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1 m a societal perspective (healthcare and non-healthcare costs).
2 ed infections and significant contributor to healthcare cost.
3 r benefits for infant morbidity patterns and healthcare costs.
4 ficant postoperative morbidity and increased healthcare costs.
5 ntly associated with increased morbidity and healthcare costs.
6 d to longer hospitalization times and higher healthcare costs.
7 RSA), limits treatment options and increases healthcare costs.
8 nue to increase as well as the corresponding healthcare costs.
9 gest a rising disease burden, morbidity, and healthcare costs.
10 Cost-consequence analysis of fall-related healthcare costs.
11 ncluded type/duration of hospitalization and healthcare costs.
12 cision making and may contribute to lowering healthcare costs.
13 e care in the ICU could significantly reduce healthcare costs.
14 .80), and there was no difference in overall healthcare costs.
15 patient-centered care while limiting rising healthcare costs.
16 can both improve health outcomes and reduce healthcare costs.
17 unt for a significant percentage of hospital healthcare costs.
18 hildren's growth and unnecessarily impact on healthcare costs.
19 n negatively affect health and may impact on healthcare costs.
20 poor outcomes for individuals and increased healthcare costs.
21 ity, mortality, length of hospital stay, and healthcare costs.
22 ilure, with adverse effects on prognosis and healthcare costs.
23 the gifts of whole-blood donors or minimize healthcare costs.
24 n on society in terms of both lives lost and healthcare costs.
25 home or as an outpatient, ultimately saving healthcare costs.
26 een worldwide emphasis on the containment of healthcare costs.
27 iated with repeat catheterization and higher healthcare costs.
28 ading to longer hospital stays and increased healthcare costs.
29 quality vs. the societal mandate to control healthcare costs.
30 in terms of morbidity, quality of life, and healthcare costs.
31 necessary hospital admissions and associated healthcare costs.
32 idity, higher mortality rates, and increased healthcare costs.
33 e United States accounts for about 1% of all healthcare costs.
34 discount rate, visual acuity before CXL, and healthcare costs.
35 ucing the duration of general anesthesia and healthcare costs.
36 ignificantly contribute to asthma-associated healthcare costs.
37 ted with poor patient outcomes and increased healthcare costs.
38 sociated with high morbidity, mortality, and healthcare costs.
39 ciated with fewer hospitalizations and lower healthcare costs.
40 rtality from diabetes and CVD while reducing healthcare costs.
41 e a major cause of morbidity, mortality, and healthcare costs.
42 esource utilization and reducing unnecessary healthcare costs.
43 n years) and per-person lifetime HIV-related healthcare costs.
44 sociated with poor patient outcomes and high healthcare costs.
45 0.5 million and save $8.0 million in averted healthcare costs.
46 usal connection between smoking behavior and healthcare costs.
47 and provides a basis for modeling impact on healthcare costs.
48 ialysis unit may improve outcomes and reduce healthcare costs.
49 atients' quality of life, patient safety and healthcare costs.
50 reduce overuse of colonoscopy and associated healthcare costs.
51 cations, increasing demand for treatment and healthcare costs.
52 ed quality of life and mortality, and higher healthcare costs.
53 tay and therefore favors patient outcome and healthcare costs.
