Special Education Outcomes and Young Australian School Students: A Propensity Score Analysis Replication

2017 ◽  
Vol 41 (1) ◽  
pp. 68-86 ◽  
Author(s):  
Ian Dempsey ◽  
Megan Valentine
Keyword(s):  
Special Education ◽  
Propensity Score ◽  
Propensity Score Analysis ◽  
Learning Problems ◽  
Australian School ◽  
School Students ◽  
Education Outcomes ◽  
Score Analysis ◽  
Specific Subgroup ◽  
Education Support

Using a second cohort of Australian school students, this study repeated the propensity score analysis reported by Dempsey, Valentine, and Colyvas (2016) that found that 2 years after receiving special education support, a group of infant grade students performed significantly less well in academic and social skills in comparison to matched groups of students who did not receive support. Using Longitudinal Study of Australian Children data, the present study found that the second cohort of students with additional needs also performed less well than matched groups of peers and that these results also held true for the specific subgroup of these children with learning disability/learning problems. The ramifications of these results to the delivery of special education in Australia are discussed.

Transition Into and Out of Special Education Services by Young Australian School Children Between 2006 and 2010

2014 ◽  
Vol 38 (2) ◽  
pp. 115-127 ◽  
Author(s):  
Ian Dempsey
Keyword(s):  
Special Education ◽  
School System ◽  
Special Education Services ◽  
Australian School ◽  
School Students ◽  
Education Services ◽  
The Status ◽  
Education Support ◽  
To Receive ◽  
Over Time

The extent to which school students continue to receive special education services over time is largely unknown because longitudinal studies are rare in this area. The present study examined a large Australian longitudinal database to track the status of children who received special education support in 2006 and whether they continued to access such support over a 4-year period. Nearly two thirds of the children receiving additional assistance in 2006 did not receive such assistance 4 years later. There were substantial variations in the principal reason for providing special education services to students over this period, and the relative academic performance of the students who received special education support across the 4 years substantially declined. The findings have ramifications for the way we consider changes in the needs of young children as they progress through the primary school system.

Efficacy of variceal embolisation in patients with TIPS implantation: a propensity score analysis

2018 ◽  
Vol 56 (01) ◽  
pp. E2-E89
Author(s):  
M Giesler ◽  
D Bettinger ◽  
M Rössle ◽  
R Thimme ◽  
M Schultheiss
Keyword(s):  
Propensity Score ◽  
Propensity Score Analysis ◽  
Score Analysis

scholarly journals Morbidity and mortality of lobectomy or pneumonectomy after neoadjuvant treatment: an analysis from the ESTS database

2019 ◽  
Author(s):  
Alessandro Brunelli ◽  
Gaetano Rocco ◽  
Zalan Szanto ◽  
Pascal Thomas ◽  
Pierre Emmanuel Falcoz
Keyword(s):  
Neoadjuvant Chemotherapy ◽  
Propensity Score ◽  
Propensity Score Analysis ◽  
Bronchopleural Fistula ◽  
Neoadjuvant Treatment ◽  
Mortality Rates ◽  
Induction Treatment ◽  
Score Analysis ◽  
Cardiopulmonary Complications ◽  
Lung Resections

Abstract OBJECTIVES To evaluate the postoperative complications and 30-day mortality rates associated with neoadjuvant chemotherapy before major anatomic lung resections registered in the European Society of Thoracic Surgeons (ESTS) database. METHODS Retrospective analysis on 52 982 anatomic lung resections registered in the ESTS database (July 2007–31 December 2017) (6587 pneumonectomies and 46 395 lobectomies); 5143 patients received neoadjuvant treatment (9.7%) (3993 chemotherapy alone and 1150 chemoradiotherapy). To adjust for possible confounders, a propensity case-matched analysis was performed. The postoperative outcomes (morbidity and 30-day mortality) of matched patients with and without induction treatment were compared. RESULTS 8.2% of all patients undergoing lobectomies and 20% of all patients undergoing pneumonectomies received induction treatment. Lobectomy analysis: propensity score analysis yielded 3824 pairs of patients with and without induction treatment. The incidence of cardiopulmonary complications was higher in the neoadjuvant group (626 patients, 16% vs 446 patients, 12%, P < 0.001), but 30-day mortality rates were similar (71 patients, 1.9% vs 75 patients, 2.0%, P = 0.73). The incidence of bronchopleural fistula and prolonged air leak >5 days were similar between the 2 groups (neoadjuvant: 0.5% vs 0.4%, P = 0.87; 9.2% vs 9.9%, P = 0.27). Pneumonectomy analysis: propensity score analysis yielded 1312 pairs of patients with and without induction treatment. The incidence of cardiopulmonary complications was higher in the treated patients compared to those without neoadjuvant treatment (neoadjuvant 275 cases, 21% vs 18%, P = 0.030). However, the 30-day mortality was similar between the matched groups (neoadjuvant 68 cases, 5.2% vs 5.3%, P = 0.86). Finally, the incidence of bronchopleural fistula was also similar between the 2 groups (neoadjuvant 1.8% vs 1.4%, P = 0.44). CONCLUSIONS Neoadjuvant chemotherapy is not associated with an increased perioperative risk after either lobectomy or pneumonectomy, warranting a more liberal use of this approach for patients with locally advanced operable lung cancer.

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