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1 atios=3.7-28.5, depending on the severity of nonadherence).
2 tor scale, which assesses beliefs related to nonadherence.
3 electronic prescription status with primary nonadherence.
4 ne of the variables measured were related to nonadherence.
5 ipients persisted in the absence of reported nonadherence.
6 5% CI, 1.1-12.3) was associated with primary nonadherence.
7 iated with a higher likelihood of medication nonadherence.
8 we need more information on risk factors for nonadherence.
9 are (4 of 111; 3.6%) and was associated with nonadherence.
10 rimary outcomes were TKI discontinuation and nonadherence.
11 e associated with increased rates of primary nonadherence.
12 iation between life chaos and CVD-medication nonadherence.
13 screenings could identify those at risk for nonadherence.
14 techniques may have the potential to reduce nonadherence.
15 life chaos is associated with CVD-medication nonadherence.
16 [1.02-1.12]) in odds of reporting medication nonadherence.
17 quartile increased, patients exhibited more nonadherence.
18 ctronic prescribing affects rates of primary nonadherence.
19 were most closely associated with treatment nonadherence.
20 t their transplant and medication beliefs in nonadherence.
21 ciated with financial hardship and treatment nonadherence.
22 tem) were tested to identify contributors to nonadherence.
23 patient in CP should raise the suspicion of nonadherence.
24 and did not achieve a higher proportion with nonadherence.
25 socioeconomic status associated with higher nonadherence.
26 Similar results were seen with nonadherence.
27 tential objective tool to monitor medication nonadherence.
28 ly brief periods of antipsychotic medication nonadherence.
29 sciplines involved of the key issues driving nonadherence.
30 Younger women are at high risk of nonadherence.
31 to take medications is an important cause of nonadherence.
32 ge range persists in the absence of reported nonadherence.
33 improved survival in the absence of reported nonadherence.
34 Interface fluid metrics, graft nonadherence.
35 scriptions were associated with less primary nonadherence.
36 and may be associated with a higher rate of nonadherence.
37 excess risk of stroke death associated with nonadherence.
38 o medications for chronic conditions with HT nonadherence.
39 cially low income) is associated with statin nonadherence.
40 increased comorbidities were associated with nonadherence.
41 between prior medication nonadherence and HT nonadherence.
42 ween humoral immunity, cellular immunity and nonadherence.
43 re further from the null when correcting for nonadherence: 1) among the strata with an estimated 100%
44 linical community could substantially reduce nonadherence: 1) identifying monitoring methods; 2) impr
45 cluded beta-blocker intolerance (15; 32%) or nonadherence (10; 21%) and disease factors (18; 38%; cat
46 nonadherence (7%; 95% CI, 3%-12%), moderate nonadherence (13%; 95% CI, 8%-20%), mild nonadherence (2
47 ormation criterion = -23611.8): severe early nonadherence (13%; 95% confidence interval [CI], 8%-20%)
49 ate nonadherence (13%; 95% CI, 8%-20%), mild nonadherence (26%; 95% CI, 19%-34%), and near-perfect ad
50 adherence, (2) the prevalence of medication nonadherence, (3) the association between nonadherence a
51 ary language had the highest rate of primary nonadherence (33.9%) compared with Spanish (29%) or othe
54 dence interval [CI], 8%-20%), severe delayed nonadherence (7%; 95% CI, 3%-12%), moderate nonadherence
56 rporating both intentional and unintentional nonadherence, a measure "actual adherence" was calculate
58 sed on a preclinical model, demonstrate that nonadherence alone is not a sufficient condition for MDR
61 ating peak hazards of mortality and reported nonadherence among 567 patients transplanted between age
63 egression was used to estimate predictors of nonadherence and account for patient and physician clust
64 th the strongest risk factors including past nonadherence and being an adolescent or young adult.
65 privation (economically motivated treatment nonadherence and broader hardships related to medical ex
66 ed with iOCT are associated with early graft nonadherence and can be quantified with an automated alg
69 r clozapine discontinuation is confounded by nonadherence and other unobserved factors and to what ex
70 on nonadherence, (3) the association between nonadherence and outcomes, (4) the reasons for nonadhere
72 graft losses were caused at least in part by nonadherence and premature termination of treatment.
