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WHO eHealth initiatives: addressing
priority challenges in health systems

                   S. Yunkap Kwankam

                   Coordinator eHealth

           World Health Organization, Geneva


 eHealth    Med-e-Tel 2008 Luxembourg
Outline of presentation
 The WHO six point agenda

 Priority challenges in health systems

 The Africa Health Infoway

 The RF global initiative on eHealth

 Conclusion


eHealth    Med-e-Tel 2008 Luxembourg
WHO has a six point agenda for addressing gaps
and improving public health

                        Goal                                         Description

                  Accelerate          Bring to life-saving and health-promoting interventions to the poorest of
               1 development          the poor
Fundamental
health needs
                  Foster health       Improve health security for all especially as it relates to emerging and
               2 security             epidemic-prone diseases

                  Strengthen health   Focus on capacity building, financing, systems for collecting vital
               3 systems              statistics, and access to appropriate technology including drugs
 Strategic
  needs           Harness research,   Generate authoritative health info, define standards, articulate evidence-
               4 info & evidence      based policy options & monitor evolving global heath situation

                  Enhance             Build partnerships with UN agencies and other international
               5 partnerships         organizations, donors, civil society and the private sector
Operational
approaches        Improve             Continually improve effectiveness of WHO initiatives and staff
               6 performance

                   Overall effectiveness of effort measured by impact on
                            women’s health and health in Africa


       eHealth           Med-e-Tel 2008 Luxembourg
Health systems in Africa are especially weak
             Births attended by skilled health personnel1                                                            One-year-olds immunized with DTP32

      %                   93.3
                                                                                                         %
                                                                                                                           93.4               93.8           88.0
      100                                       80.9                 83.5                              100                           83.3
       80                                                                                                80     68.2                                 66.1
                                     58.0
       60      46.5                                        50.9
                                                                                                         60
       40                                                                                                40
        20                                                                                               20
         0                                                                                                0
               AFRO      AMRO       EMRO       EURO      SEARO      WPRO                                        AFRO       AMRO      EMRO     EURO   SEARO   WPRO




                               Infant mortality rate3                                                                           Maternal mortality ratio4

      Deaths per 1K live births                                                                         Deaths per 100K live births
               93.9
      100                                                                                              1000      865.4
       80                            60.1                                                               800
       60                                                  50.0                                         600                                          447.6
                                                                                                                                      396.4
       40                                                            21.2                               400
                          17.5                  12.4                                                                        119.6
        20                                                                                               200                                  33.8           67.8
         0                                                                                                 0
               AFRO      AMRO       EMRO       EURO      SEARO      WPRO                                         AFRO       AMRO     EMRO     EURO   SEARO   WPRO

                           More so than any other region, Africa needs to invest in its
                                                health systems

             eHealth                        Med-e-Tel 2008 Luxembourg
1. Latest year data between 1998-2006 2. Latest year data between 2004-2005 3. Latest year data 2004 4. Latest year data 2005
Source: WHO Core Health Indicators Database
As threats to global public health mount, stronger country-
   and district-level surveillance and reporting needed
 Threats to global public health security:
    • Smallpox                                    Selected emerging and re-emerging infectious diseases: 1996–2004
    • Poliomyelitis caused by a wild-type
      poliovirus
    • Human influenza caused by a new
      virus subtype (e.g. avian flu)
    • SARS

 Diseases of documented, but not
 inevitable, international impact, e.g.:
    • Cholera
    • Pneumonic plague
    • Yellow fever
    • Viral haemorrhagic fevers (Ebola,
      Lassa and Marburg)
    • West Nile fever

 Drug resistance in existing threats:
    • Tuberculosis
    • Diarrhoeal diseases
    • Hospital-acquired infections
    • Malaria
    • Meningitis
    • Respiratory tract infections
    • Sexually transmitted infections
    • HIV/AIDS



              eHealth
   Source: WHO World Health Report 2007   Med-e-Tel 2008 Luxembourg
Other infectious disease outbreaks have incurred massive
               economic costs to countries




               This economic cost is particularly difficult for poorer
                               countries to bear

     eHealth       Med-e-Tel 2008 Luxembourg
In the past, weak health systems have failed to stem
            rapid emergence and spread of disease

        Example: Failure to detect and curb spread of HIV/AIDS early on has led to massive human and financial costs




           eHealth
Source: WHO World Health Report 2007   Med-e-Tel 2008 Luxembourg
Sub-Saharan Africa




eHealth   Med-e-Tel 2008 Luxembourg
Focus of health investment should be on improving sector
 productivity, cannot just increase funding
                                         Level of HC spending is a function of              Healthcare is an inefficient sector, can
                                       GDP/capita regardless of external funding           improve productivity through technology

