Missed Appointments: Factors Contributing to High No-Show Rates in an Urban Pediatrics Primary Care Clinic

A Pilot Randomized Controlled Trial of Text Messages to Improve Well-Child Visit Attendance After No-Show

OBJECTIVE

Evaluate the effectiveness of text messages to systematically engage parents/guardians ("caregivers") to reschedule a well-child visit (WCV) that was missed ("no-show") and attend that rescheduled WCV visits.

METHODS

Patients <18 years in one of five pediatrics or family medicine clinics, in one health system in the Southeast US, were eligible. Patients without a rescheduled WCV after a no-show were randomized into intervention (text messages) or care-as-usual comparison, stratified by language (English/Spanish). Enrollment occurred May-July 2022. Up to three text messages were sent to caregivers one week apart via REDCap and Twilio, advising how to reschedule the missed appointment by phone or health portal. Primary outcomes were 1) rescheduling a WCV within 6 weeks of no-show and 2) completing a rescheduled WCV within 6 weeks. Risk differences (RD) and odds ratios (OR) were used to evaluate the effect of text messages.

RESULTS

Seven hundred and twenty patients were randomized and analyzed (texts: 361, comparison: 359). The proportion rescheduling WCV after text versus usual care was English: 18.85% versus 15.02%, respectively, and Spanish: 5.94% versus 8.14%, with overall RD+ 1.98% (95% CI: -1.85, 5.81) and OR 1.21 (95% CI: 0.79, 1.84; P-value .38). Completed WCV rates in text or usual care were English: 13.08% versus 6.59%, and Spanish: 5.81% versus 5.94% with texts associated with RD+ 2.83% (95% CI: 1.66, 4.00) and OR 1.86 (95% CI: 1.09, 3.19).

CONCLUSION

Text message follow-up after a no-show WCV may positively impact attendance at WCVs rescheduled in the subsequent 6 weeks.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05086237.

Analyzing Factors and Reasons Behind NonAttendance of ENT Patients: Clinical Audit

Objective: This study analyzed the frequency of follow-up patients at the ENT clinic and identified different factors that are associated with nonattendance at follow-up appointments since nonattendance imposes significant stress on the system of healthcare. Methods: This study was an ambidirectional cohort study and conducted a telephonic survey with 104 ENT patients who missed their appointments. Results: The findings of the study revealed that patients missed their scheduled appointments because of transportation problems (46%), professional engagement (46%), family problems (44%), and financial problems (32.7%). However, patients didn't identify forgetfulness about the appointment, complete recovery, and health-related issues on the day of the appointment as the barrier to missing their scheduled appointment. The study assessed the relationship between socioeconomic status and the frequency of follow-up patients in an ENT clinic where transportation factor (P < .000), working commitments (P < .004) affecting the "Lower Middle and Middle Class" individuals, and financial problems (P < .005), family problems (P < .028), feeling sick (P < .037) were significantly affecting the "Middle-Upper Class" and "Middle Class." Meanwhile, forgetfulness was not associated with the socio-economic status of the ENT patients (P = .237). Conclusion: This study found transportation, family, financial issues, and professional commitments to be the key barriers to ENT appointment attendance, with Lower-Middle-Class patients particularly affected by forgetfulness. These missed appointments negatively impact patient health and strain the healthcare system.

Relationships of race and area deprivation indices to outcomes in pediatric patients with inflammatory bowel disease

OBJECTIVES

Social determinants of health (SDOH) are nonmedical factors that influence health outcomes. Children with chronic illnesses living with socioeconomic risk factors have higher rates of unfavorable health outcomes. Our study aimed to assess the association between area deprivation indices (ADI), as a proxy for SDOH, and outcomes in pediatric patients with inflammatory bowel disease (IBD).

METHODS

A retrospective chart review was conducted on 134 pediatric patients with IBD, ages 0-21 years. Explanatory variables were the patient's ADI and demographics. Outcomes were assessed from time of diagnosis over a 1-year follow-up period. The primary outcome was the ratio of missed to completed appointments; secondary outcomes were the numbers of IBD-related emergency department (ED) visits and IBD-related hospitalizations.

