目的 探讨家庭药师与药物治疗管理对签约患者用药依从性及不合理用药干预效果。方法 选取2017年3月—2021年3月我院收治的慢性病患者100例作为前瞻性研究对象,按照随机余数法分为对照组和研究组各50例。其中,对照组实施首次随访调查,收集患者健康信息建立用药档案,末次随访评价。研究组采用收集患者健康信息,建立用药档案,填写调查表,对在用的药物治疗方案进行评价,家庭药师与家庭医生协作共同干预或直接干预,制定具体的解决方案,帮助患者达到治疗目标。比较2组患者干预前后的药物依从性、生活质量及用药情况的变化。结果 干预前,2组患者的药物依从性评分比较无统计学意义(P ＞0.05),干预后,2组患者药物依从性评分比较随时间增加而改善,而研究组的药物依从性评分显著高于对照组,统计学显示差异有统计学意义(P＜0.05)。2组患者的选择合理、给药频率合理、滴定合理、换药合理、联合用药合理均有明显改善且研究组多于对照组,比较差异有统计学意义(P＜0.05)。结论 家庭药师及药物治疗管理干预能够有效提高患者用药依从性及生活质量,改善用药情况,对慢性病患者干预具有一定参考价值。

Objective To explore intervention the effect of family pharmacist and medication management on medication compliance and unreasonable drug use in contracted patients. Methods A total of 100 patients with chronic diseases from March 2017 to March 2021 in our hospital were selected as prospective study subjects. According to the random remainder method,they were divided into control group and research group with 50 cases in each group. Among them,the control group was surveyed in the first followed-up,and the health information of patients was collected to establish drug use files,and evaluation was performed in the final follow-up. Family pharmacists and family physicians intervened together or directly to formulate specific solutions to help patients achieve the treatment goals and explain the treatment goals. The changes of medication compliance,quality of life and drug use before and after intervention were compared between the two groups. Results Before the intervention,the medication compliance scores of the two groups were not significantly different (P>0.05).After the intervention,the medication compliance scores of the two groups improved with time,while the medication compliance scores of the research group were significantly higher than the control group,statistics analysis showed that the difference was significant (P<0.05).The reasonable selection,the reasonable frequency,the reasonable titration,the reasonable drug change,and the reasonable combined medication in research group were significantly more than the control group,and the differences were statistically significant (P<0.05).Conclusions Family pharmacist and medication management intervention could effectively improve medication compliance and quality of life of patients,improve drug use,had a certain reference value for chronic disease patients.

目的 探讨影响老年患者用药依从性的原因及对策。方法 随机抽取我院区门诊就诊的老年患者进行问卷调查,了解其用药依从性及影响依从性原因,根据调查结果结合临床分析,实施相应的干预措施,评价实施对策前后患者用药依从性及影响依从性的原因。结果 实施干预措施后老年患者用药依从率从60.06%上升至84.39%,P＜0.05,差异有统计学意义。结论 通过对老年患者加强医药知识教育及医患沟通;简化用药方案;医院、社区、家庭给予支持等措施可提高老年患者用药依从性。

目的 探讨开展药学服务干预对中老年COPD患者用药时间以及剂量的准确性的影响。方法 选取100名中医科门诊中老年COPD患者,随机分为干预组与对照组,干预组开展参与中医药治疗方案的确立、用药的衡量以及对患者进行用药指导、疾病健康宣教、定期随访等药学服务。对照组不作相关的药学服务干预。结果 干预组服药时间依从性(97.89±1.11)%,剂量准确率(99.95±0.05)%,干预组患者用药依从性比对照组有提高;平均疗程(11.12±2.1)天,比对照组缩短,差异有统计学意义(P<0.05)。结论 药师通过药学服务提高了中老年COPD患者的用药依从性及准确性,从而缩短疗程,值得推广。

Objective To investigate the time of drug use and dose accuracy in middle aged and elderly patients with COPD to develop pharmaceutical care intervention. Methods 100 middle aged and elderly patients with COPD were selected from the department of traditional Chinese medicine, randomly divided into intervention group and control group, the intervention group was developed pharmaceutical care including taking part in setting of therapeutic schedule, pharmaceutical measurement and guide of drug use in patients, health education, regular visit etc. The control group did not have pharmaceutical care intervention. Results The time of taking medicine compliance was (97.89±1.11)% and dose accuracy was(99.95±0.05)% in the intervention group. The intervention group had significantly improved compared with the control group. The course of treatment was(11.12±2.1)days. The average course of treatment was shorter than the control group. The difference was statistically significant (P<0.05). Conclusion Medication compliance of middle aged and elderly patients with COPD is higher by pharmaceutical care from the pharmacists. The course of treatment is shortened. It is worth using widely.

