References

A promise to learn—a commitment to act: improving the safety of patients in England. 2013. https://tinyurl.com/yyt9zmll (accessed 24 July 2019)

An observational study to assess the feasibility of remote monitoring of patients in the early postoperative period after elective surgery. 2019. https://tinyurl.com/yyk68cxa (accessed 21 July 2019)

Report of the The Mid Staffordshire NHS Foundation Trust Public Inquiry. 2013. https://tinyurl.com/y4d28lgp (accessed 24 July 2019)

NHS England. House of care—a framework for long term condition care. 2016. https://tinyurl.com/y678y5vv (accessed 24 July 2019)

Kingston A, Robinson L, Booth H, Knapp M, Jagger C Projections of multi-morbidity in the older population in England to 2035: estimates from the Population Ageing and Care Simulation (PACSim) model. Age Ageing. 2018; 47:(3)374-380 https://doi.org/10.1093/ageing/afx201

Giving clinicians and patients the remote control

02 August 2019
Volume 24 · Issue 8

It is well recognised that the way the NHS manages care for long-term conditions (LTCs) is unsustainable (NHS England, 2016), and the need to establish new models, as laid out in NHS England's ‘House of Care’ framework (NHS England, 2016), is widely understood. Yet, despite the rationale and the consensus, implementing a solution at the local level remains a huge challenge. However, this need not be the case. Here, the author explores how remote monitoring could play a crucial role in re-engineering NHS pathways to cope with the growing problem of multimorbidity.

Trend lines undoubtedly show that the number of people with LTCs and multimorbidity continues to grow, placing intolerable pressure on services and pathways. More than 15 million people in England have at least one LTC, while the number of individuals with three or more is forecast to reach 2.9 million this year (NHS England, 2016). The implications are naturally significant. People with LTCs already account for 50% of all GP appointments, 70% of all bed days and around 70% of acute and primary care budgets in England (NHS England, 2016). As the population ages, these numbers are only going to increase. Recent research predicts that, by 2035, 2.5 million (17%) people over the age of 65 years will have four or more chronic illnesses. Around two-thirds of over 65s—a massive 9.7 million—will have at least two (Kingston et al, 2018). But the problem is not one for the future; it is one the UK faces in the here and now. The ability to establish effective models of LTC care is vital to the sustainable delivery of safe, timely and high-quality care. The question is: how can it be done? An evidence-based solution is available.

A primary problem: recognising deterioration

Fundamentally, the single biggest priority in the NHS is patient safety. Six years ago, in the wake of the Francis Report (Francis, 2013) and the Berwick Review (Berwick, 2013), a range of policies and measures were put in place to help clinicians recognise and respond to patient deterioration in acute settings. However, these same policies have not been extended into the community. As a result, clinicians in primary and community care are often unable to recognise deteriorating patients before the latter suffer an emergency exacerbation. The impact is felt on the frontline of care in the form of increased demand for services, greater costs and poor health outcomes. The scenario is particularly common in patients with multimorbidity; the system is not set up to support them.

The problems with approaches being used to address multimorbidity are manifold. Primarily, chronic diseases are typically managed in isolation via services that are set up to focus on single conditions (Faiz et al, 2019). Well-coordinated care is the exception not the rule, with pathways often fragmented and thwarted by a lack of informational connectivity.

Alongside this, patients with LTCs often receive limited support beyond the clinic. In the digital age, increased access to online information theoretically empowers patients to self-manage their conditions more effectively. However, the reality has not yet caught up with the rhetoric.

Services do not always do enough to educate patients around their disease, expecting them to take greater responsibility for the management of their conditions, simply because the technology is there to empower them. This is a passive approach that is prone to risk. Wide variation in online health information, health literacy levels and the understanding of disease invariably leads to poor self-management and, at times, patient deterioration. The latter manifests itself in patients returning to the GP surgery for urgent treatment or presenting at A&E. Many of these emergency exacerbations are entirely avoidable. However, since clinicians have no advance visibility of patient deterioration, they cannot proactively intervene.

The conclusion is clear: pathways in use that are routinely configured to deliver expensive, reactive models of care must be re-engineered

Regaining control through remote monitoring

The challenges of multimorbidity are familiar to every practice, community trust and acute hospital, many of which have limited control over the flow of patients into their services. But familiar challenges can have familiar solutions. This is certainly the case with LTC care.

The simple use of mobile technology can, at a stroke, empower patients and clinicians with tools to support the safe, proactive and efficient management of LTCs. Remote monitoring solutions, delivered over intuitive tablet devices, provide a powerful platform for intensive monitoring, education and empowerment of at-risk patients. These solutions are custom-designed to help patients engage with their health and self-manage their conditions through the daily capture of physiological data and self-reported information about their wellbeing. These data are linked to dynamic care plans and evidence-based algorithms that enable automated triage for healthcare teams when an escalation of care is required. Crucially, this gives clinicians real-time visibility of physiological trends to help them recognise and respond to deterioration. Moreover, it provides them with an evidence-base that facilitates ‘remote control’ of vulnerable patients, allowing them to intervene proactively rather than wait for a costly emergency exacerbation. This is hugely reassuring for patients and carers, who also feel in greater control of their care.

Adoption of remote monitoring solutions is growing across all settings within the NHS (Faiz et al, 2019). Evidence shows it is helping to facilitate earlier discharge, prevent readmission and reduce the risk of future exacerbations through better self-management (Faiz et al, 2019). For chronic diseases such as chronic obstructive pulmonary disorder, diabetes, heart failure and frailty, clinical commissioning groups and community trusts are leveraging remote monitoring solutions to engineer more efficient pathways, with improved patient engagement and better self-management, which would help alleviate the burden on services and lower the cost of care.

The principles of remote monitoring are strongly aligned with the key components of the ‘House of Care’ model for person-centred, co-ordinated care. The framework highlights the need for services that ‘engage and inform individuals and carers to self-manage’ (NHS England, 2016). It also calls for ‘organisational and clinical processes that structure around the needs of patients using the best evidence available’. Moreover, House of Care underlines the importance of ‘informational continuity’: if healthcare practitioners are to provide the right care at the right time, they ultimately need access to the right information. This is undoubtedly true. And it is why remote monitoring solutions, which give clinicians unprecedented real-time visibility of their most at-risk patients, must play a key role in future models of LTC care.

It is time to give clinicians—and patients—the remote control.