Nurses engaging with referral letters and discharge summaries: A qualitative study.

AIMS: To investigate the ways that nurses engage with referral letters and discharge summaries, and the qualities of these documents they find valuable for safe and effective practice. DESIGN: This study comprised a qualitative, case-study design within a constructivist paradigm using convenience sampling. METHODS: Interviews were conducted with nurses to investigate their practices relating to referral letters and discharge summaries. Data collection also involved nurses' examination and evaluation of a diverse range of 10 referral letters and discharge summaries from medical records at two Australian hospitals through focus-group sessions. The data were transcribed and analysed inductively. RESULTS: In all, 67 nurses participated in interviews or focus groups. Nurses indicated they used referral letters and discharge summaries to inform their work when caring for patients at different times throughout their hospitalisation. These documents assisted them with verbal handovers, to enable them to educate patients about their condition and treatment and to provide a high standard of care. The qualities of referral letters and discharge summaries that they most valued were language and communication, an awareness of audience and clinical knowledge, as well as balancing conciseness with comprehensiveness of information. CONCLUSION: Nurses relied on referral letters and discharge summaries to ensure safe and effective patient care. They used these documents to enhance their verbal handovers, contribute to patient care and to educate the patient about their condition and treatment. They identified several qualities of these documents that assisted them in maintaining patient safety including clarity and conciseness of information. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: It is important that referral letters and discharge summaries are written clearly, concisely and comprehensively because nurses use them as key sources of evidence in planning and delivering care, and in communicating with other health professionals in relaying goals of care and implementing treatment plans. IMPACT: Nurses reported that they regularly used referral letters and discharge summaries as valuable sources of evidence throughout their patients' hospitalisation. The qualities of these documents which they most valued were language and communication styles, awareness of audience and clinical knowledge, as well as balancing conciseness with comprehensiveness of information. This research has important impact on the patient experience in relation to encouraging effective referral letter and discharge summary writing. REPORTING METHOD: We have adhered to the relevant EQUATOR guidelines through the SRQR reporting method. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Evaluating a co-designed care bundle to improve patient safety at discharge from adult and adolescent mental health services (SAFER-MH and SAFER-YMH): protocol for a non-randomised feasibility study.

INTRODUCTION: Patients being discharged from inpatient mental wards often describe safety risks in terms of inadequate information sharing and involvement in discharge decisions. Through stakeholder engagement, we co-designed, developed and adapted two versions of a care bundle intervention, the SAFER Mental Health care bundle for adult and youth inpatient mental health settings (SAFER-MH and SAFER-YMH, respectively), that look to address these concerns through the introduction of new or improved processes of care. METHODS AND ANALYSIS: Two uncontrolled before-and-after feasibility studies, where all participants will receive the intervention. We will examine the feasibility and acceptability of the SAFER-MH in inpatient mental health settings in patients aged 18 years or older who are being discharged and the feasibility and acceptability of the SAFER-YMH intervention in inpatient mental health settings in patients aged between 14 and 18 years who are being discharged. The baseline period and intervention periods are both 6 weeks. SAFER-MH will be implemented in three wards and SAFER-YMH in one or two wards, ideally across different trusts within England. We will use quantitative (eg, questionnaires, completion forms) and qualitative (eg, interviews, process evaluation) methods to assess the acceptability and feasibility of the two versions of the intervention. The findings will inform whether a main effectiveness trial is feasible and, if so, how it should be designed, and how many patients/wards should be included. ETHICS AND DISSEMINATION: Ethical approval was obtained from the National Health Service Cornwall and Plymouth Research Ethics Committee and Surrey Research Ethics Committee (reference: 22/SW/0096 and 22/LO/0404). Research findings will be disseminated with participating sites and shared in various ways to engage different audiences. We will present findings at international and national conferences, and publish in open-access, peer-reviewed journals.

