Lead Time to Appointment and No-Show Rates for New and Follow-up Patients in an Ambulatory Clinic

Demographic and socioeconomic determinants of missing labs and imaging for otolaryngologic clinical visits

Objectives/Hypothesis

Socioeconomics and demographics have been shown to be determinates of healthcare in specialty clinics, in which thorough research is lacking in the setting of the United States clinical sphere. We set out to determine the impact of socioeconomic and demographic factors on patient preparedness in an otolaryngologic clinic as to highlight the need for awareness in this aspect of disparate and delayed clinical care.

Study Design

Retrospective chart review.

Methods

A chart review was conducted of 482 patients who visited our otolaryngology clinic between June 1, 2020 and June 1, 2023. Demographic data including marital status, gender, age, zip code, and race was collected.

Results

Our study found several interesting points of significance. Marital status was a significant determinant of whether patients had missing labs and/or imaging (p = .001). Age was a significant determinant of patients having their imaging (p < .0001). Patients were more likely to have all their labs and imaging at a follow-up appointment compared to an initial appointment (p < .0001). Finally, a patient's zip code was found to be a significant determinant of whether a patient no-showed an appointment or arrived with all their needed imaging and labs (p = .004).

Conclusions

Having the needed labs and imaging for a clinical visit is vital to providing timely and well-informed care for all patients. This study highlighted several potential determinates of missing labs and imaging. Elderly patients were less likely to have imaging, which may be attributed to transportation issues and a weaker support system. Individuals who were married were more likely to have their imaging. Married individuals may have a stronger support system, where their spouses can provide transportation and reminders for appointments. Finally, the significance of zip code highlights the role transportation distance and living in an underserved area may have on patients being able to go to their appointments or obtain their needed imaging.

Level of Evidence

4.

Consulting doctors online after offline treatment: investigating the effects of online information on patients' effective use of online follow-up services

Introduction

The use of online follow-up services (OFUS) is becoming an increasingly important supplement to hospital care. Through OFUS, patients can find their doctors in online health communities (OHCs) and receive remote medical follow-ups after hospital treatment. However, the rate of effective use of OFUS by current patients is still low, and there is an urgent need for research to investigate the online information factors that affect patients' effective use of OFUS.

Methods

Based on the elaboration likelihood model (ELM) of persuasion and an analysis of a panel dataset including 3,672 doctors in a leading OHC in China, this study explores how online information from doctors' knowledge contributions and patient feedback influences patients' effective use of OFUS.

Results

The results show that both doctors' knowledge contributions and patient feedback positively influence patients' effective use of OFUS. Doctors' paid knowledge contributions and patients' paid feedback have stronger persuasive effects than doctors' free knowledge contributions and patients' free feedback, respectively. Moreover, there is a substitutional relationship between doctors' paid and free knowledge contributions and between patients' paid and free feedback in influencing patients' effective use of OFUS.

Discussion

The findings of this study suggest that OHC platforms and healthcare providers should account not only for the persuasive effects of doctors' knowledge contributions and patient feedback but also for influential differences and relationships between the types of doctors' knowledge contributions and patient feedback to better persuade patients to effectively use OFUS.

Factors Associated with No-Show Rates in a Pediatric Audiology Clinic

OBJECTIVE

To evaluate factors associated with no-show rates in a pediatric audiology clinic.

STUDY DESIGN

Retrospective review.

SETTING

Tertiary referral center.

PARTICIPANTS

All pediatric patients younger than 18 years whose parents/guardians scheduled an appointment at a tertiary Audiology Clinic between June 1, 2015, and July 1, 2017.

MAIN OUTCOME MEASURES

Data included whether the patient came to their appointment, patient age, sex, race, insurance type, appointment type, location, season of appointment, and day of the week of the appointment.

RESULTS

Of the 7,784 pediatric appointments scheduled with audiology, the overall no-show rate was 24.3% (n = 1893). Lower age was significantly associated with no-shows ( p = 0.0003). Black/African American children were more likely to no-show compared with White/Caucasians ( p = 0.0001). Compared with self-pay/military/other insurance, those with Medicaid were more likely to no-show ( p = 0.0001). The highest rate of no-shows occurred during summer (27%). On multivariate analysis, younger age, Black/African American race, and Medicaid insurance were associated with increased no-show rates.

CONCLUSION

A variety of factors influence no-show rates in a pediatric audiology setting. No-shows can affect treatment quality and affect overall hearing outcomes. Further investigation is necessary to assess barriers to appointment adherence and to develop interventions to improve adherence and care.

