Unplanned Readmission Research Articles

Dynamic Control of Service Systems with Returns: Application to Design of Postdischarge Hospital Readmission Prevention Programs

Dynamic Control of Service Systems with Returns Postdischarge interventions (e.g., follow-up phone calls, outpatient appointments) are commonly used to reduce unplanned hospital readmissions. Such interventions have been shown to be effective (to varying degrees) in reducing the probability of readmission (or return). The interventions are, however, costly, and hence, their benefits need to be carefully balanced with the costs. In “Dynamic Control of Service Systems with Returns: Application to Design of Postdischarge Hospital Readmission Prevention Programs,” Chan, Huang, and Sarhangian investigate how postservice interventions should be dynamically allocated, accounting for their costs as well as their benefits in terms of reducing returns and congestion costs. To this end, they study a transient queueing control problem and examine the structure of the optimal policy by analyzing associated fluid-control problems. The structural results motivate the design of intuitive surge protocols whereby different intensities of interventions are provided based on the congestion level of the system.

Association Between Modified Frailty Index and Postoperative Outcomes of Cricopharyngeal Myotomy.

The modified 5-item frailty index (mFI-5) is a comorbidity-based risk stratification tool previously validated in patients undergoing several surgical procedures. This study investigates the association between mFI-5 score and cricopharyngeal myotomy (CM) complications. Retrospective database review. US hospitals. The National Surgical Quality Improvement Program database was queried for patients who underwent CM between 2005 and 2018. mFI-5 score was determined by assigning 1 point for comorbidities including: diabetes mellitus, hypertension, congestive heart failure, chronic obstructive pulmonary disease, and dependent health status. Univariate and multivariable analyses were conducted to determine associations between mFI-5 score and postoperative complications. A total of 1075 patients undergoing CMs were queried and stratified into the following groups: mFI = 0 (n = 412 [38.3%]), mFI = 1 (n = 452 [42.0%]), and mFI ≥ 2 (n = 211 [19.6%]). Univariate analysis showed association between higher mFI-5 scores with older age, higher American Society of Anesthesiologists Classification class, obesity, smoking, dyspnea, and systemic sepsis. Higher mFI-5 was associated with a greater proportion of cumulative surgical complications, cumulative medical complications, pneumonia, myocardial infarction, cumulative morbidity, readmissions, unplanned readmissions, and reoperations. Multivariable analyses found associations between greater mFI-5 score and cumulative morbidity (odds ratio [OR] = 1.95, confidence interval [CI]: 1.29-2.96, P = .002), any surgical complication (OR = 1.80, CI: 1.15-2.79, P = .010), readmission (OR = 1.81, CI: 1.01-3.26, P = .047), and reoperations (OR = 1.96, CI: 1.04-3.68, P = .037). Evaluating mFI-5 can help assess the risk of postoperative complications for patients undergoing CM. Level 4.

Nursing Variables Predicting Readmissions in Patients With a High Risk: A Scoping Review.

Unplanned readmission endangers patient safety and increases unnecessary healthcare expenditure. Identifying nursing variables that predict patient readmissions can aid nurses in providing timely nursing interventions that help patients avoid readmission after discharge. We aimed to provide an overview of the nursing variables predicting readmission of patients with a high risk. The authors searched five databases-PubMed, CINAHL, EMBASE, Cochrane Library, and Scopus-for publications from inception to April 2023. Search terms included "readmission" and "nursing records." Eight studies were included for review. Nursing variables were classified into three categories-specifically, nursing assessment, nursing diagnosis, and nursing intervention. The nursing assessment category comprised 75% of the nursing variables; the proportions of the nursing diagnosis (25%) and nursing intervention categories (12.5%) were relatively low. Although most variables of the nursing assessment category focused on the patients' physical aspect, emotional and social aspects were also considered. This study demonstrated how nursing care contributes to patients' adverse outcomes. The findings can assist nurses in identifying the essential nursing assessment, diagnosis, and interventions, which should be provided from the time of patients' admission. This can mitigate preventable readmissions of patients with a high risk and facilitate their safe transition from an acute care setting to the community.

