Dataset Information

An evaluation of the performance of the NHS Health Check programme in identifying people at high risk of developing type 2 diabetes.

ABSTRACT:

Objective

To evaluate the performance of the National Health Service (NHS) Health Check in identifying people at high risk of having or developing type 2 diabetes.

Design

Retrospective evaluation of the performance of the NHS Health Check diabetes filter (based on ethnicity, body mass index and blood pressure) in identifying people at risk for type 2 diabetes (glycated haemoglobin (HbA1c) ?42 mmol/mol recorded within 3 months of their NHS Health Check).

Setting

Heart of Birmingham Primary Care Trust (HoB PCT).

Subjects

34 022 patients with a Read code in the general practitioners' (GP) clinical record indicating that they had attended an NHS Health Check over the period April 2009 - February 2012.

Outcome measures

Primary outcome measure

proportion (%) of patients at risk of diabetes or non-diabetes hyperglycaemia not identified by a simple application of the NHS Health Check diabetes filter. Secondary outcome measures included sensitivity, positive predictive value (PPV) and specificity of the NHS Health Check diabetes filter.

Results

In HoB PCT, the simple application of the NHS Health Check diabetes filter led to a failure to identify 1990/5968 (33.3% (95% CI, 31.2% to 35.4%)) of patients of known ethnicity at risk of having or developing diabetes (HbA1c?42 mmol/mol). The NHS Health Check diabetes filter has a sensitivity of 66.8% (95% CI 65.7% to 68.0%), and the PPV was 41.1% (95% CI 40.1% to 42.1%). Specificity was 34.7% (95%CI 33.9% to 35.6%). Sensitivity and PPV of the NHS Health Check diabetes filter in the HoB PCT population are significantly greater for patients of Asian ethnic origin than for those of other ethnic backgrounds.

Conclusions

This evaluation, which was based on a large population sample, demonstrates that the NHS Health Check programme diabetes filter failed to identify a third of people at high risk of having or developing diabetes.

SUBMITTER: Smith S

PROVIDER: S-EPMC3612750 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

An evaluation of the performance of the NHS Health Check programme in identifying people at high risk of developing type 2 diabetes.

Smith Sarah S Waterall Jamie J Burden A C Felix AC

BMJ open 20130305 3

<h4>Objective</h4>To evaluate the performance of the National Health Service (NHS) Health Check in identifying people at high risk of having or developing type 2 diabetes.<h4>Design</h4>Retrospective evaluation of the performance of the NHS Health Check diabetes filter (based on ethnicity, body mass index and blood pressure) in identifying people at risk for type 2 diabetes (glycated haemoglobin (HbA1c) ≥42 mmol/mol recorded within 3 months of their NHS Health Check).<h4>Setting</h4>Heart of Bir ...[more]

PMID: 23468469

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Project description:IntroductionThe NHS Health Check aims to identify individuals at increased risk of cardiovascular diseases (CVDs) among the adult population in England. The Health Check includes calculation of CVD risk and discussion of pharmacological and lifestyle approaches to manage risk, including referral to lifestyle support services. The programme is commissioned by Local Authorities (LAs) and is delivered by a range of different providers in different settings. There is significant variation in activity, with uptake ranging from 25% to 85% in different areas, and clear evidence of variation in implementation and delivery practice.Methods and analysisWe aim to understand how the NHS Health Check programme works in different settings, for different groups, so that we can recommend improvements to maximise intended outcomes. To do so, we will undertake a realist review and a survey of LA public health teams. Our review will follow Pawson's five iterative stages: (1) locate existing theories, (2) search for evidence, (3) article selection, (4) extract and organise data and (5) synthesise evidence and draw conclusions. Our review will include documents describing local implementation alongside published research studies. We will recruit a stakeholder group (including Public Health England, commissioners and providers of Health Checks, plus members of the public and patients) to advise us throughout. Our survey will be sent to all 152 LAs in England to gather detailed information on programme delivery (including COVID-19-related changes) and available referral services. This will enable us to map delivery across England and relate these data to programme outcomes.Ethics and disseminationEthical approval is not required for this review. For the survey, we have received approval from the University of Kent Research Ethics Committee. Our findings will be used to develop recommendations on tailoring, implementation and design strategies to improve delivery of the NHS Health Check in different settings, for different groups.Prospero registration numberCRD42020163822.

