Manchester Ecosystem GM AHSN Meeting ‘Active & Healthy Ageing’ Thursday 14 th January 2016 MSP CityLabs Wifi Username: MSP PUBLIC @Man_Inf #McrEcosystem
Accelerating Innovation into Practice Pathway Jane Macdonald Director of Nursing and Implementation GM AHSN
What is the pipeline for this? OBJECTIVES • Integral role for Health Innovation Manchester • Aligns to GM Strategic Plan • Designed to ensure Greater Manchester is an early implementer/adopter of disruptive innovation • Will build investable propositions for NHS commissioners (& potentially providers … & also social care). Key here will be: • The economic case for change • Plausibility • Benefits realisation • Methodological support for implementation and evaluation • Will link into devo governance arrangements to ensure we have the mandate that brings rapid and effective adoption through GM
Manchester Institute for Collaborative Research on Ageing (MICRA) RESEARCH PRIORITIES AND THE OPPORTUNITIES FOR TECHNOLOGY
AREAS COVERED • Development of MICRA • Role of technology • Opportunities • Challenges • Research gaps
Development of MICRA • Establish in 2010 as an interdisciplinary research network on ageing. Formed as an Institute in 2014 • The information hub for research on ageing at the University of Manchester, operating across all faculties • Provides a framework for academics to engage others in their research through collaboration and impact • Brings together academics, practitioners, policy makers and older people so our research meets the real challenges and opportunities of an ageing population • 2,000 members including academics, practitioners, policy makers and older people • 1,300 registered attendees for MICRA events in 2014/15 • 1,200 Twitter followers
KEY AMBITIONS • Continue to strengthen research on ageing at Manchester in priority areas: e.g. work, retirement & pensions; social and biomedical aspects of dementia; frailty/vulnerability • Internal capacity building - continue to grow the staffing and resource base for ageing research, especially with early career researchers • Development of Greater Manchester Ageing Hub to co- ordinate research initiatives on ageing across GM – comprises MICRA, Manchester City Council, New Economy and Public Health England. • Extend influence in key policy networks and research organisations
Key Partners • Manchester City Council & Greater Manchester: Partnerships in research projects (e.g. fRaill; EWL) and policy development (Age friendly Cities; Ageing Hub) Age UK: partnership agreement (e.g. Seedcorn funding; • development of research agendas in particular areas; support for research) • International Longevity Centre –UK: partnership agreement (fringe event at Labour/Conservative conf.); conferences; research partner • Government Office for Science: support for Foresight programme: preparation of research reports • Great Manchester Centre for Voluntary Organisation (GMCVO) – Ambition for Ageing (£10 million programme to combat loneliness).
Figure 1 – Percentage change in GM population by age band: mid-2001 to Census 2011 Migration: 1960s expansion of Post-war universities; better baby 25 enumeration boom boom Mini baby 20 boom 15 10 War 5 deaths 1930s depression 0 All ages 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90 and over -5 -10 Office of National Statistics
CHALLENGES FOR OLDER PEOPLE IN GM RELEVANT TO APPLICATION OF TECHNOLOGY • The projected growth in single-person households : a 66% increase in the numbers of people in GM 75 plus living alone by 2036, with one in three men aged 75 and over living alone by 2036. • Based on national data around 61,000 men aged 50+ (14%) and 53,000 women (11%) in GM are likely to experience social isolation • The projected growth in the number of people predicted to be diagnosed with some form of dementia: from 32,000 in GM in 2011 to 61,000 in 2036
OPPORTUNITIES FOR TECHNOLOGY • Community - Technologies that maintain social connections ( Skype ) • Home environment - Products that support ‘ageing in place’ ( ‘smart home’ ) • Body - Strategic use of ICT to improve functional ability (e.g. body sensors to monitor health ) • Care-giving - Technologies assisting carers supporting older people
Maintaining social connections • Internet use 9% 65+ using internet on daily basis in 2003 42% 65+ in 2014 - But social divisions around class/income & issue of between 3% and 10% of people who stop using the internet because of range of changes (sensory, physical, cognitive) arising in later life - Digital exclusion in care homes : of the 20,000 plus homes in UK, just 4, 178 provide access to the internet (carehome.co.uk -2014 figures)
Maintaining support • Tele-care systems long-established – likely shift from alarm-based to ‘continuous monitoring’; development of telecare services for people when outside the home 1 but: - older people in poor health least likely to accept new technologies; 2 - Stigmatising effect of ICT-based care services – wearing monitoring devices which carry the implication of frailty. 3,4
CHALLENGES • Diversity of people 50 plus driven by widening social inequalities may lead to unequal distribution of technology to support older people: technology rich versus technology poor. • Concerns about privacy may affect growth of connected devices 5 • Budget restrictions may restrict application of technology
Key research gaps & challenges • Explorations of the impact of connectivity linked to everyday objects (so-called ‘pervasive computing’) • Investigations of how people deal with changes to domestic technology (e.g. smart appliances) and how their use can be supported long-term • Engagement of older people as co-researchers • Research on causes and effects of digital disengagement • Research on causes of resistance to take-up of technology (amongst both professionals & older people).