54 9144 dollars; P=0.04; mean per-subject total healthcare costs, 15,384 dollars versus 19,728 dollars;
59 nplanned hospital visits using data from the Healthcare Cost and Utilization Project (325,811 colonos
60 onal cost estimates were calculated from the Healthcare Cost and Utilization Project (HCUP) Nationwid
61 for California in 2011 available through the Healthcare Cost and Utilization Project (HCUP) were link
62 ent Databases (SID) developed as part of the Healthcare Cost and Utilization Project (HCUP), covering
63 S hospital discharge database available, the Healthcare Cost and Utilization Project (HCUP), to study
64 from the US State Inpatient Databases of the Healthcare Cost and Utilization Project 2003-2009, we qu
65 Arizona, California, and Washington from the Healthcare Cost and Utilization Project and influenza su
66 t surgical procedures were grouped using the Healthcare Cost and Utilization Project Clinical Classif
68 d unplanned hospital visits calculated using Healthcare Cost and Utilization Project data showed sign
74 acute care hospital discharge data from the Healthcare Cost and Utilization Project for patients who
75 d from the 2003 Nationwide Inpatient Sample, Healthcare Cost and Utilization Project from the Agency
76 Nationwide Inpatient Sample provided by the Healthcare Cost and Utilization Project from the Agency
77 s-sectional analysis was performed using the Healthcare Cost and Utilization Project National Inpatie
78 nts undergoing MIPD were identified from the Healthcare Cost and Utilization Project National Inpatie
83 ed the 2014 State Inpatient Databases of the Healthcare Cost and Utilization Project of 14 states to
84 the State Inpatient Database, a part of the Healthcare Cost and Utilization Project of the Agency fo
85 from the Nationwide Inpatient Sample via the Healthcare Cost and Utilization Project of the Agency fo
86 surgical visit for infection) using the 2010 Healthcare Cost and Utilization Project State Ambulatory
87 trative data from the California and Florida Healthcare Cost and Utilization Project State Inpatient
90 t/urgent surgeries were identified using the Healthcare Cost and Utilization Project State Inpatient
91 the 2002 Nationwide Inpatient Sample of the Healthcare Cost and Utilization Project to estimate the
92 used the Nationwide Inpatient Sample of the Healthcare Cost and Utilization Project to estimate the
95 tudy of inpatient delivery admissions in the Healthcare Cost and Utilization Project's California Sta
96 t study analyzed all 17672 patients from the Healthcare Cost and Utilization Project's National Inpat
98 between 2001 and 2008 at US hospitals in the Healthcare Cost and Utilization Project's Nationwide Inp
104 s study, we analyzed inpatient data from the Healthcare Cost and Utilization Project, outpatient data
105 the National Inpatient Sample (NIS) from the Healthcare Cost and Utilization Project, we examined tre
106 nd 2010 Nationwide Inpatient Sample from the Healthcare Cost and Utilization Project--a 20% sample of
107 l pacemaker implantation in the 2004 to 2008 Healthcare Cost and Utilization Project-Nationwide Inpat
114 aternal fever is associated with both excess healthcare costs and an increased risk of adverse matern
116 response to national interest in controlling healthcare costs and eliminating unnecessarily expensive
118 ng may more precisely tailor therapy, reduce healthcare costs and improve patient outcome over the ne
119 d (CON) regulation was introduced to control healthcare costs and improve quality of care in part by
123 nsated CHF with nesiritide may lead to lower healthcare costs and reduced mortality compared to treat
125 spective analysis of administrative database-Healthcare Costs and Utilization Project's Nationwide In
126 yzed direct costs from a funder perspective (healthcare costs) and from a societal perspective (healt
128 life, creates billions of dollars of annual healthcare costs, and accounts for approximately 20% of
129 a chronic condition with high morbidity and healthcare costs, and cockroach allergens are an establi
130 onary complications on clinical outcomes and healthcare costs, and establish an algorithm that will h
131 ient dignity, increases nursing workload and healthcare costs, and exacerbates morbidity through derm
133 (CDI) is an important cause of morbidity and healthcare costs, and is characterized by high rates of
135 omes, improve convenience, potentially lower healthcare costs, and possibly lead to much greater phys
136 utcomes, reducing adverse events, decreasing healthcare costs, and preventing further emergence of an
137 vital statistics, data from health surveys, healthcare costs, and SSB price elasticity estimates as
138 ited States societal perspective, limited to healthcare costs, and using a 3% annual discount rate.
139 ons, an increased length of stay, increasing healthcare costs, and withdrawal of drugs from market.