Implications of surgical infection on surgical and hospital outcomes after spine surgery: A NSQIP study of 410,930 patients

Study designRetrospective cohort study. ObjectivesSurgical infections are unfortunately a fairly common occurrence in spine surgery, with rates reported as high as 16 %. However, there is a relative paucity of studies that look to understand how surgical infections may impact outcome variables. The aim of this study was to assess the impact of surgical infection on other perioperative complications, extended hospital length of stay (LOS), discharge disposition, and unplanned readmission following spine surgery. MethodsA retrospective cohort study was performed using the 2016–2022 ACS NSQIP database. Adults receiving spine surgery for trauma, degenerative disease, and tumors were identified using CPT and ICD-9/10 codes. Patients were divided into two cohorts: surgical infection (superficial surgical site infection, deep surgical site infection, organ space surgical site infection, or wound dehiscence) and no surgical infection (those who did not experience any infection). Patient demographics, comorbidities, intraoperative variables, postoperative adverse events (AEs), and healthcare resource utilization were assessed. Multivariate logistic regression analysis was utilized to identify predictors of AEs, extended hospital length of stay, non-routine discharge, and unplanned readmission. ResultsIn our cohort of 410,930 patients, 7854 (2.2 %) were found to have experienced a surgical infection. Regarding preoperative variables, a greater proportion of the surgical infection cohort was a female (p < 0.001) and had a higher mean BMI (p < 0.001), greater frailty and ASA scores (p < 0.001), and higher rates of all presenting comorbidities included in the study. Rates of AEs (p < 0.001), unplanned readmission (p < 0.001), reoperation (p < 0.001), non-home discharge (p < 0.001), and 30-day mortality were all greater in the surgical infection group when compared to the group without surgical infection. On multivariate analysis, surgical infection was found to be an independent predictor of experiencing postoperative complications [aOR: 6.15, 95 % CI: (5.72, 6.60), p < 0.001], prolonged LOS [2.71, 95 % CI: (2.54, 2.89), p < 0.001], non-routine discharge [aOR: 1.74, 95 % CI: (1.61, 1.88), p < 0.001], and unplanned readmission [aOR: 22.57, 95 % CI: (21.06, 24.19), p < 0.001]. ConclusionsOur study found that surgical infection increases the risk of complications, extended LOS, non-routine discharge, and unplanned readmission. Such findings warrant further studies that aim to validate these results and identify risk factors for surgical infections.

Readmissions at 30 Days and 1 Year for Implant-Associated Complications Following Primary Total Hip and Knee Arthroplasty: A Population-Based Study of 34,392 Patients Across Austria

BackgroundThe primary aim of this study was to assess 30-day and 1-year rates for unplanned readmission due to implant-associated complications following total hip (THA) or total knee arthroplasty (TKA) in Austria. Secondary endpoints were reasons for readmission and differences in revision risk depending on demographics and hospital size. MethodsData on patients receiving THA (n = 18,508) or TKA (n = 15,884) in orthopaedic and trauma units across Austria within a 1-year period (January 2021 to December 2021) were retrieved from a government-maintained database. The absolute and relative frequencies of unplanned readmissions were calculated. Risk factors for 30-day and 1-year readmission following THA or TKA due to implant-associated complications were investigated. ResultsThe 30-day and 1-year readmission rates for any implant-associated complication were 1.0% (339 of 34,392) and 3.0% (1,024 of 34,392), respectively. Relative to the overall readmission rate for any complication at 30 days (n = 1,952) and 1 year (n = 12,109), readmission rates for implant-associated complications were 17.4 and 8.5%, respectively. The 30-day readmission rates were higher in THA (1.2%) than TKA patients (0.8%; P = 0.001), while it was the opposite at 1 year (THA, 2.7%; TKA, 3.3%; P < 0.001). Mechanical complications (554 of 1,024) were the most common reason for 1-year readmission. Prolonged length of in-hospital stay independently associated with increased 1-year readmission risk in THA and TKA patients. Treatment at large-sized hospitals was associated with a higher 1-year readmission risk in TKA patients. ConclusionsThe 30-day and 1-year readmission rates for implant-associated complications following THA or TKA in Austria are lower than reported in other countries, with similar risk factors and reasons for readmission. Considering that almost 20% of unplanned hospital readmissions following total joint arthroplasty are attributable to implant-associated complications, optimization of in-hospital and postdischarge medical care for these patients is warranted.

The modified 5-item frailty index as a predictor of perioperative risk in patients undergoing percutaneous nephrolithotomy.

