Unplanned Hospital Readmission and Visit to the Emergency Room in the First Thirty Days after Head and Neck Surgery: A Prospective, Single-center Study.
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SUBMITTER: Chiesa-Estomba CM
PROVIDER: S-EPMC8789501 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Objectives/hypothesisPostdischarge care fragmentation, readmission to a hospital other than the one performing the surgery, has not been described in head and neck cancer patients. We sought to determine the frequency, risk factors, and outcomes for head and neck cancer patients experiencing postdischarge care fragmentation.Study designRetrospective cohort study.MethodsWe analyzed patients in the 2008 to 2010 California State Inpatient Database with a 30-day unplanned readmission following head and neck cancer surgery. The frequency of postdischarge care fragmentation, patient- and hospital-level risk factors for care fragmentation, readmission diagnosis, and readmission outcomes were determined.ResultsOf 561 patients with a 30-day unplanned readmission, 210 (37.4%) were readmitted to a hospital other than the one performing the surgery. Surgical hospitalization length of stay ≥15 days (odds ratio [OR]: 1.87, 95% confidence interval [CI]: 1.13-3.10) and discharge to a care facility (OR: 2.85, 95% CI: 1.77-4.58) were associated with care fragmentation. Overall, 39.8% of unplanned 30-day readmissions (223/561) were treatment complications, and 30.9% of treatment complication readmissions (69/223) occurred at a nonindex hospital. Patients with postdischarge care fragmentation had a 2.1-fold increased risk of in-hospital mortality within 30 days of readmission compared to patients readmitted to the index hospital (95% CI: 1.04-4.26).ConclusionsPostdischarge care fragmentation following head an neck cancer surgery is common, as 37% of readmitted patients and 31% of patients readmitted with a treatment complication are readmitted to a hospital other than the surgical hospital. Head and neck cancer patients experiencing care fragmentation are at increased risk of in-hospital mortality within 30 days of readmission.Level of evidence4. Laryngoscope, 127:868-874, 2017.
| S-EPMC5493141 | biostudies-literature
Project description:BACKGROUND:Unplanned visits to the emergency department (ED) and inpatient setting are expensive and associated with poor outcomes in thoracic surgery. We assessed 30-d postoperative ED visits and inpatient readmissions following thoracotomy, a high morbidity procedure. MATERIALS AND METHODS:We retrospectively analyzed inpatient and ED administrative data from California, Florida, and New York, 2010-2011. "Return to care" was defined as readmission to inpatient facility or ED within 30 d of discharge. Factors associated with return to care were analyzed via multivariable logistic regressions with a fixed effect for hospital variability. RESULTS:Of 30,154 thoracotomies, 6.3% were admitted to the ED and 10.2% to the inpatient setting within 30 d of discharge. Increased risk of inpatient readmission was associated with Medicare (odds ratio [OR] 1.30; P < 0.001) and Medicaid (OR 1.31; P < 0.0001) insurance status compared to private insurance and black race (OR 1.18; P = 0.02) compared to white race. Lung cancer diagnosis (OR 0.83; P < 0.001) and higher median income (OR 0.89; P = 0.04) were associated with decreased risk of inpatient readmission. Postoperative ED visits were associated with Medicare (OR 1.24; P < 0.001) and Medicaid insurance status (OR 1.59; P < 0.001) compared to private insurance and Hispanic race (OR 1.19; P = 0.04) compared to white race. CONCLUSIONS:Following thoracotomy, postoperative ED visits and inpatient readmissions are common. Patients with public insurance were at high risk for readmission, while patients with underlying lung cancer diagnosis had a lower readmission risk. Emphasizing postoperative management in at-risk populations could improve health outcomes and reduce unplanned returns to care.
| S-EPMC6732253 | biostudies-literature
Project description:ObjectivesThe aim of this systematic review was to describe and analyse the performance statistics of validated risk scores identifying elderly inpatients at risk of early unplanned readmission.Data sourcesWe identified potentially eligible studies by searching MEDLINE, EMBASE, COCHRANE and Web of Science. Our search was restricted to original studies, between 1966 and 2018.Eligibility criteriaOriginal studies, which internally or externally validated the clinical scores of hospital readmissions in elderly inpatients.Data extraction and synthesisA data extraction grid based on Strengthening the Reporting of Observational Studies in Epidemiology and Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis statements was developed and completed by two reviewers to collect general data. The same process was used to extract metrological data of the selected scores.Quality assessment of the included studiesAssessment of the quality and risk of bias in individual studies was performed by two reviewers, using the validated Effective Public Health Practice Project quality assessment tool.ParticipantsElderly inpatients discharged to home from hospital or returning home after an accident and emergency department visit.ResultsA total of 12 studies and five different scores were included in the review. The five scores present area under the receiving operating characteristic curve between 0.445 and 0.69. Identification of Senior At Risk (ISAR) and Triage Risk Screening Tool (TRST) scores were the more frequently validated scores with ISAR being more sensitive and TRST more specific.ConclusionsThe TRST and ISAR scores have been extensively studied and validated. The choice of the most suitable score relies on available patient data, patient characteristics and the foreseen clinical care intervention. In order to pair the intervention with the appropriate clinical score, further studies of external validation of clinical scores, identifying elderly patients at risk of early unplanned readmission, are needed.Prospero registration numberCRD42017054516.
