Background: The National Surgical Quality Improvement Program (NSQIP) is widely used in North America for benchmarking. In 2015, NSQIP was introduced to four New South Wales public hospitals. The aim of this study is to investigate the agreement between NSQIP and administrative data in the Australian setting; to compare the performance of models derived from each data set to predict 30-day outcomes.
Methods: The NSQIP and administrative data variables were mapped to select variables available in both data sets where coding may be influenced by interpretation of the clinical information. These were compared for agreement. Logistic regression models were fitted to estimate the probability of adverse outcomes within 30 days. Models derived from NSQIP and administrative data were compared by receiver operating characteristic curve analysis.
Results: A total of 2240 procedures over 21 months had matching records. Functional status demonstrated poor agreement (kappa 0.02): administrative data recorded only one (1%) patient with partial- or total-dependence as recorded by NSQIP data. The American Society of Anesthesiologists class demonstrated excellent agreement (kappa 0.91). Other perioperative variables demonstrated poor to fair agreement (kappa 0.12-0.61). Predictive model based on NSQIP data was excellent at predicting mortality but was less accurate for complications and readmissions. The NSQIP model was better in predicting mortality and complications (receiver operating characteristic curve 0.93 versus 0.87; P = 0.029 and 0.71 versus 0.64; P = 0.027).
Conclusions: There is poor agreement between NSQIP data and administrative data. Predictive models associated with NSQIP data were more accurate at predicting surgical outcomes than those from administrative data. To drive quality improvement in surgery, high-quality clinical data are required and we believe that NSQIP fulfils this function.
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http://dx.doi.org/10.1111/ans.15482 | DOI Listing |
Addict Sci Clin Pract
January 2025
Departments of Family and Community Medicine and Health and Clinical Outcomes Research, Saint Louis University School of Medicine, Saint Louis, MO, USA.
Background: The postpartum period provides an opportunity for birthing people with opioid use disorder (OUD) to consider their future reproductive health goals. However, the relationship between the use of medication for opioid use disorder (MOUD) and contraception utilization is not well understood. We used multistate administrative claims data to compare contraception utilization rates among postpartum people with OUD initiating buprenorphine (BUP) versus no medication (psychosocial services receipt without MOUD (PSY)) in the United States (US).
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Department of Epidemiology, College of Health Sciences, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Background: We sought to determine how the COVID-19 pandemic affected care delivery for HIV patients in Ghana.
Methods: Guided by the Consolidated Framework for Implementation Research (CFIR), we performed a cross-sectional study between May and July 2021 among 40 people living with HIV and 19 healthcare providers caring for HIV patients. In-depth interviews and focus group discussions were done with HIV patients, doctors, nurses, pharmacists, laboratory scientists, data scientists, administrators, and counselors to ascertain barriers and facilitators to HIV care during the pandemic.
BMJ Open Qual
January 2025
Emergency Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Objective: Understanding patients' wishes and preferences during hospitalisation is a crucial component of care. We identified a gap related to documentation of advance directives and patient preferences for care and focused on ensuring appropriate goals of care discussions were occurring and documented. Our aim was to improve the documentation of advance care planning notes to include 80% of targeted hospitalised patients.
View Article and Find Full Text PDFCrit Rev Oncol Hematol
January 2025
Department of Respiratory and Critical Care Medicine, Institute of Respiratory Health, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China. Electronic address:
Lung cancer is the leading cause of cancer-related mortality worldwide, highlighting the urgent need for more accurate and minimally invasive diagnostic tools to improve early detection and patient outcomes. While low-dose computed tomography (LDCT) is effective for screening in high-risk individuals, its high false-positive rate necessitates more precise diagnostic strategies. Liquid biopsy, particularly ctDNA methylation analysis, represents a promising alternative for non-invasive classification of indeterminate pulmonary nodules (IPNs).
View Article and Find Full Text PDFEnviron Pollut
January 2025
School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China.
Air pollution carries different disease burdens across all age groups, with the elderly and children being the most affected. Therefore, it is of practical significance to study air pollution exposure characteristics of different age groups in the context of accelerating aging in China. In this study, we used the number of people and air pollutant concentration data at the township-level scale (the smallest administrative unit in China) to calculate population-weighted PM concentration exposure (PM PWE) values of different age groups in the Beijing-Tianjin-Hebei (BTH) region, quantified the pollution exposure differences among different groups, and analyzed the spatiotemporal changes in such differences and their driving factors.
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