The modified 5-item frailty index is a relatively new tool to assess the post-operative complication risks. In urology, there is limited literature on the impact of frailty on percutaneous nephrolithotomy (PCNL) outcomes. We aimed to compare the predictive value of the modified 5-item frailty index (mFI-5) to identify high risk patients prior to PCNL. A database of patients undergoing PCNL, between 2015 and 2022, was analyzed. Patient frailty was assessed using the mFI-5 index. The mFI-5 index was calculated based on the presence of the five co-morbidities: congestive heart failure within 30days prior to surgery, diabetes mellitus, chronic obstructive pulmonary disease, partially dependent or totally dependent functional health status at time of surgery, and hypertension requiring medication. Patients were grouped as not frail (mFI-5 = 0), intermediate (mFI-5 = 1), and severely frail (mFI-5 ≥ 2). Primary outcomes were 30-day postoperative complications. Secondary outcomes were hospitalization: total hospital length of stay, reoperation, and unplanned readmission. From a total of 320 PCNL patients included for analysis, 54.06% (n = 173) were not frail, 17.81% (n = 57) were intermediate, and 28.12% (n = 90) were severely frail. Frail patients were likely to be older (p = 0.002) and have a higher American Society of Anesthesiologists score (p = 0.001), chronic kidney disease (p < 0.001). Patients of intermediate or severe frailty were more likely to exhibit postoperative sepsis (p = 0.042), significant blood loss (p = 0.036) and require intensive care units admissions (p = 0.0015). Frail patients had a longer hospital length of stay (p < 0.001) and tended to require reoperation (p = 0.001), and unplanned readmission (p = 0.02). Frailty assessment appears useful in stratifying those at risk of extended hospitalization, septic and hemorrhagic complications, readmission, or reoperation after PCNL. Preoperative assessment of frailty phenotype may give insight into treatment decisions and assist surgeons in counselling patients on expected course and hospital stay following PCNL.

Impact of neoadjuvant immunotherapy on postoperative complications after surgery for rectal cancer.

Despite the increasing use of immunotherapy in treating various cancer types, there is still limited understanding of its impact on surgical complications. We used a national database to examine the difference in surgical outcomes for rectal cancer patients who received standard neoadjuvant chemoradiation plus neoadjuvant immunotherapy and patients who received neoadjuvant chemoradiation only. This retrospective cohort study used the National Cancer Database (NCDB). We selected patients aged 18-90 with T1-3, N1-2, and M0 rectal cancer who underwent curative-intent surgery between 2010 and 2020. We performed a 1:1 propensity match to control for patient age, sex, Charlson-Deyo comorbidity index, surgical approach, and tumor site. Our primary outcome was difference in surgical outcomes (hospital length of stay, unplanned 30-day readmission, 30-day mortality) between the two groups. Secondary outcomes included days from diagnosis to surgery and pathologic outcomes. Our study included 26 229 patients, of which 126 received immunotherapy in addition to chemoradiation and 26 103 received only chemoradiation. In our matched population of 125 pairs of patients, patients who received immunotherapy and chemoradiation underwent surgery later compared to patients who only received chemoradiation (median 245 vs. 144 days, p < 0.001). There were no significant differences in median length of stay (5 vs. 5 days, p = 0.202), unplanned 30-day readmission (7 vs. 9, p = 0.617), and 30-day mortality (0 vs. 1, p = 1.000) between the two groups. Neoadjuvant immunotherapy for rectal cancer is not associated with adverse surgical outcomes. This work can help clinicians optimize treatment protocols and move closer toward strategies tailored to specific patient profiles.

Impact of Wound Closure Technique on Surgical Site Infection After Lower Extremity Bypass Surgery

