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1 od vaccination, driven by vaccine hesitancy (nonmedical and personal belief exemptions), will have su
2 MS), we estimated the direct medical, direct nonmedical, and indirect (productivity losses) costs bor
3                         Mean annual medical, nonmedical, and indirect economic costs and lifetime cos
4 ily adaptable to both human clinical use and nonmedical applications for a variety of solids in mater
5 mplants and diagnostics, as well as numerous nonmedical applications in which the minimization of sur
6 he ethical and social issues associated with nonmedical applications of genetic variation research.
7  and is moreover used in various medical and nonmedical applications.
8                               Within several nonmedical areas (eg, aviation, nuclear power), concepts
9 to medical research and information, various nonmedical barriers and lack of reports describing appro
10 en, provided the majority of assistance with nonmedical care.
11  out psychiatric illness and to identify the nonmedical causes for pain and disability.
12 re male sex, older age, receipt of care in a nonmedical center, higher Charlson Comorbidity Index sco
13 been a strong emphasis from both medical and nonmedical communities to improve overall cardiovascular
14 ective includes direct medical costs; direct nonmedical costs (caregiver, transportation, residence);
15 g facility, nursing home and others), direct nonmedical costs saved (decreased costs for caregivers,
16        The CE ratios decreased 50% if direct nonmedical costs were included and increased 50% if DTIC
17 rhea, including direct medical costs, direct nonmedical costs, and productivity losses.
18  a range of TEM's efficacy and costs, direct nonmedical costs, and the DTIC schedule.
19 rvention costs, direct medical costs, direct nonmedical costs, productivity losses, and health-relate
20 ikely to result in higher direct medical and nonmedical costs.
21 ts to infer health conditions and risks from nonmedical data provides representative scenarios for re
22 their prognosis informs numerous medical and nonmedical decisions, but patients with cancer and their
23                          Data on medical and nonmedical direct costs and indirect costs were establis
24  medical direct costs, 685,000 US dollars in nonmedical direct costs, and 1.5 million US dollars in i
25 es that easily granted exemptions had higher nonmedical exemption rates in 2002 through 2003 compared
26 mitted personal belief exemptions had higher nonmedical exemption rates than states that offered only
27 accine eligible and 405 (70.6%) of these had nonmedical exemptions (eg, exemptions for religious or p
28 r consideration before policies to eliminate nonmedical exemptions are implemented widely and outline
29 lyzed 1991 through 2004 state-level rates of nonmedical exemptions at school entry and 1986 through 2
30                            The clustering of nonmedical exemptions can affect community risk of vacci
31  The authors evaluated spatial clustering of nonmedical exemptions in Michigan and geographic overlap
32  underlying the policy decision to eliminate nonmedical exemptions is clearly articulated.
33                     Forty-eight states offer nonmedical exemptions to school immunization requirement
34                            Most states offer nonmedical exemptions to school requirements (religious
35  vaccine hesitancy as well as the removal of nonmedical exemptions were estimated.
36  basis of religious or personal beliefs (ie, nonmedical exemptions) may be a useful strategy to incre
37                                              Nonmedical factors are important determinants of whether
38                          Therefore, studying nonmedical factors is critical to understanding disparit
39              To control for the influence of nonmedical factors on survival, we assumed in our base-c
40                             The influence of nonmedical factors on the disposition of TBI patients in
41 ve services, but disparities on the basis of nonmedical factors still exist.
42                                We found that nonmedical factors strongly influenced prioritization ac
43 uable as a first step in identifying the key nonmedical factors that play a role in this disparity.
44  concerns practice variability attributed to nonmedical factors, and growing attention to outcomes re
45 ployment, which is primarily associated with nonmedical factors.
46 apy receipt can be influenced by medical and nonmedical factors.
47 rtment type, minority status, medical versus nonmedical final degree, and school.
48 multicomponent stepped-care program led by a nonmedical health care worker.
49 nd carriage of S. aureus between medical and nonmedical hospital personnel were examined.
50 chiatrically ill persons may be addressed by nonmedical interventions of reassurance and support.
51  measurements that consider literacy and use nonmedical language.
52 ferent professional scenarios and included 2 nonmedical observers.
53  was also associated with increased incident nonmedical opioid use (adjusted odds ratio=2.99, 95% CI=
54  use was also associated with an increase in nonmedical opioid use (adjusted odds ratio=3.13, 95% CI=
55                            Among adults with nonmedical opioid use at wave 1, cannabis use was also a
56 s with moderate or more severe pain and with nonmedical opioid use at wave 1.
57 blems, and, in opioid use disorder analyses, nonmedical opioid use.
58 r adjustment for background characteristics (nonmedical opioid use: adjusted odds ratio=2.62, 95% CI=
59                             Several areas of nonmedical options for the management of osteoporosis in
60   Of these 273 deaths, 187 (68%) were due to nonmedical or traumatic causes, 80 (29%) to medical caus
61 national level, including legislation around nonmedical (personal-belief) exemptions for childhood va
62 with more antibiotic-resistant isolates than nonmedical personnel (mean, 2.8 versus 2.1 isolates [P <
63  rates of hand carriage of S. aureus (18% of nonmedical personnel and 10% of medical personnel).
64 on the outcomes when the devices are used by nonmedical personnel for out-of-hospital cardiac arrest.