                                         10000                                              Baumol's cost disease: Labor intensive
                                                                 R2 = 0.94                  services, such as health care, face
      Health spend per capita (2005)




                                                                                            productivity lag - cannot substitute capital
                                                                                            for labor as efficiently as the general
                                          1000
                                                                                            economy, so the cost of producing them
                                                                                            goes up faster than general inflation

                                           100


                                                                                            5 ways to improve productivity:
                                                                                            1)   Increase capital per worker
                                           10
                                                                                            2)   Improved technology
                                             100       1000        10000          100000
                                                                                            3)   Increased labor skill
                                                              GDP PPP per capita (2005)     4)   Better management
Source: Nicholas C. Petris Center on Health Care Markets &
Consumer Welfare (UC Berkeley), WHO, A Handbook of Cultural
                                                                                            5)   Economies of scale as output rises
Economics (James Heilbrun)
                                                               The most effective way to improve productivity is to
                                                                            improve health systems

                                            eHealth           Med-e-Tel 2008 Luxembourg
Effectiveness of health spending widely variable
   Health outcomes not tightly linked to income level
                                                                Log GDP/Capita (PPP) vs Childhood (<5) Mortality

                                              300
       Childhood (<5) Mortality (per 1000)




                                              250



                                              200                    Rwanda
                                                                                Cote d'Ivoire
                                                                                                 Countries with similar profiles with
                                              150                                                  very different health outcomes
                                                                                Togo
                                                                     Kenya
                                              100


                                                                                                                   R2 = 0.60
                                              50



                                               0
                                                100                     1000                     10000                         100000

                                                                                                         GDP PPP per capita (2005)
                                                      Variation in health outcomes highlights considerable room for
                                                        improvement of inefficient and ineffective health systems

Source: WHO
                                             eHealth           Med-e-Tel 2008 Luxembourg
Countries with a critical shortage of health service
   providers (doctors, nurses and midwives)




 eHealth   Med-e-Tel 2008 Luxembourg
Distribution of health workers by level of health
expenditure and burden of disease, by WHO region




 eHealth   Med-e-Tel 2008 Luxembourg
Challenges of scaling the health workforce in
                   Africa
Assuming 20 years to scale up workforce
   Need to train 2.8 million (140 thousand/year)
   77 thousand trained/country
   3,800 workers per year for 20 years
   10 workers per day!

Current estimates of training output for Africa range from 10% to
30% of what's needed

Costs of scale-up – training and salaries – adds about $10/capita
minimum to health spending by year 2025.

   eHealth      Med-e-Tel 2008 Luxembourg
Africa Health Infoway is a vital part of WHO’s eHealth
                        effort
   The Africa Health Infoway (AHI) is
   district-based public health information
   network for African health

   It is an investment in health systems to:
     –   support the collection of sub national
         health data and statistics for analysis,
         dissemination and use to support
         decision making in Health
     –   strengthen capacity of African countries
         to use information in decision making

   This will include:
     –   data for epidemiological research
     –   indicators for monitoring and evaluation
     –   financial and cost reporting for clinic
         management
     –   drug, equipment, supply stock reporting
         for supply management


     eHealth             Med-e-Tel 2008 Luxembourg
Interoperable HIS in countries with data communicated and
                merged across several dimensions
  Across district mediated initiatives                                                      Across geographies

  Surveys
                         Registration         Registration
  • Homes
                             and                 and
  • Facility
                           census               census
  • District
                 Disease              Health
               surveillance           service                  Across programs
                                     statistics



                                                      Census           Malaria



                                                                TB               HIV/AIDS


               Across points of care                                                        Across technologies
Hospital

                     Health clinic           Community
                                               health
                                               worker




           eHealth                      Med-e-Tel 2008 Luxembourg
2

        eLearning easing healthcare HR crisis in Kenya
                                                                                          eLearning can reach goal w/in next
        In Kenya, chronic shortage of             Promising progress since start of          decade versus >200 years w/
            highly skilled nurses                      program in Sep. 2005                 traditional classroom methods

