scholarly journals Using Wait-time Thresholds to Improve Mobility: The Case of UberWAV Services in Toronto

2020 ◽  
Author(s):  
Mischa Young ◽  
Steven Farber

We examine the wait-time of Uber’s wheelchair accessible service (UberWAV) in Toronto, to determine whether it meets the City’s 11-minutes average wait-time requirement. Using a 12-million record dataset of every ride-hailing trip conducted in Toronto between September 2016 and March 2017, we show that wait-times for UberWAV services were, on average, longer during rush hour periods and for trips further away from downtown. Despite this, we find that UberWAV services met the average wait-time requirement imposed by the City and believe that by offering shorter wait-times than previously available, this service significantly improves the mobility of people who require accessible transport services.

CJEM ◽  
2018 ◽  
Vol 20 (S1) ◽  
pp. S61-S61
Author(s):  
B. Brar ◽  
J. Stempien ◽  
D. Goodridge

Introduction: As experienced in Emergency Departments (EDs) across Canada, Saskatoon EDs have a percentage of patients that leave before being assessed by a physician. This Left Without Being Seen (LWBS) group is well documented and we follow the numbers closely as a marker of quality, what happens after they leave is not well documented. In Saskatoon EDs, if a CTAS 3 patient that has not been assessed by a physician decides to leave the physician working in the ED is notified. The ED physician will: try to talk to the patient and convince them to stay, can assess the patient immediately if required, or discuss other appropriate care options for the patient. In spite of this plan patients with a CTAS score of 3 or higher (more acute) still leave Saskatoon EDs without ever being seen by a physician. Our desire was to follow up with the LWBS patients and try to understand why they left the ED. Methods: Daily records from one of the three EDs in Saskatoon documenting patients with a CTAS of 3 or more acute who left before being seen by a physician were reviewed over an eight-month period. A nurse used a standardized questionnaire to call patients within a few days of their ED visit to ask why they left. If the patients declined to take part in the quality initiative the interaction ended, but if they agreed a series of questions was asked. These included: how long they waited, reasons why they left, if they went somewhere else for care and suggestions for improvement. Descriptive statistics were obtained and analyzed to answer the above questions. Results: We identified 322 LWBS patients in an eight-month time period as CTAS 3 or more acute. We were able to contact 41.6% of patients. The average wait time was 2 hours and 18 minutes. The shortest wait time was 11 minutes, whereas the longest wait time was 8 hours and 39 minutes. It was found that 49.1% of patients went to another health care option (Medi-Clinic or another ED in Saskatoon) within 24hrs of leaving the ED. Long wait times were cited as the number one reason for leaving. Lack of better communication from triage staff regarding wait time expectations was cited as the top response for perceived roadblocks to care. Reducing wait times was cited as the number one improvement needed to increase the likelihood of staying. Conclusion: The Saskatoon ED LWBS patient population reports long wait times as the main reason for leaving. In order to improve the LWBS rates, improving communication and expectations regarding perceived wait times is necessary. The patient perception of the ED experience is largely intertwined with wait times, their initial interaction with triage staff, and how easily they navigate our very busy departments. Therefore, it is vital that we integrate the patient voice in future initiatives geared towards improving health care processes.


2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 82-82
Author(s):  
James J. Sauerbaum ◽  
Gina DeMaio ◽  
Bradley Geiger ◽  
Regina Cunningham ◽  
Marianna Holmes ◽  
...  

82 Background: Members of the scheduling teams at the Abramson Cancer Center observed prolonged delays between chemotherapy and radiation therapy treatments scheduled by staff from 2 independent departments leading to inconvenience for patients receiving concurrent chemo- and radiation therapy (CRpts). Methods: An analysis of baseline data over 6 weeks revealed that for 157 unique consecutive patients undergoing daily chemotherapy and radiation (a total of 353 encounters), the mean time between scheduled treatments was 122 minutes. For 39% of encounters the wait time was greater than 120 minutes. To improve the adjacency of chemotherapy and radiation appointments and to consistently reduce wait time between treatments to less than 120 minutes, we formed a Chemotherapy/Radiation Scheduling Task Force consisting of patient service representatives, practice managers, and physician and nurse advisors. We determined that CRpts should be scheduled using a “huddle” strategy whereby prospectively identified CRpts are simultaneously scheduled for both treatments in a coordinated manner. Identifying CRpts for coordinated scheduling was facilitated by the creation of a chemo-radiation scheduling inbox to which clinicians and support staff e-mail names of new CRpts in order to alert the scheduling team. Our two lead schedulers meet 2-3 times per week to coordinate patient schedules. A weekly scorecard of the wait times for CRpts patients is distributed via e-mail to the clinicians and support staff. Results: Over the past 6 months, we have used the huddle method for 80% of 986 consecutive CRpt encounters. Our average wait time for huddle-scheduled encounters has been reduced to 62.5 minutes with only 9% of encounters having wait times over 120 minutes. For non-huddle-scheduled encounters, the average wait time is 129 minutes with 57% having wait times over 120 minutes. Conclusions: Utilization of a huddle scheduling method has successfully reduced wait time for CRpts. Use of the huddle method continues to grow with staff training and awareness of the new process.


