INTRODUCTION: This study assessed the impact of automated telephone reminders on tuberculin skin test returns. METHODS: A total of 701 English-speaking and Spanish-speaking patients of a public health immunization program were randomly assigned to an intervention or a control group. Those in the intervention group received an automated telephone reminder to return for the reading of their skin test. RESULTS:Automated telephone reminders significantly reduced return failures 53% (from 14% to 7%) when the scheduled interval between test administration and reading was three days, but had no impact for a two-day interval. Effectiveness of reminders did not differ significantly by patient age, gender, or language (English versus Spanish). CONCLUSIONS: Results suggest the value of automated reminder calls for intra-appointment intervals as short as three days.
RCT Entities:
INTRODUCTION: This study assessed the impact of automated telephone reminders on tuberculin skin test returns. METHODS: A total of 701 English-speaking and Spanish-speaking patients of a public health immunization program were randomly assigned to an intervention or a control group. Those in the intervention group received an automated telephone reminder to return for the reading of their skin test. RESULTS: Automated telephone reminders significantly reduced return failures 53% (from 14% to 7%) when the scheduled interval between test administration and reading was three days, but had no impact for a two-day interval. Effectiveness of reminders did not differ significantly by patient age, gender, or language (English versus Spanish). CONCLUSIONS: Results suggest the value of automated reminder calls for intra-appointment intervals as short as three days.
Authors: Qin Liu; Katharine Abba; Marissa M Alejandria; David Sinclair; Vincent M Balanag; Mary Ann D Lansang Journal: Cochrane Database Syst Rev Date: 2014-11-18
Authors: Amanda P Miller; Mohsen Malekinejad; Hacsi Horváth; Janet C Blodgett; James G Kahn; Suzanne M Marks Journal: PLoS One Date: 2019-09-30 Impact factor: 3.240