74 antipsychotics are used to reduce medication nonadherence and relapse in schizophrenia-spectrum disor
76 ared with SD alone, for assessing medication nonadherence and the possibility of allograft rejection
77 dy outcomes were the overall rate of primary nonadherence and the rate for each treatment-number subg
78 f these low-cost interventions on medication nonadherence and to identify their most useful component
80 wo had poor inhaler technique (unintentional nonadherence), and one also denied nonadherence to predn
82 odes of ABMR occurred, all in the context of nonadherence, and all associated with in vitro anti-HLA
83 nadherence and outcomes, (4) the reasons for nonadherence, and finally, (5) interventions to improve
84 e occurs, identify patients prone to primary nonadherence, and simplify medication regimens to maximi
85 identified important factors associated with nonadherence, and two recent trials tested interventions
90 fter 5 days (P = 0.02) and a Fe(NO) test for nonadherence (area under the curve = 0.86; 95% confidenc
92 regarding the prevalence and consequence of nonadherence, barriers to adherence and new intervention
93 DOICS (budesonide 1,600 mug) and a test for nonadherence based on changes in Fe(NO) was developed.
94 egimens are widely assumed to forgive modest nonadherence, because virological suppression in plasma
96 , was initiated to gain further insight into nonadherence behavior and to identify priorities for opt
97 decline in the rate of several cost-related nonadherence behaviors, patients reporting failure to fi
98 ssociated with higher life chaos: medication nonadherence (beta=1.86; 95% confidence interval [CI], 0
100 1-year period, and the difference in primary nonadherence between patients who received electronic pr
101 bserved effects strongly suggest that modest nonadherence can cause new cycles of HIV-1 replication t
105 barriers were associated with higher odds of nonadherence: decreased self-efficacy (OR, 4.7; 95% CI,
106 mary outcome was the overall rate of primary nonadherence, defined as filling and picking up all pres
107 t proportion of underuse is owing to primary nonadherence, defined as the rate at which patients fail
108 ultivariable analysis adjusting for reported nonadherence demonstrated lower mortality among patients
110 ciated with financial hardship and treatment nonadherence during and following adjuvant chemotherapy
111 dentified 13 as nonadherent; eight confirmed nonadherence during interview (three of whom had excelle
116 we estimated the risk of discontinuation and nonadherence for patients with higher (top quartile) ver
117 the BCR-ABL1 doubling time could distinguish nonadherence from resistance as the cause of lost respon
122 Optimizing medication regimens can reduce nonadherence; however, often a complex interplay of fact
123 d the recognized complications of medication nonadherence in adults with epilepsy, identifying the ra
124 ificant difference by sex or age for primary nonadherence in any of the 3 treatment-number groups.
125 fying the rates, patterns, and predictors of nonadherence in children with epilepsy is imperative.
126 he onset and evolution of antiepileptic drug nonadherence in children with newly diagnosed epilepsy r
132 ey were less likely to adhere to medication (nonadherence in youngest vs. oldest: 24% vs. 7%, p = 0.0
133 haracteristics most strongly associated with nonadherence, including age >84 years, not having an AMI
137 Acute rejection associated with medication nonadherence is a major cause of allograft loss in pedia
144 losis studies, we recently demonstrated that nonadherence is not a significant factor for ADR and tha
153 stimates ranging from 75% to no effect, with nonadherence likely resulting in attenuated estimates of
154 c medication monitoring further reveals that nonadherence manifests early after transplant, although
155 nosticators, we found that patients with 6MP nonadherence (mean adherence rate <95%) were at a 2.7-fo
156 dent risk factors common to all cost-related nonadherence measures were female sex, younger age, lowe
157 ims for a hormonal therapy prescription) and nonadherence (medication possession rate < 80%) was exam
158 rs associated with early discontinuation and nonadherence (medication possession ratio < 80%) of horm
159 type, thioguanine nucleotide levels, and 6MP nonadherence (MEMS-based adherence <95%) associated with
161 rospective studies on the natural history of nonadherence (NA) in kidney transplant recipients (KTRs)
162 A history of mental health (MH) disorders or nonadherence (NA) may be barriers to completing the work
165 forts must be made to understand why primary nonadherence occurs, identify patients prone to primary
166 -up eye care appointment was associated with nonadherence (odds ratio, 0.67; 95% CI, 0.45-0.99).
167 the modifiable factors contributing to early nonadherence of evidence-based medications after acute M
169 This study examined the effect of medication nonadherence on the return of positive symptoms among re
170 ditions that did not allow for the impact of nonadherence or feeding on the possible pharmacokinetic
173 and was characterized by young age, frequent nonadherence, or suboptimal immunosuppression and de nov
175 ed with missed appointments and whether such nonadherence poses significant harm to patients and incr
177 dical interpretation, albumin level, medical nonadherence, previous number of emergency department vi
178 opayment, low SEP was associated with statin nonadherence (proportion of days covered <80%) among men
180 nic medications (n = 4214 [20%]) had a 23.1% nonadherence rate to HT (OR 1.43; 95% CI, 1.30-1.58).
