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Mainstreaming remote care in the UK. Lessons
from the Preventative Technologies Grant and
Whole System Demonstrators programmes

James Barlow


NHS Connecting for Health Evaluation Programme 2009
Masterclass
17 September 2009




www.haciric.org
Overview

▬ Research background
▬ Remote care
▬ The future never quite arrives
▬ What we know from existing experience and
  research
▬ Conclusions
Research background

▬ Initial EPSRC funded projects on telecare planning and
  implementation, 2000-03 and 2003-2006
▬ Evaluation of Welsh telecare programme (continuing)
▬ EPSRC funded project on PTG implementation (2006-
  2008)
▬ Part of DH funded consortium evaluating the WSD
  programme and WSDAN (Imperial, King’s Fund, UCL,
  Oxford, Manchester, LSE)
▬ James Barlow, Steffen Bayer, Jane Hendy, Theti
  Chrysanthaki
Terminology

▬ ‘Telecare’
▬ ‘Telehealth’
▬ ‘Telemonitoring’
▬ ‘Telemedicine’
▬ ‘Assistive technology’
▬ ‘Smart homes’

▬All are used interchangeably to describe
 the remote delivery of health and social
 care
Remote care applications

                                                                                   Mitigating risk
                                    Safety and security monitoring, e.g.
                                    Bath overflowing, gas left on, door unlocked




     Prevention                                                                                        Prevention


Information &                                   The                                        Individual monitoring:
communication, e.g.                                                                        • Physiological signs
health advice, virtual                          individual in                              • Lifestyle / activities
self-help groups                                their home or
                                                wider
                                                environment




                     Improving
                    functionality          Electronic assistive technology, e.g.
                                                                                                     Prevention
                                           environmental controls, doors
                                           opening/closing, control of beds
Policy drivers

▬ The UK has taken a strong
  lead. Over 20 government
  reports since 1998 have
  called for telecare

▬ New finance (£170m +) via
  Preventative Technology
  Grant, Whole System
  Demonstrators and other
  initiatives
Remote care is not new ...
Practice by Telephone
The Yankees are rapidly finding out the benefits of the telephone. A newly
made grandmamma, we are told, was recently awakened by the bell at midnight,
and told by her inexperienced daughter, "Baby has the croup. What shall I do
with it?" Grandmamma replied she would call the family doctor, and would be
there in a minute. Grandmamma woke the doctor, and told him the terrible
news. He in turn asked to be put in telephonic communication with the anxious
mamma. "Lift the child to the telephone, and let me hear it cough," he
commands. The child is lifted, and it coughs. "That's not the croup," he declares,
and declines to leave his house on such small matters. He advises grandmamma
also to stay in bed: and, all anxiety quieted, the trio settle down happy for the
night

The Lancet 29 Nov 1879, Page 819


                                                 With thanks to Nicholas Robinson
… its arrival has been heralded
throughout the last decade
                                                 "The innovations we will
                                              encounter as we step beyond
                                              feasibility are dazzling in their
                                                          potential"
                                      R. Merrell, Yale University
                                      School of Medicine, 1995

                 "Over the next decade, the telemedicine
                 industry will expand into new markets and
                 service areas. Furthermore, its rapid rise will
                 have a profound impact on the delivery and
                 quality of medical care worldwide. In the United
                 States alone, we expect telemedicine will
                 represent at least 15 percent of all health care
                 expenditures by 2010”
                                 Telemedicine Industry Report 2000


                                    “Telecare has arrived. This year’s annual
                                     review reflects the transformation of our
                                     sector from social alarms to Telecare, and
                                     the repositioning of the Telecare service
                                     model from the periphery of housing,
                                     social care and health to centre stage”

                                                        Association of Social
                                                        Alarms providers, 2004
                  “2008: The year telecare
                      grows up?”
                          E-
                             Health Insider, 2007
                                                          With thanks to ?What If!
Diffusion of telecare in Surrey 1998-2005


