A lack of shared understanding between clinicians, medtech and pharma is slowing UK progress in shifting the hospital to home

PA Consulting, the company that’s bringing ingenuity to life, launches global research on unlocking the next frontier of healthcare

As the NHS continues to face challenges in recruiting and retaining the healthcare workers hospitals need, the number of delayed discharges rapidly increases and preventative and personalised treatments come of age, the opportunity to deliver better healthcare outcomes by migrating care from hospitals to homes is widely recognised. However, PA Consulting’s global survey of 550 leaders across public and private healthcare found that nearly two thirds (65 per cent) considered a lack of understanding of healthcare systems and pathways by medtech and pharma as slowing adoption in the next five years.

The increasing burden of disease and chronic conditions, compounded by an aging population, have escalated costs and impacted health outcomes. Despite global respondents to PA’s survey believing moving care from hospital to home will help curtail rising healthcare costs in the next three years, PA’s research shows a lack of understanding, collaboration, and co-development between stakeholders. While healthcare leaders see medtech and pharma’s lack of understanding of healthcare systems as the biggest barrier, health and care professionals are wary of under-developed infrastructure, technological and financial implications, and clinical and reputational impact.

The opportunities and challenges:

• Healthcare leaders see the opportunity and 72 per cent say their organisation is prioritising at-home solutions – including diagnostics, monitoring, and advanced drug delivery systems – to provide patients with quality care while protecting capacity.
• Seven in ten global healthcare leaders (71 percent) say their organisation has a strategy for migration from hospital to home but believe health and care professionals doubt that treatments delivered at home are as safe as those delivered in traditional settings.
• Today, less than a third (28 percent) of healthcare leaders say physicians are motivated to transition from hospital care despite the positive medical outcomes. Even more worrying is that in five years’ time - when it is expected that hospital at home will be mainstream - this only rises to 40 percent.

The report highlights four key steps that can accelerate the shift from hospital to home care:

1. Engaging all stakeholders to collaboratively define future care. Co-designing products and services with partners and patients is key. Focusing on outcomes, not equipment, and on people’s needs, not technology will improve patient outcomes. In one council area, this approach has seen wearable detectors, smart sensors, and personal GPS devices support various health conditions at home and delivered £30 million in net financial benefits.
2. Differentiate through experience. Create better, safer, easier experiences for patients and professionals. Patients have power – their attitudes dictate treatment effectiveness and drive care pathway changes. In renal dialysis, for example, patients called for dialysis machines for use at home to reduce time spent in clinics, actively shifting site of care.
3. Deploy digital with intention. Digital solutions are more likely to see widespread adoption where there is a clear link between solution and value. New Prescription Digital Therapeutics (PDTs), for example, are helping to rethink current mental health care. PDTs enable lower priority sessions to be completed via an app, reducing long waiting lists while allowing psychologists or psychiatrists to focus on acute patients.
4. Show the value. Patient quality of life, health equity, and community impact are key facets of the new understanding of value. Better health outcomes as a result of shifting site of care will benefit patients and reduce pressure on healthcare practitioners. For example, Medtronic’s diabetes monitoring system pre-empts Hypoglycaemic attacks, assessing patients’ biomarkers against wider data trends and population statistics. This is one step closer towards autonomous diabetic management.