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1 to 1.55) were independently associated with poor adherence.
2 ppointing results were attributed largely to poor adherence.
3 Twenty-seven percent of the sample reported poor adherence.
4 s (CIs) identifying barriers associated with poor adherence.
5 s for whom poor asthma control is related to poor adherence.
6 ation schedule were barriers associated with poor adherence.
7 There were five cases of poor adherence.
8 re shown to be an independent risk factor of poor adherence.
9 ucoma medication and factors associated with poor adherence.
10 efined, yet multiple studies have identified poor adherence.
11 oporosis treatments is determining causes of poor adherence.
12 ing medications, even at very high levels of poor adherence.
13 eing gathered regarding processes related to poor adherence.
14 rosis and identifies factors associated with poor adherence.
15 defined as good adherence and 80% or less as poor adherence.
16 65.0%, and 7.7%, respectively) for detecting poor adherence.
17 for inadequate clinical response because of poor adherence.
18 tion for a subset; predictors of good versus poor adherence.
19 models, respectively); (2) persistently very poor adherence (14.9% and 23.4% of persons in the 1- and
21 iodemographic characteristics helped explain poor adherence (African Americans: low maternal educatio
28 mes by not including those at higher risk of poor adherence and reinfection--individuals for whom rea
29 ch that first identifies patients at risk of poor adherence and then seeks to establish the support t
30 gnificant difference between good adherence, poor adherence, and dropout regarding level of understan
31 uate prescription of antiretroviral therapy, poor adherence, and repeated interfaces with congregate
34 land but is associated with side-effects and poor adherence by patients, and TMP-SMX alone is recomme
37 DH not controlled by gluten-free diet (with poor adherence), dapsone, and conventional immune-suppre
38 regression slopes of viral RNA load for the poor-adherence group were significantly higher than thos
42 ght be a key noninvasive resource to address poor adherence in children and adolescents in a clinical
44 s associated with a lower risk of death than poor adherence in patients with CHF, irrespective of ass
48 engthy and onerous, and hence complicated by poor adherence leading to drug resistance and disease re
50 sive treatment regimens that compensated for poor adherence led to better improvements in glycemic co
51 th CML treated with imatinib for some years, poor adherence may be the predominant reason for inabili
52 o receive samples will be considered to have poor adherence), misidentification of newly treated pati
54 icult as there are no existing biomarkers of poor adherence or inadequate treatment earlier than 2 mo
55 or 100-fold concentration differences due to poor adherence or less frequent prescribed dosing, vagin
56 elect for a resistant subpopulation, whereas poor adherence or second-line therapy resulted in the re
57 ause patients do not take their medications (poor adherence) or because providers do not increase med
59 rved in 60% of cases and was associated with poor adherence (p<0.001) and subsequent development of d
61 chieve HIV RNA suppression by 6 months, with poor adherence, rather than HIV drug resistance, driving
62 th persistent low CD4 cell counts because of poor adherence, resistance to antiretroviral drugs, or b
63 (RR, 6.75; 95% CI, 1.11-70.9; P = .036) and poor adherence (RR, 7.50; 95% CI, 1.23-78.7; P = .026).
64 ns in addressing modifiable risk factors for poor adherence (such as depression, stress, and lower ed
67 cholesterolemia) that could be attributed to poor adherence to a healthy lifestyle, we calculated the
71 od, hygiene, and shelter needs), followed by poor adherence to antiretroviral therapy, not having a c
74 that IPs reported inadequate drug provision, poor adherence to clinical national guidelines, and that
75 symptoms can be poorly controlled because of poor adherence to controller therapy, and this might be
76 tions may be acceptable to veterans who have poor adherence to existing evidence-based treatments for
82 l or other drug abuse problems combined with poor adherence to medication may signal a higher risk of
85 e term hypertension or its cause, leading to poor adherence to medications and limiting other effecti
86 Fifty-eight percent of patients exhibited poor adherence to prescribed antihypertensive medication
90 Subtherapeutic drug levels can be caused by poor adherence to the drug regimen, interactions with ot
92 se aspects of care; however, physicians show poor adherence to the guidelines despite the evidence th
93 Plasma tenofovir concentrations demonstrated poor adherence to the study product among study subjects
95 (<8.0 g/dL; AHR, 3.1; 95% CI, 2.3-4.0), and poor adherence to therapy (AHR, 2.9; 95% CI, 2.2-3.9).
101 provider reliance on clinical diagnosis and poor adherence to treatment policy, especially in first
106 utcome variability, especially the impact of poor adherence, which is critical to manage PrEP in the
107 in patients with cystic fibrosis, indicating poor adherence, which is particularly common in adolesce
108 ble for isoniazid preventive therapy and the poor adherence with a complete regimen among those we in
110 ack of health insurance, and no access to or poor adherence with controller medications such as inhal
111 nt to at least 30% of surveyed patients with poor adherence, with most identifying multiple barriers
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