Abbott Laboratories · NYSE:ABT

Abbott Laboratories — Investor Presentation (October 2024)

41 slides from Abbott Laboratories's investor presentation, October 2024

  1. Slide 1: Masterclass 4: Digitalization and the role of innovation

    MASTERCLASS 4 Réfléchir à une autre photo et mise en page Digitalization and the role of innovation Prof. John Piette University of Michigan School of Public Health GLO2138676-3 GLO2138676-3 – June – June 20222022 1

  2. Slide 2: Proposed outline

    Proposed outline 1 2 3 4 5 What is “mobile Why does Some important Cutting-edge Final health”? it matter? trials issues thoughts GLO2138676-3 – June 2022 2

  3. Slide 3: Center for Managing Chronic Disease, University of Michigan

    CENTER FOR MANAGING CHRONIC DISEASE UNIVERSITY OF MICHIGAN Research & Program Areas Tools & Resources Publications | CMCD Affiliates ARCH THAT EMPOWER TIENTS A iy 2 adie , _-

  4. Slide 4: What is the center for managing chronic disease?

    What is the center for managing chronic disease? Research & program areas Chronic physical and mental health conditions Mobile technologies for improving self-care support Populations in the US and Internationally GLO2138676-3 – June 2022 4

  5. Slide 5: Mobile technologies for improving self-care support

    Mobile technologies for improving self-care support Special devices Automated calls (IVR) Text messages (SMS) Smartphones GLO2138676-3 – June 2022 5

  6. Slide 6: Why does mobile health matter? Reason #1: Everybody's got a phone

    Why does mobile health matter? Reason #1: Everybody’s got a phone GLO2138676-3 – June 2022 66

  7. Slide 7: Number of cell phones per 100,000 population

    Number of cell phones (in thousands) per 100,000 population1 Developed economies Emerging economies 140 120 No. of cell phones (000’s) 100 80 60 40 20 0 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Year ITU: International Telecommunication Union 1. Measuring the Informa

  8. Slide 8: GLO2138676-3 – – June

    GLO2138676-3––June GLO2138676-3 June2022 2022 88

  9. Slide 9: ITU world telecommunication ICT indicators database

    International Telecommunication Union world telecommunication/ Information and Communication Technologies indicators database 2005 (2,205M phones)2 2019 (8305M phones)2 1,649M 992M 1,213M 6,656M Developed Economies Emerging Economies 2. ITU: ITU-D ICT Statistics Individuals using the Internet 2005-2

  10. Slide 10: GLO2138676-3 – – June

    GLO2138676-3––June GLO2138676-3 June2022 10 2022 10

  11. Slide 11: Even the most vulnerable populations have phones

    Even the most vulnerable populations have phones3 % of users People with psychosis General population 90 60 30 0 2007 2008 2009 2010 2011 2012 2013 2014 2015 Year 3 . J. Firth, J. Cotter et al: Mobile Phone Ownership and Endorsement of “mHealth” Among People With Psychosis: A Meta-analysis of Cross-

  12. Slide 12: Reason #2: Not enough time during face-to-face encounters

    Why does mobile health matter? Reason #2: There’s not enough time during face-to-face encounters4,5 4. Yarnall, Kimberly SH, et al: Primary care: is there enough time for prevention? American journal of public health 93(4):635-641, May 2003, [Accessed 02 September 2020], https://www.researchgate.net

  13. Slide 13: Reason #3: mHealth interventions (can) be effective

    Why does mobile health matter? Reason #3: mHealth interventions (can) be effective GLO2138676-3 – June 2022 13 13

  14. Slide 14: Monitoring

    Monitoring GLO2138676-3 – June 2022 14 14

  15. Slide 15: Concordance of SMS-reported home urine protein test results

    Concordance of patients’ SMS-reported home urine protein test results with same day in-clinic tests6. `` Same-day clinic urinalysis results SMS home urinalysis results Negative / Trace 1+ 2+ 3+ Negative/Trace 67 1+ 6 2+ 5 1 ≥3+ 27 6. Chia-shi Wang & al, Text Messaging for Disease Monitoring in Child

