Influence of trends in hospital volume over time on patient outcomes for high-risk surgery.
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ABSTRACT:
SUBMITTER: Payet C
PROVIDER: S-EPMC7114802 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
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Influence of trends in hospital volume over time on patient outcomes for high-risk surgery.
Payet Cécile C Polazzi Stéphanie S Lifante Jean-Christophe JC Cotte Eddy E Grinberg Daniel D Carty Matthew J MJ Sanchez Stéphane S Rabilloud Muriel M Duclos Antoine A
BMC health services research 20200401 1
<h4>Background</h4>The "practice makes perfect" concept considers the more frequent a hospital performs a procedure, the better the outcome of the procedure. We aimed to study this concept by investigating whether patient outcomes improve in hospitals with a significantly increased volume of high-risk surgery over time and whether a learning effect existed at the individual hospital level.<h4>Methods</h4>We included all patients who underwent one of 10 digestive, cardiovascular and orthopaedic p ...[more]
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Project description:There were numerous efforts in the United States during the previous decade to concentrate selected surgical procedures in high-volume hospitals. It remains unknown whether referral patterns for high-risk surgery have changed as a result and how operative mortality has been affected.We used national Medicare data to study patients undergoing one of eight different cancer and cardiovascular operations from 1999 through 2008. For each procedure, we examined trends in hospital volume and market concentration, defined as the proportion of Medicare patients undergoing surgery in the top decile of hospitals by volume per year. We used regression-based techniques to assess the effects of volume and market concentration on mortality over time, adjusting for case mix.Median hospital volumes of four cancer resections (lung, esophagus, pancreas, and bladder) and of repair of abdominal aortic aneurysm (AAA) rose substantially. Depending on the procedure, higher hospital volumes were attributable to an increasing number of cases nationwide, an increasing market concentration, or both. Hospital volumes rose slightly for aortic-valve replacement but fell for coronary-artery bypass grafting and carotid endarterectomy. Operative mortality declined for all eight procedures, ranging from a relative decline of 8% for carotid endarterectomy (1.3% mortality in 1999 and 1.2% in 2008) to 36% for AAA repair (4.4% in 1999 and 2.8% in 2008). Higher hospital volumes explained a large portion of the decline in mortality for pancreatectomy (67% of the decline), cystectomy (37%), and esophagectomy (32%), but not for the other procedures.Operative mortality with high-risk surgery fell substantially during the previous decade. Although increased market concentration and hospital volume have contributed to declining mortality with some high-risk cancer operations, declines in mortality with other procedures are largely attributable to other factors. (Funded by the National Institute on Aging.).
| S-EPMC3150488 | biostudies-literature
Project description:ImportanceVarious clinical societies and patient advocacy organizations continue to encourage minimum volume standards at hospitals that perform certain high-risk operations. Although many clinicians and quality and safety experts believe this can improve outcomes, the extent to which hospitals have responded to these discretionary standards remains unclear.ObjectiveTo evaluate the association between short-term clinical outcomes and hospitals' adherence to the Leapfrog Group's minimum volume standards for high-risk cancer surgery.Design, setting, and participantsLongitudinal cohort study using 100% of the Medicare claims for 516 392 patients undergoing pancreatic, esophageal, rectal, or lung resection for cancer between January 1, 2005, and December 31, 2016. Data were accessed between December 1, 2018, and April 30, 2019.ExposuresHigh-risk cancer surgery in hospitals meeting and not meeting the minimum volume standards.Main outcomes and measuresPatients having surgery in hospitals meeting the volume standard and 30-day and in-hospital mortality and complication rates.ResultsOverall, a total of 516 392 procedures (47 318 pancreatic resections, 29 812 esophageal resections, 116 383 rectal resections, and 322 879 lung resections) were included in the study, and patient mean (SD) age was 73.1 (7.5) years. Outcomes improved over time in