RESULTS

Race/ethnicity was significantly associated with ADI (p < 0.001). In a multivariable regression model, no variables were associated with ratio of missed to completed appointments. Notably, ADI was not significantly associated with the ratio of missed to completed appointments. In a Poisson regression, Black (non-Hispanic) and Hispanic race/ethnicity, Medicaid insurance, female gender, and lower age were significantly associated with more IBD-related ED visits; ADI was not. In a similar model, Black (non-Hispanic) race, Medicaid insurance status, and lower age were significantly associated with more IBD-related hospitalizations; ADI was not.

CONCLUSIONS

In our cohort, ADI was not significantly associated with the ratio of missed to completed appointments, IBD-related ED visits, and IBD-related hospitalizations; however, race/ethnicity, age at diagnosis, insurance, and gender were associated with these outcomes.

Social needs and healthcare utilization in NICU graduates

OBJECTIVE

Unplanned healthcare utilization after neonatal intensive care unit (NICU) discharge challenges families and healthcare systems. The impact of social needs on post-NICU healthcare utilization is underexplored. Our objective was to identify social needs among NICU graduates and examine associations between social needs and post-NICU healthcare utilization.

STUDY DESIGN

A prospective cohort design was used to screen for social needs and track healthcare utilization among 112 NICU graduates attending a NICU follow-up clinic (2021-2022). Associations between social needs and healthcare utilization were analyzed using non-parametric statistical tests.

RESULTS

Of 112 patients screened, 20 (18%) had some social need. Infants with social needs experienced statistically significant higher rates of hospitalizations, overall encounters, and missed appointments.

CONCLUSION

Social needs are associated with increased unplanned healthcare utilization and missed appointments. Addressing these needs during NICU follow-up may improve preventative care attendance and reduce unplanned healthcare use, leading to better outcomes for vulnerable infants and cost-savings for healthcare systems.

Patient Factors Associated with Access to Outpatient Pediatric General Surgical Care in a Rural State

BACKGROUND

We sought to understand factors impacting timely access to outpatient pediatric general surgical care in a largely rural state.

METHODS

We conducted a multi-site retrospective cohort study, evaluating patients <18 years referred for outpatient pediatric general surgical evaluation from 11/1/2017-7/31/2022. Outcomes included obtaining an appointment, completing an appointment, and undergoing an operation. Time to appointment and operation were calculated. Bivariate analysis and multivariable logistic regression were performed to evaluate for associations between patient factors and the primary outcomes, as well as delay to appointment.

RESULTS

Of 5270 patients, mean age was 7.1 years (SD = 6) with 59% male. All patients obtained an appointment; 85% (n = 4498) completed an appointment within one year. Forty percent (n = 2092) underwent an operation. Mean times from referral to appointment and operation were 22.5 (SD = 33.4) and 81.5 days (SD = 137.5), respectively. Patients who identified as African American/Black (OR = 1.94, p < 0.001), had self-pay (OR = 6.33, p < 0.001), or lived >100 miles away (OR = 1.55, p < 0.001) were more likely to not complete appointments. Patients with high household income (OR = 0.70, p = 0.009) and private insurance (OR = 0.60, p < 0.001) were less likely to not complete appointments. Delay to appointment was associated with race (p = 0.020). Patients with private insurance (p < 0.001) and higher income (p = 0.020) were more likely to undergo operation.

CONCLUSION

Fifteen percent of patients referred for outpatient pediatric general surgical evaluation did not complete an appointment within one year. Race, household resources, insurance, and travel distance were associated with completing appointments. Information about groups that have disparate access to care will inform interventions to improve this access.

TYPE OF STUDY

Retrospective Cohort Study.

LEVEL OF EVIDENCE

III.

Predictors of No-Show Status: An Analysis of Pediatric Ophthalmology Patients at an Academic Ophthalmology Department in the United States

PURPOSE

To identify pediatric patient and appointment characteristics associated with no-show status at a tertiary care pediatric ophthalmology clinic within a U.S. academic ophthalmology department.

METHODS

A cross-sectional retrospective chart review was performed for all pediatric patients with a scheduled ophthalmology appointment at the Penn State Eye Center between April 1, 2022 and March 31, 2023. A multivariate logistic regression analysis assessed associations between appointment nonattendance and patient characteristics.

