Developing and Validating a Pediatric Potentially Avoidable Transfer Quality Metric.
Ontology highlight
ABSTRACT:
SUBMITTER: Rosenthal JL
PROVIDER: S-EPMC6901803 | biostudies-literature | 2020 Mar/Apr
REPOSITORIES: biostudies-literature
Publications
Developing and Validating a Pediatric Potentially Avoidable Transfer Quality Metric.
Rosenthal Jennifer L JL Atolagbe Oluseun O Hamline Michelle Y MY Li Su-Ting T ST Toney Alexis A Witkowski Jessica J McKnight Heather H Tancredi Daniel J DJ Romano Patrick S PS
American journal of medical quality : the official journal of the American College of Medical Quality 20190610 2
This study aimed to evaluate a quality metric that identifies pediatric potentially avoidable transfers from diagnosis and procedure codes. Using physician medical record review as the gold standard, the following steps were used: (1) develop the initial metric definition, (2) estimate initial metric definition operating characteristics, (3) refine this definition to optimize the <i>c</i>-statistic, and (4) validate this optimized metric definition using a separate sample. The initial metric usi ...[more]
Similar Datasets
Project description:BACKGROUND:Inter-facility transfer is an important strategy for improving access to specialized health services, but transfers are complicated by over-triage, under-triage, travel burdens, and costs. The purpose of this study is to describe ED-based inter-facility transfer practices within the Veterans Health Administration (VHA) and to estimate the proportion of potentially avoidable transfers. METHODS:This observational cohort study included all patients treated in VHA EDs between 2012 and 2014 who were transferred to another VHA hospital. Potentially avoidable transfers were defined as patients who were either discharged from the receiving ED or admitted to the receiving hospital for ?1?day without having an invasive procedure performed. We conducted facility- and diagnosis-level analyses to identify subgroups of patients for whom potentially avoidable transfers had increased prevalence. RESULTS:Of 6,173,189 ED visits during the 3-year study period, 18,852 (0.3%) were transferred from one VHA ED to another VHA facility. Rural residents were transferred three times as often as urban residents (0.6% vs. 0.2%, p?<?0.001), and 22.8% of all VHA-to-VHA transfers were potentially avoidable transfers. The 3 disease categories most commonly associated with inter-facility transfer were mental health (34%), cardiac (12%), and digestive diagnoses (9%). CONCLUSIONS:VHA inter-facility transfer is commonly performed for mental health and cardiac evaluation, particularly for patients in rural settings. The proportion that are potentially avoidable is small. Future work should focus on improving capabilities to provide specialty evaluation locally for these conditions, possibly using telehealth solutions.
| S-EPMC7014752 | biostudies-literature
Project description:IntroductionPatients with end-stage kidney disease have a high risk of 30-day readmission to hospital. These readmissions are financially costly to health care systems and are associated with poor health-related quality of life. The objective of this study was to describe and analyze the frequency, causes, and predictors of 30-day potentially avoidable readmission to hospital in patients on hemodialysis.MethodsWe conducted a retrospective cohort study using the US Renal Data System data from January 1, 2008, to December 31, 2008. A total of 107,940 prevalent United States hemodialysis patients with 248,680 index hospital discharges were assessed for the main outcome of 30-day potentially avoidable readmission, as identified by a computerized algorithm.ResultsOf 83,209 30-day readmissions, 59,045 (70.1%) resulted in a 30-day potentially avoidable readmission. The geographic distribution of 30-day potentially avoidable readmission in the United States varied by state. Characteristics associated with 30-day potentially avoidable readmission included the following: younger age, shorter time on hemodialysis, at least 3 or more hospitalizations in preceding 12 months, black race, unemployed status, treatment at a for-profit facility, longer length of index hospital stay, and index hospitalizations that involved a surgical procedure. The 5-, 15-, and 30-day potentially avoidable readmission cumulative incidences were 6.0%, 15.1%, and 25.8%, respectively.ConclusionPatients with end-stage kidney disease on maintenance hemodialysis are at high risk for 30-day readmission to hospital, with nearly three-quarters (70.1%) of all 30-day readmissions being potentially avoidable. Research is warranted to develop cost-effective and transferrable interventions that improve care transitions from hospital to outpatient hemodialysis facility and reduce readmission risk for this vulnerable population.