2019 ◽  
Vol 8 (3) ◽  
pp. e000710
Author(s):  
Yuzeng Shen ◽  
Lin Hui Lee

Congestion at the emergency department (ED) is associated with increased wait times, morbidity and mortality. We have identified prolonged wait time to admission as a significant contributor to ED congestion. One of the main contributors to prolonged wait time to admission was due to rejections by ward staff for the beds allocated to newly admitted patients by the Bed Management Unit (BMU). We have identified this as a systemic issue and through this quality improvement effort, seek to reduce the incidence of bed rejections for all admitted patients by 50% from 9% to 4.5% within 6 months. We used PDSA (Plan, Do, Study, Act) cycles to implement a series of interventions, such as updating legacy categorisation of wards, instituting a ‘no rejects’ policy and performing ward level audits. Compared with baseline, there was reduction in rejected BMU allocation requests from 9% to 5% (p<0.01). The monthly percentage of patients with at least one rejection dropped from an average of 7% to 4% (p<0.01). With reduction in the number of rejections, the average wait time to the final request acknowledged by the ward for all admission sources decreased from 2 hours 19 min to 1 hour (p<0.01), thereby allowing the overall wait time to admission to decrease by 68 min, from 5 hours 13 min to 4 hours 5 min. Improvements in the absolute duration and variance of wait times were sustained. Although the team’s initial impetus was to improve ED wait times, this hospital-wide effort improved wait times across all admission sources. There has been a resultant increase in ownership of the admissions process by both nursing and BMU staff. With the conclusion of this effort, we are looking to further reduce the wait time to admission by optimising the current bed allocation logic through another quality improvement effort.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18230-e18230
Author(s):  
Jennifer Tota ◽  
Kathleen Levine ◽  
Jeanine Gordon ◽  
Abigail Baldwin ◽  
Jodi Wald ◽  
...  

e18230 Background: Chemotherapy wait times can dramatically affect patient experience. MSK’s largest outpatient facility has 76 infusion spaces and 250-300 daily visits. A retrospective review of the facility’s infusion area wait times suggested that the lab (where all patients go to get their vitals and blood drawn) was a major bottleneck leading to process delays in infusion. Methods: We conducted a pilot program using a multi-pronged approach. Our goal was to decrease wait time from 40 minutes to an average of 15 minutes. Our initiative was defined as follows: (1) to redefine lab parameters that are relevant for toxicity and to only consider drawing those necessary labs; additionally, we created guidelines for timing of the labs prior to infusion treatment, (2) to introduce a program known as “ChemoExpress” which offers patients the opportunity to get blood work done prior to the day of their infusion appointment. After the labs result, the outpatient RN calls the patient, assesses symptoms and “clears them” for treatment cueing the pharmacy to prepare and “premix” the drug on the day of treatment. Results: 150 patients have enrolled in ChemoExpress. Patient satisfaction was high based on patient satisfaction surveys (n = 20). Average wait time was 9 minutes (76% less) in ChemoExpress participants as compared to an average wait of 39 minutes for those who did not participate in ChemoExpress. Conclusions: Implementing a process that enables patients to have their bloodwork drawn prior to the day of treatment and drugs prepared in advance of their treatment appointment results in greater efficiency in the overall workflow. It also offers the patient a lower wait time and a more efficient and satisfying experience.


2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Danya A Fox ◽  
Mabel Tan ◽  
Robyn Lalani ◽  
Louanna Atkinson ◽  
Brenden Hursh ◽  
...  

