Edinburgh Research Explorer The NHS Health Check in England

To describe implementation disadvantaged 14.9%, was higher than that of the more affluent 12.3%. Among attendees 7844 new cases of hypertension (38/1000 Checks), 1934 new cases of type 2 diabetes (9/1000 Checks) and 807 new cases of chronic kidney disease (4/1000 Checks) were identified. Of the 27 624 people found to be at high CVD risk (20% or more 10-year risk) when attending an NHS Health Check, 19.3% (5325) were newly prescribed statins and 8.8% (2438) were newly prescribed antihypertensive therapy. Conclusions: NHS Health Check coverage was lower than expected but showed year-on-year improvement. Newly identified comorbidities were an important feature of the NHS Health Checks. Statin treatment at national scale for 1 in 5 attendees at highest CVD risk is likely to have contributed to important reductions in their CVD events.


INTRODUCTION
The English National Health Service (NHS) Health Checks programme started in 2009, aiming to reduce cardiovascular disease (CVD) risks and events. Internationally, it is the first of its kind, aiming to provide a routine structured clinical assessment and management for adults aged 40-74 years without pre-existing diabetes or CVD. The NHS Health Check includes review of CVD risks, behavioural change support and treatment of newly identified risk factors or comorbidity through integration with routine clinical provision in general practice. We describe an evaluation of the first 4 years of this national programme.
The NHS Health Check is a 5-year rolling programme which targets one-fifth of the eligible population each year, aiming to invite 3 million people at an annual cost of £165 million. [1][2][3] The Department of Health report that 2.4 million NHS Health Checks were undertaken in the 2 years (2011-2012). 4 Nationally, uptake is reported at around 50% of the eligible target population with considerable variability between provider organisations. 4- 6 The NHS Health Check programme is now supported by NHS England and Public Health England following major changes in the NHS in 2013 when Primary Care Trusts (PCTs) were replaced by Clinical and 99% socioeconomic group recorded. In attendees, recording of ethnic group and major risk factors was over 90%. ▪ Non-attendees were younger, more likely to smoke and recording of cardiovascular risk was less complete. ▪ There is no information available about attendance for support for behavioural change following general practitioner (GP) referral.
Commissioning Groups (CCGs) and responsibility for commissioning the programme was transferred to the Local Authorities. 7 8 Stratification of CVD risk for the purposes of therapeutic intervention is a key component of the NHS Health Check. Attendees receive personal advice to support behaviour change and treatment informed by CVD risk stratification. When the programme was introduced, National Institute for Health and Care Excellence (NICE) guidance and the NHS Health Check programme, 9 10 recommended statin treatment at a 10-year CVD risk of 20% or more and antihypertensive treatment with blood pressure sustained at 140/ 90 mm Hg or more. Comorbidities, including diabetes and chronic kidney disease (CKD), are identified through blood testing in the high CVD risk group with appropriate management. Familial propensity to premature ischaemic heart disease is also identified.
There is robust trial and observational evidence of benefit from statins and antihypertensives in high-risk people with and without established CVD. [11][12][13][14][15][16] In people at higher CVD risk, primary prevention of CVD using multiple risk factor intervention including treatment with statins and antihypertensives has been shown to be of benefit. 17 However, this has not been demonstrated in entire populations including people at lower CVD risk. For people at lower CVD risk (ie, a 10-year risk of <10%) for whom behavioural change is the main intervention, the most effective prevention strategy remains unclear. 16 Primary prevention based on assessment of cardiovascular risk is a topic of international interest and debate. [18][19][20] The study was commissioned by the Department of Health to provide an early view of implementation of the national programme. This study describes the results from the first 4 years of the NHS Health Check programme, the population coverage and characteristics of those who attended, their recorded CVD risks, new comorbidity and treatment. Available information on non-attendees is also reported.