both hospitals meeting and not meeting the minimum volume standards. Mortality after pancreatic resection decreased from 5.5% in 2005 to 4.8% in 2016 (P for trend <.001). Mortality after esophageal resection decreased from in 6.7% 2005 to 5.0% in 2016 (P for trend <.001). Mortality after rectal resection decreased from 3.6% in 2005 to 2.7 % in 2016 (P for trend <.001). Mortality after lung resection decreased from 4.2% in 2005 to 2.7 % in 2016 (P for trend <.001). Throughout the study period, there were no statistically significant differences in risk-adjusted mortality between hospitals meeting and not meeting the volume standards for esophageal, lung, and rectal cancer resections. Mortality rates after pancreatic resection were consistently lower at hospitals meeting the volume standard, although mortality at all hospitals decreased over the study period. For example, in 2016, risk-adjusted mortality rates for hospitals meeting the volume standard were 3.8% (95% CI, 3.3%-4.3%) compared with 5.7% (95% CI, 5.1%-6.5%) for hospitals that did not. Although an increasing majority of patients underwent surgery in hospitals meeting the Leapfrog volume standards over time, the overall proportion of hospitals meeting the standards in 2016 ranged from 5.6% for esophageal resection to 23.3% for pancreatic resection.Conclusions and relevanceAlthough volume remains an important factor for patient safety, the Leapfrog Group's minimum volume standards did not differentiate hospitals based on mortality for 3 of the 4 high-risk cancer operations assessed, and few hospitals were able to meet these standards. These findings highlight important tradeoffs between setting effective volume thresholds and practical expectations for hospital adherence and patient access to centers that meet those standards.
| S-EPMC6694402 | biostudies-literature
Project description:ImportanceIncreasing demand for cancer care may be outpacing the capacity of hospitals to provide timely treatment, particularly at referral centers such as National Cancer Institute (NCI)-designated and academic centers. Whether the rate of patient volume growth has strained hospital capacity to provide timely treatment is unknown.ObjectiveTo evaluate trends in patient volume by hospital type and the association between a hospital's annual patient volume growth and time to treatment initiation (TTI) for patients with cancer.Design, setting, and participantsThis retrospective, hospital-level, cross-sectional study used longitudinal data from the National Cancer Database from January 1, 2007, to December 31, 2016. Adult patients older than 40 years who had received a diagnosis of 1 of the 10 most common incident cancers and initiated their treatment at a Commission on Cancer-accredited hospital were included. Data were analyzed between December 19, 2019, and March 27, 2020.ExposuresThe mean annual rate of patient volume growth at a hospital.Main outcomes and measuresThe main outcome was TTI, defined as the number of days between diagnosis and the first cancer treatment. The association between a hospital's mean annual rate of patient volume growth and TTI was assessed using a linear mixed-effects model containing a patient volume × time interaction. The mean annual change in TTI over the study period by hospital type was estimated by including a hospital type × time interaction term.ResultsThe study sample included 4 218 577 patients (mean [SD] age, 65.0 [11.4] years; 56.6% women) treated at 1351 hospitals. From 2007 to 2016, patient volume increased 40% at NCI centers, 25% at academic centers, and 8% at community hospitals. In 2007, the mean TTI was longer at NCI and academic centers than at community hospitals (NCI: 50 days [95% CI, 48-52 days]; academic: 43 days [95% CI, 42-44 days]; community: 37 days [95% CI, 36-37 days]); however, the mean annual increase in TTI was greater at community hospitals (0.56 days; 95% CI, 0.49-0.62 days) than at NCI centers (-0.73 days; 95% CI, -0.95 to -0.51 days) and academic centers (0.14 days; 95% CI, 0.03-0.26 days). An annual volume growth rate of 100 patients, a level observed at less than 1% of hospitals, was associated with a mean increase in TTI of 0.24 days (95% CI, 0.18-0.29 days).Conclusions and relevanceIn this cross-sectional study, from 2007 to 2016, across the studied cancer types, patients increasingly initiated their cancer treatment at NCI and academic centers. Although increases in patient volume at these centers outpaced that at community hospitals, faster growth was not associated with clinically meaningful treatment delays.