Uso de terminología enfermera normalizada en los informes de cuidados al alta en un hospital de Canarias: Un estudio descriptivo / Use of standardised nursing terminology at discharge care reports in a canary islands hospital: a descriptive study

Objetivos: Analizar el uso de len guajes normalizados en los informes de enfermería identificando tipologías, eti quetas y contenidos diagnósticos. Méto do: Estudio descriptivo transversal sobre una muestra aleatoria simple (n = 370) de informes al alta hospitalaria en el Complejo Hospitalario Universitario Insu lar Materno-Infantil (Islas Canarias, Es paña). Se han calculado media y desvia ción estándar para las variables cuantita tivas y frecuencias para las cualitativas usando SPSS® (versión 25). Resulta dos: Menos de la mitad de los informes (49,23%) incorporaron terminología nor malizada, incluyendo n = 1922 diagnósti cos activos, n = 93 diagnósticos resuel tos, n = 72 intervenciones y n = 103 re sultados enfermeros. Conclusiones: Los informes que usan lenguajes normaliza dos son insuficientes, mostrando elevado número de etiquetas diagnósticas que revelan escasa resolución de diagnósti cos focalizados en el problema, con me nor registro de intervenciones y resulta dos enfermeros (AU)

Objectives: To analyse the use of standardised language in nursing care reports identifying typologies, labels and diagnostic content. Methods: Cross-sec tional descriptive study of a simple ran dom sample (n = 370) in the Complejo Hospitalario Universitario Insular Ma terno-Infantil (Canary Islands, Spain). The mean and standard deviation for quantitative variables, and frequency for qualitative variables were calculated using SPSS® (version 25). Results: Less than half of the reports (49.23%) incorpo rated standardized terminology, including n = 1922 active diagnoses, n = 93 resol ved diagnoses, n = 72 interventions, and n = 103 nurses outcomes. Conclusions: Reports using standardized languages are insufficient, showing a high number of diagnostic labels that reveal poor reso lution of problem-focused nursing diag noses, with less recording of interven tions and nurses outcomes (AU)

Operations management solutions to improve ED patient flows: evidence from the Italian NHS.

BACKGROUND: Overcrowding occurs when the identified need for emergency services outweighs the available resources in the emergency department (ED). Literature shows that ED overcrowding impacts the overall quality of the entire hospital production system, as confirmed by the recent COVID-19 pandemic. This study aims to identify the most relevant variables that cause ED overcrowding using the input-process-output model with the aim of providing managers and policy makers with useful hints for how to effectively redesign ED operations. METHODS: A mixed-method approach is used, blending qualitative inquiry with quantitative investigation in order to: i) identifying and operationalizing the main components of the model that can be addressed by hospital operation management teams and ii) testing and measuring how these components can influence ED LOS. RESULTS: With a dashboard of indicators developed following the input-process-output model, the analysis identifies the most significant variables that have an impact on ED overcrowding: the type (age and complexity) and volume of patients (input), the actual ED structural capacity (in terms of both people and technology) and the ED physician-to-nurse ratio (process), and the hospital discharging process (output). CONCLUSIONS: The present paper represents an original contribution regarding two different aspects. First, this study combines different research methodologies with the aim of capturing relevant information that by relying on just one research method, may otherwise be missed. Second, this study adopts a hospitalwide approach, adding to our understanding of ED overcrowding, which has thus far focused mainly on single aspects of ED operations.

Prevalence, Characteristics, and Outcomes of Emergency Department Discharge Among Patients With Sepsis.

