General and vascular surgery readmissions: a systematic review.
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ABSTRACT:
SUBMITTER: Wiseman JT
PROVIDER: S-EPMC4243160 | biostudies-literature | 2014 Sep
REPOSITORIES: biostudies-literature
Publications
General and vascular surgery readmissions: a systematic review.
Wiseman Jason T JT Guzman Amanda M AM Fernandes-Taylor Sara S Engelbert Travis L TL Saunders R Scott RS Kent K Craig KC
Journal of the American College of Surgeons 20140522 3
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Project description:IntroductionReadmission is a poor outcome for both patients and healthcare systems. The association of certain sociocultural and demographic characteristics with likelihood of readmission is uncertain in general surgical patients.MethodA multi-centre retrospective cohort study of consecutive unique individuals who survived to discharge during general surgical admissions was conducted. Sociocultural and demographic variables were evaluated alongside clinical parameters (considered both as raw values and their proportion of change in the 1-2 days prior to admission) for their association with 7 and 30 days readmission using logistic regression.ResultsThere were 12,701 individuals included, with 304 (2.4%) individuals readmitted within 7 days, and 921 (7.3%) readmitted within 30 days. When incorporating absolute values of clinical parameters in the model, age was the only variable significantly associated with 7-day readmission, and primary language and presence of religion were the only variables significantly associated with 30-day readmission. When incorporating change in clinical parameters between the 1-2 days prior to discharge, primary language and religion were predictive of 30-day readmission. When controlling for changes in clinical parameters, only higher comorbidity burden (represented by higher Charlson comorbidity index score) was associated with increased likelihood of 30-day readmission.ConclusionsSociocultural and demographic patient factors such as primary language, presence of religion, age, and comorbidity burden predict the likelihood of 7 and 30-day hospital readmission after general surgery. These findings support early implementation a postoperative care model that integrates all biopsychosocial domains across multiple disciplines of healthcare.
| S-EPMC10694098 | biostudies-literature
Project description:BackgroundEmergency general surgery practice is high risk. Surgery is a key part of treatment, with resultant catabolic stress and frequent need for nutritional support. The aim of this study was to examine the current methods of defining and determining malnutrition in emergency general surgery. This included examining the use of nutrition screening and assessment tools and other measures of malnutrition.MethodsMEDLINE, Embase, Cumulative Index to Nursing and Allied Health Literature, trial registries, and relevant journals published between January 2000 and January 2022 were searched for studies of adult patients with any emergency general surgery diagnosis, managed conservatively or operatively, with an assessment of nutritional status. Mixed populations were included if more than 50 per cent of patients were emergency general surgery patients or emergency general surgery results could be separately extracted. Studies in which patients had received nutritional support were excluded. The protocol was registered with PROSPERO, the international prospective register of systematic reviews (CRD42021285897).ResultsFrom 6700 studies screened, 324 full texts were retrieved and 31 were included in the analysis. A definition of malnutrition was provided in 23 studies (75 per cent), with nutritional status being determined by a variety of methods. A total of seven nutrition screening tools and a total of nine 'assessment' tools were reported. To define malnutrition, the most commonly used primary or secondary marker of nutritional status was BMI, followed by albumin level.ConclusionWide variation exists in approaches to identify malnutrition risk in emergency general surgery patients, using a range of tools and nutrition markers. Future studies should seek to standardize nutrition screening and assessment in the emergency general surgery setting as two discrete processes. This will permit better understanding of malnutrition risk in surgical patients.
| S-EPMC10519817 | biostudies-literature
Project description:IntroductionNew financial incentives, such as reduced Medicare reimbursements, have led hospitals to closely monitor their readmission rates and initiate efforts aimed at reducing them. In this context, many surgical departments participate in the American College of Surgeons National Surgical Quality Improvement Program (NSQIP), which collects detailed demographic, laboratory, clinical, procedure and perioperative occurrence data. The availability of such data enables the development of data science methods which predict readmissions and, as done in this paper, offer specific recommendations aimed at preventing readmissions.Materials and methodsThis study leverages NSQIP data for 722,101 surgeries to develop predictive and prescriptive models, predicting readmissions and offering real-time, personalized treatment recommendations for surgical patients during their hospital stay, aimed at reducing the risk of a 30-day readmission. We applied a variety of classification methods to predict 30-day readmissions and developed two prescriptive methods to recommend pre-operative blood transfusions to increase the patient's hematocrit with the objective of preventing readmissions. The effect of these interventions was evaluated using several predictive models.ResultsPredictions of 30-day readmissions based on the entire collection of NSQIP variables achieve an out-of-sample accuracy of 87% (Area Under the Curve-AUC). Predictions based only on pre-operative variables have an accuracy of 74% AUC, out-of-sample. Personalized interventions, in the form of pre-operative blood transfusions identified by the prescriptive methods, reduce readmissions by 12%, on average, for patients considered as candidates for pre-operative transfusion (pre-operative hematoctic <30). The prediction accuracy of the proposed models exceeds results in the literature.ConclusionsThis study is among the first to develop a methodology for making specific, data-driven, personalized treatment recommendations to reduce the 30-day readmission rate. The reported predicted reduction in readmissions can lead to more than $20 million in savings in the U.S. annually.
