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1 m a societal perspective (healthcare and non-healthcare costs).
2 ing their hospitalization and increasing the healthcare cost.
3 major driver of overall reductions in direct healthcare cost.
4 ed infections and significant contributor to healthcare cost.
5 rove antimicrobial stewardship, and decrease healthcare costs.
6 discount rate, visual acuity before CXL, and healthcare costs.
7 ucing the duration of general anesthesia and healthcare costs.
8 ignificantly contribute to asthma-associated healthcare costs.
9 ted with poor patient outcomes and increased healthcare costs.
10 sociated with high morbidity, mortality, and healthcare costs.
11 rtality from diabetes and CVD while reducing healthcare costs.
12 e a major cause of morbidity, mortality, and healthcare costs.
13 esource utilization and reducing unnecessary healthcare costs.
14 sociated with poor patient outcomes and high healthcare costs.
15 0.5 million and save $8.0 million in averted healthcare costs.
16 usal connection between smoking behavior and healthcare costs.
17  and provides a basis for modeling impact on healthcare costs.
18 ialysis unit may improve outcomes and reduce healthcare costs.
19 atients' quality of life, patient safety and healthcare costs.
20 cal complications have substantial impact on healthcare costs.
21 reduce overuse of colonoscopy and associated healthcare costs.
22 cations, increasing demand for treatment and healthcare costs.
23 ed quality of life and mortality, and higher healthcare costs.
24 tay and therefore favors patient outcome and healthcare costs.
25 raella communa on the number of patients and healthcare costs.
26 r benefits for infant morbidity patterns and healthcare costs.
27 ficant postoperative morbidity and increased healthcare costs.
28 ntly associated with increased morbidity and healthcare costs.
29 d to longer hospitalization times and higher healthcare costs.
30 RSA), limits treatment options and increases healthcare costs.
31 pact on patient health, quality of life, and healthcare costs.
32 nue to increase as well as the corresponding healthcare costs.
33 gest a rising disease burden, morbidity, and healthcare costs.
34 ospitalizations resulted in >$1.3 billion in healthcare costs.
35    Cost-consequence analysis of fall-related healthcare costs.
36 ncluded type/duration of hospitalization and healthcare costs.
37 e significant impact on patient survival and healthcare costs.
38 e care in the ICU could significantly reduce healthcare costs.
39 .80), and there was no difference in overall healthcare costs.
40  patient-centered care while limiting rising healthcare costs.
41  can both improve health outcomes and reduce healthcare costs.
42 unt for a significant percentage of hospital healthcare costs.
43 n negatively affect health and may impact on healthcare costs.
44  poor outcomes for individuals and increased healthcare costs.
45 ity, mortality, length of hospital stay, and healthcare costs.
46 ilure, with adverse effects on prognosis and healthcare costs.
47  the gifts of whole-blood donors or minimize healthcare costs.
48 n on society in terms of both lives lost and healthcare costs.
49  home or as an outpatient, ultimately saving healthcare costs.
50 een worldwide emphasis on the containment of healthcare costs.
51 iated with repeat catheterization and higher healthcare costs.
52 ading to longer hospital stays and increased healthcare costs.
53  quality vs. the societal mandate to control healthcare costs.
54  in terms of morbidity, quality of life, and healthcare costs.
55 necessary hospital admissions and associated healthcare costs.
56 tice system while only moderately increasing healthcare costs.
57 idity, higher mortality rates, and increased healthcare costs.
58 e United States accounts for about 1% of all healthcare costs.
59 se both morbidity and mortality and inflates healthcare costs.
60 sepsis, reduce antibiotic overuse, and lower healthcare costs.
61 experience low survival rates and incur high healthcare costs.
62 c delay, disease progression and significant healthcare costs.
63 ers' industry payments with Medicare data on healthcare costs.
64 lion QALYs, and save $39.7 billion in formal healthcare costs.
65 s limited, despite increasing prevalence and healthcare costs.
66 ted 374,766 providers' industry payments and healthcare costs.
67 pact on life expectancy, quality of life and healthcare costs.