Factors Associated With No-Show to Ambulatory Tele-Video Neurology Visits

Introduction Telehealth visits (TH) have become an important pillar of healthcare delivery during the COVID pandemic. No-shows (NS) may result in delays in clinical care and in lost revenue. Understanding the factors associated with NS may help providers take measures to decrease the frequency and impact of NS in their clinics. We aim to study the demographic and clinical diagnoses associated with NS to ambulatory telehealth neurology visits. Methods We conducted a retrospective chart review of all telehealth video visits (THV) in our healthcare system from 1/1/2021 to 5/1/2021 (cross-sectional study). All patients at or above 18 years of age who either had a completed visit (CV) or had an NS for their neurology ambulatory THV were included. Patients having missing demographic variables and not meeting the ICD-10 primary diagnosis codes were excluded. Demographic factors and ICD-10 primary diagnosis codes were retrieved. NS and CV groups were compared using independent samples t-tests and chi-square tests as appropriate. Multivariate regression, with backward elimination, was conducted to identify pertinent variables. Results Our search resulted in 4,670 unique THV encounters out of which 428 (9.2%) were NS and 4,242 (90.8%) were CV. Multivariate regression with backward elimination showed that the odds of NS were higher with a self-identified non-Caucasian race OR = 1.65 (95%, CI: 1.28-2.14), possessing Medicaid insurance OR = 1.81 (95%, CI: 1.54-2.12) and with primary diagnoses of sleep disorders OR = 10.87 (95%, CI: 5.55-39.84), gait abnormalities (OR = 3.63 (95%, CI: 1.81-7.27), and back/radicular pain OR = 5.62 (95%, CI: 2.84-11.10). Being married was associated with CVs OR = 0.74 (95%, CI: 0.59-0.91) as well as primary diagnoses of multiple sclerosis OR = 0.24 (95%, CI: 0.13-0.44) and movement disorders OR = 0.41 (95%, CI: 0.25-0.68). Conclusion Demographic factors, such as self-identified race, insurance status, and primary neurological diagnosis codes, can be helpful to predict an NS to neurology THs. This data can be used to warn providers regarding the risk of NS.

Sociodemographic and Clinical Factors Associated with Nonattendance at the Hepatology Clinic

BACKGROUND

Absenteeism from clinic appointments reduces efficiency, wastes resources, and contributes to longer wait times. There are limited data regarding factors associated with nonattendance in hepatology clinics. Identifying factors related to appointment nonattendance may help in the design of interventions for reducing absenteeism.

METHODS

We aim to identify sociodemographic, clinical, and appointment-related factors associated with absenteeism following referral to a liver clinic in a tertiary academic center located in the US Midwest. We designed a case-control study using data from electronic medical records of patients scheduled for appointments between January 2016 and December 2021. Cases were defined as patients who canceled appointments on the same day or resulting in no-shows, and controls were those who completed the referral visit. Information about patients' sociodemographic characteristics, appointment details, and etiology of liver disease were recorded. Hierarchical logistic regression was used to analyze factors related to nonattendance.

RESULTS

Of 3404 scheduled appointments, 460 (13.5%) missed visits were recorded. In the multivariable logistic regression models, hepatitis C and alcohol-associated liver disease were associated with greater odds of nonattendance [odds ratio (OR) 4.0 (95% CI 3.2-4.9), OR 2.7 (1.7-4.2), respectively] compared to those with other liver disease. Sociodemographic characteristics associated with risk of nonattendance included being Black [OR 2.6, (1.8-3.7)], Medicaid insurance or no insurance [OR 2.3 (1.7-2.9), OR 2.5 (1.6-3.7), respectively], non-English speaking [OR 1.8 (1.1-3.1)], being unmarried [OR 1.8 (1.4-2.2)], and longer wait time (> 30 days) until appointments [OR 1.8 (1.5-2.2)].

CONCLUSION

Several sociodemographic and administrative characteristics, as well as hepatitis C and alcohol-associated liver disease were associated with appointment nonattendance. Targeted future interventions may help to decrease nonattendance.

Rural Residence and Factors Associated with Attendance at the Second High-Risk Infant Follow-up Clinic Visit for Very Low Birth Weight Infants in California

OBJECTIVE

 This study was aimed to determine factors associated with attendance at the second high-risk infant follow-up (HRIF) visit (V2) by 20 months of corrected age after a successful first visit (V1), and the impact of rural residence on attendance rates in a statewide population of very low birth weight (VLBW; <1,500 g) infants.

STUDY DESIGN

 Data linked from the California Perinatal Quality of Care Collaborative (CPQCC) Neonatal Intensive Care Unit (NICU) database and CPQCC-California Children's Services (CCS) HRIF database. Multivariable logistic regression evaluated independent associations of sociodemographic, maternal, family, neonatal clinical, and individual HRIF program differences (factors) with successful V2 in VLBW infants born in 2010 to 2012.