Surgical site infections (SSIs) are among the most common complications after lower extremity bypass (LEB). Both patient and hospital-related factors have been associated with SSI after LEB; however, the impact of surgical closure technique on SSI incidence remains unclear. Institutional electronic medical records (EMRs) were retrospectively queried for all LEB procedures performed from 2018 to 2022. Data were collected on patient demographics, medical comorbidities, operative details, wound closure techniques, and postoperative outcomes. Closure techniques included skin staples, absorbable monofilament (Monocryl), nonabsorbable monofilament (Nylon), or left open to heal by secondary intention. Logistic regression analysis was utilized to identify risk factors and calculate adjusted odds ratios (ORs) for postoperative SSI. A total of 517 patients underwent LEB surgery over the study period. SSI was diagnosed in 120 (23.2%) patients over a median follow-up period of 1.5years. The most common SSI locations were groin incision (40.0%), saphenectomy (31.7%), and leg incision (19.2%). The median onset of SSI was 18.5d (interquartile range [IQR] 11-28d) post-LEB surgery. Patients with SSI had higher body mass index (BMI) (28.2 [IQR 24.2-33.5] vs. 26.6 [23.1-31.5] kg/m2, P=0.03) compared with non-SSI patients. Patient age, sex, and medical comorbidities were otherwise similar between groups. There were no differences in closure technique (79.2% vs. 78.1% staples, 18.3% vs. 19.7% Monocryl, 0.8% vs. 1.8% Nylon, 1.7% vs. 0.5% open; P=0.53) in SSI versus non-SSI groups. On multivariate analysis, patient BMI (OR 1.04 per unit, 95% confidence interval [CI] 1.01-1.08, P=0.02), reoperative field (OR 1.81, 95% CI 1.00-3.25, P=0.03), and active smoking (OR 2.72, 95% CI 1.12-6.59, P=0.048) were independently associated with increased SSI incidence. Postoperative SSI resulted in prolonged hospital length of stay (LOS) (7 vs. 6days, P=0.04), unplanned hospital readmission (49.2% vs. 12.3%, P<0.001), and reoperation rates (64.7% vs. 8.1%, P<0.001). Bypass graft infection rates were also higher among patients suffering postoperative SSI (9.2% vs. 0.0%, P<0.001). On subset analysis of patients at increased risk of postoperative SSI, as found on multivariate modeling, there were no differences in closure technique between SSI and no SSI groups. This study provides insights on wound closure techniques and postoperative SSI made available through granular, operative data that are not found in large database analyses. Surgical wound closure technique was not associated with postoperative SSI after LEB surgery, even among patients at increased risk of infection. These data support individualization of wound closure techniques among patients undergoing LEB surgery.

Health-related quality of life is a predictor of readmission following emergency laparotomy.

Health-related quality of life (HRQoL) is a multidimensional concept used to examine the impact of patient-perceived health status on quality of life. Patients' perception of illness affects outcomes in both medical and elective surgical patients; however, not much is known about how HRQoL effects outcomes in the emergency surgical setting. This study aimed to examine if patient-reported HRQoL was a predictor of unplanned readmission after emergency laparotomy. This study included 215 patients who underwent emergency laparotomy at the Copenhagen University Hospital, Herlev, between August 1, 2021, and July 31, 2022. Patient-reported HRQoL was assessed with the EuroQol group EQ5D index (EQ5D5L descriptive system and EQ-VAS). The population was followed from 0 to 180days after discharge, and readmissions and days alive and out of hospital were registered. A Cox proportional hazard model was used to examine HRQoL and the risk of readmission within 30 and 180days. Within 30days, 28.4% of patients were readmitted; within 180days, the number accumulated to 45.1%. Low self-evaluated HRQoL predicted 180-day readmission and was significantly associated with fewer days out of hospital within both 90 and 180days. Low HRQoL and discharge with rehabilitation were independent risk factors for short- (30-day) and long-term (180-day) emergency readmission. Patient-perceived quality of life is an independent predictor of 180-day readmission, and the number of days out of hospital was correlated to self-reported HRQoL.

Operative Timing for Elective Thoracoscopic Lobectomy for CPAM and Sequestration: A NSQIP-Pediatric Analysis 2017–2021

BackgroundThere is limited literature on optimal timing for elective thoracoscopic lobectomy for congenital pulmonary airway malformations (CPAM) and sequestration. Using NSQIP-P, we aim to assess optimal operative timing for elective thoracoscopic lobectomy for CPAM and sequestration. MethodsData from the NSQIP-Pediatric registry was used to evaluate elective thoracoscopic lobectomy patients from 2017 to 2021 diagnosed with congenital pulmonary airway malformation or sequestration. Open lobectomy, ventilator dependent, oxygen dependent, and patients <1 month old were excluded. Clinical characteristics and outcomes were compared for age cohorts (in months): 1–3, 3–6, 6–9, 9–12, 12–24, and 24+. ResultsThere were 717 patients identified. Operative time significantly increased with age from 1 to 3 months to the 24+ month cohort (164.9 min–221.7 min, p = 0.014). Rates of conversion to open were 7.4% vs 21.8%, p = 0.181 in these age groups, respectively. Though not statistically significant, 14.8% of patients at 1–3 months had transfusion events reported compared to 6.4% at 3–6 months and 1.3% at 24+ months (p = 0.067). There were no significant differences between age groups for 30-day unplanned readmission, reoperation, non-transfusion complications, all complications, or mortality. ConclusionOptimal surgical timing for thoracoscopic lobectomy for CPAM and sequestration is complex. Surgery at younger ages is associated with significantly shorter operative times; however, a greater powered study is needed to further assess the conversion to open rate in patients >3 months and the bleeding/transfusion rate in patients <3 months of age. Level of Evidence (I-V)Level III.

