In‐hospital survival after pancreatoduodenectomy is greater in high‐volume hospitals versus lower‐volume hospitals: a meta‐analysis

2021 ◽  
Author(s):  
Joshua G. Kovoor ◽  
Ning Ma ◽  
David R. Tivey ◽  
Meegan Vandepeer ◽  
Jonathan Henry W. Jacobsen ◽  
...  
2021 ◽  
pp. 135581962110089
Author(s):  
Roberto Grilli ◽  
Federica Violi ◽  
Maria Chiara Bassi ◽  
Massimiliano Marino

Objectives To review the evidence of the effects of centralization of cancer surgery on postoperative mortality. Methods We searched Medline, Embase, Cinahl, Cochrane and Scopus (up to November 2019) for studies that (i) assessed the effects of centralization of cancer surgery policies on in-hospital or 30-day mortality, or (ii) described changes in both postoperative mortality for a surgical intervention and degree of centralization using reduction in the number of hospitals or increases in the proportion of patients undergoing cancer surgery at high volume hospitals as proxy. PRISMA guidelines were followed. We estimated pooled odds ratios (OR) and conducted meta-regression to assess the relationship between degree of centralization and mortality. Results A total of 41 studies met our inclusion criteria of which 15 evaluated the effect of centralization policies on postoperative mortality after cancer surgery and 26 described concurrent changes in the degree of centralization and postoperative mortality. Policy evaluation studies mainly used before-after designs (n = 13) or interrupted time series analysis (n = 2), mainly focusing on pancreatic, oesophageal and gastric cancer. All but one showed some degree of reduction in postoperative mortality, with statistically significant effects demonstrated by six studies. The pooled odds ratio for centralization policy effect was 0.68 (95% Confidence interval: 0.54–0.85; I2 = 80%). Meta-regression analysis of the 26 descriptive studies found that an increase of the proportion of patients treated at high volume hospitals was associated with greater reduction in postoperative mortality. Conclusions Centralization of cancer surgery is associated with reduced postoperative mortality. However, existing evidence tends to be of low quality and estimates of the effect size are likely inflated. There is a need for prospective studies using more robust approaches, and for centralization efforts to be accompanied by well-designed evaluations of their effectiveness.


BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e022797 ◽  
Author(s):  
Xiang-Dong Wu ◽  
Meng-Meng Liu ◽  
Ya-Ying Sun ◽  
Zhi-Hu Zhao ◽  
Quan Zhou ◽  
...  

IntroductionJoint arthroplasty is a particularly complex orthopaedic surgical procedure performed on joints, including the hip, knee, shoulder, ankle, elbow, wrist and even digit joints. Increasing evidence from volume–outcomes research supports the finding that patients undergoing joint arthroplasty in high-volume hospitals or by high-volume surgeons achieve better outcomes, and minimum case load requirements have been established in some areas. However, the relationships between hospital/surgeon volume and outcomes in patients undergoing arthroplasty are not fully understood. Furthermore, whether elective arthroplasty should be restricted to high-volume hospitals or surgeons remains in dispute, and little is known regarding where the thresholds should be set for different types of joint arthroplasties.Methods and analysesThis is a protocol for a suite of systematic reviews and dose–response meta-analyses, which will be amended and updated in conjunction with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols. Electronic databases, including PubMed and Embase, will be searched for observational studies examining the relationship between the hospital or surgeon volume and clinical outcomes in adult patients undergoing primary or revision of joint arthroplasty. We will use records management software for study selection and a predefined standardised file for data extraction and management. Quality will be assessed using the Newcastle-Ottawa Scale, and the meta-analysis, subgroup analysis and sensitivity analysis will be performed using Stata statistical software. Once the volume–outcome relationships are established, we will examine the potential non-linear relationships between hospital/surgeon volume and outcomes and detect whether thresholds or turning points exist.Ethics and disseminationEthical approval is not required, because these studies are based on aggregated published data. The results of this suite of systematic reviews and meta-analyses will be submitted to peer-reviewed journals for publication.PROSPERO registration numberCRD42017056639.


Surgery ◽  
2018 ◽  
Vol 163 (6) ◽  
pp. 1272-1279 ◽  
Author(s):  
Giovanni Marchegiani ◽  
Stefano Andrianello ◽  
Alex Borin ◽  
Chiara Dal Borgo ◽  
Giampaolo Perri ◽  
...  

2020 ◽  
pp. 204748732095717
Author(s):  
Sebastiaan Blok ◽  
Eva L van der Linden ◽  
G Aernout Somsen ◽  
Igor I Tulevski ◽  
Michiel M Winter ◽  
...  