RESULTS

 Of 7,295 eligible VLBW infants, 75% (5,475) attended V2. Sociodemographic factors independently associated with nonattendance included maternal race of Black (adjusted odds ratio [aOR] = 0.61; 95% confidence interval [CI]: 0.5-0.75), public insurance (aOR = 0.79; 95% CI: 0.69-0.91), and rural residence (aOR = 0.74; 95% CI: 0.61-0.9). Factors identified at V1that were associated with V2 attendance included attending V1 within the recommended window (aOR = 2.34; 95% CI: 1.99-2.75) and early intervention enrollment (aOR = 1.39; 95% CI: 1.12-1.61). Neonatal factors associated with attendance included birth weight ≤750 g (aOR = 1.83; 95% CI: 1.48-2.5). There were significant program differences with risk-adjusted rates ranging from 43.7 to 99.7%.

CONCLUSION

 Sociodemographic disparities and HRIF program factors are associated with decreased attendance at V2 among VLBW infants. These findings highlight opportunities for quality and process improvement interventions starting in the NICU and continuing through transition to home and community to assure participation in HRIF.

KEY POINTS

· Only 75% of VLBW infants attended the second HRIF visit.. · Those less likely to attend were Black or had rural residence.. · Infants in early intervention or attending first visit within recommended ages were more likely to attend..

Missed appointments in a tertiary academic pediatric ophthalmology and adult strabismus service: cross-sectional study and literature review

PURPOSE

To investigate the rate of missed appointments in a Canadian academic hospital-based pediatric ophthalmology and adult strabismus practice and the demographic and clinical factors associated with missed appointments.

METHODS

This cross-sectional study included all consecutive patients seen from June 1, 2018, to May 31, 2019. Multivariable logistic regression model assessed associations between clinical and demographic variables with no-show status. A literature review on evidence-based interventions to reduce no-show appointments in ophthalmology was performed.

RESULTS

Of 3,922 visits, 718 (18.3%) were no-shows. Characteristics associated with no-shows included new patient (OR = 1.4; 95% CI, 1.1-1.7 [P = 0.001]), age 4-12 years (OR = 1.6; 95% CI, 1.1-2.3 [P = 0.011]) or age 13-18 years (OR = 1.8; 95% CI, 1.2-2.7 [P = 0.007]) compared with age 19+ years, history of previous no-shows (OR = 2.2; 95% CI, 1.8-2.7 [P = 0.001]), referrals from nurse practitioners (OR = 1.8; 95% CI, 1.0-3.2 [P = 0.037]), nonsurgical diagnoses such as retinopathy of prematurity (OR = 3.2; 95% CI, 1.8-5.6 [P < 0.001]), and winter season (OR = 1.4; 95% CI, 1.2-1.7 [P < 0.001]).

CONCLUSIONS

Missed appointments in our pediatric ophthalmology and strabismus academic center are more likely new patient referrals, prior no-shows, referrals from nurse practitioners, and nonsurgical diagnoses. These findings may facilitate targeted strategies to help improve utilization of healthcare resources.

Evaluation of an Automated Reminder System for Reducing Missed MRI Appointments

Background: The high frequency of missed appointments continues to be a burden on healthcare providers, leading to decreased productivity, quality of service, and quality of outcome. The purpose of this study is to evaluate the effectiveness of Televox's automated appointment reminder service in reducing the missed appointment rate for MRI (magnetic resonance imaging). The appointment reminders were sent 72 h in advance. The total and no-show numbers were tallied to calculate missed appointment rates. Comparison of the missed appointment rate with and without Televox implementation and different payment types was performed. Temporal comparisons were also made across the corresponding time periods in order to control for seasonal fluctuations. Results: An insignificant decline in missed appointment rates was found in locations implementing Televox (P = .495) overall, although a significant decrease in missed appointments was found among Medicaid patients (P = .0381). Conclusion: Implementation of Televox appointment reminder systems did not significantly affect appointment attendance overall, but could be more useful specifically for encouraging Medicaid patients to attend MRI appointments.

Income Disparities in Outcomes of Horizontal Strabismus Surgery in a Pediatric Population

PURPOSE

To examine postoperative outcomes in pediatric patients undergoing strabismus surgery to determine the potential impact of socioeconomic disparities on ophthalmic outcomes.

METHODS

This study included 284 children undergoing strabismus surgery at a tertiary institution with at least 11 months of follow-up and no prior strabismus surgery or other neurologic or ophthalmologic conditions. Demographics, insurance, operative parameters, and appointments scheduled/attended were collected via chart review. Ocular alignment was recorded preoperatively and postoperatively at 3, 12, and 24 months. Two-sided t tests and chi-squared analyses were used to compare demographic and operative parameters. Logistic regression was employed to determine predictive factors for ophthalmic outcomes.

RESULTS

There was no difference in failure rates between patients with Medicaid and patients with private insurance 24 months postoperatively (45.9% vs 50.5%, respectively, P = .46). Patients with Medicaid were more likely to not follow up postoperatively (28.2% vs 9.6%, respectively, P < .01), whereas patients with private insurance were more likely to complete more than three follow-up appointments in 24 months (21.5% vs 39.0%, respectively, P < .01). Postoperative attendance was linked to Medicaid status (P < .01) but not travel time, neighborhood income levels, or social deprivation index factors.

