The Regionalization of Total Ankle Arthroplasties and Ankle Fusions in New York State: A 10-Year Comparative Analysis

2016 ◽  
Vol 10 (3) ◽  
pp. 210-215 ◽  
Author(s):  
John A. Buza ◽  
James X. Liu ◽  
Jeffrey Jancuska ◽  
Joseph A. Bosco
Keyword(s):  
New York ◽  
New York State ◽  
High Volume ◽  
Case Control ◽  
Cooperative System ◽  
York State ◽  
State Institutions ◽  
Statewide Planning ◽  
Low Volume ◽  
Zip Code

Background. Total ankle arthroplasty (TAA) provides an alternative to ankle fusion (AF). The purpose of this study is to (1) determine the extent of TAA regionalization, as well as examine the growth of TAA performed at high-, medium-, and low-volume New York State institutions and (2) compare this regionalization and growth with AF. Methods. The New York Statewide Planning and Research Cooperative System (SPARCS) administrative data were used to identify 737 primary TAA and 7453 AF from 2005 to 2014. The volume of TAA and AF surgery in New York State was mapped according to patient and hospital 3-digit zip code. Results. The number of TAA per year grew 1500% (from 11 to 177) from 2005 to 2014, while there was a 35.6% reduction (from 895 to 576) in yearly AF procedures. TAA recipients were widely distributed throughout the state, while TAA procedures were regionalized to a few select metropolitan centers. AF procedures were performed more uniformly than TAA. The number of TAA has continued to increase at high- (15 to 91) and medium-volume (14 to 67) institutions where it has decreased at low-volume institutions (44 to 19). Conclusion. The increased utilization of TAA is attributed to relatively few high-volume centers located in major metropolitan centers. Levels of Evidence: Level IV: well-designed case-control or cohort studies

340 Trends and Disparities in Cervical Spine Fusion Procedure Utilization in the New York State

Neurosurgery ◽  
2017 ◽  
Vol 64 (CN_suppl_1) ◽  
pp. 276-276
Author(s):  
Rui Feng ◽  
Mark Finkelstein ◽  
Eric Karl Oermann ◽  
Michael Palese ◽  
John M Caridi
Keyword(s):  
New York ◽  
African American ◽  
Cervical Spine ◽  
New York State ◽  
High Volume ◽  
Spine Fusion ◽  
York State ◽  
High Volume Hospital ◽  
Low Volume ◽  
Cervical Spine Fusion

Abstract INTRODUCTION There has been a steady increase in spinal fusion procedures performed each year in the US, especially cervical and lumbar fusion. Our study aims to analyze the rate of increase at low-, medium-, and high-volume hospitals, and socioeconomic characteristics of the patient populations at these three volume categories. METHODS We searched the New York State, Statewide Planning and Research Cooperative System (SPARCS) database from 2005 to 2014 for the ICD-9-CM Procedure Codes 81.01 (Fusion, atlas-axis), 81.02 (Fusion, anterior column, other cervical, anterior technique), and 81.03 (Fusion, posterior column, other cervical, posterior technique). Patients' primary diagnosis (ICD-9-CM), age, race/ethnicity, primary payment method, severity of illness, length of stay, hospital of operation were included. We categorized all 122 hospitals high-, medium-, and low-volume. We then described the trends in annual number of cervical spine fusion surgeries in each of the three hospital volume groups using descriptive statistics. RESULTS >African American patients were significantly greater portion of patients receiving care at low-volume hospitals, 15.1% versus 11.6% at high-volume hospital. Medicaid and self-pay patients were also overrepresented at low-volume centers, 6.7% and 3.9% versus 2.6% and 1.7% respectively at high-volume centers. In addition, Compared with Caucasian patients, African American patients had higher rates of post-operative infection (P = 0.0020) and post-operative bleeding (P = 0.0044). Compared with privately insured patients, Medicaid patients had a higher rate of post-operative bleeding (P = 0.0266) and in-hospital mortality (P = 0.0031). CONCLUSION Our results showed significant differences in racial distribution and primary payments methods between the low- and high-volume categories, and suggests that accessibility to care at high-volume centers remains problematic for these disadvantaged populations.

Analysis of outpatient HER2 testing in New York state using the statewide planning and research cooperative system

2018 ◽  
Vol 19 (18) ◽  
pp. 1395-1401 ◽  
Author(s):  
Erik Hefti ◽  
David M Jacobs ◽  
Khyatiben Rana ◽  
Javier G Blanco
Keyword(s):  
New York ◽  
New York State ◽  
Cooperative System ◽  
York State ◽  
Her2 Testing ◽  
Statewide Planning

scholarly journals Contemporary Trends in Percutaneous Nephrolithomy Across New York State: A Review of the Statewide Planning and Research Cooperative System

2019 ◽  
Vol 33 (9) ◽  
pp. 699-703
Author(s):  
Neel H. Patel ◽  
Suraj S. Parikh ◽  
Jonathan B. Bloom ◽  
Ariel Schulman ◽  
Jonathan Wagmaister ◽  
...  
Keyword(s):  
New York ◽  
New York State ◽  
Cooperative System ◽  
York State ◽  
Statewide Planning

scholarly journals A large-scale retrospective study of opioid poisoning in New York State with implications for targeted interventions