     Enrolled Nurses (ENs) comprise                                                        eLearning vs. traditional methods
     70% of nursing and 45% of the                                                                for upgrading ENs
     health workforce in Kenya
      • First point of contact for                                                    (K) 25
         communities, but are                                                                          22,000 ENs to upgrade
         inadequately skilled to manage
                                                                                         20
         new and re-emerging diseases
         like HIV/AIDS
                                                                                         15
     PPP led by the Nursing Council of
                                                  As of Nov. 2006, 3,265 nurses             • ~2,800 ENs
     Kenya (NCK), the African Medical                                                         upgraded/yr
                                                  upgraded
     and Research Foundation                                                             10 • Cum. cost ~ $2.5M
     (AMREF) and Accenture to                                                               • ~$114/nurse                    •~100 ENs
                                                  27 colleges and schools
     upgrade 22,000 ENs from                                                                                                 upgraded/yr
                                                  participating including AMREF’s                                            •Cum. cost ~ $50M
     ‘enrolled’ to ‘registered’ level                                                     5
                                                  Virtual Nursing School                                                     •~$2,273/nurse
     within 5 years via eLearning
     (distance education through ICT)
                                                  Over 100 computer-equipped
     methods                                                                              0
                                                  training centers set up in 8




                                                                                           05

                                                                                                  07

                                                                                                         09

                                                                                                                11

                                                                                                                       13

                                                                                                                              15

                                                                                                                                     25
                                                  provinces, including remote and




                                                                                         20

                                                                                                20

                                                                                                       20

                                                                                                              20

                                                                                                                     20

                                                                                                                            20

                                                                                                                                   22
                                                  marginalized districts
                                                                                                eLearning
                                                                                                Traditional classroom method

                      Results do not just represent dramatic cost and time improvements
                        over status quo, they are nearly impossible without use of ICT
               eHealth
    Source: Source: WHO, AMREF website   Med-e-Tel 2008 Luxembourg
3
          “On Cue” SMS reminders for TB patients in South Africa
             illustrates potential improvement in compliance...
 “On Cue”: 2002 project in South Africa
sending SMS reminders to TB patients for                       Potential impact of SMS reminders for TB patients
       drug regimen compliance
                                                  % 100                                                           Assuming 99%
    Evidence suggested that TB patients often                          Died      7.4                               compliance           7.4
                                                                                                                  rate with SMS
    do not take their medication simply               90        Unable to be                   Do not have
                                                                                 10.6                               reminders           10.6
    because they forget                                           evaluated                    cell phones
                                                      80                                            3.1                                 3.1
    Most widely used treatment method                         Non-compliant      10.8               7.7                7.7
    Directly Observed Treatment, Short-course         70
                                                                                                Have cell
    (DOTS), involved direct observation of                                                       phones
    patient taking medicine to ensure                 60
    compliance – an HR-intensive method that
    is still not 100% successful                      50


    On Cue Compliance Service designed to             40                                                                                78.9
    improve compliance at lower cost:                                            71.2
                                                                  Compliant
    database of 138 patients taken at pilot           30
    clinic, SMS messages sent out every half
    hour to remind patients to take medicine          20


    As of Jan. 2003, the city of Cape Town            10
    paid $16/patient/yr for SMS reminders
                                                       0
    In pilot, only 1 patient out of 138 was                                 DOTS Treatment    Non-compliant       Non-compliant    DOTS treatment
    non-compliant (99.3% compliance rate)                                     Outcomes       patients with cell   "converted" to    outcomes with
                                                                                                  phones          compliant with   SMS reminders
                                                                                                                      SMS


               eHealth                         Med-e-Tel 2008 Luxembourg
                                                                        Status quo
      Source: Bridges.org, WHOSIS, WHO Global Tuberculosis Control report
                                                                                                            Potential impact
3
          ...which could result in significant TB mortality
                reduction over time in South Africa
                                                                                                                                             Cost is low, cost-
               One benefit: Potentially significant TB mortality reduction                                                             effectiveness ratio favorable

# people
                                           50% of untreated
                                                                                                                                      • ~242,000 DOTS patients/year
    12,000                                patients eventually
                        10,673
                                              die from TB                                                                             • ~$16 per patient per year for
    10,000                                                                                                                              SMS messages
                                                                        72% of South                   99% compliance
      8,000                                                             Africans have                   rate with SMS
                                                                         cell phones
                                                                                                                                      • Country cost of ~$3.9M per
                                                                                                      reminders in pilot
                                                      5,337
                                                                                                                                        year for South Africa
      6,000

