Average Wait Time Research Articles

Outpatient Factors Implicated in Timing of Delayed Elective Inguinal Hernia Repair in Premature Neonates: Single Center Analysis Brings Up a Touchy Issue and Balancing Metric

IntroductionAmong premature infants, the incidence of inguinal hernias (IH) has been reported to be as high as 10–30%. We performed this study to characterize the association between individual and systemic variables that may affect diagnosis to definitive operative repair of the premature neonatal IH in the outpatient setting. MethodsA single center cohort retrospective review analyzing IH repair in the premature neonatal (<37 GA) population was performed. Data was collected between 2013 and 2022. The cohort was defined as patients who underwent repair before the age of 1 and excluded patients with major medical comorbidities or underwent simultaneous major abdominal surgeries. ResultsOf the 836 premature neonates who underwent IH repair, the majority (73%) were repaired electively. Patients were characterized into risk cohorts a-priori. High-risk patients (HR, n = 43) were more likely to have Government insurance (67%). There was a significant difference in HR patient time to surgery between Government versus Commercial insurance, 10.6 versus 4.7 days, respectively (95% CI -11.09 to −0.4396, p = 0.0345). HR patients were also seen more frequently (clinic or emergency department) prior to operative repair (2.51 vs 1.72 95% CI –1.296% to −0.289%, p = 0.0021). A multivariate linear regression model demonstrated that risk class (p = 0.0244), touches (p < 0.0001), GA (p < 0.001), and prior authorization (p < 0.0001) were significantly associated with time to hernia repair. ConclusionsSystemic variables such as insurance type may increase average wait time for elective outpatient IH repair. This increase in wait time is associated with an increased number of healthcare visits. Therefore, timely access to surgical care prevents potential harm and may decrease health system burden. Type of StudyRetrospective comparative study/cohort study. Level of EvidenceIII.

Bridging distances and saving costs: insights from a pilot project of telerheumatology in a rural area of Pakistan.

Enhancing access to healthcare remains a formidable challenge in rural regions of low- and lower-middle-income countries. Amid evolving healthcare challenges, telerheumatology provides opportunities to bridge gaps and expand access to rheumatology care, particularly in remote areas. We describe a pilot telerheumatology program and its cost-, time-, and travel-saving potential in a remote rural setting in northern Pakistan. The telerheumatology program commenced at the Pakistan Institute of Medical Sciences Islamabad, providing services through video consultations to a basic health unit in the Gilgit-Baltistan region. Patients visiting from the Gilgit-Baltistan region willing to participate were recruited in the program. Demographics and logistical metrics were recorded in a dedicated registry. A total of 533 consultations were carried out from April 2022 to April 2023. The majority of the patients were female (318/533, 59.7%). The median age of patients was 50 ± 15.7 years. The average wait time for consultation was 20 ± 13 min. The average travel time to reach telecentre was 59 ± 53 min. The average travel cost to reach telecentre was 379 ± 780 PKR (1.85 ± 3.81 USD). The average duration of consultation was 15 ± 5 min. The most common diagnosis for consultation was knee osteoarthritis (237, 44.5%), chronic low back pain (118, 22.1%), and rheumatoid arthritis (42, 7.9%). On average, patients saved 787 ± 29 km of distance, 15 ± 1 h of traveling, and 6702 ± 535 PKR (33 ± 3 USD) that would have been required to travel to our tertiary care hospital. Telerheumatology substantially reduced travel time, distance, and cost for patients. It has the potential to deliver outpatient rheumatology consultation in an economically efficient manner, effectively breaking geographical barriers and expanding access to essential services for patients in remote areas.

