影响有住院史的循环系统疾病患者处方用药的因素:患者严重程度、综合依从性和医患关系--一项回顾性队列研究。

IF 5 Q1 GERIATRICS & GERONTOLOGY JMIR Aging Pub Date : 2024-10-16 DOI:10.2196/59234
Tomoyuki Takura, Hiroyoshi Yokoi, Asao Honda
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引用次数: 0

摘要

背景:随着各国推广使用非专利药,其增长速度可能会趋于平稳,因此有必要进一步调查影响这一趋势的因素,包括医生和患者的观点。在确保医疗保健系统可持续发展的同时,可能还需要采取其他策略,以最大限度地促进向非专利药的转换,重点关注低成本以外的因素。强调可负担性和明确其他处方考虑因素至关重要:本研究旨在提供有关患者严重程度、综合依从性和医患关系如何影响非专利药转换的初步见解:本研究采用长期回顾性队列设计,分析了来自全国医疗保健数据库的数据。研究对象包括 2014 年 4 月至 2018 年 3 月(4 年)期间因心血管疾病(CVDs)(国际疾病分类第十版)住院并需要采取一级至三级预防措施的各年龄段患者,主要是老年人。我们以临床参数的时间变化为自变量,重点关注转用仿制药的情况。同时还考虑了生活方式因素(吸烟和饮酒)。依从性以包含 11 个要素的综合得分来衡量。医患关系根据医生更换与处方之间的时间间隔来确定。研究采用了逻辑回归分析和倾向评分匹配(PSM),并对医患关系、覆盖天数比例(PDC)和部分人群的依从性进行了补充分析:研究共纳入 48 456 名患者,平均随访时间为(36.1±8.8)个月。平均年龄为(68.3±9.9)岁,体重指数为(23.4±3.4)kg/m2,收缩压为(131.2±15.0)mmHg,低密度脂蛋白胆固醇(LDL-C)为(116.6±29.3)mg/dL,血红蛋白A1c(HbA1c)为(5.9%±0.8%),血清肌酐为(0.9±0.8)mg/dL。逻辑回归分析显示,非专利药转换与收缩压(几率比 [OR],0.996,95% 置信区间 [CI]:0.993-0.999)、血清肌酐水平(OR,0.837,95% CI:0.729-0.962)、谷草转氨酶水平(OR,0.994,95% CI:0.990-0.997)、PDC 评分(OR,0.959,95% CI:0.948-0.970)和依从性评分(OR,0.910,95% CI:0.875-0.947)。此外,随着 HbA1c 水平带和吸烟水平的改善,非专利药物的使用率也在增加(结论:虽然医生对非专利药物的理解会影响患者的选择,但这并不意味着非专利药物的使用率会降低):虽然医生的理解会影响非专利药的选择,但患者的病情(严重程度)和依从性也会影响这一决定。例如,肌酐水平的改善与非专利药的选择有关,而更牢固的医患关系与更高的非专利药使用率有关。如果非专利药的政策推广开始放缓,这些发现可能有助于合理开药。因此,在建立信任的同时预防严重疾病可能会带来临床效益和积极的社会经济成果:
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Factors Influencing Drug Prescribing for Patients with Hospitalization History in Circulatory Disease: Patient Severity, Composite Adherence, and Physician-Patient Relationship - A Retrospective Cohort Study.

Background: With countries promoting generic drug prescribing, their growth may plateau, warranting further investigation into the factors influencing this trend, including physician and patient perspectives. Additional strategies may be needed to maximize the switch to generic drugs while ensuring healthcare system sustainability, focusing on factors beyond mere low cost. Emphasizing affordability and clarifying other prescription considerations are essential.

Objective: This study aimed to provide initial insights into how patient severity, composite adherence, and physician-patient relationships impact generic switching.

Methods: This study utilized a long-term retrospective cohort design by analyzing data from a national healthcare database. The population included patients of all ages, primarily older adults, who required primary-to-tertiary preventive actions with a history of hospitalization for cardiovascular diseases (CVDs) (International Classification of Diseases, Tenth Revision) during April 2014 to March 2018 (4 years). We focused on switching to generic drugs, with temporal variations in clinical parameters as independent variables. Lifestyle factors (smoking and drinking) were also considered. Adherence was measured as a composite score comprising 11 elements. The physician-patient relationship was established based on the interval between physician change and prescription. Logistic regression analysis and propensity score matching (PSM) were employed, along with complementary analysis of physician-patient relationships, proportion of days covered (PDC), and adherence for a subset of the population.

Results: The study included 48,456 patients with an average follow-up of 36.1±8.8 months. The mean age was 68.3 ± 9.9 years, body mass index was 23.4 ± 3.4 kg/m2, systolic blood pressure was 131.2 ± 15.0 mmHg, low-density lipoprotein cholesterol (LDL-C) was 116.6 ± 29.3 mg/dL, hemoglobin A1c (HbA1c) was 5.9% ± 0.8%, and serum creatinine was 0.9 ± 0.8 mg/dL. Logistic regression analysis revealed significant associations between generic switching and systolic blood pressure (odds ratio [OR], 0.996, 95% confidence interval [CI]: 0.993-0.999), serum creatinine levels (OR, 0.837, 95% CI: 0.729-0.962), glutamic oxaloacetic transaminase levels (OR, 0.994, 95% CI: 0.990-0.997), PDC score (OR, 0.959, 95% CI: 0.948-0.970), and adherence score (OR, 0.910, 95% CI: 0.875-0.947). Additionally, generic drug rates increased with improvements in the HbA1c level band and smoking level (P<.01, P<.001). The group with a superior physician-patient relationship after PSM had a significantly higher rate of generic drug prescribing (51.6±15.2%) than the inferior relationship group (47.7±17.7%) (P<.001).

Conclusions: Although physicians' understanding influences the choice of generic drugs, patient condition (severity) and adherence also impact this decision. For example, improved creatinine levels are associated with generic drug choice, while stronger physician-patient relationships correlate with higher rates of generic drug utilization. These findings may contribute to the appropriate prescription of pharmaceuticals if the policy diffusion of generic drugs begins to slow down. Thus, preventing serious illness while building trust may result in clinical benefits and positive socio-economic outcomes.

Clinicaltrial:

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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
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