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1 lifestyles, optimise medication, and improve treatment adherence.
2 re were no differences in service contact or treatment adherence.
3 ia that compromise quality of life and limit treatment adherence.
4 er treatment initiation among women or lower treatment adherence.
5 ex disparity in treatment initiation and not treatment adherence.
6 creasing rates of treatment, monitoring, and treatment adherence.
7 onal incentives contingent on abstinence and treatment adherence.
8 ing, willingness to adhere to treatment, and treatment adherence.
9 s, family, and friends was a facilitator for treatment adherence.
10 essing the ingestion of oral medications and treatment adherence.
11 easures that may prevent relapse and improve treatment adherence.
12 vels of psychosocial well-being and rates of treatment adherence.
13 only one tablet once-a-day, which increases treatment adherence.
14 Three studies added to the understanding of treatment adherence.
15 hanced by community-based social support for treatment adherence.
16 be an important consideration in maximizing treatment adherence.
17 , 0.88-3.89-borderline), partial/poor asthma treatment adherence (2.54, 0.97-6.67-borderline), and an
18 Because of inadequate clinical follow-up or treatment adherence, 2251 infants were included in the p
19 t inclusion, 20.9% of patients reported good treatment adherence, 72.0% minor nonadherence, and 7.1%
22 epression in primary care resulted in better treatment adherence and better clinical outcomes at 4 an
23 therapy sessions holds promise for improving treatment adherence and completion among depressed patie
25 ivational therapy intervention on outpatient treatment adherence and completion for patients with com
26 als, which had found greater improvements in treatment adherence and depressive symptoms at 4 and 7 m
28 ntions for reducing incidence were improving treatment adherence and increasing testing frequency and
29 at 6 months and every 12 months, to monitor treatment adherence and minimize failure, and will publi
32 ying anorexia and weight loss that may limit treatment adherence and reduce patient quality of life.
34 ve diagnoses, together with an evaluation of treatment adherence and side-effects from medications.
35 mental disorders, technologies for promoting treatment adherence and supporting recovery, online self
36 It has been suggested that SDM can improve treatment adherence and that ignoring patients' personal
37 l factors), pathophysiology, and response to treatments (adherence and relapse) of drug dependence vs
38 ms, regular patient follow-up, monitoring of treatment adherence, and a prominent role for the mental
39 including impaired quality of life, reduced treatment adherence, and increased disease-related morbi
40 decreased cognition leading to problems with treatment adherence, and the role of screening and basic
41 ioural factors including self-management and treatment adherence, and therefore, there is a reasonabl
43 py require support to insure a high level of treatment adherence, but the evidence about effective in
45 Patients receiving TTFC maintained better treatment adherence compared with patients receiving TRA
49 portional hazards models adjusted for recent treatment adherence estimated the relative risk of virol
51 er quality that is a source of risk and high treatment adherence (>90% of water consumed is treated).
52 f virologic failure in the setting of recent treatment adherence (hazard ratio, 3.45 [95% confidence
53 e development of substance use disorders and treatment adherence in bipolar youth are necessary to im
57 he lack of interventional studies addressing treatment adherence in TYA patients with cancer, with on
58 enhance psychosocial well-being and increase treatment adherence in young adult patients with advance
59 ogist alliance, psychosocial well-being, and treatment adherence in young adults with advanced cancer
62 urthermore, understanding predictors of poor treatment adherence is a necessary step toward developin
63 gain, leading to further morbidity and poor treatment adherence, is a common consequence of treatmen
65 were associated with improved HT control and treatment adherence, mainly evaluated in US settings.
66 ons, combined with the reality of suboptimal treatment adherence, make drug resistance a clinical and
68 nclature, prevalence, origins, and effect on treatment adherence of TCS phobia in atopic dermatitis.
73 to evaluate the relationship between DFS and treatment adherence (persistence [duration] and complian
75 on should be a priority if one is to improve treatment adherence, quality of life, and outcomes in tr
78 lower levels of psychosocial well-being and treatment adherence relative to patients with cancer in
79 eful in characterizing study populations, in treatment adherence research, and as a clinical and rese
82 uberculosis drugs; and strategies to improve treatment adherence, such as directly observed therapy,
84 lly meaningful outcome indicators, including treatment adherence, symptom remission, and quality of l
85 testing, linkage to care, treatment uptake, treatment adherence, treatment completion, treatment out
89 tly favored study patients, but IL28B GT and treatment adherence were the most important factors dete
90 th them, and might help to improve long-term treatment adherence when symptoms cannot be alleviated e
92 of symptoms, difficulties with eating food, treatment adherence, worry about symptoms and illness, f
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