| S-EPMC5932139 | biostudies-literature
Project description:Mesenchymal stem/stromal cells (MSCs) have been extensively investigated for their regenerative, immune-modulatory, and wound healing properties. While the laboratory studies have suggested that MSC's have a unique potential for modulating the etiopathology of multiple diseases, the results from clinical trials have not been encouraging or reproducible. One of the explanations for such variability is explained by the "art" of isolating and propagating MSCs. Therefore, establishing more than minimal criteria to define MSC would help understand best protocols to isolate, propagate and deliver MSCs. Developing a calibration standard, a database and a set of functional tests would be a better quality metric for MSCs. In this review, we discuss the importance of selecting a standard, issues associated with coming up with such a standard and how these issues can be mitigated.
| S-EPMC4943322 | biostudies-literature
Project description:BackgroundOne of the increasingly accepted methods to evaluate the privacy of synthetic data is by measuring the risk of membership disclosure. This is a measure of the F1 accuracy that an adversary would correctly ascertain that a target individual from the same population as the real data is in the dataset used to train the generative model, and is commonly estimated using a data partitioning methodology with a 0.5 partitioning parameter.ObjectiveValidate the membership disclosure F1 score, evaluate and improve the parametrization of the partitioning method, and provide a benchmark for its interpretation.Materials and methodsWe performed a simulated membership disclosure attack on 4 population datasets: an Ontario COVID-19 dataset, a state hospital discharge dataset, a national health survey, and an international COVID-19 behavioral survey. Two generative methods were evaluated: sequential synthesis and a generative adversarial network. A theoretical analysis and a simulation were used to determine the correct partitioning parameter that would give the same F1 score as a ground truth simulated membership disclosure attack.ResultsThe default 0.5 parameter can give quite inaccurate membership disclosure values. The proportion of records from the training dataset in the attack dataset must be equal to the sampling fraction of the real dataset from the population. The approach is demonstrated on 7 clinical trial datasets.ConclusionsOur proposed parameterization, as well as interpretation and generative model training guidance provide a theoretically and empirically grounded basis for evaluating and managing membership disclosure risk for synthetic data.
| S-EPMC9553223 | biostudies-literature
Project description:ImportanceHigh health care costs encourage initiatives that avoid overuse of resources and identify opportunities to promote appropriate care.ObjectiveTo investigate the causes of potentially avoidable surgical intensive care unit (SICU) admissions and disposition delays to determine whether targeted interventions could decrease these stays.Design, setting, and participantsThis prospective, observational study focused on potentially avoidable SICU days, as determined by observers with input from the rounding intensivists at a 24-bed open SICU at an urban, academic hospital. The preintervention phase occurred from April 6 through June 21, 2015; after implementation of targeted interventions, the postintervention phase occurred from April 4 through June 28, 2016. Data collected included demographic characteristics, reason for admission, and length of stay. All patients admitted to the SICU during the preintervention and postintervention phases were included in the analysis.InterventionsBased on results collected in the preintervention phase, targeted interventions were designed and implemented from July 1, 2015, through March 31, 2016, including (1) reducing SICU care for minor traumatic brain injury, (2) optimizing postoperative airway management, (3) enhancing communication between services regarding transfers to the SICU, (4) identifying and facilitating more timely end-of-life conversations and supportive care consultations, and (5) encouraging early disposition of patients to floor beds.Main outcomes and measuresChanges in the proportion of potentially avoidable SICU days owing to potentially avoidable admissions and/or disposition delays.ResultsA total of 459 patients (253 men [55.1%] and 206 women [44.9%]; median age, 62 years [interquartile range, 46-75 years]) were admitted during the preintervention and postintervention phases. Of 261 patients admitted during the preintervention period and 245 during the postintervention period, median SICU and hospital length of stay remained unchanged. A reduction was noted in the percentage of postintervention SICU days owing to potentially avoidable admissions (152 of 1168 days [13%] vs 118 of 1338 days [8.8%]; P?=?.001) and disposition delays (138 of 1168 days [11.8%] vs 97 of 1338 days [7.2%]; P?<?.001). During the postintervention period, decreases were noted in the SICU days related to the most common sources of potentially avoidable admissions (SICU stay ?24 hours, airway concerns, and somnolence) and disposition delays (end-of-life decisions and floor bed unavailable) as well as in the overall rate of potentially avoidable days (269 of 1168 days [23%] vs 205 of 1338 days [15.3%]; P?<?.001).Conclusions and relevanceNearly one-fourth of SICU days could be categorized as potentially avoidable. Targeted interventions resulted in a significant reduction of potentially avoidable SICU days.