                                                                                  3,842                        3,804                  • This equates to ~$1000 per
      4,000
                                                                                                                                        death averted
      2,000
                                                                                                                                      • One TB death equates to ~20
           0                                                                                                                            DALYs
                Non-compliant DOTS            Deaths due to non-           Patient cell phone            Deaths averted
                      patients                   compliance                     coverage
                                                                                                                                      • Thus, cost-effectiveness
               In steady state, this represents an 11% decrease in annual                                                               ratio of the intervention,
               mortality due to TB in South Africa (currently ~34,000/year)                                                             without considering other
                                                                                                                                        benefits, is ~$50/DALY
      Other benefits include increased efficiency due to lower cost of treatment, reduced
     morbidity and building of capacity and infrastructure for other SMS-based interventions
                 eHealth                        Med-e-Tel 2008 Luxembourg
    Source: Bridges.org, WHOSIS, WHO Global Tuberculosis Control report, Disease Control Priorities Project, Journal of Epidemiology and Community Health
4
         MMRS improving healthcare personnel capacity
                       in Kenya...
        Mosoriot Medical Record System (MMRS),                                                                   In resource-constrained Kenya, these
      electronic HIV/AIDS medical records for rural                                                            improvements could translate to dramatic
      clinics in Kenya, improved clinical operations                                                                    benefits for HR capacity

     Improved time efficiency of clinical care
      • Patient visit time reduced by 22%                                                                                  Physicians and Nurses per 1,000
      • Patient waiting time reduced by 38%                                                                      12
                                                                                                                             Nurses
                                                                                                                                                                          11.2

      • Provider-patient time reduced by 58%                                                                     10
                                                                                                                             Physicians
                                                                                                                             Potential total with eHealth
      • Clinical personnel-patient time reduced by 50%
      • Clinical personnel interactions with each other                                                            8

        reduced by 66%
                                                                                                                   6
     Monthly reports for the Kenyan MoH, which                                                                                                                  4.5
     previously took 2 weeks to prepare are now                                                                    4                                  3.1
                                                                                                                           2.6
                                                                                                                           2.6
     routinely prepared in an hour                                                                                                       1.5
                                                                                                                   2       1.3
      • MoH now ranks Mosoriot center first among all
        Kenyan health centers in terms of speed,                                                                   0
        accuracy and completeness of monthly reports                                                                     Kenya          Low        Lower mid Upper mid     High
                                                                                                                                      income        income    income     income
     Lower cost of administration relative to other
     programs                                                                                              Assuming similar results at all other healthcare
        • Cost per MMRS HIV/AIDS patient = $250/yr                                                          facilities in Kenya, transitioning from paper to
        • Cost per PEPFAR HIV/AIDS patient = $1500/yr                                                        electronic medical records could effectively
                                                                                                                    double healthcare HR capacity

                 eHealth                          Med-e-Tel 2008 Luxembourg
    Source: Informatics in Primary Care (2005), Journal of the American Medical Informatics Association (2003), WHO, interview with Bill Tierney
4
      ...and allowing transformation to evidence-based
                    management of health
      MMRS EHR data allowed for                                            Kenya lags others in vital                                        Kenyan vaccine coverage
       proactive care delivery                                             childhood immunizations                                          has declined and stagnated

    Two patterns of care noticed                                                DTP3 vaccine coverage (2005)
                                                                                                                                                   Historical vaccine coverage, Kenya
                                                                    % 100
    on MMRS reports:                                                    90
                                                                        80
                                                                        70                          88       93        92            %    100
                                                                        60       69       75
                                                                        50                                                                 90
      • Cluster of STDs in one
                                                                               Kenya      Low    Lower Upper          High                 80
        village      team of nurses                                                              middle middle                                                                      ?
                                                                                                                                           70
        dispatched to investigate                                                            Income level averages
                                                                                                                                           60
         • Team was able to                                                   Measles vaccine coverage (2005)
                                                                    % 100                                                                  50
            identify and treat                                          90
                                                                        80                                                                 40
            individual that was                                         70
                                                                        60      76        76
                                                                                                    88       92        95
                                                                                                                                           30
            responsible for                                             50
                                                                               Kenya     Low     Lower Upper          High                 20
            spreading disease                                                                    middle middle                                       DTP3
                                                                                                                                           10        Measles
                                                                                            Income level averages                                    HepB3
                                                                                                                                             0
      • Lack of child                                                          HepB3 vaccine coverage (2005)




                                                                                                                                            84

                                                                                                                                            87

                                                                                                                                            90

                                                                                                                                            93

                                                                                                                                            96

                                                                                                                                            99

                                                                                                                                            02

                                                                                                                                            05
        immunizations in another                                    % 100




                                                                                                                                         19

                                                                                                                                         19




                                                                                                                                         19

                                                                                                                                         20
                                                                                                                                         19