Optimizing Priority Queuing Systems with Server Reservation and Temporal Blocking for Cognitive Radio Networks

In the domain of cognitive radio (CR), unlicensed users have the opportunity to efficiently use available spectrum bands without interfering with licensed primary users (PUs). Our study addresses the challenge of secondary user (SU) spectrum shortage due to high arrival rates of licensed users. We propose two models aimed at improving the average total waiting time for SUs in such scenarios. These models incorporate non-acquired and preemptive priority mechanisms within the M/D/1 model of a PU delay system. Through quantitative evaluations and Monte Carlo simulations, we evaluate the performance of these models. Our findings show significant improvements in average waiting time for both PUs and SUs, especially under the priority scheme. Furthermore, we explore these models in the context of real-time systems, considering the limited buffer capacity for both user types. This further improves the average waiting time for PUs and SUs in both priority schemes. Our contribution lies in providing effective solutions to mitigate SU shortages in CR networks, providing insight into priority-based approaches and real-time system considerations.

Early surgery within 48 hours of admission for hip fracture did not improve 1-year mortality in Japan: a single-institution cohort study.

Early surgery for hip fracture, within 48 hours of hospital admission, is effective in reducing mortality. However, the average preoperative waiting time for hip fractures in Japan is 4.5 days and the 1-year mortality rate after a hip fracture is 10% in Japan. This study aimed to investigate whether early surgery, within 48 hours, could reduce the 1-year mortality rate in patients with hip fractures in Japan. This cohort study involved 402 consecutive patients with hip fractures who underwent surgical treatment between January 2013 and September 2019. The exclusion criteria were an age of <60 years and in-hospital injury. A total of 389 patients were included in this study. The patients were divided into two groups: those who underwent early surgery within 48 hours of admission (early group) and those who di not undergo early surgery (delayed group). We compared patient characteristics and treatment outcomes between the 2 groups. A comparison of patient characteristics revealed that the early group had lower hemoglobin levels (P=0.046), lower C-reactive protein levels (P = 0.031), lower numbers of patients with weekend hospitalization, lower numbers of patients with a history of using medications that may cause bleeding (P < 0.01), and who received general anaesthesia (P < 0.01). However, there were no significant differences with regard to the other variables between the 2 groups. A treatment outcome analysis showed that the early group had shorter waiting times for surgery (P < 0.01) and shorter stays in acute-care wards (P < 0.01). However there were no differences in the total hospital stay, Barthel index at discharge, home discharge rates, in-hospital mortality rates, and 1-year mortality. Our findings indicate that early surgery did not reduce the 1-year mortality rate in older patients with hip fractures in Japan.

PMRNA: Parameter matching of realtime and non‐realtime applications for resource provisioning in fog‐integrated cloud

SummaryFog computing, an emerging technology, extends Cloud computing services to the network's edge in the proximity of the application request. This extension yields improvement in Bandwidth (BW) utilization, faster responses to Real‐Time (RT) and Internet of Things (IoT) requests, and the provision of the heterogeneous resource services. While extensive work has been conducted on resource allocation for RT and Non‐Real‐Time (NRT) requests separately in Fog as well as Cloud computing, there is limited focus on resource provisioning for mixed RT and NRT requests in the Fog‐integrated Cloud (FiC) environment. Moreover, the majority of the existing provisioning methods primarily consider parameters from the system's perspective, overlooking crucial user aspects such as deadline and request size. To address the gap, this work introduces a resource provisioning method named “Parameter Matching of Realtime and Non‐Realtime Applications (PMRNA),” which considers user parameters and resource information, gathered by the broker. The performance evaluation of the proposed model is done in CloudSim, using various combinations of RT and NRT requests along with diverse Fog and Cloud resource configurations. Evaluation metric includes average Execution Time (ET), average Waiting Time (WT), average Turn Around Time (TAT), and resource utilization. The experimental results demonstrate a significant reduction in both average WT and average TAT for the diverse pool of RT and NRT requests in the FiC compared to the Cloud‐only environment.