| S-EPMC5710417 | biostudies-literature
Project description:PurposeTo identify and characterize potentially avoidable hospitalizations in patients with GI malignancies.Patients and methodsWe compiled a retrospective series of sequential hospital admissions in patients with GI cancer. Patients were admitted to an inpatient medical oncology or palliative care service between December 2011 and July 2012. Practicing oncology clinicians used a consensus-driven medical record review process to categorize each hospitalization as "potentially avoidable" or "not avoidable." Patient demographic and clinical data were abstracted, and quantitative and qualitative analyses were performed to identify patient characteristics and outcomes associated with potentially avoidable hospitalizations.ResultsWe evaluated 201 hospitalizations in 154 unique patients. The median age was 62 years, and colorectal cancer was the most common diagnosis (32%). The majority of hospitalized patients had metastatic cancer (81%). In all, 53% of hospitalizations were attributable to cancer symptoms, and 28% were attributable to complications of cancer treatment. Medical oncologists identified 39 hospitalizations (19%) as potentially avoidable. Hospitalizations were more likely to be categorized as potentially avoidable for patients with the following characteristics: age ? 70 years (odds ratio [OR], 2.63; 95% CI, 1.15 to 6.02), receipt of an oncologist's advice to consider hospice (OR, 6.09; 95% CI, 2.54 to 14.58), or receipt of three or more lines of chemotherapy (OR, 2.68; 95% CI, 1.01 to 7.08). Ninety-day mortality was higher after avoidable hospitalizations compared with hospitalizations that were not avoidable (OR, 6.4; 95% CI, 1.8 to 22.3).ConclusionPotentially avoidable hospitalizations are common in patients with advanced GI cancer. The majority of potentially avoidable hospitalizations occurred in patients with advanced treatment-refractory cancers near the end of life.
| S-EPMC3918534 | biostudies-literature
Project description:Background/objectivesStudies show that in nursing homes (NHs), the prevalence of moderate-to-severe obesity has doubled in the last decade and continues to increase. Obese residents are often complex and costly, and this increase in prevalence has come at a time when NHs struggle to decrease hospitalizations, particularly those that are potentially avoidable. This study examined the association between obesity and hospitalizations.DesignWe linked 2011-2014 national data using Medicare NH assessments, hospital claims, and the NH Compare.Setting and participantsIndividuals aged ≥65 years, newly admitted to NHs, who became long-term residents between July 1, 2011 and March 26, 2014. The analytical sample included 490,086 residents.MethodsNH-originating hospitalization was the outcome; a categorical variable defined as no hospitalization, potentially avoidable hospitalization (PAH), and other hospitalization (non-PAH). The main independent variable was body mass index (BMI) defined as normal weight (30 >BMI ≥18.5 kg/m2), mildly obese (35 >BMI ≥30 kg/m2), or moderately-to-severely obese (BMI ≥35 kg/m2). Covariates included individual and NH characteristics. Multinomial models with NH random effects and state dummies were estimated.ResultsAfter adjusting for individual level covariates, the risk of non-PAH for the mildly and moderate/severely obese was not different from normal weight residents. But the risk of PAH remained significantly higher for the moderate/severely obese (relative risk ratio = 1.055; 95% confidence interval 1.018, 1.094). Several NH-level factors also influenced hospitalization risk.Conclusions and implicationsObese residents are more likely to experience PAH but not non-PAH. Efforts to improve care for these residents may need to broadly consider the ability of NHs to commit additional resources to fully integrate care for this growing segment of the population.