                                                                                                                                         19

                                                                                                                                         19




                                                                                                                                         20
                                                                        90
                                                                        80
        village   nurses                                                70                         85        94       90
                                                                                76        79
        dispatched to village, 60                                       60
                                                                        50
                                                                                                                                             Potential for EHR system to
        children immunized for
                    Potential                                                 Kenya      Low     Lower Upper         High                     catalyze increase in vital
                      broader                                                                    middle middle
                                                                                                                                              childhood immunizations
                                                                                            Income level averages
                    implications

                 MMRS has since been expanded to an open source EMR platform, OpenMRS
                 eHealth                          Med-e-Tel 2008 Luxembourg
    Source: Informatics in Primary Care (2005), Journal of the American Medical Informatics Association (2003), WHO, interview with Bill Tierney
Sharing eHealth IP4D (SHIPD)
           Healthcare in the developing world
Vision     is improved by sharing eHealth
           Intellectual Property   SHIPD phase 1 in 6
                                      countries

                                      Cameroon

                                      Kenya

                                      Nigeria

                                      Tanzania

                                      Uganda

                                      Zambia
eHealth   Med-e-Tel 2008 Luxembourg
Disease surveillance: early detection and response of
 emerging diseases can prevent potential epidemic
                      spread...
                                       A general model for disease emergence and spread




           eHealth
Source: WHO World Health Report 2007    Med-e-Tel 2008 Luxembourg
The RF eHealth global initiative
                                   Develop and promote a global eHealth
                                   agenda - strategies to address common
                                   policy, organizational, technical, legal,
                                   financing and sustainability challenges
                                   identified through conference track and
                                   keynote sessions;

                                   Promote the importance of
                                   interoperability and open, standards-
                                   based platforms to donors, countries and
                                   technology companies

                                   Catalyze the formation of new
                                   collaborations around thematic areas and
                                   explore establishment of national
Summer Bellagio series             platforms and a self-sustaining global
   July 14-Aug 8, 2008             eHealth coalition.

 eHealth      Med-e-Tel 2008 Luxembourg
Conclusion
 Promoting a global vision and local insights

 Human resources are key

          People processes and technology

 Partnerships are the model

          AHI - Global Health Infoway

 Major opportunities for ISfTeH and IMIA
eHealth     Med-e-Tel 2008 Luxembourg
THANK YOU
          kwankmy@who.int