CONCLUSIONS

There was no difference in failure rates between patients with Medicaid and patients with private insurance. Medicaid status was significantly predictive of loss to follow-up. [J Pediatr Ophthalmol Strabismus. 2022;59(3):156-163.].

Predictors of No-Show in Neurology Clinics

In this study, we aim to identify predictors of a no-show in neurology clinics at our institution. We conducted a retrospective review of neurology clinics from July 2013 through September 2018. We compared odds ratio of patients who missed appointments (no-show) to those who were present at appointments (show) in terms of age, lead-time, subspecialty, race, gender, quarter of the year, insurance type, and distance from hospital. There were 60,012 (84%) show and 11,166 (16%) no-show patients. With each day increase in lead time, odds of no-show increased by a factor of 1.0019 (p < 0.0001). Odds of no-show were higher in younger (p ≤ 0.0001, OR = 0.49) compared to older (age ≥ 60) patients and in women (p < 0.001, OR = 1.1352) compared to men. They were higher in Black/African American (p < 0.0001, OR = 1.4712) and lower in Asian (p = 0.03, OR = 0.6871) and American Indian/Alaskan Native (p = 0.055, OR = 0.6318) as compared to White/Caucasian. Patients with Medicare (p < 0.0001, OR = 1.5127) and Medicaid (p < 0.0001, OR = 1.3354) had higher odds of no-show compared to other insurance. Young age, female, Black/African American, long lead time to clinic appointments, Medicaid/Medicare insurance, and certain subspecialties (resident and stroke clinics) are associated with high odds of no show. Possible suggested interventions include better communication and flexible appointments for the high-risk groups as well as utilizing telemedicine.

Recommendations from parents, administrative staff and clinicians to improve paediatric ambulatory appointment scheduling

BACKGROUND

Stakeholders can provide valuable input to improve scheduling paediatric ambulatory clinic appointments, a complex process that requires effective planning and communication between parents, administrative staff and clinicians. The purpose of our study was to characterize recommendations from parents, administrative staff and clinicians to improve paediatric ambulatory appointment scheduling.

METHODS

Conducted between February 2018 and January 2019, this qualitative study was guided by qualitative description. Data collection was completed using focus groups with three stakeholder groups: parents, administrative staff and clinicians. Participants provided recommendations to optimize paediatric ambulatory appointment scheduling at the Stollery Children's Hospital in Edmonton, Alberta, Canada. Focus group data were transcribed verbatim and analysed using manifest inductive content analysis.

RESULTS

Forty-six participants (mean age: 42.7; 87% female) participated in 12 focus groups. Parents (n = 11), administrative staff (n = 22) and clinicians (n = 13) made recommendations that were organized into two categories: appointment triaging and arranging. Triaging recommendations were related to appointment availability (e.g. providing alternatives to cancelling clinics with short notice) and waitlist management (e.g. developing clear and consistent policies regarding information flow and communication between clinics and administrative staff). Appointment arranging recommendations referred to booking (e.g. directly involving parents in the booking process), reminders (e.g. using text message reminders) and attendance (e.g. providing parents with a single point of contact who can provide the correct information about late and cancellation policies). Recommendations were similar across stakeholder groups.

CONCLUSION

Our findings showed congruent recommendations across stakeholder groups to address challenges with scheduling ambulatory appointments, many of which have the potential to be modified. Experimental research and quality improvement initiatives are needed to determine the feasibility, acceptability and effectiveness of stakeholder recommendations to improve triaging and scheduling paediatric ambulatory appointments.

After COVID-19: Improving the Patient's Outpatient Appointment Experience

As the COVID-19 pandemic diminishes, it is expected that patients will seek more outpatient appointments resulting in adverse patient and clinic experiences if there is a corresponding increase in missed appointments. This study's purpose was to determine if there was an association between advanced access scheduling, also known as open access or same day scheduling, and missed appointment rates for patients scheduled with preferred primary care physicians vis-a-vis nonpreferred primary care physicians. Patients prescheduled with primary care providers and over the age of 18 years were included in the study, which totaled 4815 visits. Study results demonstrated a statistically significant mean proportion difference between the national no-show rate and the study's no-show rate as well as a significant association between physician type and visit status. The results suggested the potential for improving the patient experience with advanced access scheduling if patients are scheduled with their preferred primary care physician. This study may promote positive patient experiences by providing patients and clinicians with an understanding of the significance surrounding advanced access scheduling thus decreasing missed appointments.