Background eHealth programs can lower blood pressure but also drive healthcare costs. This study aims to review the evidence on the effectiveness and costs of eHealth for hypertension and assess commonalities in programs with high effect and low additional cost. Results Overall, the incremental decrease in systolic blood pressure using eHealth, compared to usual care, was 3.87 (95% confidence interval (CI) 2.98–4.77) mmHg at 6 months and 5.68 (95% CI 4.77–6.59) mmHg at 12 months’ follow-up. High intensity interventions were more effective, resulting in a 2.6 (95% CI 0.5–4.7) (at 6 months) and 3.3 (95% CI 1.4–5.1) (at 12 months) lower systolic blood pressure, but were also more costly, resulting in €170 (95% CI 56–284) higher costs at 6 months and €342 (95% CI 128–556) at 12 months. Programs that included a high volume of participants showed €203 (95% CI 99–307) less costs than those with a low volume at 6 months, and €525 (95% CI 299–751) at 12 months without showing a difference in systolic blood pressure. Studies that implemented eHealth as a partial replacement, rather than addition to usual care, were also less costly (€119 (95% CI –38–201 at 6 months) and €346 (95% CI 261–430 at 12 months)) without being less effective. Evidence on eHealth programs for hypertension is ambiguous, heterogeneity on effectiveness and costs is high ( I2 = 56–98%). Conclusion Effective eHealth with limited additional costs should focus on high intensity interventions, involve a large number of participants and use eHealth as a partial replacement for usual care.


2020 ◽  
Vol 37 (4) ◽  
pp. 180-186 ◽  
Author(s):  
Christopher Price ◽  
Stephen McCarthy ◽  
Angela Bate ◽  
Peter McMeekin

ObjectiveEvidence favours centralisation of emergency care for specific conditions, but it remains unclear whether broader implementation improves outcomes and efficiency. Routine healthcare data examined consolidation of three district general hospitals with mixed medical admission units (MAU) into a single high-volume site directing patients from the ED to specialty wards with consultant presence from 08:00 to 20:00.MethodsConsecutive unscheduled adult index admissions from matching postcode areas were identified retrospectively in Hospital Episode Statistics over a 3-year period: precentralisation baseline (from 16 June 2014 to 15 June 2015; n=18 586), year 1 postcentralisation (from 16 June 2015 to 15 June 2016; n=16 126) and year 2 postcentralisation (from 16 June 2016 to 15 June 2017; n=17 727). Logistic regression including key demographic covariates compared baseline with year 1 and year 2 probabilities of mortality and daily discharge until day 60 after admission and readmission within 60 days of discharge.ResultsRelative to baseline, admission postcentralisation was associated with favourable OR (95% CI) for day 60 mortality (year 1: 0.95 (0.88 to 1.02), p=0.18; year 2: 0.94 (0.91 to 0.97), p<0.01), mainly among patients aged 80+ years (year 1: 0.88 (0.79 to 0.97); year 2: 0.91 (0.87 to 0.96)). The probability of being discharged alive on any day since admission increased (year 1: 1.07 (1.04 to 1.10), p<0.01; year 2: 1.04 (1.02 to 1.05), p<0.01) and the risk of readmission decreased (year 1: 0.90 (0.87 to 0.94), p<0.01; year 2: 0.92 (0.90 to 0.94), p<0.01).ConclusionA centralised site providing early specialist care was associated with improved short-term outcomes and efficiency relative to lower volume ED admitting to MAU, particularly for older patients.


2014 ◽  
Vol 120 (3) ◽  
pp. 605-611 ◽  
Author(s):  
Hieronymus D. Boogaarts ◽  
Martinus J. van Amerongen ◽  
Joost de Vries ◽  
Gert P. Westert ◽  
André L. M. Verbeek ◽  
...  

Object Increasing evidence exists that treatment of complex medical conditions in high-volume centers is found to improve outcome. Patients with subarachnoid hemorrhage (SAH), a complex disease, probably also benefit from treatment at a high-volume center. The authors aimed to determine, based on published literature, whether a higher hospital caseload is associated with improved outcomes of patients undergoing treatment after aneurysmal subarachnoid hemorrhage. Methods The authors identified studies from MEDLINE, Embase, and the Cochrane Library up to September 28, 2012, that evaluated outcome in high-volume versus low-volume centers in patients with SAH who were treated by either clipping or endovascular coiling. No language restrictions were set. The compared outcome measure was in-hospital mortality. Mortality in studies was pooled in a random effects meta-analysis. Study quality was reported according to the GRADE (Grading of Recommendations Assessment, Development and Evaluation) criteria. Results Four articles were included in this analysis, representing 36,600 patients. The quality of studies was graded low in 3 and very low in 1. Meta-analysis using a random effects model showed a decrease in hospital mortality (OR 0.77 [95% CI 0.60–0.97]; p = 0.00; I2 = 91%) in high-volume hospitals treating SAH patients. Sensitivity analysis revealed the relative weight of the 1 low-quality study. Removal of the study with very low quality increased the effect size of the meta-analysis to an OR of 0.68 (95% CI 0.56–0.84; p = 0.00; I2 = 86%). The definition of hospital volume differed among studies. Cutoffs and dichotomizations were used as well as division in quartiles. In 1 study, low volume was defined as 9 or fewer patients yearly, whereas in another it was defined as fewer than 30 patients yearly. Similarly, 1 study defined high volume as more than 20 patients annually, and another defined it as more than 50 patients a year. For comparability between studies, recalculation was done with dichotomized data if available. Cross et al., 2003 (low volume ≤ 18, high volume ≥ 19) and Johnston, 2000 (low volume ≤ 31, high volume ≥ 32) provided core data for recalculation. The overall results of this analysis revealed an OR of 0.85 (95% CI 0.72–0.99; p = 0.00; I2 = 87%). Conclusions Despite the shortcomings of this study, the mortality rate was lower in hospitals with a larger caseload. Limitations of the meta-analysis are the not uniform cutoff values and uncertainty about case mix.


