scholarly journals A single-entry model and wait time for hip and knee replacement in eastern health region of Newfoundland and Labrador 2011–2019

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Anh Thu Vo ◽  
Yanqing Yi ◽  
Maria Mathews ◽  
James Valcour ◽  
Michelle Alexander ◽  
...  
Keyword(s):  
Knee Replacement ◽  
Newfoundland And Labrador ◽  
Wait Time ◽  
Wait Times ◽  
Eastern Health ◽  
Entry Model ◽  
Knee Replacements ◽  
Single Entry ◽  
Central Intake ◽  
Priority Levels

Abstract Background A single-entry model in healthcare consolidates waiting lists through a central intake and allows patients to see the next available health care provider based on the prioritization. This study aimed to examine whether and to what extent the prioritization reduced wait times for hip and knee replacement surgeries. Method The survival regression method was used to estimate the effects of priority levels on wait times for consultation and surgery for hip and knee replacements. The sample data included patients who were referred to the Orthopedic Central Intake clinic at the Eastern Health region of Newfoundland and Labrador and had surgery of hip and knee replacements between 2011 and 2019. Result After adjusting for covariates, the hazard of having consultation booked was greater in patients with priority 1 and 2 than those in priority 3 when and at 90 days after the referral was made for both hip and knee replacements. Regarding wait time for surgery after the decision for surgery was made, while the hazard of having surgery was lower in priority 2 than in priority 3 when and indifferent at 182 days after the decision was made, it was not significantly different between priority 1 and priority 3 among hip replacement patients. Priority levels were not significantly related to the hazard of having surgery for a knee replacement after the decision for surgery was made. Overall, the hazard of having surgery after the referral was made by a primary care physician was greater for patients in high priority than those in low priority. Preferring a specific surgeon indicated at referral was found to delay consultation and it was not significantly related to the total wait time for surgery. Incomplete referral forms prolonged wait time for consultation and patients under age 65 had a longer total wait time than those aged 65 or above. Conclusion Patients with high priority could have a consultation booked earlier than those with low priority and prioritization in a single entrance model shortens the total wait time for surgery. However, the association between priority levels and wait for surgery after the decision for surgery was made has not well-established.

The Impact of Diagnostic Imaging Wait Times on the Prognosis of Lung Cancer

2015 ◽  
Vol 66 (1) ◽  
pp. 53-57 ◽  
Author(s):  
Suzanne C. Byrne ◽  
Brendan Barrett ◽  
Rick Bhatia
Keyword(s):  
Lung Cancer ◽  
Diagnostic Imaging ◽  
Lung Biopsy ◽  
Patient Flow ◽  
Tumour Size ◽  
Wait Time ◽  
Wait Times ◽  
Eastern Health ◽  
Ct Guided ◽  
Initial Imaging

Objective This study was performed to determine whether gaps in patient flow from initial lung imaging to computed tomography (CT) guided lung biopsy in patients with non–small cell lung cancer (NSCLC) was associated with a change in tumour size, stage, and thus prognosis. Methods All patients who had a CT-guided lung biopsy in 2009 (phase I) and in 2011 (phase II) with a pathologic diagnosis of primary lung cancer (NSCLC) at Eastern Health, Newfoundland, were identified. Dates of initial abnormal imaging, confirmatory CT (if performed), and CT-guided biopsy were recorded, along with tumour size and resulting T stage at each time point. In 2010, wait times for diagnostic imaging at Eastern Health were reduced. The stage and prognosis of NSCLC in 2009 was compared with 2011. Results In phase 1, there was a statistically significant increase in tumour size (mean difference, 0.67 cm; P < .0001) and stage ( P < .0001) from initial image to biopsy. There was a moderate correlation between the time (in days) between the images and change in size ( r = 0.33, P = .008) or stage ( r = 0.26, P = .036). In phase II, the median wait time from initial imaging to confirmatory CT was reduced to 7.5 days (from 19 days). At this reduced wait time, there was no statistically significant increase in tumour size (mean difference, 0.02; P > .05) or stage ( P > .05) from initial imaging to confirmatory CT. Conclusions Delays in patient flow through diagnostic imaging resulted in an increase in tumour size and stage, with a negative impact on prognosis of NSCLC. This information contributed to the hiring of additional CT technologists and extended CT hours to decrease the wait time for diagnostic imaging. With reduced wait times, the prognosis of NSCLC was not adversely impacted as patients navigated through diagnostic imaging.

scholarly journals Online Ratings of Primary Care Physicians: Comparison of Gender, Training, and Specialty