Factors to Effective Telemedicine Visits During the COVID-19 Pandemic: Cohort Study

Background

With COVID-19 there was a rapid and abrupt rise in telemedicine implementation often without sufficient time for providers or patients to adapt. As telemedicine visits are likely to continue to play an important role in health care, it is crucial to strive for a better understanding of how to ensure completed telemedicine visits in our health system. Awareness of these barriers to effective telemedicine visits is necessary for a proactive approach to addressing issues.

Objective

The objective of this study was to identify variables that may affect telemedicine visit completion in order to determine actions that can be enacted across the entire health system to benefit all patients.

Methods

Data were collected from scheduled telemedicine visits (n=362,764) at the University of Miami Health System (UHealth) between March 1, 2020 and October 31, 2020. Descriptive statistics, mixed effects logistic regression, and random forest modeling were used to identify the most important patient-agnostic predictors of telemedicine completion.

Results

Using descriptive statistics, struggling telemedicine specialties, providers, and clinic locations were identified. Through mixed effects logistic regression (adjusting for clustering at the clinic site level), the most important predictors of completion included previsit phone call/SMS text message reminder status (confirmed vs not answered) (odds ratio [OR] 6.599, 95% CI 6.483-6.717), MyUHealthChart patient portal status (not activated vs activated) (OR 0.315, 95% CI 0.305-0.325), provider’s specialty (primary care vs medical specialty) (OR 1.514, 95% CI 1.472-1.558), new to the UHealth system (yes vs no) (OR 1.285, 95% CI 1.201-1.374), and new to provider (yes vs no) (OR 0.875, 95% CI 0.859-0.891). Random forest modeling results mirrored those from logistic regression.

Conclusions

The highest association with a completed telemedicine visit was the previsit appointment confirmation by the patient via phone call/SMS text message. An active patient portal account was the second strongest variable associated with completion, which underscored the importance of patients having set up their portal account before the telemedicine visit. Provider’s specialty was the third strongest patient-agnostic characteristic associated with telemedicine completion rate. Telemedicine will likely continue to have an integral role in health care, and these results should be used as an important guide to improvement efforts. As a first step toward increasing completion rates, health care systems should focus on improvement of patient portal usage and use of previsit reminders. Optimization and intervention are necessary for those that are struggling with implementing telemedicine. We advise setting up a standardized workflow for staff.

Factors associated with moderate sedation attendance at a university-based pediatric dental clinic

PURPOSE/OBJECTIVES

To evaluate patient attendance for moderate sedation (MS) at a university-based pediatric dental clinic; to identify factors with negative impact on MS being completed and to assess for associations between no-show appointments and patient variables METHODS: The electronic health records of patients scheduled for MS appointments in a 22-month period were assessed by a single investigator. Demographic and clinical data related to appointment attendance and MS procedure performance were collected and statistically analyzed using chi-square, Spearman's rho correlation tests, and logistic regression (p < 0.05) RESULTS: A total of 618 scheduled MS appointments were included. The MS appointment no-show-rate was 17.1 percent. Appointment confirmation (p = 0.001) and dmft score ≥ 9 (p = 0.039) had positive correlation with attendance, while "no-shows" history (p = 0.024) and longer waiting time (p = 0.040) had negative impact on attendance. About 20% of attended MS were not completed, with main reasons of airway risk (32.3%), ongoing illness (28.4%), and violation of NPO guidelines (21.5%). Race, ethnicity, language spoken, child's behavior, and distance traveled had no significant impact on attendance CONCLUSION: Interventions to decrease non-attendance rates should target patients who are unconfirmed, have a history of no-show appointments, and are scheduled well before the sedation appointment.

Predictors of Telemedicine Utilization in a Pediatric Neurosurgical Population During the COVID-19 Pandemic

OBJECTIVE

In the wake of the COVID-19 pandemic, telemedicine has become rapidly adopted by the neurosurgical community; however, few studies have examined predictors of telemedicine utilization. Here, we analyze patient variables associated with the acceptance of a telemedicine encounter by a pediatric neurosurgical population during the early phases of the COVID-19 pandemic.

METHODS

All patients seen in a single institution's outpatient pediatric neurosurgery clinic between April 1, 2020 and July 31, 2020 were retrospectively reviewed. Demographic variables were collected for each patient's first completed encounter. Patients participating in telemedicine were compared with those seen in person. Univariate analysis was performed using the Wilcoxon rank sum test for continuous variables and Fischer exact test for categorical variables. A logistic regression multivariable analysis was then performed.

RESULTS

We included 682 patients (374 telemedicine and 308 in person). Univariate analysis demonstrated that telemedicine visits were more likely to occur at earlier study dates (P < 0.001) and that patients participating in telemedicine visits were more likely to be established rather than new patients (P < 0.001), White or Caucasian (P < 0.001), not Hispanic or Latino (P < 0.001), English-speaking (P < 0.001), non-Medicare/Medicaid recipients (P < 0.001), have lower no-show rates (P = 0.006), and live farther from the hospital (P = 0.005). Multivariable analysis demonstrated older age (P = 0.031), earlier appointment date (P < 0.01), established patient status (P < 0.001), English-speaking (P < 0.02), and non-Medicare/Medicaid insurance (P < 0.05) were significant predictors of telemedicine utilization.

