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Research ArticleOriginal Research

Randomized Controlled Trial of Text Message Reminders for Increasing Influenza Vaccination

Annette K. Regan, Lauren Bloomfield, Ian Peters and Paul V. Effler
The Annals of Family Medicine November 2017, 15 (6) 507-514; DOI: https://doi.org/10.1370/afm.2120
Annette K. Regan
1School of Public Health, Curtin University, Perth, Western Australia
2Wesfarmers Centre for Vaccines and Infectious Diseases, Telethon Kids Institute, Subiaco, Western Australia
PhD, MPH
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  • For correspondence: Annette.Regan@curtin.edu.au
Lauren Bloomfield
3Communicable Disease Control Directorate, Department of Health Western Australia, Perth, Western Australia
4School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia
DrPH, MPH
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Ian Peters
5Datavation Pty Ltd, Western Australia
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Paul V. Effler
3Communicable Disease Control Directorate, Department of Health Western Australia, Perth, Western Australia
6School of Pathology and Laboratory Medicine, University of Western Australia, Crawley, Western Australia
MD, MPH
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    Figure 1

    Participation in a trial of short message service reminders for seasonal influenza vaccination among high-risk groups, Western Australia, 2016.

    SMS=short message service.

  • Figure 2
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    Figure 2

    Time (in days) between short message service reminder to seasonal influenza vaccination, Western Australia, 2016.

    SMS=short message service.

Tables

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    Table 1

    Baseline Characteristics of Patients Participating in a Trial of Short Message Service Reminders for Seasonal Influenza Vaccination, Western Australia, 2016

    CharacteristicIntervention Group No. (%)Control Group No. (%)P Value
    Total6,1776,177
    Sex
     Male2,927 (47.4)2,921 (47.3)
     Female3,241 (52.5)3,249 (52.6)
     Not provided9 (0.1)7 (0.1).90
    Age group, y
     <51,530 (24.8)1,487 (24.1)
     5–17403 (6.5)380 (6.1)
     18–642,463 (39.9)2,478 (40.1)
     ≥651,781 (28.8)1,832 (29.7).20
    Race
     Indigenous480 (7.8)517 (8.4)
     Non-Indigenous2,979 (48.2)3,004 (48.6)
     Not indicated in patient record2,718 (44.0)2,656 (43.0).34
    Preexisting chronic medical conditions
     Diabetes874 (14.1)876 (14.2)
     Chronic heart disease387 (6.2)421 (6.8)
     Asthma1,935 (31.3)1,875 (30.3)
     Chronic obstructive pulmonary disease179 (2.9)169 (2.7)
     Impaired immunity148 (2.4)132 (2.1).58
    Pregnanta
     Yes124 (14.9)115 (13.3)
     No709 (85.1)747 (86.7).47
    Record of influenza vaccine with practice
     Yes1,998 (32.3)2,011 (32.6)
     No4,179 (67.7)4,166 (67.4).80
    • ↵a Among reproductive women aged 19 to 44 years (n = 833 in intervention group; n = 862 in control group).

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    Table 2

    Effect of Short Message Service Reminders in Promoting Seasonal Influenza Vaccination, Western Australia, 2016