Importance: Sepsis guidelines and research have focused on patients with sepsis who are admitted to the hospital, but the scope and implications of sepsis that is managed in an outpatient setting are largely unknown. Objective: To identify the prevalence, risk factors, practice variation, and outcomes for discharge to outpatient management of sepsis among patients presenting to the emergency department (ED). Design, Setting, and Participants: This cohort study was conducted at the EDs of 4 Utah hospitals, and data extraction and analysis were performed from 2017 to 2021. Participants were adult ED patients who presented to a participating ED from July 1, 2013, to December 31, 2016, and met sepsis criteria before departing the ED alive and not receiving hospice care. Exposures: Patient demographic and clinical characteristics, health system parameters, and ED attending physician. Main Outcomes and Measures: Information on ED disposition was obtained from electronic medical records, and 30-day mortality data were acquired from Utah state death records and the US Social Security Death Index. Factors associated with ED discharge rather than hospital admission were identified using penalized logistic regression. Variation in ED discharge rates between physicians was estimated after adjustment for potential confounders using generalized linear mixed models. Inverse probability of treatment weighting was used in the primary analysis to assess the noninferiority of outpatient management for 30-day mortality (noninferiority margin of 1.5%) while adjusting for multiple potential confounders. Results: Among 12 333 ED patients with sepsis (median [IQR] age, 62 [47-76] years; 7017 women [56.9%]) who were analyzed in the study, 1985 (16.1%) were discharged from the ED. After penalized regression, factors associated with ED discharge included age (adjusted odds ratio [aOR], 0.90 per 10-y increase; 95% CI, 0.87-0.93), arrival to ED by ambulance (aOR, 0.61; 95% CI, 0.52-0.71), organ failure severity (aOR, 0.58 per 1-point increase in the Sequential Organ Failure Assessment score; 95% CI, 0.54-0.60), and urinary tract (aOR, 4.56 [95% CI, 3.91-5.31] vs pneumonia), intra-abdominal (aOR, 0.51 [95% CI, 0.39-0.65] vs pneumonia), skin (aOR, 1.40 [95% CI, 1.14-1.72] vs pneumonia) or other source of infection (aOR, 1.67 [95% CI, 1.40-1.97] vs pneumonia). Among 89 ED attending physicians, adjusted ED discharge probability varied significantly (likelihood ratio test, P < .001), ranging from 8% to 40% for an average patient. The unadjusted 30-day mortality was lower in discharged patients than admitted patients (0.9% vs 8.3%; P < .001), and their adjusted 30-day mortality was noninferior (propensity-adjusted odds ratio, 0.21 [95% CI, 0.09-0.48]; adjusted risk difference, 5.8% [95% CI, 5.1%-6.5%]; P < .001). Alternative confounder adjustment strategies yielded odds ratios that ranged from 0.21 to 0.42. Conclusions and Relevance: In this cohort study, discharge to outpatient treatment of patients who met sepsis criteria in the ED was more common than previously recognized and varied substantially between ED physicians, but it was not associated with higher mortality compared with hospital admission. Systematic, evidence-based strategies to optimize the triage of ED patients with sepsis are needed.

Association of material deprivation with discharge location and length of stay after inpatient stroke rehabilitation in Ontario: a retrospective, population-based cohort study.

BACKGROUND: Low socioeconomic status is associated with increased risk of stroke and worse poststroke functional status. The aim of this study was to determine whether socioeconomic status, as measured by material deprivation, is associated with direct discharge to long-term care or length of stay after inpatient stroke rehabilitation. METHODS: We performed a retrospective, population-based cohort study of people admitted to inpatient rehabilitation in Ontario, Canada, after stroke. Community-dwelling adults (aged 19-100 yr) discharged from acute care with a most responsible diagnosis of stroke between Sept. 1, 2012, and Aug. 31, 2017, and subsequently admitted to an inpatient rehabilitation bed were included. We used a multivariable logistic regression model to examine the association between material deprivation quintile (from the Ontario Marginalization Index) and discharge to long-term care, and a multivariable negative binomial regression model to examine the association between material deprivation quintile and rehabilitation length of stay. RESULTS: A total of 18 736 people were included. There was no association between material deprivation and direct discharge to long-term care (most v. least deprived: odds ratio [OR] 1.07, 95% confidence interval [CI] 0.89-1.28); however, people living in the most deprived areas had a mean length of stay 1.7 days longer than that of people in the least deprived areas (p = 0.004). This difference was not significant after adjustment for other baseline differences (relative change in mean 1.02, 95% CI 0.99-1.04). INTERPRETATION: People admitted to inpatient stroke rehabilitation in Ontario had similar discharge destinations and lengths of stay regardless of their socioeconomic status. In future studies, investigators should consider further examining the associations of material deprivation with upstream factors as well as potential mitigation strategies.

