Optimizing osteoporosis treatment outcomes: shared-decision making and adherence support program

Optimizing osteoporosis treatment outcomes: shared-decision making and adherence support program 2024年4月18日 - DataverseNL Harvested Dataverse Boonen, A.; Hiligsmann, M, 2024, "Optimizing osteoporosis treatment outcomes: shared-decision making and adherence support program", https://doi.org/10.34894/TUIMRF The quantitative data form in this data-set are derived from a semi-experimental study. The primary objective was: Primary endpoint (1) To assess the effect of the multi-component adherence intervention (MCAI) compared to care as usual on medication persistence (measured by pharm...《优化骨质疏松症（osteoporosis）治疗结局：共享决策（shared-decision making）与依从性支持计划（adherence support program）》，2024年4月18日采集自DataverseNL数据集；作者为Boonen, A.与Hiligsmann, M，2024年发布，数据集DOI链接：https://doi.org/10.34894/TUIMRF。本数据集的定量数据源自一项半实验研究，其主要研究目标为：主要终点(1) 评估多组分依从性干预（multi-component adherence intervention, MCAI）相较于常规护理（care as usual）对用药持续性（medication persistence）的影响（该指标通过pharm... 测量）