
Northamptonshire Analytical Reporting Platform (NARP)
Supporting clinicians and public health professionals to better understand and meet the health and care needs of our population.
Please note that your request will need to be shared with your organisation’s local Trusted Authority, as well as your line manager or sponsor, for evaluation.
User Agreement - Northamptonshire Analytical Reporting Platform
All users of the NARP system must read and agree to the NARP User Agreement on application. The NARP user agreements sets out the terms of use of the system.
If you have any issues or questions related to the Northamptonshire Analytical Reporting Platform, delivered by Graphnet, please let us know. Please include as much information as possible about your issue and the team will respond as soon as possible.
The Northamptonshire Analytical Reporting Platform (NARP) is a population heath management tool that allows clinicians to understand the health of their patients and our population, and public health teams to analyse and report health and care across our integrated care system. It also allows groups of patients to be identified who may be suitable for interventions or priorities for review, based on the risk to their health.
NARP combines the use of health, social care and wider data to reach the goal of better health and social care outcomes in Northamptonshire. NARP has the Johns Hopkins ACG System population health analytics software included.
ACG provides a range of population health management tools, including risk stratification (for admission, prescribing and some clinical conditions), population segmentation and defined clinical taxonomies. These are available as filters in NARP which enables the identification of patients meeting specific criteria or thresholds.
This can help develop enhanced care for patients, identify groups of patients who may benefit from a particular service and improve delivery of proactive and preventative services. It also allows clinicians to make use of risk stratification scores when prioritising patient activity and care planning.
NARP serves a wide range of users, from healthcare providers to public health specialists, all dedicated to improving health outcomes in Northamptonshire:
Versions: Patient identifiable, Deidentified
Description: Developed to identify population cohorts and undertake risk stratification at local and ICS level. Using the population health longitudinal patient record, the population explorer enables the whole of an ICS population to be filtered using demographics, diseases, activity, health markers and risk stratification measures. The tool is available for clinicians in patient identifiable format and is also available in deidentified format for non-direct care analysis.
Versions: Deidentified
Description: Developed to give users the ability to understand the Core20PLUS5 population and the proportion of ‘Core20’ compared with the rest of the population. Understand disease prevalence in the Core20 cohort. Compare lifestyle markers and activity measures in the Core20 groups.
Versions: Deidentified
Description: The smoking status report shows visualisations that analyse the link between smokers and other key identifiers, including age, long-term conditions, index of multiple deprivation (IMD) quintile and gender. These links help to identify groups within the smoking population, allowing them to be targeted by public health for intervention.
Versions: Deidentified, Patient identifiable
Description: The dashboard provides breakdowns of the diabetes population through the Demographic and Conditions insights pages, allowing users to better understand the diabetes population. The Diabetes Management and Health checks pages then offer insights into how diabetes is being managed. Primary care networks and GP practices can use filters to view rates of completed health checks and treatment targets against other areas, enabling them to target activity as needed.
Versions: Patient identifiable
Description: The report allows ICBs, PCNs and GP practices to easily identify health inequalities in a population and the wider determinants affecting patients based on their address. Segmentation is performed at ICB, practice, PCN and lower layer super output area (LSOA) level. Linking to Office for Health Improvement and Disparities Fingertips data at LSOA level, a heat map shows the geographies with the worst outcomes. Each indicator is then broken down by co-morbidities alongside a segmentation of the population. The dashboard can also be filtered by demographic influencers as long-term condition counts.
Versions: Deidentified, Patient identifiable
Description: This report gives an overview of the mental health cohort, as well as insights into key influences, such as demographics and co-morbidity. Visualisations show how mental health cases are distributed throughout a population, allowing the impact of demographic factors to be analysed. Breakdowns of individual conditions are also displayed, along with co-morbidity impacts.
Versions: Deidentified, Patient identifiable
Description: This report gives an overview of the multimorbid population breakdown, based on Quality and Outcomes Framework (QOF) and Adjusted Clinical Group (ACG) conditions with demographic influencers. Visualisations provide insight into the distribution of conditions that are prevalent in the population of multimorbid individuals, as well as their age distribution. This provides key factors that may contribute to whether a patient will have multiple conditions.
Versions: Deidentified
Description: Health Inequalities and Prevention Group share key data across healthy lifestyle services delivered in Northamptonshire. Healthy Behaviour Dashboard enables an overview of inequalities covering deprivation, ethnicity, gender and age. Data can also be filtered by Local Authority and local area partnership (LAP). The initial dashboard focuses on smoking and subsequent services will be added. Access to this dashboard is separate to the other NARP dashboards and is granted to those who need access to understand equity of these services and are working within the prevention and health inequalities workstreams.