| S-EPMC8271360 | biostudies-literature
Project description:BackgroundIn numerous high-risk medical and surgical conditions, a greater volume of patients undergoing treatment in a given setting or facility is associated with better survival. For patients with pulmonary embolism, the relation between the number of patients treated in a hospital (volume) and patient outcome is unknown.MethodsWe studied discharge records from 186 acute care hospitals in Pennsylvania for a total of 15 531 patients for whom the primary diagnosis was pulmonary embolism. The study outcomes were all-cause mortality in hospital and within 30 days after presentation for pulmonary embolism and the length of hospital stay. We used logistic models to study the association between hospital volume and 30-day mortality and discrete survival models to study the association between in-hospital mortality and time to hospital discharge.ResultsThe median annual hospital volume for pulmonary embolism was 20 patients (interquartile range 10-42). Overall in-hospital mortality was 6.0%, whereas 30-day mortality was 9.3%. In multivariable analysis, very-high-volume hospitals (> or = 42 cases per year) had a significantly lower odds of in-hospital death (odds ratio [OR] 0.71, 95% confidence interval [CI] 0.51-0.99) and of 30-day death (OR 0.71, 95% CI 0.54-0.92) than very-low-volume hospitals (< 10 cases per year). Although patients in the very-high-volume hospitals had a slightly longer length of stay than those in the very-low-volume hospitals (mean difference 0.7 days), there was no association between volume and length of stay.InterpretationIn hospitals with a high volume of cases, pulmonary embolism was associated with lower short-term mortality. Further research is required to determine the causes of the relation between volume and outcome for patients with pulmonary embolism.
| S-EPMC2151125 | biostudies-literature
Project description:IntroductionWe sought to define the individual contributions of patient characteristics (PCs), hospital characteristics (HCs), case volume (CV), and social determinants of health (SDoH) on in-hospital mortality (IHM) after complex cancer surgery.MethodsThe California Department of Health Care Access and Information database identified patients who underwent esophagectomy (ES), pneumonectomy (PN), pancreatectomy (PD), or proctectomy (PR) for a malignant diagnosis between 2010 and 2020. Multi-level multivariable regression was performed to assess the proportion of variance explained by PCs, HCs, CV and SDoH on IHM.ResultsA total of 52,838 patients underwent cancer surgery (ES: n = 2,700, 5.1%; PN: n = 30,822, 58.3%; PD: n = 7530, 14.3%; PR: n = 11,786, 22.3%) across 294 hospitals. The IHM for the overall cohort was 1.7% and varied from 4.4% for ES to 0.8% for PR. On multivariable regression, PCs contributed the most to the variance in IHM (overall: 32.0%; ES: 21.6%; PN: 28.0%; PD: 20.3%; PR: 39.9%). Among the overall cohort, CV contributed 2.4%, HCs contributed 1.3%, and SDoH contributed 1.2% to the variation in IHM. CV was the second highest contributor to IHM among ES (5.3%), PN (5.3%), and PD (5.9%); however, HCs were a more important contributor among patients who underwent PR (8.0%). The unexplained variance in IHM was highest among ES (72.4%), followed by the PD (67.5%) and PN (64.6%) patient groups.ConclusionsPCs are the greatest underlying contributor to variations in IHM following cancer surgery. These data highlight the need to focus on optimizing patients and exploring unexplained sources of IHM to improve quality of surgical care.