            COPD Project

                 Brockhurst Dementia unit
    LAA: Safe                            Thames Ward, Molesey Hospital
     At Home
                             Columba   MEWS Hospital Discharge project

                                           NEECH videophone pilot
                                                      Leatherhead Hospital
                                  Mid Surrey Falls Project Dormers SMART House
   Guildford Falls Project

  Dray Court Telecare flat       Mid Surrey Wristcare pilot
                                                              Tandridge Telecare Flat


                 COPD at Home Project
                                                  Community Alarm Teams,
                                               Elmbridge, Guildford, Mole Valley
                                                           10
                                                        & Runnymede
▬ … but despite thousands of
  pilot or trial projects remote
  care has not yet become a
  mainstream part of care
  delivery
▬ Pockets of excellence don’t
  spread and pilot projects are
  not sustained
▬Lack of progress in UK (and elsewhere)
 is largely due to:
 • organisational problems (esp. integration
   within and between care providers)
 • a lack of obvious business models
 • … and limited benefits evidence is also
   playing a part
What’s needed to stimulate remote care?
             Adoption                               Spread                  Mainstreaming

                                                                                  ‘Business case’

                                                                               Evidence
                                                               Evaluation
                                       Awareness
uptake
                            Project mgt               Leadership

                                               Champions

                Enthusiasts                    Pump priming
                     Grants




                                                              time
         Source: Barlow, Hendy, Chrysanthaki
The existing evidence base
Focus of study                                  Evidence on:

                          Individual outcomes, i.e.      Systemic outcomes, i.e.
                               clinical or QOL        economic impact or impact on
                                improvement                    processes
Specific application,    Relatively good, growing     Limited, problematic – poor
e.g. aimed at patients   – numerous individual        specification of assumptions,
with diabetes            studies on which to build    lack of robust data
                         systematic reviews



General application,     Largely anecdotal,           Virtually unresearched –
e.g. aimed at a          growing – not yet peer       based on simulation
general population       reviewed                     modelling with limited data
(e.g.‘frail older
people’)



                                                               Barlow et al: (JTT 2007)
A lack of evidence isn’t always a barrier
to government policy initiatives …
… but it is now becoming important for remote care
implementation because …              … for social care
                                              organisations,
▬ Remote care now embracing new               research, … we’re
  stakeholders across the care system –       very practical, … to
  move from social to health care             have (evidence), that
                                              fits more with health
▬ Financial investment beyond the pilot
  stage needs to be made
▬ More robust evidence needed to build
  business cases for all parties –
  provider, commissioner, technology
                                          … you need the
  supply chain                            evidence, … when you
▬ Evidence increases stakeholder          get the evidence you
  receptiveness                           get true buy-in
▬ But we actually know very little!
We don’t even know how many remote
care users there are

▬ Poor data due to
                          4000
  inconsistent
                          3000
  definitions
                          2000

▬ Example from 5          1000
                             0
  leading LAs …                  Site Site Site Site Site
                                  1    2    3    4    5

                                 Recorded users 2006
                                 Recorded users 2008
 Source: Hendy & Barlow
                                 New users claimed in 2008
▬ And despite the reported benefits in
  terms of admissions avoidance, speedier
  discharges etc, this is largely based on
  anecdote or poorly designed studies
Exploring the potential impact on
healthcare

▬ Simulation modelling experiments can help
  us think about how remote care might
  change services
▬   … the figures aren’t important in these examples
Frail elderly care

                                                                                             death r w Inst
                                                        from HC to
                                                     waiting Inst entry
                                                             3
                                                                                                  fM

                                                                                                                             death rate Inst
                                                                                                                                                                                                          600
                                                                                         waiting                                entry fM
                                                                                         Inst fM from waiting to
                                                                                                                   Inst fM
                                                                                                   Inst entry 3


                  death rate   death rate
                                                                                                                                                                                                          550
                    HC fL        HC fM
  death rate    from HC fL     from hc fM to     from HC fH
      h            to h             fL              to fM       to waiting Inst      from waiting to                                 death rate Inst
                                                                  from HC fH
         healthy         HC fL            HC fM              HC fH           waiting Inst entry 4                                       entry fH
aging         from healthy to from HC fL to
                  HC fL           HC fM
                                                from HC fM to
                                                    HC fH      death rate
                                                                             Inst fH                 Inst fH
                                                                                                                                                                                                          500




