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基于网络的药学服务咨询中共同决策的理论模型与测量

Theoretical model and measurement of shared decision making in web-based pharmaceutical care consultation.

作者信息

Chen Haihong, Xiong Yuqi, Zhang Zinan, Zhou Qian, Wang Dan, Wang Xuemei, Zhang Xinping

机构信息

School of Health Policy & Management, Nanjing Medical University, Nanjing, China.

Zhongnan Hospital of Wuhan University, Wuhan, China.

出版信息

Digit Health. 2022 Apr 4;8:20552076221089794. doi: 10.1177/20552076221089794. eCollection 2022 Jan-Dec.

Abstract

OBJECTIVES

We aimed to construct a theoretical model and an observer-based measurement of shared decision making (SDM) in web-based pharmaceutical care consultation.

METHODS

We first constructed a theoretical model through analysis of SDM models and interviews with 24 key informants. Then, the initial measurement was formulated, and the content was evaluated by 16 key informants alone. A cross-sectional study was executed, where 300 provider-patient encounters were collected at the online platform 'Good Doctor Website', for reliability and validity assessment. Content validity was evaluated by appropriateness score, that is the median of 7-9 and without disagreement. Interrater reliability was evaluated by Spearman correlation coefficient using 30 out of 300 samples. Single indicator validity was tested by Pearson correlation analysis, and convergent validity was evaluated by the Multiple Indicators Multiple Causes (MIMIC) model using 300 samples.

RESULTS

Theoretical model constructed included four elements: 'comprehensive understanding of the patient's condition', 'exchanging ideas on medication options', 'achieving a medication plan', and 'providing decision support'. Measurement constructed included four dimensions and 19 items, and four dimensions were in accordance with four elements of the theoretical model. We found median scores of these dimensions and items were 7-9 and without disagreement, indicating good content validity. Spearman correlation coefficients of 19 items were greater than 0.750, suggesting good interrater reliability. Pearson coefficients between 19 items and their external variables were significant ( < 0.001), and MIMIC model results showed that the values of dimensions 1-4 were over 0.5, indicating good single indicator validity and convergent validity.

CONCLUSIONS

Characteristics of web-based pharmaceutical care consultation, highlighting the importance of medication history, medication regimen, and detailed medication plan, were observed in the theoretical model. Measurement constructed had good reliability and validity and may be used by health policymakers to improve the quality of pharmaceutical care consultation online.

摘要

目的

我们旨在构建一个基于网络的药学服务咨询中共同决策(SDM)的理论模型和基于观察者的测量方法。

方法

我们首先通过对共同决策模型的分析以及对24名关键知情者的访谈构建了一个理论模型。然后,制定了初始测量方法,并仅由16名关键知情者对内容进行评估。开展了一项横断面研究,在在线平台“好医生网站”收集了300次医患交流案例,用于可靠性和有效性评估。内容效度通过适宜性评分进行评估,即7至9的中位数且无分歧。使用300个样本中的30个,通过Spearman相关系数评估评分者间信度。通过Pearson相关分析检验单一指标效度,并使用300个样本通过多指标多原因(MIMIC)模型评估收敛效度。

结果

构建的理论模型包括四个要素:“全面了解患者病情”、“就用药选择交流想法”、“达成用药计划”以及“提供决策支持”。构建的测量方法包括四个维度和19个条目,且四个维度与理论模型的四个要素一致。我们发现这些维度和条目的中位数分数为7至9且无分歧,表明内容效度良好。19个条目的Spearman相关系数大于0.750,表明评分者间信度良好。19个条目与其外部变量之间的Pearson系数具有显著性(<0.001),MIMIC模型结果显示维度1至4的值超过0.5,表明单一指标效度和收敛效度良好。

结论

在理论模型中观察到了基于网络的药学服务咨询的特点,突出了用药史、用药方案和详细用药计划的重要性。构建的测量方法具有良好的可靠性和有效性,卫生政策制定者可利用它来提高在线药学服务咨询的质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48da/8984866/51904058085d/10.1177_20552076221089794-fig1.jpg

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