68 scular drug innovation, quality of care, and healthcare costs.
69 ses of preventable morbidity, mortality, and healthcare costs.
70 lem, with enormous individual, societal, and healthcare costs.
71 hat significantly increases patient harm and healthcare costs.
72 ll-being and lower morbidity, mortality, and healthcare costs.
73 ciated with fewer hospitalizations and lower healthcare costs.
74 n years) and per-person lifetime HIV-related healthcare costs.
75 cision making and may contribute to lowering healthcare costs.
76 hildren's growth and unnecessarily impact on healthcare costs.
77 9144 dollars; P=0.04; mean per-subject total healthcare costs, 15,384 dollars versus 19,728 dollars;
78 1) early mobilization is safe and may reduce healthcare costs, 2) safety criteria should be provided,
79 and infant life expectancy (LE) and lifetime healthcare costs (2008 US dollars [USD]).
80 HIV prevalence settings due to reductions in healthcare costs, absenteeism, and staff turnover.
81                 As the national debate about healthcare costs, access, and quality continues, we will
82 nes can prove frustrating and increases both healthcare cost and patient morbidity.
83 nplanned hospital visits using data from the Healthcare Cost and Utilization Project (325,811 colonos
84 onal cost estimates were calculated from the Healthcare Cost and Utilization Project (HCUP) Nationwid
85 for California in 2011 available through the Healthcare Cost and Utilization Project (HCUP) were link
86 ent Databases (SID) developed as part of the Healthcare Cost and Utilization Project (HCUP), covering
87 S hospital discharge database available, the Healthcare Cost and Utilization Project (HCUP), to study
88 from the US State Inpatient Databases of the Healthcare Cost and Utilization Project 2003-2009, we qu
89 Arizona, California, and Washington from the Healthcare Cost and Utilization Project and influenza su
90 t surgical procedures were grouped using the Healthcare Cost and Utilization Project Clinical Classif
91              MRI utilization was measured by Healthcare Cost and Utilization Project criteria.
92 d Agency for Healthcare Research and Quality/Healthcare Cost and Utilization Project data from 43 Sta
93 d unplanned hospital visits calculated using Healthcare Cost and Utilization Project data showed sign
94       Among eligible states participating in Healthcare Cost and Utilization Project Data State Inpat
95                                        Using Healthcare Cost and Utilization Project Data State Inpat
96 round incidence of intussusception by use of Healthcare Cost and Utilization Project data.
97                                          The Healthcare Cost and Utilization Project database, a nati
98                                    Using the Healthcare Cost and Utilization Project database, we per
99 e reimbursement databases, RED Book, and the Healthcare Cost and Utilization Project database.
100    Data were obtained from the 1996 and 1997 Healthcare Cost and Utilization Project database.
101 ent and emergency department visits from the Healthcare Cost and Utilization Project for California,
102  acute care hospital discharge data from the Healthcare Cost and Utilization Project for patients who
103  Nationwide Inpatient Sample provided by the Healthcare Cost and Utilization Project from the Agency
104 d from the 2003 Nationwide Inpatient Sample, Healthcare Cost and Utilization Project from the Agency
105 d with hospital discharge data from the 2014 Healthcare Cost and Utilization Project National Inpatie
106 nts undergoing MIPD were identified from the Healthcare Cost and Utilization Project National Inpatie
107 s-sectional analysis was performed using the Healthcare Cost and Utilization Project National Inpatie
108                              METHODS AND The Healthcare Cost and Utilization Project National Readmis
109                                     The 2016 Healthcare Cost and Utilization Project Nationwide Inpat
110                   In this study based on the Healthcare Cost and Utilization Project Nationwide Inpat
111         Retrospective cohort study using the Healthcare Cost and Utilization Project Nationwide Inpat
112                                 DATA AND The Healthcare Cost and Utilization Project Nationwide Inpat