RESULTS

Of 8,083 scheduled visits, 1,445 (17.9%) were no-shows. Factors associated with no-show status included appointment type (new vs return odds ratio [OR]: 1.43, 95% CI: 1.26 to 1.63, P < .001); lower median household income (< $41,374 vs > $68,957 OR: 1.89, 95% CI: 1.40 to 2.55, P < .001; $41,374 to $68,957 vs > $68,957 OR: 1.27, 95% CI: 1.12 to 1.44, P < .001); non-private insurance (self-pay vs private: OR: 5.65, 95% CI: 3.87 to 8.24, P < .001, Medicaid vs private: OR: 2.17, 95% CI: 2.32 to 3.16, P < .001); commute distance 10 to 30 miles vs < 5 miles (OR: 1.49, 95% CI: 1.11 to 1.99, P = .008); race: unavailable vs White (OR: 2.18, 95% CI: 1.66 to 2.85, P < .001), Black vs White (OR: 1.86, 95% CI:1.53 to 2.27, P < .001), Other vs White (OR: 1.47, 95% CI: 1.27 to 1.70, P < .001); ethnicity: Hispanic vs non-Hispanic (OR: 1.92, 95% CI: 1.62 to 2.27, P < .001); and language preference: Spanish vs English (OR: 1.86, 95% CI: 1.49 to 2.32, P < .001), Nepali vs English (OR: 1.60, 95% CI: 1.06 to 2.43, P = .027), other vs English (OR: 1.83, 95% CI: 1.35 to 2.49, P < .001). Appointment reminders (phone call, P = .013); text message, P < .001; other, P = .013) all resulted in a greater propensity to show, but email communication alone did not (P = .674).

CONCLUSIONS

Certain patient and appointment characteristics that are linked to a higher rate of no-show status can inform targeted initiatives to improve health care outcomes, resource utilization, and clinical efficiency in the pediatric ophthalmology community. [J Pediatr Ophthalmol Strabismus. 20XX;X(XX):XXX-XXX.].

Barriers to Care for Pediatric Patients with Obesity

This review article emphasizes the challenges pediatric patients face during obesity treatment. Prior research has been compartmentalized, acknowledging that stigma, the ability to implement lifestyle changes, social health determinants, and healthcare accessibility are considerable impediments for obese children. These issues emerge at various levels, including the individual or family, the community and school, and even national policy. This suggests the need for a more comprehensive, team-based approach to tackle pediatric obesity. Understanding these barriers is the first step toward creating effective strategies and solutions to overcome these challenges.

Telemedicine Reduces Missed Appointments but Disparities Persist

INTRODUCTION

Missed appointments also known as no-shows adversely affect clinical outcomes, clinic efficiency, and quality of care and have been attributed to barriers such as work schedule conflicts and lack of transportation. The widespread telemedicine implementation and adoption that has occurred as a consequence of the COVID-19 pandemic has the potential to address these barriers and improve missed appointment rates. This study aims to analyze the relationship between telemedicine and missed appointments.

METHODS

This retrospective cohort study used electronic health records data from a safety-net academic health center with federally qualified clinics (March 2020-December 2022). Bivariate and multivariable generalized estimating equations were used to analyze the relationship between no-show and appointment type (in-person versus telemedicine appointment). Stratified adjusted regression analyses were used to calculate the average change in the marginal effect of telemedicine appointments on no-shows across covariates. The data were analyzed from September 2023 to October 2023.

RESULTS

Hispanic patients accounted for 60% of the 474,212 appointments, followed by non-Hispanic White (22.5%), non-Hispanic Black (13.3%), Asian (2.7%), Native American (1%), and other race/ethnicity patients (0.6%). The no-show rate for telemedicine appointments was 12% compared with 25% for in-person appointments. Multivariable analysis showed that telemedicine appointment was associated with a decreased likelihood of no-show compared with in-person appointments (OR=0.40, 95% CI=0.40, 0.41). The average change in the marginal effect of telemedicine appointments on the reduction of no-shows across race/ethnicity was greatest for Native American and non-Hispanic Black patients.

