1.
Impact of Financial Incentives on Health Outcomes and Costs of Care among Medicaid Beneficiaries with Diabetes in Hawai'i.
Fernandes, R, Chinn, CC, Li, D, Halliday, T, Frankland, T, Ozaki, RR
Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health. 2019;(1):19-25
Abstract
The Hawai'i Patient Reward And Incentives to Support Empowerment (HI-PRAISE) project, part of the Medicaid Incentives for Prevention of Chronic Diseases program of the Affordable Care Act, examined the impact of financial incentives on Medicaid beneficiaries with diabetes. It included an observational pre-post study which was conducted at nine Federally Qualified Health Centers (FQHCs) between 2013 to 2015. The observational study enrolled 2,003 participants. Participants could earn up to $320/year in financial incentives. Primary outcomes were change in hemoglobin A1c, blood pressure, and cholesterol; secondary outcomes included compliance with American Diabetes Association (ADA) standards of diabetes care and cost effectiveness. Generalized estimating equation models were used to assess differences in clinical outcomes and general linear models were utilized to estimate the medical costs per patient/day. Changes in clinical outcomes in the observational study were statistically significant: mean hemoglobin A1c decreased from 8.56% to 8.24% (P < .0001); mean systolic blood pressure decreased from 125.16 to 124.18 mm Hg (P = .0137); mean diastolic blood pressure decreased from 75.54 to 74.78 mm Hg (P = .0005); total cholesterol decreased from 180.77 to 174.21 mg/dl (P < .0001); and low-density lipoprotein decreased from 106.17 to 98.55 mg/dl (P < .0001). Improved ADA compliance was also observed. A key limitation was a reduced sample size due to participant's fluctuating Medicaid eligibility status. HI-PRAISE showed no reduction in total health cost during the project period.
2.
Nutrition Risk Screening in Patients Admitted to an Adult Emergency Department of a Brazilian University Hospital.
Kami, AA, Fernandes, R, de Quadros Camargo, C, Corsi, DM, de Salles, RK, de Moraes Trindade, EB
Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition. 2017;(1):84-91
Abstract
BACKGROUND The prevalence of malnutrition in emergency units is high, and data on the nutrition risk of patients admitted in these units are scarce. The aims of this study are to determine the nutrition risk profile of individuals admitted in an emergency unit and to identify clinical, anthropometric, and laboratory attributes according to nutrition risk classification. MATERIALS AND METHODS A total of 234 individuals in an emergency unit from 1 university hospital in Brazil were enrolled in this cross-sectional study. The nutrition risk profile was determined using the Nutrition Risk Screening 2002. Sociodemographic, clinical, anthropometric, and laboratory data were collected. Comparisons between individuals "at risk" and "not at risk" and logistic regression analyzes were performed. RESULTS The prevalence of nutrition risk at admission was 48.7%. Patients at risk were older ( P = .031), were less educated ( P = .022), had a lower body mass index ( P < .001), had higher concentrations of C-reactive protein (CRP; P = .007), had a higher CRP/serum albumin ratio ( P = .004), had lower concentrations of serum albumin ( P = .002), and had severe weight loss ( P < .001). Altogether, this profile resulted in a longer hospital stay ( P = .004), more complications ( P = .005), and greater use of antibiotics ( P = .024). In regression analyses, low serum albumin (odds ratio [OR], 2.75; 95% confidence interval [CI], 1.23-6.13) and, higher serum CRP (OR, 1.13; 95% CI, 1.00-3.72), use of antibiotics (OR, 13.3; 95% CI, 1.59-111.16) were predictors of long hospital stay. CONCLUSION The prevalence of nutrition risk in emergency patients was high and its profile associated with worse clinical, laboratory, and anthropometric outcomes. The use of other laboratory and clinical variables may also be a good strategy for predicting adverse outcomes in emergency units.