Project description:ObjectivesTo describe the uptake and outputs of the National Health Service Health Check (NHSHC) programme in England.DesignObservational study.SettingNational primary care data extracted directly by NHS Digital from 90% of general practices (GP) in England.ParticipantsIndividuals aged 40-74 years, invited to or completing a NHSHC between 2012 and 2017, defined using primary care Read codes.InterventionThe NHSHC, a structured assessment of non-communicable disease risk factors and 10-year cardiovascular disease (CVD) risk, with recommendations for behavioural change support and therapeutic interventions.ResultsDuring the 5-year cycle, 9 694 979 individuals were offered an NHSHC and 5 102 758 (52.6%) took up the offer. There was geographical variation in uptake between local authorities across England ranging from 25.1% to 84.7%. Invitation methods changed over time to incorporate greater digitalisation, opportunistic delivery and delivery by third-party providers.The population offered an NHSHC resembled the English population in ethnicity and deprivation characteristics. Attendees were more likely to be older and women, but were similar in terms of ethnicity and deprivation, compared with non-attendees. Among attendees, risk factor prevalence reflected population survey estimates for England. Where a CVD risk score was documented, 25.9% had a 10-year CVD risk ≥10%, of which 20.3% were prescribed a statin. Advice, information and referrals were coded as delivered to over 2.5 million individuals identified to have risk factors.ConclusionThis national analysis of the NHSHC programme, using primary care data from over 9.5 million individuals offered a check, reveals an uptake rate of over 50% and no significant evidence of inequity by ethnicity or deprivation. To maximise the anticipated value of the NHSHC, we suggest continued action is needed to invite more eligible people for a check, reduce geographical variation in uptake, prioritise engagement with non-attendees and promote greater use of evidence-based interventions especially where risk is identified.

Project description:ObjectiveTo synthesise data concerning the views of commissioners, managers and healthcare professionals towards the National Health Service (NHS) Health Check programme in general and the challenges faced when implementing it in practice.DesignA systematic review of surveys and interview studies with a descriptive analysis of quantitative data and thematic synthesis of qualitative data.Data sourcesAn electronic literature search of MEDLINE, Embase, Health Management Information Consortium, Cumulative Index of Nursing and Allied Health Literature, Global Health, PsycInfo, Web of Science, OpenGrey, the Cochrane Library, NHS Evidence, Google Scholar, Google, ClinicalTrials.gov and the International Standard Randomised Controlled Trial Number registry from 1 January 1996 to 9 November 2016 with no language restriction and manual screening of reference lists of all included papers.Inclusion criteriaPrimary research reporting views of commissioners, managers or healthcare professionals on the NHS Health Check programme and its implementation in practice.ResultsOf 18?524 citations, 15 articles met the inclusion criteria. There was evidence from both quantitative and qualitative studies that some commissioners and general practice (GP) healthcare professionals were enthusiastic about the programme, whereas others raised concerns around inequality of uptake, the evidence base and cost-effectiveness. In contrast, those working in pharmacies were all positive about programme benefits, citing opportunities for their business and staff. The main challenges to implementation were: difficulties with information technology and computer software, resistance to the programme from some GPs, the impact on workload and staffing, funding and training needs. Inadequate privacy was also a challenge in pharmacy and community settings, along with difficulty recruiting people eligible for Health Checks and poor public access to some venues.ConclusionsThe success of the NHS Health Check Programme relies on engagement by those responsible for its commissioning, management and delivery. Recognising and addressing the challenges identified in this review, in particular the concerns of GPs, are important for the future of the programme.