CONCLUSIONS

Telemedicine appointments were associated with a decreased likelihood of no-shows, and the protective effect of telemedicine appointments on missed appointments was greatest for underserved groups. Strategies to increase telemedicine uptake, especially for underserved groups, are critical.

Assessment of Medication Compliance and Follow-Up Clinic Attendance Among Patients With Cardiovascular Diseases in the Jazan Region

BACKGROUND AND AIM

Cardiovascular diseases are common causes of mortality in Saudi Arabia and the world. This study aims to assess medication compliance and regularity of follow-up for cardiovascular patients in the Jazan region.

METHODOLOGY

An analytical cross-sectional approach was used to target all registered cardiovascular patients attending the cardio clinic in a Jazan region hospital. Data were collected using an interview questionnaire developed by the researchers with the help of experts. The questionnaire included the patients' sociodemographic data, clinical characteristics, disease-related data, drugs, and appointments.

RESULTS

The study included 259 patients diagnosed with cardiac disease. About 53.7% of the patients were males. All the cases had the disease for one year or more. About 56% of the patients had no difficulty remembering their medications, while 44% had problems remembering to take them. More than half of the patients had good medication adherence, and 79.6% had good appointment adherence. Only 20.4% of patients had a poor adherence rate.

CONCLUSION AND RECOMMENDATIONS

The adherence rate for the patients' medication and appointments was satisfactory due to high patient awareness. On the other hand, poor adherence was related more to non-Saudi patients.

Personal, health system, and geosocial disparities in appointment nonadherence at family medicine clinics in southcentral Pennsylvania, United States

Background

To assess the relationship between patients' demographic, health system-related, and geosocial characteristics and the risk of missed appointments among patients in family medicine practice.

Methods

The study was based on a retrospective cross-sectional design using electronic health records and neighborhood-level social determents of health metrics linked by geocoded patients' home address. The study population consisted of patients who had a primary care provider and at least one appointment at 14 family medicine clinics in rural and suburban areas in January-December 2022. Negative binomial regression was utilized to examine the impact of personal, health system, and geosocial effects on the risk of no-shows and same-day cancellations.

Results

A total of 258,614 appointments were made from 75,182 patients during the study period, including 7.8% no-show appointments from 20,256 patients. The analysis revealed that individuals in the ethnic minority groups were 1.24-1.65 times more likely to miss their appointments than their White counterpart. Females and English speakers had 14% lower risk for no-show. A significant increase (32%-64%) in the odds of no-shows was found among individuals on Medicaid and uninsured. Persons with prior history of no-shows or same day cancellations were 6%-27% more likely to miss their appointments. The no-show risk was also higher among people living in areas experiencing socioeconomic disadvantage.

Conclusion

The risk of missed appointments is affected by personal, health system, and geosocial contexts. Future efforts aiming to reduce no-shows could develop personalized interventions targeting the at-risk populations identified in the analysis.

Understanding the causes of missingness in primary care: a realist review

BACKGROUND

Although missed appointments in healthcare have been an area of concern for policy, practice and research, the primary focus has been on reducing single 'situational' missed appointments to the benefit of services. Little attention has been paid to the causes and consequences of more 'enduring' multiple missed appointments in primary care and the role this has in producing health inequalities.

METHODS

We conducted a realist review of the literature on multiple missed appointments to identify the causes of 'missingness.' We searched multiple databases, carried out iterative citation-tracking on key papers on the topic of missed appointments and identified papers through searches of grey literature. We synthesised evidence from 197 papers, drawing on the theoretical frameworks of candidacy and fundamental causation.

RESULTS

Missingness is caused by an overlapping set of complex factors, including patients not identifying a need for an appointment or feeling it is 'for them'; appointments as sites of poor communication, power imbalance and relational threat; patients being exposed to competing demands, priorities and urgencies; issues of travel and mobility; and an absence of choice or flexibility in when, where and with whom appointments take place.

CONCLUSIONS

Interventions to address missingness at policy and practice levels should be theoretically informed, tailored to patients experiencing missingness and their identified needs and barriers; be cognisant of causal domains at multiple levels and address as many as practical; and be designed to increase safety for those seeking care.

