Abstract

This project aimed to evaluate specialty referral wait times in a large academic medical center. Internal (organizational) as well as external (patient specific) factors were examined. Additionally, although specific to this QI project, the need to examine the accuracy of EHR data was identified and included. A retrospective review of one month of referral data to five medical specialties was completed (n=752). Logistic regression and multivariable analysis was used to determine whether age, race, insurance, specialty, or days from referral to appointment were associated with delays to timely access. Referrals with significant delays were further reviewed to identify additional factors associated with the delays.

Description

This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 10124292; ProQuest document ID: 1807632045. The author still retains copyright.

Author Details

Beverly J. Schacherbauer, MS, BSN

Sigma Membership

Non-member

Type

Thesis

Format Type

Text-based Document

Study Design/Type

Quality Improvement

Research Approach

Translational Research/Evidence-based Practice

Keywords:

Electronic Health Records, Patient Referrals, Referrals Wait Time, Nurse Leaders

Advisor

Margaret Hodge

Second Advisor

Tae Youn Kim

Third Advisor

Deborah Ward

Degree

Master's

Degree Grantor

University of California, Davis

Degree Year

2016

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.

All permission requests should be directed accordingly and not to the Sigma Repository.

All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Review Type

None: Degree-based Submission

Acquisition

Proxy-submission

Date of Issue

2021-10-06

Full Text of Presentation

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