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1 ty in case of suboptimal treatment (e.g. low treatment adherence).
2 ddress issues of safety and problems of poor treatment adherence.
3 nd potential adverse effects, leading to low treatment adherence.
4 Both groups exhibited moderate treatment adherence.
5 promote informed decision-making and improve treatment adherence.
6 also highlighted the critical importance of treatment adherence.
7 rates of healthcare seeking, diagnosis, and treatment adherence.
8 sion modeled characteristics associated with treatment adherence.
9 ation for regular dental visits and improved treatment adherence.
10 avoiding the adverse side effects that limit treatment adherence.
11 romote patient engagement, satisfaction, and treatment adherence.
12 GTCAT were also correlated with the rates of treatment adherence.
13 ed all patients as randomized, regardless of treatment adherence.
14 , and other patient determinants on ADRs and treatment adherence.
15 events, dropouts due to adverse effects, and treatment adherence.
16 s, family, and friends was a facilitator for treatment adherence.
17 lifestyles, optimise medication, and improve treatment adherence.
18 re were no differences in service contact or treatment adherence.
19 ia that compromise quality of life and limit treatment adherence.
20 er treatment initiation among women or lower treatment adherence.
21 ex disparity in treatment initiation and not treatment adherence.
22 creasing rates of treatment, monitoring, and treatment adherence.
23 onal incentives contingent on abstinence and treatment adherence.
24 ing, willingness to adhere to treatment, and treatment adherence.
25 essing the ingestion of oral medications and treatment adherence.
26 easures that may prevent relapse and improve treatment adherence.
27 vels of psychosocial well-being and rates of treatment adherence.
28 only one tablet once-a-day, which increases treatment adherence.
29 Three studies added to the understanding of treatment adherence.
30 hanced by community-based social support for treatment adherence.
31 be an important consideration in maximizing treatment adherence.
32 , 0.88-3.89-borderline), partial/poor asthma treatment adherence (2.54, 0.97-6.67-borderline), and an
33 sed phototherapy, was associated with better treatment adherence (202 patients [51.4%] vs 62 patients
34 Because of inadequate clinical follow-up or treatment adherence, 2251 infants were included in the p
35 t inclusion, 20.9% of patients reported good treatment adherence, 72.0% minor nonadherence, and 7.1%
36 -term outcomes, clarify the association with treatment adherence, a key predictor of outcome in TBM,
38 treatment has affected viral suppression or treatment adherence among individuals who self-reported
40 h, can negatively affect quality of life and treatment adherence among people with human immunodefici
41 re continuum (engagement in care, medication/treatment adherence) among women with HIV in Rwanda.
43 adication therapy failure, particularly when treatment adherence and antibiotic susceptibility are co
44 s and HSRs represent significant barriers to treatment adherence and are recognised risk factors for
46 epression in primary care resulted in better treatment adherence and better clinical outcomes at 4 an
47 therapy sessions holds promise for improving treatment adherence and completion among depressed patie
49 ivational therapy intervention on outpatient treatment adherence and completion for patients with com
51 als, which had found greater improvements in treatment adherence and depressive symptoms at 4 and 7 m
53 44-fold significantly higher likelihood when treatment adherence and H pylori clarithromycin suscepti
55 procedures may have a substantial impact on treatment adherence and improve long-term health outcome
57 ntions for reducing incidence were improving treatment adherence and increasing testing frequency and
58 at 6 months and every 12 months, to monitor treatment adherence and minimize failure, and will publi
60 ons were effective at improving tuberculosis treatment adherence and outcomes, and the trial suggests
61 CFs' characteristics usually associated with treatment adherence and outcomes, were also considered i
65 e the association between race/ethnicity and treatment adherence and persistence among patients with
66 e found to display racial differences in the treatment adherence and persistence of biologics, with s
68 ying anorexia and weight loss that may limit treatment adherence and reduce patient quality of life.
71 t centricity and patient education to ensure treatment adherence and satisfaction with care provision
72 alth information of high quality may promote treatment adherence and self-management for patients wit
73 ve diagnoses, together with an evaluation of treatment adherence and side-effects from medications.
