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临床试验/NCT05552612
NCT05552612已完成不适用

Quality-of-life in Patients With Long COVID: Harnessing the Scale of Big Data to Quantify the Health and Economic Costs

London School of Hygiene and Tropical Medicine1 个研究点 分布在 1 个国家目标入组 7,574 人开始时间: 2022年9月26日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
7,574
试验地点
1
主要终点
Health-related quality of life

研究概览

简要总结

Background: Long COVID is estimated to affect 1.7 million people in the UK. One way of assessing the impact of long COVID is to measure quality-of-life through a standard questionnaire, which can then be used to understand the costs of long COVID to the NHS and wider economy. The impact of long COVID on these measures is not currently known. It is important to understand who is worst affected by long COVID and the cost to the National Health Service (NHS), so that strategies like booster vaccines can be prioritised to the right people.

Aim: OpenPROMPT aims to understand the impact of long COVID on quality-of-life in adults in English primary care.

Methods: We will ask people to participate in the study by downloading a smartphone app, and completing a series of questionnaires held within the app. Questionnaires will ask about quality of life, productivity and symptoms of long COVID. Participants will be asked to fill in the questionnaires once a month, for four months. Electronic reminders will be sent to participants to ask them to complete the questionnaires, which will take roughly 15 minutes to complete each month. Participants will also be asked to give consent for linkage of their questionnaire responses to their existing health records.

The results will tell us if long COVID has different quality-of-life and economic impacts among people of different ages, ethnicities, geographic regions, or because of any underlying health conditions. These results can be converted into standardised measurements used by the NHS to measure the impact of illnesses and the cost of long COVID to health services.

Impact: Together with other researchers studying long COVID, we will provide results to support long-term care, and make recommendations for prevention of long COVID in the future. At all stages we will ensure that the input of patients and the public is central to running the study and interpreting the outputs.

Funding: OpenPROMPT is a collaboration between the London School of Hygiene and Tropical Medicine, the OpenSAFELY patient data platform at the University of Oxford, and TPP (which supplies clinical software to General Practices (GPs) in the UK). The project is funded by the National Institute for Health Research.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

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

入选标准

  • Inclusion criteria are that the patient is aged 18 or over and can read and understand English, and can download and use the Airmid app.

排除标准

  • The following patients will be excluded:
  • Patients under 18 years old;
  • Patients who do not have a smartphone or cannot download or log in to the Airmid app;
  • Patients who cannot understand English.

结局指标

主要结局

Health-related quality of life

时间窗: day 0

Measured using the EQ-5D-5L score (EuroQoL score across 5 dimensions and 5 levels). EQ-5D-5L is measured on a scale between 0 and 1, where 0 is a state as bad as being dead, and 1 is full health.

次要结局

未报告次要终点

研究者

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

Emily Herrett

Co-Principal Investigator

London School of Hygiene and Tropical Medicine

研究点 (1)

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