Audiology-led model provides efficient and effective access to grommet surgery

ABSTRACT Children with otitis media who are referred to paediatric otorhinolaryngology (ORL) departments often experience significant delays in treatment. Alternate models of care utilising audiologists with extended scopes of practice can potentially improve outcomes in services experiencing difficulties with high demand and insufficient ORL capacity. An Advanced Audiology Practitioner (AAP) service was implemented in Counties Manukau to combat known long wait times for children with otitis media. This study aimed to retrospectively evaluate the clinical and service outcomes of the 165 children referred to the AAP service during the initial 3 month period of operation. Engagement with the AAP service was high, with a 96% attendance rate at the first appointment. The proportion of children waiting longer than recommended (>120 days) for paediatric ORL appointments was reduced by 33%, and the average wait time for children seen in the AAP service was reduced from 196 to 14 days. The AAP model provided an efficient and effective clinical service, with 55% of children seen in a single visit and 91% of waitlisted children having middle ear effusion on myringotomy. In conclusion, the AAP model improves access to ORL treatment, particularly for children at risk for otitis media and associated hearing loss.

P184 Geographical variations in delivery of intravenous treatments for ANCA-associated vasculitis

Abstract Background/Aims Timely access to intravenous immunosuppressant therapy is essential to effectively manage systemic vasculitis; however, significant variations in care and outcomes exists across centres. We systematically evaluated access to treatment for ANCA-associated vasculitis across the UK and Ireland. Methods This multi-method study included: a survey of 87 UK and Ireland Vasculitis Society sites and 11 Scottish Health Boards between Nov 2020 and June 2021; interviews with staff and patients with systemic vasculitis. Survey data was analysed descriptively. Interviews were audio or video recorded and analysed thematically. Results 59 responses from 51 Trusts/Health Boards across Scotland (n = 11), England (n = 33), Wales (n = 2), and Ireland (n = 5) included equal numbers of rheumatology and nephrology vasculitis services across diverse healthcare settings. 67 healthcare professionals across six case studies in Scotland (n = 3) and England (n = 3) and 32 patients with systemic vasculitis were interviewed. Services faced significant challenges in prescribing and delivering high-cost drugs to manage systemic vasculitis: balancing accountability versus bureaucracy, and tensions between different specialties looking after vasculitis patients when implementing access to high-cost drugs via multi-disciplinary networks. There was significant variation in how services delivered intravenous treatments: 10%(5/51) used inpatient beds; 35% (18/51) accessed another specialty unit or shared a daycase facility; 65% (33/51) used their own specialty daycase unit. Average wait time for urgent IV treatment was 2.67 days (range 1-10 days). 18% of services had waiting times &amp;gt;7 days, and of those 67% accessed intravenous treatments via another daycase facility. Specific challenges in accessing daycase facilities included availability of slots and staff, particularly in shared units, due to competition with other services and limited awareness of the importance of timely treatment for systemic vasculitis. This could impact on timing and treatment decisions e.g., prolonged steroid prescriptions. Staff training, competencies and governance to deliver cytotoxic drugs was problematic, particularly for smaller services, and 70% of services said national training modules would be helpful. Oncology units could provide workarounds but daycase nurses with vasculitis knowledge were a valuable source of advice and support for patients attending for treatments, identifying medical issues and arranging assessment if required. Conclusion There is significant variation in access to intravenous treatment for systemic vasculitis. Healthcare organisations should ensure timely access to urgent intravenous treatment for systemic vasculitis within 7 days and appropriately trained staff. National training modules for non-cancer chemotherapy could facilitate equitable access to training. Where treatment is delivered via other units, greater awareness of systemic vasculitis would help provision of information and support for patients. Disclosure W. James: None. A. Nicoll: None. L. Locock: None. L. Harper: None. M. Little: None. N. Basu: None. R.J. Hollick: None.

Disparities in Access to Diagnostic Evaluation for Alzheimer's Disease in Individuals Dually Eligible for Medicare and Medicaid: A Modeling Study.