Impact of Race in Missed Appointments in Pediatric Neurology Resident Clinic at a Large Tertiary Medical Center

Missed medical appointments are a common problem across specialties. The discontinuity of care leads to unplanned health care utilization, increased costs, and poor health outcomes. Previous studies evaluating pediatric epilepsy have shown significant socioeconomic barriers to care. In several specialties, resident clinic no-show rates are higher than faculty clinics because of socioeconomic barriers. We sought to understand the relationship between race, socioeconomic factors, and missed appointments in a pediatric neurology resident clinic at a large tertiary care hospital. Resident clinic encounters for 1 year were extracted and analyzed for missed appointments, socioeconomic factors, and health care utilization. We found that missed appointments occur for 1 in 5 patients and correlate with socioeconomic factors (eg, income and insurance) and race. Race was a more significant factor than socioeconomic factors for missed appointments. These results provide areas to target and track interventions to improve health outcomes in children in pediatric neurology clinics.

Predictors of Subspecialty Appointment Scheduling and Completion for Patients Referred From a Pediatric Primary Care Clinic

Failure to complete subspecialty referrals decreases access to subspecialty care and may endanger patient safety. We conducted a retrospective analysis of new patient referrals made to the 14 most common referral departments at Boston Children's Hospital from January 1 to December 31, 2017. The sample included 2031 patient referrals. The mean wait time between referral and appointment date was 39.6 days. In all, 87% of referrals were scheduled and 84% of scheduled appointments attended, thus 73% of the original referrals were completed. In multivariate analysis, younger age, medical complexity, being a non-English speaker, and referral to a surgical subspecialty were associated with a higher likelihood of referral completion. Black and Hispanic/Latino race/ethnicity, living in a Census tract with Social Vulnerability Index (SVI) ≥ 90th percentile, and longer wait times were associated with a lower likelihood of appointment attendance. Future interventions should consider both health care system factors such as appointment wait times and community-level barriers to referral completion.

Sociodemographic factors and Child Opportunity Index disparities associated with missed care opportunities in pediatric patients with lymphoma and leukemia referred for FDG-PET/CT

BACKGROUND

Little data exists on the association of missed care opportunities (MCOs) in children referred for nuclear medicine/nuclear oncology imaging examinations and socioeconomic disparities.

OBJECTIVE

To determine the prevalence of MCOs in children with lymphoma/leukemia scheduled for fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) and the impact of sociodemographic factors and Child Opportunity Index (COI).

MATERIALS AND METHODS

Retrospective analysis of MCOs in children with lymphoma/leukemia scheduled for FDG-PET/CT (2012 to 2022) was performed. In univariate analysis, patient, neighborhood, and appointment data were assessed across MCOs and completed appointments. Logistic regression evaluated independent effects of patient-, neighborhood-, and appointment-level factors with MCOs. Two-sided P-value < .05 was considered statistically significant.

RESULTS

In 643 FDG-PET/CT appointments (n = 293 patients; median age 15 years (IQR 11.0-17.0 years); 37.9% female), there were 20 MCOs (3.1%) involving 16 patients. Only 8.2% appointments involved Black/African American non-Hispanic/Latino patients, yet they made up a quarter of total MCOs. Patients living in neighborhoods with very low or low COI experienced significantly higher MCOs versus zip codes with very high COI (6.9% vs. 0.8%; P = 0.02). Logistic regression revealed significantly increased likelihood of MCOs for patients aged 18 to 21 [odds ratio (OR) 4.50; 95% CI 1.53-13.27; P = 0.007], Black/African American non-Hispanic/Latino (OR 3.20; 95% CI 1.08-9.49; P = 0.04), zip codes with very low or low COI (OR 9.60; 95% CI 1.24-74.30; P = 0.03), and unknown insurance status.

CONCLUSION

Children with lymphoma/leukemia, living in zip codes with very low or low COI, and who identified as Black/African American non-Hispanic/Latino experienced more MCOs. Our study supports the need to address intersecting sociodemographic, neighborhood, and health system factors that will improve equitable access to necessary healthcare imaging for children.

Enhancing Health Equity by Predicting Missed Appointments in Health Care: Machine Learning Study

BACKGROUND

The phenomenon of patients missing booked appointments without canceling them-known as Did Not Show (DNS), Did Not Attend (DNA), or Failed To Attend (FTA)-has a detrimental effect on patients' health and results in massive health care resource wastage.