Preventable Readmissions Following Common Cancer Surgeries: Lessons Learned from New York State and Targets for Improvement.

BACKGROUND: Potentially preventable readmissions of surgical oncology patients offer opportunities to improve quality of care. Identifying and subsequently addressing remediable causes of readmissions may improve patient-centered care. OBJECTIVES: To identify factors associated with potentially preventable readmissions after index cancer operation. METHODS: The New York State hospital discharge database was used to identify patients undergoing common cancer operations via principal diagnosis and procedure codes between the years 2010 and 2014. The 30-day readmissions were identified and risk factors for potentially preventable readmissions were analyzed using competing risk analysis. RESULTS: A total of 53,740 cancer surgeries performed for the following tumor types were analyzed: colorectal (CRC) (42%), kidney (22%), liver (2%), lung (25%), ovary (4%), pancreas (4%), and uterine (1%). The 30-day readmission rate was 11.97%, 47% of which were identified as potentially preventable. The most common cause of potentially preventable readmissions was sepsis (48%). Pancreatic cancer had the highest overall readmission rate (22%) and CRC had the highest percentage of potentially preventable readmissions (51%, hazard ratio [HR] 1.42, 95% confidence interval [95%CI] 1.28-1.61). Risk factors associated with preventable readmissions included discharge disposition to a skilled nursing facility (HR 2.22, 95%CI 1.99-2.48) and the need for home healthcare (HR 1.61, 95%CI 1.48-1.75). CONCLUSIONS: Almost half of the 30-day readmissions were potentially preventable and attributed to high rates of sepsis, surgical site infections, dehydration, and electrolyte disorders. These results can be further validated for identifying broad targets for improvement.

Minimal clinically important difference in days at home up to 30 days after surgery.

Patient-centred outcomes are increasingly recognised as crucial measures of healthcare quality. Days alive and at home up to 30 days after surgery (DAH30 ) is a validated and readily obtainable patient-centred outcome measure that integrates much of the peri-operative patient journey. However, the minimal difference in DAH30 that is clinically important to patients is unknown. We designed and administered a 28-item survey to evaluate the minimal clinically important difference in DAH30 among adult patients undergoing inpatient surgery. Patients were approached pre-operatively or within 2 days postoperatively. We did not study patients undergoing day surgery or nursing home residents. Patients ranked their opinions on the importance of discharge home using a Likert scale (from 1, not important at all to 6, extremely important) and the minimum number of extra days at home that would be meaningful using this scale. We recruited 104 patients; the survey was administered pre-operatively to 45 patients and postoperatively to 59 patients. The mean (SD) age was 53.5 (16.5) years, and 51 (49%) patients were male. Patients underwent a broad range of surgery of mainly intermediate (55%) to major (33%) severity. The median minimal clinically important difference for DAH30 was 3 days; this was consistent across a broad range of scenarios, including earlier discharge home, complications delaying hospital discharge and the requirement for admission to a rehabilitation unit. Discharge home earlier than anticipated and discharge home rather than to a rehabilitation facility were both rated as important (median score = 5). Empirical data on the minimal clinically important difference for DAH30 may be useful to determine sample size and to guide the non-inferiority margin for future clinical trials.

Safety of day-case paediatric tonsillectomy in England: an analysis of administrative data for the Getting It Right First Time programme.