Abstract Our pediatric Gender Clinic is receiving a growing number of referrals, yet continues to operate with limited resources. To try to address this issue, a new clinical pathway was developed in 2017, which included an inter-professional assessment clinic run by nurses and social workers as the entry point for new referrals (known as ‘intake appointments’). These visits help to identify those youth who require urgent access to care (i.e. for imminent puberty), wayfinding to community supports and providers who can complete GnRH analog and hormone-readiness assessments, and information about potential medical interventions. The goals of this study were to (1) map out current processes, (2) evaluate wait times for patients referred in 2015-2016 (pre-intake) and 2018-2019 (post-intake), and (3) describe referral patterns and outcomes. Patients referred in 2017 were excluded, as this was a transitional year. In 2015-2016, 222 referrals were received, compared to 407 referrals in 2018-2019. Of the post-intake cohort, to date, 202/407 referrals have led to an intake appointment, of which 45 were via telehealth (a service not previously offered to families). Average wait time to physician visit was 171 days (range 10-1271; IQR 69-208) for patients in the pre-intake cohort, while the average wait time to intake appointment was 200 days (range 9-569, IQR 114-242) in the post-intake cohort. Wait time to physician visits cannot be assessed yet, due to the number of pending referrals. Fifty-four referrals were cancelled in the pre-intake, and 73 in the post-intake cohort. In both groups, the primary reason for cancellation was redirection by our team to other services (32% in both groups), and the second most common reason was cancellation by the family/no show to appointment (26% and 22% in the pre- and post-intake cohorts, respectively). Staffing resources and number of clinics per week have changed over the years, limiting our ability to attribute changes directly to the new clinical pathway. Moreover, most hormone-readiness assessments are completed by community providers. Therefore, wait times to physician visits partly reflect difficulty in accessing these community resources. However, using our new model of care, we have engaged with hundreds of patients and families within a similar time frame to the 2015-2016 cohort, despite an almost doubling of the number of referrals received by our clinic. Although these initial visits do not allow for initiation of medical therapy, they are a means to support patients and families through their gender journey. Moreover, the intake appointments have promoted inter-professional collaborative care, which is particularly beneficial in the face of limited resources. Thus, we believe this new model of care has led to improved quality of care for patients accessing our Gender Clinic.


2014 ◽  
Vol 32 (30_suppl) ◽  
pp. 140-140
Author(s):  
Rachel Adilman ◽  
Robyn Leonard ◽  
Zia Poonja ◽  
Christine E. Simmons

140 Background: Neoadjuvant therapy (NAT) is widely considered to be the standard of care for patients diagnosed with locally advanced breast cancer (LABC) or inflammatory breast cancer (IBC). NAT is also considered in patients with more aggressive subtypes (Her2+ or triple negative cancers). However, it remains unclear which patients are being considered for NAT, which patients are indeed receiving NAT, and how long the current wait times for chemotherapy and hormone therapy are in this patient population. This study was designed to characterize the breast cancer patients being referred to the BC Cancer Agency (BCCA) Vancouver’s NAT clinic, and to determine the average wait times for chemotherapy and hormone therapy in these patients. Methods: Between May 13th, 2013 and June 3rd, 2014, a total of 160 potential NAT candidates were seen at the BCCA Vancouver NAT clinic. Breast cancer characteristics and wait times for these patients were assessed prospectively using a secure database. Results: Of these 160 patients, 119 (74%) actually received NAT; 76.7% of these were deemed LABC patients (clinical stage IIB or III), and 6% were “window of opportunity” (WOP) patients (those considered for NAT due to long surgical wait times). NAT patient receptor status differed significantly from the receptor statuses of patients who did not receive NAT (p=0.006), with Her2+ and triple negative breast cancer patients being most likely to receive NAT. Seventy-eight percent of ER+Her2+, 86% of ER-Her2+, 67% of ER+Her2-, and 80% of triple negative patients received NAT. A total of 4 patients (2.5%) presented in clinic with metastatic disease and thus were not considered for NAT. The average wait time between when a patient was referred to the BCCA and when they commenced chemotherapy was 18.1 days (median: 16), while the average wait time to receive hormone therapy alone was 12.3 days (median: 10). Conclusions: These findings suggest a need to expedite screening and care for these high-risk breast cancer patients in order to characterize and treat the disease neoadjuvantly before it has metastasized. Strategies to reduce wait times in this breast cancer population are being further assessed.