METHODS
The study plan and this report conform to the STROBE recommendations for observational studies. 21 QResearch is a large, nationally representative and validated primary care electronic database containing the health records of 13 million patients registered from 655 general practices using the Egton Medical Information System (EMIS) computer system for at least a year.
For the 4 years (1 April 2009 to 31 March 2013), we included in the study all eligible adults aged 40-74 years if they had been registered for at least a year. We excluded people ineligible for an NHS Health Check, defined by the Department of Health as people with pre-existing vascular disease including hypertension, ischaemic heart disease, stroke or transient ischaemic attack, atrial fibrillation, heart failure, peripheral arterial disease, CKD, familial hypercholesterolaemia, diabetes and those already on statins. 22 Read codes are used to code clinical data in primary care. NHS Health Check attendance was identified by Read codes for CVD risk assessment or NHS Health Check completed. We were unable to distinguish NHS Health Checks conducted in general practice from those conducted by a third party such as a community pharmacy. For people with an NHS Health Check, we used the date of the Check as the index date for analysis. For those without an NHS Check during the study period, we allocated an index date of 1 April in each year. The NHS Health Check is a rolling 5-year programme, and the total eligible population each year was divided by five to estimate the number eligible in any 1 year. Coverage was defined as the number of attendees in the year, as a proportion of one-fifth of the population eligible in that year.
The total eligible population and people who attended an NHS Health Check were described according to sex, age group (40-49, 50-59, 60-74) and ethnic group. Ethnic groups were combined into Office of National Statistics categories: white (British, Irish, other Caucasian); South Asian (Bangladeshi, Indian, Pakistani); black African; black Caribbean; Chinese; other Asian; other (any other recorded ethnic group including mixed ethnic groups) and ethnic group not recorded. 23 Deprivation was assessed using the Townsend score based on 2001 census-derived measures of overcrowding, car ownership and education available at lower super output area. 24 This was obtained by linking the individuals' postcode to lower super output area (approximately 150 households). Townsend score was accessible for 99% of patients. We grouped individuals into fifths of deprivation, with quintile 1 indicating least deprived and quintile 5 most deprived.
Information on smoking status, alcohol intake and risk factor recording was described for attendees and nonattendees. This included the latest information recorded up to and including the date of the NHS Health Check for attendees or the index date for non-attendees. Family history of ischaemic heart disease was coded as positive if a first-degree relative had angina or a heart attack under age 60 years. Information on alcohol consumption was categorised by units consumed per day (non-drinker, <1, 1-2, 3-6, 7-9, >9+) although it was not nationally part of the NHS Health Check during the study period. Information was also extracted on whether a recorded CVD risk score was estimated by either Framingham or QRisk2 using the same time frame as specified above. Where a score was recorded we used it to identify people at high CVD risk, defined as a 10-year CVD risk of 20% or more.
In people who attended a Health Check, information was extracted on medications, new morbidities, risk factor recording and referrals on the date of the check or in the following 12 months. The equivalent information was extracted for non-attendees for the 12 months from their index date. New medication was defined as at least two statin or antihypertensive prescriptions within 12 months. New comorbidities, including diagnosed hypertension, CKD categories 3-5 and diabetes, were included if newly recorded within 12 months of an NHS Health Check. Abnormal measurements were not classified as a diagnosis unless a diagnostic code was recorded. For example, a raised blood pressure was not classified as hypertension unless the diagnostic code for hypertension was recorded.
The data were analysed using STATA V.13 (STATA Corps). We calculated proportions of people who attended by categories of age, sex and ethnic group. We calculated proportions according to levels of smoking status, alcohol intake and risk factors in those who did and did not attend an NHS Health check. We also described CVD risk levels and outcomes in attendees following the NHS Health Check. We did not carry out statistical comparisons of NHS Health Check attendees with non-attendees, as data were incomplete in the latter.

RESULTS
Over the 4-year study period (1 April 2009-31 March 2013) 1 679 024 people were eligible for an NHS Health Check. Of these, 12.8% (214 295) patients were recorded as having had an NHS Health Check (see figure 1).
One-fifth of the eligible population was considered available for attendance each year. Table 1 Table 3 shows information on risk factor recording and CVD risk score recording among attendees and non-attendees prior to or at the NHS Health Check or the equivalent index date for non-attendees. Smoking status was recorded in 99.9% of attendees and 94.5% of  Recording of new comorbid conditions in the year after an NHS Check was higher in people attending NHS Health Checks than recording in the year after the index date in non-attendees. However, in non-attendees, missing data are a major issue which precludes simple direct comparison between attendees and nonattendees. Risk factors requiring further follow-up were recorded in more than one in five attendees. Raised blood pressure (≥140/90 mm Hg; but not recorded as a diagnosis of hypertension) was identified in 18.5% (26 126/140 995), obesity (body mass index (BMI) ≥30 kg/m 2 ) in 15.0% (32 133/151 480) and raised fasting blood sugar (but not recorded as a diagnosis of diabetes) in 2.7% (954/35 801).
In total, 33.9% of heavy and very heavy alcohol drinkers (1823/5376) were referred for further advice, and   Table 5 shows the characteristics of those at high CVD risk (≥20% risk) who attended for an NHS Health Check. In total, 12.9% (27 624/214 295) attendees were