| S-EPMC10997543 | biostudies-literature
Project description:OBJECTIVES:Clinical providers have access to a number of pharmacologic agents during in-hospital cardiac arrest. Few studies have explored medication administration patterns during in-hospital cardiac arrest. Herein, we examine trends in use of pharmacologic interventions during in-hospital cardiac arrest both over time and with respect to the American Heart Association Advanced Cardiac Life Support guideline updates. DESIGN:Observational cohort study. SETTING:Hospitals contributing data to the American Heart Association Get With The Guidelines-Resuscitation database between 2001 and 2016. PATIENTS:Adult in-hospital cardiac arrest patients. INTERVENTIONS:The percentage of patients receiving epinephrine, vasopressin, amiodarone, lidocaine, atropine, bicarbonate, calcium, magnesium, and dextrose each year were calculated in patients with shockable and nonshockable initial rhythms. Hierarchical multivariable logistic regression was used to determine the annual adjusted odds of medication administration. An interrupted time series analysis was performed to assess change in atropine use after the 2010 American Heart Association guideline update. MEASUREMENTS AND MAIN RESULTS:A total of 268,031 index in-hospital cardiac arrests were included. As compared to 2001, the adjusted odds ratio of receiving each medication in 2016 were epinephrine (adjusted odds ratio, 1.5; 95% CI, 1.3-1.8), vasopressin (adjusted odds ratio, 1.5; 95% CI, 1.1-2.1), amiodarone (adjusted odds ratio, 3.4; 95% CI, 2.9-4.0), lidocaine (adjusted odds ratio, 0.2; 95% CI, 0.2-0.2), atropine (adjusted odds ratio, 0.07; 95% CI, 0.06-0.08), bicarbonate (adjusted odds ratio, 2.0; 95% CI, 1.8-2.3), calcium (adjusted odds ratio, 2.0; 95% CI, 1.7-2.3), magnesium (adjusted odds ratio, 2.2; 95% CI, 1.9-2.7; p < 0.0001), and dextrose (adjusted odds ratio, 2.8; 95% CI, 2.3-3.4). Following the 2010 American Heart Association guideline update, there was a downward step change in the intercept and slope change in atropine use (p < 0.0001). CONCLUSIONS:Prescribing patterns during in-hospital cardiac arrest have changed significantly over time. Changes to American Heart Association Advanced Cardiac Life Support guidelines have had a rapid and substantial effect on the use of a number of commonly used in-hospital cardiac arrest medications.
| S-EPMC6336500 | biostudies-literature
Project description:BackgroundThe association between out-of-hospital cardiac arrest patient survival and advanced life support response time remained controversial. We aimed to test the hypothesis that for adult, non-traumatic, out-of-hospital cardiac arrest patients, a shorter advanced life support response time is associated with a better chance of survival. We analyzed Utstein-based registry data on adult, non-traumatic, out-of-hospital cardiac arrest patients in Taipei from 2011 to 2015.MethodsPatients without complete data, witnessed by emergency medical technicians, or with response times of ≥ 15 minutes, were excluded. We used logistic regression with an exposure of advanced life support response time. Primary and secondary outcomes were survival to hospital discharge and favorable neurological outcomes (cerebral performance category ≤ 2), respectively. Subgroup analyses were based on presenting rhythms of out-of-hospital cardiac arrest, bystander cardiopulmonary resuscitation, and witness status.ResultsA total of 4,278 cases were included in the final analysis. The median advanced life support response time was 9 minutes. For every minute delayed in advanced life support response time, the chance of survival to hospital discharge would reduce by 7% and chance of favorable neurological outcome by 9%. Subgroup analysis showed that a longer advanced life support response time was negatively associated with the chance of survival to hospital discharge among out-of-hospital cardiac arrest patients with shockable rhythm and pulse electrical activity groups.ConclusionsIn non-traumatic, adult, out-of-hospital cardiac arrest patients in Taipei, a longer advanced life support response time was associated with declining odds of survival to hospital discharge and favorable neurologic outcomes, especially in patients presenting with shockable rhythm and pulse electrical activity.
| S-EPMC9009650 | biostudies-literature
Project description:ObjectiveThe specific objectives of this study were to examine variation in the care of self-harm patients in hospital settings and to identify the factors that predict recommended next care following self-harm.MethodsData on consecutive presentations to Irish emergency departments (EDs) involving self-harm from the National Self-Harm Registry Ireland from 2004 to 2012 were utilised. Univariate and multivariate regression analyses were performed to assess the associations between patients' clinical and demographic characteristics, and recommended next care received.ResultsAcross the study period a total 101,904 self-harm presentations were made to hospital EDs, involving 63,457 individuals. Over the course of the study there was a declining number of presentations resulting in patient admission following attendance with self-harm. Recommended next care varied according to hospital location, with general admission rates ranging from 11% to 61% across administrative health regions. Multinomial logistic regression identified that the factor which most strongly affected next care was the presenting hospital. Being male, older age, method, repeat self-harm, time of attendance and residence of the patient were all identified as influencing care received. Psychiatric admission was most common when highly lethal methods of self-harm were used (OR = 4.00, 95% CI, 3.63-4.41). A relatively large proportion of patients left the ED without being seen (15%) and the risk of doing so was highest for self-harm repeaters (1.64, 1.55-1.74 for those with 5+ presentations).ConclusionsThe extensive hospital variation in recommended next care indicates that management of self-harm patients may be determined more by where they present than by the needs of the patient. The study outcomes underline the need to standardise the clinical management of self-harm patients in general hospital settings.
