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临床试验/NCT06614049
NCT06614049招募中不适用

AdLip: Use of Human Coach-supported Digital/AI Personal Health Assistant to Improve Adherence to Lipid-Lowering Medications: a Multi-centre Randomised Controlled Trial

National University of Singapore4 个研究点 分布在 1 个国家目标入组 450 人开始时间: 2024年6月10日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
450
试验地点
4
主要终点
Evaluate effectiveness of adherence to lipid-lowering medication

研究概览

简要总结

Investigators hypothesize that the use of a human coach-supported digital/AI personal health assistant (app) will improve adherence to cholesterol-lowering medications (statins with or without ezetimibe) among patients with hyperlipidaemia and suboptimal LDL-C control, when compared to standard care.

详细描述

Hyperlipidemia remains as one of the three leading metabolic risk factors underlying AMI onset by 2050. In recent study 3 Asian ethnicities with AMI, the incidence of hyperlipidemia is projected to increase by 205% (341 to 1041 per 100,000 population) from 2025 to 2050. A combination of lifestyle modifications and lipid-lowering therapy is typically recommended for individuals with high LDL-C levels to reduce the risk of CVD. The World Health Organization (WHO) defines adherence as "the extent to which the person's behaviour (including medication-taking) corresponds with agreed recommendations from a healthcare provider"

Poor medication adherence portends poorer health outcomes. In Singapore, around 60% of adults not taking their medications as prescribed (as above) and this creates a considerable economic and clinical burden to individuals and health systems.

The use of digital technology in medication adherence has continued to grow as more healthcare providers and patients recognise its benefits in improving adherence and overall health outcome. Digital interventions have effectively helped patients manage their medication by reminding patients to take their medications on time and providing them with more information about their medications and treatment plan. In the busy world today, the provision of appropriately timed and that perceived to be important would be key to effectively convince intentionally non-adherent patients to take their medicines as prescribed.

This study is a multicentre, open-label, two-arm parallel randomized controlled trial. We intent to randomly assign patients with hyperlipidaemia into one of the two groups: human coach-supported Digital/AI Personal Health Assistant app (intervention group) and standard care (control group) with a 1:1 allocation ratio. The intervention group will receive personalised feedback through the app coupled with human coaching on top of usual clinical care for cholesterol management. The control group will receive usual standard of care for lipid management but will not receive the personalised app nor have access to health coaching.

Participants with hyperlipidaemia (n=376) will be enrolled in polyclinics, and key inclusion criteria are participants who are non-adherent to statins "Extent to Non-adherence" sub-scale of the DOSE Non-Adherence Measure), with a score > 1 (range from 0-15) with or without on ezetimibe and have LDL-C level above the recommended target levels stratified by risk category. Participants will be followed up at Visit 2 @Month 3, Visit 3 @ Month 6 and Visit 4 @ Month 12 while pill counts will be collected @3m, 6m, and 12m visits. As part of Standard-of-Care, clinical pharmacist will follow-up with patients, titrating lipid-lowering medication (such as statin, ezetimibe etc) as required, and review and take action clinical blood test results.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Other
盲法
None

入排标准

年龄范围
21 Years 至 84 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Between 21 to 84 years old
  • Prescribed statins with or without ezetimibe for hyperlipidaemia.
  • Medication non-adherence as defined by the "Extent to Non-adherence" sub-scale of the DOSE Non-Adherence Measure), with a score > 1 (range from 0-15)
  • Singapore residents (citizens, permanent residents, or long-term pass holders).
  • In possession of a smartphone or tablet with Android or iOS operating systems.
  • Have internet access on their mobile devices.

排除标准

  • Does not read or understand English. Current use of smartphone medication adherence app(s) that include statins.
  • Concurrent use of PCSK9 Inhibitors in addition to statins and/or ezetimibe
  • Participation in another study that uses medications that could affect lipid levels
  • Severe renal impairment defined as chronic kidney disease stage 4 and above.
  • Severe liver disease (Child-Pugh Class C)
  • Existing muscular-related complaints or diagnoses which may confound adverse event reporting
  • Uncorrected thyroid conditions, especially poorly-controlled hypothyroidism
  • Documented psychiatric diagnosis or history of mental illness or deemed as unable to give informed consent.
  • Currently pregnant, breastfeeding or expecting to get pregnant during the course of the study (1 year).
  • Guarded prognosis with expectant mortality within 12 months or less.

结局指标

主要结局

Evaluate effectiveness of adherence to lipid-lowering medication

时间窗: 6 and 12 months

Evaluate effectiveness of adherence to lipid-lowering medication through the use of pill counts

次要结局

  • Blood LDL-cholesterol levels(6 and 12 months)
  • Cardiovascular Risk score(6 and 12 months)
  • Changes in health motivation and attitudes(6 and 12 months)
  • Changes in self-care efficacy(6 and 12 months)
  • Changes in self-care behaviours(6 and 12 months)
  • Safety of a new model of care(6 and 12 months)
  • Changes in quality of life(6 and 12 months)
  • Acceptability of a new model of care(6 and 12 months)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Tan Su-Yin Doreen

Associate Professor

National University of Singapore

研究点 (4)

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