Individuals dually eligible for Medicare and Medicaid (duals) may face greater obstacles to access to disease-modifying Alzheimer's treatments in spite of their higher disease burden, because of clinicians' reluctance to accept Medicaid and the so-called "lesser of" policy, under which Medicaid may pay providers lower rates. To project differential wait times for duals compared to Medicare-only beneficiaries by state. We used State Medicaid payment policy and Medicare enrollment data and a Markov model to predict differential wait times for duals and non-duals from 2023 to 2050. We estimated available diagnostic appointments by state for both groups based on reluctance of clinicians to accept Medicaid and the "lesser of" policy for each year. We estimate overall average wait times of almost two years (22.9 months) but almost three times as long for duals (59.8 months) than non-duals (20.7 months) because of higher disease burden. The effects of Medicaid payment policy would increase average wait times for duals to 89 months with 20 states having wait times of 99 months or more, which would effectively deprive duals of access. The added average wait times in many states would effectively deprive duals from access to treatment and translate into avoidable disease progression and mortality. Policy interventions to reduce financial and nonfinancial obstacles are dearly needed to avoid deepening disparities. Examples are coverage arrangements that integrate Medicare and Medicaid coverage, covering the co-payment for physician services in full, and stricter network adequacy requirements for Medicaid Managed Care plans.

A Granular Approach to Optimal and Fair Patient Placement in Hospital Emergency Departments

Prolonged emergency department (ED) length of stay (LOS) is associated with detrimental effects on patient care quality and outcomes. There is evidence that certain groups of patients experience longer LOS based on their gender or race, especially with regard to the part of LOS that is attributable to waiting to be seen by a clinician. This work tackles the patient prioritization and placement aspects of ED operations with the goal of improving throughput and wait time in a fair, equitable way. We present a novel Mixed Integer Linear Programming (MILP) predictive-prescriptive formulation that incorporates a breakdown of predicted patient ED LOS into actionable pieces. We incorporate considerations for fairness and reformulate the MILP formulation into a compact and computationally tractable formulation that can be solved efficiently in real time. To deal with uncertainty, we propose a sampling-based solution, and provide provable guarantees regarding its convergence, stability and sample complexity. The proposed solution increases the throughput of the ED by [Formula: see text] and decreases the average wait time by [Formula: see text] compared to current hospital practice. In addition, the method is near-optimal in terms of throughput, and produces high-quality solutions in terms of average wait time compared to a clairvoyant oracle. Our proposed approach demonstrates desirable properties when it comes to fairness in patient prioritization, illustrating a path for addressing hidden biases in patient ED wait times and hospital operations as a whole. This work was conducted in collaboration with a large US academic medical center. Data from more than 40,000 patient visits were used to shape and evaluate the predictive-prescriptive models. An important practical contribution is translating a complex algorithm’s output into recommendations that can be operationalized in the context of existing processes in the ED. Specifically, we develop an interpretable metamodel that is trained to mimic the predictive-prescriptive algorithm’s decisions and provides a transparent set of rules for patient placement. The method will be used by the hospital to improve patient flow and quality of care as well as to support more fair and consistent bed allocation decisions.

Outpatient hospitalist-run procedure service bridges the gap in oncology care

Hospitalist-run procedure teams enable expedited care in the inpatient setting. However, wait times for outpatient interventional radiology (IR) are long at our institution. Our study thus aims to compare the safety and wait times between procedural teams and IR placement of outpatient temporary hemodialysis catheters (THDC) for patients undergoing Chimeric antigen receptor T-cell (CAR-T) therapy apheresis. A retrospective chart review was conducted on all patients receiving outpatient THDC for CAR-T therapy from August 2019 until November 2022. During our study period, only 7 of the central lines were placed by IR, while 75 were placed by the procedure service. The average wait time from CAR-T consenting to procedure was 8.9 days for the procedure service and 14.7 days for IR. The 30 day minor complication rate was low – 2.7% in the procedure group, and 0% in the IR group. No major complications were noted in either group

Reducing wait times and medical costs for patients: the physiotherapy-led Spine Triage and Rehabilitation (STAR) Clinic

The Sengkang General Hospital Orthopaedic Spine Outpatient Service is facing a growing challenge of increasing number of referrals and waiting times, placing a significant burden on the system. Primary care...