    CharacteristicIntervention GroupaControl GroupAbsolute Risk Difference %RR (95% CI)NNTb
    Total No.Vaccinated No. (%)Total No.Vaccinated No. (%)
    Overall6,177769 (12.4)6,177548 (8.9)+3.51.39 (1.26–1.54)c29
    Age-group, y
     <51,487131 (8.8)1,53055 (3.6)+5.22.43 (1.79–3.29)c19
     5–1738027 (7.1)40333 (8.2)−1.10.86 (0.53–1.38)...
     18–642,478272 (9.5)2,463179 (7.3)+2.21.31 (1.09–1.58)c45
     ≥651,832376 (20.5)1,781281 (15.8)+4.71.26 (1.10–1.45)c21
    Indigenous status
     Indigenous51728 (5.4)48022 (4.6)+0.81.04 (0.61–1.79)...
     Non-Indigenous3,004356 (11.9)2,979257 (8.6)+3.31.34 (1.16–1.56)c30
    Sex
     Male2,921380 (13.0)2,927254 (8.7)+4.31.47 (1.27–1.71)c23
     Female3,249389 (12.0)3,241294 (9.1)+2.91.33 (1.15–1.53)c35
    Preexisting chronic medical conditionsd
     Yes3,107400 (12.9)3,138286 (9.1)+3.81.40 (1.22–1.61)c26
     No3,070369 (12.0)3,039262 (8.6)+3.41.38 (1.19–1.60)c29
    Pregnancy statuse
     Yesf11520 (17.4)12424 (19.3)−2.70.90 (0.53–1.54)...
     No74750 (6.7)70936 (5.1)+1.21.32 (0.87–2.00)83
    History of influenza vaccination with practice
     Yes1,998552 (27.6)2,011406 (20.2)+7.41.33 (1.19–1.48)c13
     No4,179217 (5.2)4,166142 (3.4)+1.81.53 (1.25–1.89)c55
    • NNT=number-needed-to-text.

    • ↵a The treatment group received a short message service message reminding them they were eligible for free influenza vaccine and recommending they schedule an appointment for vaccination; the control group received no such message.

    • ↵b NNT defined as the inverse of the absolute risk difference.

    • ↵c Significant at P <.05.

    • ↵d Chronic medical conditions included asthma, diabetes, chronic lung disease, and chronic heart disease.

    • ↵e Pregnancy was assessed in female reproductive-aged (18–44y) patients only.

    • ↵f Because of small cells and issues with convergence in the model, fixed effects for site were not included in these models.

Additional Files

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  • The Article in Brief

    Randomized Controlled Trial of Text Message Reminders for Increasing Influenza Vaccination

    Annette K. Regan , and colleagues

    Background Although seasonal influenza vaccine is recommended for people at high risk of serious infection, they get the vaccine at low rates. This randomized controlled trial in Western Australia investigates the impact of text message reminders for influenza vaccination.

    What This Study Found Text message reminders are a low-cost effective strategy for increasing rates of influenza vaccination. Among 12,354 eligible patients at high risk of serious influenza illness who had a mobile phone number on record in their medical practice, half were randomly assigned to an intervention group, which received a vaccination reminder by text message, while the other half (control group) received no text message reminder. Three months after the messages were sent, 12 percent (n=768) of the intervention group and 9 percent (n=548) of the control group were vaccinated during the study period. For every 29 messages sent, at a cost of $3.48 (USD), one additional high-risk patient was immunized. The greatest effect was observed for children under five years of age, whose parents were more than twice as likely to have their child vaccinated if they received a text reminder. There was no significant effect among pregnant women or Indigenous Australians.

    Implications

    • Several factors could influence the effectiveness of text message reminders including who sends the message, reliability of contact information, content of the message, and when it is sent. The authors call for future research to examine both costs and benefits of large scale text message influenza vaccination reminders for high-risk patients.
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The Annals of Family Medicine: 15 (6)
The Annals of Family Medicine: 15 (6)
Vol. 15, Issue 6
November/December 2017
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Randomized Controlled Trial of Text Message Reminders for Increasing Influenza Vaccination
Annette K. Regan, Lauren Bloomfield, Ian Peters, Paul V. Effler
The Annals of Family Medicine Nov 2017, 15 (6) 507-514; DOI: 10.1370/afm.2120

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Randomized Controlled Trial of Text Message Reminders for Increasing Influenza Vaccination
Annette K. Regan, Lauren Bloomfield, Ian Peters, Paul V. Effler
The Annals of Family Medicine Nov 2017, 15 (6) 507-514; DOI: 10.1370/afm.2120
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