of Munich, Germany, assessment of the length of stay in comparison with and without discharge management, and evaluation of patients' satisfaction to create first precedents for future negotiations about adequate financing.

METHODS

Cost analysis of discharge management in the Department of Surgery at the School of Medicine at the Technical University of Munich, retrospective analysis of the mean length of hospital stays before and after implementation of discharge management, and patient surveys on the quality of the structured transition process and their satisfaction.

RESULTS

The cost analysis revealed lump costs of € 43 per patient and € 391 for patients with a need for complex management. No statistically significant shorter length of hospital stay after the implementation of discharge management was found by analyzing three patient subgroups. The overall rate of patients returning to the hospital due to complications associated with the surgical procedure was 3.4%.

DISCUSSION

Discharge management in the Department of Surgery at the hospital is an effective and potentially quality-enhancing but at the same time cost-driving measure, which, in the medium term, will enter G‑DRG rates and may thus increase costs. A possible solution to meet various stakeholders' needs could be a case-specific financial remuneration of discharge management that is adapted to the transition qualities of the various medical departments.

Relationship Between Nutritional Status and Clinical Outcome in Patients With Gastrointestinal Stromal Tumor After Surgical Resection

Background

Currently, gastrointestinal stromal tumors (GIST) are the most common mesenchymal tumors in the gastrointestinal tract, and surgical resection is the main treatment. Malnutrition after gastrointestinal surgery is not uncommon, which may have adverse effects on postoperative recovery and prognosis. However, the nutritional status of GIST patients after surgical resection and its impact on clinical outcomes have received less attention. Therefore, the aim of this study was to dynamically evaluate the nutritional status of GIST patients undergoing surgical resection, and to analyze the correlation between nutritional status and clinical outcomes.

Methods

We retrospectively analyzed the clinical data of GIST patients who underwent surgical resection in the Fourth Hospital of Hebei Medical University from January 2016 to January 2020. Nutritional risk screening 2002 (NRS2002) and Patient-Generated Subjective Global Assessment (PG-SGA) were used to assess the nutritional status of all patients at admission and discharge, and the correlation between nutritional risk and clinical outcomes was analyzed.

Results

A total of 413 GIST patients were included in this study, among which 114 patients had malnutrition risk at admission (NRS2002 score ≥ 3), and 65 patients had malnutrition (PG-SGA score ≥ 4). The malnutrition risk rate (27.60 vs. 46.73%, p &lt; 0.001) and malnutrition incidence (15.73 vs. 37.29%, p &lt; 0.001) at admission were lower than those at discharge. Compared with the laboratory results at admission, the albumin, prealbumin, and total protein of the patients at discharge were significantly lower (all p &lt; 0.05). And there was a negative correlation between PG-SGA and clinical outcome (all p &lt; 0.05).

Conclusion

The nutritional status of GIST patients after surgical resection at discharge was worse than that at admission, and malnutrition is an important risk factor leading to poor clinical outcomes.

Trends in the quality and cost of inpatient surgical procedures in the United States, 2002-2015

OBJECTIVES

This study documents trends in risk-adjusted quality and cost for a variety of inpatient surgical procedures among Medicare beneficiaries from 2002 through 2015, which can provide valuable insight on future strategies to improve public health and health care.

METHODS

We focused on 11 classes of inpatient surgery, defined by the Agency for Health Research and Quality's (AHRQ's) Clinical Classification System. The surgical classes studied included a wide range of surgeries, including tracheostomy, heart valve procedures, colorectal resection, and wound debridement, among others. For each surgical class, we assessed trends in treatment costs and quality outcomes, as defined by 30-day survival without unplanned readmissions, among Medicare beneficiaries receiving these procedures during hospital stays. Quality and costs were adjusted for patient severity based on demographics, comorbidities, and community context. We also explored surgical innovations of these 11 classes of inpatient surgery from 2002-2015.

RESULTS

We found significant improvements in quality for 7 surgical classes, ranging from 0.08% (percutaneous transluminal coronary angioplasty) to 0.74% (heart valve procedures) per year. Changes in cost varied by surgery, the significant decrease in cost ranged from -2.59% (tracheostomy) to -0.34% (colorectal resection) per year. Treatment innovation occurred with respect to surgical procedures utilized for heart valve procedures and colorectal resection, which may be associated with the decrease in surgical cost.