| S-EPMC5832269 | biostudies-literature
Project description:BackgroundGeriatric patients require specialized perioperative care, yet the impact of geriatric surgery proportion (a measure of experience) and geriatric surgery volume, on clinical outcomes is unknown. This study analyzes the association between proportion and volume and clinical outcomes after high-risk geriatric surgery.MethodsUsing the 2014 National Inpatient Sample, hospital encounters for older adults (≥65 years) undergoing high-risk geriatric surgery were identified. Geriatric surgery volume was defined as a hospital's annual volume of geriatric patients undergoing high-risk geriatric surgery. Geriatric surgery proportion was calculated as volume divided by the sum of high-risk surgeries in all ages. Hierarchical multivariable regression models identified predictors of inpatient mortality, postoperative length of stay, and discharge to nursing facility.ResultsThere were an estimated 514,950 hospital encounters for older adults undergoing high-risk geriatric surgery from 3,115 hospitals. Mean proportion was 0.53 ± 0.19; median volume was 60 cases per year, ranging from 5 to 3,235. After adjustment, comparing the 90th to 10th percentiles, higher proportion was associated with decreased mortality (odds ratio [95% confidence interval] 0.81 [0.73-0.88]; P < .001) and shorter postoperative length of stay (-4.44% (-5.49 to -3.39%); P < .0001). Higher volume was not associated with mortality but was associated with longer length of stay (7.76% [6.75-8.77%]; P < .0001) and decreased discharge to nursing facility (0.87 [0.79-0.95]; P= .003).ConclusionTreatment of geriatric patients at hospitals with the highest proportion of high-risk geriatric surgery, or the most experience, is associated with improved outcomes. High-proportion hospitals should be examined to understand the mechanisms by which better quality geriatric surgical care is achieved, while lower-proportion hospitals may be targets for quality improvement efforts.
| S-EPMC8019519 | biostudies-literature
Project description:ObjectivesFor oncological care, there is a clear tendency towards centralisation and collaboration aimed at improving patient outcomes. However, in market-based healthcare systems, this trend is related to the potential trade-off between hospital volume and hospital competition. We analyse the association between hospital volume, competition from neighbouring hospitals and outcomes for patients who underwent surgery for invasive breast cancer (IBC).Outcome measuresSurgical margins, 90 days re-excision, overall survival.Design, setting, participantsIn this population-based study, we use data from the Netherlands Cancer Registry. Our study sample consists of 136 958 patients who underwent surgery for IBC between 2004 and 2014 in the Netherlands.ResultsOur findings show that treatment types as well as patient and tumour characteristics explain most of the variation in all outcomes. After adjusting for confounding variables and intrahospital correlation in multivariate logistic regressions, hospital volume and competition from neighbouring hospitals did not show significant associations with surgical margins and re-excision rates. For patients who underwent surgery in hospitals annually performing 250 surgeries or more, multilevel Cox proportional hazard models show that survival was somewhat higher (HR 0.94). Survival in hospitals with four or more (potential) competitors within 30 km was slightly higher (HR 0.97). However, this effect did not hold after changing this proxy for hospital competition.ConclusionsBased on the selection of patient outcomes, hospital volume and regional competition appear to play only a limited role in the explanation of variation in IBC outcomes across Dutch hospitals. Further research into hospital variation for high-volume tumours like the one studied here is recommended to (i) use consistently measured quality indicators that better reflect multidisciplinary clinical practice and patient and provider decision-making, (ii) include more sophisticated measures for hospital competition and (iii) assess the entire process of care within the hospital, as well as care provided by other providers in cancer networks.
| S-EPMC9045096 | biostudies-literature