Patient Preferences for Receiving Test Results at San Francisco Bay Area Free Clinics: A Multi-Site Evaluation
Abstract
Background: Laboratory follow-up is a critical aspect of patient care, and clinicians and patients communicate via both in-person and remote channels. Patient preferences for different modalities and the impact of experiencing in-person versus phone follow-up on future preferences are not well understood, especially in safety net settings.
Methods: We conducted a survey of 235 patients at two San Francisco Bay Area student-run free clinics to ascertain patient preferences for in-person and phone follow-up. We determined the clinical complexity of laboratory follow-up and overall patient care by conducting a chart review of 113 surveyed patients who received lab results and all 579 patients who received care at either clinic.
Results: Patients naïve to laboratory follow-up reported similar preferences for in-person (32%) and phone (36%) follow-up (p=0.58). Patients who received results in-person subsequently reported a greater preference for future in-person follow-up (65%, p=0.003), whereas preference for phone follow-up (43%, p=0.69) did not shift after experiencing this modality. Patients with more complex follow-up (e.g., altering medications or ordering additional diagnostic studies, versus routine health counseling) reported a greater preference for receiving results in-person (p=0.013) and a lower preference for receiving results by phone (p=0.036).
Conclusions: Patients’ preferences for receiving test results shift significantly after experiencing certain modalities (i.e., in-person) but not others (i.e., phone), and these shifts may be associated with the clinical complexity of laboratory follow-up. Future research should explore the utility of these findings in personalizing laboratory follow-up to optimize care delivery and quality in safety net settings.
Copyright (c) 2019 Kapil Gururangan, Jane Hae Soo Shin, Yangyang Shi, Patrick Peiyong Ye, Silvia Daniella Vaca, Divya Gopisetty, Daniel Sotelo Leon, Jacinta Leyden, Steven Lin
This work is licensed under a Creative Commons Attribution 4.0 International License.