Project description:OBJECTIVE:To evaluate uptake, risk factor detection and management from the National Health Service (NHS) Health Check (HC). DESIGN:This is a quasi-randomised controlled trial where participants were allocated to five cohorts based on birth year. Four cohorts were invited for an NHS HC between April 2011 and March 2015. SETTING:151 general practices in Hampshire, England, UK. PARTICIPANTS:366?005 participants born 1 April 1940-31 March 1976 eligible for an NHS HC. INTERVENTION:NHS HC invitation. MAIN OUTCOME MEASURES:HC attendance and absolute percentage changes and ORs of (1) detecting cardiovascular disease (CVD) 10-year risk >10%?and >20%, smokers, and total cholesterol (TC) >5.5?mmol/L and >7.5?mmol/L; (2) diagnosing hypertension, type 2 diabetes mellitus, chronic kidney disease (CKD) and atrial fibrillation (AF); and (3) new interventions with statins, antihypertensives, antiglycaemics and nicotine replacement therapy (NRT). RESULTS:HC attendance rose from 12% to 30% between 2011/2012 and 2014/2015 (p<0.001). HC invitation increased detection of CVD risk >10% (2.0%-3.6, p<0.001) and >20% (0.1%-0.6%, p<0.001-0.392), TC >5.5?mmol/L (4.1%-7.0%, p<0.001) and >7.5?mmol/L (0.3%-0.4%?p<0.001), hypertension (0.3%-0.6%, p<0.001-0.003), and interventions with statins (0.2%-0.9%, p<0.001-0.017) and antihypertensives (0.1%-0.6%, p<0.001-0.205). There were no consistent differences in detection of smokers, NRT, or diabetes, AF or CKD. Multivariate analyses showed associations between HC invitation and detecting CVD risk >10% (OR 8.01, 95%?CI 7.34 to 8.73) and >20% (5.86, 4.83 to 7.10), TC >5.5?mmol/L (3.72, 3.57 to 3.89) and >7.5?mmol/L (2.89, 2.46 to 3.38), and diagnoses of hypertension (1.33, 1.20 to 1.47) and diabetes (1.34, 1.12 to 1.61). OR of CVD risk >10%?plus statin and >20%?plus statin, respectively, was 2.90 (2.36 to 3.57) and 2.60 (1.92 to 3.52), and for hypertension plus antihypertensive was 1.33 (1.18 to 1.50). There were no associations with AF, CKD, antiglycaemics or NRT. Detection of several risk factors varied inversely by deprivation. CONCLUSIONS:HC invitation increased detection of cardiovascular risk factors, but corresponding increases in evidence-based interventions were modest.

Project description:OBJECTIVES:Evaluation of the demonstrator phase and first wave roll-out of the National Health Service (NHS) Diabetes Prevention Programme (DPP) in England. To examine: (1) intervention design, provision and fidelity assessment procedures; (2) risk assessment and recruitment pathways and (3) data collection for monitoring and evaluation. To provide recommendations informing decision makers on programme quality, improvements and future evaluation. DESIGN:We reviewed programme documents, mapping against the NHS DPP specification and National Institute for Health and Care Excellence (NICE) public health guideline: Type 2 diabetes (T2D) prevention in people at high risk (PH38), conducted qualitative research using individual interviews and focus group discussions with stakeholders and examined recruitment, fidelity and data collection procedures. SETTING:Seven NHS DPP demonstrator sites and, subsequently, 27 first wave areas across England. INTERVENTIONS:Intensive behavioural intervention with weight loss, diet and physical activity goals. The national programme specifies at least 13 sessions over 9?months, delivered face to face to groups of 15-20 adults with non-diabetic hyperglycaemia, mainly recruited from primary care and NHS Health Checks. PARTICIPANTS:Participants for qualitative research were purposively sampled to provide a spread of stakeholder experience. Documents for review were provided via the NHS DPP Management Group. FINDINGS:The NHS DPP specification reflected current evidence with a clear framework for service provision. Providers, with national capacity to deliver, supplied intervention plans compliant with this framework. Stakeholders highlighted limitations in fidelity assessment and recruitment and retention challenges, especially in reach and equity, that could adversely impact on implementation. Risk assessment for first wave eligibility differed from NICE guidance. CONCLUSIONS:The NHS DPP provides an evidence-based behavioural intervention for prevention of T2D in adults at high risk, with capacity to deliver nationally. Framework specification allows for balance between consistency and contextual variation in intervention delivery, with session details devolved to providers. Limitations in fidelity assurance, data collection procedures and recruitment issues could adversely impact on intervention effectiveness and restrict evaluation.