CONCLUSIONS

Significant demographic differences exist among pediatric patients who participated in telemedicine versus those who requested an in-person visit at our institution. Addressing barriers to access will be crucial for promoting health equity in continued utilization of telemedicine.

No-show rates to a sleep clinic: drivers and determinants

STUDY OBJECTIVES

Attendance to sleep clinic appointments is imperative to diagnose sleep-related disorders and to offer appropriate treatment. As part of our quality assurance program, we assessed predictors of no-show rates at our sleep clinic. We hypothesize that no-show rates can be predicted by demographics, appointment type (new vs established) and timing, and insurance status.

METHODS

We performed a 10-month, retrospective chart review of patients scheduled at Saint Louis University's SLUCare Sleep Disorders Center. Multivariable logistic regression was used to determine which factors were independently associated with no-show.

RESULTS

A total of 2,532 clinical visits were reviewed, and the overall no-show rate was 21.2%. Factors associated with a higher incidence of no-show rates included younger age (17-40 years: 21.5%; 41-64 years: 23.5%; ≥65 years: 14.0%; P < .0001), appointment type (new: 30.5% vs established: 18.3%; P < .0001), and insurance status (no insurance: 24.6% vs public: 22.6% vs private: 15.9%; P < .0001). Multivariable logistic regression confirmed the independent association between no-show and age ≤ 40 years (adjusted odds ratio = 1.72; 95% confidence interval: 1.44, 2.20), new patient status (adjusted odds ratio = 1.78; 95% confidence interval: 1.44, 2.20), and absence of health insurance (adjusted odds ratio = 1.62; 95% confidence interval: 1.24, 2.11). Sex, appointment time, day of the week, and season did not significantly influence no-show rates.

CONCLUSIONS

Independent predictors of no-show appointments included younger age, new patient status, and lack of health insurance. Our findings will aid future efforts to identify patients with high predictors of nonadherence. Further studies are needed to develop methods to decrease no-show rates once high-risk appointments have been identified.

Workers' Societal Costs After Knee and Shoulder Injuries and Diagnosis with In-Office Arthroscopy or Delayed MRI: A Cost-Minimization Analysis

The goal of this study was to evaluate the societal costs of using in-office diagnostic arthroscopy (IDA) compared with magnetic resonance imaging (MRI) for the diagnosis of intra-articular knee and shoulder pathology in employed patients receiving Workers' Compensation or disability coverage. The prevalence is estimated at 260,000 total cases per year.

METHODS

A cost-minimization analysis of IDA compared with MRI was conducted. Direct costs (in 2018 U.S. dollars) were calculated from private reimbursement amounts and Medicare. Indirect costs were estimated from a societal perspective including effects of delayed surgical procedures on the ability to work, lost income, Workers' Compensation or disability coverage, and absenteeism. Four regions were selected: Boston, Massachusetts; Detroit, Michigan; Denver, Colorado; and San Bernadino, California. Sensitivity analyses were performed using TreeAge Pro 2019 software. The base assumption was that it would take approximately 4 weeks for a diagnosis with MRI and 0 weeks for a diagnosis with IDA.

RESULTS

Direct costs to determine a knee diagnosis with IDA were $556 less expensive (California) to $470 more expensive (Massachusetts) than MRI. Assuming a 4-week wait, societal costs (indirect and direct) for knee diagnosis were anywhere from $7,852 (Denver) to $11,227 (Boston) less using IDA. Direct costs were similar for shoulder pathology. In order for MRI to be the less costly option, the MRI and the follow-up visit to the physician would need to occur directly after consultation. Under Medicare, direct costs were similar for both the knee and shoulder when comparing IDA and MRI. Including indirect costs resulted in IDA being the less costly option.

CONCLUSIONS

The use of IDA instead of MRI for the diagnosis of knee and shoulder pathology reduced costs. The potential savings to society were approximately $7,852 to $11,227 per operative patient and were dependent on scheduling and follow-up using MRI and on Workers' Compensation.

LEVEL OF EVIDENCE

Economic and Decision Analysis Level IV. See Instructions for Authors for a complete description of levels of evidence.

Pediatric ambulatory appointment scheduling: a qualitative study of stakeholders’ perceptions and experiences

Objective

Scheduling ambulatory clinic appointments includes a complex set of factors and diverse stakeholders. Families, administrative staff and clinicians may have varied experiences with scheduling clinic appointments. The objective of our study was to understand stakeholders’ perceptions and experiences with scheduling pediatric ambulatory clinic appointments.