We used the Hospital Episodes Statistics database to investigate unwarranted variation in the rates Trusts discharged children the same day after scheduled tonsillectomy and associations with adverse postoperative outcomes. We included children aged 2-18 years who underwent tonsillectomy between 1 April 2014 and 31 March 2019. We stratified analyses by category of Trust, non-specialist or specialist, defined as without or with paediatric critical care facilities, respectively. We adjusted analyses for age, sex, year of surgery and aspects of presentation and procedure type. Of 101,180 children who underwent tonsillectomy at non-specialist Trusts, 62,926 (62%) were discharged the same day, compared with 24,138/48,755 (50%) at specialist Trusts. The adjusted proportion of children discharged the same day as tonsillectomy ranged from 5% to 100% at non-specialist Trusts and 9% to 88% at specialist Trusts. Same-day discharge was not independently associated with an increased rate of 30-day emergency re-admission at non-specialist Trusts but was associated with a modest rate increase at specialist Trusts; adjusted probability 8.0% vs 7.7%, odds ratio (95%CI) 1.14 (1.05-1.24). Rates of adverse postoperative outcomes were similar for Trusts that discharged >70% children the same day as tonsillectomy compared with Trusts that discharged <50% children the same day, for both non-specialist and specialist Trust categories. We found no consistent evidence that day-case tonsillectomy is associated with poorer outcomes. All Trusts, but particularly specialist centres, should explore reasons for low day-case rates and should aim for rates >70%.

Addressing Transportation Insecurity Improves Attendance at Posthospitalization Appointments.

BACKGROUND: Transportation influences attendance at posthospitalization appointments (PHAs). In 2017, our pediatric hospital medicine group found that our patients missed 38% of their scheduled PHAs, with several being due to transportation insecurity. To address this, we implemented a quality improvement project to perform inpatient assessment of transportation insecurity and provide mitigation with the goal of improving attendance at PHAs. METHODS: The process measure was the percentage of patients with completed transportation insecurity screening, and the outcome measure was PHA attendance. An interprofessional team performed plan-do-study-act cycles. These included educating staff about the significance of transportation insecurity, its assessment, and documentation; embedding a list of local transportation resources in discharge instructions and coaching families on using these resources; notifying primary care providers of families with transportation insecurity; and auditing PHA attendance. RESULTS: Between July 2018 and December 2019, electronic health record documentation of transportation insecurity assessment among patients on the pediatric hospital medicine service and discharged from the hospital (n = 1731) increased from 1% to 94%, families identified with transportation insecurity increased from 1.2% to 5%, and attendance at PHAs improved for all patients (62%-81%) and for those with transportation insecurity (0%-57%). Our balance measure, proportion of discharges by 2 pm, remained steady at 53%. Plan-do-study-act cycles revealed that emphasizing PHA importance, educating staff about transportation insecurity, and helping families identify and learn to use transportation resources all contributed to improvement. CONCLUSIONS: Interventions implemented during the inpatient stay to assess for and mitigate transportation insecurity led to improvement in pediatric PHA attendance.

Improving the Pediatric Floor Discharge Process Following Tonsillectomy.

OBJECTIVES/HYPOTHESIS: Over 300,000 tonsillectomies are performed nationwide every year. In 2017, half of children undergoing tonsillectomy at our institution were admitted to the pediatric floor, with only 10.4% being discharged before 11 AM on postoperative day 1 (POD1). Our primary objective was to increase the percentage of patients discharged before 11 AM on POD1 to at least 50% within 1 year. STUDY DESIGN: Prospective observational (quality improvement). METHODS: A multidisciplinary quality improvement (QI) team was assembled. The primary outcome was "timely discharges," defined as percentage of patients discharged before 11 AM on POD1; secondary outcomes were percentage of patients discharged before 1 PM and mean length of stay (hours). Seven-day readmission rate served as our balancing measure. Prior year data served as baseline. A process map, Ishikawa diagram, and Pareto chart were utilized to identify specific target areas for improvement. Key interventions included announcement of our initiative, an electronic health record-based handoff text prompt, discharge checklist, automated discharge instructions, encouragement to place discharge orders by 9 AM and implementation of early POD1 rounds. Data were collected on a biweekly basis and the primary and secondary outcomes were plotted on control charts and analyzed using rules for special cause variation. RESULTS: Within 12 months, POD1 discharges before 11 AM and before 1 PM increased to 44.9% and 83.8%, respectively, with sustained improvement for the first 6 months of the subsequent year. Mean length of stay decreased, and 7-day readmission rates were unchanged. CONCLUSIONS: By understanding the factors influencing timely POD1 discharges after tonsillectomy, key interventions were implemented to achieve an increase in timely discharges. LEVEL OF EVIDENCE: 3 Laryngoscope, 132:225-233, 2022.