Protocol for a feasibility registry-based randomised controlled trial investigating a tailored follow-up service for stroke (A-LISTS)

BackgroundStroke affects long-term physical and cognitive function; many survivors report unmet health needs, such as pain or depression. A hospital-led follow-up service designed to address ongoing health problems may avoid unplanned readmissions and improve quality of life.MethodsThis paper outlines the protocol for a registry-based, randomised controlled trial with allocation concealment of participants and outcome assessors. Based on an intention-to-treat analysis, we will evaluate the feasibility, acceptability, potential effectiveness and cost implications of a new tailored, codesigned, hospital-led follow-up service for people within 6–12 months of stroke. Participants (n = 100) from the Australian Stroke Clinical Registry who report extreme health problems on the EuroQol EQ-5D-3L survey between 90 and 180 days after stroke will be randomly assigned (1:1) to intervention (follow-up service) or control (usual care) groups. All participants will be independently assessed at baseline and 12–14-week post-randomisation. Primary outcomes for feasibility are the proportion of participants completing the trial and for intervention participants the proportion that received follow-up services. Acceptability is satisfaction of clinicians and participants involved in the intervention. Secondary outcomes include effectiveness: change in extreme health problems (EQ-5D-3L), unmet needs (Longer-term Unmet Needs questionnaire), unplanned presentations and hospital readmission, functional independence (modified Rankin Scale) and cost implications estimated from self-reported health service utilisation and productivity (e.g. workforce participation). To inform future research or implementation, the design contains a process evaluation including clinical protocol fidelity and an economic evaluation.DiscussionThe results of this study will provide improved knowledge of service design and implementation barriers and facilitators and associated costs and resource implications to inform a future fully powered effectiveness trial of the intervention.Trial registrationACTRN12622001015730pr.Trial sponsorFlorey Institute of Neuroscience and Mental Health, 245 Burgundy Street, Heidelberg, VIC, 3084, PH: +61 3 9035 7032

Quality performance indicators for oesophageal and gastric cancer: ANZ expert Delphi consensus.

Quality performance indicators for the management of oesophagogastric cancer can be used to objectively measure and compare the performance of individual units and capture key elements of patient care to improve patient outcomes. Two systematic reviews were completed to identify evidence-based quality performance indicators for the surgical management of oesophagogastric cancer. Based on the indicators identified, a two-round modified Delphi process with invitations was sent to all members of the Australia and Aotearoa New Zealand Gastric and Oesophageal Surgery Association. The expert working group discussed each suggested indicator and either removed, added, or adjusted the list of indicators of oesophagogastric cancer. The final list of both OG cancer indicators included Specialized Multi-disciplinary team discussion, Endoscopy documentation, Staging Contrast CT Chest/Abdomen and Pelvis, Neoadjuvant or Adjuvant chemo/radiotherapy administered in accordance with the Local multi-disciplinary team, Pathological margin clearance (R0 Resection), Lymphadenectomy retrieving 15 or more nodes, Formal review of pathological findings and documentation, Postoperative complications, 30-day and 90-day postoperative mortality, clinical surveillance and Specialized Dietetic guidance. Indicators specific to gastric cancer included Preoperative biopsy for pathological diagnosis and Staging Laparoscopy. Indicators specific to oesophageal cancer include positron emission tomography scan if CT negative for metastasis, Perioperative Oesophagectomy Care Pathway, length of stay of 21 days or more, and Unplanned readmission within 30 days. The results of this study present a core set of indicators for the surgical management of oesophagogastric cancer that can be used to measure quality and compare performance between different units.

Identifying Frailty Using Point-of-Care Ultrasonography: Image Acquisition and Assessment.