Design

Guided methodologically by qualitative description, focus groups were conducted separately with three stakeholder groups and analyzed using qualitative content analysis.

Setting

This qualitative study was completed at a children’s hospital in Alberta, Canada.

Participants

Parents, administrative professionals and clinicians who used the pediatric ambulatory scheduling system regularly to elicit perceptions and experiences about issues and areas where improvements could be made.

Results

Across 12 focus groups, parents (n = 11), administrative professionals (n = 23) and clinicians (n = 13) discussed areas for improvement related to the pediatric ambulatory scheduling system. The perceived areas for improvement were grouped into three categories regarding levels of influence: (i) ‘intrapersonal’: knowledge, skills and behaviors (e.g. insufficient training of administrative professionals); (ii) ‘interpersonal’: communication processes (e.g. parents not receiving confirmation letters); and (iii) ‘institutional’: structures and processes (e.g. varying practices and processes across clinics).

Conclusions

Stakeholders provided a rich description of the interrelated factors and processes that influenced the scheduling of pediatric ambulatory clinic appointments. Multilevel, experimental interventions are needed to test whether the findings described herein can enhance the structure and function of pediatric ambulatory appointment scheduling.

"If You Call Them, They Will Come": A Telephone Call Reminder to Decrease the No-Show Rate in an Outpatient Palliative Medicine Clinic

INTRODUCTION

A high outpatient clinic no-show rate affects clinical outcomes, increases healthcare costs, and reduces both access to care and provider productivity. In an effort to reduce the no-show rate at a busy palliative medicine outpatient clinic, a quality improvement project was launched consisting of a telephone call made by clinic staff prior to appointments. The study aimed to determine the effect of this intervention on the no-show rate, and assess the financial impact of a decreased no-show rate.

METHODS AND MATERIALS

The outpatient clinic no-show rate was measured from September 1 to December 31, 2015. Data from the first 8 months of the calendar year was removed since these could not be verified. Starting January 1, 2016, patients received a telephone call reminder 24 hours prior to their scheduled outpatient appointment for confirmation. No-show rate was again measured for the calendar year 2016. Opportunity costs were calculated for unfulfilled clinic visits.

RESULTS

Of the 1224 completed visits from September 1 to December 31, 2015, 271 were no-shows with an average rate of 11.8%. After the intervention, there were 4368 completed visits and 562 no-shows. The no-show rate for 2016 averaged 6.9% (p < 0.001), down 4.9% from the last 4 months of 2015. Estimated opportunity costs were about 396 no-show visits avoided, equivalent to an annual savings of about $79,200.

CONCLUSION

A telephone call reminder to patients 24 hours prior to their appointment decreased the no-show rate in an outpatient palliative medicine clinic. Avoiding unfulfilled visits resulted in substantial opportunity costs.

Using the Six Sigma Methodology to Reduce Missed Appointments at a Pediatric Inner-City Clinic

Pediatric missed appointments impact patient outcomes and the financial well-being of clinics. Our purpose was to implement the Six Sigma methodology at a pediatric clinic to (1) identify significant predictor factors of missed appointments and develop a prediction model and (2) implement interventions to reduce the missed appointment rate. Binary logistic regression identified historical no-show rate, high-risk visit types, lack of insurance, the number of provider visits, and appointment lead time as significant predictor factors. Interventions led to a significant drop in the missed appointment rate and the no-show rate.

Lost to follow up: Exploring patients who initially fail cochlear implant evaluation

Objective: To explore variables predicting which individuals return for repeat cochlear implantation (CI) evaluation after initially not qualifying. Study design: Retrospective chart review. Setting: University CI program. Patients: Adults undergoing CI evaluation between 2007-2017 who did not meet implantation criteria. Main outcome measures: Demographics, pure tone audiogram (PTA), speech perception testing, and evaluation hearing aids for patients who did and did not pursue subsequent evaluations after failing to qualify. Results: In total, 135 patients failed to qualify for CI, with 37 returning for additional evaluations. 72.9% of returning patients qualified. Repeat evaluations performed >6 months after initial evaluation were no more likely to result in qualification (P = 0.647). PTA and speech perception testing were no different for patients who did and did not return. With multivariate analysis, quantifying hearing impairment by speech perception scores, no variable predicted return. However, quantifying hearing impairment with WRS, evaluation with personal devices (P = 0.012) and recommendations to return within 6 months (P = 0.001) predicted increased rate of return. Conclusions: The majority who initially do not, will qualify with repeat CI testing. Patients given scheduled time for re-evaluation, and those properly fitted with personal devices return at higher rates. We recommend patients initially not qualifing for CI, return for repeat evaluation within a year.

Socioeconomic patient benefits of a pediatric neurosurgery telemedicine clinic

OBJECTIVE

The objective of this study was to examine the socioeconomic benefits to the patients and families attending a regional pediatric neurosurgery telemedicine clinic (PNTMC).