2021 ◽  
Vol 8 ◽  
pp. 237437352110077
Author(s):  
Daliah Wachs ◽  
Victoria Lorah ◽  
Allison Boynton ◽  
Amanda Hertzler ◽  
Brandon Nichols ◽  
...  
Keyword(s):  
Primary Care ◽  
Primary Care Physicians ◽  
Waiting Times ◽  
Wait Time ◽  
Primary Care Providers ◽  
Wait Times ◽  
Care Providers ◽  
Female Physicians ◽  
Online Ratings ◽  
And Gender

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.

scholarly journals Determinants of Long Immunization Clinic Wait Times in a Sub-Saharan African Country

2021 ◽  
Vol 8 ◽  
pp. 2333794X2110282
Author(s):  
Osayame Austine Ekhaguere ◽  
Rosena Olubanke Oluwafemi ◽  
Angela Oyo-Ita ◽  
Burke Mamlin ◽  
Paul Bondich ◽  
...  
Keyword(s):  
Focus Group ◽  
Critical Mass ◽  
Wait Time ◽  
Wait Times ◽  
Group Discussions ◽  
Middle Income ◽  
Middle Income Countries ◽  
Group Data ◽  
Focus Group Data ◽  
Sub Saharan

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.

Factors associated with pressure ulcer onset after knee replacement

2021 ◽  
Vol 30 (11) ◽  
pp. 924-929
Author(s):  
Cristiana Forni ◽  
Nicola Cerantola ◽  
Gianfranco Ferrarelli ◽  
Luana Lombrosi ◽  
Andrea Bolzon ◽  
...  
Keyword(s):  
Knee Replacement ◽  
Predictive Factors ◽  
Conflicts Of Interest ◽  
Area Under The Curve ◽  
Factors Associated ◽  
Replacement Surgery ◽  
Braden Scale ◽  
Combined Use ◽  
Number Of Patients ◽  
Knee Replacements

Objective: The aim of this study was to find the rate of pressure ulcers (PUs) in patients with knee replacements and identify predictive factors. The ability of the Braden scale to predict the onset of PUs was also investigated. Method: A retrospective prognostic cohort study was carried out involving all consecutive patients undergoing knee replacement surgery. The data were collected from patient records. The variables collected were grouped into two categories: those connected to the patient's own characteristics; and those linked to the care methods used. Results: The total number of patients included in the study was 565. Of these, 2.3% had developed a PU: 0.5% at the heel and 1.8% at the sacrum. Multivariate analysis showed that the variables actually correlated to the outcome were age (p=0.074; odds ratio (OR)=1.08), body mass index (BMI, p=0.037; OR=1.13) and Braden scale (p=0.029; OR=0.72). A combination of these three parameters showed better predictivity of PUs (area under the curve (AUC) 84%). Conclusion: Age, BMI and preoperative Braden score were shown to be independent predictive factors of the onset of PUs in patients with knee replacements. The combined use of all three variables increased the ability to identify the patients at most risk of developing a PU. Declaration of interest: The study was financed by the Professional Nurse Register of Bologna as winner of a competition for research projects in the province of Bologna. The authors declare no conflicts of interest.

scholarly journals The impact of seasonal operating room closures on wait times for oral cancer surgery

2018 ◽  
Vol 25 (1) ◽  
pp. 67 ◽  
Author(s):  
N. Mundi ◽  
J. Theurer ◽  
A. Warner ◽  
J. Yoo ◽  
K. Fung ◽  
...  
Keyword(s):  
Oral Cavity ◽  
Cancer Patients ◽  
Operating Room ◽  
Oral Cavity Cancer ◽  
Tertiary Care ◽  
Wait Time ◽  
Disease Recurrence ◽  
Health Science ◽  
Wait Times ◽  
The Impact

Background Operating room slowdowns occur at specific intervals in the year as a cost-saving measure. We aim to investigate the impact of these slowdowns on the care of oral cavity cancer patients at a Canadian tertiary care centre.Methods A total of 585 oral cavity cancer patients seen between 1999 and 2015 at the London Health Science Centre (lhsc) Head and Neck Multidisciplinary Clinic were included in this study. Operating room hours and patient load from 2006 to 2014 were calculated. Our primary endpoint was the wait time from consultation to definitive surgery. Exposure variables were defined according to wait time intervals occurring during time periods with reduced operating room hours.Results Overall case volume rose significantly from 2006 to 2014 (p < 0.001), while operating room hours remained stable (p = 0.555). Patient wait times for surgery increased from 16.3 days prior to 2003 to 25.5 days in 2015 (p = 0.008). Significant variability in operating room hours was observed by month, with lowest reported for July and August (p = 0.002). The greater the exposure to these months, the more likely patients were to wait longer than 28 days for surgery (odds ratio per day [or]: 1.07, 95% confidence interval [ci]: 1.05 to 1.10, p < 0.001). Individuals seen in consultation preceding a month with below average operating room hours had a higher risk of disease recurrence and/or death (hazard ratio [hr]: 1.59, 95% ci: 1.10 to 2.30, p = 0.014).Conclusions Scheduled reductions in available operating room hours contribute to prolonged wait times and higher disease recurrence. Further work is needed to identify strategies maximizing efficient use of health care resources without negatively affecting patient outcomes.