CONCLUSIONS

Our results suggest that there was significant quality improvement for 7 surgery categories over the 14-year study period. Costs decreased significantly for 6 surgery categories, and increased significantly for 3 other categories.

Activity Measure for Post-Acute Care "6-Clicks" for the Prediction of Short-term Clinical Outcomes in Individuals Hospitalized With COVID-19: A Retrospective Cohort Study

Objective

To determine the ability of the Activity Measure for Post-Acute Care (AM-PAC) "6-Clicks" assessments of mobility and activity to predict key clinical outcomes in patients hospitalized with coronavirus disease 2019 (COVID-19).

Design

Retrospective cohort study.

Setting

An academic health system in the United States consisting of 5 inpatient hospitals.

Participants

Adult patients (N=1486) urgently or emergently admitted who tested positive for COVID-19 and had at least 1 AM-PAC assessment.

Interventions

Not applicable.

Main Outcome Measures

Discharge destination, hospital length of stay, in-hospital mortality, and readmission.

Results

A total of 1486 admission records were included in the analysis. After controlling for covariates, initial and final mobility (odds ratio, 0.867 and 0.833, respectively) and activity scores (odds ratio, 0.892 and 0.862, respectively) were both independent predictors of discharge destination with a high accuracy of prediction (area under the curve [AUC]=0.819-0.847). Using a threshold score of 17.5, sensitivity ranged from 0.72-0.79, whereas specificity ranged from 0.74-0.83. Both initial AM-PAC mobility and activity scores were independent predictors of mortality (odds ratio, 0.885 and 0.877, respectively). Initial mobility, but not activity, scores were predictive of prolonged length of stay (odds ratio, 0.957 and 0.980, respectively). However, the accuracy of prediction for both outcomes was weak (AUC=0.659-0.679). AM-PAC scores did not predict rehospitalization.

Conclusions

Functional status as measured by the AM-PAC “6-Clicks” mobility and activity scores are independent predictors of key clinical outcomes individual hospitalized with COVID-19.

Bladder Backfilling versus Standard Catheter Removal for Trial of Void after Outpatient Laparoscopic Gynecologic Surgery: A Systematic Review and Meta-Analysis

OBJECTIVE

To compare the rate of postoperative urinary retention and time to discharge between bladder backfilling and standard catheter removal for trial of void (TOV) after outpatient laparoscopic gynecologic surgery. Our secondary objectives were to compare the time to void, postoperative complications, and patient satisfaction.

DATA SOURCES

We searched the PubMed, Ovid MEDLINE, Embase, Cochrane Library databases, and relevant reference lists of eligible articles up to March of 2021.

METHODS OF STUDY SELECTION

This review included randomized controlled trials (RCTs) of TOV after outpatient laparoscopic gynecologic surgery. Odds ratios (ORs) with 95% confidence interval (CI) and weighted mean differences (WMDs) were reported. The quality of the studies was assessed according to the Cochrane Handbook for Systematic Reviews of Interventions. Data were analyzed with Review Manager 5.4 software (RevMan 5.4.1; Cochrane Collaboration, London, United Kingdom).

TABULATION, INTEGRATION, AND RESULTS

Five RCTs (N = 488) were included. The bladder backfilling group had a significantly shorter time to void than the standard TOV group (WMD, -25.19 minutes; 95% CI, -44.60 to -5.77; p = .01). Successful TOV was not significantly different between the 2 (OR, 0.92; 95% CI, 0.51 to -1.65; p = .77), without significant heterogeneity (I² = 24%). There was also no significant difference in the time to discharge between the 2 TOV techniques (WMD, -25.19 minutes; 95% CI, -44.60 to -5.77; p = .01). There was no significant difference in complication rates or patient satisfaction between the 2 groups.

CONCLUSION

The bladder backfilling technique of TOV after outpatient laparoscopic gynecologic surgery may reduce the time to first spontaneous void without affecting patient satisfaction or postoperative complications, but it does not significantly affect the time to discharge or urinary retention.

Orthogeriatric co-management for the care of older subjects with hip fracture: recommendations from an Italian intersociety consensus

BACKGROUND

Health outcomes of older subjects with hip fracture (HF) may be negatively influenced by multiple comorbidities and frailty. An integrated multidisciplinary approach (i.e. the orthogeriatric model) is, therefore, highly recommended, but its implementation in clinical practice suffers from the lack of shared management protocols and poor awareness of the problem. The present consensus document has been implemented to address these issues.

