Service deliveryUnderstanding population health management

Understanding population health management

Is population health management all set to become a mainstream health tech tool? GovTech Leaders talks to Tony Ramwell from Servita to find out more.

What is Population Health Management? 

I guess firstly we should understand what Population Health is. The widely accepted definition of population health is: “the health outcomes of a group of individuals, including the distribution of such outcomes within the group”. In simpler terms it is the clinical or health outcomes of a defined section of society, as well as the distribution of health outcomes within the group.

Population Health Management [PHM] is an analytical use of data collected from multiple sources. This data is focused on defined segments of the population in order to manage specific diseases in that group. The idea being that this approach will improve clinical outcomes, standardise physician approach and help to reduce the cost of the disease management, amongst other benefits.

Is this new, new or a new definition for a previous theme/idea? 

This is really an evolution of the public health approach. With the increased amount of data available via the modernisation of healthcare systems such as Electronic Health Records (EHR), this has made it easier collate data, often in huge amounts. PHM has taken the public health approach one step further by using advanced analytics of the data collected from EHR’s, disease registries and other data sources.

What’s the main benefit to the provider and patients?

The benefits are vast. From a patient perspective PHM would aim to deliver improved patient outcomes, disease prevention, improved management of chronic diseases and standardised coordinated care. For providers such as physicians the information available to them enables for far greater understanding of the disease and impact to the patient groups. Healthcare institutions will expect to see the cost of care reduced with more targeted, standardised evidence based treatment being provided to the patients. Additionally, both patients and providers will benefit from the preventative medicine aspect that aims to reduce the need for health interactions once the patient is already advanced to the point of poor health.

How can his help with issues like an ageing population?

Generally, we are seeing a global trend for aging populations with less births and a longer life expectancy. With this expanding older adult population there is also an increase in chronic diseases such as hypertension, coronary heart disease, stroke, diabetes, and cancer. The management of these chronic diseases in this defined population group can benefit from the data that is being collated both at hospital, national and international levels.

Using this data to understand how best to treat these chronic diseases will help the outcomes and also reduce the cost of care. Further, with more understanding better preventative measures can be applied to help reduce the onset of these chronic diseases.

What stops more providers using it? 

There are a few challenges with providers utilising PHM. Firstly, there is a huge reliance on data; where this data is stored and how it is shared to enable a large enough data set to have meaningful levels of insight. Typically, healthcare institutions have kept their data to themselves and the sharing of data on regional or national levels has been sparse.

Increasingly, the need for this data sharing has become a hot topic and is now beginning to gain traction. Next, the quality of the data is of paramount importance. Often EHR data is incomplete through poorly entered patient information or poorly structured data capture where the use of free text fields allowed for the important data to be buried in with other information.

There is also the question of funding, most healthcare providers globally are funded on a fee for service model aimed at treating sickness and not at preventing illness. Therefore, there is little incentive to focus on preventative care models. However, this is changing. Countries where there is an insurance based healthcare system have started to see insurance companies realising the benefit of preventative medicine and more focus is being placed upon this. In countries such as the U.K. there is obvious synergy in preventative medicine which is cheaper to implement and reduces the cost of the management of chronic disease over the longer term. There is a shift in thinking but it has taken time to be realised.

Another challenge with PHM is the patient themselves. The patient is the key factor in the implementation of PHM and the ability to engage the patient in their own care management. Changing the populations/patients’ behaviours are key, health is not something an individual should become concerned with only when they are ill, but should be throughout all stages of their life. Increased access to cheap, high calorific food is driving obesity globally, more so in emerging nations such as Mexico (which has the fourth highest rate of obesity in the world), India and China (who project rapid increase in diabetes by 2035). A clear strategy to engage the patient at all states of their life is critical to create a successful PHM model, this has to be done not just through primary care but all the healthcare system. There may also be an issue if patients are not willing for their personal data to be shared in a PHM system.

How would you recommend approaching a PHM deployment?

This has to be a well thought out and carefully managed transformation that has the stakeholder buy in across the healthcare system. This can be at a trust level for the NHS or at a national level where they have achieved a single patient record or are planning to implement a new regional or nationwide EHR. From a technical aspect the key point is understanding the current data and where the challenges lie. How can a system be optimised to better capture this data to allow for secondary use? There are many aspects of the system design that allow for this. I would recommend a Data Enterprise Architect team complete a review of the data structure and quality as an initial step to understand the challenges that may need to be resolved to enable the data capture required for PHM.

Which parts of the world are leading the way?

Currently the US and the UK are the most active in the PHM space. This is largely due to the fact that they have been collecting data through the EHR records for a number of years already which has given a head start on other countries.

The UK NHS went through a digital transformation a quite some time ago and as such has been collating data for some time. There has also been a number of initiatives to create national registries via the NHS registries and audit team, these include, National Diabetes Audit, National Bowel Cancer Audit, National Oesophago-Gastric Cancer Audit, National Audit of Pulmonary Hypertension, etc. These registries capture disease specific data which can then be distilled to certain areas of the population, this level of data is hugely beneficial to the PHM programmes in the UK.

How can delivery organisations like Servita help with PHM?

Servita is able provide expertise across the board. With our team’s vast healthcare experience across a number of geographies we are able to bring a specialised transformation team to help our customers through a challenging implementation. From the initial planning and strategy, data review, registry design and build and patient engagement. Servita possess the teams that have experienced this first hand and will be able to guide our partners through this.

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