Factors Influencing Drug Prescribing for Patients with Hospitalization History in Circulatory Disease: Patient Severity, Composite Adherence, and Physician-Patient Relationship - A Retrospective Cohort Study.

Autor:	Takura T; Nihon University School of Medicine, Department of Health Care Services Management, 30-1 Oyaguchi Kamicho, Itabashi-ku, Tokyo, JP.; The University of Tokyo, Graduate School of Medicine, Department of Healthcare Economics and Health Policy, Tokyo, JP., Yokoi H; Fukuoka Sanno Hospital, Cardiovascular Center, International University of Health and Welfare, Fukuoka, JP., Honda A; Saitama Prefecture Institute of Public Health, Saitama, JP.
Jazyk:	angličtina
Zdroj:	JMIR aging [JMIR Aging] 2024 Oct 16. Date of Electronic Publication: 2024 Oct 16.
DOI:	10.2196/59234
Abstrakt:	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.
Databáze:	MEDLINE
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