74 bstantial indirect costs that interfere with treatment adherence and stress patients and their relati
75 mental disorders, technologies for promoting treatment adherence and supporting recovery, online self
76 It has been suggested that SDM can improve treatment adherence and that ignoring patients' personal
77 cation fatigue that might lead to suboptimal treatment adherence and the emergence of drug-resistant
78 Given the potential of depression to reduce treatment adherence and thus increase the risk of glauco
80 l factors), pathophysiology, and response to treatments (adherence and relapse) of drug dependence vs
81 ms, regular patient follow-up, monitoring of treatment adherence, and a prominent role for the mental
82 sensitivity analyses following per-protocol, treatment adherence, and complete case analysis approach
83 alth issue, with poor clinical outcomes, low treatment adherence, and early dropouts being major chal
84 ted with fewer hospital readmissions, higher treatment adherence, and higher patient satisfaction and
85 including impaired quality of life, reduced treatment adherence, and increased disease-related morbi
88 decreased cognition leading to problems with treatment adherence, and the role of screening and basic
89 ioural factors including self-management and treatment adherence, and therefore, there is a reasonabl
91 ch patterns of direct-acting antiviral (DAA) treatment adherence are associated with SVR in this popu
92 reover, access to care, linkage to care, and treatment adherence are challenging for such a marginali
94 ly decreases the likelihood of remission and treatment adherence but also increases the risk of disab
95 py require support to insure a high level of treatment adherence, but the evidence about effective in
96 logical therapeutics and will likely improve treatment adherence by providing long-acting effects ove
98 ence (Cohen d = 0.58; 95% CI, 0.47-0.69) and treatment adherence (Cohen d = 0.62; 95% CI, 0.40-0.84)
99 Patients receiving TTFC maintained better treatment adherence compared with patients receiving TRA
100 blished factors like exogenous exposures and treatment adherence contribute to variability in asthma
102 point abstinence at 9 weeks and 6 months, TB treatment adherence (days receiving TB treatment), TB tr
104 aviours related to opioid use help to ensure treatment adherence, detect NMOU and support therapeutic
106 avioural, and social functioning, as well as treatment adherence, disease progression, and wider fami
107 portional hazards models adjusted for recent treatment adherence estimated the relative risk of virol
108 g; management recommendations for incomplete treatment adherence; expanded eligibility for simplified
111 of pediatric CML (suboptimal response, poor treatment adherence, growth retardation, and presentatio
112 er quality that is a source of risk and high treatment adherence (>90% of water consumed is treated).
113 f virologic failure in the setting of recent treatment adherence (hazard ratio, 3.45 [95% confidence
116 e development of substance use disorders and treatment adherence in bipolar youth are necessary to im
117 ng device informed interventions may improve treatment adherence in children and adolescents with chr
121 imen estimand assessed effects regardless of treatment adherence in the intention-to-treat population
123 he lack of interventional studies addressing treatment adherence in TYA patients with cancer, with on
124 enhance psychosocial well-being and increase treatment adherence in young adult patients with advance
125 ogist alliance, psychosocial well-being, and treatment adherence in young adults with advanced cancer
126 ation self-administration (MSA) lead to poor treatment adherence, increased hospitalizations and high
127 ions as assigned at initiation regardless of treatment adherence ("initiator") and received according
129 promising human immunodeficiency virus (HIV) treatment adherence interventions have been identified,
131 duced MACCE recurrence risk, suggesting that treatment adherence is a key factor in secondary cardiov
132 urthermore, understanding predictors of poor treatment adherence is a necessary step toward developin
134 gain, leading to further morbidity and poor treatment adherence, is a common consequence of treatmen
136 ement, patient eligibility, patient consent, treatment adherence, loss to follow-up, and missing foll
137 were associated with improved HT control and treatment adherence, mainly evaluated in US settings.
138 ons, combined with the reality of suboptimal treatment adherence, make drug resistance a clinical and
139 ion of causes, such as food insecurity, poor treatment adherence, malabsorption, uncontrolled diabete
141 nclature, prevalence, origins, and effect on treatment adherence of TCS phobia in atopic dermatitis.
150 to evaluate the relationship between DFS and treatment adherence (persistence [duration] and complian
151 s with UC, no significant differences in the treatment adherence/persistence were observed between di
154 ons to identify areas of priorities and plan treatment adherence programs using surveillance data.
155 tions to identify areas of priority and plan treatment-adherence programs using surveillance data.
156 on should be a priority if one is to improve treatment adherence, quality of life, and outcomes in tr
158 mes included stereoacuity, binocular VA, and treatment adherence rates, analyzed by a 1-sample Wilcox
161 lower levels of psychosocial well-being and treatment adherence relative to patients with cancer in
162 eful in characterizing study populations, in treatment adherence research, and as a clinical and rese
165 ce at bimonthly and random call-back visits, treatment adherence, satisfaction, and changes in HIV, H
167 uberculosis drugs; and strategies to improve treatment adherence, such as directly observed therapy,
168 safer, highly effective MDR-TB regimens; and treatment adherence support are critically needed to opt
170 lly meaningful outcome indicators, including treatment adherence, symptom remission, and quality of l
172 ied the prognostic impact of age, as well as treatment adherence/toxicity patterns according to age,
173 testing, linkage to care, treatment uptake, treatment adherence, treatment completion, treatment out
174 ohort study from Brazil to evaluate glaucoma treatment adherence using a medication event monitoring
175 y eczema risk; and analysis of the effect of treatment adherence using pooled complier-adjusted-causa
176 d endline surveys and clinical data assessed treatment adherence, viral suppression, retention in car
178 vs usual care groups, respectively, mean TB treatment adherence was 174.3 (SD, 21.5) days vs 178.0 (
190 tly favored study patients, but IL28B GT and treatment adherence were the most important factors dete
191 th them, and might help to improve long-term treatment adherence when symptoms cannot be alleviated e
193 study in Latin America to evaluate glaucoma treatment adherence with MEMS devices and correlate adhe
195 of symptoms, difficulties with eating food, treatment adherence, worry about symptoms and illness, f