| S-EPMC6677948 | biostudies-literature
Project description:BackgroundThe number of total hip arthroplasties (THA) being performed has been steadily increasing for decades. With increased primary THA surgical volume, revision THA numbers are also increasing at a steady pace. With the aging, increasingly comorbid patient populations and newly imposed financial penalties for hospitals with high readmission rates, refining understanding of factors influencing readmission following THA is a research priority. We hypothesize that numerous preoperative medical comorbidities and postoperative medical complications will emerge as significant positive risk factors for 30-day readmission.MethodsACS-NSQIP database identified patients who underwent revision THA from 2005 to 2015. The primary outcome assessed was hospital readmission within 30 days. Patient demographics, preoperative comorbidities, laboratory studies, operative characteristics, and postsurgical complications were compared between readmitted and non-readmitted patients. Logistic regression identified significant independent risk factors for 30-day readmission among these variables.Results10,032 patients underwent revision THA in the ACS-NSQIP from 2005 to 2015; 855 (8.5%) were readmitted within 30-days. Increasing age, the presence of preoperative comorbidities, high ASA class, and increased operative time were significant positively associated independent risk factors for 30-day readmission. Several postoperative medical and surgical complications such as myocardial infarction, stroke, pneumonia, and sepsis demonstrated significant positive associations with readmission.ConclusionIdentifying and understanding risk factors associated with readmission allows for the implementation of evidence-based interventions aimed at minimizing risk and reducing 30-day readmission rates following revision THA.
| S-EPMC6985016 | biostudies-literature
Project description:BackgroundUnplanned emergency department visits are often overlooked as an indicator of care quality. The authors' objectives were to (1) determine the rate of 30-day emergency department visits following mastectomy with or without immediate reconstruction, (2) perform a risk analysis of potential factors associated with emergency department return, and (3) assess for potentially preventable visits with a focus on returns for pain.MethodsUsing the Healthcare Cost and Utilization Project data, the authors identified adult women who underwent mastectomy with or without reconstruction. Multivariable logistic regression was performed to evaluate risk of unplanned emergency department visits. The authors identified and sorted diagnostic codes to investigate why patients were seeking emergency department care. In addition, the authors performed a subgroup analysis on patients returning with a pain-related diagnosis to evaluate risk.ResultsOf 159,275 cases of mastectomy with or without immediate reconstruction, 4917 (3.1 percent) experienced an unplanned return to the emergency department within 30 days of operation. A substantial proportion of those who returned (23 percent) presented with a pain-related diagnosis. Only 0.9 percent of cases with a 30-day emergency department return were readmitted.ConclusionsNumerous patients return to the emergency department within 30 days of mastectomy with or without immediate reconstruction. There is a need for policy makers and physicians to implement strategies to reduce discretionary emergency department use, specifically among younger or publicly insured patients. Combining unplanned emergency department visits with readmission rates as a care quality indicator warrants consideration.Clinical question/level of evidenceRisk, III.