2020 ◽  
Vol 4 (26) ◽  
pp. 91-95
Author(s):  
D. A. Smirnov ◽  

The article reveals the content of measures to improve the organization of transport services in the metropolis. The key directions of the city transport system development are considered. The analysis of the offered offers is carried out. Keywords: metropolis, transport development, public transport, street and road network.


2020 ◽  
Author(s):  
Saif Khairat ◽  
Malvika Pillai ◽  
Barbara Edson ◽  
Robert Gianforcaro

BACKGROUND Importance: Positive patient experiences are associated with illness recovery and adherence to medication. The shift toward virtual visits creates a need to understand the opportunities and challenges in providing a patient experience that is at least as positive as in-person visits. OBJECTIVE To evaluate the virtual care experience for patients with Covid-19 as their chief complaints. METHODS We conducted a cross-sectional study of the first cohort of patients with Covid-19 concerns in a virtual clinic. We collected data on all virtual visits between March 20-29, 2020. Outcomes: The main endpoints of this study were patient diagnosis, prescriptions received, referrals, wait time and duration, and satisfaction. The secondary outcome was the reported choice of alternative care options. RESULTS Of the 358 total virtual visits, 42 patients marked “Covid-19 Concern” as their chief complaint. Of those patients, 23 (54.8%) female patients, the average age of patients was 33.9 years, and 41 (97.7%) patients were seeking care for themselves and one (3.3%) visit was for a dependent. For all virtual visits, the average wait time (SD) was 157.2 (181.7) minutes and the average wait time (SD) for Covid-19 Concern visits was 177.4 (186.5) minutes. Covid-19 Concern phone visits had an average wait time (SD) of 180.1 (187.2), compared to 63.4 (34.4) minutes for Covid-19 Concern video visits. Thirteen (65%) patients rated their provider as “Excellent” with similar proportions among phone (64.3%) and video (66.7%). CONCLUSIONS This study evaluated the virtual experiences of patients with Covid-19 concerns. There were different experiences for patients depending on their choice of communication. Long wait times were a major drawback in the patient experience. We have learned from evaluating the experience of our first cohort of Covid-19 Concern patients.


2021 ◽  
Vol 8 ◽  
pp. 237437352110077
Author(s):  
Daliah Wachs ◽  
Victoria Lorah ◽  
Allison Boynton ◽  
Amanda Hertzler ◽  
Brandon Nichols ◽  
...  

The purpose of this study was to explore patient perceptions of primary care providers and their offices relative to their physician’s philosophy (medical degree [MD] vs doctorate in osteopathic medicine [DO]), specialty (internal medicine vs family medicine), US region, and gender (male vs female). Using the Healthgrades website, the average satisfaction rating for the physician, office parameters, and wait time were collected and analyzed for 1267 physicians. We found female doctors tended to have lower ratings in the Midwest, and staff friendliness of female physicians were rated lower in the northwest. In the northeast, male and female MDs were rated more highly than DOs. Wait times varied regionally, with northeast and northwest regions having the shortest wait times. Overall satisfaction was generally high for most physicians. Regional differences in perception of a physician based on gender or degree may have roots in local culture, including proximity to a DO school, comfort with female physicians, and expectations for waiting times.


2021 ◽  
Vol 8 ◽  
pp. 2333794X2110282
Author(s):  
Osayame Austine Ekhaguere ◽  
Rosena Olubanke Oluwafemi ◽  
Angela Oyo-Ita ◽  
Burke Mamlin ◽  
Paul Bondich ◽  
...  

The wait time clients spend during immunization clinic visits in low- and middle-income countries is a not well-understood reported barrier to vaccine completion. We used a prospective, observational design to document the total time from client arrival-to-discharge and all sequential provider-client activities in 1 urban, semi-urban, and rural immunization clinic in Nigeria. We also conducted caregiver and provider focus group discussions to identify perceived determinants of long clinic wait times. Our findings show that the time from arrival-to-discharge varied significantly by the clinic and ranged between 57 and 235 minutes, as did arrival-to-all providers-client activities. Focus group data attributed workflow delays to clinic staff waiting for a critical mass of clients to arrive for their immunization appointment before starting the essential health education talk or opening specific vaccine vials. Additionally, respondents indicated that complex documentation processes caused system delays. Research on clinic workflow transformation and simplification of immunization documentation is needed.


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