| S-EPMC7480861 | biostudies-literature
Project description:BackgroundAs of the most recent surveys of resident programs in 2018, only slightly more than half of programs have formal robotic training curriculums implemented. Fewer programs have further assessed their own curriculum and its benefit.MethodWe conducted a PubMed/MEDLINE literature search for robotic surgery curriculums and those that had assessment of their programs.ResultsA total of 11 studies were reviewed. When reviewed in chronological order, there has been a progression towards more robotic specific objective data analysis as opposed to subjective surveying. There is a wide variation in curriculums, but simulation use is pervasive.ConclusionsOur review makes evident two important concepts-there is great variety in training curriculums and there is great benefit in implementation. The importance is in establishment of what makes resident training effective and supports the adaptable and successful surgeon. This may come from an adaptable curriculum but a structured test-out assessment.
| S-EPMC10481177 | biostudies-literature
Project description:IntroductionRecent advancements in surgical technology, reduced working hours, and training opportunities exacerbated by the COVID-19 pandemic have led to an increase in simulation-based training. Furthermore, a rise in endovascular procedures has led to a requirement for high-fidelity simulators that offer comprehensive feedback. This review aims to identify vascular surgery simulation models and assess their validity and levels of effectiveness (LoE) for each model in order to successfully implement them into current training curricula.MethodsPubMed and EMBASE were searched on January 1, 2021, for full-text English studies on vascular surgery simulators. Eligible articles were given validity ratings based on Messick's modern concept of validity alongside an LoE score according to McGaghie's translational outcomes.ResultsOverall 76 eligible articles validated 34 vascular surgery simulators and training courses for open and endovascular procedures. High validity ratings were achieved across studies for: content (35), response processes (12), the internal structure (5), relations to other variables (57), and consequences (2). Only seven studies achieved an LoE greater than 3/5. Overall, ANGIO Mentor was the most highly validated and effective simulator and was the only simulator to achieve an LoE of 5/5.ConclusionsSimulation-based training in vascular surgery is a continuously developing field with exciting future prospects, demonstrated by the vast number of models and training courses. To effectively integrate simulation models into current vascular surgery curricula and assessments, there is a need for studies to look at trainee skill retention over a longer period of time. A more detailed discussion on cost-effectiveness is also needed.
| S-EPMC9483723 | biostudies-literature
Project description:Machine learning (ML) is a rapidly advancing field with increasing utility in health care. We conducted a systematic review and critical appraisal of ML applications in vascular surgery. MEDLINE, Embase, and Cochrane CENTRAL were searched from inception to March 1, 2021. Study screening, data extraction, and quality assessment were performed by two independent reviewers, with a third author resolving discrepancies. All original studies reporting ML applications in vascular surgery were included. Publication trends, disease conditions, methodologies, and outcomes were summarized. Critical appraisal was conducted using the PROBAST risk-of-bias and TRIPOD reporting adherence tools. We included 212 studies from a pool of 2235 unique articles. ML techniques were used for diagnosis, prognosis, and image segmentation in carotid stenosis, aortic aneurysm/dissection, peripheral artery disease, diabetic foot ulcer, venous disease, and renal artery stenosis. The number of publications on ML in vascular surgery increased from 1 (1991-1996) to 118 (2016-2021). Most studies were retrospective and single center, with no randomized controlled trials. The median area under the receiver operating characteristic curve (AUROC) was 0.88 (range 0.61-1.00), with 79.5% [62/78] studies reporting AUROC ≥ 0.80. Out of 22 studies comparing ML techniques to existing prediction tools, clinicians, or traditional regression models, 20 performed better and 2 performed similarly. Overall, 94.8% (201/212) studies had high risk-of-bias and adherence to reporting standards was poor with a rate of 41.4%. Despite improvements over time, study quality and reporting remain inadequate. Future studies should consider standardized tools such as PROBAST and TRIPOD to improve study quality and clinical applicability.
| S-EPMC8770468 | biostudies-literature
Project description:Existing emergency general surgery (EGS) guidelines rarely include evidence from low- and middle-income countries (LMICs) and may lack relevance to low-resource settings. The aim of this study was to develop global guidelines for EGS that are applicable across all hospitals and health systems. A systematic review and thematic analysis were performed to identify recommendations relating to undifferentiated EGS. Those deemed relevant across all resource settings by an international guideline development panel were included in a four-round Delphi prioritization process and are reported according to International Standards for Clinical Practice Guidelines. The final recommendations were included as essential (baseline measures that should be implemented as a priority) or desirable (some hospitals may lack relevant resources at present but should plan for future implementation). After thematic analysis of 38 guidelines with 1396 unique recommendations, 68 recommendations were included in round 1 voting (410 respondents (219 from LMICs)). The final guidelines included eight essential, one desirable, and three critically unwell patient-specific recommendations. Preoperative recommendations included guidance on timely transfers, CT scan pathways, handovers, and discussion with senior surgeons. Perioperative recommendations included surgical safety checklists and recovery room monitoring. Postoperative recommendations included early-warning scores, discharge plans, and morbidity meetings. Recommendations for critically unwell patients included prioritization for theatre, senior team supervision, and high-level postoperative care. This pragmatic and representative process created evidence-based global guidelines for EGS that are suitable for resource limited environments around the world.