Frailty is a significant predictor of a range of adverse outcomes in surgical patients, including increased mechanical ventilation time, longer hospital stays, unplanned readmissions, stroke, delirium, and death. However, accessible tools for screening in clinical settings are limited. Computed tomography of the psoas muscle is the current standard imaging device for measuring frailty, but it is expensive, time-consuming, and exposes the patient to ionizing radiation. Recently, the use of point-of-care ultrasound (POCUS) has emerged as a potential tool to determine the presence of frailty and has been shown to accurately predict frailty and postoperative outcomes. In this article, we will describe the image acquisition of the quadriceps muscles and explain how they can be used to determine frailty and predict postoperative adverse events. We will present information on probe selection, patient positioning, and troubleshooting. Images from a demonstration will be used to present the POCUS technique and example results. The article will culminate in a discussion of the use of these images in medical decision-making and potential limitations.

Validity of different algorithmic methods to identify hospital readmissions from routinely coded medical data.

Hospital readmission rates are used for quality and pay-for-performance initiatives. To identify readmissions from administrative data, two commonly employed methods are focusing either on unplanned readmissions (used by the Centers for Medicare & Medicaid Services, CMS) or potentially avoidable readmissions (used by commercial vendors such as SQLape or 3 M). However, it is not known which of these methods has higher criterion validity and can more accurately identify actuallyavoidable readmissions. A manual record review based on data from seven hospitals was used to compare the validity of the methods by CMS and SQLape. Seven independent reviewers reviewed 738 single inpatient stays. The sensitivity, specificity, positive predictive value (PPV), and F1 score were examined to characterize the ability of an original CMS method, an adapted version of the CMS method, and the SQLape method to identify unplanned, potentially avoidable, and actually avoidable readmissions. Both versions of the CMS method had greater sensitivity (92/86% vs. 62%) and a higher PPV (84/91% vs. 71%) than the SQLape method, in terms of identifying their outcomes of interest (unplanned vs. potentially avoidable readmissions, respectively). To distinguish actuallyavoidable readmissions, the two versions of the CMS method again displayed higher sensitivity (90/85% vs. 66%), although the PPV did not differ significantly between the different methods. Thus, the CMS method has both higher criterion validity and greater sensitivity for identifying actually avoidable readmissions, compared with the SQLape method. Consequently, the CMS method should primarily be used for quality initiatives.

The incidence and risk factors for unplanned readmission within 90 days after surgical treatment of spinal fractures.

Unplanned readmissions after spine surgery are undesired, and cause significant functional, and financial distress to the patients and healthcare system. Though critical, knowledge about readmissions after surgery for traumatic spinal injuries (TSI) is scarce and under-evaluated. Consecutive patients surgically treated for TSI and who had unplanned readmission within 90 days post-discharge were studied. Peri-operative demographic and surgical variables, surgical treatment, level of injury, delay in surgery, ASIA score, other organ injuries, peri-operative complications, smoking, ICU stay, co-morbidity, and the length of hospital stay were studied and correlated with the causes for readmission. Among 884 patients, 4.98% (n = 44) had unplanned readmissions within 90 days of discharge. Notably, 50% (n = 22) patients were readmitted within the first 30 days. The common causes of readmissions were urinary tract related problems (27%, n = 12), pressure ulcers (20.4%, n = 9), respiratory problems (13.6%, n = 6), surgical wound related problems (14%, n = 7,) limb injuries (11.4%, n = 5), and others (11%, n = 5). The total beds lost secondary to readmissions was 314 days, and the mean bed-days lost per patient was 7.2 ± 5.1. Thirteen peri-operative risk factors were associated with unplanned readmissions, among which, smoking (OR 2.2), diabetes (OR 2.4), and pressure sore during index admission (OR 16.7) were strong independent predictors. The incidence of unplanned readmissions after TSI was 5%, which was similar to elective spine surgeries but the causes and risk factors are different. Non-surgical complications related to urinary tract, respiratory care and pressure sores were the most common causes. Pre-operative smoking status, diabetes mellitus and pressure sores noted in the index admission were important independent risk factors.

The influence of socioeconomic disadvantage on short- and long-term outcomes after oesophagectomy for cancer: an Australian multicentre study.