REFERRALS TO BEHAVIOURAL SUPPORT
Online supplementary appendix table shows referrals for behavioural interventions in people at high CVD risk. Using data from tables 3 and 4, it can be shown that most referrals took place in people at lower CVD risk (<20% over 10 years). Of those people with behaviourally mediated risk factors recorded-smoking, obesity and high alcohol consumption-who were referred for further support during an NHS Health Check, 80.0% were not in the high CVD risk group. Of the smoking cessation referrals made in smokers, 17.1% (439/2571) were in smokers at high CVD risk and 82.9% were in people at lower risk. Of the dietary referrals made in people with BMI ≥30 kg/m 2 , 13.6% (1691/12 430) were in people at high CVD risk and 86.4% were in people at lower risk. Similarly of the referrals for physical activity, 13.4% (1780/13 309) were in people at high CVD risk and 86.6% were in people at lower risk. Of the total referrals for alcohol reduction support for heavy or very heavy drinkers, 16.5% (300/1823) were in people at high CVD risk and 83.5% were in people at lower risk.
In total, 5.7% (1139/7743) of smokers at high CVD risk were referred to accredited level 2 or 3 smoking cessation services. In people at high CVD risk with BMI ≥30 kg/m 2 , 40.0% (1691/4222) were referred to dietary and 42.2% (1780/4222) to physical activity support services, and 33.1% (300/905) of those at high CVD risk recorded as drinking seven or more units of alcohol per day were referred to alcohol reduction services. These proportions of people at high CVD risk referred to smoking cessation, dietary, physical activity and alcohol services were very similar to the proportions of all attendees (tables 3 and 4) who were referred, of whom 6.8% (2571/37 808) of smokers were referred to smoking cessation, 38.7% (12 430/32 133) of BMI ≥30 to dietary and 41.4% (13 309/32 133) of BMI ≥30 to physical activity support services, and 35.7% (1823/5101) of heavy drinkers were referred to alcohol reduction services.

DISCUSSION
This is the first study to describe national results from the NHS Health Check programme. In 2012, the most recent year reported, 30.1% of the eligible population attended. Attendance was more likely over age 65 years 19.6% than in those under 65 years (9.0%) and among those people in the most deprived quintile (14.9%) versus the least deprived (12.3%). In total, 12.9% of all attendees were recorded at high CVD risk (20% or more 10-year risk). There were differences in attendance between ethnic groups, though these could be due to missing data. Attendance in white people was similar to those with non-white ethnic group recorded.
New comorbidity identified in the 4-year period included 7844 new cases of hypertension (1 case per 27 NHS Health Checks), 1934 new cases of diabetes (1 new case for every 110 Checks) and 807 new cases of CKD (1 new case in every 265 Checks). Records of risk factors were more incomplete in non-attendees who had a different CVD risk profile to those who attended. Non-attendees were younger and more likely to be smokers than attendees. Because of differences in the characteristics and recording of risk factors between attendees and non-attendees, we have not made formal statistical comparisons of new morbidity between these groups.
In addition to those people with new comorbidities diagnosed, risk factors such as raised blood pressure, raised blood sugar and obesity requiring further follow-up were recorded in more than one in five of attendees. Most referrals for behavioural interventions took place in people at lower CVD risk. Of those people with behaviourally mediated risk factors recordedsmoking, obesity and alcohol consumption-who were referred for further support during an NHS Health Check, 80% were not in the high CVD risk group. The proportion of people in the high CVD risk group referred because of risk factors was similar to the proportion referred among all attendees.
One in 20 attendances resulted in recurrent statin prescription and 1 in 25 attendances resulted in recurrent antihypertensive prescription. Of those NHS Health Check attendees at high CVD risk, 19.3% were prescribed recurrent statins and 8.8% were prescribed recurrent antihypertensive therapy. This is a large and nationally representative study including records of social deprivation and ethnicity. Coverage of 30% was lower than expected, though attendance quadrupled during the course of the study reflecting the early phase of implementation. There was no evidence that older people, or those in the more deprived quintile were less likely to attend than other groups. South Asians who have higher CVD risks were more likely to attend than other ethnic groups. Though missing data might account for this, similar differences have been found in other studies. 25 Currently attendance at NHS Health Checks is reported as uptake in response to invitation rather than coverage, defined as attendance as a proportion of the eligible population as reported in this paper. 4 The NHS Health Check programme is an example of systematic implementation at national scale, of a stratified approach to advice and effective treatment in people at increased CVD risk. QRisk2 was used in 80% of NHS Checks reported in this study and is fully integrated with the EMIS computer systems used by general practitioners in this study and has since been recommended as the risk algorithm of choice in the 2014 NICE guidance; 26 an example of successful translation of clinical decision support at scale. 27 28 This algorithm is fully integrated with the electronic primary care record, a key enabling factor for implementation. 29