142 significantly reduce both mortality and the healthcare costs associated with bacterial infections, i
144 he morbidity and mortality and the resultant healthcare costs associated with chronic heart failure (
145 n of commitment may be a contributor to high healthcare costs associated with critically ill patients
147 ction rules can help to substantially reduce healthcare costs associated with preoperative cardiac ri
148 dity following acute hospital discharge, but healthcare costs associated with this ongoing morbidity
150 responsible for a significant proportion of healthcare costs attributable to asthma and have a large
151 HBI was associated with significantly lower healthcare costs, attributable to fewer days of hospital
153 ys (RR=1.57, 95% CI: 1.10, 2.03), and higher healthcare costs (beta=US$877, 95% CI: US$42, US$1713).
154 itis C virus (HCV) infection increases total healthcare costs but the effect of the severity of liver
155 D is more time consuming resulting in higher healthcare costs, but is (cost-) effective on the long-t
156 (COPD) increase the risk of death and drive healthcare costs, but whether they accelerate loss of lu
157 s and 10-year risk >10%) would reduce annual healthcare costs by $430 million compared with Adult Tre
158 rs in approximately 14% and increases 1-year healthcare costs by >19,000 dollars per occurrence.
159 ated congestive heart failure (CHF), affects healthcare costs by hospital length of stay (LOS), readm
160 es but were sensitive to the level of annual healthcare costs caused by noncardiac diseases and to th
163 use and costs of cases; ii) to assess direct healthcare costs due to CD by comparing average resource
166 c dialysis consumes a substantial portion of healthcare costs for a relatively small proportion of th
168 ermine the increased severity, mortality and healthcare costs for ceftiofur-resistant Salmonella Heid
169 ular disease, but also help reduce long-term healthcare costs for hospital stays, clinic visits and m
170 is translated to lower cumulative and annual healthcare costs for those in favorable cardiovascular h
177 h these utilization data to calculate direct healthcare costs in 3 categories: consultation, medicati
178 ms of amputation rates, quality of life, and healthcare costs in patients after femoropopliteal and f
181 s not easily reversible, as well as the high healthcare costs inherent in device use, a clear underst
183 standing the magnitude of postacute hospital healthcare costs is of increasing relevance to clinician
186 mplications for patients including increased healthcare costs, longer hospital stays, unnecessary con
187 thousands of people, leading to significant healthcare costs, loss of revenue for food companies, an
188 splant with subsequent clinical outcomes and healthcare costs may facilitate cost-benefit evaluations
190 self-testing would lead to modest savings in healthcare costs of $75 million, while averting around 7
191 he demographics, healthcare utilization, and healthcare costs of CHC patients in a large U.S. private
195 e compensation assumptions), limited data on healthcare costs other than those related to diabetes, a
196 ized GCPS status was predictive of increased healthcare cost over the last 6 mo, accounting for an av
200 ase Case: incremental short-term (days 1-28) healthcare costs per day-28 survivor; Panel on Cost-Effe
206 two large national healthcare databases: the Healthcare Cost Report Information System maintained by
207 a 20% tax on SSBs, the most HALYs gained and healthcare costs saved would accrue to the most disadvan
208 Health-adjusted life years (HALYs) gained, healthcare costs saved, and out-of-pocket costs were est
209 substantial reduction in direct and indirect healthcare costs, saving US dollars 6462 per patient (p
210 ins of 175,300 (95% CI: 68,700; 277,800) and healthcare cost savings of AU$1,733 million (m) (95% CI:
213 million people worldwide, bringing the total healthcare cost to over 600 billion dollars per year.
218 ment scorecards is associated with favorable healthcare cost trends, these data are not currently rob
219 overage on adherence, clinical outcomes, and healthcare costs using adjusted models among the 1052 pa
220 ls in the USA between 1997 and 2010 with the HealthCare Cost Utilization Project (HCUP) network datab
221 nwide Inpatient Sample (NIS) database of the Healthcare Cost Utilization Project (HCUP) to identify h
224 cluded, both heart failure-related and total healthcare costs were lower in the ISDN/HYD group (mean
225 e compliance, antimicrobial expenditure, and healthcare cost when an infectious disease fellow intera
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