Background: Hospital readmissions among patients with diabetes are substantial and costly. Although prior studies have shown that receipt of outpatient quality of care significantly reduces the risk of hospitalization among patients with diabetes, little is known about its impact on hospital readmission. The objective of this study is to assess the impact of outpatient quality of care on 30-day readmission among patients with diabetes.
Methods: We used deidentified administrative claims data from the IMS LifeLink and included commercially insured diabetes patients ≥ 19 years old discharged from hospitals in the United States in 2009 and 2010 (n = 30,139). The outcome was readmission within 2-30 days of discharge. The main independent variables were receipt of outpatient quality-of-care measures (i.e., two hemoglobin A1c tests, low-density lipoprotein (LDL) test, 90-day supply of statin, and 90-day supply of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers). Multivariate logistic regression was used to examine the impact of outpatient quality of care on hospital readmission while controlling for demographics, clinical characteristics, health care utilization, and insurance type in the year prior to admission.
Results: Overall 30-day readmission rates among patients with diabetes were 18.9%. Patients who received at least one LDL test [odds ratio (OR) = 0.918, 95% confidence interval (CI; 0.852 0.989), p < .025] and ≥90-day supply of statins (OR = 0.91, 95% CI [0.85 0.97], p < .01) were less likely to be readmitted to the hospital.
Conclusions: Receipt of LDL testing and adherence to statin medications were effective in decreasing the likelihood of 30-day hospital readmission and may be considered as elements of a quality focused incentive-based health care delivery package for diabetes patients.
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http://dx.doi.org/10.1177/193229681200600311 | DOI Listing |
J Eat Disord
January 2025
Dipartamento di Psicologia Generale, Università degli Studi di Padova, Padua, Italy.
Background: Poor quality of life in adults with anorexia nervosa (AN) and persistent high rates of readmission highlight the necessity of developing interventions to optimize treatment outcomes. ECHOMANTRA is a novel online intervention based on interventions for carers (Experienced Carers Helping Others, ECHO) and patients (Maudsley Model of Anorexia Nervosa Treatment for Adults, MANTRA) with anorexia nervosa. The objective of this paper is to describe the study protocol of a randomized control trial (RCT) aimed at evaluating the efficacy of an adaptation of the ECHOMANTRA for adults AN inpatients and outpatients, and their carers, to be implemented as an add-on to treatment-as-usual (TAU).
View Article and Find Full Text PDFBackground: In 2018, a nationwide survey carried out in 387 acute care hospitals from 16 out of 21 Italian regions, allowed defining an extended checklist for the participatory evaluation of person-centredness in hospital care. We aimed to validate a reduced set of core items for continuous use across the country.
Methods: Factor analysis was used to validate the construct of the checklist.
Vet Res
January 2025
Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA.
Cranioventral pulmonary consolidation (CVPC) is a common lesion observed in the lungs of slaughtered pigs, often associated with Mycoplasma (M.) hyopneumoniae infection. There is a need to implement simple, fast, and valid CVPC scoring methods.
View Article and Find Full Text PDFPerioper Med (Lond)
January 2025
Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada.
Background: The integration of procedure-specific risks into preoperative patient assessment and optimization are crucial aspects of perioperative care. However, data on internists' knowledge of surgical and anesthetic principles and practices are limited. We thus sought to identify internists' knowledge gaps in terms of surgical- and anesthetic-specific risk factors and characteristics.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Nursing, The Affiliated Hospital of Medical College Qingdao University, Qingdao, Shandong, 266003, China.
Background: This systematic review aims to explore the early predictive value of machine learning (ML) models for the progression of gestational diabetes mellitus (GDM) to type 2 diabetes mellitus (T2DM).
Methods: A comprehensive and systematic search was conducted in Pubmed, Cochrane, Embase, and Web of Science up to July 02, 2024. The quality of the studies included was assessed.
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