                                                                                                                                                                                   Pop. in instit. care
                                                                 HC fH
                                                                     death r w
                                                                      Inst fH



                      share to
                        TC
                                                                                                                                                                                                          450                                          pessimistic
                  from healthy to        effect of TC on frac
                                        rate to inst care entry                                     TC fH to                                                                                                                                           optimistic
                       TC fL
                                                   fM
                                                                       to waiting Inst
                                                                                                   waiting Inst
                                                                                                                                                                                                          400
                       from TC fL
                          to h
                                                                         from TC fM                effect of TC on frac
                                                                                                  rate to inst care entry
                                                                                                             fH
                                                                                                                                                                                                                                                       best guess
                                                                              from TC fH to


               death rate      TC fL
                                                from TC fM
                                                   to fL
                                                                   TC fM
                                                                                   fM
                                                                                          TC fH
                                                                                                                                                                                                          350                                          base run
                 TC fL                     from TC fL to                    from TC fM to     death rate
                                               TC fM                            TC fH           TC fH


                                                            effect of TC on fty
                                                               progression
                                                                                                                                                                                                          300

                                                                                                                                                                                                          250

                                                                                                                                                                                                          200
                                                            132                                                                                                                                                 1
                                                                                                                                                                                                                      5       10         15       20
                                                                                                                                                                                                                          Time (years)
                                                            130
                                       Admissions / month




                                                            128
                                                                                                                                                                               Base case
                                                            126
                                                                                                                                                                               Best guess
                                                                                                                                                                                                                                              A 20% decline in
                                                            124                                                                                                                                                                               demand for care
                                                            122
                                                                                                                                                                                                                Falling                       home places?
                                                                                                                                                                                                                (initially)
                                                            120
                                                                             0               2                4               6                8       10 12   14 16   18 20
                                                                                                                                                                                                                hospital
                                                                                                                                         Time (Years)                                                           admissions?
Source: Bayer & Barlow
Effect of telecare on care costs in year 20

                                                        3 - 5% reduction in costs

Change     2.0%
in costs
           0.0%
           -2.0%
           -4.0%
           -6.0%                                      20% reduction
           -8.0%
                    20% less

                               Same




                                                 80% reduction   Effect of telecare
                                                                 on entry into
                                      40% more



Cost of telecare                                                 institutional care
package compared
to a conventional
care package
Chronic heart failure


                                    frac death r at risk
                                                                                      frac death r
                                                                                         asympt
                                                                                                                      frac death r sympt

                                                                                                                                                                                                                                                   Stabilisation in the
                                  dying at risk
                                                                frac r dev HF         dying
                                                                                   asymptomatic
                                                                                                                                  dying
                                                                                                                               symptomatic
                                                                                                                                                                                                                                                   demand for hospital
                                                                                                                                                                                                                                                   admissions?
                                                                            asymptomatic                                              symptomatic             time constant
                                          high risk                                                                                                          transfer to TC
                        becoming high                                         unknown                developing                        usual care
                            risk                           developing HF                             symptoms
        investment in      leaving high risk                                        frac r dev
          prevention
                                                               detection of         symptoms
                                                                                                                                                   transfer to TC
                            detection fraction               presymptomatic                               effectiveness of
 cost of risk               without screening                      HF                                        managing
reduction per                                                                     frac r dev sympt        unsymptomatic
                                 investment in                                          known
   person                          screening
                                                                                                                                                                  TC places
                                                                           asymptomatic
                                               screening cost               and known            developing sympt
                                                 per person                                       known disease                               symptomatic


