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Assessing the Return on Investment in
Health IT: an exploration of costs and
  benefits in relation to the remote
   monitoring of chronic diseases.


                Rowena Cullen
               Bronwyn Howell
                 Greg Martin
       Victoria University of Wellington
Technology-based health interventions are
rarely evaluated in terms of costs and benefits

This paper focuses on:
• Remote telemonitoring of home care patients with
Chronic Obstructive Pulmonary Disease (COPD) and
Heart Failure (HF).
   –Offers promising alternative for domiciliary care warranting
   significant investment in systems and infrastructure.

• Investigates where true costs and benefits lie, which of
the stakeholders receives the actual return on
investment.
• Identifies a key role for government, as social planner,
to take account of all relevant perspectives.
The impact of chronic diseases:
           COPD and heart failure (CHF)

• A heavy burden on patients, families and society, and
  excessive use of healthcare resources;
• As the population ages, incidence of chronic conditions
  increasing;
• In some healthcare systems, expenditure highly
  skewed: 5% of patients responsible for 55% of costs;
• COPD affects over 200 million people worldwide, WHO
  predicts third leading cause of death by 2030;
• In NZ COPD affects as many as 32% of those aged
  over 70 years; CHF a leading cause of mortality,
  morbidity and hospitalisation for over 65s;
• Creates significant demand for inpatient beds and
  services with substantial associated costs.
The clinical effectiveness of chronic care
          systems using telemonitoring


Systematic reviews show:
• impact on specific outcomes (hospital visits, admission,
  length of stay) consistently observed;
• data transferred by telemonitoring as reliable as those
  collected through face-to-face patient examination;
• reduction in rates of hospital admission 20-21%
• reduction in all-cause mortality by 20-34%, and CHF-
  related hospitalisations by about 20%;
• improved quality of life and reduced costs
  demonstrable outcomes in several studies.
Most studies flawed in method and scope (fail to
look at the system the service is part of)

• EU Health Unit Directorate, UK’s NICE claim studies
  inadequately randomised and do not address
  costs/benefits;
• Wide variety of metrics used to assess costs/benefits
  show savings ranging from 1.6% to 68.3%;
• Direct cost savings (e.g. hospitalization avoided,
  reduced outpatient or physician/nurse visits) favoured
  over indirect cost savings (e.g. nurse/technician travel
  time, patient travel costs, laboratory or pharmaceutical
  costs, etc.)
Range of factors critical to assessment of
      economic impact of an intervention

• Need to be clear about time frames over which the
  relative costs and benefits of both telemedicine and
  usual care interventions are expended and accrued.
• Need to look across the entire system to identify
  changes in workflow, hidden costs such as training,
  tasks not done, flow-on effects on other parts of the
  operation.
• Can’t just analyse the costs of the technology, must
  take these complementary costs into account also.
• Need to identify the objective function, the core function
  that is to be optimized
Whose objective function is being optimized?

• The focus on direct costs partly explained by two
  factors:
    – availability of data collected by health care providers
    – interests of funding stakeholders (insurance companies,
      government agencies) in reducing their own direct costs.
• A project designed to optimize returns for a funder of
  services will require analysis only of factors which fall
  within that funder’s budget area.
• Costs and benefits accruing to the patient (e.g. travel
  costs) are ignored.
• Care deliverers will optimize only on factors affecting
  their own operations, ignoring factors beyond their
  budgetary responsibility (e.g. pharmaceuticals,
  laboratory tests).
The social planner’s perspective

In a state funded healthcare system the social planner is
   usually the government.
• Govt must attempt to achieve the best result for all
   parties involved.
• The objective function for the social planner should
   assess the total costs and benefits accruing across the
   system, regardless of where they fall.
• Where services are partly delivered by commercial
   enterprises subcontracted to government
   organisations, the social planner is not always in a
   position to optimize the return on investment.
In New Zealand context state funding is
         distributed to a variety of providers

• Unclear which stake-holding group best internalizes the
  social planner’s objective function.
• Ministry of Health has a statutory obligation to take
  social planner’s view, but is also the ultimate budget-
  holder for the government share of sector funding.
• Not obligated to take into account additional resources
  expended by other parties (e.g. patients, or voluntary
  sector).
• Ministry’s objective function will most closely resemble
  the social planner’s perspective
    – it crosses multiple boundaries (care delivery, pharmaceuticals,
      etc.).
    – it has stronger incentives to optimize across longer time periods.
Other stake-holding groups likely to have objective
functions that exclude elements that should be considered
                in a comprehensive analysis

• DHBs
   – population-based funding, includes pharmaceutical and lab
     costs, and domiciliary care, but funded on annual basis
   – leaves them less able to address timing of cost and benefit
     accrual - prefer short term cost savings
• PHOs
   – Funded on capitation model through DHB budget
   – DHBs face no penalty in shifting costs to PHO
   – domiciliary telemonitoring of patients, which reduces hospital
     stays shifts the costs of treatment from a hospital physician onto
     a GP and nurses
   – Increases PHO staff workload with little compensation
   – Some costs shift to patient
   – Further, low income patients prefer hospitalisation, avoiding GP
     fees
Cost benefit analysis of telemonitoring
       systems remain problematic

• Systems have real potential but cost/benefit issues hold
  back widespread adoption.
• A comprehensive analysis should seek to optimize
  economic outcomes over a wide range of economic
  variables and over an extended time period.
• Ministry of Health-centric or DHB-centric objective
  function is more likely to be a good proxy for the social
  planner objective than a PHO-centric or Home care
  deliverer-centric objective.
Lessons learned . . .

• The use of technology changes the way care
  is delivered;
• Positive and negative impacts, e.g. brings
  new demands, changes work and information
  flows, involves losses as well as gains;
• The ability of the MoH to take social planner
  perspective across the entire sector more
  likely to identify costs transferred from one
  stakeholder to another;
• Responsibility of government to drive
  research in this area.