| S-EPMC8867031 | biostudies-literature
Project description:BackgroundEmergency abdominal surgery is associated with significant postoperative morbidity and mortality. The delivery of standardized pathways in this setting may have the potential to transform clinical care and improve patient outcomes.MethodsThe OVID SP versions of MEDLINE, EMBASE and the Cochrane Central Register of Controlled Trials were searched between January 1950 and October 2022. All randomized and non-randomized cohort studies comparing protocolized care streams with standard care protocols in adult patients (>18 years old) undergoing major emergency abdominal surgery with 30-day follow-up data were included. Studies were excluded if they reported on standardized care protocols in the trauma or elective setting. Outcomes assessed included length of stay, 30-day postoperative morbidity, 30-day postoperative mortality and 30-day readmission and reoperations rates. Risk of bias was assessed using ROBINS-I for non-randomized studies and RoB-2 for randomized controlled trials. Meta-analysis was performed using random effects modelling.ResultsSeventeen studies including 20 927 patients were identified, with 12 359 patients undergoing protocolized care pathways and 8568 patients undergoing standard care pathways. Thirteen unique protocolized pathways were identified, with a median of eight components (range 6-15), with compliance of 24-100%. Protocolized care pathways were associated with a shorter hospital stay compared to standard care pathways (mean difference -2.47, 95% c.i. -4.01 to -0.93, P = 0.002). Protocolized care pathways had no impact on postoperative mortality (OR 0.87, 95% c.i. 0.41 to 1.87, P = 0.72). A reduction in specific postoperative complications was observed, including postoperative pneumonia (OR 0.42 95% c.i. 0.24 to 0.73, P = 0.002) and surgical site infection (OR 0.34, 95% c.i. 0.21 to 0.55, P < 0.001).DiscussionProtocolized care pathways in the emergency setting currently lack standardization, with variable components and low compliance; however, despite this they are associated with short-term clinical benefits.
| S-EPMC10957158 | biostudies-literature
Project description:BackgroundReadmissions to hospital are increasingly being used as an indicator of quality of care. However, this approach is valid only when we know what proportion of readmissions are avoidable. We conducted a systematic review of studies that measured the proportion of readmissions deemed avoidable. We examined how such readmissions were measured and estimated their prevalence.MethodsWe searched the MEDLINE and EMBASE databases to identify all studies published from 1966 to July 2010 that reviewed hospital readmissions and that specified how many were classified as avoidable.ResultsOur search strategy identified 34 studies. Three of the studies used combinations of administrative diagnostic codes to determine whether readmissions were avoidable. Criteria used in the remaining studies were subjective. Most of the studies were conducted at single teaching hospitals, did not consider information from the community or treating physicians, and used only one reviewer to decide whether readmissions were avoidable. The median proportion of readmissions deemed avoidable was 27.1% but varied from 5% to 79%. Three study-level factors (teaching status of hospital, whether all diagnoses or only some were considered, and length of follow-up) were significantly associated with the proportion of admissions deemed to be avoidable and explained some, but not all, of the heterogeneity between the studies.InterpretationAll but three of the studies used subjective criteria to determine whether readmissions were avoidable. Study methods had notable deficits and varied extensively, as did the proportion of readmissions deemed avoidable. The true proportion of hospital readmissions that are potentially avoidable remains unclear.
| S-EPMC3080556 | biostudies-literature
Project description:BackgroundHospital readmission is a significant problem for patients with complex chronic illnesses such as liver cirrhosis.PurposeWe aimed to describe the range of readmission risk in patients with cirrhosis and the impact of the model for end-stage liver disease (MELD) score.Data sourcesWe conducted a systematic review of studies identified in Ovid MEDLINE, PubMed, EMBASE, CINAHL, the Cochrane Library, Scopus, Google Scholar, and ClinicalTrials.gov from 2000 to May 2017.Study selectionWe examined studies that reported early readmissions (up to 90 days) in patients with cirrhosis. Studies were excluded if they did not examine the association between readmission and at least 1 variable or intervention.Data extractionTwo reviewers independently extracted data on study design, setting, population, interventions, comparisons, and detailed information on readmissions.Data synthesisOf the 1363 records reviewed, 26 studies met the inclusion and exclusion criteria. Of these studies, 21 were retrospective, and there was significant variation in the inclusion and exclusion criteria. The pooled estimate of 30-day readmissions was 26%(95% confidence interval [CI], 22%-30%). Few studies examined readmission preventability or the relationship between readmissions and social determinants of health. Reasons for readmission were highly variable. An increased MELD score was associated with readmissions in most studies. Readmission was associated with increased mortality.ConclusionHospital readmissions frequently occur in patients with cirrhosis and are associated with liver disease severity. The impact of functional and social factors on readmissions is unclear.
| S-EPMC6202277 | biostudies-literature