scholarly journals Improving patient flow and timeliness in the diagnosis and management of breast abnormalities: the impact of a rapid diagnostic unit

2016 ◽  
Vol 23 (3) ◽  
pp. 260 ◽  
Author(s):  
J.M. Racz ◽  
C.M.B. Holloway ◽  
W. Huang ◽  
N.J. Look Hong
Keyword(s):  
Care Delivery ◽  
Patient Flow ◽  
Wait Time ◽  
Definitive Treatment ◽  
Wait Times ◽  
Fisher Exact Test ◽  
Patient Anxiety ◽  
Diagnostic Unit ◽  
Clinical Investigations ◽  
The Impact

Background Efforts to streamline the diagnosis and treatment of breast abnormalities are necessary to limit patient anxiety and expedite care. In the present study, we examined the effect of a rapid diagnostic unit (RDU) on wait times to clinical investigations and definitive treatment.Methods A retrospective before–after series, each considering a 1-year period, examined consecutive patients with suspicious breast lesions before and after initiation of the RDU. Patient consultations, clinical investigations, and lesion characteristics were captured from time of patient referral to initiation of definitive treatment. Outcomes included time (days) to clinical investigations, to delivery of diagnosis, and to management. Groups were compared using the Fisher exact test or Student t-test.Results The non-RDU group included 287 patients with 164 invasive breast carcinomas. The RDU group included 260 patients with 154 invasive carcinomas. The RDU patients had more single visits for biopsy (92% RDU vs. 78% non-RDU, p < 0.0001). The RDU group also had a significantly shorter wait time from initial consultation to delivery of diagnosis (mean: 2.1 days vs. 16.7 days, p = 0.0001) and a greater chance of receiving neoadjuvant chemotherapy (37% vs. 24%, p = 0.0106). Overall time from referral to management remained statistically unchanged (mean: 53 days with the RDU vs. 50 days without the RDU, p = 0.3806).Conclusions Introduction of a RDU appears to reduce wait times to definitive diagnosis, but not to treatment initiation, suggesting that obstacles to care delivery can occur at several points along the diagnostic trajectory. Multipronged efforts to reduce system-related delays to definitive treatment are needed.

Medical readiness: evaluating the robustness of medical clinic staffing solutions

2016 ◽  
Vol 14 (4) ◽  
pp. 407-419
Author(s):  
Michael Q Corpuz ◽  
Christina F Rusnock ◽  
Vhance V Valencia ◽  
Kyle Oyama
Keyword(s):  
Negative Impact ◽  
Cost Benefit Analysis ◽  
Relative Effectiveness ◽  
Discrete Event ◽  
Cost Savings ◽  
Cost Benefit ◽  
Wait Time ◽  
Cost Effective ◽  
Wait Times ◽  
Staffing Mix

Medical readiness requires Department of Defense medical clinics to be robust to changes in patient demand. Minor fluctuations in patient demand occur on a regular basis, but major increases can also occur. Major demand increases can result from a number of occurrences, including mass military deployments, medical incidents, outbreaks, and overflow from Veterans’ Affairs clinics. This research evaluates a system of clinics at Wright-Patterson Air Force Base in order to determine its ability to handle a 200% surge in patient demand. In addition, this study evaluates the relative effectiveness of six different staffing mix options to minimize patient wait times, also under the surge demand conditions. This evaluation is conducted using discrete-event simulation to estimate patient wait times and includes a sensitivity analysis of the increased patient demand, as well as a cost–benefit analysis to determine the most cost-effective alternative scenario. The study finds that adjustments to staffing mix enable cost savings while meeting current demands. In addition, the study finds that adjusting the staffing mix will not have a negative impact on patient wait time in the surge conditions, relative to the current staffing mix.

scholarly journals 1A Nationwide Analysis of U.S. Racial/Ethnic Disparities in Emergency Department Patients with Mental Health and Substance Use Disorders