Effect of electronic medication reconciliation at the time of hospital discharge on inappropriate medication use in the community: an interrupted time-series analysis.

BACKGROUND: It is unclear if enhanced electronic medication reconciliation systems can reduce inappropriate medication use and improve patient care. We evaluated trends in potentially inappropriate medication use after hospital discharge before and after adoption of an electronic medication reconciliation system. METHODS: We conducted an interrupted time-series analysis in 3 tertiary care hospitals in London, Ontario, using linked health care data (2011-2019). We included patients aged 66 years and older who were discharged from hospital. Starting between Apr. 13 and May 21, 2014, physicians were required to complete an electronic medication reconciliation module for each discharged patient. As a process outcome, we evaluated the proportion of patients who continued to receive a benzodiazepine, antipsychotic or gastric acid suppressant as an outpatient when these medications were first started during the hospital stay. The clinical outcome was a return to hospital within 90 days of discharge with a fall or fracture among patients who received a new benzodiazepine or antipsychotic during their hospital stay. We used segmented linear regression for the analysis. RESULTS: We identified 15 932 patients with a total of 18 405 hospital discharge episodes. Before the implementation of the electronic medication reconciliation system, 16.3% of patients received a prescription for a benzodiazepine, antipsychotic or gastric acid suppressant after their hospital stay. After implementation, there was a significant and immediate 7.0% absolute decline in this proportion (95% confidence interval [CI] 4.5% to 9.5%). Before implementation, 4.1% of discharged patients who newly received a benzodiazepine or antipsychotic returned to hospital with a fracture or fall within 90 days. After implementation, there was a significant and immediate 2.3% absolute decline in this outcome (95% CI 0.3% to 4.3%). INTERPRETATION: Implementation of an electronic medication reconciliation system in 3 tertiary care hospitals reduced potentially inappropriate medication use and associated adverse events when patients transitioned back to the community. Enhanced electronic medication reconciliation systems may allow other hospitals to improve patient safety.

A register-based study comparing planned rehabilitation following acute stroke in 2011 and 2017.

This cross-sectional, register-based study aimed to explore patterns of planned rehabilitation at discharge from stroke units in Sweden in 2011 and 2017 and identify explanatory variables for planned rehabilitation. Multivariable binary logistic regression was used to identify variables that could explain planned rehabilitation. There were 19,158 patients in 2011 and 16,508 patients in 2017 with stroke, included in the study. In 2011, 57% of patients were planned for some form of rehabilitation at discharge from stroke unit, which increased to 72% in 2017 (p < 0.001). Patients with impaired consciousness at admission had increased odds for planned rehabilitation (hemorrhage 2011 OR 1.43, 95% CI 1.13-1.81, 2017 OR 1.66, 95% CI 1.20-2.32), (IS 2011 OR 1.21, 95% CI 1.08-1.34, 2017 OR 1.49, 95% CI 1.28-1.75). Admission to a community hospital (hemorrhage 2011 OR 0.56, 95% CI 0.43-0.74, 2017 OR 0.39, 95% CI 0.27-0.56) (IS 2011 OR 0.63, 95% CI 0.58-0.69, 2017 OR 0.54, 95% CI 0.49-0.61) or to a specialized non-university hospital (hemorrhage 2017 OR 0.66, 95% CI 0.46-0.94), (IS 2011 OR 0.90, 95% CI 0.82-0.98, 2017 OR 0.76, 95% CI 0.68-0.84) was associated with decreased odds of receiving planned rehabilitation compared to admission to a university hospital. As a conclusion severe stroke was associated with increased odds for planned rehabilitation and patients discharged from non-university hospitals had consistently decreased odds for planned rehabilitation.

Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge.

BACKGROUND: Delays in patient flow and a shortage of hospital beds are commonplace in hospitals during periods of increased infection incidence, such as seasonal influenza and the COVID-19 pandemic. The objective of this study was to develop and evaluate the efficacy of machine learning methods at identifying and ranking the real-time readiness of individual patients for discharge, with the goal of improving patient flow within hospitals during periods of crisis. METHODS AND PERFORMANCE: Electronic Health Record data from Oxford University Hospitals was used to train independent models to classify and rank patients' real-time readiness for discharge within 24 hours, for patient subsets according to the nature of their admission (planned or emergency) and the number of days elapsed since their admission. A strategy for the use of the models' inference is proposed, by which the model makes predictions for all patients in hospital and ranks them in order of likelihood of discharge within the following 24 hours. The 20% of patients with the highest ranking are considered as candidates for discharge and would therefore expect to have a further screening by a clinician to confirm whether they are ready for discharge or not. Performance was evaluated in terms of positive predictive value (PPV), i.e., the proportion of these patients who would have been correctly deemed as 'ready for discharge' after having the second screening by a clinician. Performance was high for patients on their first day of admission (PPV = 0.96/0.94 for planned/emergency patients respectively) but dropped for patients further into a longer admission (PPV = 0.66/0.71 for planned/emergency patients still in hospital after 7 days). CONCLUSION: We demonstrate the efficacy of machine learning methods at making operationally focused, next-day discharge readiness predictions for all individual patients in hospital at any given moment and propose a strategy for their use within a decision-support tool during crisis periods.

Fragmentation of care in the blunt abdominal trauma patient: Capturing our true outcomes and impact on care.

BACKGROUND: Trauma care is associated with unplanned readmissions, which may occur at facilities other than the index treatment facility. This "fragmentation of care" may be associated with adverse outcomes. We evaluated a statewide database that includes readmissions to analyze the incidence and impact of FC. METHODS: The California Office of Statewide Health Planning and Development patient discharge data set was evaluated for calendar years 2016 to 2018. Patients 15 years or older diagnosed with blunt abdominal solid organ injury during the index admission were identified. Readmissions were evaluated postdischarge at 1, 3, and 6 months. Patients readmitted within 6 months to a facility other than the index admission facility (fragmented care [FC]) were compared with those readmitted to their index admission facility (non-FC). Logistic regression modeling was used to evaluate risk of FC. RESULTS: Of the total 1,580 patients, there were 752 FC (47.6%) and 828 (52.4%) non-FC. Readmissions representing FC at months 1, 3, and 6 were 40.3%, 49.3%, and 53.4%, respectively. At index admission, the groups were demographically and clinically similar, with similar rates of abdominal operations and complications. Non-FC patients had a higher rate of abdominal reoperation at readmission (5.8% non-FC vs. 2.9% FC, p = 0.006). In an adjusted model, multiple readmissions (odds ratio [OR] 1.11, p = 0.014), readmission >30 days after index facility discharge (OR, 1.98; p < 0.001), and discharge to a nonmedical facility (OR, 2.46; p < 0.0001) were associated with increased odds of FC. Operative intervention at index admission was associated with lower odds of FC (OR, 0.77; p = 0.039). However, FC was not independently associated with demographic or insurance characteristics. CONCLUSION: The rate of FC among patients with blunt abdominal injury is high. The risk of FC is mitigated when patients are managed operatively during the index admission. Trauma systems should implement measures to ensure that these patients are followed postdischarge. LEVEL OF EVIDENCE: Prognostic and epidemiological, level III; Care management, level IV.

Does information structuring improve recall of discharge information? A cluster randomized clinical trial.