AIM

To develop evidence-based recommendations for the orthogeriatric co-management of older subjects with HF.

METHODS

A 20-member Expert Task Force of geriatricians, orthopaedics, anaesthesiologists, physiatrists, physiotherapists and general practitioners was established to develop evidence-based recommendations for the pre-, peri-, intra- and postoperative care of older in-patients (≥ 65 years) with HF. A modified Delphi approach was used to achieve consensus, and the U.S. Preventive Services Task Force system was used to rate the strength of recommendations and the quality of evidence.

RESULTS

A total of 120 recommendations were proposed, covering 32 clinical topics and concerning preoperative evaluation (11 topics), perioperative (8 topics) and intraoperative (3 topics) management, and postoperative care (10 topics).

CONCLUSION

These recommendations should ease and promote the multidisciplinary management of older subjects with HF by integrating the expertise of different specialists. By providing a convenient list of topics of interest, they might assist in identifying unmet needs and research priorities.

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

Background

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

Methods

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

Results

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

Conclusion

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

Prolonged Length of Stay and Risk of Unplanned 30-Day Readmission After Elective Spine Surgery: Propensity Score-Matched Analysis of 33,840 Patients

STUDY DESIGN

Retrospective database study.

OBJECTIVE

To assess the association between prolonged length of hospital stay (pLOS) (≥4 d) and unplanned readmission in patients undergoing elective spine surgery by controlling the clinical and statistical confounders.

SUMMARY OF BACKGROUND DATA

pLOS has previously been cited as a risk factor for unplanned hospital readmission. This potentially modifiable risk factor has not been distinguished as an independent risk factor in a large-scale, multi-institutional, risk-adjusted study.

METHODS

Data were collected from the American College of Surgeons National Surgical Quality Improvement Program database. A retrospective propensity score-matched analysis was used to reduce baseline differences between the cohorts. Univariate and multivariate analyses were performed to assess the degree of association between pLOS and unplanned readmission.

RESULTS

From the 99,575 patients that fit the inclusion criteria, propensity score matching yielded 16,920 well-matched pairs (mean standard propensity score difference = 0.017). The overall 30-day unplanned readmission rate of these 33,840 patients was 5.5%. The mean length of stay was 2.0 ± 0.9 days and 6.0 ± 4.5 days (P ≤ 0.001) for the control and pLOS groups, respectively. In our univariate analysis, pLOS was associated with postoperative complications, especially medical complications (22.7% vs. 8.3%, P < 0.001). Multivariate analysis of the propensity score-matched population, which adjusted identified confounders (P < 0.02 and ≥10 occurrences), showed pLOS was associated with an increased risk of 30-day unplanned readmission (odds ratio [OR] 1.423, 95% confidence interval [CI] 1.290-1.570, P < 0.001).

CONCLUSION

Patients who undergo elective spine procedures who have any-cause pLOS (≥4 d) are at greater risk of having unplanned 30-day readmission compared with patients with shorter hospital stays.

LEVEL OF EVIDENCE

4.

A Machine Learning Approach to Predicting Readmission or Mortality in Patients Hospitalized for Stroke or Transient Ischemic Attack

Readmissions after stroke are not only associated with greater levels of disability and a higher risk of mortality but also increase overall medical costs. Predicting readmission risk and understanding its causes are thus essential for healthcare resource allocation and quality improvement planning. By using machine learning techniques on initial admission data, this study aimed to develop prediction models for readmission or mortality after stroke. During model development, resampling methods were implemented to balance the class distribution. Two-layer nested cross-validation was used to build and evaluate the prediction models. A total of 3422 patients were included for analysis. The 90-day rate of readmission or mortality was 17.6%. This study identified several important predictive factors, including age, prior emergency department visits, pre-stroke functional status, stroke severity, body mass index, consciousness level, and use of a nasogastric tube. The Naïve Bayes model with class weighting to compensate for class imbalance achieved the highest discriminatory capacity in terms of the area under the receiver operating characteristic curve (0.661). Despite having room for improvement, the prediction models could be used for early risk assessment of patients with stroke. Identification of patients at high risk for readmission or mortality immediately after admission has the potential of enabling early discharge planning and transitional care interventions.