| S-EPMC6690042 | biostudies-literature
Project description:INTRODUCTION/BACKGROUND:The choice between endoscopic injection (EI) and ureteroneocystotomy (UNC) for surgical correction of vesicoureteral reflux (VUR) is controversial. OBJECTIVE:To compare postoperative outcomes of EI vs UNC. STUDY DESIGN:This study reviewed linked inpatient (SID), ambulatory surgery (SASD), and emergency department (SEDD) data from five states in the United States (2007-10) to identify pediatric patients with primary VUR undergoing EI or UNC as an initial surgical intervention. Unplanned readmissions, additional procedures, and emergency room (ER) visits were extracted. Statistical analysis was performed using multivariate logistic regression using generalized estimating equation (GEE) to adjust for hospital-level clustering. RESULTS:The study identified 2556 UNC and 1997 EI procedures. Compared with patients undergoing EI, those who underwent UNC were more likely to be younger (4.6 vs 6.0 years, P < 0.001), male (30 vs 20%, P < 0.001), and publicly insured (34 vs 29%, P < 0.001). As shown in Summary Figure, compared with EI, UNC patients had lower rates of additional anti-reflux procedures within 12 months (25 (1.0) vs 121 (6.1%), P < 0.001), but a higher rate of 30-day and 90-day readmissions and ER visits. On multivariate analysis, patients treated by UNC remained at higher odds of being readmitted (OR = 4.45; 2.69 in 30 days; 90 days, P < 0.001) and to have postoperative ER visits (OR = 3.33; 2.26 in 30 days; 90 days, P < 0.001); however, EI had significantly higher odds of repeat anti-reflux procedures in the subsequent year (OR = 7.12, P < 0.001). DISCUSSIONS:Endoscopic injection constituted nearly half of initial anti-reflux procedures in children. However, patients treated with UNC had significantly lower odds of requiring re-treatment in the first year relative to those treated with EI. By contrast, patients treated with UNC had more than twice the odds of being readmitted or visiting an ER postoperatively. Although the available data were amongst the largest and most well validated, the major limitation was the retrospective nature of the administrative database. The practice setting may not be generalizable to states not included in the analysis. CONCLUSIONS:Postoperative readmissions and ER visits were uncommon after any surgical intervention for VUR, but were more common among children undergoing UNC. The EI patients had a more than seven-fold increased risk of surgical re-treatment within 1 year.
| S-EPMC5632086 | biostudies-literature
Project description:ImportanceTrauma of hospitalization refers to the depersonalizing and stressful experience of a hospital admission and is hypothesized to increase the risk of readmission after discharge.ObjectivesTo characterize the trauma of hospitalization by measuring patient-reported disturbances in sleep, mobility, nutrition, and mood among medical inpatients, and to examine the association between these disturbances and the risk of unplanned return to hospital after discharge.Design, setting, and participantsThis prospective cohort study enrolled participants between September 1, 2016, and September 1, 2017, at 2 academic hospitals in Toronto, Canada. Participants were adults admitted to the internal medicine ward for more than 48 hours. Participants were interviewed before discharge using a standardized questionnaire to assess sleep, mobility, nutrition, and mood. Responses for each domain were dichotomized as disturbance or no disturbance. Disturbance in 3 or 4 domains (the upper tertile) was considered high trauma of hospitalization, and disturbance in 0 to 2 domains (the lower 2 tertiles) was considered low trauma.Main outcome and measuresThe primary outcome was readmission or emergency department visit within 30 days of discharge. The association between trauma of hospitalization and the primary outcome was examined using logistic regression, adjusted for age; sex; length of stay; Charlson Comorbidity Index Score; Laboratory-Based Acute Physiology Score; and baseline disturbances in sleep, mobility, nutrition, and mood.ResultsA total of 207 patients participated, of whom 82 (39.6%) were women and 125 (60.4%) were men, with a mean (SD) age of 60.3 (16.8) years. Among the 207 participants, 75 (36.2%) reported sleep disturbance, 162 (78.3%) reported mobility disturbance, 114 (55.1%) reported nutrition disturbance, and 48 (23.2%) reported mood disturbance. Nearly all participants (192 [92.8%]) described a disturbance in at least 1 domain, and 61 participants (29.5%) had high trauma exposure. A statistically significant 15.8% greater absolute risk of readmission or emergency department visit was found in participants with high trauma (37.7%; 95% CI, 25.9%-51.1%) compared with those with low trauma (21.9%; 95% CI, 15.7%-29.7%), which remained statistically significant after adjusting for baseline characteristics (adjusted odds ratio, 2.52; 95% CI, 1.24-5.17; P = .01) and propensity score matching (odds ratio, 2.47; 95% CI, 1.11-5.73; P = .03).Conclusions and relevanceDisturbances in sleep, mobility, nutrition, and mood were common in medical inpatients; such trauma of hospitalization may be associated with a greater risk of 30-day readmission or emergency department visit after hospital discharge.
| S-EPMC6583419 | biostudies-literature
Project description:This study aimed to estimate the incidence of 28-day unplanned readmission among older women, and associated factors. Data were used from the 1921-1926 birth cohort of the Australian Longitudinal Study on Women's Health. Linkage of self-reported survey data with the Admitted Patient Data Collection allowed the identification of hospital admissions for each woman and the corresponding baseline characteristics. The Cox proportional-hazards model was used to identify factors associated with time to unplanned readmission, using SAS software V 9.4. (SAS Institute, Cary, NC, USA). Of 2056 women with index unplanned admission, 363 (17.5%) were readmitted within 28 days of discharge, and of these 229 (11.14%) had unplanned readmission. Among women with unplanned readmission, 24% were for the same condition as for the index hospitalisation. Cardiovascular diseases were the main diagnoses for the index admission and readmission. Unplanned readmission risk was higher if not partnered (hazard ratio (HR) = 1.43, 95% confidence interval (CI): 1.05-1.95), of non-English speaking background (HR = 1.62%, 95% CI: 1.07-2.47), more than three days length of stay on index admission (HR = 1.41%, 95% CI: 1.04-1.90) and one or two of the assessed chronic diseases (HR = 1.68, 95% CI: 1.19-2.36). At least one in ten women had unplanned readmission at some time between ages 75-95 years. Women who are not partnered, not of English-speaking background, with longer hospital stay and those with multi-morbidity, may need further efforts during their stay and on discharge to mitigate unplanned readmission.
