Access to child developmental assessment services in culturally and linguistically diverse metropolitan Sydney: a retrospective cohort analysis

BACKGROUND

Despite the increasing prevalence of neurodevelopmental disorders (NDD), data regarding access to child development services have remained limited globally. Long wait times are a major barrier to developmental assessments, impacting on care and outcomes. The aim is to retrospectively analyse the demographic profile and prioritisation of patients seen at a child developmental assessment service (CDAS) in a vulnerable region of Sydney, and explore factors affecting wait times.

METHODS

Data was collated and analysed for 2354 patients from 2018 to 2022. Socio-Economic Indexes for Areas (SEIFA) were collated from the Australian Bureau of Statistics. Descriptive statistics were used for demographic data and various statistical methods were used to analyse the relationships and impact of factors likely to affect wait lists.

RESULTS

The median age was 51 months (IQR41-61) and males comprised 73.7% of the cohort. 64% of children were from culturally and linguistically diverse backgrounds (CALD) and 47% lived in the most disadvantaged suburbs. The median wait time was 302.5 days (IQR175-379) and 70% of children were seen within 12 months. CALD patients and children over 5-years had shorter wait times. Most children with Global Developmental Delay (GDD) were from the lowest four SEIFA deciles and waited longer for an appointment. 42.6% were seen within the priority allocated time or sooner. Children with ASD and/or severe GDD were prioritised to be seen earlier. Overall, the study could not demonstrate any difference in the wait times according to the prioritisation groups.

CONCLUSION

This study provides insights into the profile, prioritisation processes and wait lists of children seen by CDAS in South Western Sydney with high rates of social vulnerability and presents an argument to discuss benchmarking targets with service providers. It identifies the need to prioritise children living in suburbs with socioeconomic disadvantage and refine prioritisation and data collection processes to improve wait times.

Variations in wait times for imaging services: a register-based study of self-reported wait times for specific examinations in Norway

BACKGROUND

While the number of medical images has increased substantially, the demand has outpaced access, resulting in long wait times in many countries. Long wait times are a key problem for patient safety and quality of care as they can result in prolonged suffering, delayed diagnosis and treatment, as well as poorer prognosis and loss of lives. Surprisingly, little is known about wait times for imaging services.

OBJECTIVE

Investigate wait times for specific imaging services in Norway and to compare wait times with the total number of examinations and their development over time.

METHODS

Data from the wait time registry at the Norwegian Directorate of Health from 2018 to 2021 as well as data on outpatient imaging provided by the Norwegian Health Economics Administration (HELFO) and in-patient data afforded by fourteen hospital trusts and hospitals in Norway were analysed. Data include the total number of imaging examinations according to the Norwegian Classification of Radiological Procedures (NCRP). Analyses were performed with descriptive statistics.

RESULTS

Wait times vary through the months of the year. Conventional X-ray (XR) had the shortest wait times (3.0-4.4 weeks), and Magnetic Resonance Imaging (MRI) and ultrasound (US) had the lengthiest (8.7-12.0 and 7.9-11.4 weeks respectively). The wait times were lengthiest during the summer and winter holidays. Variations in wait times were also found for specific examination types between Norway's four public health regions. In addition, there was variation over time within the health regions. The wait times with the private health providers were substantially lower than with the public health providers. From 2018 to 2021, the wait time for MRIs increased by 6.6%, while the number of examinations (per 10,000) increased by 8.6%. Those regions with the highest number of examinations per 1,000 inhabitants per year had the lowest wait times.

CONCLUSION

Wait times for diagnostic imaging procedures varied with time, region, and modality in Norway from 2018 to 2021. Long wait times may entail many negative consequences for patients, professionals, and the healthcare system. Reducing long wait times is an obvious way to improve the quality, safety, and efficiency of care.

Waiting times of women vs. men undergoing transcatheter aortic valve implantation

AIMS

Increasing transcatheter aortic valve implantation (TAVI) rates have resulted in prolonged waiting times. These have been associated with heart failure hospitalizations (HFH) and mortality yet sex differences have not yet been reported.

METHODS AND RESULTS

All patients who underwent TAVI for severe aortic stenosis at a tertiary referral hospital in Australia were prospectively included. Total waiting time was divided into 'work-up' waiting time (period from referral date until heart team approval) and, 'procedural' waiting time (period from heart team approval until procedure date). Patients were analysed according to sex. Cohorts were matched to correct for differences in baseline and procedural variables. The primary endpoints were waiting times. Secondary outcomes included a composite of 30-day mortality and HFH, quality of life, and mobility. A total of 407 patients (42% women) were included. After matching of the two cohorts (345 patients), women had significantly longer total waiting times than men: median 156 [interquartile range (IQR) 114-220] days in women vs. 147 [IQR 92-204] days in men (P = 0.037) including longer work-up (83 [IQR 50-128] vs. 71 [IQR 36-119], P = 0.15) and procedural waiting times (65 [IQR 44-100] vs. 58 [IQR 30-93], P = 0.042). Increasing waiting times were associated with higher 30-day mortality and HFH (P = 0.01 for work-up waiting time, P = 0.02 for procedural waiting time) and decreased 30-day mobility (P = 0.044 for procedural waiting time) in women, but not in men.

CONCLUSION

TAVI waiting times are significantly longer in women compared to men and are associated with increased mortality and HFH and reduced mobility at 30-days.

Effect of a National VHA Medical Scribe Pilot on Provider Productivity, Wait Times, and Patient Satisfaction in Cardiology and Orthopedics

BACKGROUND

Section 507 of the VA MISSION Act of 2018 mandated a 2-year pilot study of medical scribes in the Veterans Health Administration (VHA), with 12 VA Medical Centers randomly selected to receive scribes in their emergency departments or high wait time specialty clinics (cardiology and orthopedics). The pilot began on June 30, 2020, and ended on July 1, 2022.

OBJECTIVE

Our objective was to evaluate the impact of medical scribes on provider productivity, wait times, and patient satisfaction in cardiology and orthopedics, as mandated by the MISSION Act.

DESIGN

Cluster randomized trial, with intent-to-treat analysis using difference-in-differences regression.

PATIENTS

Veterans using 18 included VA Medical Centers (12 intervention and 6 comparison sites).

INTERVENTION

Randomization into MISSION 507 medical scribe pilot.

MAIN MEASURES

Provider productivity, wait times, and patient satisfaction per clinic-pay period.

KEY RESULTS

Randomization into the scribe pilot was associated with increases of 25.2 relative value units (RVUs) per full-time equivalent (FTE) (p < 0.001) and 8.5 visits per FTE (p = 0.002) in cardiology and increases of 17.3 RVUs per FTE (p = 0.001) and 12.5 visits per FTE (p = 0.001) in orthopedics. We found that the scribe pilot was associated with a decrease of 8.5 days in request to appointment day wait times (p < 0.001) in orthopedics, driven by a 5.7-day decrease in appointment made to appointment day wait times (p < 0.001), and observed no change in wait times in cardiology. We also observed no declines in patient satisfaction with randomization into the scribe pilot.

CONCLUSIONS

Given the potential improvements in productivity and wait times with no change in patient satisfaction, our results suggest that scribes may be a useful tool to improve access to VHA care. However, participation in the pilot by sites and providers was voluntary, which could have implications for scalability and what effects could be expected if scribes were introduced to the care process without buy-in. Cost was not considered in this analysis but is an important factor for future implementation.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04154462.

In-office needle arthroscopy is a cost-effective alternative for operating room diversion in medial meniscectomy: a financial analysis

BACKGROUND

In-office needle arthroscopy (IONA) has been described as a diagnostic alternative to magnetic resonance imaging (MRI) for intra-articular pathology. However, few studies have analyzed its impact on cost and wait times when used as a therapeutic intervention. The purpose of this study was to investigate the impact on cost and wait times associated with offering IONA for partial medial meniscectomy as an alternative to traditional operating room (OR) arthroscopy for patients with irreparable medial meniscus tears on MRI.