                                                                                 dying known
                                                                                                                                                  TC
                                                                                                                                                                                                                                      total hospital days
                                                                                unsymptomatic
                                                                                                                                                            dying sympt TC
                                                                                                                               frac death r
                                                                                   <frac death r
                                                                                     asympt>
                                                                                                                                 sympt TC                                     100,000
                                                                                                             <frac death r                                                                                                                                                                                       1             1
                                                                                                                                                                                                                                                                                                  1
                                                                                                                sympt>           TC effect on frac
                                                                                                                                  death r sympt                                90,000                                                          1                1                1
                                                                                                                                                                                                          1       3           1       3                3                3                3
                                                                                                                                                                                         1       34                                                                                                       34             345
                                                                                                                                                                                                                      4                                                     45               45              5
                                                                                                                                                                                                                                                                                                                     2             23
                                                                                                                                                                                                      5                   5               45               45                                         2
                                                                                                                                                                               80,000                                                                               2
                                                                                                                                                                                                                                                                                     2
                                                                                                                                                                                                                                                   2
                                                                                                                                                                                             2                                    2
                                                                                                                                                                                                              2
                                                                                                                                                                               70,000

                                                                                                                                                                               60,000
                                                                                                                                                                                         0                                    25                                50                                    75                           100
                                                                                                                                                                                                                                                           Time (Month)

           Source: Bayer & Barlow                                                                                                                                              total hospital days    : base 1          1         1         1         1                                                     hospital days/Month
                                                                                                                                                                               total hospital days    : TC 3M 2           2         2         2         2                                                   hospital days/Month
                                                                                                                                                                               total hospital days    : Prevention 3M       3         3         3         3                                                 hospital days/Month
                                                                                                                                                                               total hospital days    : Screening 3M          4         4         4         4                                               hospital days/Month
                                                                                                                                                                               total hospital days    : TSP 1M        5         5         5         5         5                                             hospital days/Month
Conclusions

▬ Remote care has potential in managing LTCs and
  coping with aging population
▬ There is support for remote care at the individual level
  – the hurdles are at a system level
▬ ‘Evidence’ for costs / benefits becoming more
  important as pilots move towards mainstream
  investment decisions
▬ … but stories still crucial in convincing sceptics
▬ WSD may help, but need more resources to support
  gathering local data on consistent basis
Thank you

