Text Messaging - Benefits for Patient and Health Provider

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    Text Messaging - Benefits for Patient and Health Provider - Presentation Transcript

    1. Text Messaging Benefits for Patient & Health Provider
    2. Did Not Attends (DNA’s)
      • Wasted or underutilised resources
      • Patients don’t receive care that may improve quality of life
      • May present later with worse problems requiring more resources than previously
    3. Efficiency & cost
      • More cell phones than people in NZ
      • Text costs approx half a stamp or call to mobile
      • Low human resource cost as many done at once
    4. Text messaging pilots
      • Two District Health Boards – Counties Manukau & Bay of Plenty
      • Goal was to reduce DNAs
      • Analysis of DNA rates before & after texting
      • Analysis included ethnicity in Counties Manukau
    5. Counties Manukau DHB
      • DNA rate constant at 12% for some time
      • Research showed “forgot appointment” major reason given for DNA
      • Time gap between other reminder methods – letters & phone calls – and appointment
    6. Counties Manukau DHB
      • Two texts sent
      • 1st text – day before Outbound Callers attempt contact
      • 2nd text – as close as possible to appointment
    7. Counties Manukau DHB
      • Extracts from Patient Management System uploaded to Dialhog website
      • 1st text – goal to reduce need for reminder phone call & therefore reduce expenses
      • 2nd text – different timings for morning & afternoon appointments to increase immediacy
    8. Counties Manukau DHB
      • Text messages generally from family & friends so an opportunity & potential hazard
      • Text should be personalised with information relevant to the particular patient
      • Text replies routed as emails to relevant booking area for follow up
      • Content easily changed e.g. H1N1
    9. Counties Manukau DHB
      • Manukau SuperClinic rollout started March 07 and was completed mid June 07
      • DNA rate in initial area dropped from 13% to 11% (15% reduction)
      • 40% of patient records had cellphone numbers recorded in any of three phone fields
    10. Counties Manukau DHB Results
    11. Counties Manukau DHB Analysis of Results
      • 17% reduction in overall DNA rate all from 50% of patients who received texts
      • Maori DNA rate reduction 10% above average
      • Patient reminded by text 33% less likely to DNA
      • 6500 patients attended who wouldn’t have
    12. Bay of Plenty DHB
      • Utilise most of the Counties Manukau DHB strategy
      • Change to reflect difference in their Call Centre system
      • 1 st text only to unconfirmed patients
      • No significant changes to text content
    13. Bay of Plenty DHB
      • Pilot started in November 08 ran till end Mar 09
      • Clinics added during period, particularly March
      • Successful results have meant subsequent expansion of program
    14. Bay of Plenty DHB
      • Only clinics in texting program at end Mar available to work with for analysis
      • Two comparisons decided on
      • Jan – Mar 08 compared with Jan – Mar 09
      • Mar 08 compared with Mar 09
    15. Bay of Plenty DHB Results Clinics using texts at Mar 09 Clinics NOT using texts at Mar 09 Jan 08 - Mar 08 11.19% 5.72% Jan 09 - Mar 09 9.57% 6.27% Change -14.48% + 9.62% Mar 08 12.03% 5.76% Mar 09 8.85% 6.47% Change -26.4% + 12.3%
    16. Bay of Plenty DHB analysis of results
      • 44% of patient records with cell phones. 38% received text
      • Patient texted 38% to 69% less likely to DNA
      • In Mar 09 there were 510 DNAs from 5764 appointments in texted clinics
      • Would have been 693 DNAs based on Mar 08
    17. Return on investment
      • Appts texted clinics Mar 09 5254
      • DNA’s 510
      • Expected DNA’s (Mar 08%) 708
      • Extra attendees 198
      • Value @ $100 per appointment $20,000
      • Texting cost in March $1200
      • $1 spent on texting = $16 savings
    18. Patient Acceptance “Recently you recvd a txt reminder about appt at {LOCATION} Hospital. Plse text bk YES if you liked reminder txt, NO if you didn't. Any other comments. Thanx “ Texts sent Response rate Approve Disapprove Counties Manukau DHB 361 46% 99% 1% Bay of Plenty DHB 160 55% 99% 1%
    19. Patient Acceptance BOP Comments
      • “ Yes thanks” or “Yes thank you” (5 times)
      • “ Yes it’s a great idea” (4 times)
      • “ Yes it was good” (2 times)
      • “ Yes! What a great service. The reminder text was much appreciated. Thank you!!”
      • “ Yes very good. Makes life easy”
      • “ Yes I thought it was very helpful we all lead busy lives and a little reminder never hurts”
      • “ Yes excellent service thanks”
    20. Patient Acceptance Survey Analysis
      • 50% response = high level of engagement
      • Surveys confirm each other & very high level of patient acceptance
      • Patients see texting as valuable self-management tool
      • Patients see texting as the friendly personal face of the Health Provider
    21. Information Security
      • All communication & transmission encrypted using https
      • All data stored in encrypted databases in physically highly secure premises
      • Different views on text content, privacy requirements and retention periods
    22. Different text content choices
      • No names other identifiers or replies
      • *SCREENING APPT REMINDER* - {Appt Date} @ {Appt Time} at {Location}. To change, ph 0800 000 000. PLEASE DO NOT REPLY TO THIS TXT.
      • Names NHI Numbers & replies
      • {Title} {LastName} {NHI-NO} reminding you of appt at {LOCATION} {APPT-TIME} {APPT-DAY} {APPT-DATE}. Plse reply or ph 222 1234 if you cannot attend
    23. Letter / text security comparison
      • Letters & texts can go to a wrong or an old address
      • Letters & texts can be read by others if left unattended
      • Texts may be marginally more secure as they do not generally get delivered to a shared space
    24. Scalability
      • Some scalability issues with database searches encountered as service expanded at Counties Manukau
      • User setting allows time period to be specified
      • Other issues addressed by providing separate database and functional areas for some service areas
    25. Current customers include
      • Counties Manukau DHB
      • Bay of Plenty DHB
      • Southland DHB
      • Capital & Coast DHB
      • Waitemata DHB
      • BreastScreen Auckland
      • BreastScreen South
      • BreastScreen Counties Manukau
      • BreastScreen Waitemata/ Northland
    26. Other health users
      • Text reminders work as effectively for small as well as large providers
      • Physiotherapists
      • PHOs
      • Addiction helpline
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    Chris Lewis
    Dialhog Ltd
    www.dialhog.com
    (P46, 1/ more

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