Teamwork in a pandemic: insights from management research

Background

Amidst the unprecedented outbreak of COVID-19, it is both critical and increasingly difficult for healthcare professionals to engage in the teamwork that will underlie an effective response to the pandemic. The simultaneous need for and challenge to teamwork, though, is not unique to healthcare.

Results

Drawing on management and organisational research conducted in healthcare as well as other industries, this article offers an overview of key, and robust, findings that highlight both what teamwork looks like and how to achieve it. I focus on two aspects of teamwork (the coordination of expertise and communication), and I review how leaders can jumpstart them by leveraging mechanisms including framing the work, using communication structures and engaging in leader inclusiveness.

Acute wound infections management: the 'Don'ts' from a multidisciplinary expert panel

Introduction: The management of acute wounds may be affected by malpractices leading to poor outcome, prolonged hospital stay and inappropriate use of antibiotic therapy.Areas covered: Acute wound infections are represented by surgical site and post-traumatic infections. The aim of this expert opinion is to identify a list of inadvisable actions and to provide a guide for an optimal management of acute wound infections. A literature search using Pubmed/MEDLINE database was performed. Articles pertaining to areas covered published until December 2019 were selected. We identified the most common malpractices in this setting and, using the Choosing Wisely methodology, we proposed a list of "Don'ts" for an easy use in clinical practice.Expert opinion: Malpractices may occur from the surgical prophylaxis to the discharge of patient. A prolonged surgical prophylaxis, the underestimation of signs and symptoms, the omission of source control, the inappropriate collection of wound swab, the improper use of clinical microbiology and pharmacology, the lack of hygiene measures and the delay of discharge are all factors that may lead to unfavorable outcome. A multidisciplinary approach is needed to optimally manage these patients. The "Don'ts" refer to all professional figures involved in the management of patients with acute wound infections.

Readmission Rates and Their Impact on Hospital Financial Performance: A Study of Washington Hospitals

This longitudinal study examines whether readmission rates, made transparent through Hospital Compare, affect hospital financial performance by examining 98 hospitals in the State of Washington from 2012 to 2014. Readmission rates for acute myocardial infarction (AMI), pneumonia (PN), and heart failure (HF) were examined against operating revenues per patient, operating expenses per patient, and operating margin. Using hospital-level fixed effects regression on 276 hospital year observations, the analysis indicated that a reduction in AMI readmission rates is related with increased operating revenues as expenses associated with costly treatments related with unnecessary readmissions are avoided. Additionally, reducing readmission rates is related with an increase in operating expenses. As a net effect, increased PN readmission rates may show marginal increase in operating margin because of the higher operating revenues due to readmissions. However, as readmissions continue to happen, a gradual increase in expenses due to greater use of resources may lead to decreased profitability.

Spillover Effects of the Hospital Readmissions Reduction Program on Radical Cystectomy Readmissions

Introduction and Objective

Readmission rates after radical cystectomy are among the highest of any surgery. The Hospital Readmissions Reduction Program (HRRP) penalizes hospitals with excess readmissions for certain targeted conditions, including total hip and knee arthroplasty. We examined whether changes made by hospitals in response to the HRRP had spillover effects on radical cystectomy readmissions.

Methods

We used a 20% sample of Medicare data to identify patients undergoing cystectomy from 2010 to 2014 and measured 30-day adjusted cystectomy readmission rates. To determine the effect of the HRRP, we calculated adjusted readmission rates following total hip or knee arthroplasty and stratified hospitals into quartiles (most improved, middle quartiles, least improved) based on their improvement in reducing those targeted readmissions. Multivariable logistic regression was used to identify factors associated with spillover effects from the targeted joint surgery to cystectomy.

Results

We identified 2,394 patients undergoing radical cystectomy. Of these, 606 were treated at hospitals in the "most improved" quartile and 522 in the "least improved." Patients undergoing cystectomy were similar in age, comorbidity, and SEC independent of hospital performance quartile. The readmission rate following cystectomy was 26% in the most improved quartile and 24% in the least improved. No spillover effect was identified between readmission reduction after major joint surgery and radical cystectomy (adjusted OR 0.90, p=0.42).

Conclusions

Hospitals that succeeded in reducing readmissions following major joint surgery targeted by the HRRP did not have similar reductions in readmissions following radical cystectomy. This lack of spillover effect suggests that each surgical condition may require tailored interventions to prevent readmissions.