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Support for Self Management of Chronic Diseases through Mobile eHealthcare

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Title: Support for Self Management of Chronic Diseases through Mobile eHealthcare


1
Support for Self Management of Chronic Diseases
through Mobile eHealthcare
  • Mihail Cocosila
  • Ph.D. Candidate
  • DeGroote School of Business, McMaster University
  • March 14, 2006

2
Foreword
  • In the 2005-2015 decade, deaths from chronic
    diseases will increase by 15 (and by 44 from
    diabetes alone) in Canada.
  • Governments can wait no more and must take
    action.
  • However, in the end, we really have to have a
    population thats aware and engaged in healthy
    living (former Federal Health Minister Ujjal
    Dosanjh)
  • Can mobile IT help in this societal endeavour?

Leong, M. (2005) Lifestyle choices will kill a
million Canadians WHO. Over next 10 years.
National Post, October 5, 2005, p. A11
3
Agenda
  • Introduction
  • Self-management adherence
  • Why mobile IT?
  • M-healthcare motivators benefits
  • M-healthcare demotivators obstacles
  • Business aspects
  • Conclusions and future research

4
Introduction
  • Essential challenge in healthcare provision
    today (Cowling et al. 1999, Siau et al. 2002)

population demands for higher quality healthcare
limited resources of the system to meet the
demands
5
Introduction
  • Demands aggravated by
  • growing incidence of chronic diseases and
    conditions represent 54 of the burden of all
    illnesses worldwide in 2001 and over 65 in 2020
    (WHO 2003)
  • ageing population (ratio working
    people/non-working pensioners in the developed
    world from 3/1 in 1999 to 1.5/1 in 2030)
    (PricewaterhouseCoopers 1999)
  • todays, impatient patient
  • better informed and educated, more dynamic,
    technically savvier
  • expecting more effective and efficient care
  • asking for more involvement in health decisions
    about their own illnesses
  • willing to live a quasi-normal active life
    (Forker-Dunn 2003, Grimson and Grimson 2002,
    PricewaterhouseCoopers 1999, Rohm and Rohm 2002).

6
Introduction
  • Healthcare system strained by
  • limitation of resources shortage of hospital
    beds and healthcare personnel (Siau et al. 2002,
    Rohm and Rohm 2002)
  • health providers always on the move and short of
    time (Cocosila and Archer, forthcoming).
  • Possible responses to the challenge
  • increasing focus on prevention, and patient
    pro-active attitude (Forker-Dunn 2003)
  • encouraging patient self-management of some
    chronic illnesses in out-of-hospital (i.e.,
    outpatient) conditions (Maglaveras et al. 2002).

7
Self-management adherence
  • Chronic conditions and diseases are
  • infectious (e.g., HIV-AIDS or tuberculosis), or
  • non-communicable (e.g., diabetes, hypertension,
    or asthma).
  • Several distinct features
  • duration (permanent, or necessitate a long period
    of care)
  • consequences (caused by non-reversible
    pathological deterioration leaving remnant
    disability) and,
  • treatment (necessitate multidisciplinary
    management and special conditions and training
    for patient rehabilitation) (Cheah 2001 WHO
    2003).
  • Serious concern for contemporary healthcare
  • 10 of people aged over 75 years suffer from
    congestive heart failure (20 by the 2030)
    (Celler et al. 2001)
  • asthma and depression are estimated to account
    for 5.1 billion and 12.4 billion, respectively,
    in annual direct medical costs in the U.S. alone
    (Weingarten et al. 2002).

8
Self-management adherence
  • Possible response delegate some patients
    responsibility for the management of their
    chronic illness at home.
  • Patients would be able to live a life as normal
    and active as possible while
  • taking medication (e.g., prescribed pills)
  • performing self-tests (e.g., blood pressure,
    blood glucose)
  • monitoring indicator levels (e.g., weight)
  • following a certain diet (e.g., watching for food
    sugar)
  • pursuing physical activity (e.g., practicing
    daily physical exercise)
  • maintaining a healthy life-style in general
    (e.g., avoiding smoking or alcohol consumption).
  • Intended gains
  • reducing costs
  • easing the work of healthcare providers
  • improving patient quality of life and saving
    lives.

9
Self-management adherence
  • Main barrier multifaceted and poorly understood
    patient non-adherence (approximately 50 of
    patient cases on average) (Bayliss et al. 2001,
    Dezii 2000, WHO 2003).
  • Insufficient adherence has consequences for
  • patients
  • healthcare professionals
  • government and society a veritable epidemic
    that causes 6 of hospital admissions (2 million
    a year in the U.S. alone) (Lowes 1998).
  • AdherenceCompliance (Concordance) the extent
    to which a persons behaviour - taking
    medication, following a diet, and/or executing
    lifestyle changes, corresponds with agreed
    recommendations from a health care provider (WHO
    2003).