James Barlow

j.barlow@imperial.ac.uk

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  • 1. Mainstreaming remote care in the UK. Lessons from the Preventative Technologies Grant and Whole System Demonstrators programmes James Barlow NHS Connecting for Health Evaluation Programme 2009 Masterclass 17 September 2009 www.haciric.org
  • 2. Overview ▬ Research background ▬ Remote care ▬ The future never quite arrives ▬ What we know from existing experience and research ▬ Conclusions
  • 3. Research background ▬ Initial EPSRC funded projects on telecare planning and implementation, 2000-03 and 2003-2006 ▬ Evaluation of Welsh telecare programme (continuing) ▬ EPSRC funded project on PTG implementation (2006- 2008) ▬ Part of DH funded consortium evaluating the WSD programme and WSDAN (Imperial, King’s Fund, UCL, Oxford, Manchester, LSE) ▬ James Barlow, Steffen Bayer, Jane Hendy, Theti Chrysanthaki
  • 4. Terminology ▬ ‘Telecare’ ▬ ‘Telehealth’ ▬ ‘Telemonitoring’ ▬ ‘Telemedicine’ ▬ ‘Assistive technology’ ▬ ‘Smart homes’ ▬All are used interchangeably to describe the remote delivery of health and social care
  • 5. Remote care applications Mitigating risk Safety and security monitoring, e.g. Bath overflowing, gas left on, door unlocked Prevention Prevention Information & The Individual monitoring: communication, e.g. • Physiological signs health advice, virtual individual in • Lifestyle / activities self-help groups their home or wider environment Improving functionality Electronic assistive technology, e.g. Prevention environmental controls, doors opening/closing, control of beds
  • 6. Policy drivers ▬ The UK has taken a strong lead. Over 20 government reports since 1998 have called for telecare ▬ New finance (£170m +) via Preventative Technology Grant, Whole System Demonstrators and other initiatives
  • 7. Remote care is not new ...
  • 8. Practice by Telephone The Yankees are rapidly finding out the benefits of the telephone. A newly made grandmamma, we are told, was recently awakened by the bell at midnight, and told by her inexperienced daughter, "Baby has the croup. What shall I do with it?" Grandmamma replied she would call the family doctor, and would be there in a minute. Grandmamma woke the doctor, and told him the terrible news. He in turn asked to be put in telephonic communication with the anxious mamma. "Lift the child to the telephone, and let me hear it cough," he commands. The child is lifted, and it coughs. "That's not the croup," he declares, and declines to leave his house on such small matters. He advises grandmamma also to stay in bed: and, all anxiety quieted, the trio settle down happy for the night The Lancet 29 Nov 1879, Page 819 With thanks to Nicholas Robinson
  • 9. … its arrival has been heralded throughout the last decade "The innovations we will encounter as we step beyond feasibility are dazzling in their potential" R. Merrell, Yale University School of Medicine, 1995 "Over the next decade, the telemedicine industry will expand into new markets and service areas. Furthermore, its rapid rise will have a profound impact on the delivery and quality of medical care worldwide. In the United States alone, we expect telemedicine will represent at least 15 percent of all health care expenditures by 2010” Telemedicine Industry Report 2000 “Telecare has arrived. This year’s annual review reflects the transformation of our sector from social alarms to Telecare, and the repositioning of the Telecare service model from the periphery of housing, social care and health to centre stage” Association of Social Alarms providers, 2004 “2008: The year telecare grows up?” E- Health Insider, 2007 With thanks to ?What If!
  • 10. Diffusion of telecare in Surrey 1998-2005 COPD Project Brockhurst Dementia unit LAA: Safe Thames Ward, Molesey Hospital At Home Columba MEWS Hospital Discharge project NEECH videophone pilot Leatherhead Hospital Mid Surrey Falls Project Dormers SMART House Guildford Falls Project Dray Court Telecare flat Mid Surrey Wristcare pilot Tandridge Telecare Flat COPD at Home Project Community Alarm Teams, Elmbridge, Guildford, Mole Valley 10 & Runnymede
  • 11. ▬ … but despite thousands of pilot or trial projects remote care has not yet become a mainstream part of care delivery ▬ Pockets of excellence don’t spread and pilot projects are not sustained
  • 12. ▬Lack of progress in UK (and elsewhere) is largely due to: • organisational problems (esp. integration within and between care providers) • a lack of obvious business models • … and limited benefits evidence is also playing a part
  • 13. What’s needed to stimulate remote care? Adoption Spread Mainstreaming ‘Business case’ Evidence Evaluation Awareness uptake Project mgt Leadership Champions Enthusiasts Pump priming Grants time Source: Barlow, Hendy, Chrysanthaki