eHealth   Med-e-Tel 2008 Luxembourg

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Who Ehealth Strategy

  • 1. WHO eHealth initiatives: addressing priority challenges in health systems S. Yunkap Kwankam Coordinator eHealth World Health Organization, Geneva eHealth Med-e-Tel 2008 Luxembourg
  • 2. Outline of presentation The WHO six point agenda Priority challenges in health systems The Africa Health Infoway The RF global initiative on eHealth Conclusion eHealth Med-e-Tel 2008 Luxembourg
  • 3. WHO has a six point agenda for addressing gaps and improving public health Goal Description Accelerate Bring to life-saving and health-promoting interventions to the poorest of 1 development the poor Fundamental health needs Foster health Improve health security for all especially as it relates to emerging and 2 security epidemic-prone diseases Strengthen health Focus on capacity building, financing, systems for collecting vital 3 systems statistics, and access to appropriate technology including drugs Strategic needs Harness research, Generate authoritative health info, define standards, articulate evidence- 4 info & evidence based policy options & monitor evolving global heath situation Enhance Build partnerships with UN agencies and other international 5 partnerships organizations, donors, civil society and the private sector Operational approaches Improve Continually improve effectiveness of WHO initiatives and staff 6 performance Overall effectiveness of effort measured by impact on women’s health and health in Africa eHealth Med-e-Tel 2008 Luxembourg
  • 4. Health systems in Africa are especially weak Births attended by skilled health personnel1 One-year-olds immunized with DTP32 % 93.3 % 93.4 93.8 88.0 100 80.9 83.5 100 83.3 80 80 68.2 66.1 58.0 60 46.5 50.9 60 40 40 20 20 0 0 AFRO AMRO EMRO EURO SEARO WPRO AFRO AMRO EMRO EURO SEARO WPRO Infant mortality rate3 Maternal mortality ratio4 Deaths per 1K live births Deaths per 100K live births 93.9 100 1000 865.4 80 60.1 800 60 50.0 600 447.6 396.4 40 21.2 400 17.5 12.4 119.6 20 200 33.8 67.8 0 0 AFRO AMRO EMRO EURO SEARO WPRO AFRO AMRO EMRO EURO SEARO WPRO More so than any other region, Africa needs to invest in its health systems eHealth Med-e-Tel 2008 Luxembourg 1. Latest year data between 1998-2006 2. Latest year data between 2004-2005 3. Latest year data 2004 4. Latest year data 2005 Source: WHO Core Health Indicators Database
  • 5. As threats to global public health mount, stronger country- and district-level surveillance and reporting needed Threats to global public health security: • Smallpox Selected emerging and re-emerging infectious diseases: 1996–2004 • Poliomyelitis caused by a wild-type poliovirus • Human influenza caused by a new virus subtype (e.g. avian flu) • SARS Diseases of documented, but not inevitable, international impact, e.g.: • Cholera • Pneumonic plague • Yellow fever • Viral haemorrhagic fevers (Ebola, Lassa and Marburg) • West Nile fever Drug resistance in existing threats: • Tuberculosis • Diarrhoeal diseases • Hospital-acquired infections • Malaria • Meningitis • Respiratory tract infections • Sexually transmitted infections • HIV/AIDS eHealth Source: WHO World Health Report 2007 Med-e-Tel 2008 Luxembourg
  • 6. Other infectious disease outbreaks have incurred massive economic costs to countries This economic cost is particularly difficult for poorer countries to bear eHealth Med-e-Tel 2008 Luxembourg
  • 7. In the past, weak health systems have failed to stem rapid emergence and spread of disease Example: Failure to detect and curb spread of HIV/AIDS early on has led to massive human and financial costs eHealth Source: WHO World Health Report 2007 Med-e-Tel 2008 Luxembourg
  • 8. Sub-Saharan Africa eHealth Med-e-Tel 2008 Luxembourg
  • 9. Focus of health investment should be on improving sector productivity, cannot just increase funding Level of HC spending is a function of Healthcare is an inefficient sector, can GDP/capita regardless of external funding improve productivity through technology 10000 Baumol's cost disease: Labor intensive R2 = 0.94 services, such as health care, face Health spend per capita (2005) productivity lag - cannot substitute capital for labor as efficiently as the general 1000 economy, so the cost of producing them goes up faster than general inflation 100 5 ways to improve productivity: 1) Increase capital per worker 10 2) Improved technology 100 1000 10000 100000 3) Increased labor skill GDP PPP per capita (2005) 4) Better management Source: Nicholas C. Petris Center on Health Care Markets & Consumer Welfare (UC Berkeley), WHO, A Handbook of Cultural 5) Economies of scale as output rises Economics (James Heilbrun) The most effective way to improve productivity is to improve health systems eHealth Med-e-Tel 2008 Luxembourg
  • 10. Effectiveness of health spending widely variable Health outcomes not tightly linked to income level Log GDP/Capita (PPP) vs Childhood (<5) Mortality 300 Childhood (<5) Mortality (per 1000) 250 200 Rwanda Cote d'Ivoire Countries with similar profiles with 150 very different health outcomes Togo Kenya 100 R2 = 0.60 50 0 100 1000 10000 100000 GDP PPP per capita (2005) Variation in health outcomes highlights considerable room for improvement of inefficient and ineffective health systems Source: WHO eHealth Med-e-Tel 2008 Luxembourg