METHODS

Two models were created comparing the existing care pathway (current state) to a proposed future state utilizing IONA. Data sources were accounting data from an academically affiliated hospital in Canada and supplemented with literature values. A Monte Carlo simulation combined with DuPont analysis running 10,000 simulations was conducted to calculate the revenue, expenses, profits, and effect on surgical waitlists (i.e., throughput) between the states. Sensitivity analyses examined the influence of patient preference and revision rates on profit and throughput. Two-sample Student's t test was performed (p < .05).

RESULTS

An average of 198 (standard deviation (SD) 31) patients underwent arthroscopic meniscectomy or repair each year from 2016 to 2020. The IONA revision rate was calculated as 20.3%. Compared to the current state, annual expenses in the IONA pathway were significantly reduced ($266,912.68 versus $281,415.23, p < .0001), while improving throughput by 21.2% (3.54%). Sensitivity analysis revealed 10% of patients need to select IONA over traditional OR arthroscopy with the revision rate remaining below 40% for the proposed state profit to be higher than the current state.

CONCLUSIONS

IONA is a cost-effective alternative to traditional OR arthroscopy in patients undergoing partial medial meniscectomy. The next steps are to assess patients' perceptions of IONA as an alternative to traditional OR arthroscopy, and to carry out clinical trials to determine the efficacy, patient-reported outcome metrics, and complications of IONA.

Reducing Wait Times for Radiology Exams Around Holiday Periods: A Monte Carlo Simulation

Reducing patient wait times is a key operational goal and impacts patient outcomes. The purpose of this study is to explore the effects of different radiology scheduling strategies on exam wait times before and after holiday periods at an outpatient imaging facility using computer simulation. An idealized Monte Carlo simulation of exam scheduling at an outpatient imaging facility was developed based on the actual distribution of scheduled exams at outpatient radiology sites at a tertiary care medical center. Using this simulation, we examined three scheduling strategies: (1) no scheduling modifications, (2) increase imaging capacity before or after the holiday (i.e. increase facility hours), and (3) use a novel rolling release scheduling paradigm. In the third scenario, a fraction of exam slots are blocked to long-term follow-up exams and made available only closer to the exam date, thereby preventing long-term follow-up exams from filling the schedule and ensuring slots are available for non-follow-up exams. We examined the effect of these three scenarios on utilization and wait times, which we defined as the time from order placement to exam completion, during and after the holiday period. The baseline mean wait time for non-follow-up exams was 5.4 days in our simulation. When no scheduling modifications were made, there was a significant increase in wait times in the week preceding the holiday when compared to baseline (10.0 days vs 5.4 days, p < 0.01). Wait times remained elevated for 4 weeks following the holiday. Increasing imaging capacity during the holiday and post-holiday period by 20% reduced wait times by only 6.2% (9.38 days vs 10.0 days, p < 0.01). Increasing capacity by 50% resulted in a 7.1% reduction in wait times (9.28 days, p < 0.01), and increasing capacity by 100% resulted in a 13% reduction in wait times (8.75 days, p < 0.01). In comparison, using a rolling release model produced a reduction in peak wait times equivalent to doubling capacity (8.76 days, p < 0.01) when 45% of slots were reserved. Improvements in wait times persisted even when rolling release was limited to the 3 weeks preceding or 1 week following the holiday period. Releasing slots on a rolling basis did not significantly decrease utilization or increase wait times for long-term follow-up exams except in extreme scenarios where 80% or more of slots were reserved for non-follow-up exams. A rolling release scheduling paradigm can significantly reduce wait time fluctuations around holiday periods without requiring additional capacity or impacting utilization.

Waiting for medical test results: A delay discounting approach

RATIONALE AND OBJECTIVE

Delay discounting is the devaluation of an outcome as a function of delay until receiving that outcome. In two studies, we used a delay discounting approach to examine how wait times for a medical diagnosis can affect people's decision to undergo medical testing.

METHODS

In Study 1 (N = 151), participants rated the likelihood they would get tested for a severe and a mild disease with wait times ranging from 0 to 180 days (within persons). Study 2 (N = 400) randomized disease severity (severe vs. mild) between persons and manipulated disease curability (curable vs. incurable).

RESULTS

Likelihood of testing decreased as delay until receiving test results increased. This effect of delay on testing was stronger for the mild than for the severe disease, and for the curable than for the incurable disease.

CONCLUSIONS

We found strong evidence for a delay discounting effect, an effect that varied depending on aspects of diseases. The findings illustrate how delay discounting can affect screening uptake and how it is moderated by disease characteristics.

About time! A scoping review of public-facing emergency department wait time displays in Canada

PURPOSE

Waiting is a common experience for patients during an emergency department (ED) visit. While high acuity patients are seen with little delay, low acuity patients may experience dissatisfaction from prolonged wait times. One strategy to improve patient experience involves changing the perception of the wait by providing realistic expectations of wait times using public-facing wait time displays. The primary objective of this study is to quantify the number of Canadian EDs with online wait time displays and describe the features and type of information provided.

METHODS

A systematic online search of all Canadian EDs was completed to identify EDs with public-facing wait time displays. A scoping review was then performed to assess their message characteristics, translations offered, availability of multi-site information, and accessibility features. Data were summarized using descriptive statistics.

RESULTS

Sixty (9.3%) of the 647 Canadian EDs identified provide public-facing real-time wait time displays. Thirteen of these (21.7%) were associated with a single proprietary system. Distribution of wait time displays differs across Canada, with a range of zero to 100% of EDs within each province utilizing this communication tool. Common characteristics include "average" wait time (95%), graphical trend data (32%), number of patients waiting (33%), longest wait time (12%), and expected length of stay (10%). Sixty-two percent of wait time displays provide a combination of these methods to inform wait times. Important accessibility features include language translation, compliance with Canadian National Institute for the Blind (CNIB) accessibility guidelines and availability on a mobile application.

CONCLUSION

Currently, there is emerging use of wait time displays in Canada with considerable variability in the information communicated through these tools. Effectiveness of these displays and their content needs to be determined.

The impact of wait time on patient outcomes in knee and hip replacement surgery: a scoping review protocol

BACKGROUND

Total hip and total knee replacement surgery are in high demand, leading to long wait times for many patients. While on the waiting list, patients may experience worsening pain, reduced mobility, and deteriorating health. Given that long wait times are common for lower joint replacement surgery, it is important to understand how patient health changes during the wait period and whether this impacts patient outcomes after surgery. The aim of this scoping review will be to identify and describe the evidence regarding the impact of wait time on patient outcomes for patients who undergo total knee and total hip replacement surgery.

METHODS

This scoping review was designed with guidance from the Joanna Briggs Institute Manual for Evidence Synthesis, and results will be reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews. EMBASE, Medline, PubMed, Scopus, CINAHL, and Cochrane electronic databases will be searched for English language articles published after 1999. Studies of adult patients with osteoarthritis undergoing primary knee or hip replacement surgery, which measure patient outcomes over the wait period for surgery, will be included. Two independent reviewers will screen titles and abstracts followed by full article review. Data will be extracted by two reviewers using a standardized form. Outcomes assessed during the wait period will be identified and described in tables. Factors associated with changes in health status during the wait period will be qualitatively described.

DISCUSSION

This review will map the evidence regarding wait times for lower extremity joint replacement surgery. Better understanding of how the impact of wait times on patient health status is measured over the perioperative period will inform future research on wait times.

SCOPING REVIEW REGISTRATION

Registered with Open Science Framework, Feb 14, 2021 DOI: https://doi.org/10.17605/OSF.IO/MV4FS.

Canadian demand and access to corneal transplantation: a provincial comparison

To gather information from stakeholders involved in corneal donation and transplantation to inform discussion at the "National Consensus Forum on Improving Cornea Donation and Transplantation Access in Canada" held in February 2020, survey questions were posed to eye banks, transplanting ophthalmologists and organ donation organizations across Canada to learn more about demand, wait times, and access to tissue for transplant. The survey response rate was one hundred percent (100%) for eye banks and organ donation organizations while 64 percent (64%) of transplant ophthalmologists provided feedback. A number of opportunities for improvement were identified including: demand forecasting; infrastructure and strategies to align supply with demand; data collection and benchmarking of wait times for assessment and transplant to support consistency, equitability and transparency in access; and national collaboration in the development of a data strategy to accurately measure demand and access to cornea transplants in a consistent manner across all provinces to facilitate equity in access nationally.

