Kusuma Ikhwan Yuda, Muddather Hiba F, Kurnianto Arie Arizandi, Bahar Muh Akbar, Kurniasih Khamdiyah Indah, Tololiu Kevin Efrain, Schelz Zsuzsanna, Zupkó István, Matuz Maria, Benkő Ria
Institute of Clinical Pharmacy, Faculty of Pharmacy, University of Szeged, Szeged 6725, Hungary.
Pharmacy Study Program, Faculty of Health, Universitas Harapan Bangsa, Purwokerto 53182, Indonesia.
Telemed J E Health. 2024 Sep;30(9):2483-2494. doi: 10.1089/tmj.2023.0657. Epub 2024 Jun 26.
Telepharmacy can improve the delivery of pharmaceutical care services to patients. However, there are limited data regarding the knowledge, perceptions, and readiness (KPR) for telepharmacy in Indonesia. In this cross-sectional survey study, we assessed KPR and associated factors among Indonesian pharmacists, aiming to implement telepharmacy services in the future. Eligible participants were recruited from all provinces of Indonesia through a 24-item instrument. KPR scores were classified as low, moderate, and high. Sociodemographic characteristics and KPR of participants were summarized using descriptive statistics. Bivariate/multivariate ordinal logistic regression analyses were conducted to identify independent determinants of KPR. An adjusted odds ratio (AOR) with a 95% confidence interval (CI) was calculated for each determinant. A total of 6,059 pharmacists provided responses. Overall, 58.28% had a high knowledge score, and 63.51% expressed moderate perceptions toward telepharmacy services. Moreover, 70.21% showed a moderate level of readiness. Gender (male; AOR: 1.21 [95% CI: 1.06-1.39]), stable internet access (AOR: 0.75 [95% CI: 0.64-0.86]), and central region (AOR: 1.13 [95% CI: 0.99-1.29]) were significantly associated with perception toward telepharmacy. Readiness was significantly associated with age (17-25 years; AOR: 0.73 [95% CI: (0.60-0.89]), gender (male; AOR: 0.83 [95% CI: 0.72-0.95]), stable internet access (AOR: 0.75 [95% CI: 0.64-0.89]), education level (master/doctoral; AOR: 1.33 [95% CI: 1.06-1.67]), and central region (AOR: 1.29 [95% CI: 1.12-1.49]). Interestingly, knowledge levels were not significantly correlated with specific factors. Participants demonstrated high knowledge, without significant influencing factors. However, they showed moderate perceptions and readiness levels, influenced by sociodemographic factors, including gender, age, education level, internet access, and regional disparities. Therefore, targeted interventions (e.g., telepharmacy training and regional outreach) are imperative to enhancing perceptions and readiness, fostering the effective integration of telepharmacy services, and advancing pharmaceutical care in Indonesia.
远程药学可以改善向患者提供药学服务的情况。然而,关于印度尼西亚远程药学的知识、认知和准备情况(KPR)的数据有限。在这项横断面调查研究中,我们评估了印度尼西亚药剂师的KPR及相关因素,旨在未来实施远程药学服务。通过一份包含24个条目的问卷从印度尼西亚所有省份招募符合条件的参与者。KPR分数分为低、中、高三个等级。使用描述性统计总结参与者的社会人口学特征和KPR。进行双变量/多变量有序逻辑回归分析以确定KPR的独立决定因素。为每个决定因素计算调整后的优势比(AOR)及95%置信区间(CI)。共有6059名药剂师提供了回复。总体而言,58.28%的人知识得分高,63.51%的人对远程药学服务表达了中等程度的认知。此外,70.21%的人表现出中等程度的准备情况。性别(男性;AOR:1.21 [95% CI:1.06 - 1.39])、稳定的网络接入(AOR:0.75 [95% CI:0.64 - 0.86])和中部地区(AOR:1.13 [95% CI:0.99 - 1.29])与对远程药学的认知显著相关。准备情况与年龄(17 - 25岁;AOR:0.73 [95% CI:(0.60 - 0.89)])、性别(男性;AOR:0.83 [95% CI:0.72 - 0.95])、稳定的网络接入(AOR:0.75 [95% CI:0.64 - 0.89])、教育水平(硕士/博士;AOR:1.33 [95% CI:1.06 - 1.67])和中部地区(AOR:1.29 [95% CI:1.12 - 1.49])显著相关。有趣的是,知识水平与特定因素没有显著相关性。参与者表现出较高的知识水平,没有显著的影响因素。然而,他们的认知和准备水平中等,受到包括性别、年龄、教育水平、网络接入和地区差异等社会人口学因素的影响。因此,有针对性的干预措施(如远程药学培训和区域推广)对于提高认知和准备情况、促进远程药学服务的有效整合以及推动印度尼西亚的药学服务至关重要。