Nuffield Department of Primary Care Health Sciences, NIHR School for Primary Care Research, University of Oxford, Radclife Observatory Quarter, Oxford.
UCL Medical School, University College London, Gower Street, London.
J Hypertens. 2018 Aug;36(8):1753-1761. doi: 10.1097/HJH.0000000000001738.
Self-management of hypertension can reduce and control blood pressure (BP) compared with clinic monitoring. However, self-management relies on patients following an algorithm, which may be variably adhered to. This study reports fidelity of high-risk patients to the self-management algorithm set by the TASMIN-SR trial.
Patients with hypertension, above target clinic BP and one or more of stroke, diabetes, coronary heart disease or chronic kidney disease, were invited to self-monitor following an individualized self-titration algorithm. Home BP readings and medication change details were submitted monthly for 12 months. Readings downloaded from patients' electronic monitors were compared with written submissions, and protocol fidelity was assessed.
Two hundred and seventy-six patients were randomized to self-management and 225 (82%) completed the required training sessions. Of these, 166 (74%) completed self-management. A total of 11385 (89.6%) submitted readings were accurate compared with corresponding downloaded monitor readings. Mean error rate was 5.2% per patient, which increased with age but not comorbidities. Patients made 475 of 683 (69.5%) algorithm-recommended medication changes, equating to nearly three medication changes per patient. Mean SBP for patients who completed training and made all recommended changes dropped from 141 mmHg (95% CI 138.26-144.46) to 121 mmHg (95% CI 118.30-124.17 mmHg) compared with 129 mmHg (95% CI 125.27-136.73 mmHg) for patients who made none.
Most patients randomized to self-management completed training; however, 36% of these had dropped out by 12 months. Self-monitoring was largely undertaken properly and accurately recorded. Fidelity with self-management was associated with lower achieved SBP. Successful implementation of self-management into daily practice requires careful training and should be accompanied by monitoring of fidelity.
与诊所监测相比,高血压的自我管理可以降低和控制血压(BP)。然而,自我管理依赖于患者遵循算法,而患者对算法的遵守程度可能存在差异。本研究报告了 TASMIN-SR 试验中设定的自我管理算法对高危患者的遵从性。
邀请高血压患者(诊所血压高于目标值,且患有中风、糖尿病、冠心病或慢性肾脏病中的一种或多种疾病)按照个体化自我滴定算法进行自我监测。患者每月提交一次家庭血压读数和药物调整详情,共 12 个月。从患者电子监测器下载的读数与书面报告进行比较,并评估方案遵从性。
276 名患者被随机分配到自我管理组,其中 225 名(82%)完成了所需的培训课程。在这些患者中,166 名(74%)完成了自我管理。与相应下载的监测器读数相比,11385 次(89.6%)提交的读数是准确的。每位患者的平均误差率为 5.2%,该误差率随年龄增加而增加,但与合并症无关。患者共进行了 475 次(69.5%)算法推荐的药物调整,相当于每位患者进行近 3 次药物调整。完成培训并进行了所有推荐调整的患者的平均收缩压从 141mmHg(95%CI 138.26-144.46)降至 121mmHg(95%CI 118.30-124.17mmHg),而未进行任何调整的患者的平均收缩压为 129mmHg(95%CI 125.27-136.73mmHg)。
大多数被随机分配到自我管理的患者完成了培训;然而,其中 36%的患者在 12 个月时已经退出。自我监测主要是正确进行的,并且准确记录。自我管理的遵从性与实现的收缩压降低相关。成功将自我管理纳入日常实践需要仔细培训,并应伴随对遵从性的监测。