2001
DOI: 10.1590/s0066-782x2001000500001
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Characteristics associated with the dropout of hypertensive patients followed up in an outpatient referral clinic

Abstract: Objective -To determine the characteristics associated with the dropout of patients followed up in a Brazilian out patient clinic specializing in hypertension. 1.78 (1.28-2.48). Age increase was associated with a higher probability of follow-up with a relative risk of 0.98 (0.97-0.99 Methods

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Cited by 29 publications
(29 citation statements)
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“…Although no significant associations were observed between adherence and either gender or treatment, the fact that most of the participants were female septuagenarians might have increased their adherence levels to the drug treatment. Studies have revealed that adherence levels tend to be greater after 60 years of age (19,20) . Aging and the greater involvement in healthcare issues of patients with hypertension might lead to greater treatment adherence and improve disease control.…”
Section: Discussionmentioning
confidence: 99%
“…Although no significant associations were observed between adherence and either gender or treatment, the fact that most of the participants were female septuagenarians might have increased their adherence levels to the drug treatment. Studies have revealed that adherence levels tend to be greater after 60 years of age (19,20) . Aging and the greater involvement in healthcare issues of patients with hypertension might lead to greater treatment adherence and improve disease control.…”
Section: Discussionmentioning
confidence: 99%
“…Nitekim yapılan bazı araştırmalar, sigara içmeyen bireylerin tedaviye uyum düzeylerinin daha yüksek olduğunu bildirmiştir. [28][29][30][31] Etkili yaşam tarzı değişiklikleri ile birlikte tedaviye uyumun sağ-lanması, özellikle hipertansif hastalarda komplikasyonların önlenmesinde rol oynamaktadır. Tedaviye uyum sorunlarının çoğu sağlık profesyonellerinin ilgisi ile çözümlenebilir.…”
Section: Discussionunclassified
“…Within the context of smoking cessation treatment -including both face-to-face and web-based treatment -several person-, smoking, and health-related predictors of adherence have been examined. The likelihood of being adherent increases with higher age [33,34], mal gender [34], being unemployed [35], higher internet skills [35][36][37], negative attitude towards smoking and higher motivation to quit at baseline [35,38], higher selfefficacy at baseline [38], early success in quitting after treatment start [26,33,39], and lower nicotine dependency at baseline and fewer withdrawal symptoms after quitting [34]. The question arises if these predictors apply to blended treatment as well.…”
Section: Predictors Of Adherencementioning
confidence: 99%