The impact of social media presence, age, and patient reported wait times on physician review websites for sports medicine surgeons

BACKGROUND

When choosing physicians, patients often review options online via physician review websites, which may influence decisions on providers.

PURPOSE

The purpose of this study is to investigate the impacts of social media usage, age, and patient reported wait times on online ratings for three popular review websites.

STUDY DESIGN

Cross-sectional study.

METHODS

The American Orthopaedic Society for Sports Medicine database was used to extract demographic information for all listed sports medicine surgeons in Florida. Overall ratings, number of ratings and comments, and patient reported wait-times were recorded from three leading review websites (Healthgrades.com, Vitals.com, Google.com). Professionally focused SM accounts were searched for each physician on Facebook.com, Twitter.com, Instagram, and LinkedIn.com.

RESULTS

102 orthopaedic sports medicine surgeons were included. At least one form of social media was used by 62.4% of our cohort. Those with social media had higher overall online physician ratings out of 5.00 across all review websites (Google:4.65vs4.44, p = 0.05; Healthgrades:4.41vs4.15, p = 0.03; Vitals:4.43vs4.14, p = 0.01). In bivariate analysis, older age was associated with lower ratings on Health Grades (Absolute difference (AD) -0.26, p < 0.0001), and social media was linked to higher ratings (Google: AD 0.21, p = 0.05; Healthgrades: AD 0.26, p = 0.03; Vitals: AD 0.29, p = 0.008). Longer wait times were associated with lower ratings in a dose-dependent manner in both bivariate and multivariable analysis.

CONCLUSIONS

Social media use among sports medicine surgeons correlated with higher overall physician ratings. Potentially, younger surgeons increase social media use because of a heightened concern for online image, whereas older surgeons may have less value in using online platforms to capitalize on an online presence. Older age and increased patient reported wait times in office had a negative correlation with online reviews, which highlights that factors beyond the surgeon's skill sets can influence overall ratings.

Design and implementation of a cluster randomized trial measuring benefits of medical scribes in the VA

BACKGROUND

Medical scribes are trained professionals who assist health care providers by administratively expediting patient encounters. Section 507 of the MISSION Act of 2018 mandated a 2-year study of medical scribes in VA Medical Centers (VAMC). This study began in 2020 in the emergency departments and specialty clinics of 12 randomly selected VAMCs across the country, in which 48 scribes are being deployed.

METHODS

We are using a cluster randomized trial to assess the effects of medical scribes on productivity (visits and relative value units [RVUs]), wait times, and patient satisfaction in selected specialties within the VA that traditionally have high wait times. Scribes will be assigned to emergency departments and/or specialty clinics (cardiology, orthopedics) in VAMCs randomized into the intervention. Remaining sites that expressed interest but were not randomized to the intervention will be used as a comparison group.

RESULTS

Process measures from early implementation of the trial indicate that contracting may hold an advantage over direct hiring in terms of reaching staffing targets, although onboarding contractor scribes has taken somewhat longer (from job posting to start date).

CONCLUSIONS

Our evaluation findings will provide insight into whether scribes can increase provider productivity and decrease wait times for high demand specialties in the VA without adversely affecting patient satisfaction.

IMPLICATIONS

As a learning health care system, this trial has great potential to increase our understanding of the potential effects of scribes while also informing a real policy problem in high wait times and provider administrative burdens.

The downstream consequences of long waits: How lines at the precinct depress future turnout

Researchers have increasingly paid attention to the impact that the administrative component of elections has on voter behavior. Existing research has focused almost exclusively on the effect that legal changes--such as voter identification laws--have on turnout. This paper extends our understanding of the electoral process by exploring how one aspect of the precinct experience--standing in line to vote--can shape the turnout behavior of voters in subsequent elections. I demonstrate that for every additional hour a voter waits in line to vote, their probability of voting in the subsequent election drops by 1 percentage point. To arrive at these estimates, I analyze vote history files using a combination of exact matching and placebo tests to test the identification assumptions. I then leverage an unusual institutional arrangement in the City of Boston and longitudinal data from Florida to show that the result also holds at the precinct level. The findings in this paper have important policy implications for administrative changes that may impact line length, such as voter identification requirements and precinct consolidation. They also suggest that racial asymmetries in precinct wait times contribute to the gap in turnout rates between white and non-white voters.

Appointment wait time data for primary & specialty care in veterans health administration facilities vs. community medical centers

The datasets summarized in this article include more than 38 million appointment wait times that U.S. military veterans experienced when seeking medical care since January 2014. Our data include both within Veterans Health Administration (VHA) facilities and community medical centers, and wait times are stratified by primary/specialty care type. Deidentified wait time data are reported at the referral-level, at the VHA facility-level, and at the patient's 3-digit ZIP code-level.

As of this writing, no other U.S. health care system has made their wait times publicly available. Our data thus represent the largest, national, and most representative measures of timely access to care for patients of both VHA and community providers. Researchers may use these datasets to identify variations in appointment wait times both longitudinally and cross-sectionally, conduct research on policies and interventions to improve access to care, and to incorporate fine-grained measures of wait times into their analyses.

Type of facility influences lengths of stay of children presenting to high volume emergency departments

Background

Emergency department crowding may impact patient and provider outcomes. We describe emergency department crowding metrics based on presentations by children to different categories of high volume emergency departments in Alberta, Canada.

Methods

This population-based retrospective study extracted all presentations made by children (age < 18 years) during April 2010 to March 2015 to 15 high volume emergency departments: five regional, eight urban, and two academic/teaching. Time to physician initial assessment, and length of stay for discharges and admissions were calculated based on the start of presentation and emergency department facility. Multiple metrics, including the medians for hourly, facility-specific time to physician initial assessment and length of stay were obtained.

Results

About half (51.2%) of the 1,124,119 presentations were made to the two academic/teaching emergency departments. Males presented more than females (53.6% vs 46.4%) and the median age was 5 years. Pediatric presentations to the three categories of emergency departments had mostly similar characteristics; however, urban and academic/teaching emergency departments had more severe triage scores and academic/teaching emergency departments had higher admissions. Across all emergency departments, the medians of the metrics for time to physician initial assessment, length of stay for discharges and for admission were 1h11min, 2h21min, and 6h29min, respectively. Generally, regional hospitals had shorter times than urban and academic/teaching hospitals.

Conclusions

Pediatric presentations to high volume emergency departments in this province suggest similar delays to see providers; however, length of stay for discharges and admissions were shorter in regional emergency departments. Crowding is more common in urban and especially academic emergency departments and the impact of crowding on patient outcomes requires further study.

Supplementary Information

Supplementary information accompanies this paper at 10.1186/s12887-020-02400-6.

Improving patient flow in diagnostic imaging: a case report

INTRODUCTION

This case study focuses on Erie Shores Healthcare, a small Canadian hospital with a busy emergency department (ED) who acts as the sole provider of outpatient diagnostic imaging (DI) services to the community. The hospital is experiencing bottlenecks when balancing outpatient diagnostic procedures with inpatient and urgent ED requests in the X-Ray department, creating the need for increased overtime and missed breaks, as well as frustrations amongst patients, staff and physicians.

CASE AND OUTCOMES

To alleviate these issues and improve patient flow, this case study aims to identify options for increasing efficiency, improving adaptive workflow and decreasing wait times during peak hours in X-Ray.

DISCUSSION

After a literature review, key components were narrowed down to include the following Lean Methods: floor plan evaluation with spaghetti diagrams, collection of benchmarking data from similar Canadian sites, and a real-time Client Flow Analysis. The potential benefits of Technologist Assistants (TA) and DI-dedicated porters are also explored.

CONCLUSION

Lean methodology is an effective way to evaluate and improve patient flow in DI. Healthcare organizations should take advantage of key redevelopment projects and technological advancements to maximize their departmental efficiency.

Evaluation of wait times for assessment and epilepsy surgery according the geographic area of residence in the province of Saskatchewan, Canada

PURPOSE

The aim of this study was to determine and compare the waiting times for surgical assessment, neuropsychological testing and epilepsy surgery between people with epilepsy who live in cities with available neurologists vs not.

