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Promoting Adherence to Influenza Vaccination Recommendations in Pediatric Practice

tetano

Editor, Senior Moderator
J Prim Care Community Health. 2019 Jan-Dec;10:2150132719853061. doi: 10.1177/2150132719853061.
[h=1]Promoting Adherence to Influenza Vaccination Recommendations in Pediatric Practice.[/h] Werk LN[SUP]1,[/SUP][SUP]2[/SUP], Diaz MC[SUP]3,[/SUP][SUP]4[/SUP], Cadilla A[SUP]1,[/SUP][SUP]2[/SUP], Franciosi JP[SUP]1,[/SUP][SUP]2[/SUP], Hossain MJ[SUP]5,[/SUP][SUP]6[/SUP].
[h=3]Author information[/h]

[h=3]Abstract[/h] [h=4]OBJECTIVES:[/h] In the United States, nonadherence to seasonal influenza vaccination guidelines for children and adolescents is common and results in unnecessary morbidity and mortality. We conducted a quality improvement project to improve vaccination rates and test effects of 2 interventions on vaccination guidelines adherence.
[h=4]METHODS:[/h] We conducted a cluster randomized control trial with 11 primary care practices (PRACTICE) that provided care for 11 293 individual children and adolescents in a children's health care system from September 2015 through April 2016. Practice sites (with their clinicians) were randomly assigned to 4 arms (no intervention [Control], computerized clinical decision support system [CCDSS], web-based training [WBT], or CCDSS and WBT [BOTH]).
[h=4]RESULTS:[/h] During the study, 55.8% of children and adolescents received influenza vaccination, which improved modestly during the study period compared with the prior influenza season ( P = .009). Actual adherence to recommendations, including dosing, timeliness, and avoidance of missed opportunities, was 46.4% of patients cared for by the PRACTICE. The WBT was most effective in promoting adherence with vaccination recommendations with an estimated average odds ratio = 1.26, P < .05, to compare between preintervention and intervention periods. Over the influenza season, there was a significantly increasing trend in odds ratio in the WBT arm ( P < .05). Encouraging process improvements and providing longitudinal feedback on monthly rate of vaccination sparked some practice changes but limited impact on outcomes.
[h=4]CONCLUSIONS:[/h] Web-based training at the start of influenza season with monthly reports of adherence can improve correct dose and timing of influenza vaccination with modest impact on overall vaccination rate.


[h=4]KEYWORDS:[/h] computerized clinical decision support; influenza vaccination; practice variation; quasi-experimental design; web-based training

PMID: 31184255 DOI: 10.1177/2150132719853061
 
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