113 ed the 2014 State Inpatient Databases of the Healthcare Cost and Utilization Project of 14 states to
114  the State Inpatient Database, a part of the Healthcare Cost and Utilization Project of the Agency fo
115 from the Nationwide Inpatient Sample via the Healthcare Cost and Utilization Project of the Agency fo
116 surgical visit for infection) using the 2010 Healthcare Cost and Utilization Project State Ambulatory
117                  Acute care hospitals in the Healthcare Cost and Utilization Project State Inpatient
118 t/urgent surgeries were identified using the Healthcare Cost and Utilization Project State Inpatient
119 trative data from the California and Florida Healthcare Cost and Utilization Project State Inpatient
120 mapped onto 14,568 ICD9 diagnosis codes from Healthcare Cost and Utilization Project State Inpatient
121                                Data from the Healthcare Cost and Utilization Project State Inpatient
122                               We queried the Healthcare Cost and Utilization Project State Inpatient
123  the 2002 Nationwide Inpatient Sample of the Healthcare Cost and Utilization Project to estimate the
124  used the Nationwide Inpatient Sample of the Healthcare Cost and Utilization Project to estimate the
125                                          The Healthcare Cost and Utilization Project was used to iden
126                           Data from the 1993 Healthcare Cost and Utilization Project were analyzed to
127 aims data from the 2014 New York and Florida Healthcare Cost and Utilization Project were used to ide
128 tudy of inpatient delivery admissions in the Healthcare Cost and Utilization Project's California Sta
129 t study analyzed all 17672 patients from the Healthcare Cost and Utilization Project's National Inpat
130           Cross-sectional study based on the Healthcare Cost and Utilization Project's Nationwide Inp
131                        We used data from the Healthcare Cost and Utilization Project's Nationwide Inp
132 between 2001 and 2008 at US hospitals in the Healthcare Cost and Utilization Project's Nationwide Inp
133                                          The Healthcare Cost and Utilization Project's Nationwide Rea
134                  Data were obtained from the Healthcare Cost and Utilization Project's State Inpatien
135 fied from the 2007-2013 New York and Florida Healthcare Cost and Utilization Project's State Inpatien
136 data set (Nationwide Inpatient Sample of the Healthcare Cost and Utilization Project).
137                                 By using the Healthcare Cost and Utilization Project, National Inpati
138 s study, we analyzed inpatient data from the Healthcare Cost and Utilization Project, outpatient data
139 the National Inpatient Sample (NIS) from the Healthcare Cost and Utilization Project, we examined tre
140 nd 2010 Nationwide Inpatient Sample from the Healthcare Cost and Utilization Project--a 20% sample of
141 l pacemaker implantation in the 2004 to 2008 Healthcare Cost and Utilization Project-Nationwide Inpat
142                      Data were used from the Healthcare Cost and Utilization Project-State Inpatient
143 ida and New York in 2013 using data from the Healthcare Cost and Utilization Project.
144 ing the Nationwide Inpatient Sample from the Healthcare Cost and Utilization Project.
145  from the Nationwide Inpatient Sample of the Healthcare Cost and Utilization Project.
146 ent Databases between 2003 and 2007 from the Healthcare Cost and Utilization Project.
147 the Clinical Classifications Software of the Healthcare Cost and Utilization Project.
148                          Using data from the Healthcare Cost and Utilization Projects Nationwide Inpa
149 nterval, 0.6-1.0 billion dollars) in averted healthcare costs and $2.5 billion dollars (95% uncertain
150 aternal fever is associated with both excess healthcare costs and an increased risk of adverse matern
151                           However, household healthcare costs and costs for medicines were significan
152 response to national interest in controlling healthcare costs and eliminating unnecessarily expensive
153                         With ever-escalating healthcare costs and expectations for faster recovery, a
154 iveness analyses are planned to evaluate the healthcare costs and health outcomes of the approach.
