Heart failure (HF) represents a significant and growing burden both on patients and the healthcare system:
These figures highlight the importance of early identification, accurate diagnosis and proactive optimisation of Heart Failure management within primary care, to improve patient outcomes and reduce hospital admissions.
The Primary Care Networks’ (PCN) Direct Enhanced Services contract asks PCNs to focus on cardiovascular prevention, including the early diagnosis of HF.
When reviewing the local data at Debden Health Group (DHG) there were discrepancies on HF prevalence and coding accuracy identified across practices within the Group – a PCN within Suffolk and North East Essex (SNEE). Although the overall HF prevalence was 0.72% higher than the national average, it was predicted using Public Health England modelled prevalence estimates, that approximately 169 patients across the PCN may have an un-coded heart failure (fig.1).

NICE estimates around 50% of HF patients have left ventricular systolic dysfunction (LVSD) or heart failure reduced ejection fraction (HFrEF)4. Identifying these ‘missing’ patients not only helped to improve the Quality Outcomes Framework (QOF) prevalence accuracy but also ensured patients were correctly identified for symptomatic review and monitoring of their condition.
A review of practice processes at DHG found that echocardiogram (echo) coding was inconsistent, along with some inconsistencies in hospital correspondence, which often did not clearly mention a confirmed HF diagnosis. This prevented coders from easily adding patients to the QOF HF register, leading to patients not being coded at the point of diagnosis.
The Peninsula Practice, part of DHG, demonstrated significantly higher HF prevalence compared to other practices, possibly due to the presence of an existing ‘echo coding protocol’ (fig.2).

Implementing this protocol across the PCN became a key part of the project, aiming to standardise how echos and new HF diagnosis were coded. Additionally, it was found that some patients had not been optimised on optimum medication, such as the four pillars of
HF treatment, and these patients may not have always received regular annual reviews of their condition.
DHG proposed a project that would standardise coding practices across the PCN to ensure accurate HF identification, improve QOF performance and enable appropriate clinical management. Through early identification and intervention, the intended outcome of the project was to reduce emergency admissions and associated admission costs for this cohort of patients; whilst also increasing practice QOF income through prevalence adjustments, improving quality of QOF reviews and reducing QOF exception rates.
The project aimed to:
The project was developed in three phases:
Phase 1 – Case Finding (2022): Improve coding accuracy and increase HF prevalence by identifying uncoded cases and implementing a revised coding protocol.
Phase 2 – HF Management (2023): Enhance clinical care through staff education, upskilling HF leads, developing an HF protocol and introducing Multidisciplinary Team (MDT) meetings.
Phase 3 – Wider Implementation: Share learning across all PCN practices and potentially extend the model across the wider SNEE region.
The PCN identified a need to improve the accurate coding of HF diagnosis and classification of HFrEF/ LVSD. Through phase one of the project, case finding work and an updated PCN Coding Protocol for incoming hospital correspondence aimed to increase HF prevalence so that patients could be correctly managed and optimised on the four pillars of care.
Local Population Health Management data also revealed a high cost associated with HF-related hospital admissions, with many patients presenting with decompensated HF symptoms without a prior HF diagnosis (fig 3).
This highlighted the potential for earlier identification and proactive management within primary care to both reduce avoidable hospital admissions and prolong and improve the quality of life of HF patients.

HF reviews have been incentivised through QOF for many years, however in 2020/21 only 31% of HF patients in SNEE received a HF review.
Patients who were not managed by community or hospital HF services may not have received the same standard of reviews as those who were managed by these specialist services. Furthermore, there was variable confidence among clinicians in DHG PCN in recognising HF categories and managing them. Many clinicians were not confident or fully aware of:
Several system-level and communication barriers may have contributed to variation in management:
To address these challenges DHG worked closely with community HF nurses to bridge the gap between primary and secondary care. The PCN nominated an Advanced Nurse Practitioner (ANP) HF Lead who was upskilled to manage HF patients more comprehensively and who, as a result, developed a HF protocol to support DHG clinicians.
The project also focused on upskilling the wider PCN workforce to enable earlier identification and intervention of HF:
The HF Lead ANP acted as the point of contact with the HF MDT, for management of more complex patients. This structured, team-based approach supported earlier detection, consistent management and better alignment with NICE guidance across all practices in the PCN.
NHS England: PCN Direct Enhanced Services – Cardiovascular Disease Prevention Supplementary Guidance
NHS Long Term Plan – CVD: Supporting the early detection of heart failure and heart valve disease through increasing access to diagnostic testing in primary care.
QOF Contract – HF007. The percentage of patients with a diagnosis of heart failure on the register, who have had a review in the preceding 12 months, including an assessment of functional capacity and a review of medication to ensure medicines optimisation at maximal tolerated doses
SNEE Joint Forward Plan – places priority on CVD and aims for 5% reduction in acute admissions with a first presentation of heart failure.
The PCN successfully increased the HF register size through:

National QOF prevalence rose from 0.9% when the project stated in 2022, to 1.1% in 2024/25, DHG PCN Practices maintain higher than national average QOF prevalence:

Standardisation of coding for incoming hospital correspondence across the PCN ensured that all patients with a new diagnosis of HF were promptly added to the QOF HF register and appropriately flagged for review. The coding protocol also ensures all new HF diagnoses are communicated directly to the patient’s GP, so they can communicate the diagnosis to patients and review or optimise medication as required.
In early 2023 the desktop review of Framfield House patients on the HF02 (LVSD/HFrEF) register began to stratify patients based on their latest results and symptoms, whilst avoiding duplication for those already under the community HF nurse review. This led to enhanced reviews by the HF lead ANP of 138 patients on the ‘HF02’ register (19 already under the community HF nurses) to clarify diagosis, check recent BNP/echo results, assess symptoms and optimise medication. The reviews presented an improvement in care for this cohort of patients, as all received an indepth HF review and requests for up to date tests.
Through discussions with patients, the HF Lead ANP also helped to support patients with understanding their diagnosis and prognosis, the benefits of taking specific medications to improve both symptoms and management of their condition. Optimising patients on the four pillars has shown to extend life expectancy, reduce HF related hospital admissions and enhance the quality of life for those with HFrEF 7.
The HF Project was initiated at Framfield House Surgery as a pilot but has since been adopted across all four practices within the Deben Health Group (DHG) PCN.
Through the upskilling of a dedicated HF Lead ANP, the PCN now has an in-house clinical expert in heart failure management who also acts as a liaison with community HF nurses. This collaboration led to the establishment of HF MDT meetings, the first of their kind in the area, enabling stronger integration between primary, community and secondary care services.
Previously, patients required referral to the already overstretched community HF service, sometimes resulting in delays in treatment initiation. With the new model, evidence-based HF therapy can now be confidently initiated in primary care, reducing both the burden on community services and the need for patients to engage with multiple care providers.
This project supported workforce development and empowerment within the PCN:
As the project expanded, the HF Lead ANP began completing reviews across all four PCN practices, supporting QOF achievement and alleviating GP workload by shifting elements of chronic disease management to ANP’s. This cross-practice approach also highlighted variation in clinician confidence and training, identifying opportunities for targeted education — particularly around the four pillars of HFrEF management.
By optimising treatment earlier and achieving better symptom control, the expectation is that previously high-demand HF patients will require fewer clinical appointments and hospital visits, leading to improved patient outcomes and a more sustainable workload across the PCN.
However, the project has already demonstrated some measurable financial and quality benefits at practice level:
These findings may demonstrate that, while the broader system impact will require a longer period of evaluation, the project has already delivered benefits for practices in terms of data quality, register accuracy and QOF performance.
Step 1: Retrospective case finding.
Step 2: Ongoing early identification.
Step 3: Identifying and diagnosis.
Step 4: The heart failurereview review.
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Figures and charts
Figure 1: QOF Heart Failure Prevalence Data: NHS England – NHS Digital. (2025). Quality and Outcomes framework – Official Statistics. [Online]. digital.nhs.uk. Last Updated: 28 August 2025. Available at: https://digital.nhs.uk/data-and-information/publications/statistical/quality-and-outcomes-framework- [Accessed 10 March 2026].
Figure 2: QOF Heart Failure Prevalence Data: NHS England – NHS Digital. (2025). Quality and Outcomes framework – Official Statistics. [Online]. digital.nhs.uk. Last Updated: 28 August 2025. Available at: https://digital.nhs.uk/data-and-information/publications/statistical/quality-and-outcomes-framework- [Accessed 10 March 2026].
Figure 3: Heart failure admissions (England) HES inpatient data April 2019-March, 2020. Novartis data on file.
Figure 4: QOF database. (2024). NHS England Heart Failure. [Online]. gpcontract.co.uk. Available at: https://www.gpcontract.co.uk/browse/ENG/Heart%20Failure/24 [Accessed 10 March 2026].
Figure 5: Coding protocol example.
Figure 6: Figure 4: QOF database. (2024). NHS England Heart Failure. [Online]. gpcontract.co.uk. Available at: https://www.gpcontract.co.uk/browse/ENG/Heart%20Failure/24 [Accessed 10 March 2026].
References
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