  • 11. Countries with a critical shortage of health service providers (doctors, nurses and midwives) eHealth Med-e-Tel 2008 Luxembourg
  • 12. Distribution of health workers by level of health expenditure and burden of disease, by WHO region eHealth Med-e-Tel 2008 Luxembourg
  • 13. Challenges of scaling the health workforce in Africa Assuming 20 years to scale up workforce Need to train 2.8 million (140 thousand/year) 77 thousand trained/country 3,800 workers per year for 20 years 10 workers per day! Current estimates of training output for Africa range from 10% to 30% of what's needed Costs of scale-up – training and salaries – adds about $10/capita minimum to health spending by year 2025. eHealth Med-e-Tel 2008 Luxembourg
  • 14. Africa Health Infoway is a vital part of WHO’s eHealth effort The Africa Health Infoway (AHI) is district-based public health information network for African health It is an investment in health systems to: – support the collection of sub national health data and statistics for analysis, dissemination and use to support decision making in Health – strengthen capacity of African countries to use information in decision making This will include: – data for epidemiological research – indicators for monitoring and evaluation – financial and cost reporting for clinic management – drug, equipment, supply stock reporting for supply management eHealth Med-e-Tel 2008 Luxembourg
  • 15. Interoperable HIS in countries with data communicated and merged across several dimensions Across district mediated initiatives Across geographies Surveys Registration Registration • Homes and and • Facility census census • District Disease Health surveillance service Across programs statistics Census Malaria TB HIV/AIDS Across points of care Across technologies Hospital Health clinic Community health worker eHealth Med-e-Tel 2008 Luxembourg
  • 16. 2 eLearning easing healthcare HR crisis in Kenya eLearning can reach goal w/in next In Kenya, chronic shortage of Promising progress since start of decade versus >200 years w/ highly skilled nurses program in Sep. 2005 traditional classroom methods Enrolled Nurses (ENs) comprise eLearning vs. traditional methods 70% of nursing and 45% of the for upgrading ENs health workforce in Kenya • First point of contact for (K) 25 communities, but are 22,000 ENs to upgrade inadequately skilled to manage 20 new and re-emerging diseases like HIV/AIDS 15 PPP led by the Nursing Council of As of Nov. 2006, 3,265 nurses • ~2,800 ENs Kenya (NCK), the African Medical upgraded/yr upgraded and Research Foundation 10 • Cum. cost ~ $2.5M (AMREF) and Accenture to • ~$114/nurse •~100 ENs 27 colleges and schools upgrade 22,000 ENs from upgraded/yr participating including AMREF’s •Cum. cost ~ $50M ‘enrolled’ to ‘registered’ level 5 Virtual Nursing School •~$2,273/nurse within 5 years via eLearning (distance education through ICT) Over 100 computer-equipped methods 0 training centers set up in 8 05 07 09 11 13 15 25 provinces, including remote and 20 20 20 20 20 20 22 marginalized districts eLearning Traditional classroom method Results do not just represent dramatic cost and time improvements over status quo, they are nearly impossible without use of ICT eHealth Source: Source: WHO, AMREF website Med-e-Tel 2008 Luxembourg
  • 17. 3 “On Cue” SMS reminders for TB patients in South Africa illustrates potential improvement in compliance... “On Cue”: 2002 project in South Africa sending SMS reminders to TB patients for Potential impact of SMS reminders for TB patients drug regimen compliance % 100 Assuming 99% Evidence suggested that TB patients often Died 7.4 compliance 7.4 rate with SMS do not take their medication simply 90 Unable to be Do not have 10.6 reminders 10.6 because they forget evaluated cell phones 80 3.1 3.1 Most widely used treatment method Non-compliant 10.8 7.7 7.7 Directly Observed Treatment, Short-course 70 Have cell (DOTS), involved direct observation of phones patient taking medicine to ensure 60 compliance – an HR-intensive method that is still not 100% successful 50 On Cue Compliance Service designed to 40 78.9 improve compliance at lower cost: 71.2 Compliant database of 138 patients taken at pilot 30 clinic, SMS messages sent out every half hour to remind patients to take medicine 20 As of Jan. 2003, the city of Cape Town 10 paid $16/patient/yr for SMS reminders 0 In pilot, only 1 patient out of 138 was DOTS Treatment Non-compliant Non-compliant DOTS treatment non-compliant (99.3% compliance rate) Outcomes patients with cell "converted" to outcomes with phones compliant with SMS reminders SMS eHealth Med-e-Tel 2008 Luxembourg Status quo Source: Bridges.org, WHOSIS, WHO Global Tuberculosis Control report Potential impact