METHODS

We reviewed all cases referred for epilepsy surgery between 2007 and 2017 at the Saskatchewan Epilepsy Program Royal University Hospital (SEP) (n = 98; Saskatchewan, Canada). Mann-Whitney U test was used to compare wait times from first diagnosis of epilepsy to epilepsy surgery between patients who live in cities with neurologists (mainly urban areas) vs cities without neurologists (mainly rural areas).

RESULTS

The mean age of patients who enrolled in SEP was 37.8 ± 12.8 years. The median wait time from date of epilepsy diagnosis to referral was 9.5 years in Saskatoon and Regina (cities with available neurologists) and 14 years in other areas of Saskatchewan (small cities and rural areas with no available neurologists) (p = 0.03). The median wait time from date of epilepsy diagnosis to first consult with the epileptologist was 10 years in Saskatoon and Regina and 15.5 years in other areas of Saskatchewan (p = 0.03). The median wait time from date of first diagnosis to epilepsy surgery was 13.2 years in Saskatoon and Regina and 18.2 years in other areas of Saskatchewan (p = 0.05).

CONCLUSION

A notable difference was observed in surgical wait times between patients who live in cities with available neurologists compared with people living in rural areas and cities with no neurologists. This suggests that delayed surgical treatment for epilepsy is related with the availability of neurologists.

Social Media Presence Correlated with Improved Online Review Scores for Spine Surgeons

BACKGROUND

In the next decade, health care reimbursement will be more aligned to patient clinical outcomes. These outcomes are influenced by the patient's perceived opinion of his or her care. An evaluation into the role of surgeon demographics, social media (SM) accessibility, and office wait times was conducted to identify correlations with these among 3 online review platforms.

METHODS

A total of 206 (148 orthopedic, 58 neurosurgery trained) spine surgeons were included. Spine surgeon ratings and demographics data from 3 physician rating websites (Healthgrades.com [HG], Vitals.com, Google.com [G]) were collected in November 2019. Using the first 10 search results from G we then identified if the surgeons had publicly accessible Facebook, Twitter, or Instagram (IG) accounts.

RESULTS

The mean age of the cohort was 54.3 years (±9.40 years), and 28.2% had one form of publicly accessible SM. Having any SM was significantly correlated with higher scores on HG and G. An IG account was associated with significantly higher scores on all 3 platforms, and having a Facebook account correlated with significantly higher scores on HG in multivariate analysis. An office wait time between 16 and 30 minutes and >30 minutes was associated with worse scores on all 3 platforms (all P < 0.05). An academic practice was associated with higher scores on all 3 platforms (P < 0.05).

CONCLUSIONS

A shorter office wait time and an academic setting practice are associated with higher patient satisfaction scores on all 3 physician review websites. Accessible SM accounts are also associated with higher ratings on physician review websites, particularly IG.

Patient factors associated with waiting time to pediatric rheumatologist consultation for patients with juvenile idiopathic arthritis

BACKGROUND

Early diagnosis and treatment of Juvenile Idiopathic Arthritis (JIA) is essential to optimize outcomes. Wait times (WTs) to consultation with a pediatric rheumatologist consultation is a Canadian quality measure, with benchmarks set at 7 days for systemic JIA (sJIA) and 4 weeks for other JIA categories. In this study we assess WTs for JIA at a single academic center and describe factors associated with longer WTs.

METHODS

This was a retrospective cohort study of 164 patients enrolled in a pharmacogenetic study in Alberta between 2002 and 2018. Limited chart reviews were conducted to evaluate dates of referral and first rheumatology visit to calculate WTs for receipt of pediatric rheumatology care. Cox proportional hazard models identified factors associated with WTs considering variables at the first pediatric rheumatology visit including: JIA category, age, sex, distance to the pediatric rheumatology clinic, number of active joints, pain and C-reactive protein.

RESULTS

The median age at diagnosis was 8.0 years (interquartile range, IQR 3.5, 12.0) and 46% of patients had oligoarticular JIA. Only 18 patients (11%) were from rural locations. The median WT for all patients met the national benchmark (22 days, IQR, 9, 44) with no statistically significant difference between WTs among JIA categories (p = 0.055). Importantly, the majority of sJIA cases met the 7-day benchmark (67%) with a median WT of 1.5 days. Older age was associated with longer WT (HR 0.94, 95% CI 0.89, 0.98, p = 0.005).

CONCLUSION

Median benchmarks were met, however delays in older patients highlight the need for monitoring WTs.

Consultation and Surgical Wait Times in Cervical Spondylotic Myelopathy

BACKGROUND

Cervical spondylotic myelopathy (CSM) is the leading cause of spinal cord impairment. In a public healthcare system, wait times to see spine specialists and eventually access surgical treatment for CSM can be substantial. The goals of this study were to determine consultation wait times (CWT) and surgical wait times (SWT), and identify predictors of wait time length.

METHODS

Consecutive patients enrolled in the Canadian Spine Outcomes and Research Network (CSORN) prospective and observational CSM study from March 2015 to July 2017 were included. A data-splitting technique was used to develop and internally validate multivariable models of potential predictors.

RESULTS

A CSORN query returned 264 CSM patients for CWT. The median was 46 days. There were 31% mild, 35% moderate, and 33% severe CSM. There was a statistically significant difference in median CWT between moderate and severe groups; 207 patients underwent surgical treatment. Median SWT was 42 days. There was a statistically significant difference in SWT between mild/moderate and severe groups. Short symptom duration, less pain, lower BMI, and lower physical component score of SF-12 were predictive of shorter CWT. Only baseline pain and medication duration were predictive of SWT. Both CWT and SWT were shorter compared to a concurrent cohort of lumbar stenosis patients (p &lt;0.001).

CONCLUSIONS

Patients with shorter duration (either symptoms or medication) and less neck pain waited less to see a spine specialist in Canada and to undergo surgical treatment. This study highlights some of the obstacles to overcome in expedited care for this patient population.

Understanding the impact of a multispecialty electronic consultation service on family physician referral rates to specialists: a randomized controlled trial using health administrative data

Background

Electronic consultation (eConsult) services are secure online applications facilitating provider-to-provider communication. They have been found to improve access to specialist care. However, little is known about eConsult’s impact on family physicians’ referral rates to specialty care. The objective of this study was to assess the impact of a multispecialty eConsult service on referral rates from primary care.

Methods

In this parallel-arm, randomized controlled trial, we recruited primary care providers across Ontario not previously enrolled with eConsult. We randomly assigned participants to intervention and control arms. Participants in the intervention arm received access to eConsult for a period of 1 year while those in the control arm received no access to eConsult. The main outcome was specialist referral rate, expressed as the total number of referrals to (1) specialties available through eConsult, and (2) all medical specialties, per 100 patients seen. Multivariable negative binomial regression analysis was used to evaluate the effect of the intervention before and after adjusting for provider characteristics, using health administrative data.

Results

One hundred and thirteen participants were randomized (56 to control and 57 to intervention). For the primary outcome (referrals to eConsult specialties), the results show a statistically significant reduction in the number of referrals in both arms (control-arm Rate Ratio (RR), 0.85, 95% CI 0.79 to 0.91; intervention-arm RR, 0.80, 95% CI 0.74 to 0.85; unadjusted and adjusted RR values almost identical), as compared to the baseline data collected during the 12-month period before randomization, with a non-statistically significant 6% greater reduction in referrals in the intervention arm, compared to the control arm (unadjusted RR 0.94, 95% CI 0.85 to 1.03; adjusted RR 0.93, 95% CI 0.85 to 1.03).

Conclusions

Our randomized controlled trial of a multispecialty eConsult service demonstrated inconclusive results in terms of the impact of eConsult on physician referral rates. Findings are discussed in light of important limitations associated with conducting randomized controlled trials (RCTs) of complex interventions in the primary care context with intent to inform the design and analysis of future trials.

Trial registration

Clinicaltrials.gov, ID: NCT02053467. Registered prospectively on 3 February 2014.

Wait lists and adult general surgery: is there a socioeconomic dimension in Canada?

BACKGROUND

Little is known about whether patients' socioeconomic status influences their access to elective general surgery in Canada. The purpose of this study was to assess the association between socioeconomic status and wait times for elective general surgery.