Project description:BackgroundNational Health Service Health Checks were introduced in 2009 to reduce cardiovascular disease (CVD) risks and events. Since then, national evaluations have highlighted the need to maximise the programme's impact by improving coverage and outputs. To address these challenges it is important to understand the extent to which positive behaviours are influenced across the NHS Health Check pathway and encourage the promotion or minimisation of behavioural facilitators and barriers respectively. This study applied behavioural science frameworks to: i) identify behaviours and actors relevant to uptake, delivery and follow up of NHS Health Checks and influences on these behaviours and; ii) signpost to example intervention content.MethodsA systematic review of studies reporting behaviours related to NHS Health Check-related behaviours of patients, health care professionals (HCPs) and commissioners. Influences on behaviours were coded using theory-based models: COM-B and Theoretical Domains Framework (TDF). Potential intervention types and behaviour change techniques (BCTs) were suggested to target key influences.ResultsWe identified 37 studies reporting nine behaviours and influences for eight of these. The most frequently identified influences were physical opportunity including HCPs having space and time to deliver NHS Health Checks and patients having money to adhere to recommendations to change diet and physical activity. Other key influences were motivational, such as beliefs about consequences about the value of NHS Health Checks and behaviour change, and social, such as influences of others on behaviour change. The following techniques are suggested for websites or smartphone apps: Adding objects to the environment, e.g. provide HCPs with electronic schedules to guide timely delivery of Health Checks to target physical opportunity, Social support (unspecified), e.g. include text suggesting patients to ask a colleague to agree in advance to join them in taking the 'healthy option' lunch at work; Information about health consequences, e.g. quotes and/or videos from patients talking about the health benefits of changes they have made.ConclusionsThrough the application of behavioural science we identified key behaviours and their influences which informed recommendations for intervention content. To ascertain the extent to which this reflects existing interventions we recommend a review of relevant evidence.

Project description:Background: Aiming to contribute to prevention of cardiovascular disease (CVD), the National Health Service (NHS) Health Check programme has been implemented across England since 2009. The programme involves cardiovascular risk stratification-at 5-year intervals-of all adults between the ages of 40 and 74 years, excluding any with preexisting vascular conditions (including CVD, diabetes mellitus, and hypertension, among others), and offers treatment to those at high risk. However, the cost-effectiveness and equity of population CVD screening is contested. This study aimed to determine whether the NHS Health Check programme is cost-effective and equitable in a city with high levels of deprivation and CVD.Methods and findings: IMPACTNCD is a dynamic stochastic microsimulation policy model, calibrated to Liverpool demographics, risk factor exposure, and CVD epidemiology. Using local and national data, as well as drawing on health and social care disease costs and health-state utilities, we modelled 5 scenarios from 2017 to 2040: Scenario (A): continuing current implementation of NHS Health Check;Scenario (B): implementation 'targeted' toward areas in the most deprived quintile with increased coverage and uptake;Scenario (C): 'optimal' implementation assuming optimal coverage, uptake, treatment, and lifestyle change;Scenario (D): scenario A combined with structural population-wide interventions targeting unhealthy diet and smoking;Scenario (E): scenario B combined with the structural interventions as above. We compared all scenarios with a counterfactual of no-NHS Health Check. Compared with no-NHS Health Check, the model estimated cumulative incremental cost-effectiveness ratio (ICER) (discounted £/quality-adjusted life year [QALY]) to be 11,000 (95% uncertainty interval [UI] -270,000 to 320,000) for scenario A, 1,500 (-91,000 to 100,000) for scenario B, -2,400 (-6,500 to 5,700) for scenario C, -5,100 (-7,400 to -3,200) for scenario D, and -5,000 (-7,400 to -3,100) for scenario E. Overall, scenario A is unlikely to become cost-effective or equitable, and scenario B is likely to become cost-effective by 2040 and equitable by 2039. Scenario C is likely to become cost-effective by 2030 and cost-saving by 2040. Scenarios D and E are likely to be cost-saving by 2021 and 2023, respectively, and equitable by 2025. The main limitation of the analysis is that we explicitly modelled CVD and diabetes mellitus only.Conclusions: According to our analysis of the situation in Liverpool, current NHS Health Check implementation appears neither equitable nor cost-effective. Optimal implementation is likely to be cost-saving but not equitable, while targeted implementation is likely to be both. Adding structural policies targeting cardiovascular risk factors could substantially improve equity and generate cost savings.