  • 18. 3 ...which could result in significant TB mortality reduction over time in South Africa Cost is low, cost- One benefit: Potentially significant TB mortality reduction effectiveness ratio favorable # people 50% of untreated • ~242,000 DOTS patients/year 12,000 patients eventually 10,673 die from TB • ~$16 per patient per year for 10,000 SMS messages 72% of South 99% compliance 8,000 Africans have rate with SMS cell phones • Country cost of ~$3.9M per reminders in pilot 5,337 year for South Africa 6,000 3,842 3,804 • This equates to ~$1000 per 4,000 death averted 2,000 • One TB death equates to ~20 0 DALYs Non-compliant DOTS Deaths due to non- Patient cell phone Deaths averted patients compliance coverage • Thus, cost-effectiveness In steady state, this represents an 11% decrease in annual ratio of the intervention, mortality due to TB in South Africa (currently ~34,000/year) without considering other benefits, is ~$50/DALY Other benefits include increased efficiency due to lower cost of treatment, reduced morbidity and building of capacity and infrastructure for other SMS-based interventions eHealth Med-e-Tel 2008 Luxembourg Source: Bridges.org, WHOSIS, WHO Global Tuberculosis Control report, Disease Control Priorities Project, Journal of Epidemiology and Community Health
  • 19. 4 MMRS improving healthcare personnel capacity in Kenya... Mosoriot Medical Record System (MMRS), In resource-constrained Kenya, these electronic HIV/AIDS medical records for rural improvements could translate to dramatic clinics in Kenya, improved clinical operations benefits for HR capacity Improved time efficiency of clinical care • Patient visit time reduced by 22% Physicians and Nurses per 1,000 • Patient waiting time reduced by 38% 12 Nurses 11.2 • Provider-patient time reduced by 58% 10 Physicians Potential total with eHealth • Clinical personnel-patient time reduced by 50% • Clinical personnel interactions with each other 8 reduced by 66% 6 Monthly reports for the Kenyan MoH, which 4.5 previously took 2 weeks to prepare are now 4 3.1 2.6 2.6 routinely prepared in an hour 1.5 2 1.3 • MoH now ranks Mosoriot center first among all Kenyan health centers in terms of speed, 0 accuracy and completeness of monthly reports Kenya Low Lower mid Upper mid High income income income income Lower cost of administration relative to other programs Assuming similar results at all other healthcare • Cost per MMRS HIV/AIDS patient = $250/yr facilities in Kenya, transitioning from paper to • Cost per PEPFAR HIV/AIDS patient = $1500/yr electronic medical records could effectively double healthcare HR capacity eHealth Med-e-Tel 2008 Luxembourg Source: Informatics in Primary Care (2005), Journal of the American Medical Informatics Association (2003), WHO, interview with Bill Tierney
  • 20. 4 ...and allowing transformation to evidence-based management of health MMRS EHR data allowed for Kenya lags others in vital Kenyan vaccine coverage proactive care delivery childhood immunizations has declined and stagnated Two patterns of care noticed DTP3 vaccine coverage (2005) Historical vaccine coverage, Kenya % 100 on MMRS reports: 90 80 70 88 93 92 % 100 60 69 75 50 90 • Cluster of STDs in one Kenya Low Lower Upper High 80 village team of nurses middle middle ? 70 dispatched to investigate Income level averages 60 • Team was able to Measles vaccine coverage (2005) % 100 50 identify and treat 90 80 40 individual that was 70 60 76 76 88 92 95 30 responsible for 50 Kenya Low Lower Upper High 20 spreading disease middle middle DTP3 10 Measles Income level averages HepB3 0 • Lack of child HepB3 vaccine coverage (2005) 84 87 90 93 96 99 02 05 immunizations in another % 100 19 19 19 20 19 19 19 20 90 80 village nurses 70 85 94 90 76 79 dispatched to village, 60 60 50 Potential for EHR system to children immunized for Potential Kenya Low Lower Upper High catalyze increase in vital broader middle middle childhood immunizations Income level averages implications MMRS has since been expanded to an open source EMR platform, OpenMRS eHealth Med-e-Tel 2008 Luxembourg Source: Informatics in Primary Care (2005), Journal of the American Medical Informatics Association (2003), WHO, interview with Bill Tierney
  • 21. Sharing eHealth IP4D (SHIPD) Healthcare in the developing world Vision is improved by sharing eHealth Intellectual Property SHIPD phase 1 in 6 countries Cameroon Kenya Nigeria Tanzania Uganda Zambia eHealth Med-e-Tel 2008 Luxembourg
  • 22. Disease surveillance: early detection and response of emerging diseases can prevent potential epidemic spread... A general model for disease emergence and spread eHealth Source: WHO World Health Report 2007 Med-e-Tel 2008 Luxembourg
  • 23. The RF eHealth global initiative Develop and promote a global eHealth agenda - strategies to address common policy, organizational, technical, legal, financing and sustainability challenges identified through conference track and keynote sessions; Promote the importance of interoperability and open, standards- based platforms to donors, countries and technology companies Catalyze the formation of new collaborations around thematic areas and explore establishment of national Summer Bellagio series platforms and a self-sustaining global July 14-Aug 8, 2008 eHealth coalition. eHealth Med-e-Tel 2008 Luxembourg
  • 24. Conclusion Promoting a global vision and local insights Human resources are key People processes and technology Partnerships are the model AHI - Global Health Infoway Major opportunities for ISfTeH and IMIA eHealth Med-e-Tel 2008 Luxembourg
  • 25. THANK YOU kwankmy@who.int eHealth Med-e-Tel 2008 Luxembourg