METHODS

Analysis of prospectively recruited participants' data. The setting was six hospitals in the Vancouver Coastal Health Authority, a geographically defined region that includes Vancouver, British Columbia, Canada. Participants had elective general surgery between October 2013 and April 2017, community dwelling, aged 19 years or older and could complete survey forms. The outcome measure was wait time, defined as the number of weeks between being registered for elective general surgery and surgery date.

RESULTS

One thousand three hundred twenty elective general surgery participants were included in the study. The response rate among eligible patients was 53%. Regression analyses found no statistically significant association between patients' wait time with SES, adjusting for health status, cancer status, surgical priority level, comorbidity burden and demographic characteristics. Participants with proven or suspected cancer status had shorter waits relative to participants waiting for surgery for benign conditions. Participants with at least one comorbidity tended to experience shorter waits of approximately 5 weeks (p < 0.01). Pre-operative pain or depression/anxiety were not associated with shorter wait times.

CONCLUSIONS

Although this study found no relationship between SES and surgical wait time for elective general surgeries in the study hospitals, patients in lower SES categories reported worse health when assigned to the surgical queue.

Axe the Fax: What Users Think of Electronic Referral

Long wait times for elective services are seen as one of the major challenges for Canadian healthcare. Canadians report that they wait longer for specialists than citizens in other countries. The main reason for this is that the referral process is poorly coordinated and leads to delays in care. Electronic referral (eReferral) is seen as a potential means of improving the referral process and enabling faster access to care. There is the potential for national implementation of eReferral in Canada to help achieve this aim. However, existing initiatives have encountered challenges with user adoption and users have continued to use fax. A validated tool was used to survey both users of fax as well as users of eReferral. These two groups of users were then compared. Most family physicians using fax were satisfied overall with the process. This highlighted how challenging any change of this engrained technology will be. There were, however, some significant areas were eReferral was superior to fax. This included response time, the overall quality of referral information, completeness of the information, the timeliness of the information, and the format and layout. There is an opportunity to leverage these findings to support the adoption of eReferral and help reduce wait times.

How social media, training, and demographics influence online reviews across three leading review websites for spine surgeons

BACKGROUND CONTEXT

The future of health care is consumer driven with a focus on outcome metrics and patient feedback. Physician review websites have grown in popularity and are guiding patients to certain health-care providers, for better or worse. No prior study has specifically evaluated Internet reviews of spine surgeons, determined if social media (SM) correlates with patient reviews, or evaluated Google as a physician review website.

PURPOSE

This study aimed to evaluate patient satisfaction scores for spine surgeons in Florida using leading physician ratings websites.

STUDY DESIGN

A retrospective study was carried out.

SAMPLE POPULATION

The sample comprised spine surgeons with a review on Healthgrades.com (HG), Vitals.com (V), or Google.com (G) online rating websites as of August 17, 2017.

OUTCOME MEASURES

Number of ratings, number of comments, overall rating, patient-reported wait times, physician website presence, and physician SM presence were the outcome measures.

METHODS

Using the directory of registered North American Spine Society physicians, we identified all spine surgeons practicing in Florida (137 orthopedic trained; 78 neurosurgery trained). Surgeon demographics and ratings data were collected from three physician rating websites (HG, V, G) from July 19, 2017 to August 17, 2017. Using only the first 10 search results from Google.com we then identified if the surgeon had accounts on Facebook (FB), Twitter (TW), or Instagram (IG).

RESULTS

Nearly every surgeon in this cohort had either an institutional or personal website (98.1%), and 38.6% had at least one SM outlet of our three reviewed. Both personal and institutional website presence significantly correlated with higher G scores. Spine surgeons with a searchable account on FB, TW, or IG made up 35.4%, 10.2%, and 0.5% of the cohort, respectively. Surgeons with an SM presence had a significantly higher number of ratings and comments on HG, V, and G, but not overall scores. In multivariable analysis, only V showed a significant inverse correlation between overall score and age, private institution, and orthopedic surgery training. Wait times >30 minutes were significantly associated with worse overall scores across all three review sites. Overall ratings between HG, V, and G all had significantly positive correlations on Pearson correlation analysis.

CONCLUSION

Social media presence correlates with patient communication in the form of number of ratings and comments, yet does not impact overall scores, suggesting social media may influence patient feedback. Longer wait times are indicative of lower scores across all three platforms. Overall ratings from all three websites correlate significantly with each other, indicating agreement between physician ratings across different platforms. Understanding the factors that optimize a patient's overall experience with a physician is an important and emerging outcome measure for the future of patient-centered health care.

Improving Access to Gastroenterologist Using eConsultation: A Way to Potentially Shorten Wait Times

Background

Wait times for gastroenterologists in Canada continue to exceed recommended targets. Electronic consultation (eConsult) may reduce the need for face-to-face gastroenterologist visits.

Objective

The goal of this study was to identify the cases submitted to gastroenterologists though the Champlain BASE™ (Building Access to Specialists through eConsultation) eConsult service and explore their impact on primary care physicians' (PCPs) courses of action.

Methods

Gastroenterology cases submitted between June 2013 and January 2015 were categorized using a modification of the International Classification for Primary Care (ICPC-2) taxonomy. Question type (e.g., diagnosis or management) was classified using a validated taxonomy.

Results

Of the 121 gastroenterology consults reviewed, 33% were related to hepatology, 23% to GI symptoms, and 13% to specific luminal diseases. Among hepatology eConsults (n=40), 47% pertained to abnormal liver function testing. Overall, 51% of eConsults were related to diagnosis, 30% to management, 9% to drug treatments and 7% to procedures. PCPs received a reply within a median of 2.9 days. Only 25% of cases resulted in a face-to-face referral.

Conclusions

The eConsult service provided timely, highly regarded advice from gastroenterologists directly to PCPs and often eliminated the need for a face-to-face consultation. An evaluation of the most commonly-posed questions could inform future continuing medical education activities for PCPs.

Wait Time for Curative Intent Radio Frequency Ablation is Associated with Increased Mortality in Patients with Early Stage Hepatocellular Carcinoma

INTRODUCTION

Radiofrequency ablation (RFA) is a recommended curative intent treatment option for patients with early stage hepatocellular carcinoma (HCC). We investigated if wait times for RFA were associated with residual tumor, tumor recurrence, need for liver transplantation, or death.

MATERIAL AND METHODS

We conducted a retrospective study of patients diagnosed with HCC between January 2010 and December 2013 presenting to University Health Network (UHN) in Toronto, Canada. All patients receiving curative intent RFA for HCC were included. Multivariable Cox regression was used to determine if wait times were associated with clinical outcomes.

RESULTS

219 patients were included in the study. 72.6% were male and the median age was 62.7 years (IQR 55.6-71). Median tumor size at diagnosis was 21.5 mm (IQR 17-26); median MELD was 8.7 (IQR 7.2-11.4) and 57.1% were Barcelona stage 0. The cause of liver disease was viral hepatitis in 73.5% (Hepatitis B and C). The median time from HCC diagnosis to RFA treatment was 96 days (IQR 75-139). In multivariate analysis, wait time was not associated with requiring liver transplant or tumor recurrence, however, each incremental 30-day wait time was associated with an increased risk of residual tumor (HR = 1.09; 95% CI 1.01-1.19; p = 0.033) as well as death (HR = 1.23; 95% CI 1.11-1.36; p ≤ 0.001).

CONCLUSION

Incremental 30-day wait times are associated with a 9% increased risk of residual tumor and a 23% increased risk of death. We have identified system gaps where quality improvement measures can be implemented to reduce wait times and allocate resources for future RFA treatment, which may improve both quality and efficiency of HCC care.

