Research and analysis

Increasing blood pressure checks in community pharmacy: cardiovascular disease impact

Published 9 May 2023

Applies to England

Background

High blood pressure (hypertension) is a condition that affects the blood vessels. It is the most important risk factor for cardiovascular disease, is responsible for around half of all heart attacks and strokes, and has an estimated annual cost to the NHS of over £2 billion. The Health Survey for England in 2019 reported that 28% of the adult population had hypertension, approximately 12.7 million people at that time.

Increasing blood pressure checks and hypertension detection

Following a successful pilot by NHS England in 2021, a hypertension case finding advanced service (which is an optional service a community pharmacy can choose to provide if they meet specific criteria) was introduced in community pharmacies in England in October 2021 to:

  • identify people aged 40 or over, or at the discretion of the pharmacist, people under 40, with high blood pressure and refer them to their GP to confirm diagnosis and for appropriate management
  • at the request of a GP, undertake ad hoc clinic and ambulatory blood pressure measurements (ABPM)
  • promote healthy behaviours to patients

The following analysis estimates the potential benefits of a policy to increase numbers of blood pressure checks in community pharmacies based on the assumption that an additional 2.5 million people would undergo a blood pressure check, a figure which is in line with the ambitions of the current policy proposal.

Results

Scenario 1: increasing hypertension detection to 70% in the first year (optimistic scenario)

Table 1 shows the potential number of cardiovascular disease (CVD) events avoided by increasing hypertension detection to 70%. CVD includes heart attacks, strokes, angina and heart failure. This is a very optimistic scenario where detection increases from 63% to 70% in the first year (see methodology).

Table 1: CVD events avoided with 70% hypertension detection in England (from baseline of 63%)

Outcome Year 1 Year 5 Year 10 Year 20
CVD events avoided 1,356 9,183 18,175 33,870
Heart attacks avoided 283 2,218 4,480 8,830
Strokes avoided 425 2,027 5,165 10,522
Primary care costs saved from CVD avoided (£000s) £1,059 £15,275 £44,373 £111,086
Secondary care costs saved from CVD avoided (£000s) £8,707 £67,089 £173,484 £388,646
Social care costs saved from CVD avoided (£000s) £3,436 £38,591 £122,439 £305,377
Premature mortality cases reduced (less than 75 years) 148 602 1,640 3,344
Life years gained 0 2,130 12,274 53,155
Quality-adjusted life years gained 135 4,797 20,389 70,370

Scenario 2: increasing hypertension detection to 68% after year 3 (more likely scenario)

Table 2 shows the CVD events avoided by increasing detection progressively from 63% to 68% after year 3. This is a more likely scenario that assumes that detection of hypertension would increase incrementally from baseline levels to year 3 at 68% (see methodology).

Table 2: CVD events avoided with 68% hypertension detection from year 3 in England (from baseline of 63%)

Outcome Year 1 Year 5 Year 10 Year 20
CVD events avoided 90 4,831 12,323 23,788
Heart attacks avoided 33 1,193 3,101 6,178
Strokes avoided 9 819 3,110 8,106
Primary care costs saved from CVD avoided (£000s) £67 £6,171 £25,506 £72,663
Secondary care costs saved from CVD avoided (£000s) £496 £28,851 £100,752 £258,035
Social care costs saved from CVD avoided (£000s) £69 £10,972 £58,068 £183,824
Premature mortality cases reduced (less than 75 years) 13 134 1,162 2,727
Life years gained 0 477 5,914 35,980
Quality-adjusted life years gained 6 1,411 10,321 46,025

Methodology

About the data

The results in tables 1 and 2 are calculated using the CVD prevention return on investment tool. This tool provides health benefits and costs from avoidance of CVD events compared to the cost of certain interventions, such as increasing the detection of hypertension in the community. This is referred to as return on investment (ROI). The CVD ROI tool is a population simulation model that finds and treats patients over 20 years and allows the user to specify a change in either or both the diagnosis levels or management levels of these patients (from current levels) to find the additional CVD burden and cost of any improvement.

Estimating CVD events avoided from increased blood pressure checks

We have assumed that 2 million of the 2.5 million people attending blood pressure checks would be opportunistic visits and not referred from a GP or other healthcare setting. It is assumed that none of the 2 million people would otherwise have been diagnosed with hypertension in other healthcare or non-healthcare settings.

We have assumed 2 plausible scenarios due to a policy of increasing blood pressure checks in community pharmacies. The first scenario (Table 1) assumes that hypertension detection in pharmacies could be as high as 10% in the first 5 years. We have assumed this scenario increases diagnosed hypertension in the population from the current baseline value in the CVD ROI tool of 63% to 70%.

The second scenario (Table 2) is considered a more likely scenario where hypertension detection in pharmacies could be as high as 6% after the first 5 years, but in the first 2 years it would only be 3%. We have assumed that in this scenario the proportion of diagnosed hypertension increases in the population incrementally from 63% to 64% in year 1 and 2 and to 68% from year 3 onwards.

Both scenarios assume that management of people diagnosed with hypertension will be the same for existing and newly detected patients .

The cost outputs from the ROI tool have been uplifted from the 2016 to 2017 costs in the CVD ROI tool to 2021 to 2022 costs using the March 2023 budget GDP deflator.

Caveats

These results are based on assumptions of detection of hypertension and a published ROI tool. The ROI tool was not based on empirical data from pharmacy blood pressure checks, so both scenarios are approximations based on hypothetical increases in detection rates of either 68% or 70% respectively from baseline levels. The tool does not allow the user to change the detection percentage in the population at every year, only the first 3 years, so estimating the effect of a changing percentage detection each year is not possible.

Contact information

For enquiries relating to the statistics or to offer feedback on the publication, contact Andrew Hughes: ncvin-ohid@dhsc.gov.uk.