Behavioral health appointment attendance following implementation of an automated appointment reminder system

Dianne Lavin, Justin White, Martha Medrano, Amy Ranieri

Research output: Contribution to journalArticlepeer-review

Abstract

This project explored the effect of an automated appointment reminder system (texts/e-mails/telephone calls) on patient attendance at behavioral health appointments in a federally qualified health care agency in Texas. Appointment reminder systems have been shown to improve attendance rates in behavioral health (Clouse, Williams, & Harmon, 2017; Gajwani, 2014; Molfenter, 2013; Whisenhunt, 2014). It was expected that behavioral appointment attendance which in this agency has been historically low, would increase following implementation of an automated appointment reminder system. A retrospective electronic health record review was completed to compare behavioral health appointment attendance rates before and after implementation of an automated appointment reminder system. Data analysis revealed that no-show rates for behavioral health appointments in the previous appointment reminder system (telephone call reminders) and the recently implemented automated appointment reminder system (texts/e-mails/telephone calls) were comparable with rates of 19.4% and 20.0%, respectively. The difference between the rates was not statistically significant suggesting that the automated appointment reminder system was not effective in improving patient attendance at behavioral health appointments.

Original languageEnglish (US)
Pages (from-to)113-120
Number of pages8
JournalJournal of Doctoral Nursing Practice
Volume10
Issue number2
DOIs
StatePublished - 2017
Externally publishedYes

Keywords

  • Appointment attendance
  • Behavioral health
  • No-show
  • Text message reminders

ASJC Scopus subject areas

  • Nursing(all)
  • Health Policy

Fingerprint

Dive into the research topics of 'Behavioral health appointment attendance following implementation of an automated appointment reminder system'. Together they form a unique fingerprint.

Cite this