Cargando…

Using a human-centered, mixed methods approach to understand the patient waiting experience and its impact on medically underserved populations

PURPOSE: To use a mixed methods approach to investigate the patient waiting experience for a medically underserved population at an outpatient surgical clinic. METHODS: We used lean methodology to perform 96 time-tracked observations of the patient journey in clinic, documenting the duration of acti...

Descripción completa

Detalles Bibliográficos
Autores principales: Liao, Elizabeth N., Chehab, Lara Z., Neville, Kathryn, Liao, Jennifer, Patel, Devika, Sammann, Amanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682738/
https://www.ncbi.nlm.nih.gov/pubmed/36419056
http://dx.doi.org/10.1186/s12913-022-08792-8
_version_ 1784834918793084928
author Liao, Elizabeth N.
Chehab, Lara Z.
Neville, Kathryn
Liao, Jennifer
Patel, Devika
Sammann, Amanda
author_facet Liao, Elizabeth N.
Chehab, Lara Z.
Neville, Kathryn
Liao, Jennifer
Patel, Devika
Sammann, Amanda
author_sort Liao, Elizabeth N.
collection PubMed
description PURPOSE: To use a mixed methods approach to investigate the patient waiting experience for a medically underserved population at an outpatient surgical clinic. METHODS: We used lean methodology to perform 96 time-tracked observations of the patient journey in clinic, documenting the duration of activities from arrival to departure. We also used human-centered design (HCD) to perform and analyze 43 semi-structured interviews to understand patients’ unmet needs. RESULTS: Patients spent an average of 68.5% of their total clinic visit waiting to be seen. While the average visit was 95.8 minutes, over a quarter of visits (27%) were over 2 hours. Patients waited an average of 24.4 minutes in the waiting room and 41.2 minutes in the exam room; and only spent 19.7% of their visit with an attending provider and 11.8% with a medical assistant. Interviews revealed that patients arrive to their visit already frustrated due to difficulties related to scheduling and attending their appointment. This is exacerbated during the visit due to long wait times, perceived information opacity, and an uncomfortable waiting room, resulting in frustration and anxiety. CONCLUSIONS: While time tracking demonstrated that patients spend a majority of their visit waiting to be seen, HCD revealed that patient frustrations span the waiting experience from accessing the appointment to visit completion. These combined findings are crucial for intervention design and implementation for medically underserved populations to improve the quality and experience with healthcare and also address system inefficiencies such as long wait times.
format Online
Article
Text
id pubmed-9682738
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-96827382022-11-24 Using a human-centered, mixed methods approach to understand the patient waiting experience and its impact on medically underserved populations Liao, Elizabeth N. Chehab, Lara Z. Neville, Kathryn Liao, Jennifer Patel, Devika Sammann, Amanda BMC Health Serv Res Research PURPOSE: To use a mixed methods approach to investigate the patient waiting experience for a medically underserved population at an outpatient surgical clinic. METHODS: We used lean methodology to perform 96 time-tracked observations of the patient journey in clinic, documenting the duration of activities from arrival to departure. We also used human-centered design (HCD) to perform and analyze 43 semi-structured interviews to understand patients’ unmet needs. RESULTS: Patients spent an average of 68.5% of their total clinic visit waiting to be seen. While the average visit was 95.8 minutes, over a quarter of visits (27%) were over 2 hours. Patients waited an average of 24.4 minutes in the waiting room and 41.2 minutes in the exam room; and only spent 19.7% of their visit with an attending provider and 11.8% with a medical assistant. Interviews revealed that patients arrive to their visit already frustrated due to difficulties related to scheduling and attending their appointment. This is exacerbated during the visit due to long wait times, perceived information opacity, and an uncomfortable waiting room, resulting in frustration and anxiety. CONCLUSIONS: While time tracking demonstrated that patients spend a majority of their visit waiting to be seen, HCD revealed that patient frustrations span the waiting experience from accessing the appointment to visit completion. These combined findings are crucial for intervention design and implementation for medically underserved populations to improve the quality and experience with healthcare and also address system inefficiencies such as long wait times. BioMed Central 2022-11-22 /pmc/articles/PMC9682738/ /pubmed/36419056 http://dx.doi.org/10.1186/s12913-022-08792-8 Text en © The Author(s) 2022, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liao, Elizabeth N.
Chehab, Lara Z.
Neville, Kathryn
Liao, Jennifer
Patel, Devika
Sammann, Amanda
Using a human-centered, mixed methods approach to understand the patient waiting experience and its impact on medically underserved populations
title Using a human-centered, mixed methods approach to understand the patient waiting experience and its impact on medically underserved populations
title_full Using a human-centered, mixed methods approach to understand the patient waiting experience and its impact on medically underserved populations
title_fullStr Using a human-centered, mixed methods approach to understand the patient waiting experience and its impact on medically underserved populations
title_full_unstemmed Using a human-centered, mixed methods approach to understand the patient waiting experience and its impact on medically underserved populations
title_short Using a human-centered, mixed methods approach to understand the patient waiting experience and its impact on medically underserved populations
title_sort using a human-centered, mixed methods approach to understand the patient waiting experience and its impact on medically underserved populations
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682738/
https://www.ncbi.nlm.nih.gov/pubmed/36419056
http://dx.doi.org/10.1186/s12913-022-08792-8
work_keys_str_mv AT liaoelizabethn usingahumancenteredmixedmethodsapproachtounderstandthepatientwaitingexperienceanditsimpactonmedicallyunderservedpopulations
AT chehablaraz usingahumancenteredmixedmethodsapproachtounderstandthepatientwaitingexperienceanditsimpactonmedicallyunderservedpopulations
AT nevillekathryn usingahumancenteredmixedmethodsapproachtounderstandthepatientwaitingexperienceanditsimpactonmedicallyunderservedpopulations
AT liaojennifer usingahumancenteredmixedmethodsapproachtounderstandthepatientwaitingexperienceanditsimpactonmedicallyunderservedpopulations
AT pateldevika usingahumancenteredmixedmethodsapproachtounderstandthepatientwaitingexperienceanditsimpactonmedicallyunderservedpopulations
AT sammannamanda usingahumancenteredmixedmethodsapproachtounderstandthepatientwaitingexperienceanditsimpactonmedicallyunderservedpopulations