10
Self-management adherence
Adherence factors (Cocosila and Archer 2004, WHO
2003)
11
Why mobile IT?
  • Since increasing the effectiveness of adherence
    interventions may have a far greater impact on
    the health of the population than any improvement
    in specific medical treatments (Haynes et al.
    2001),
  • but current methods of improving adherence for
    chronic health problems are complex,
    labor-intensive, and not predictably effective
    (McDonald et al. 2002),
  • it is time that additional efforts be directed
    towards developing and testing innovative
    approaches to assist patients to follow treatment
    prescriptions (Haynes et al. 1996)
  • An innovative approach mobile IT solutions.

12
Why mobile IT?...
Motivations and advantages of mobile IT
(Cocosila et al. 2004, Junglas and Watson 2003,
Mennecke and Strader 2003)
13
Why mobile IT?
Possible contributions from Mobile IT (Cocosila
and Archer 2005)
14
Why mobile IT?
  • Additional reasons
  • mobile technology is already available and
    evolving fast exceptional development of mobile
    communications and data services in recent years
    (over 1 billion users worldwide)
  • being mobile and connected has become a
    lifestyle trend across cultures
  • mobile IT provides digital data (as needed for
    effective healthcare)
  • the killer application of wireless text
    messaging or short messaging service (SMS)
    channel for cheap, asynchronous communications.

15
Why mobile IT?
  • A possible approach mobile health solutions
    embedded in wider adherence-improving
    initiatives.
  • Using mobile IT to address outpatient
    non-adherence involves
  • human and system issues
  • business aspects.
  • Major stakeholders in outpatient healthcare
    affected
  • Patients
  • Healthcare professionals
  • Healthcare institutions
  • Government and society.

16
M-healthcare motivators benefits
  • Patient motivators
  • Medical reasons
  • anytime-anywhere total mobility
  • permanent contact with healthcare
  • better quality of health services
  • higher quality of a quasi-normal life
  • predict and avoid serious health complications.
  • Social reasons
  • reduced absenteeism
  • better social integration
  • develop a responsive attitude, self-confidence,
    optimism, satisfaction, and improved education
  • interested in and savvy about technology.

17
M-healthcare motivators benefits
  • Healthcare professional motivators and benefits
  • Foster close and continuous dialogue with
    outpatients
  • Improve outpatient active involvement in their
    own care
  • Decrease waste of professional resources
  • Shift professional workload from routine to
    quality interventions
  • Ease work of home care providers
  • Increase work satisfaction
  • Reduce frequency of patient complaints.

18
M-healthcare motivators benefits
  • Institution (health insurance and disease
    management companies) benefits
  • Improve patient health behaviour
  • Improve efficiency and effectiveness of
    outpatient care
  • Save healthcare system time and money.

19
M-healthcare motivators benefits
  • Government and society benefits
  • Reduce waste of resources
  • Alleviate the contradiction between the
    increasing demand for better healthcare and
    societys limited resources
  • Redistribute resources towards patients who need
    them most
  • Allow better managing chronic illnesses on a
    regular basis
  • Help people live a quasi-normal and active life,
    thus not being a burden for society
  • Facilitate the modern tendency towards patient
    involvement in medical decisions.

20
M-healthcare demotivators obstacles
  • Patient issues
  • Intrinsic factors
  • patient-related factors (psychological,
    attitudinal, and behavioural traits) not
    favourable to some adherence activities
  • particular patient social situations.
  • Difficulties with technology
  • usability problems for elderly patients
  • resistance to using cutting edge technologies and
    devices because of lower level of experience or
    familiarity
  • attachment to older technologies
  • lack of acceptance of complicated and un-robust
    devices and solutions.

21
M-healthcare demotivators obstacles
  • Patient issues
  • Interaction with devices
  • dilemma about the optimal combination of patient
    and technology activity
  • patients bothered by too much and too often
    interactions
  • difficulty with limited input-output capabilities
    of mobile devices.
  • Security and privacy
  • reluctance to communicate personal data through
    wireless channels.

22
M-healthcare demotivators obstacles
  • Healthcare professional uncertainties
  • Outcome value
  • uncertainty regarding accuracy and reliability of
    adherence measuring
  • mistrust induced by the incorrect understanding
    of the type and time of expected results.
  • Reimbursement
  • no mechanism to reimburse most physicians for the
    time spent to interact remotely with patients or
    patient data.
  • Overwork
  • impossible to launch new healthcare initiatives
    that require more work
  • danger of system overflow by patient-initiated
    synchronous communication demands
  • risk of too many false alarms on patient status
    launched automatically by badly designed or tuned
    systems.