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xin Chen ◽  
Wei Hou ◽  
Sina Rashidian ◽  
Yu Wang ◽  
Xia Zhao ◽  
...  
Keyword(s):  
New York ◽  
Race And Ethnicity ◽  
Large Scale ◽  
New York State ◽  
Temporal Trends ◽  
Opioid Overdose ◽  
York State ◽  
Targeted Interventions ◽  
Level Data ◽  
Zip Code

AbstractOpioid overdose related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of opioid poisoning (OP). To discover trends and patterns of opioid poisoning and the demographic and regional disparities, we analyzed large scale patient visits data in New York State (NYS). Demographic, spatial, temporal and correlation analyses were performed for all OP patients extracted from the claims data in the New York Statewide Planning and Research Cooperative System (SPARCS) from 2010 to 2016, along with Decennial US Census and American Community Survey zip code level data. 58,481 patients with at least one OP diagnosis and a valid NYS zip code address were included. Main outcome and measures include OP patient counts and rates per 100,000 population, patient level factors (gender, age, race and ethnicity, residential zip code), and zip code level social demographic factors. The results showed that the OP rate increased by 364.6%, and by 741.5% for the age group > 65 years. There were wide disparities among groups by race and ethnicity on rates and age distributions of OP. Heroin and non-heroin based OP rates demonstrated distinct temporal trends as well as major geospatial variation. The findings highlighted strong demographic disparity of OP patients, evolving patterns and substantial geospatial variation.

Mortality Risk of Inflammatory Bowel Disease: A Case–Control Study of New York State Death Records

2019 ◽  
Vol 64 (6) ◽  
pp. 1604-1611 ◽  
Author(s):  
Angelica Nocerino ◽  
Alexandra Feathers ◽  
Elena Ivanina ◽  
Laura Durbin ◽  
Arun Swaminath
Keyword(s):  
Inflammatory Bowel Disease ◽  
New York ◽  
Bowel Disease ◽  
Case Control Study ◽  
New York State ◽  
Case Control ◽  
York State ◽  
Inflammatory Bowel ◽  
State Death ◽  
Control Study

scholarly journals Using Scan Statistic to Detect Heroin Overdose Clusters with Hospital Emergency Room Visit Data

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Jianhua Chen ◽  
Hwa-Gan Chang ◽  
Mark Hammer ◽  
Nicole D'Anna ◽  
Kitty Gelberg
Keyword(s):  
New York ◽  
Syndromic Surveillance ◽  
New York State ◽  
Time Span ◽  
Scan Statistic ◽  
Hospital Emergency ◽  
York State ◽  
Heroin Overdose ◽  
Chief Complaints ◽  
Zip Code

ObjectiveTo utilize syndromic surveillance data timely detecting herion overdose outbreaks in the community.IntroductionEarly detection of heroin overdose clusters is important in the current battle against the opioid crisis to effectively implement prevention and control measures. The New York State syndromic surveillance system collects hospital emergency department (ED) visit data, including visit time, chief complaint, and patient zip code. This data can be used to timely identify potential heroin overdose outbreaks by detecting spatial-temporal case clusters with scan statistic.MethodsHeroin overdose cases (Heroin_OD) were identified from ED visits by searching Heroin_OD key terms in the chief complaints. Then the space-time permutation model (using the SaTScan package) was applied to detect clusters of Heroin_OD. ED visit date served as the time variable and the case residential zip code was the spatial coordinate variable for the SaTScan analysis. A SAS program was developed to carry out the prospective scan statistics analysis weekly and produces reports of detected clusters in table and map format. Cluster detection parameters were set to detect heroin overdose aggregation in maximum geographic radium of 20 kilometer (km) and maximum time span up of 21 days at the P-value <= 0.05. Chief complaints within the clusters are reviewed to ensure accuracy of detection. Messages have been developed and are shared with community members including law enforcement and public health identifying the cluster and offering suggestions of activities that can occur at the local level to identify and address the cause of the cluster, as well as to reduce potential harm. This includes the 23 syringe exchange programs (SEPs) regulated by the New York State Department of Health.ResultsUsing ED visit data from 138 NY upstate hospitals, a total of 12 Heroin_OD clusters were detected by the SaTScan analysis during the period of 9/1/2016 through 9/17/2017. There were 845 cases identified. The average age was 35 years and ranged from 7 to 95 years. Sixty nine percent (69%) of the cases was in 20 to 39 age group and 66% in males. A cluster was identified earlier 2017 in Suffolk County, and the local SEP was alerted. This encouraged communication between partners within the alerted county which ultimately resulted in identifying the substance endangering people who used drugs in the area. It also helped public health to partner with public safety, ensuring that the availability of the substance was interrupted.ConclusionsAs the space-time permutation scan statistic only requires disease counts, event date and disease location, the method can be easily implemented for detecting disease outbreaks using data routinely collected from disease surveillance systems. The current study showed that scan statistic is a useful tool for identifying clusters of non-fatal overdoses from specific drugs. This method also returns important information to assist outbreak investigations, such as geographic location and time-span of the potential outbreaks. 

MP27-12 HIGH VOLUME SURGEONS ARE ASSOCIATED WITH LOWER COST OF RADICAL PROSTATECTOMY IN NEW YORK STATE

2020 ◽  
Vol 203 ◽  
pp. e414-e415
Author(s):  
Zhan Wu* ◽  
Christopher Haas ◽  
Jun Lu ◽  
Gen Li ◽  
Elias Hyams
Keyword(s):  
New York ◽  
Radical Prostatectomy ◽  
Lower Cost ◽  
New York State ◽  
High Volume ◽  
York State
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