Analysis of Density and Patient Wait Times In Terms of System Management In Turkish Hospitals: Setting A Pattern by Days and Hours of The Week

The time spent waiting is an important problem regarding patient satisfaction and hospital efficiency, and increases the need for evidence-based information for management to make decisions towards a solution. This study aims to examine the process flows in hospitals based on actual data with the intent to design a better service delivery system and set a pattern in terms of determining the congestion in the process and planning the necessary improvements. For this purpose, the data sets for 2016 pertaining to secondary and tertiary level hospitals in Turkey, which are stored in the central physician appointment system (CPAS), are investigated. The data is analyzed through pre-processing, cleaning and transformation stages. Congestion patterns are determined by days and hours spent in hospitals. Monday is found to be the day with the highest patient density and the longest wait time in Turkish hospitals. Additionally, when analyzed by working hours, it is determined that the first 2 hours in the morning (9.00 a.m. to 11.00 a.m.) is the period when most patentse are examined. The lunchtime (between 12.00 p.m. - 1.00 p.m.) and the afternoon from 4.00 p.m. to 5.00 p.m. are the times when patient density is the lowest, but average wait time is the longest. Turkish hospitals are found to be particularly congested on some days and during some hours regarding patient wait times. Thus, policy recommendations can be developed specifically to the days and times when congestion patterns are identified rather than suggesting a general policy. This study is the most comprehensive study conducted in Turkey through process data. The working model is reproducible in different countries and regions.

Reducing Time to Diagnosis of Autism Spectrum Disorder Using an Integrated Community Specialty Care Model: A Retrospective Study

ObjectiveTo evaluate a fast-track triage model in an integrated community specialty clinic to reduce the age of diagnosis for patients with autism spectrum disorder (ASD). Study designA retrospective chart review was performed for patients seen in an integrated community specialty (ICS) pediatric practice using a fast-track screening and triage model. The percentage of ASD diagnoses, age at diagnosis, and time from referral to diagnosis were evaluated. The fast-track triage model was compared with national and statewide estimates of median age of first evaluation and diagnosis. ResultsFrom January 1, 2020, through December 31, 2021, 189 children with a mean (SD) age of 32.2 (12.4) months were screened in the ICS. Of these, 82 (43.4%) children were referred through the fast-track triage for further evaluation in the developmental and behavioral pediatrics (DBP) department, where 62 (75.6%) were given a primary diagnosis of ASD. Average wait time from referral to diagnosis using the fast-track triage model was 6 months. Mean (SD) age at diagnosis was 37.7 (13.5) months. The median age of diagnosis by the fast-track triage model was 33 months compared with the national and state median ages of diagnosis at 49 and 59 months respectively. ConclusionWith the known workforce shortage in fellowship-trained developmental behavioral pediatricians, the fast-track triage model is feasible and maintains quality of care while resulting in more timely diagnosis, and reducing burden on DBP by screening out cases who did not require further multidisciplinary DBP evaluation as they were appropriately managed by other areas.

Assessment of Barriers to Referral and Appointment Wait Times for the Evaluation of Spinal Muscular Atrophy (SMA): Findings from a Web-Based Physician Survey.