155 ng may more precisely tailor therapy, reduce healthcare costs and improve patient outcome over the ne
156 d (CON) regulation was introduced to control healthcare costs and improve quality of care in part by
157                               We dissect the healthcare costs and lost productivity caused by food in
158 om a societal perspective including informal healthcare costs and lost productivity, respective ICERs
159             AKI is associated with increased healthcare costs and mortality.
160         We aimed to estimate the prevalence, healthcare costs and number of deaths among people with
161 veloped using real-world evidence to compare healthcare costs and quality-adjusted life years (QALYs)
162 ntial effect of improved bundle adherence on healthcare costs and quality-adjusted life-years in the
163 is the additional need to reduce unnecessary healthcare costs and radiation exposure.
164 nsated CHF with nesiritide may lead to lower healthcare costs and reduced mortality compared to treat
165 ult in significant morbidity, mortality, and healthcare costs and should be a focus of future surveil
166                    This has implications for healthcare costs and the future of the practice of cardi
167                                              Healthcare Costs and Utilization Project and a comparati
168 e Agency for Healthcare Research and Quality Healthcare Costs and Utilization Project State Inpatient
169 spective analysis of administrative database-Healthcare Costs and Utilization Project's Nationwide In
170 yzed direct costs from a funder perspective (healthcare costs) and from a societal perspective (healt
171  associated with disease progression, higher healthcare cost, and increased mortality.
172  life, creates billions of dollars of annual healthcare costs, and accounts for approximately 20% of
173  a chronic condition with high morbidity and healthcare costs, and cockroach allergens are an establi
174 onary complications on clinical outcomes and healthcare costs, and establish an algorithm that will h
175 ient dignity, increases nursing workload and healthcare costs, and exacerbates morbidity through derm
176 bidity, length of hospitalization, increased healthcare costs, and increased mortality.
177  seem to be a driving force behind rising US healthcare costs, and inpatient-based fees are significa
178 (CDI) is an important cause of morbidity and healthcare costs, and is characterized by high rates of
179 betes incidence, CVD events, direct diabetes healthcare costs, and mortality over 10 y.
180 omes, improve convenience, potentially lower healthcare costs, and possibly lead to much greater phys
181 utcomes, reducing adverse events, decreasing healthcare costs, and preventing further emergence of an
182  simulating individuals' long-term outcomes, healthcare costs, and quality of life based on their cha
183  vital statistics, data from health surveys, healthcare costs, and SSB price elasticity estimates as
184 ited States societal perspective, limited to healthcare costs, and using a 3% annual discount rate.
185 ons, an increased length of stay, increasing healthcare costs, and withdrawal of drugs from market.
186                                       Rising healthcare costs are becoming increasingly burdensome fo
187                             More than 25% of healthcare costs are spent in the last year of life, and
188 2-THRIVE), but its net effects on health and healthcare costs are unknown.
189  healthcare resource utilization (HCRU), and healthcare costs are unknown.
190  significantly reduce both mortality and the healthcare costs associated with bacterial infections, i
191                                   The direct healthcare costs associated with CHC are high, increase
192 he morbidity and mortality and the resultant healthcare costs associated with chronic heart failure (
193 n of commitment may be a contributor to high healthcare costs associated with critically ill patients
194 f hospitalizations and deaths and increasing healthcare costs associated with ExPEC infections.
195                                    Given the healthcare costs associated with obesity (especially in
196 ction rules can help to substantially reduce healthcare costs associated with preoperative cardiac ri
197 dity following acute hospital discharge, but healthcare costs associated with this ongoing morbidity
198  cumulative burden of morbidity, and average healthcare costs at older ages.
199  responsible for a significant proportion of healthcare costs attributable to asthma and have a large
200  HBI was associated with significantly lower healthcare costs, attributable to fewer days of hospital
201                                Consequently, healthcare costs ($AU3.93 vs. $AU5.53 million) were sign
202 ys (RR=1.57, 95% CI: 1.10, 2.03), and higher healthcare costs (beta=US$877, 95% CI: US$42, US$1713).
203    Despite critical care being a significant healthcare cost burden there remains a paucity of studie
204 itis C virus (HCV) infection increases total healthcare costs but the effect of the severity of liver
205 D is more time consuming resulting in higher healthcare costs, but is (cost-) effective on the long-t
206  (COPD) increase the risk of death and drive healthcare costs, but whether they accelerate loss of lu
207 s and 10-year risk >10%) would reduce annual healthcare costs by $430 million compared with Adult Tre
208 rs in approximately 14% and increases 1-year healthcare costs by >19,000 dollars per occurrence.