65                      Rapid defibrillation by nonmedical personnel using an automated external defibri
66 entions to prevent or reduce illicit drug or nonmedical pharmaceutical use in children and adolescent
67 ee trials also reported positive outcomes in nonmedical prescription drug use occasions.
68 ave 1 was associated with increased incident nonmedical prescription opioid use (odds ratio=5.78, 95%
69 ciated with a change in the risk of incident nonmedical prescription opioid use and opioid use disord
70  rather than decrease the risk of developing nonmedical prescription opioid use and opioid use disord
71 tween cannabis use at wave 1 (2001-2002) and nonmedical prescription opioid use and prescription opio
72                                              Nonmedical prescription opioid use and use disorders.
73 sified with certainty as diverting drugs for nonmedical purposes.
74 in Denmark who had undergone an abortion for nonmedical reasons between 1999 and 2004 and obtained in
75  opt out of the donor evaluation process for nonmedical reasons is important for assessing donor volu
76 dropped out of the acute phase treatment for nonmedical reasons.
77 ess racial disparities in KT incorporate key nonmedical risk factors in patients.
78 s risk in perspective with other medical and nonmedical risks.
79 re identified in 279 decedents (94.6%), with nonmedical routes of exposure and illicit contributory d
80 spital-onset sepsis and hospitalization on a nonmedical service were significant predictors of failur
81                                Admissions to nonmedical services and admissions for overnight observa
82 ospital discharge, with similar survival for nonmedical settings (45% [14/31]) and out-of-hospital me
83 e methods for measuring serum cholesterol in nonmedical settings may eventually contribute to the saf
84 , also known as "ecstasy," is widely used in nonmedical settings.
85 ires medical knowledge, clinical skills, and nonmedical skills, or crisis resource management (CRM) s
86 n, the drug is most frequently obtained from nonmedical sources as part of a broader and longer-term
87 ormation from the internet, books, and other nonmedical sources.
88                                              Nonmedical specific services for immigrants can be effec
89 e examples, samples were collected mainly by nonmedical staff and analyses were conducted in the surv
90 tic teams, in particular because the role of nonmedical staff as assistants and anaesthesia providers
91  being extended both by the increased use of nonmedical staff to administer anaesthesia and by the us
92 elated to patients, communication, academic, nonmedical tasks, and transition.
93                                              Nonmedical therapies are playing an increasing role in t
94 no evidence supporting the efficacy of other nonmedical treatments such as laser photocoagulation.
95                    Hospital-onset sepsis and nonmedical units may be high-yield targets for quality i
96 ns are associated with higher and increasing nonmedical US exemption rates.
97                    Assessing the medical and nonmedical use (NMU) of stimulants and diversion is a ch
98 n was associated with lifetime and past-year nonmedical use (odds ratios, 1.6 and 1.9, respectively)
99  however, unused opioids may be diverted for nonmedical use and contribute to opioid-related injuries
100 n West Virginia in 2006 were associated with nonmedical use and diversion of pharmaceuticals, primari
101                                Prevalence of nonmedical use and use disorders and related risk factor
102                                     Reported nonmedical use did not change significantly among colleg
103 can obtain multiple opioid prescriptions for nonmedical use from different unknowing physicians.
104                 The authors compared risk of nonmedical use in individuals in a national sample with
105                                          The nonmedical use of 'designer' cathinone analogs, such as
106 ven the current crisis, it is vital that the nonmedical use of antibiotics is critically examined and
107 trol center records demonstrate an increased nonmedical use of prescription and over-the-counter coug
108                                  The risk of nonmedical use of prescription anxiety medication and as
109 vorced, or widowed, while being employed and nonmedical use of prescription drugs were associated wit
110                                          The nonmedical use of prescription medications may result in
111  proportion of those reporting initiation of nonmedical use of prescription opioids before initiating
112  aged 18 through 64 years, the prevalence of nonmedical use of prescription opioids decreased from 5.
113  aged 18 through 64 years, the percentage of nonmedical use of prescription opioids decreased.
114                   The mean number of days of nonmedical use of prescription opioids increased from 2.
115                                          The nonmedical use of prescription opioids preceding heroin
116                                Prevalence of nonmedical use of prescription opioids.
117 s in morbidity and mortality associated with nonmedical use of prescription opioids.
118                                          The nonmedical use of synthetic cathinones is increasing on
119 n for anxiety medications is associated with nonmedical use of these medications, although the direct
120 iduals with anxiety disorders are at risk of nonmedical use of these medications, but information abo
121 portant reservoir of opioids contributing to nonmedical use of these products, which could cause inju
122 dents who received a prescription (N=4,294), nonmedical use was associated with male sex, younger age
123 rescription, characteristics associated with nonmedical use were analyzed.
124 d identified characteristics associated with nonmedical use.
125 ving prescription opioid use disorders among nonmedical users increased to 15.7% (95% CI, 13.87%-17.6
126 nt with the view that geographic clusters of nonmedical vaccine exemptions and waning immunity may ha
127  this study sought to understand the role of nonmedical vaccine exemptions and waning immunity may ha
128  Eight statistically significant clusters of nonmedical vaccine exemptions in kindergarteners and 11
129 statistics, SaTScan, version 9.4, to analyze nonmedical vaccine exemptions of children entering kinde
130       The proportion of kindergarteners with nonmedical vaccine exemptions was 2.8 times larger in th
131  the counties in the study had high rates of nonmedical vaccine exemptions.

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