OBJECTIVES: The impact of the quality of discharge communication between physicians and their patients is critical on patients' health outcomes. Nevertheless, low recall of information given to patients at discharge from emergency departments (EDs) is a well-documented problem. Therefore, we investigated the outcomes and related benefits of two different communication strategies: Physicians were instructed to either use empathy (E) or information structuring (S) skills hypothesizing superior recall by patients in the S group. METHODS: For the direct comparison of two communication strategies at discharge, physicians were cluster-randomized to an E or a S skills training. Feasibility was measured by training completion rates. Outcomes were measured in patients immediately after discharge, after 7, and 30 days. Primary outcome was patients' immediate recall of discharge information. Secondary outcomes were feasibility of training implementation, patients' adherence to recommendations and satisfaction, as well as the patient-physician relationship. RESULTS: Of 117 eligible physicians, 80 (68.4%) completed the training. Out of 256 patients randomized to one of the two training groups (E: 146 and S: 119) 196 completed the post-discharge assessment. Patients' immediate recall of discharge information was superior in patients in the S-group vs. E-group. Patients in the S-group adhered to more recommendations within 30 days (p = .002), and were more likely to recommend the physician to family and friends (p = .021). No differences were found on other assessed outcome domains. CONCLUSIONS AND PRACTICE IMPLICATIONS: Immediate recall and subsequent adherence to recommendations were higher in the S group. Feasibility was shown by a 69.6% completion rate of trainings. Thus, trainings of discharge information structuring are feasible and improve patients' recall, and may therefore improve quality of care in the ED.

Intensification of Diabetes Medications at Hospital Discharge and Clinical Outcomes in Older Adults in the Veterans Administration Health System.

Importance: Transient elevations of blood glucose levels are common in hospitalized older adults with diabetes and may lead clinicians to discharge patients with more intensive diabetes medications than they were using before hospitalization. Objective: To investigate outcomes associated with intensification of outpatient diabetes medications at discharge. Design, Setting, and Participants: This retrospective cohort study assessed patients 65 years and older with diabetes not taking insulin who were hospitalized in the Veterans Health Administration Health System between January 1, 2011, and September 28, 2016, for common medical conditions. Data analysis was performed from January 1, 2020, to March 31, 2021. Exposure: Discharge with intensified diabetes medications, defined as filling a prescription at hospital discharge for a new or higher-dose medication than was being used before hospitalization. Propensity scores were used to construct a matched cohort of patients who did and did not receive diabetes medication intensifications. Main Outcomes and Measures: Coprimary outcomes of severe hypoglycemia and severe hyperglycemia were assessed at 30 and 365 days using competing risk regressions. Secondary outcomes included all-cause readmissions, mortality, change in hemoglobin A1c (HbA1c) level, and persistent use of intensified medications at 1 year after discharge. Results: The propensity-matched cohort included 5296 older adults with diabetes (mean [SD] age, 73.7 [7.7] years; 5212 [98.4%] male; and 867 [16.4%] Black, 47 [0.9%] Hispanic, 4138 [78.1%] White), equally split between those who did and did not receive diabetes medication intensifications at hospital discharge. Within 30 days, patients who received medication intensifications had a higher risk of severe hypoglycemia (hazard ratio [HR], 2.17; 95% CI, 1.10-4.28), no difference in risk of severe hyperglycemia (HR, 1.00; 95% CI, 0.33-3.08), and a lower risk of death (HR, 0.55; 95% CI, 0.33-0.92). At 1 year, no differences were found in the risk of severe hypoglycemia events, severe hyperglycemia events, or death and no difference in change in HbA1c level was found among those who did vs did not receive intensifications (mean postdischarge HbA1c, 7.72% vs 7.70%; difference-in-differences, 0.02%; 95% CI, -0.12% to 0.16%). At 1 year, 48.0% (591 of 1231) of new oral diabetes medications and 38.5% (548 of 1423) of new insulin prescriptions filled at discharge were no longer being filled. Conclusions and Relevance: In this national cohort study, among older adults hospitalized for common medical conditions, discharge with intensified diabetes medications was associated with an increased short-term risk of severe hypoglycemia events but was not associated with reduced severe hyperglycemia events or improve HbA1c control. These findings indicate that short-term hospitalization may not be an effective time to intervene in long-term diabetes management.