目的 探讨延续性护理干预对癌痛患者服药依从性及疼痛治疗效果的影响。方法 选取105例住院治疗的中度至重度癌痛患者,均需服用阿片类药物止痛治疗,单日出院的患者(48例)设为对照组,双日出院的患者(57例)设为干预组。对照组在出院前由责任护士给予常规的用药指导;实验组则在此基础上,于出院后提供延续性护理干预,对患者每周进行电话回访1次,每个出院患者至少回访4次,比较两组患者出院4周后服药依从性及疼痛治疗效果的差异。结果 实验组服药依从性、疼痛治疗效果高于对照组(P＜0.05)。结论 延续性护理干预能提高出院癌痛患者服药依从性及疼痛治疗效果,改善患者的生存质量。

Objective To investigate the impact of continuing nursing on the medication compliance and effect of pain treatment in patients with cancer pain. Methods 105 cases of hospitalized patients with medium to severe cancer pain were selected,need to take opioid analgesic therapy,they were divided into the control group who were single-day discharged(n=48)and intervention group who were double-day discharged(n=57),when discharged,the control group was received conventional health education of medication by the specialized nurses;on this basis,the experimental group was received continuing nursing after discharge,the patients had a return visit by telephone once a week,each patient were visited 4 times at least. After 4 weeks,the medication compliance and effect of pain treatment in the two groups were compared. Results In the experimental group,the medication compliance of patients and effect of pain treatment were significantly higher than those of the control group(P＜0.05). Conclusion The continuing nursing intervention can significantly improve the medication compliance and effect of pain treatment for discharged patients with cancer pain,and improve the quality of life.

目的 通过建立急性心力衰竭（AHF）患者服药依从性预测模型,提高AHF患者的服药依从性和临床管理效果。方法 纳入2021年1月—2023年12月在广州市番禺区何贤纪念医院住院治疗的580例AHF患者,通过收集患者的一般人口学资料、疾病相关资料及出院后6个月的服药依从性数据,应用Logistic回归模型分析患者服药依从性的影响因素,并基于影响因素建立预测模型。结果 患者服药依从性总体良好（75%）。依从性良好组与依从性差组的年龄、独居情况、合并基础病、服药种类、疾病了解评分、治疗信心评分和自我控制信心评分比较差异有统计学意义（P<0.05）。Logistic 回归分析显示危险因素包括年龄≥60岁（OR=1.774）、独居（OR=1.871）、合并基础病≥2种（OR=1.719）和服药种类≥7种（OR=1.456）。而疾病了解评分（OR=0.923）、治疗信心评分（OR=0.946）和自我控制信心评分（OR=0.901）是保护因素（P<0.05）。基于上述因素建立的预测模型,通过ROC曲线验证,曲线下面积为0.815（95%CI：0.780~0.850）,提示所构建的模型具有良好的区分度。对该模型的校准度进行评价,P=0.528,提示该预测模型拟合度良好。此外,该预测模型的一致性指数为0.738,说明模型的预测性能良好。绘制的决策曲线中,曲线位于极端线之上,当阈概率取值在9%~59%时,对应的净获益率为0~27%,提示建立的模型具有优秀的临床有效性。结论 AHF患者的服药依从性受到多种因素的影响,包括年龄、居住状态、合并基础病种类及服药种类等。

Objective To establish a predictive model for medication compliance among acute heart failure（AHF）patients in order to enhance their therapeutic compliance and optimize clinical outcomes. Methods A total of 580 AHF inpatients at He Xian Memorial Hospital in Panyu District, Guangzhou between January 2021 and December 2023 were enrolled. Demographic information, disease-specific data,as well as post-discharge medication compliance records within six-month were collected by investigators. Utilizing logistic regression analysis revealed several influential determinants affecting medication compliance which formed the basis for constructing our predictive model. Results Generally,patient compliance was good（75%）. The comparison between the good compliance group and the poor compliance group showed that there were significant differences in age, living alone,combined with underlying diseases, types of medication, disease understanding score, treatment confidence score and self-control confidence score（P<0. 05）. Logistic regression analysis showed that independent risk indicators including individuals aged ≥60 years（odds ratio[OR]=1. 774）, those living alone（OR=1. 871）, presence of two or more underlying diseases（OR=1. 719）, along with consumption of seven or more medications daily（OR=1. 456）. Conversely,disease awareness score（OR=0. 923）, treatment confidence score（OR=0. 946）, and self-control confidence score（OR=0. 901）were identified as independent protective factors. Validation using receiver operating characteristic curves demonstrated robust predictive performance with an area under curve value of 0. 815（95%CI：0. 780-0. 850）, affirming its efficacy. The calibration of the model was evaluated, with a P-value of 0. 528, indicating good fit of the predictive model. Additionally, the concordance index（C-index）of the model was 0. 738, suggesting its excellent predictive performance. The decision curve analysis revealed that the curve was above the extreme lines, with a net benefit rate ranging from 0 to 27% when the threshold probability falls between. Conclusions The medication compliance of AHF patients is influenced by various factors, including age, living arrangement, the number of underlying diseases, and the number of medications taken. Targeted interventions such as enhancing patient education, simplifying treatment regimens, and improving social support can effectively improve the medication compliance of AHF patients. The predictive model established in this study provides a scientific basis for clinicians to develop more precise and effective individualized intervention measures,thereby improving the prognosis and quality of life.