Socioeconomic status (SES) affects outcomes following surgery for various cancers. There are currently no Australian studies that examine the role of socioeconomic disadvantage on outcomes following oesophagectomy for cancer. This study assessed whether SES was associated with short-term perioperative morbidity, long-term survival, and oncological outcomes following oesophagectomy across three tertiary oesophageal cancer centres in Australia. A retrospective cohort study was performed comprising all patients who underwent oesophagectomy for cancer across three Australian centres. Patients were stratified into SES groups using the Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD). Outcomes measured included perioperative complication rates, overall survival, and disease-free survival. The study cohort was 462 patients, 205 in the lower SES and 257 in the higher SES groups. The lower SES group presented with more advanced oesophageal cancer stage, a higher rate of T3 (52.6% versus 42.7%, P = 0.038) and N2 disease (19.6% versus 10.5%, P = 0.006), and had a higher rate of readmission within 30 days (11.2% versus 5.4%, P = 0.023). There was no difference in overall survival or disease-free survival between groups. Lower socioeconomic status was associated with more advanced stage and increased risk of early, unplanned readmission following oesophagectomy, but was not associated with a difference in overall or disease-free survival.

The Effect of Social Drivers of Health on 90-Day Readmission Rates and Costs After Primary Total Hip and Total Knee Arthroplasty.

The effect of social drivers of health (SDOH) on readmissions and costs after total hip arthroplasty (THA) and total knee arthroplasty (TKA) is poorly understood. Policies such as the Hospital Readmissions Reduction Program have targeted overall readmission reduction, using value-based strategies to improve healthcare quality. However, the implications of SDOH on these outcomes are not yet understood. We hypothesized that the area deprivation index (ADI) as a surrogate for SDOH would markedly influence readmission rates and healthcare costs in the 90-day postprocedural period for THA and TKA. We used the 100% US fee-for-service Medicare claims data from 2019 to 2021. Patients were identified using diagnosis-related groups. Our primary outcomes included 90-day unplanned readmission after hospital discharge and cost of care, treated as "high cost" if > 1 standard deviation above the mean. The relationships between ADI and primary outcomes were estimated with logistic regression models. A total of 628,399 patients were included in this study. The mean age of patients was 75.6, 64% were female, and 7.8% were dually eligible for Medicaid. After full covariate adjustment, readmission was higher for patients in more deprived areas (high Area Deprivation Index (ADI)) (low socioeconomic status (SES) group OR: 1.30 [95% confidence intervals 1.23, 1.38]). ADI was associated with high cost before adjustment (low SES group odds ratio 1.08 [95% confidence intervals 1.04, 1.11], P < 0.001), although, after adjustment, this association was lost. This analysis highlights the effect of SDOH on readmission rates after THA and TKA. A nuanced understanding of neighborhood-level disparities may facilitate targeted strategies to reduce avoidable readmissions in orthopaedic surgery. Regarding cost, although there is some association between ADI and cost, this study may illustrate that ADI for THA and TKA is not sufficiently granular to identify the contribution of social drivers to elevated costs.

Unplanned 30-Day Readmissions After Hospitalization for Irritable Bowel Syndrome.

Background Irritable bowel syndrome (IBS) continues to posesignificant healthcare challengesdue to its broad differential diagnosis and the often extensive yet inconclusive workup. We investigated the rates and characteristics of unplanned 30-day readmissions in adult patients hospitalized with IBS. In addition, weidentified factors that predict readmission within 30 days of initial discharge. Methods We analyzed the 2020 Nationwide Readmission Database. Using the International Classification of Diseases, Tenth Revision, Clinical Modification code, we identified hospitalizations in adult patients with IBS. We excluded hospitalizations for minors and planned or elective readmissions. To compare baseline characteristics between readmissions and index hospitalizations, χ2 tests were employed. We used multivariate Cox regression analyses to identify independent predictors of readmissions. Results A total of 5,729 adult hospitalizations with IBS as the primary diagnosis were discharged alive, and 638(11.1%) readmissions occurred within 30 days. The most common diagnoses associated with readmission were noninfective gastroenteritis and colitis, sepsis, enterocolitis due to Clostridium difficile, and irritable bowel syndrome with or without diarrhea. Patients in readmissions had a mean age of 56.3 years, similar to index hospitalizations (54.5 years, p=0.093). Readmissions had a higher burden of comorbidity (Charlson comorbidity index (CMI) scores ≥3: 26.7%, 170 cases vs. 16.6%, 953 cases;p<0.001) and were mostly Medicare beneficiaries (49.5%, 316% vs. 44.9%, 2,578) compared with index hospitalizations. Readmissions had a longer mean length of stay (LOS) (5.2 vs. 3.6 days, p<0.0001), higher inpatient mortality (0.8%, 5% vs. 0.2%, 11; p=0.032), and higher mean hospital costs ($47,852 vs. $34,592; p<0.0001) compared with index admissions. Secondary diagnoses of ulcerative colitis (adjusted hazard ratio (AHR), 2.82; p<0.0001), interstitial cystitis (AHR, 5.37; p=0.007), peripheral vascular disease (AHR, 1.59; p=0.027), and discharge to short-term hospitals (AHR, 1.03; p<0.0001) were significantly associated with ahigher likelihood of readmission within 30 days. Conclusion IBS readmissions have poorer outcomes than index hospitalizations. Patients with an existing history of ulcerative colitis, interstitial cystitis, and peripheral vascular disease and those discharged to short-term hospitals following index hospitalization are more likely to be readmitted within 30 days.