2021 ◽  
Author(s):  
Joanne Weinreb ◽  
Penina Gavrilova ◽  
Jonathan Avery ◽  
Sean M. Murphy ◽  
Jyotishman Pathak
Keyword(s):  
Mental Health ◽  
Substance Use ◽  
Substance Use Disorders ◽  
Wait Time ◽  
Wait Times ◽  
Hispanic Patients ◽  
Racial Ethnic ◽  
Triage Level ◽  
Hispanic White ◽  
White Patients

Abstract BackgroundRacial and ethnic health disparities have been linked with inequalities in access to health care and outcomes. The present study considers whether inequalities persist between racial/ethnic groups among patients with mental health or substance use disorders who visit the emergency department (ED). MethodsWe analyzed data from the National Hospital Ambulatory Medical Care Survey (NHAMCS) from 2012-2018, assessing health disparities among patients diagnosed with mental health or substance use disorders by observing whether significant differences exist in ED wait time and length of visit (LOV) for patients of different races/ethnicities. Stratified models were performed to further understand the impact of regions across the U.S., year, and triage level on the association analysis. ResultsFrom 2012-2018, non-Hispanic Black and Hispanic patients experienced significantly longer ED wait times and LOV as compared to White patients. Patients with private insurance experienced significantly shorter wait times compared to patients with self-pay, and shorter LOV than those with Medicaid/ Children’s Health Insurance Program, or Medicare. Male patients had significantly longer LOV compared to female patients. We observed year by year differences in wait times of non-Hispanic Black patients with improvement appearing between the years 2013 to 2016, while LOV remained consistently longer. We observed both regional and triage level differences, with the U.S. Northeast presenting with the most disparities. Additionally, we noted a general upward trend of SUD diagnoses. Conclusion Our analysis suggests that while there has been an overall improvement in median ED wait time through the years, non-Hispanic Black and Hispanic patients experience significantly longer ED wait time compared to non-Hispanic White patients. Additionally, non-Hispanic Black and Hispanic patients have a significantly longer ED LOV compared to non-Hispanic White patients.

scholarly journals Association between surgeon grade and implant survival following hip and knee replacement: a systematic review and meta-analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e047882
Author(s):  
Timothy J Fowler ◽  
Alex L Aquilina ◽  
Ashley W Blom ◽  
Adrian Sayers ◽  
Michael R Whitehouse
Keyword(s):  
Systematic Review ◽  
Knee Replacement ◽  
Revision Rate ◽  
Meta Analysis ◽  
Secondary Outcome ◽  
Published Data ◽  
Implant Survival ◽  
Knee Replacements ◽  
Orthopaedic Training ◽  
Training Programmes

ObjectiveTo investigate the association between surgeon grade (trainee vs consultant) and implant survival following primary hip and knee replacement.DesignA systematic review and meta-analysis of observational studies.Data sourcesMEDLINE and Embase from inception to 6 October 2021.SettingUnits performing primary hip and/or knee replacements since 1990.ParticipantsAdult patients undergoing either a primary hip or knee replacement, predominantly for osteoarthritis.InterventionWhether the surgeon recorded as performing the procedure was a trainee or not.Primary and secondary outcome measuresThe primary outcome was net implant survival reported as a Kaplan-Meier survival estimate. The secondary outcome was crude revision rate. Both outcomes were reported according to surgeon grade.ResultsNine cohort studies capturing 4066 total hip replacements (THRs), 936 total knee replacements (TKRs) and 1357 unicompartmental knee replacements (UKRs) were included (5 THR studies, 2 TKR studies and 2 UKR studies). The pooled net implant survival estimates for THRs at 5 years were 97.9% (95% CI 96.6% to 99.2%) for trainees and 98.1% (95% CI 97.1% to 99.2%) for consultants. The relative risk of revision of THRs at 5 and 10 years was 0.88 (95% CI 0.46 to 1.70) and 0.68 (95% CI 0.37 to 1.26), respectively. For TKRs, the net implant survival estimates at 10 years were 96.2% (95% CI 94.0% to 98.4%) for trainees and 95.1% (95% CI 93.0% to 97.2%) for consultants. We report a narrative summary of UKR outcomes.ConclusionsThere is no strong evidence in the existing literature that trainee surgeons have worse outcomes compared with consultants, in terms of the net survival or crude revision rate of hip and knee replacements at 5–10 years follow-up. These findings are limited by the quality of the existing published data and are applicable to countries with established orthopaedic training programmes.PROSPERO registration numberCRD42019150494.

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