The evidence for personalised care
The evidence base for personalised care continues to grow, demonstrating a positive impact on people, the system and professionals. Shared decision making between people and clinicians about their tests, treatments and support options leads to more realistic expectations, a better match between individuals’ values and treatment choices, and fewer unnecessary interventions.
Personalised care also has a positive impact on health inequalities, taking account of different backgrounds and preferences, with people from lower socioeconomic groups able to benefit the most from personalised care.
Other highlights from NHS England include:
- In a recent independent survey, 86% of people with a personal health budget said that they had achieved what they wanted with their PHB and 77% of people would recommend PHBs to others.
- PHBs in NHS Continuing Healthcare (CHC) have also been shown to achieve an average 17% saving on the direct cost of home care packages. Whilst we do not expect this 17% saving to be repeated in a system operating at scale, it creates a compelling case to change the approach to delivering CHC home care.
- From tracking over 9,000 people with long-term conditions across a health and care system, evidence has shown that people who are more confident and able to manage their health conditions (that is, people with higher levels of activation) have 18% fewer GP contacts and 38% fewer emergency admissions than people with the least confidence.
- A literature review of over 1,000 research studies found peer support can help people feel more knowledgeable, confident and happy, and less isolated and alone.
- A recent systematic review of 73 studies of personal budgets in health and social care across the globe found “positive effects on overall satisfaction, with some evidence also of improvements in quality of life and sense of security. There may also be fewer adverse effects. Despite implementation challenges, recipients generally prefer this intervention to traditional supports”.
- A 2019 internal analysis of NHS Continuing Healthcare data showed that care and support accounts for 94% of PHB costs. 89% is direct personal care, activities of daily living and delegated healthcare tasks and support to achieve wellbeing outcomes. A further 5% is for the remaining care and support elements of the personalised care and support plan, such as physiotherapy, respite and other clinically approved initiatives.
For an overview of the evidence highlighted above, view this NHS England diagram 'The Evidence for Personalised Care'.
An individual’s participation in personalised care, and in particular shared decision making, is an essential component of its success. There is growing evidence that patient participation in discussions (that they fully understand) improves outcomes, and improves patient and staff satisfaction. It facilitates self-management and self-care and reduces complications. It is also a useful strategy for tackling over-diagnosis and over-treatment. Shared Decision Making ensures that individuals are (Hoffman, 2017):
- supported to make decisions based on their personal preferences
- more likely to adhere to evidence-based treatment regimes
- more likely to have improved outcomes, and
- less likely to regret the decisions that are made.
‘Prepared patients’ – those who are better involved in their care - have 18% fewer GP appointments. (The Health Foundation 2018.)
Shared decision-making is effective. Evaluations of various forms of shared decision-making show that it can lead to the following benefits (from Making shared decision-making a reality, The King's Fund publication, July 2011):
- improved knowledge and understanding
- more accurate risk perceptions
- greater comfort with decisions
- more participation
- fewer patients choosing major surgery
- better treatment adherence
- improved confidence and coping skills
- improved health behaviours
- more appropriate service use.
However, we know that people can be reluctant to question clinicians because they:
- don’t want to take up a busy health professional’s time
- don’t want to appear “difficult”
- are embarrassed to tell us they don’t understand for fear of appearing “stupid”
- want the clinician to tell them what to do.
We also know that 'health literacy' is an issue, and between 43 – 61% of the English working age population do not understand health information they are given (Institute of Health Equity/Public Health England 2015).
We consider how to 'change the conversation' here.
Research and Evaluation Papers
Leeds CCG: Social Prescribing reducing A&E attendances and admissions
The cohort of patients supported by this service were more likely to consume GP based resources than attend accident and emergency or be admitted to hospital. Evidence from their risk profiles, and counts of activity back up this expectation. As a consequence the largest potential savings are likely to be in terms of GP time, rather than commissioner savings through reduced activity in the secondary sphere. This is especially the case for the cohort receiving social prescribing from Connect Well which has a much lower level of A&E attendances than the GP based cohort before intervention- 0.5 attendances in 2015 against 1.0. There is evidence in the consortium supported cohort that a long term, plan based social prescribing intervention can help reduce the number of A&E attendances.
For any enquiries about Personalised Care, please contact us here and a member of the Personalisation team will be in touch with you as soon as possible.
Personalisation in cancer care - Mary's journey
From Macmillan Cancer Care
|Good and bad help How purpose and confidence transform lives||Personalised Care||March 2023||Download|
|Individualised funding has positive effects on health and social care outcomes||Personalised Care||March 2023||Download|
|Patients' Preferences Matter Kings Fund 2012||Personalised Care||January 1970||Download|
|Peer Support: What is it and Does it Work? NESTA||Personalised Care||March 2023||Download|
|The Evidence for Personalised Care||Personalised Care||March 2023||Download|
|Providing Personalised Care for People Living with Cancer (Macmillan)||Personalised Care||March 2023||Download|
|A Data-Driven Approach to Personalised Cancer Care||Personalised Care||October 2018||Download|
|Derby Hospital Renal Service Optimising use of home dialysis - an SDM approach - case study||Personalised Care||March 2023||Download|
|Frail Older People Given More Choice and Control PHB case study||Personalised Care||January 2023||Download|
|Mrs C's story of multiple health conditions and a personalised care approach||Personalised Care||January 2023||Download|
|Ongoing PHBs to support long term health and care needs case study||Personalised Care||January 2023||Download|
|PHBs supporting mental health recovery case study||Personalised Care||January 2023||Download|
|Reducing hospital emergency admissions case study||Personalised Care||January 2023||Download|
|Supported self management physiotherapist perspective diabetic patient severe pain and reduced mobility||Personalised Care||January 2023||Download|