Collecting data to demonstrate the impact of your physical activity interventions is important for long term sustainability and to secure funding.
We have designed a Data Collection Tool to help you with this, and our vision is that we can pool resources and share data to demonstrate impact across the NHS in line with General Data Protection Regulations (GDPR).
Email us at email@example.com to get your copy of the data collection tool
The patient data collection tool includes patient demographics, a record of interventions used and two outcome measures; Exercise Vital Sign (EVS) and EQ-5D-5L. The outcome measure can be recorded at baseline and at follow-up assessments.
Exercise Vital Sign
The EVS was selected for the Active Hospitals toolkit as it is a simple and quick way of assessing an individual’s physical activity level. It consists of two questions:
- On average, how many days per week do you engage in moderate to strenuous exercise (like a brisk walk?
- On average, how many minutes do you engage in exercise at this level?
The two self-reported responses are then multiplied to give a total minutes per week of moderate or strenuous exercise.
The EVS has been validated in a cohort of over 1.5 million people in the USA, is comparable to other population-based self-reported measures of physical activity [1,2] and is in use worldwide.
An EVS calculator is embedded within the Patient Data Collection Tool.
EQ-5D is a generic patient-reported outcome measure (PROM) designed to provide evidence on a patients’ health-related quality of life. It was selected for the patient data collection tool as, internationally, it is the most widely used generic PROM . Additionally, it has been shown to be valid and reliable in many disease areas [5,6] and is being increasingly used in clinical settings within the NHS, clinical trials and in UK population health surveys .
The EQ-5D-5L is the latest version of the EQ-5D and asks patient to indicate a response (level) from 5 options (no, slight, moderate, severe or extreme problems) across 5 dimensions (mobility, self-care, usual activities, pain / discomfort and anxiety / depression).
- Sallis R, Franklin B, Joy L, et al. Strategies for promoting physical activity in clinical practice. Prog Cardiovasc Dis 2015;57:375–86.
- Coleman KJ, Ngor E, Reynolds K, et al. Initial Validation of an Exercise ‘Vital Sign’ in Electronic Medical Records. Med Sci Sport Exerc 2012;44:2071–6
- Golightly YM, Allen KD, Ambrose KR, et al. Physical Activity as a Vital Sign: A Systematic Review. Prev Chronic Dis 2017;14:E123.
- Devlin, N., & Brooks, R. (2017). EQ‐5D and the EuroQol group: Past, present, future. Applied Health Economics and Health Policy, 15(2), 127–137.
- Pickard, A. S., Wilke, C. T., Lin, H. W.,&Lloyd, A. (2007). Health utilities using theEQ‐5D in studies of cancer. PharmacoEconomics, 25, 365–384.
- Janssen, M. F., Lubetkin, E. I., Sekhobo, J. P., & Pickard, A. S. (2011). The use of the EQ‐5D preference‐based health status measure in adults with type 2 diabetes mellitus. Diabetes Medicine, 28, 395–413.
- Devlin NJ, Shah KK, Feng Y, Mulhern B, van Hout B. Valuing health‐related quality of life: An EQ‐5D‐5L value set for England. Health Economics. 2017;1–16.