181 nd were adherent (n = 9223 [43%]) had a 9.8% nonadherence rate to HT (relative to those without prior
186 P = .01) significantly correlated with graft nonadherence rates within the first postoperative week.
195 uggests that efforts to improve cost-related nonadherence should focus both on financial hardship and
197 cific antibodies (52% vs. 13%; P=0.001), and nonadherence/suboptimal immunosuppression (56% vs. 0%; P
199 n 6-MP ingestion habits were associated with nonadherence (taking 6-MP with dairy [odds ratio (OR), 1
201 t represents a small component of medication nonadherence, the correlates to abandonment highlight im
202 an be associated with misuse, diversion, and nonadherence; these limitations may be obviated by a sus
204 ant role in determining patients at risk for nonadherence to a subsequent medication for a different
210 ere identified that captured the spectrum of nonadherence to antiepileptic drugs among children with
211 In the DENERHTN trial, the prevalence of nonadherence to antihypertensive drugs at 6 months was h
215 ink from cognitive impairment and medication nonadherence to clinical outcomes (eg, hospitalization a
216 To analyze factors associated with primary nonadherence to dermatologic medications and study wheth
217 imary care, a planned revisit, the patient's nonadherence to ED recommendations, or poor-quality care
220 and predictors of early discontinuation and nonadherence to hormonal therapy in patients enrolled in
226 s following kidney transplantation including nonadherence to immunosuppressant medication, graft fail
227 mong patients stratified by center report of nonadherence to immunosuppression that compromised recov
229 ater mortality hazard and greater chances of nonadherence to immunosuppressive medication after HTx,
231 high mortality risk attributed to increased nonadherence to immunosuppressive medication in this age
233 cantly associated with study site (P = .03), nonadherence to initial therapy (adjusted odds ratio [AO
235 lt, Child Protective Services (CPS) reports, nonadherence to medical care, and immunization delay amo
239 f hypertension and pseudoresistance, such as nonadherence to medication, intolerance of medication, a
241 Conclusions and Relevance: We found that nonadherence to medications for chronic conditions prior
242 ed the association between patterns of prior nonadherence to medications for chronic conditions with
244 doresistant hypertension, which results from nonadherence to medications or from elevated blood press
245 AS (OR 3.98, 95% CI 1.01-15.81, P=0.039) and nonadherence to Milan criteria (OR 5.69, 95% CI 1.14-28.
247 ions prior to HT was associated with greater nonadherence to oral HT in patients with breast cancer.
249 obal challenge for psychiatry and has linked nonadherence to poorer outcomes, including hospital admi
250 tentional nonadherence), and one also denied nonadherence to prednisolone despite nonadherent blood l
257 % CI, 24.5% to 32.9%) of physicians reported nonadherence to screening recommendations for women at l
258 ess the risk of fatal stroke associated with nonadherence to statin and/or antihypertensive therapy.
259 s reveal substantial underutilization of and nonadherence to statin therapy for secondary prevention.
260 ccurred infrequently and was associated with nonadherence to study medication in the majority of case
262 ality by 8% (95% UR: 4%-13%), while reducing nonadherence to the corresponding regimens by 50% reduce
268 opic myopia or hyperopia and in the event of nonadherence to traditional medical treatment, phakic an
271 ission, as well as to antiretroviral therapy nonadherence, treatment interruptions, and missed clinic
272 ng but did not take medication), five denied nonadherence, two had poor inhaler technique (unintentio
275 multivariable analysis, the risk of primary nonadherence was 16 percentage points lower among patien
279 id not report history of SI at baseline, ARV nonadherence was associated with sexual initiation durin
286 , 3, 4, or 5 prescriptions, rates of primary nonadherence were 33.1%, 28.8%, 26.4%, 39.8%, and 38.1%,
288 eporting likelihood of being reprimanded for nonadherence were more likely to adhere (odds ratio 2.40
289 ndently associated with an increased risk of nonadherence were negative general beliefs about medicat
294 sets of operational criteria for medication nonadherence with differing levels of severity were comp
295 univariate analysis, there was less primary nonadherence with electronic prescriptions compared with
296 DEs), as well as medication discrepancies or nonadherence with high potential for future harm (potent
298 outcomes included the association of primary nonadherence with sex, age, relationship status, primary
299 ality, altered digestion and absorption, and nonadherence with supplementation regimens contribute to
300 ial in which some patients are randomized to nonadherence would be unethical; therefore, other study
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