scholarly journals HOSPITAL TEACHING STATUS ON THE INCIDENCE OF POSTPROCEDURAL PNEUMOTHORAX: A RETROSPECTIVE NATIONAL IN-PATIENT SAMPLE STUDY

CHEST Journal ◽  
2021 ◽  
Vol 160 (4) ◽  
pp. A2055
Author(s):  
Richard Ogunti ◽  
Sahai Donaldson ◽  
Tewabe Belay ◽  
Lamiaa Rougui ◽  
Mahbubur Sumon ◽  
...  
Author(s):  
Robert Brochin ◽  
Jashvant Poeran ◽  
Khushdeep S. Vig ◽  
Aakash Keswani ◽  
Nicole Zubizarreta ◽  
...  

AbstractGiven increasing demand for primary knee arthroplasties, revision surgery is also expected to increase, with periprosthetic joint infection (PJI) a main driver of costs. Recent data on national trends is lacking. We aimed to assess trends in PJI in total knee arthroplasty revisions and hospitalization costs. From the National Inpatient Sample (2003–2016), we extracted data on total knee arthroplasty revisions (n = 782,449). We assessed trends in PJI prevalence and (inflation-adjusted) hospitalization costs (total as well as per-day costs) for all revisions and stratified by hospital teaching status (rural/urban by teaching status), hospital bed size (≤299, 300–499, and ≥500 beds), and hospital region (Northeast, Midwest, South, and West). The Cochran–Armitage trend test (PJI prevalence) and linear regression determined significance of trends. PJI prevalence overall was 25.5% (n = 199,818) with a minor increasing trend: 25.3% (n = 7,828) in 2003 to 28.9% (n = 19,275) in 2016; p < 0.0001. Median total hospitalization costs for PJI decreased slightly ($23,247 in 2003–$20,273 in 2016; p < 0.0001) while median per-day costs slightly increased ($3,452 in 2003–$3,727 in 2016; p < 0.0001), likely as a function of decreasing length of stay. With small differences between hospitals, the lowest and highest PJI prevalences were seen in small (≤299 beds; 22.9%) and urban teaching hospitals (27.3%), respectively. In stratification analyses, an increasing trend in PJI prevalence was particularly seen in larger (≥500 beds) hospitals (24.4% in 2003–30.7% in 2016; p < 0.0001), while a decreasing trend was seen in small-sized hospitals. Overall, PJI in knee arthroplasty revisions appears to be slightly increasing. Moreover, increasing trends in large hospitals and decreasing trends in small-sized hospitals suggest a shift in patients from small to large volume hospitals. Decreasing trends in total costs, alongside increasing trends in per-day costs, suggest a strong impact of length of stay trends and a more efficient approach to PJI over the years (in terms of shorter length of stay).


2012 ◽  
Vol 34 (8) ◽  
pp. 864-875 ◽  
Author(s):  
Joseph T. Duffin ◽  
D. Ronan Collins ◽  
Tara Coughlan ◽  
Desmond O'Neill ◽  
Richard A. P. Roche ◽  
...  

1981 ◽  
Vol 35 (2-3) ◽  
pp. 96-109 ◽  
Author(s):  
H.J. Kimm ◽  
Waltraud Bolz ◽  
A.-E. Meyer

JAMA ◽  
2017 ◽  
Vol 317 (20) ◽  
pp. 2105 ◽  
Author(s):  
Laura G. Burke ◽  
Austin B. Frakt ◽  
Dhruv Khullar ◽  
E. John Orav ◽  
Ashish K. Jha
Keyword(s):  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Judith E. Appel ◽  
Janna N. Vrijsen ◽  
Igor Marchetti ◽  
Eni S. Becker ◽  
Rose M. Collard ◽  
...  

2003 ◽  
Vol 16 (1) ◽  
pp. 24-38 ◽  
Author(s):  
G. H. Pink ◽  
M. A. Murray ◽  
I. McKillop

The objective of this study was to investigate the relationship between efficiency and patient satisfaction for a sample of general, acute care hospitals in Ontario, Canada. A measure of patient satisfaction at the hospital level was constructed using data from a province-wide survey of patients in mid-1999. A measure of efficiency was constructed using data from a cost model used by the Ontario Ministry of Health, the primary funder of hospitals in Ontario. In accordance with previous studies, the model also included measures of hospital size, teaching status and rural location. Based on the results of this study, at a 95% confidence level, there does appear to be evidence to suggest that an inverse relationship between hospital efficiency and patient satisfaction exists. However, the magnitude of the effect appears to be small. Hospital size and teaching status also appear to affect satisfaction, with lower satisfaction scores reported among non-teaching and larger hospitals. This study did not find any evidence to suggest that hospital location (rural versus urban) or religious affiliation contributed to reports of patient satisfaction in any way not explained by the other measures included in the study. The findings imply that low patient satisfaction cannot be explained by excessive management concentration on efficiency. Managers should analyse some of the underlying causes of patient dissatisfaction before reconfiguring resources. It may be beneficial in larger hospitals to study the aspects of care that patients have reported they prefer in small hospitals.


Sign in / Sign up

Export Citation Format

Share Document