Adjusting patients streaming initiated by a wait time threshold in emergency department for minimizing opportunity cost

Purpose Two different systems for streaming patients were considered to improve efficiency measures such as waiting times (WTs) and length of stay (LOS) for a current emergency department (ED). A typical fast track area (FTA) and a fast track with a wait time threshold (FTW) were designed and compared effectiveness measures from the perspective of total opportunity cost of all patients' WTs in the ED. The paper aims to discuss these issues. Design/methodology/approach This retrospective case study used computerized ED patient arrival to discharge time logs (between July 1, 2009 and June 30, 2010) to build computer simulation models for the FTA and fast track with wait time threshold systems. Various wait time thresholds were applied to stream different acuity-level patients. National average wait time for each acuity level was considered as a threshold to stream patients. Findings The fast track with a wait time threshold (FTW) showed a statistically significant shorter total wait time than the current system or a typical FTA system. The patient streaming management would improve the service quality of the ED as well as patients' opportunity costs by reducing the total LOS in the ED. Research limitations/implications The results of this study were based on computer simulation models with some assumptions such as no transfer times between processes, an arrival distribution of patients, and no deviation of flow pattern. Practical implications When the streaming of patient flow can be managed based on the wait time before being seen by a physician, it is possible for patients to see a physician within a tolerable wait time, which would result in less crowded in the ED. Originality/value A new streaming scheme of patients' flow may improve the performance of fast track system.

Traffic pollutants measured inside vehicles waiting in line at a major US-Mexico Port of Entry

At US-Mexico border Ports of Entry, vehicles idle for long times waiting to cross northbound into the US. Long wait times at the border have mainly been studied as an economic issue, however, exposures to emissions from idling vehicles can also present an exposure risk. Here we present the first data on in-vehicle exposures to driver and passengers crossing the US-Mexico border at the San Ysidro, California Port of Entry (SYPOE). Participants were recruited who regularly commuted across the border in either direction and told to drive a scripted route between two border universities, one in the US and one in Mexico. Instruments were placed in participants' cars prior to commute to monitor-1-minute average levels of the traffic pollutants ultrafine particles (UFP), black carbon (BC) and carbon monoxide (CO) in the breathing zone of drivers and passengers. Location was determined by a GPS monitor. Results reported here are for 68 northbound participant trips. The highest median levels of in-vehicle UFP were recorded during the wait to cross at the SYPOE (median 29,692particles/cm³) significantly higher than the portion of the commute in the US (median 20,508particles/cm³) though not that portion in Mexico (median 22, 191particles/cm³). In-vehicle BC levels at the border were significantly lower than in other parts of the commute. Our results indicate that waiting in line at the SYPOE contributes a median 62.5% (range 15.5%-86.0%) of a cross-border commuter's exposure to UFP and a median 44.5% (range (10.6-79.7%) of exposure to BC inside the vehicle while traveling in the northbound direction. Reducing border wait time can significantly reduce in-vehicle exposures to toxic air pollutants such as UFP and BC, and these preventable exposures can be considered an environmental justice issue.

Gastroenterologist and primary care perspectives on a post-endoscopy discharge policy: impact on clinic wait times, provider satisfaction and provider workload

Background

To reduce unnecessary ambulatory gastroenterology (GI) visits and increase access to GI care, San Francisco Health Network gastroenterologists and primary care providers implemented guidelines in 2013 that discharged certain patients back to primary care after endoscopy with formal written recommendations. This study assesses the longer-term impact of this policy on GI clinic access, workflow, and provider satisfaction.

Methods

An email-based survey assessed gastroenterologist and primary care provider (PCP) opinions about the discharge process. Administrative data and chart review were used to assess clinic access, intervention fidelity, and re-referral rates.

Results

102/299 (34%) of PCPs and 5/7 (71%) of gastroenterologists responded to the survey. 74% of PCPs and 100% of gastroenterologists were satisfied or very satisfied with the discharge process. 80% of gastroenterologists believed the discharge process decreased their workload, while 53.5% of primary care providers believed it increased their workload. 6.7% of patients discharged to primary care in 2013 had re-referrals to GI. Wait time for the third-next-available new outpatient GI clinic appointment had previously decreased from 158 days (2012, pre-intervention) to 74 days (2013, post-intervention). In 2015, wait time was 19 days (p < 0.001 for 2012 vs. 2015).

Conclusions

Primary care providers and gastroenterologists are satisfied with an intervention to discharge patients from gastroenterology to primary care after certain endoscopic procedures, although this conclusion is limited by a relatively low PCP survey response rate. Discharging appropriate patients using consensus criteria from the gastroenterology clinic was instrumental in sustainably reducing clinic wait times with low re-referral rates.

Electronic supplementary material

The online version of this article (10.1186/s12913-017-2819-6) contains supplementary material, which is available to authorized users.

A comparison of waiting times for assessment and epilepsy surgery between a Canadian and a Mexican referral center

Objective

To provide a comprehensive transnational overview of wait times for epilepsy surgery in Canada and Mexico.

Methods

We reviewed all cases referred for epilepsy surgery between 2007 and 2015 at the Saskatchewan Epilepsy Program Royal University Hospital (SEP) (n = 70; Saskatoon, Canada) and the National Institute of Neurology and Neurosurgery (NINN) (n = 76; Mexico City, Mexico) and compared wait times, calculated as the time from diagnosis of epilepsy on assessment at an epilepsy center to epilepsy surgery.

Results

Mean wait times were similar across centers. Mean patient age was 37.4 ± 9 years (NINN) and 36.7 ± 13.2 years (SEP). The mean time from epilepsy diagnosis to referral was 18.9 (NINN) and 16.9 years (SEP), p = 0.30; first consult with the epileptologist, 19.7 (NINN) and 17.4 years (p = 0.23); neuropsychology consult, 21.4 (NINN) and 17.9 years (SEP); video electroencephalogram (video-EEG) telemetry, 21.1 (NINN) and 18.6 months (SEP); initial neurosurgical consult, 21.9 (NINN) and 19.1 years (SEP) (p = 0.35); and epilepsy surgery, 19.7 (NINN) and 19.6 years (SEP) (p = 0.29).

Significance

This is the first study to compare wait times between Canada and Mexico. Despite disparity in their health delivery systems and financial resources, surgical wait times appeared to be protracted in both nations, confirming that delayed treatment is a universal problem that requires collaborative scrutiny.

Organ allocation and utilization in pediatric transplantation

Pediatric transplant candidates include heart, lung, liver, pancreas, small intestine, and kidney. The purpose of this article is to review the history and current methods for determining priority of the above-mentioned transplantable organs. The methods used by the authors involved the review of historical and current manuscripts and UNOS policy documents. We summarized the findings in order to create a concise review of the current policies and wait times for transplantation in pediatric transplant patients.

Patient perspectives on wait times and the impact on their life: A waiting room survey in a chronic pain clinic

BACKGROUND AND AIMS

Chronic pain is a debilitating condition that requires prompt access to care for effective treatment. Wait times for care often exceed benchmark recommendations, with potential consequences to patient health outcomes. The goal of this paper is to gain the perspectives of patients attending a chronic pain clinic regarding the acceptability of current wait times and the impact of their experiences of waiting for chronic pain care.

METHODS

The study took place in a chronic pain clinic at an academic-affiliated teaching hospital in Ottawa, Canada, which housed seven clinicians at the time of the study. New patients attending the chronic pain clinic between July 14, 2014 and August 5, 2015 were eligible to participate based on the availability of the research and clerical staff who administered the survey on a variety of days over the course of the study. Patients completed a self-administered 29-item survey. The survey took approximately five to ten minutes to complete. Questions pertained to patients' socioeconomic factors, chronicity and burden of pain symptoms, and satisfaction with current wait times. Actual wait times were self-reported. Survey results were entered into an Excel spreadsheet, exported to SPSS, and coded numerically to facilitate descriptive analyses using comparative graphs and tables. Open-text responses were reviewed by the authors.

RESULTS

Sixty-six patients completed the survey. While 83% of patients stated that their ideal wait time was less than three months, 32% reported receiving an appointment within this period, and 31% reported waiting a year or more. Only 37% of patients felt the wait time for their appointment was appropriate. During their wait, 41% of patients reported receiving written information about chronic pain and 47% were referred to a local chronic pain management group. 94% reported interference with social/recreational activities and normal activities of daily living, 31% had to miss work or school due to the frequency of ongoing symptoms, and 22% reported being unable to attend work or school altogether. Furthermore, 37% of patients reported visiting the emergency room within the previous year and 65% worried about having a serious undiagnosed disease.

