Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Monday, March 11, 2019 at 4:00 PM to 4:30 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Advertisement

Currently submitted to: Journal of Medical Internet Research

Date Submitted: Sep 30, 2019
Open Peer Review Period: Sep 30, 2019 - Nov 25, 2019
(currently open for review)

Patient-Centric Scheduling Practices: Implementation of Health Information Technology to Improve the Patient Experience and Access to Care

  • Sukyung Chung; 
  • Meghan C. Martinez; 
  • Dominick Frosch; 
  • Veena G. Jones; 
  • Albert S. Chan; 

ABSTRACT

Background:

Cancellations and rescheduling of doctor’s appointments are common. An automated rescheduling system has the potential to facilitate rescheduling process so that newly opened slots are promptly filled by patients who need and can take the slot. Building on an existing online patient portal, a large healthcare system adopted an automated rescheduling system, called Fast Pass, that sends out an earlier appointment offer via email or text alert to patients and allows patients to reschedule their appointment through the online portal.

Objective:

We examined the uptake of Fast Pass at its early stage of implementation. We assessed program features and patient and visit characteristics associated with higher levels of Fast Pass utilization and association between Fast Pass use and no-show and cancellation rates.

Methods:

This study was a retrospective analysis of Fast Pass offers sent between July and December 2018. Multivariable logistic regression was used to assess the independent contribution of program, patient, and visit characteristics on the likelihood of accepting the offer. We then assessed appointment outcome (completion, cancellation, or no-show) of Fast Pass offered appointments compared to appointments with the same patient and visit characteristics but without an offer.

Results:

Of 177,311 Fast Pass offers sent, 8.3% were accepted. Overall, there were 1.3 percentage points (or 38%) reduction in no-show rates among Fast Pass accepted appointments than other appointments with matching characteristics (P < .001). The offers were more likely to be accepted if they were sent in the evening (vs. early morning), the first (vs. repeated) offer for the same appointment, for a slot 1-31 days ahead (vs. same-day), for later in a day (vs. before 10am), for primary care (vs. specialty) visit, sent via text message (vs. email only), for an appointment made through patient online portal (vs. via phone call or in-person), or for younger adults aged 18-49 (vs. ≥65) (all at P < .001). Factors negatively associated with offer acceptance were increasing number of comorbidities (P = .02) and visits scheduled for chronic conditions (vs. acute conditions only) (P = .002).

Conclusions:

An automated rescheduling system can improve patient’s access by reducing wait time for an appointment, with an added benefit of preventing no-shows by serving as a reminder of an upcoming appointment. Future modifications, such as increasing adoption of text-based offers and targeting older adults or patients with complex conditions, may help promote wider utilization and patient-centeredness of the system. Clinical Trial: N/A


 Citation

Please cite as:

Chung S, Martinez MC, Frosch D, Jones VG, Chan AS

Patient-Centric Scheduling Practices: Implementation of Health Information Technology to Improve the Patient Experience and Access to Care

JMIR Preprints. 30/09/2019:16451

DOI: 10.2196/preprints.16451

URL: https://preprints.jmir.org/preprint/16451


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.