REFERENCES 1. Damodaran, L & Olphert, W. (2015) How are attitudes and behaviours to the ageing process changing in the light of new media and new technology? How might these continue to evolve by 2025 and 2040. Foresight. Government Office for Science 2. Heart, T. & Kalderon, E. (2013) ‘Older Adults: are they ready to adopt health-related ICT?’ Int.Jrnl. Medical Informatics, 82: 209-231. 3. AgeUK (2010) Technology and older people: evidence review. London: AgeUK 4. Damant, J & Knapp, M. (2015) What are the likely changes in society and technology which will impact upon the ability of older adults to maintain social (extra-familial) networks of support now, in 2025 and in 2040? Foresight, Government Office for Science. 5. Accenture Digital Consumer Survey (2015) More about MICRA http://www.micra.manchester.ac.uk/
Ageing Well in Work: A Call to Action Jan Hopkins Ageing Well in Work Project Manager 17
The Task We Set Ourselves Aim: Focus on actions required to help individuals flourish in work, delay and plan early for retirement and remain active in their local communities Objective: Take stock of progress to-date and drawing on the experience of ‘what works’ across Europe, set out a framework for positive action Premise: Good work as a tool to promote future health and social resilience and independence in later living 18
Project Themes 4 Themes: o Workplace Adaptations o Retirement Choices o Managing Chronic Conditions in the Workplace o Managing an Older Workforce 19
Project Methods o In-depth reviews o Analysis of Public Health Outcomes Framework (PHOF) Learning exchange with EU partners o Insight work: NHS Health Checks and Health Trainers 20
The Age Of Opportunity In 1951 a 65 man could expect to live to 77, today he can expect to live to 86 and by 2050 to 91 More over 50s in workforce than ever before. Over 50s form a quarter of workers in GB. By 2020, it is set to rise to a third Reworked view of retirement and later living. Rejecting cliff-edge retirement. Age of no-retirement and portfolio working. View retirement as an active/independent phase BUT 2.9 million people aged 50-SPa who are out of work, only 0.7 million see themselves as retired, 1.7 million think it is unlikely that they will ever work again – many of these are sick or disabled 26% of people aged 50-64 who are out of work would like to work 21
Prevention and Targeted Action o Poorest social class have 60% higher prevalence and earlier onset of LTCs o Employees with a mental health condition, who remain in work without the support they need, cost UK businesses around £15 billion a year Prevalence of selected long-term health conditions 18-24 25-49 50-SPA by age group Musculoskeletal problems 3% 9% 21% Chest or breathing problems, asthma, bronchitis 5% 5% 8% Heart, blood pressure or blood circulation problems 1% 4% 17% Stomach, liver kidney or digestive problems 2% 3% 7% Diabetes 1% 2% 7% Depression, bad nerves or anxiety 3% 6% 8% Other health conditions 7% 9% 17% 22
Impact of Health on Work Status 23
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