209 ated congestive heart failure (CHF), affects healthcare costs by hospital length of stay (LOS), readm
210 es but were sensitive to the level of annual healthcare costs caused by noncardiac diseases and to th
211                          Health benefits and healthcare cost changes were also assessed in subgroups
212  reduce smoking should be part of short term healthcare cost containment.
213                                              Healthcare costs, coronary heart disease events, and qua
214 ic disease are significant, with both direct healthcare costs (doctor, nurse and dietitian consultati
215 , prevalence, attributable length of stay or healthcare cost due to hospital-acquired pressure ulcers
216 use and costs of cases; ii) to assess direct healthcare costs due to CD by comparing average resource
217    Sepsis is a leading contributor to excess healthcare costs due to hospital readmissions.
218 ality adjusted life years (QALYs) and direct healthcare costs expressed in 2012 euro.
219 s uninsured or underinsured, despite overall healthcare costs far above other nations.
220 c dialysis consumes a substantial portion of healthcare costs for a relatively small proportion of th
221                                        Total healthcare costs for adherent patients averaged $62 782
222                                     Lifetime healthcare costs for an HCV-infected person are signific
223 ermine the increased severity, mortality and healthcare costs for ceftiofur-resistant Salmonella Heid
224 ular disease, but also help reduce long-term healthcare costs for hospital stays, clinic visits and m
225 is translated to lower cumulative and annual healthcare costs for those in favorable cardiovascular h
226  mortality, hospital admissions and lifetime healthcare costs for those with PTSD.
227                      This in turn can reduce healthcare costs, foster prodigious education, and stren
228 from the Global Burden of Disease Study; and healthcare costs from NHS England programme budgeting da
229                     The dramatic increase in healthcare cost has become a significant burden to the w
230 associated with chronic hepatitis C (CHC) on healthcare costs has not been well studied.
231  percutaneous coronary intervention (PCI) on healthcare costs has not been well studied.
232                                       Rising healthcare costs have led to increasing focus on the nee
233 llergy testing was associated with decreased healthcare cost in four studies.
234 h these utilization data to calculate direct healthcare costs in 3 categories: consultation, medicati
235 ntact dermatitis, antibiotic resistance, and healthcare costs in conjunction with a low baseline rate
236 ms of amputation rates, quality of life, and healthcare costs in patients after femoropopliteal and f
237                                              Healthcare costs in patients with AR are markedly higher
238 tion is one of the causes of the increase in healthcare costs in the past few decades.
239 s not easily reversible, as well as the high healthcare costs inherent in device use, a clear underst
240 is is a priority given the high societal and healthcare costs involved.
241 standing the magnitude of postacute hospital healthcare costs is of increasing relevance to clinician
242  improves quality of life, but the effect on healthcare costs is unknown.
243                     Given the rapidly rising healthcare costs, it is important to understand the econ
244 mplications for patients including increased healthcare costs, longer hospital stays, unnecessary con
245  thousands of people, leading to significant healthcare costs, loss of revenue for food companies, an
246 splant with subsequent clinical outcomes and healthcare costs may facilitate cost-benefit evaluations
247                 In an era of ever-increasing healthcare costs, new treatments must not only improve o
248 self-testing would lead to modest savings in healthcare costs of $75 million, while averting around 7
249 he demographics, healthcare utilization, and healthcare costs of CHC patients in a large U.S. private
250 n mere temporal association, will reduce the healthcare costs of common diagnostic error.
251                                Annual direct healthcare costs of COPD in England were estimated to in
252 South Africa) and 4.7% (Malawi) to five-year healthcare costs of tested patients, primarily reflectin
253                Few data are available on the healthcare costs of those suffering from persistent orof
254                             When considering healthcare costs only, the program cost $25,500/QALY gai
255 ars, and save $31 billion (15.7-54.5) in net healthcare costs or $61.9 billion (33.1-103.3) societal
256 e compensation assumptions), limited data on healthcare costs other than those related to diabetes, a
257 ized GCPS status was predictive of increased healthcare cost over the last 6 mo, accounting for an av
258  were a significant proportion of cumulative healthcare cost (P < 0.001).