Spinal muscular atrophy (SMA) is an autosomal recessive neuromuscular disease characterized by progressive muscle weakness and atrophy. Clinical trial data suggest early diagnosis and treatment are critical. The purpose of this study was to evaluate neurology appointment wait times for newborn screening identified infants, pediatric cases mirroring SMA symptomatology, and cases in which SMA is suspected by the referring physician. Approaches for triaging and expediting referrals in the US were also explored. Cure SMA surveyed healthcare professionals from two cohorts: (1) providers affiliated with SMA care centers and (2) other neurologists, pediatric neurologists, and neuromuscular specialists. Surveys were distributed directly and via Medscape Education, respectively, between July 9, 2020, and August 31, 2020. Three hundred five total responses were obtained (9% from SMA care centers and 91% from the general recruitment sample). Diagnostic journeys were shorter for infants eventually diagnosed with SMA Type 1 if they were referred to SMA care centers versus general sample practices. Appointment wait times for infants exhibiting "hypotonia and motor delays" were significantly shorter at SMA care centers compared to general recruitment practices (p = 0.004). Furthermore, infants with SMA identified through newborn screening were also more likely to be seen sooner if referred to a SMA care center versus a general recruitment site. Lastly, the majority of both cohorts triaged incoming referrals. The average wait time for infants presenting at SMA care centers with "hypotonia and motor delay" was significantly shorter when initial referrals were triaged using a set of "key emergency words" (p = 0.036). Infants directly referred to a SMA care center versus a general sample practice were more likely to experience shorter SMA diagnostic journeys and appointment wait times. Triage guidelines for referrals specific to "hypotonia and motor delay" including use of "key emergency words" may shorten wait times and support early diagnosis and treatment of SMA.

International collaboration between low-middle-income and high-income institutions to improve radiation therapy care delivery.

The Philippines is a lower-middle-income island country with over 153 000 new cancer diagnosis each year. Despite many patients needing radiotherapy as part of disease management, there remains limitations to access. Currently, the Philippines has 50 linear accelerator facilities serving a population of 110 million. However, given the recommendation of 1 linear accelerator for every 250 thousand people, it is evident that the demand for accessible radiotherapy resources is significantly underserved in the country. This paper outlines the collaboration between GenesisCare Solutions (GCS) and Fairview Cancer Center (FCC) to address efficiency and access within the radiotherapy department at FCC. Through international collaboration between GCS and FCC, areas for improvement were identified and categorized into four domains: Dosimetry quality, Patient workflow, Data & Reporting, and Information Technology (IT) Infrastructure. Action plans were developed then implemented. A baseline measurement was obtained for each domain, and post-implementation evaluation undertaken at 3 months, 6 months, and 12 months. Data captured within the electronic medical record system was extrapolated, and average treatment times were established for pre- and post-engagement. A paired, 2-tailed t-test was used for statistical analysis of outcome parameters using IBM SPSS version 23 for all statistics. Twelve months post-initial engagement, all four domains saw positive outcomes. Improved plan quality linked to Intensity Modulated Radiotherapy (IMRT) utilization rates saw an increase from 20% to 54%. A significant reduction in patient average wait times was also observed, from 27 to 17 min (p≤0.001). Prior to engagement, tracking patient demographics and diagnosis was not prioritized, post engagement an average of 92% diagnosis entry compliance was achieved. Through the collaboration of GCS and FCC, objectives in all action plan domains were achieved, highlighting the benefits of collaboration between low-middle-income and high-income institutions.