CONCLUSIONS

Our study found that wait times for chronic pain care, even those triaged as urgent cases, far exceeded what patients considered ideal. Only a third of patients received care within three months of making their appointment, while nearly another third waited over a year. During the waiting period, nearly all patients experienced some impact on their day-to-day activities and work or school attendance, half were unemployed, and nearly a quarter reported a complete inability to attend work or school because of pain.

IMPLICATIONS

Wait times for chronic pain care exceed timelines deemed acceptable by patients, causing anxiety and reducing function. The patient perspective must be considered in initiatives attempting to improve access to care for this population with specific needs and goals. Innovative solutions, such as electronic consultation and shared care models, hold promise.

Describing wait time bottlenecks for ED patients undergoing head CT

STUDY OBJECTIVES

Facing increased utilization and subsequent capacity and budget constraints, ED's must better understand bottlenecks and their effect on process flow to improve process efficiency. The primary objective of this study was to identify bottlenecks in obtaining a head CT and investigate patient waiting time based on those bottlenecks.

METHODS

This observational study included all patients undergoing a head CT between July 1, 2013 and June 30, 2014 at a large, urban academic ED with over 100,000 visits per year. The primary study outcome was total cycle time, defined as the elapsed time between patient arrival and head CT preliminary report, divided into four components of workflow.

RESULTS

8312 patients who had a head CT were included in this study. The median cycle time from patient arrival to head CT preliminary report was 3h and 13min with 39min of waiting time resulting from bottlenecks. In the 4-step model (time from patient arrival to head CT order, time from head CT order to head CT scheduled, time from head CT scheduled to head CT completed, and time from head CT completed to head CT preliminary report), each process was the bottleneck 30%, <1%, 27%, and 42% of the time, respectively.

CONCLUSION

Demand capacity mismatch in head CT scanning has a significant impact on patient waiting times. This study suggests opportunities to improve wait times through future research to understand the causes of delays in CT ordering, CT completion and timeliness of radiology reports.

Interventions to reduce wait times for primary care appointments: a systematic review

Background

Accessibility and availability are important characteristics of efficient and effective primary healthcare systems. Currently, timely access to a family physician is a concern in Canada. Adverse outcomes are associated with longer wait times for primary care appointments and often leave individuals to rely on urgent care. When wait times for appointments are too long patients may experience worse health outcomes and are often left to use emergency department resources. The primary objective of our study was to systematically review the literature to identify interventions designed to reduce wait times for primary care appointments. Secondary objectives were to assess patient satisfaction and reduction of no-show rates.

Methods

We searched multiple databases, including: Medline via Ovid SP (1947 to present), Embase (from 1980 to present), PsychINFO (from 1806 to present), Cochrane Central Register of Controlled Trials (CENTRAL; all dates), Cumulative Index to Nursing and Allied Health (CINAHL; 1937 to present), and Pubmed (all dates) to identify studies that reported outcomes associated with interventions designed to reduce wait times for primary care appointments. Two independent reviewers assessed all identified studies for inclusion using pre-defined inclusion/exclusion criteria and a multi-level screening approach. Our study methods were guided by the Cochrane Handbook for Systematic Reviews of Interventions.

Results

Our search identified 3,960 articles that were eligible for inclusion, eleven of which satisfied all inclusion/exclusion criteria. Data abstraction of included studies revealed that open access scheduling is the most commonly used intervention to reduce wait times for primary care appointments. Additionally, included studies demonstrated that dedicated telephone calls for follow-up consultation, presence of nurse practitioners on staff, nurse and general practitioner triage, and email consultations were effective at reducing wait times.

Conclusions

To our knowledge, this is the first study to systematically review and identify interventions designed to reduce wait times for primary care appointments. Our findings suggest that open access scheduling and other patient-centred interventions may reduce wait times for primary care appointments. Our review may inform policy makers and family healthcare providers about interventions that are effective in offering timely access to primary healthcare.

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-017-2219-y) contains supplementary material, which is available to authorized users.

Patient perceptions regarding physician reimbursements, wait times, and out-of-pocket payments for anterior cruciate ligament reconstruction in Ontario

Background

Currently, there is a lack of knowledge regarding patient perceptions surrounding physician reimbursements, appropriate wait times, and out-of-pocket payment options for anterior cruciate ligament reconstruction (ACLR). Our objective was to determine the current state of these perceptions in an Ontario setting.

Methods

A survey was developed and pretested to address patient perceptions about physician reimbursements, appropriate wait times, and out-of-pocket payment options for ACLR using a focus group of experts and by reviewing prior surveys. The survey was administered to patients in a waiting room setting.

Results

Two hundred and fifty completed surveys were obtained (79.9% response rate). Participants responded that an appropriate physician reimbursement for ACLR was $1000.00 and that the Ontario Health Insurance Plan (OHIP) reimbursed physicians $700.00 for ACLR. Seventy-four percent of participants responded that the OHIP reimbursement of $615.20 for the procedure was either lower or much lower than what they considered to be an appropriate reimbursement for ACLR. Over 90% of participants responded that an ACLR should occur within 90 days of injury. Thirty-five percent of participants were willing to pay $750.00 out-of-pocket to have an ACLR done sooner, while 16.4% of participants were willing to pay $2500.00 out-of-pocket to travel outside of Canada for expedited surgery.

Conclusion

This survey study demonstrates that patients’ estimates of both appropriate and actual physician reimbursements were greater than the current reimbursement for ACLR. Further, the majority of individuals report that the surgical fee for ACLR is lower than what they consider to be an appropriate amount of compensation for the procedure. Additionally, nearly all respondents believe that a ruptured ACL should be reconstructed within 90 days of injury. Consequently, a number of patients are willing to pay out-of-pocket for expedited surgery either in Canada or abroad. However, patients’ preferences for shorter wait times must be balanced with the known risk of arthrofibrosis associated with early ACLR.

Electronic supplementary material

The online version of this article (doi:10.1186/s40634-017-0076-6) contains supplementary material, which is available to authorized users.

Examination of patient flow in a rural health center in Malawi

Background

Malawi, like many low-income countries, is facing a severe health worker shortage. A potential stop-gap solution to this crisis is improving the efficiency of health center operations. Given the lack of research on center efficiency in rural health centers in Malawi, we conducted a study to identify deficiencies in center organization and barriers to patient flow.

Methods

We performed a time-motion survey at a rural health center in Ntaja, Malawi over a period of 1 week. We used a standardized questionnaire to collect information on the amount of time a patient spent with each health worker, the number of center staff that attended to each patient, and the total time spent at the center. Additionally, at the end of the visit, we conducted an exit survey to collect demographic information and data on perception of quality of care with the center visit for all patients.

Results

A total of 1018 patients were seen over the five-day study. The average total time spent at the center by the patients was 123 min (2–366 min). Adults had an average total time spent at the center of 111 min (2–366 min) and children 134 min (7–365 min). Patient waiting time (PWT) was higher in the early morning hours ranging from 157 min (between 06:00 and 08:00) to 53 min (between 14:00 and 16:00). Health worker contact time (HCT) was higher for adults (2.3 min) than children (1.7 min). Shorter wait times were associated with higher perceptions of quality of service.

Conclusion

Despite shortages in health workers and funds, opportunities are available to increase efficiency in rural health centers. By removing bottlenecks to increase the productivity of health workers, centers in low-income countries can treat more patients and improve service quality.

Electronic supplementary material

The online version of this article (doi:10.1186/s13104-016-2144-x) contains supplementary material, which is available to authorized users.

Renal Transplantation in Advanced Chronic Kidney Disease Patients

Kidney transplantation is the best option for patients with end-stage kidney disease. It is associated with better quality of life, lower medical costs, less hospitalization, and improved survival compared with wait-listed patients who remain on dialysis. Timely referral for transplantation is essential to reap the maximal benefit and should begin in the advanced chronic kidney disease stage prior to starting dialysis. Shortage of donor organs remains the biggest challenge to transplantation. With the improved success of kidney transplantation, candidate acceptance criteria continue to broaden. This article provides an overview of the pretransplantation multidisciplinary evaluation process detailing the factors that determine transplant candidacy.

