门诊慢性病的依从性、负担和发病率:A-CaMo I

Ramón Romano, Juan Espaillat, Gabriela Anzani, Arthur Leyba, Isabella Gutiérrez, Génesis Vegazo, Michael Richardson, Laura Reyes, Laura Díaz, Shamelle López, Sharon Calderato, Nadja García, Rosaliz Piña, Erika Alcántara
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引用次数: 0

摘要

导言:慢性非传染性疾病(NCDs)是全球健康面临的一项重大挑战,因为其病程长、进展速度快,导致不依从性增加,尤其是在发展中国家。根据世卫组织的定义,坚持服药对于维持患者的生活质量和降低发病率至关重要,但这一比例仍然不足,在发达国家,不坚持服药的比例约为 50%,其中 30% 是无意造成的。了解疾病负担至关重要,但多米尼加共和国和拉美国家缺乏对用药依从性、疾病负担和发病率的研究,因此有必要开展全面的研究。研究方法:该项目是一项横断面前瞻性研究,对门诊抽样的 284 名患者的社会人口学数据、既往病史和用药方案进行了调查。研究采用便利抽样的方式选取患者,随后对其进行筛查,并在就诊后对其进行访谈,以了解其是否患有 MAR 量表或 DBMA 问卷中列出的任何一种疾病。筛选只针对符合纳入标准(年龄大于 18 岁,确诊患有两种量表中的一种疾病)且不符合排除标准(因语言障碍无法填写问卷)的患者。收集到的数据使用 KoboToolBox 程序进行存储,随后用 STATA BE 对平均值和标准差进行汇总,以便进一步处理。统计检验以 5%、95% CI 和 p < 0.05 为统计显著性。结果:样本由 133 人组成,平均年龄约为 58.4 岁,女性参与者占大多数。大多数参与者已婚,多米尼加人,拉美裔,主要信仰基督教。关于既往病史,虽然相当一部分人以前没有呼吸系统或心血管疾病,但糖尿病却很普遍,这表明糖尿病对目前的健康状况和治疗依从性有潜在影响。治疗依从性以每天和每周的分数来衡量,从 1.0 到 3.8 不等,每位患者的负担分数平均为 50.1,每种疾病的负担分数平均为 2.6。分析结果显示,16.9%的参与者患有单病种,而83.1%的参与者患有多病种,这显示了组群中健康状况的复杂性。然而,相当一部分患者患有糖尿病,这可能会影响他们目前的健康状况和治疗依从性。此外,研究还深入探讨了影响坚持治疗的因素、负担水平以及不坚持治疗的原因。研究结果表明,未婚患者和受教育程度较低的患者往往负担较重,依从性得分较低。抑郁或焦虑、骨质疏松症和心力衰竭等精神疾病与负担水平升高有关。该研究还评估了依从性和负担测量工具的可靠性,强调了在解释结果时考虑人群差异性的重要性。不足之处包括在患者选择和数据收集方面存在挑战,尤其是在多病患者方面。总之,该研究强调了在未来的研究工作中需要全面探索依从性、负担和发病率,以有效预测疾病控制、进展和患者生活质量。
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Adherence, burden, and morbidity of chronic diseases in an outpatient clinic: A-CaMo I
Introduction: Chronic non-communicable diseases (NCDs) are a significant global health challenge due to their prolonged duration and varied progression rates, leading to increased noncompliance, especially in developing nations. Pharmacological adherence, defined by WHO, is crucial for maintaining patients' quality of life and reducing morbidity, yet it remains inadequate, with about 50% non-adherence in developed countries, 30% of which is unintentional. Understanding disease burden is vital, but research on medication adherence, burden, and morbidity in the Dominican Republic and Latin American countries is lacking, necessitating comprehensive studies. Objectives: Ascertaining the degree of pharmaceutical adherence, disease burden, and morbidity amongst individuals with chronic illnesses were the study’s primary endpoints. Methodology: The project was a cross-sectional, prospective study that examined the sociodemographic data, past medical history, and medication regimens of a sample of 284 patients attending an outpatient clinic. Patients were selected using convenience sampling, to be later screened and interviewed after consultation for any of the diseases present on the MAR-Scale or the DBMA questionnaires. The screening sought only those individuals who met inclusion criteria (> 18 years old, diagnosed with a disease present on either scale) and did not meet exclusion criteria (not being able to fill the questionnaire due to language barrier). Data collected was stored using the KoboToolBox program and later summarized with mean and standard deviation for further processing using STATA BE. Statistical tests were programmed with an alpha of 5%, 95% CI, and p < 0.05 for statistical significance. Results: The sample, comprising 133 individuals, had a mean age of approximately 58.4 years, with a majority of female participants. Most participants were married, Dominican, and of Hispanic Latino ethnicity, with Christianity being the predominant religion. Regarding past medical history, while a substantial portion had no prior respiratory or cardiovascular ailments, diabetes mellitus was prevalent, indicating potential implications for current health status and treatment adherence. Adherence, measured by daily and weeklyscores, ranged from 1.0 to 3.8, with the burden score per patient averaging 50.1 and per disease averaging 2.6. The analysis revealed that 16.9% of participants were monomorbid, while 83.1% were multimorbid, showcasing the complexity of health conditions within the cohort. Conclusion: The study's key results reveal a significant portion of patients without a history of respiratory or cardiovascular diseases, suggesting a relatively healthy baseline. However, a notable proportion had diabetes, potentially impacting their current health status and treatment adherence. Furthermore, the study delves into factors influencing adherence, burden levels, and reasons for nonadherence. Findings indicate unmarried patients and those with lower education levels tend to exhibit higher burden levels and lower adherence scores. Mental health conditions like depression or anxiety, osteoporosis, and heart failure are associated with elevated burden levels. The study also assesses the reliability of adherence and burden measurement tools, emphasizing the importance of considering population variability in interpreting results. Limitations include challenges in patient selection and data collection, particularly regarding patients with multimorbidity. Overall, the study highlights the need for comprehensive exploration of adherence, burden, and morbidity to predict disease control, progression, and patient quality of life effectively in future research endeavors.
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