A108 AN EVALUATION OF IMPLEMENTATION OF A CENTRALIZED REFERRAL AND BOOKING PROCESS ON WAIT TIMES FOR COLONOSCOPIES

Abstract Background Colonoscopies in the majority of centres in Ontario are booked by individual endoscopists via their individual offices (practices). As such, wait times for procedures will vary significant from centre to centre, or even from endoscopist to endoscopist at the same centre, depending on individual expertise, experience, procedure types, and local availability of endoscopic resources. This system could lead to significant variability in access to care for patients. Aims This study analyzed the effect of implementing a centralized referral and booking process for colonoscopy, for a specific indication, at a single centre in Ontario. Methods This was a single centre retrospective study analyzing wait times for patients that underwent a colonoscopy at Cambridge Memorial Hospital (CMH) between April 2017 to July 2022 for either positive fecal occult blood test (FOBT) or fecal immunochemistry test (FIT). The province of Ontario transitioned from FOBT to FIT as the primary tool for colon cancer screening in 2019. Prior to this transition, colonoscopy for positive FOBT performed at CMH were booked by individual endoscopists, with wait times from referral to procedure having great variability. In conjunction with Ontario’s transition to FIT for colon cancer screening, all endoscopists at CMH agreed to participate in a centralized referral and booking process specifically for colonoscopy for positive FIT indication. A chart review of all patients undergoing colonoscopy for either FOBT (non central booking) or FIT (central booking). Patients that self-delayed were excluded. Wait times (WT) was calculated as time between date of referral and date of procedure. The effect of the centralized booking system on wait times was then assessed using statistical analysis. Results In total, 344 patients were included for analysis from before March 2019 (non centralized booking process). The average WT in this group was determined to be 99.2 days (range 50-171 days), of which 147 patients had a WT of less than 56 days (42.7%). In contrast, a total 572 patients were included for analysis after March 2019 (centralized booking process), the average WT was determined to be 44.2 days (range 32-59 days), of which, 526 patients had a WT of less than 56 days (92.0%). The centralized booking process reduced average wait times by 55 days (55.4%), and improved procedure WTs meeting mandated time frame of 56 days by 49.3%. This improvement in wait times was most pronounced for endoscopists with the longest wait times in a non centralized system. Conclusions The implementation of a centralized referral and booking process (for a single indication for colonoscopy) was associated with significantly reduced WTs. These findings suggest a centralized referral and booking process (for well defined clinical needs) can potentially significantly improve patient wait times. Funding Agencies None

Socioeconomic factors influence surgical wait times for non-emergent gynecologic surgical procedures: a retrospective analysis

BackgroundIn various disciplines, an association between surgical wait times and patient outcomes has been identified. This study is among the first to investigate whether practice setting influences wait times for elective surgeries in benign gynecology.MethodsThis retrospective study of patients at three New York hospitals from 10/2019–2/2020 compared surgical wait times among patients seen in federally-qualified health centers (FQHC’s) and private practice settings. Emergent surgeries, oncology cases, abortions, urogynecology procedures, and cases concurrently booked with another specialty were excluded. Surgical wait time was defined as the time (days) from the decision to operate to the day of the procedure. A multivariable mixed model was used to model surgical wait time by setting of care, adjusting for age, BMI, race, ethnicity, insurance, need for medical clearance, and scheduled block time. A univariable analysis was then utilized to assess surgical wait times by clinical setting for each insurance type.ResultsFive hundred forty patients were identified with a median age of 45.6 years (range 16–87). Average surgical wait time was 27 days (range 1–288 days). In multivariable analysis, longer surgical wait times were associated with being seen preoperatively in a FQHC compared to the private practice setting (102% longer, 59.5 days vs. 22 days, p < 0.0001), and with needing medical clearance (56.4% longer, 45 days vs. 22 days. p = 0.0001).ConclusionsThese results suggest that in benign gynecology, surgical wait times are significantly influenced by the practice setting in which a patient gets care, with notable delays in care among patients who are seen in a federally qualified health center preoperatively.

Estimated Investment Need to Increase England’s Capacity to Diagnose Eligibility for an Alzheimer’s Treatment to G7 Average Capacity Levels

BackgroundAs disease-modifying Alzheimer’s (AD) treatments are becoming available, concerns have been raised that even high-income countries lack the diagnostic capacity to accurately identify eligible patients in a timely manner.ObjectivesWe analyze how much NHS England would have to invest in capacity for AD specialists, biomarker testing with PET scans or CSF testing and MRI scans to reach G7 average levels and estimate the effect on wait times in the diagnostic process.DesignDesk research and expert interviews for cost and capacity data. Markov model to estimate wait times.SettingNHS England.MeasurementsAD specialists, and PET and MRI scanners per capita in G7 countries and wait times in England under different investment scenarios.ResultsEngland has the lowest number of PET and MRI scanners and the second-lowest of AD specialists per capita among the G7 countries. An investment of GBP 14 billion over ten years would be needed to reach G7 average levels, of which 31%, 22%, 10%, 37% would be devoted to capacity for memory assessment services, PET scanning, CSF analysis, and MRI scanning, respectively. This investment would reduce estimated average wait times by around 87% between 2023 and 2032.ConclusionsThe NHS England has large gaps in diagnostic capacity for AD. Without substantial investments, AD patients in England would experience substantial wait times and avoidable disease progression.