  • 14. The existing evidence base Focus of study Evidence on: Individual outcomes, i.e. Systemic outcomes, i.e. clinical or QOL economic impact or impact on improvement processes Specific application, Relatively good, growing Limited, problematic – poor e.g. aimed at patients – numerous individual specification of assumptions, with diabetes studies on which to build lack of robust data systematic reviews General application, Largely anecdotal, Virtually unresearched – e.g. aimed at a growing – not yet peer based on simulation general population reviewed modelling with limited data (e.g.‘frail older people’) Barlow et al: (JTT 2007)
  • 15. A lack of evidence isn’t always a barrier to government policy initiatives …
  • 16. … but it is now becoming important for remote care implementation because … … for social care organisations, ▬ Remote care now embracing new research, … we’re stakeholders across the care system – very practical, … to move from social to health care have (evidence), that fits more with health ▬ Financial investment beyond the pilot stage needs to be made ▬ More robust evidence needed to build business cases for all parties – provider, commissioner, technology … you need the supply chain evidence, … when you ▬ Evidence increases stakeholder get the evidence you receptiveness get true buy-in
  • 17. ▬ But we actually know very little!
  • 18. We don’t even know how many remote care users there are ▬ Poor data due to 4000 inconsistent 3000 definitions 2000 ▬ Example from 5 1000 0 leading LAs … Site Site Site Site Site 1 2 3 4 5 Recorded users 2006 Recorded users 2008 Source: Hendy & Barlow New users claimed in 2008
  • 19. ▬ And despite the reported benefits in terms of admissions avoidance, speedier discharges etc, this is largely based on anecdote or poorly designed studies
  • 20. Exploring the potential impact on healthcare ▬ Simulation modelling experiments can help us think about how remote care might change services ▬ … the figures aren’t important in these examples
  • 21. Frail elderly care death r w Inst from HC to waiting Inst entry 3 fM death rate Inst 600 waiting entry fM Inst fM from waiting to Inst fM Inst entry 3 death rate death rate 550 HC fL HC fM death rate from HC fL from hc fM to from HC fH h to h fL to fM to waiting Inst from waiting to death rate Inst from HC fH healthy HC fL HC fM HC fH waiting Inst entry 4 entry fH aging from healthy to from HC fL to HC fL HC fM from HC fM to HC fH death rate Inst fH Inst fH 500 Pop. in instit. care HC fH death r w Inst fH share to TC 450 pessimistic from healthy to effect of TC on frac rate to inst care entry TC fH to optimistic TC fL fM to waiting Inst waiting Inst 400 from TC fL to h from TC fM effect of TC on frac rate to inst care entry fH best guess from TC fH to death rate TC fL from TC fM to fL TC fM fM TC fH 350 base run TC fL from TC fL to from TC fM to death rate TC fM TC fH TC fH effect of TC on fty progression 300 250 200 132 1 5 10 15 20 Time (years) 130 Admissions / month 128 Base case 126 Best guess A 20% decline in 124 demand for care 122 Falling home places? (initially) 120 0 2 4 6 8 10 12 14 16 18 20 hospital Time (Years) admissions? Source: Bayer & Barlow
  • 22. Effect of telecare on care costs in year 20 3 - 5% reduction in costs Change 2.0% in costs 0.0% -2.0% -4.0% -6.0% 20% reduction -8.0% 20% less Same 80% reduction Effect of telecare on entry into 40% more Cost of telecare institutional care package compared to a conventional care package
  • 23. Chronic heart failure frac death r at risk frac death r asympt frac death r sympt Stabilisation in the dying at risk frac r dev HF dying asymptomatic dying symptomatic demand for hospital admissions? asymptomatic symptomatic time constant high risk transfer to TC becoming high unknown developing usual care risk developing HF symptoms investment in leaving high risk frac r dev prevention detection of symptoms transfer to TC detection fraction presymptomatic effectiveness of cost of risk without screening HF managing reduction per frac r dev sympt unsymptomatic investment in known person screening TC places asymptomatic screening cost and known developing sympt per person known disease symptomatic dying known TC total hospital days unsymptomatic dying sympt TC frac death r <frac death r asympt> sympt TC 100,000 <frac death r 1 1 1 sympt> TC effect on frac death r sympt 90,000 1 1 1 1 3 1 3 3 3 3 1 34 34 345 4 45 45 5 2 23 5 5 45 45 2 80,000 2 2 2 2 2 2 70,000 60,000 0 25 50 75 100 Time (Month) Source: Bayer & Barlow total hospital days : base 1 1 1 1 1 hospital days/Month total hospital days : TC 3M 2 2 2 2 2 hospital days/Month total hospital days : Prevention 3M 3 3 3 3 hospital days/Month total hospital days : Screening 3M 4 4 4 4 hospital days/Month total hospital days : TSP 1M 5 5 5 5 5 hospital days/Month
  • 24. Conclusions ▬ Remote care has potential in managing LTCs and coping with aging population ▬ There is support for remote care at the individual level – the hurdles are at a system level ▬ ‘Evidence’ for costs / benefits becoming more important as pilots move towards mainstream investment decisions ▬ … but stories still crucial in convincing sceptics ▬ WSD may help, but need more resources to support gathering local data on consistent basis