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Assessing the Return on Investment in Health IT: An Exploration of Costs and Benefits in Relation to the Remote Monitoring of Chronic Diseases

  • 1. Assessing the Return on Investment in Health IT: an exploration of costs and benefits in relation to the remote monitoring of chronic diseases. Rowena Cullen Bronwyn Howell Greg Martin Victoria University of Wellington
  • 2. Technology-based health interventions are rarely evaluated in terms of costs and benefits This paper focuses on: • Remote telemonitoring of home care patients with Chronic Obstructive Pulmonary Disease (COPD) and Heart Failure (HF). –Offers promising alternative for domiciliary care warranting significant investment in systems and infrastructure. • Investigates where true costs and benefits lie, which of the stakeholders receives the actual return on investment. • Identifies a key role for government, as social planner, to take account of all relevant perspectives.
  • 3. The impact of chronic diseases: COPD and heart failure (CHF) • A heavy burden on patients, families and society, and excessive use of healthcare resources; • As the population ages, incidence of chronic conditions increasing; • In some healthcare systems, expenditure highly skewed: 5% of patients responsible for 55% of costs; • COPD affects over 200 million people worldwide, WHO predicts third leading cause of death by 2030; • In NZ COPD affects as many as 32% of those aged over 70 years; CHF a leading cause of mortality, morbidity and hospitalisation for over 65s; • Creates significant demand for inpatient beds and services with substantial associated costs.
  • 4. The clinical effectiveness of chronic care systems using telemonitoring Systematic reviews show: • impact on specific outcomes (hospital visits, admission, length of stay) consistently observed; • data transferred by telemonitoring as reliable as those collected through face-to-face patient examination; • reduction in rates of hospital admission 20-21% • reduction in all-cause mortality by 20-34%, and CHF- related hospitalisations by about 20%; • improved quality of life and reduced costs demonstrable outcomes in several studies.
  • 5. Most studies flawed in method and scope (fail to look at the system the service is part of) • EU Health Unit Directorate, UK’s NICE claim studies inadequately randomised and do not address costs/benefits; • Wide variety of metrics used to assess costs/benefits show savings ranging from 1.6% to 68.3%; • Direct cost savings (e.g. hospitalization avoided, reduced outpatient or physician/nurse visits) favoured over indirect cost savings (e.g. nurse/technician travel time, patient travel costs, laboratory or pharmaceutical costs, etc.)
  • 6. Range of factors critical to assessment of economic impact of an intervention • Need to be clear about time frames over which the relative costs and benefits of both telemedicine and usual care interventions are expended and accrued. • Need to look across the entire system to identify changes in workflow, hidden costs such as training, tasks not done, flow-on effects on other parts of the operation. • Can’t just analyse the costs of the technology, must take these complementary costs into account also. • Need to identify the objective function, the core function that is to be optimized
  • 7. Whose objective function is being optimized? • The focus on direct costs partly explained by two factors: – availability of data collected by health care providers – interests of funding stakeholders (insurance companies, government agencies) in reducing their own direct costs. • A project designed to optimize returns for a funder of services will require analysis only of factors which fall within that funder’s budget area. • Costs and benefits accruing to the patient (e.g. travel costs) are ignored. • Care deliverers will optimize only on factors affecting their own operations, ignoring factors beyond their budgetary responsibility (e.g. pharmaceuticals, laboratory tests).
  • 8. The social planner’s perspective In a state funded healthcare system the social planner is usually the government. • Govt must attempt to achieve the best result for all parties involved. • The objective function for the social planner should assess the total costs and benefits accruing across the system, regardless of where they fall. • Where services are partly delivered by commercial enterprises subcontracted to government organisations, the social planner is not always in a position to optimize the return on investment.
  • 9. In New Zealand context state funding is distributed to a variety of providers • Unclear which stake-holding group best internalizes the social planner’s objective function. • Ministry of Health has a statutory obligation to take social planner’s view, but is also the ultimate budget- holder for the government share of sector funding. • Not obligated to take into account additional resources expended by other parties (e.g. patients, or voluntary sector). • Ministry’s objective function will most closely resemble the social planner’s perspective – it crosses multiple boundaries (care delivery, pharmaceuticals, etc.). – it has stronger incentives to optimize across longer time periods.
  • 10. Other stake-holding groups likely to have objective functions that exclude elements that should be considered in a comprehensive analysis • DHBs – population-based funding, includes pharmaceutical and lab costs, and domiciliary care, but funded on annual basis – leaves them less able to address timing of cost and benefit accrual - prefer short term cost savings • PHOs – Funded on capitation model through DHB budget – DHBs face no penalty in shifting costs to PHO – domiciliary telemonitoring of patients, which reduces hospital stays shifts the costs of treatment from a hospital physician onto a GP and nurses – Increases PHO staff workload with little compensation – Some costs shift to patient – Further, low income patients prefer hospitalisation, avoiding GP fees
  • 11. Cost benefit analysis of telemonitoring systems remain problematic • Systems have real potential but cost/benefit issues hold back widespread adoption. • A comprehensive analysis should seek to optimize economic outcomes over a wide range of economic variables and over an extended time period. • Ministry of Health-centric or DHB-centric objective function is more likely to be a good proxy for the social planner objective than a PHO-centric or Home care deliverer-centric objective.
  • 12. Lessons learned . . . • The use of technology changes the way care is delivered; • Positive and negative impacts, e.g. brings new demands, changes work and information flows, involves losses as well as gains; • The ability of the MoH to take social planner perspective across the entire sector more likely to identify costs transferred from one stakeholder to another; • Responsibility of government to drive research in this area.