23
M-healthcare demotivators obstacles
  • Healthcare professional uncertainties
  • Work pattern changes
  • physician concerns about being removed from their
    current central roles of healthcare provision
  • physicians still bear the liability for patient
    care although they are not paid for the extra
    time allotted to homecare services
  • physician refusal to use technology because of a
    belief that it degrades their professional
    status, or because of technophobia
  • homecare nurses have to trade social relations
    for technology-mediated ones
  • training required by new technology.

24
M-healthcare demotivators obstacles
  • Healthcare professional uncertainties
  • Medical issues
  • who bears the responsibility in case of
    misunderstandings due to temporary technology
    failures?
  • who would be legally responsible for third party
    advice from social groups facilitated by the
    technology?
  • patient data being made available to third
    parties in discussion groups.
  • Security and privacy
  • uncertainty about best data storage approach
    distributed or centralized
  • insufficient privacy when patients communicate
    from public locations with healthcare
    professionals.

25
M-healthcare demotivators obstacles
  • Institution (health insurance and disease
    management companies) issues
  • Technology choice and implementation concerns
  • High investment costs
  • Contradiction between standardized practices and
    patient centeredness
  • Economies of scale and reaching a critical number
    of users.

26
M-healthcare demotivators obstacles
  • Healthcare system concerns
  • Technology obstacles
  • need to use an open platform to facilitate
    collaboration with existing or future systems
  • need to use a highly customizable technology
  • need to address technology problems early in the
    design.
  • Human barriers
  • alteration of existing homecare systems
  • create, change, or cut jobs
  • train people for support centres empowered by
    wireless capabilities
  • face significant stakeholder resistance to
    change.

27
Business aspects
28
Business aspects
  • Financial costs of non-adherence
  • Intrinsic costs - the actual waste of not taking
    a medication or not attending a
    consultation/prescribed test
  • e.g., overall cost of missed appointments in
    England alone amounts to approx. 716 million
    U.S. per year
  • paradoxical situation sometimes increased
    adherence does not lower the medical costs (e.g.,
    expected reduction in hospitalization is offset
    by increases in drug expenses).
  • Illness-related costs - medical (i.e., direct)
    and social (i.e., indirect) costs of chronic
    illnesses triggered and/or aggravated by poor
    adherence
  • represent a pure waste.

29
Business aspects
  • Savings generated by adherence
  • Direct savings - decrease of costs for medical
    services (e.g., hospitalization, visits at the
    primary care centre, ambulatory care) and
    medication
  • e.g., 14-46 of the on-site nursing activities in
    the U.K. and U.S.A. could be replaced by
    telecare, with net savings of approx. 2.25
    million U.S. per annum for a typical U.K. area
    health community and 60-85 per patient per
    activity in the U.S.A.
  • Indirect savings - reduction in personal and
    social costs generated by the chronic illness
    (e.g., absenteeism, early retirement, or
    premature death)
  • e.g., a German study demonstrated approx. 800.7
    U.S. per year per patient savings from the
    telecare of 46 diabetics because of reductions in
    travel time and missed work.

30
Business aspects
  • Cost of implementing m-healthcare adherence
    initiatives
  • Investment costs
  • Technology spending - central infrastructure
    (e.g., servers, computers, software, office
    spaces) and mobile outpatient devices
  • Human resources costs - personnel training,
    hiring, or re-assigning to other tasks.
  • Operating costs
  • Factors of operating cost reduction
  • Highly automation of interventions based on
    patient segmentation and prioritizing
  • Large outpatient mass
  • Patients partial support.

31
Conclusions and future research
  • Mobile solutions may help all major stakeholders
    in addressing outpatient non-adherence.
  • Most actors would face behavioural,
    organizational, technological, and financial
    adoption barriers of various intensity.
  • Future research should investigate implications
    for accommodating m-healthcare solutions
  • changes necessary to existing outpatient care
    systems
  • specific business cases.

32
Messages to remember
  • M-Healthcare for non-adherence could not
  • help patients who are being non-adherent for
    psychological and attitudinal reasons
  • replace the patient-health provider dialogue
  • be justified by its novelty but by improvements
    in the quality and cost effectiveness of health
    care processes
  • solve by itself existing organizational and
    managerial problems in the healthcare processes
    (Archer 2004, Cocosila and Archer 2004).
  • M-Healthcare for non-adherence could
  • support multi-dimensional adherence clinical
    initiatives (Cocosila and Archer 2004)
  • add value to remote care while addressing several
    adherence key factors (Davies and Henderson
    2003).
  • An important motivator to remember enhancing
    patient adherence appears to be more effective
    than the medical treatment itself (Haynes et al.
    2005).

33
Thank you!
  • Contact
  • Mihail Cocosila
  • Ph.D. Candidate
  • DeGroote School of Business,
  • McMaster University, Hamilton, Canada
  • cocosim_at_mcmaster.ca
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