Project description:BackgroundNHS Health Check is a national cardiovascular disease (CVD) risk assessment programme for 40-74 year olds in England, in which practitioners should assess and communicate CVD risk, supported by appropriate risk-management advice and goal-setting. This requires effective communication, to equip patients with knowledge and intention to act. Currently, the QRISK®2 10-year CVD risk score is most common way in which CVD risk is estimated. Newer tools, such as JBS3, allow manipulation of risk factors and can demonstrate the impact of positive actions. However, the use, and relative value, of these tools within CVD risk communication is unknown. We will explore practitioner and patient CVD risk perceptions when using QRISK®2 or JBS3, the associated advice or treatment offered by the practitioner, and patients' responses.MethodsRIsk COmmunication in NHS Health Check (RICO) is a qualitative study with quantitative process evaluation. Twelve general practices in the West Midlands of England will be randomised to one of two groups: usual practice, in which practitioners use QRISK®2 to assess and communicate CVD risk; intervention, in which practitioners use JBS3. Twenty Health Checks per practice will be video-recorded (n = 240, 120 per group), with patients stratified by age, gender and ethnicity. Post-Health Check, video-stimulated recall (VSR) interviews will be conducted with 48 patients (n = 24 per group) and all practitioners (n = 12-18), using video excerpts to enhance participant recall/reflection. Patient medical record reviews will detect health-protective actions in the first 12-weeks following a Health Check (e.g., lifestyle referrals, statin prescription). Risk communication, patient response and intentions for health-protective behaviours in each group will be explored through thematic analysis of video-recorded Health Checks (using Protection Motivation Theory as a framework) and VSR interviews. Process evaluation will include between-group comparisons of quantitatively coded Health Check content and post-Health Check patient outcomes. Finally, 10 patients with the most positive intentions or behaviours will be selected for case study analysis (using all data sources).DiscussionThis study will produce novel insights about the utility of QRISK®2 and JBS3 to promote patient and practitioner understanding and perception of CVD risk and associated implications for patient intentions with respect to health-protective behaviours (and underlying mechanisms). Recommendations for practice will be developed.Trial registrationISRCTN ISRCTN10443908 . Registered 7th February 2017.

Project description:ObjectiveTo determine if use of point of care testing (POCT) is less costly than laboratory testing to the National Health Service (NHS) in delivering the NHS Health Check (NHSHC) programme in the primary care setting.DesignObservational study and theoretical mathematical model with microcosting approach.SettingWe collected data on NHSHC delivered at nine general practices (seven using POCT; two not using POCT).ParticipantsWe recruited nine general practices offering NHSHC and a pathology services laboratory in the same area.MethodsWe conducted mathematical modelling with permutations in the following fields: provider type (healthcare assistant or nurse), type of test performed (total cholesterol with either lab fasting glucose or HbA1c), cost of consumables and variable uptake rates, including rate of non-response to invite letter and rate of missed [did not attend (DNA)] appointments. We calculated total expected cost (TEC) per 100 invites, number of NHSHC conducted per 100 invites and costs for completed NHSHC for laboratory and POCT-based pathways. A univariate and probabilistic sensitivity analysis was conducted to account for uncertainty in the input parameters.Main outcome measuresWe collected data on cost, volume and type of pathology services performed at seven general practices using POCT and a pathology services laboratory. We collected data on response to the NHSHC invitation letter and DNA rates from two general practices.ResultsTEC of using POCT to deliver a routine NHSHC is lower than the laboratory-led pathway with savings of £29 per 100 invited patients up the point of cardiovascular disease risk score presentation. Use of POCT can deliver NHSHC in one sitting, whereas the laboratory pathway offers patients several opportunities to DNA appointment.ConclusionsTEC of using POCT to deliver an NHSHC in the primary care setting is lower than the laboratory-led pathway. Using POCT minimises DNA rates associated with laboratory testing and enables completion of NHSHC in one sitting.

Dataset Information

An evaluation of the performance of the NHS Health Check programme in identifying people at high risk of developing type 2 diabetes.

Objective

Design

Setting

Subjects

Outcome measures

Primary outcome measure

Results

Conclusions

Publications

An evaluation of the performance of the NHS Health Check programme in identifying people at high risk of developing type 2 diabetes.

Similar Datasets

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