259                           The average annual healthcare cost per faller was estimated at pound202 (in
260       Compared to SMC alone, the incremental healthcare cost per QALY was pound18,374 for CBT, pound2
261 ase Case: incremental short-term (days 1-28) healthcare costs per day-28 survivor; Panel on Cost-Effe
262                               Average annual healthcare costs per patient increased by pound310 (95%
263                                        Total healthcare costs per patient substantially increase afte
264 edicine Reference Case: incremental lifetime healthcare costs per quality-adjusted life-year.
265           We primarily assessed total 3-year healthcare costs per quality-adjusted life-years at 3 ye
266               Mean all-cause and HCV-related healthcare costs per-patient-per-month (PPPM) during fol
267  significant implications for clinical care, healthcare costs, policy, and research.
268 ratios; DOC costs (2016 US dollars); and BI (healthcare cost/prison entrant) to generalize to other s
269 s (Total UC costs were defined as the sum of healthcare costs, productivity costs and out-of-pocket c
270 nd health-related costs (formal and informal healthcare costs, productivity costs) from established s
271                                              Healthcare cost reduction policies should consider the l
272 of interest, their relationship with overall healthcare costs remains largely unknown.
273 two large national healthcare databases: the Healthcare Cost Report Information System maintained by
274 s (HALYs) gained, and changes in IHD-related healthcare costs saved were estimated over 10 years and
275 a 20% tax on SSBs, the most HALYs gained and healthcare costs saved would accrue to the most disadvan
276   Health-adjusted life years (HALYs) gained, healthcare costs saved, and out-of-pocket costs were est
277 n QALYs gained, and $100.2 billion in formal healthcare costs saved, respectively.
278 zophrenia to clozapine indicated a potential healthcare cost saving of ~pound 3400 (equivalent to $42
279 substantial reduction in direct and indirect healthcare costs, saving US dollars 6462 per patient (p
280 ins of 175,300 (95% CI: 68,700; 277,800) and healthcare cost savings of AU$1,733 million (m) (95% CI:
281 ks to patients, and contributes to increased healthcare costs, stronger consideration of the role of
282                  CD cases experienced higher healthcare costs than controls both before diagnosis (me
283         SMC patients had significantly lower healthcare costs than those receiving APT, CBT and GET.
284 million people worldwide, bringing the total healthcare cost to over 600 billion dollars per year.
285 ity, obesity-related diseases and associated healthcare costs to 2050.
286       Tying coverage for funeral expenses or healthcare costs to a family allowing organs to be procu
287 2, P<0.0001) than those who did not perceive healthcare costs to be burdensome.
288  individual's quality of life and incur high healthcare costs to society.
289 ment scorecards is associated with favorable healthcare cost trends, these data are not currently rob
290 overage on adherence, clinical outcomes, and healthcare costs using adjusted models among the 1052 pa
291 ls in the USA between 1997 and 2010 with the HealthCare Cost Utilization Project (HCUP) network datab
292 nwide Inpatient Sample (NIS) database of the Healthcare Cost Utilization Project (HCUP) to identify h
293 ermore, the association between payments and healthcare costs varies markedly across states and corre
294                          Mean all-cause PPPM healthcare costs were 32% and 247% higher for patients w
295                             Carer strain and healthcare costs were also recorded.
296 cluded, both heart failure-related and total healthcare costs were lower in the ISDN/HYD group (mean
297 e compliance, antimicrobial expenditure, and healthcare cost when an infectious disease fellow intera
298                                              Healthcare costs will be calculated by multiplying used
299  during EMR may lead to significantly higher healthcare cost without a clear clinical benefit.
300 entury, and is a major contributor to rising healthcare costs worldwide.

 
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