  16. Slide 16: Concordance of SMS-reported home urine protein test results

    Concordance of patients’ SMS-reported home urine protein test results with same day in-clinic tests6. Same-day clinic urinalysis results SMS home urinalysis results Negative / Trace 1+ 2+ 3+ Negative/Trace 67 2 1 4 1+ 4 6 4 2 2+ 2 0 5 10 ≥3+ 0 1 0 27 6. Chia-shi Wang & al, Text Messaging for Disease

  17. Slide 17: Concordance of SMS-reported home urine protein test results

    Concordance of patients’ SMS-reported home urine protein test results with same day in-clinic tests6. Same-day clinic urinalysis results SMS home urinalysis results Negative / Trace 1+ 2+ 3+ Negative/Trace 67 2 1 4 1+ 4 6 4 2 2+ 2 0 5 10 ≥3+ 0 1 0 27 6. Chia-shi Wang & al, Text Messaging for Disease

  18. Slide 18: Medication use

    Medication use GLO2138676-3 – June 2022 18 18

  19. Slide 19: Impact of SMS in care of patients with HIV in Kenya

    Impact of SMS in care of patients with HIV in Kenya7 SMS Control 70% 60% 50% 40% 30% 20% 10% 0% Adherence > 95% Viral supression 7. Lester RT, et al: Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya. The Lancet 376(9755): 1838-45, November 2010, [Accesse

  20. Slide 20: Anti-hypertensive medication use in the past month

    Anti-hypertensive medication use in the past month(%)8 Net-difference: 25,5% P* <0.001% 36.3 9.4 4.2 2.8 Intervention (n=1,095) Control (n=991) 8. Tian et al.: A cluster randomized controlled trial of a simplified multifaceted management program for individuals at high cardiovascular risk (SImCard T

  21. Slide 21: Text messaging for medication adherence: a meta-analysis

    Mobile telephone text messaging for medication adherence in chronic disease a meta-analysis9 10.0 9.0 8.0 Favours Text Message Odds Ratio (95% Cl) 7.0 6.0 5.0 4.0 3.0 2.0 1.0 Favours control 0.0 Overall Maduka and Strandbygaar Mbuagbaw Pop-Eleches Lv et al, 2012 et al, 2004 Neni, 2013 Hardy et al, a

  22. Slide 22: Text messaging for medication adherence: a meta-analysis

    Mobile telephone text messaging for medication adherence in chronic disease a meta-analysis9 10.0 9.0 “Mobile 8.0 phone text messaging approximately doubles the odds of medication adherence. This increase Favours Text Message Odds Ratio (95% Cl) 7.0 translates into adherence rates improving from 50%

  23. Slide 23: Lifestyle behaviors

    Lifestyle behaviors GLO2138676. GLO2138676-3 – June 2022 23 September2020 23 GLO2138676-3 – June 2022

  24. Slide 24: Txt2Stop: Texting doubles smoking cessation rates

    Txt2Stop: Texting doubles smoking cessation rates10 Intervention Control Relative risk p value (SE) (SE) (95% CI) Primary outcome Biochemically verified abstinence at 6 months 10·7% (0·6) 4·9% (0·4) 2·20 (1·80–2·68) <0·0001 Secondary outcomes (4 weeks) Self-reported no smoking in past 7 days 28·7% (

  25. Slide 25: Lifestyle-focused text messaging in coronary heart disease

    Effect of lifestyle-focused text messaging on risk factor modification in patients with coronary heart disease: A randomized clinical trial11 Mean (95% CI) Mean difference Parameter Intervention Control pValue (95% CI) LDL-C, mg/dL 79 (76 to 82) 84 (81 to 87) −5 (−9 to 0) .04 Systolic blood 128.2 (1

  26. Slide 26: Suicide prevention using self-guided digital interventions

    Suicide prevention using self-guided digital interventions: A systematic review and meta-analysis of randomized controlled trials12 1.50 Favours intervention 0.75 0.00 Favours control -0.75 -1.50 De Jaegere et al (2019) Hetrick et al (2017) Hill and Pettit (2019) Tighe et al (2017) van Spijker et al