METHODS

A PNTMC was organized by the Division of Pediatric Neurosurgery of the University of Florida College of Medicine-Jacksonville based at Wolfson Children's Hospital and by the Children's Medical Services (CMS) to service the Southeast Georgia Health District. Monthly clinics are held with the CMS nursing personnel at the remote location. A retrospective review of the clinic population was performed, socioeconomic data were extracted, and cost savings were calculated.

RESULTS

Clinic visits from August 2011 through January 2017 were reviewed. Fifty-five patients were seen in a total of 268 initial and follow-up PNTMC appointments. The average round-trip distance for a family from home to the University of Florida Pediatric Neurosurgery (Jacksonville) clinic location versus the PNTMC remote location was 190 versus 56 miles, respectively. The families saved an average of 2.5 hours of travel time and 134 miles of travel distance per visit. The average transportation cost savings for all visits per family and for all families was $180 and $9711, respectively. The average lost work cost savings for all visits per family and for all families was $43 and $2337, respectively. The combined transportation and work cost savings for all visits totaled $223 per family and $12,048 for all families. Average savings of $0.68/mile and $48.50/visit in utilizing the PNTMC were calculated.

CONCLUSIONS

Managing pediatric neurosurgery patients and their families via telemedicine is feasible and saves families substantial travel time, travel cost, and time away from work.

No-shows in ambulatory clinics and non-utilized appointments for elective operations in selected surgical departments at a tertiary hospital in Israel

Background

The phenomenon of a patient missing a medical appointment without notification is called a “no-show”. In contrast, “non-utilized appointments” are a broader phenomenon including all appointments that didn’t occur as registered – whether due to actions taken by providers or patients. Both no-shows and non-utilized appointments can lead to reduced quality of care, loss in productivity, financial losses and impaired patient outcomes.

Methods

The study was carried out between August 2016 and January 2017 in the ENT, Orthopedics and General Surgery Departments of the Jerusalem-based Shaare Zedek Medical Center. The study team sought to examine the reasons for non-utilized appointments in elective operations. The study team also interviewed no-show ambulatory care patients regarding the causes of the no-show and reviewed medical records of no-show patients to determine the nature of the missed appointments.

Results

The rate of non-utilization of appointments for elective operations was 6%. The leading reasons for non-utilization of these appointments were: patient health issues, patient surgery postponement and surgery schedule overload (together accounting for 52% of cases and 72% of known reasons). The no-show rate for ambulatory clinic appointments was approximately 15%. The leading reasons for ambulatory clinic no-shows were: administrative issues, illness and forgetfulness (together accounting for 58% of all reasons). The leading types of appointments missed were:post-operation follow-ups and chronic illness follow-up (together accounting for 46% of cases and 63% of known reasons).

Conclusions

In this study, the non-utilized appointment rate for elective operations was found to be lower than those noted in the medical literature, while the no-show rate for ambulatory visits was found to be similar to that found in the literature. There is room to question the necessity of certain types of postoperative follow-up appointments since they are at “high risk” for no-show. One promising way to reduce the no-show rate would involve improving the hospital’s information and computing systems in order to identify patients who are susceptible to a no-show incident.

Impact of Delayed Time to Advanced Imaging on Missed Appointments Across Different Demographic and Socioeconomic Factors

PURPOSE

The aim of this study was to investigate the impact of wait days (WDs) on missed outpatient MRI appointments across different demographic and socioeconomic factors.

METHODS

An institutional review board-approved retrospective study was conducted among adult patients scheduled for outpatient MRI during a 12-month period. Scheduling data and demographic information were obtained. Imaging missed appointments were defined as missed scheduled imaging encounters. WDs were defined as the number of days from study order to appointment. Multivariate logistic regression was applied to assess the contribution of race and socioeconomic factors to missed appointments. Linear regression was performed to assess the relationship between missed appointment rates and WDs stratified by race, income, and patient insurance groups with analysis of covariance statistics.

RESULTS

A total of 42,727 patients met the inclusion criteria. Mean WDs were 7.95 days. Multivariate regression showed increased odds ratio for missed appointments for patients with increased WDs (7-21 days: odds ratio [OR], 1.39; >21 days: OR, 1.77), African American patients (OR, 1.71), Hispanic patients (OR, 1.30), patients with noncommercial insurance (OR, 2.00-2.55), and those with imaging performed at the main hospital campus (OR, 1.51). Missed appointment rate linearly increased with WDs, with analysis of covariance revealing underrepresented minorities and Medicaid insurance as significant effect modifiers.

CONCLUSIONS

Increased WDs for advanced imaging significantly increases the likelihood of missed appointments. This effect is most pronounced among underrepresented minorities and patients with lower socioeconomic status. Efforts to reduce WDs may improve equity in access to and utilization of advanced diagnostic imaging for all patients.