Missed Physiotherapy Appointment and Its Influence on Cost, Efficiency and Patients' Outcomes.

Missed appointments is a significant challenge to efficient running of physiotherapy departments and it has cost implications. In this study, wait time, and pattern, predictors and impact of Missed appointments (MAs) on cost, efficiency and recovery time was assessed among Nigerian patients receiving physiotherapy. In this retrospective study a total of 3,243 physiotherapy appointments were booked between 2009 and 2019 at an Outpatient Physiotherapy Clinic in Nigeria. Data were collected on Missed appointments, on costs of of treatment and on socio-demographic characteristics. The total revenue loss due to missed appointments was calculated as a product of the total of Missed appointments and cost per treatment; recovery time was also estimated. Missed appointments were 1,701 out of 3,243 booked (52.5%) and the average wait time for the first appointment was 9.6 ± 23.2 days. The proportion of Missed appointments was higher among females (50.2%), patients who were not resident of the same location as the clinic (45.3%), patients with orthopaedic conditions (56.2%) and patients referred from an orthopaedic surgeon (32.8%). Females, those who live within the city, and those with neurological/medical conditions were 1.68, 1.24, and 1.52 times more likely to have Missed appointments compared to males (OR = 1.68, Confidence intervals = 1.44 - 1.96, p = < 0.001), those who live outside the city (OR = 1.24, CI = 1.05 - 1.46, p = 0.01), and to those who have orthopaedic conditions (OR = 1.52, CI = 1.20 - 1.93, p = < 0.001), respectively. Using per treatment schedule cost of N1000 (an equivalent of $ 2.31), a 52.5% Missed appointments rate resulted in lower efficiency of 76.6% with an efficiency ratio of 0.23. Further, a 52.5% Missed appointments rate could potentially impact patient recovery time by 3402 days if Missed appointments slow a patient recovery process by 2 days. Missed appointments for physiotherapy treatment pose a significant challenge in terms of costs, efficiency, and patient recovery time. Thus, an innovative reminder system may help reduce patients' non-attendance to physiotherapy and its consequences.

Abstract 31: Let Me Be Your Guide: The Impact of Stroke Navigators on Post-Acute Stroke Follow Up

Introduction: Stroke patients often require complex post-discharge management in an outpatient setting. At this Comprehensive Stroke Center, stroke patients are to receive a 30-day, 90 day, and 1 year follow up with the stroke clinic. Post-acute follow up appointments are typically established after discharge, leading to scheduling delays for the 30-day appointment, patients lost to follow up, or no showing to appointments. Stroke Navigators are an emerging role that can bridge the gap between acute and post-acute care settings and integral to ensuring stroke patients receive optimal follow up care. Methods: In 2022, a Stroke Navigator was added to the care team and collaborated with the Stroke Clinic to project volume of clinic slots needed for ischemic and TIA hospital discharges. The Stroke Navigator implemented follow up scheduling with patient/family prior to discharge and emphasized the importance of the 30-day appointment. Pre and postintervention data was then collected and analyzed from Q2 2022 to Q1 2023 regarding timeliness of scheduling, appointment type, and rate of no shows for all ischemic stroke/TIA patients. Results: The pre-intervention scheduling process resulted in an average wait time of 19 days to schedule appointments. Post intervention, no wait time identified as appointments were scheduled prior to discharge. Pre-intervention data on 30-day appointments showed only 23% of patients were scheduled and attended their provider visit, while post-intervention data showed 60% (Table 1). The clinic no show rate went from 19%, down to 10% in the post intervention phase. Conclusion: The Stroke Navigator has made a significant impact on the number of patients with 30-day visits, eliminated the wait time for appointments due to scheduling prior to discharge, and decreased the no show rate for patients at 30 days. Further financial analysis will be critical to validate the impact of a Stroke Navigator, as they are critical to closing the gap in post-acute care.