LIMITATIONS OF THE STUDY
There is no nationally available data on the extent of provision of the NHS Health Check outside of general practices. However, these were likely to represent less than 10% of NHS Health Checks undertaken, as in most PCTs the NHS Health Check was conducted almost entirely in general practice with limited use of community programmes targeting hard-to-reach groups or, with the exception of a few areas, community pharmacies. Completeness of NHS Health Checks was not ascertained, but taking measurement of cholesterol recording of 91.5% as a proxy measure, risk ascertainment was generally well conducted.
Of the people referred with behavioural risk factors, 80% were at lower CVD risk, which indicates the wide distribution of risk factors and the potential for behaviour change if programmes can be shown to be effective. Like other recent studies, referral rates were generally low, 30 and little is known about attendance at, or quality of behavioural programmes even for those at higher CVD risk. Lack of consistent coding of referrals in earlier years of the NHS Health Check programme and the availability of local services for behavioural change may have contributed to low referral rates. The impact of the NHS Health Check programme on people at lower risk is unknown and further research is required. 31 The study is descriptive and was not designed to determine variability between practices or CCGs. The study has not assessed changes in risk factors or cardiovascular events between comparable groups. These comparisons are difficult in a non-randomised study, especially if one group is at higher risk than the other or information is incomplete. For these reasons, we have not directly compared attendees with non-attendees. Communication of results and patient behaviours following NHS Health Checks remains an under-researched area. [32][33][34] IMPLICATIONS FOR PRACTICE A number of local studies suggest that the programme has been better implemented in some areas with coverage of 80% and statin prescription of up to 50% in highrisk individuals in some CCGs. 25 35 Nationally, uptake in 2011-2012 was reported as 45%, with high levels of variability and better uptake in more deprived areas. 6 5 There is limited evidence of effectiveness 35 or comorbidities identified 36 and statin uptake in those at high risk was reported to be between 20% and 50%, 5 25 which accords with national surveys of 32%. 37 Despite a statin treatment rate of only 19% in high-risk attendees in this study, this is likely to have had an important impact on CVD events in those treated. Assuming that 1.2 million people attended a NHS Check each year in the 5 years since 2010, of whom 10% (120 000) were at high CVD risk averaging 2.5% per year, and 19.3% (23 160) of these people were treated with statins over this period and 8.8% (10 560) were treated with antihypertensives; if each treatment reduces cardiovascular risk by 20%, it is estimated that 2529 people would avoid a major CVD event over a 5-year period. 11 12 Higher uptake in recent years and additional treatment in people at both high CVD risk and at lower CVD risk make this a conservative estimate and behavioural change will have further impact. 37 These estimates assume that patients who are prescribed medications take them for a 5-year period and that the impact on outcomes is similar to that described in the trial meta-analyses cited.
The NHS Health Check programme has had a difficult birth. The efficacy of the programme has been challenged, [38][39][40][41] based largely on a review of 16 trials of health checks, of which 12 trials were undertaken more than 20 years ago before 1994, [42][43][44][45][46][47][48][49][50][51][52] the year in which the landmark 4S trial established statin effectiveness. 53 This means that 12 out of 16 of the reported studies were conducted before statins or modern antihypertensive drugs were used. Of the trials since 1994, only one 52 specifically recommended drug treatment for CVD risk, the other three offering advice but no drug treatment. [54][55][56] The results of the Inter99 study of intensive lifestyle counselling published subsequent to this review 57 showed no reduction in CVD. Despite high-quality review of trial evidence showing net benefit, 11 statins have continued to received considerable adverse publicity 58 59 which has been refuted. 60 There have also been organisational factors that have impacted on implementation of the programme. Major organisational change in the NHS in the context of financial austerity 61 62 led to one-third of staff leaving many PCTs in the transition to CCGs in April 2013 63 and commissioning responsibility for NHS Checks passed to Local Authorities. It is perhaps not surprising that in 2013, 27/151 PCTs nationally offered NHS Health Checks to fewer than 10% of eligible individuals and uptake could be substantially improved. 64 The most efficient means to deliver this programme including delivery through pharmacies and likely economic impact, remain subjects for further research and debate. A range of infrastructural issues and new research are currently being addressed by Public Health England. 65 66 This study indicates limited though improving success in the early years of a major new national preventive programme. Coverage of 30% and statin treatment of 19% of attendees at high CVD risk leave considerable room for improvement. New comorbidity and abnormal risk factors were frequently identified in people who attended an NHS Health Check. The majority of referrals for abnormal risk factors were among people at lower CVD risk. This modest start to a major new programme at scale is likely to have made an important impact on CVD events in people who have been treated with statins and antihypertensives or who improved adverse risk factors.