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首页> 外文期刊>Revista de Ciências Farmacêuticas Básica e Aplicada >Fatores para n?o-ades?o ao programa de controle da hipertens?o arterial em Campo Grande, MS
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Fatores para n?o-ades?o ao programa de controle da hipertens?o arterial em Campo Grande, MS

机译：密西西比州坎波格兰德市未遵守动脉高血压控制计划的因素

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摘要

A ades?o ao tratamento farmacológico em doen?as cr?nicas como a hipertens?o arterial, é fundamental para o controle, preven??o de complica??es e diminui??o da mortalidade. Identificar os fatores que levam a n?o ades?o ao programa de controle de hipertens?o arterial, em Unidades Básicas de Saúde de Campo Grande, MS e produzir um modelo de predi??o desta condi??o foi o objetivo do presente estudo. Utilizou-se o método de caso-controle, aninhado a coorte de pacientes cadastrados no programa, no período de 2002 a 2005. Foi utilizada regress?o logística tendo como variável-resposta ‘ades?o ao programa’. As associa??es significativas identificadas na análise univariada foram: características socioecon?micas, da doen?a, do tratamento e as relacionadas ao programa. Para prever a ades?o, mantiveram-se no modelo as seguintes variáveis: dificuldade em ir ao programa, renda familiar, presen?a de diabetes, escolaridade e viver com companheiro. Com base no modelo, a probabilidade do paciente ser classificado corretamente como aderente, é de aproximadamente, 80% e como n?o aderente, 67%. O modelo identifica precocemente, pacientes vulneráveis à n?o ades?o ao programa propiciando que este institua medidas voltadas aos prováveis, n?o aderentes. Palavras-chave: Hipertens?o arterial. Programa de controle da hipertens?o. Estudo caso-controle. Modelo de predi??o. Farmacoepidemiologia. ABSTRACT Factors for nonadherence to the Arterial Hypertension Control Program in Campo Grande, MS, Brazil Introduction: Adherence to the pharmacological treatment of chronic diseases such as arterial hypertension is decisive in their control, in preventing complications, and in decreasing mortality rates. Objective: To identify factors that led patients to drop out of an arterial hypertension control program available at local district clinics of the government-run National Health Service in Campo Grande, MS, Brazil, and to design a model to predict adherence. Methods: A nested case–control study was conducted on subjects selected from within a cohort of patients enrolled in the above program, from 2002 to 2005. Binary logistic regression was used, with 'adherence to program' as the binary response variable. Results: Data were subjected to logistic regression analysis to generate a model capable of predicting adherence. Factors identified: difficulty in going to the venue where the program was available, family income, presence of diabetes, level of education and living with a partner. When the logistic regression model was used, the probability of a patient being correctly classified as adherent and nonadherent was approximately 80% and 67%, respectively. Conclusion: The model enables early identification of patients prone to nonadherence to the control program, thus making it possible to implement measures directed at potentially nonadherent participants.
机译：在诸如高血压的慢性疾病中坚持药物治疗对于控制，预防并发症和降低死亡率至关重要。这项研究的目的是确定导致不遵守密西西比州坎普格兰德市基本卫生部门动脉高血压控制计划的因素，并针对这种情况建立预测模型。研究。使用病例对照方法，嵌套了2002年至2005年在该计划中注册的患者队列。使用Logistic回归和响应变量“对计划的遵守”。在单变量分析中确定的重要关联是：社会经济特征，疾病，治疗以及与该计划相关的那些关联。为了预测依从性，模型中保留了以下变量：参加该计划的难度，家庭收入，糖尿病的存在，受教育程度以及与伴侣生活在一起。根据该模型，将患者正确分类为依从性的可能性约为80％，不依从为67％。该模型可以尽早识别出易受不遵守该计划影响的患者，从而可以针对可能的，不遵守该规则的人制定措施。关键字：动脉高血压。高血压控制程序。病例对照研究。预测模型。药物流行病学。摘要：不遵守巴西MS坎波格兰德市动脉高血压控制计划的因素简介：坚持接受诸如高血压的慢性疾病的药理学治疗对控制他们，预防并发症和降低死亡率具有决定性作用。目的：确定导致患者退出在巴西密西西比州坎波格兰德市政府经营的国家卫生服务局当地诊所提供的动脉高血压控制计划的因素，并设计模型来预测依从性。方法：从2002年至2005年，对选自上述方案的一组患者中的受试者进行了巢式病例对照研究。采用二项logistic回归，以“对方案的依从性”为二元反应变量。结果：对数据进行逻辑回归分析，以生成能够预测依从性的模型。确定的因素：去提供该计划的地点的困难，家庭收入，糖尿病的存在，受教育程度和与伴侣生活在一起。当使用逻辑回归模型时，将患者正确分类为依从性和不依从性的概率分别约为80％和67％。结论：该模型可以及早识别出容易出现不遵守控制程序的患者，从而可以针对潜在的不遵守规则的参与者采取措施。

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