  27. Slide 27: Suicide prevention using self-guided digital interventions

    Suicide prevention using self-guided digital interventions: A systematic review and meta-analysis of randomized controlled trials12 1.50 Favours intervention 0.75 “Our findings suggest that digital interventions should be promoted and disseminated widely, especially where there is a lack of, or mini

  28. Slide 28: The CarePartner program

    The carepartner program GLO2138676-3 – June 2022 28 28

  29. Slide 29: The CarePartner Program

    The CarePartner Program 2 Clinic receives alerts about the patients’ worrisome signs and symptoms 1 3 Family member or friend receives an email, IVR call, or Patient receives a call from the SMS with updates on the system and reports information patient’s status regarding their health. Based on the

  30. Slide 30: A randomized comparative effectiveness trial of patients with heart failure

    A randomized comparative effectiveness trial of patients with heart failure GLO2138676-3 – June 2022 30 30

  31. Slide 31: IVR-reported medication adherence

    IVR-Reported medication adherence13 Patients without CarePartner feedback Patients with CarePartner feedback 0.90 0.90 0.85 0.85 Percent Percent 0.80 0.80 0.75 0.75 0.70 0.70 0 13 26 39 52 0 13 26 39 52 Week since enrollment Week since enrollment 13. Piette, John D., Dana Striplin, Nicolle Marinec,

  32. Slide 32: IVR-reported shortness of breath

    IVR-Reported shortness of breath14 Patients without CarePartner feedback Patients with CarePartner feedback 0.70 0.70 Very good or excellent health Very good or excellent health 0.65 0.65 0.60 0.60 0.55 0.55 0.50 0.50 0.45 0.45 0.40 0.40 0 13 26 39 52 0 13 26 39 52 Week since enrollment Week since e

  33. Slide 33: CarePartner intervention decreases rehospitalization rates

    CarePartner intervention decreases rehospitalization rates15 Time to first rehospitalization (all pts) Time to first rehospitalization or ED visit 1.0 HR: 1.65 (1.02, 2,68) P=.041 1.00 HR: 1.50 (1.02, 2,21) P=.038 Event free probability 0.95 Event free probability 0.9 0.90 0.85 0.8 0.80 0.75 0.7 0.7

  34. Slide 34: Caregivers felt less burden

    Caregivers felt less burden GLO2138676-3 – June 2022 34 34

  35. Slide 35: What is Cognitive Behavioral Therapy for Chronic Pain?

    What is Cognitive Behavioral Therapy for Chronic Pain? • Skill-based treatment • Informed by the biopsychosocial model • Effective16,17 • Low risk • Consistent with care for other chronic condition 16. Hoffman, Benson. M, Papas, Rebecca. K et al: Meta-analysis of psychological interventions for chro

  36. Slide 36: IVR-based self management for chronic back pain

    Interactive voice response–based self management for chronic back pain. The Cooperative Pain Education and Self-management noninferiority randomized trial Face to face CBT IVR CBT 10 weekly sessions 10 weekly sessions 8 self-management skills 8 self-management skills Therapist teaching Handbook/IVR

  37. Slide 37: What is a good doctor like?

    What is a good doctor like? Good doctors make their Good doctors adapt assessments relevant to treatment to each patient’s each patient’s needs needs GLO2138676-3 – June 2022 37

  38. Slide 38: Two brief videos on limitations of mobile health and how AI can help

    Two brief videos to illustrate a limitation of these current mobile health approaches and how AI can help https://youtu.be/NR32ULxbjYc. https://youtu.be/oyXolsifjc0 [1:45-2:45] GLO2138676-3 – June 2022 38

  39. Slide 39: A review of reviews!!

    A review of reviews!! GLO2138676-3 – June 2022 39

  40. Slide 40: Disclaimer

    Disclaimer This presentation is offered for educational purposes only, intended to serve as continuing medical education for health care professionals. The content of the presentation represents the views and opinions of the original creators of such content and does not necessarily represent the vi

  41. Slide 41: GLO2138676-3 – June 2022

    GLO2138676-3 – June 2022 41

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