2018 ◽  
Vol 25 (1_suppl) ◽  
pp. 3-14 ◽  
Author(s):  
Giovanni Mariscalco ◽  
Daniele Maselli ◽  
Marco Zanobini ◽  
Aamer Ahmed ◽  
Vito D Bruno ◽  
...  

Background Existing evidence suggests that patients affected by acute aortic syndromes (AAS) may benefit from treatment at dedicated specialized aortic centres. The purpose of the present study was to perform a meta-analysis to evaluate the impact aortic service configuration has in clinical outcomes in AAS patients. Methods The design was a quantitative and qualitative review of observational studies. We searched PubMed/ MEDLINE, EMBASE, and Cochrane Library from inception to the end of December 2017 to identify eligible articles. Areas of interest included hospital and surgeon volume activity, presence of a multidisciplinary thoracic aortic surgery program, and a dedicated on-call aortic team. Participants were patients undergoing repair for AAS, and odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were adopted for synthesizing hospital/30-day mortality. Results A total of 79,131 adult patients from a total of 30 studies were obtained. No randomized studies were identified. Pooled unadjusted ORs showed that patients treated in high-volume centres or by high-volume surgeons were associated with lower mortality rates (OR 0.51; 95% CI 0.46–0.56, and OR 0.41, 95% CI 0.25–0.66, respectively). Pooled adjusted estimates for both high-volume centres and surgeons confirmed these survival benefits (adjusted OR, 0.56; 95% CI 0.45–0.70, respectively). Patients treated in centres that introduced a specific multidisciplinary aortic program and a dedicated on-call aortic team also showed a significant reduction in mortality (OR 0.31; 95% CI 0.19–0.5, and OR 0.37; 95% CI 0.15–0.87, respectively). Conclusions We found that specialist aortic care improves outcomes and decreases mortality in patients affected by AAS.


2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 4569-4569 ◽  
Author(s):  
F. J. Bianco ◽  
J. A. Eastham ◽  
A. J. Vickers ◽  
A. M. Serio ◽  
J. Pontes ◽  
...  

4569 Background: We have shown a direct relation between positive margin (PM), morbidity outcomes and surgeon volume, technique after radical prostatectomy (RP). Significant variation occurs even among high volume providers. Our aim was to analyze the surgeon effects on cancer control after RP. Methods: We evaluated 8196 consecutive cT1–3NxMx naive men who underwent RP by one of 76 surgeons within 4 institutions between 1987 and 2003. We calculated the 5-yr probability of recurrence (BCR, PSA elevation >0.4 ng/ml × 2 or initiation of secondary therapy for a PSA rise) for each surgeon assuming a log-logistic survival distribution. A meta-analysis controlling for case mix: PSA, Gleason score, stage, PM and surgical expertise (i.e. cumulative number of surgeries performed) to evaluate for differences in BCR rates between surgeons was performed. We applied the I-square statistic to determine what proportion of the variation represented genuine differences v. chance alone. Results: 33 surgeons performed > 40 RP with 17 surgeons having > 100 procedures during the study period. BCR events were recorded in 1361 patients. The overall 5-yr freedom from BCR with 2524 patients remaining at risk was 80% (79%, 81%) . Extracapsular extension, seminal vesicle invasion, nodal metastasis, PM, Gleason score and PSA were independent predictors of BCR. The surgical volume also correlated independently with BCR. Importanntly we found significant variability on freedom from BCR between high volume surgeons. The I-squared statistic from the meta-analysis was 0.63. That is, approximately 63% of the difference in BCR rates among surgeons can be explained by genuine differences in surgical skill and approach, and approximately 37% is compatible with chance alone. For a sensitivity analysis, we repeated the analysis excluding surgeons who performed less than 100 procedures. In this sub-analysis, the I-squared statistic remained very significant at 0.48. Conclusions: Our data shows that in men treated by RP, the BCR outcomes of men are not exclusively determined by the biology and stage of prostate cancers (explained in most models), but to the surgical skill. Clinical trials evaluating BCR outcomes must prove equivalency among providers so that results are not biased by them. No significant financial relationships to disclose.


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