Patients' preferences regarding the delivery of health care in a hand surgical practice

BACKGROUND

The Patient Protection and Affordable Care Act of 2010 includes patient satisfaction scores in the calculation of reimbursement for services provided. The Medicare and Medicaid Electronic Health Care Record Incentive Program mandate that physicians provide electronic communication with patients. Little data exists regarding patient preferences that might guide the physician adhering to these guidelines. We performed a survey study to examine patients' attitudes regarding the delivery of their health care.

METHODS

We provided an anonymous survey to all outpatient hand surgery patients within a 1-month period at our level I academic center. The survey was structured to ascertain patients' attitudes toward outpatient wait times as well as delivery of patient-specific healthcare-related information. One-hundred and ninety-six surveys were available for review.

RESULTS

Of the 196 patients surveyed, 106 (54 %) were between the ages of 45 and 64. Patients aged 25 to 44 were the least willing to wait for an initial outpatient appointment. The majority of patients in all age groups demonstrated unwillingness to wait more than 1 week for evaluation of a new problem. One hundred and forty patients (71 %) were willing to wait longer for an appointment with an upper extremity specialist rather than have an earlier appointment with a non-upper extremity specialist. Wait times of 30 min after arrival in the office were acceptable to 174 patients (89 %) while 40 patients (20 %) were willing to wait an hour or more. Patients preferred a typed handout detailing their specific problem as opposed to referral to a website or an e-mail containing information.

CONCLUSIONS

The results of our study indicate that patients prefer typed information as opposed to e-mail or websites regarding their health care. Our study also suggests that patients are willing to endure longer wait times if they can be given a sooner appointment, and most prefer a specialist for their problems. These results will provide some guidance to the physician regarding what patients find most appealing.

Patient-expressed perceptions of wait-time causes and wait-related satisfaction

BACKGROUND

This study set out to identify patterns in the causes of waits and wait-related satisfaction.

METHODS

We conducted qualitative interviews with urban, semi-urban, and rural patients (n = 60) to explore their perceptions of the waits they experienced in the detection and treatment of their breast, prostate, lung, or colorectal cancer. We asked participants to describe their experiences from the onset of symptoms to the start of treatment at the cancer clinic and their satisfaction with waits at various intervals. Interview transcripts were coded using a thematic approach.

RESULTS

Patients identified five groups of wait-time causes: Patient-related (beliefs, preferences, and non-cancer health issues)Treatment-related (natural consequences of treatment)System-related (the organization or functioning of groups, workforce, institution, or infrastructure in the health care system)Physician-related (a single physician responsible for a specific element in the patient's care)Other causes (disruptions to normal operations of a city or community as a whole) With the limited exception of physician-related absences, the nature of the cause was not linked to overall satisfaction or dissatisfaction with waits.

CONCLUSIONS

Causes in themselves do not explain wait-related satisfaction. Further work is needed to explore the underlying reasons for wait-related satisfaction or dissatisfaction. Although our findings shed light on patient experiences with the health system and identify where interventions could help to inform the expectations of patients and the public with respect to wait time, more research is needed to understand wait-related satisfaction among cancer patients.

Understanding self-organized regularities in healthcare services based on autonomy oriented modeling

Self-organized regularities in terms of patient arrivals and wait times have been discovered in real-world healthcare services. What remains to be a challenge is how to characterize those regularities by taking into account the underlying patients' or hospitals' behaviors with respect to various impact factors. This paper presents a case study to address such a challenge. Specifically, it models and simulates the cardiac surgery services in Ontario, Canada, based on the methodology of Autonomy-Oriented Computing (AOC). The developed AOC-based cardiac surgery service model (AOC-CSS model) pays a special attention to how individuals' (e.g., patients and hospitals) behaviors and interactions with respect to some key factors (i.e., geographic accessibility to services, hospital resourcefulness, and wait times) affect the dynamics and relevant patterns of patient arrivals and wait times. By experimenting with the AOC-CSS model, we observe that certain regularities in patient arrivals and wait times emerge from the simulation, which are similar to those discovered from the real world. It reveals that patients' hospital-selection behaviors, hospitals' service-adjustment behaviors, and their interactions via wait times may potentially account for the self-organized regularities of wait times in cardiac surgery services.

Current practices and challenges of adjuvant chemotherapy in patients with colorectal cancer

Colorectal cancer is one of the most commonly diagnosed cancers in men and women in the developed world. Although surgery is the foundation of curative treatment, adjuvant chemotherapy also improves overall and disease-free survival in high-risk stage II and all stage III patients. Research strongly suggests that the timing from surgery to adjuvant chemotherapy is critical, because delays to the start of treatment significantly affect patient outcomes. Both clinical and systemic barriers, such as postoperative complications and institutional wait times, challenge the timely administration of adjuvant chemotherapy. Further research investigating solutions to overcome these barriers is needed.

Plastic surgery wait times in Ontario: A potential surrogate for workforce demand

BACKGROUND

Accurate projections of plastic surgeon workforce requirements are essential to ensure a high standard of care and to properly allocate health care resources. Wait-time data were used to identify geographical areas that may benefit from additional plastic surgeons.

METHODS

Plastic surgery wait times were analyzed using data from Ontario's Wait Time Information System for 2009 to 2010. Data were compared with benchmarks published by the Canadian Society of Plastic Surgeons, and plastic surgeon density was captured by the Ontario Physician Human Resources Data Centre.

RESULTS

Aggregate plastic surgery wait times at the 90th percentile failed to meet targets based on priority. For priority 2 (target = 28 days) and priority 3 cases (target = 84 days), wait times were 35 and 101 days, respectively (P<0.05). Wait times also consistently exceeded provincial standards in the southwestern (Local Health Integration Network [LHIN] 2), eastern (LHINs 10 and 11) and northeastern (LHIN 13) regions of Ontario. A negative correlation (r=-0.37; P<0.05) between wait times and surgeon density for priority 4 cases was observed, suggesting that more surgeons per capita is associated with shorter wait times for these lower-priority cases. In contrast, a positive correlation was observed for priority 2 (r=0.50; P<0.05) and priority 3 cases (r=0.35; P<0.05).

CONCLUSION

Plastic surgery wait times in Ontario exceeded benchmarks in several geographical regions. Paradoxically, for high-priority cases, wait times were longer in LHINs with a higher density of plastic surgeons. Further investigation into patient mobility, physician practice patterns and the availability of hospital resources, such as hospital beds or operating room time, is required.

Factors affecting surgical wait times for breast reconstruction

OBJECTIVE

To examine factors that affect wait times for women seeking breast reconstruction at a Canadian academic centre.

METHODS

A retrospective audit of 57 women seeking breast reconstruction over a three-year period was completed. Comparisons of wait times were made considering the surgical pathology, timing of reconstruction (immediate versus delayed), urgency of pathology, method of reconstruction (implant versus autologous) and the number of surgeons involved. Specifically, the wait times from referral to specialist consultation, consultation to surgery, and referral to surgery were examined.

RESULTS

WOMEN WITH ACTIVE CANCER (DUCTAL CARCINOMA IN SITU: 43 days, invasive cancer: 40 days) had shorter wait times compared with those who had no active cancer (benign/high risk: 242 days, previously treated cancer: 343 days) (P<0.05). Women seeking delayed reconstruction had longer wait times (359 days) from referral to surgery than women seeking immediate reconstruction (98 days) (P<0.0001). Women seeking reconstruction at the time of mastectomy, with benign/high-risk disease, waited longer (242 days) than those with ductal carcinoma in situ (43 days) or invasive cancer (40 days) (P<0.001). Wait times for autologous free tissue transfer (213 days) were not significantly longer compared with implant reconstruction (116 days) (P=0.27). Women with acute cancer experienced similar wait times for implant reconstruction (44 days) as for a free tissue transfer (56 days) (P=0.46). Women with no acute cancer had similar wait times for implant (239 days) as free tissue transfer (369 days) (P=0.25). Patients requiring only plastic surgeons involved in the reconstructive effort waited longer (one surgeon: 299 days, two surgeons: 550 days) than patients requiring either two plastic surgeons and one general surgeon (130 days) or one plastic surgeon and one general surgeon (82 days) (P<0.05). Although more coordination is required with three surgeons, this is frequently associated with a diagnosis of acute cancer and, therefore, wait times are shorter.