| S-EPMC7483884 | biostudies-literature
Project description:BACKGROUND:Few metrics exist to assess quality of care at pediatric cardiac surgical programs, limiting opportunities for benchmarking and quality improvement. Postoperative duration of mechanical ventilation (POMV) may be an important quality metric because of its association with complications and resource utilization. In this study we modelled case-mix-adjusted POMV duration and explored hospital performance across POMV metrics. METHODS:This study used the Pediatric Cardiac Critical Care Consortium clinical registry to analyze 4,739 hospitalizations from 15 hospitals (October 2013 to August 2015). All patients admitted to pediatric cardiac intensive care units after an index cardiac operation were included. We fitted a model to predict duration of POMV accounting for patient characteristics. Robust estimates of SEs were obtained using bootstrap resampling. We created performance metrics based on observed-to-expected (O/E) POMV to compare hospitals. RESULTS:Overall, 3,108 patients (65.6%) received POMV; the remainder were extubated intraoperatively. Our model was well calibrated across groups; neonatal age had the largest effect on predicted POMV. These comparisons suggested clinically and statistically important variation in POMV duration across centers with a threefold difference observed in O/E ratios (0.6 to 1.7). We identified 1 hospital with better-than-expected and 3 hospitals with worse-than-expected performance (p < 0.05) based on the O/E ratio. CONCLUSIONS:We developed a novel case-mix-adjusted model to predict POMV duration after congenital heart operations. We report variation across hospitals on metrics of O/E duration of POMV that may be suitable for benchmarking quality of care. Identifying high-performing centers and practices that safely limit the duration of POMV could stimulate quality improvement efforts.
| S-EPMC5783731 | biostudies-literature
Project description:OBJECTIVE:Potentially avoidable hospitalizations (PAHs) of nursing home (NH) residents are common, costly, and can have significant economic consequences. Telemedicine has been shown to reduce emergency department and hospitalization of NH residents, yet adoption has been limited and little is known about provider's perceptions and desired functionality for a telemedicine program. The goal of this study was to survey a nationally representative sample of NH physicians and advanced practice providers to quantify provider perceptions and desired functionality of telemedicine in NHs to reduce PAHs. DESIGN/SETTING/PARTICIPANTS/MEASUREMENT:We surveyed physicians and advanced practice providers who attended the 2015 AMDA-The Society for Post-Acute and Long-Term Care Medicine Annual Conference about their perceptions of telemedicine and desired attributes of a telemedicine program for managing acute changes of condition associated with PAHs. RESULTS:We received surveys from 435 of the 947 conference attendees for a 45.9% response rate. Providers indicated strong agreement with the potential for telemedicine to improve timeliness of care and fill existing service gaps, while disagreeing most with the ideas that telemedicine would reduce care effectiveness and jeopardize resident privacy. Responses indicated clear preferences for the technical requirements of such a program, such as high-quality audio and video and inclusion of an electronic stethoscope, but with varying opinions about who should be performing the consults. CONCLUSION:Among NH providers, there is a high degree of confidence in the potential for a telemedicine solution to PAHs in NHs, as well as concrete views about features of such a solution. Such consensus could be used to drive an approach to telemedicine for PAHs in NHs that retains the theoretical strengths of telemedicine and reflects the needs of facilities, providers, and patients. Further research is needed to objectively study the impact of successful telemedicine implementations on patient, provider, and economic outcomes.
| S-EPMC4884506 | biostudies-literature
Project description:ObjectiveTo audit the clinical management preceding peripartum hysterectomy and evaluate if peripartum hysterectomies are potentially avoidable and by which means.Material and methodsWe developed a structured audit form based on explicit criteria for the minimal mandatory management of the specific types of pregnancy and delivery complications leading to peripartum hysterectomy. We evaluated medical records of the 50 Danish women with peripartum hysterectomy identified in the Nordic Obstetric Surveillance Study 2009-2012 and made short narratives of all cases.ResultsThe most frequent indication for hysterectomy was hemorrhage. The two main initial causes were abnormally invasive placenta (26%) and lacerations (26%). Primary atony was third and occurred in 20%. Before hysterectomy another 26% had secondary atony following complications such as lacerations, retained placental tissue or coagulation defects. Of the 50 cases, 24% were assessed to be avoidable and 30% potentially avoidable. Hysterectomy following primary and secondary atony was assessed to be avoidable in 4/10 and 4/13 cases, respectively. Early sufficient suturing of lacerations and uterine ruptures, as well as a more widespread use of intrauterine balloons alone or in combination with uterine compression sutures (the sandwich model), could presumably have prevented about one fourth of the peripartum hysterectomies.ConclusionMore than 50% of peripartum hysterectomies seem to be avoidable by simple measures. In order to minimize the number of unnecessary peripartum hysterectomies, obstetricians and anesthesiologists should investigate individual cases by structured clinical audit, and disseminate and discuss the results for educational purposes. An international collaboration is warranted to strengthen our recommendations and reveal if they are generally applicable.
| S-EPMC4999193 | biostudies-literature