Perioperative outcomes in patients who undergo neoadjuvant chemoradiotherapy versus chemotherapy versus up-front surgery in patients with oesophageal cancer.

Oesophagectomy is the mainstay of curative treatment for oesophageal cancer. The role of neoadjuvant therapy has evolved over time as evidence for its survival benefit comes to hand. Clinician reluctance to offer patients neoadjuvant therapy may be based on the perception that patients receiving treatment before surgery may be exposed to a greater risk of perioperative complications. The aim of this study was to examine short-term outcomes in patients who undergo neoadjuvant therapy versus up-front surgery in patients with oesophageal cancer. This was a retrospective cohort study of prospectively collated data from 2001 to 2020 of patients undergoing resection for oesophageal cancer. Patients who had neoadjuvant chemoradiotherapy, chemotherapy and up-front surgery were compared for perioperative morbidity (via the Clavien-Dindo classification), length of stay, unplanned readmission, and 30- and 90-day mortality. Logistic regression was performed to predict perioperative morbidity following surgery. In total, 284 patients underwent an oesophagectomy. Most patients received neoadjuvant treatment (41% received chemoradiotherapy (117/284), 33% received chemotherapy (93/284)), and 26% of patients received up-front surgery (74/284). Patients who received neoadjuvant chemoradiotherapy or up-front surgery were more likely to have a complication (57%, 67/117 and 57%, 43/74) than patients who received neoadjuvant chemotherapy only (38%, 35/93, P = 0.009). The 30- and 90-day mortality rates were 1.4% (n = 4) and 2.8% (n = 8), respectively, with no difference between the use of neoadjuvant therapy. In this series, we found that patients who received neoadjuvant treatment could undergo oesophagectomy with curative intent with acceptable postoperative morbidity and mortality.

The impact of discharge letter content on unplanned hospital readmissions within 30 and 90 days in older adults with chronic illness – a mixed methods study

BackgroundCare transitions are high-risk processes, especially for people with complex or chronic illness. Discharge letters are an opportunity to provide written information to improve patients’ self-management after discharge. The aim of this study is to determine the impact of discharge letter content on unplanned hospital readmissions and self-rated quality of care transitions among patients 60 years of age or older with chronic illness.MethodsThe study had a convergent mixed methods design. Patients with chronic obstructive pulmonary disease or congestive heart failure were recruited from two hospitals in Region Stockholm if they were living at home and Swedish-speaking. Patients with dementia or cognitive impairment, or a “do not resuscitate” statement in their medical record were excluded. Discharge letters from 136 patients recruited to a randomised controlled trial were coded using an assessment matrix and deductive content analysis. The assessment matrix was based on a literature review performed to identify key elements in discharge letters that facilitate a safe care transition to home. The coded key elements were transformed into a quantitative variable of “SAFE-D score”. Bivariate correlations between SAFE-D score and quality of care transition as well as unplanned readmissions within 30 and 90 days were calculated. Lastly, a multivariable Cox proportional hazards model was used to investigate associations between SAFE-D score and time to readmission.ResultsAll discharge letters contained at least five of eleven key elements. In less than two per cent of the discharge letters, all eleven key elements were present. Neither SAFE-D score, nor single key elements correlated with 30-day or 90-day readmission rate. SAFE-D score was not associated with time to readmission when adjusted for a range of patient characteristics and self-rated quality of care transitions.ConclusionsWhile written summaries play a role, they may not be sufficient on their own to ensure safe care transitions and effective self-care management post-discharge.Trial registrationClinical Trials. giv, NCT02823795, 01/09/2016.