| S-EPMC7246843 | biostudies-literature
Project description:ObjectivesTo identify the preventability, determinants and causes of unplanned hospital readmissions within 30 days of discharge using a multidisciplinary approach and including patients' perspectives.DesignA prospective cross-sectional single-center study.SettingUrban teaching hospital in Amsterdam, the Netherlands.Participants430 patients were included. Inclusion criteria were: age ? 18 years, discharged from one of seven participating clinical departments and an unplanned readmission within 30 days.MethodsResidents from the participating departments individually assessed whether the readmission was caused by healthcare, the preventability and possible causes of readmissions using a tool. Thereafter, the preventability of the cases was discussed in a multidisciplinary meeting with residents of all participating departments and clinical pharmacists. The primary outcome was the proportion of readmissions that were potentially preventable. Secondary outcomes were the determinants for a readmission, causes for preventable readmissions, the change in the final decision on preventability after the multidisciplinary meeting and the value of patient interviews in assessing preventability. Differences in characteristics of potentially preventable readmissions (PPRs) and non-PPRs were analyzed using multivariable logistic regression.ResultsOf 430 readmissions, 56 (13%) were assessed as PPRs. Age was significantly associated with a PPR (adjusted OR: 2.42; 95%, CI 1.23-4.74; p = 0.01). The main causes for PPRs were diagnostic (30%), medication (27%) and management problems (27%). During the multidisciplinary meeting, the final decision on preventability changed in 11% of the cases. When a patient interview was available, it was used as a source of information to assess preventability in 26% of readmissions. In 7% of cases, the patient interview was mentioned as the most important source.Conclusion and implications13% of readmissions were potentially preventable with diagnostic, medication or management problems being main causes. A multidisciplinary review approach and including the patient's perspective could contribute to a better understanding of the complexity of readmissions and possible improvements.
| S-EPMC7117704 | biostudies-literature
Project description:ImportancePatient-reported symptom burden was recently found to be associated with emergency department use and unplanned hospitalization (ED/Hosp) in patients with head and neck cancer. It was hypothesized that symptom scores could be combined with administrative health data to accurately risk stratify patients.ObjectiveTo develop and validate a machine learning approach to predict future ED/Hosp in patients with head and neck cancer.Design, setting, and participantsThis was a population-based predictive modeling study of patients in Ontario, Canada, diagnosed with head and neck cancer from January 2007 through March 2018. All outpatient clinical encounters were identified. Edmonton Symptom Assessment System (ESAS) scores and clinical and demographic factors were abstracted. Training and test cohorts were randomly generated in a 4:1 ratio. Various machine learning algorithms were explored, including (1) logistic regression using a least absolute shrinkage and selection operator, (2) random forest, (3) gradient boosting machine, (4) k-nearest neighbors, and (5) an artificial neural network. Data analysis was performed from September 2021 to January 2022.Main outcomes and measuresThe main outcome was any 14-day ED/Hosp event following symptom assessment. The performance of each model was assessed on the test cohort using the area under the receiver operator characteristic (AUROC) curve and calibration plots. Shapley values were used to identify the variables with greatest contribution to the model.ResultsThe training cohort consisted of 9409 patients (mean [SD] age, 63.3 [10.9] years) undergoing 59 089 symptom assessments (80%). The remaining 2352 patients (mean [SD] age, 63.3 [11] years) and 14 193 symptom assessments were set aside as the test cohort (20%). Several models had high predictive accuracy, particularly the gradient boosting machine (validation AUROC, 0.80 [95% CI, 0.78-0.81]). A Youden-based cutoff corresponded to a validation sensitivity of 0.77 and specificity of 0.66. Patient-reported symptom scores were consistently identified as being the most predictive features within models. A second model built only with symptom severity data had an AUROC of 0.72 (95% CI, 0.70-0.74).Conclusions and relevanceIn this study, machine learning approaches predicted with a high degree of accuracy ED/Hosp in patients with head and neck cancer. These tools could be used to accurately risk stratify patients and may help direct targeted intervention.
| S-EPMC9247860 | biostudies-literature