OBJECTIVE

Our objective was to develop machine learning (ML) models and evaluate their performance in predicting the likelihood of DNS for hospital outpatient appointments at the MidCentral District Health Board (MDHB) in New Zealand.

METHODS

We sourced 5 years of MDHB outpatient records (a total of 1,080,566 outpatient visits) to build the ML prediction models. We developed 3 ML models using logistic regression, random forest, and Extreme Gradient Boosting (XGBoost). Subsequently, 10-fold cross-validation and hyperparameter tuning were deployed to minimize model bias and boost the algorithms' prediction strength. All models were evaluated against accuracy, sensitivity, specificity, and area under the receiver operating characteristic (AUROC) curve metrics.

RESULTS

Based on 5 years of MDHB data, the best prediction classifier was XGBoost, with an area under the curve (AUC) of 0.92, sensitivity of 0.83, and specificity of 0.85. The patients' DNS history, age, ethnicity, and appointment lead time significantly contributed to DNS prediction. An ML system trained on a large data set can produce useful levels of DNS prediction.

CONCLUSIONS

This research is one of the very first published studies that use ML technologies to assist with DNS management in New Zealand. It is a proof of concept and could be used to benchmark DNS predictions for the MDHB and other district health boards. We encourage conducting additional qualitative research to investigate the root cause of DNS issues and potential solutions. Addressing DNS using better strategies potentially can result in better utilization of health care resources and improve health equity.

Leveraging machine learning to create user-friendly models to mitigate appointment failure at dental school clinics

PURPOSE/OBJECTIVES

This study had a twofold outcome. The first aim was to develop an efficient, machine learning (ML) model using data from a dental school clinic (DSC) electronic health record (EHR). This model identified patients with a high likelihood of failing an appointment and provided a user-friendly system with a rating score that would alert clinicians and administrators of patients at high risk of no-show appointments. The second aim was to identify key factors with ML modeling that contributed to patient no-show appointments.

METHODS

Using de-identified data from a DSC EHR, eight ML algorithms were evaluated: simple decision tree, bagging regressor classifier, random forest classifier, gradient boosted regression, AdaBoost regression, XGBoost regression, neural network, and logistic regression classifier. The performance of each model was assessed using a confusion matrix with different threshold level of probability; precision, recall and predicted accuracy on each threshold; receiver-operating characteristic curve (ROC) and area under curve (AUC); as well as F1 score.

RESULTS

The ML models agreed on the threshold of probability score at 0.20-0.25 with Bagging classifier as the model that performed best with a F1 score of 0.41 and AUC of 0.76. Results showed a strong correlation between appointment failure and appointment confirmation, patient's age, number of visits before the appointment, total number of prior failed appointments, appointment lead time, as well as the patient's total number of medical alerts.

CONCLUSIONS

Altogether, the implementation of this user-friendly ML model can improve DSC workflow, benefiting dental students learning outcomes and optimizing personalized patient care.

PROTOCOL: Medical-financial partnerships for improving financial and health outcomes for lower-income Americans: A systematic review

This is the protocol for a Campbell systematic review. The primary objectives of this review is to answer the following research questions using formal research studies: What is the extent and quality of MFP intervention research? What are the effects on financial outcomes of financial services embedded within healthcare settings? What are the effects on health-related outcomes of financial services embedded within healthcare settings?

Reasons for non-attendance in youth mental health clinics: Insights from mobile messaging communications

AIM

Non-attendance at appointments in youth mental health services is a common problem which contributes to reduced service effectiveness and unmet needs. Reasons cited by young people for non-attendance are poorly understood. Information derived from short-message-service (SMS) conversations about appointments between patients and clinicians can uncover new insights about the circumstances leading to 'did not attend' events.

METHODS

Text messages between young people and clinicians were examined in a retrospective audit of medical records in two youth mental health services in Perth, Australia. Frequently non-attending young people aged 16-24 (n = 40) engaged in 302 SMS message chains about appointments. Mixed methods included quantitative data and qualitative thematic analysis of textual data.

RESULTS

Medical reasons (32/190, 16.8%) and forgetfulness (20/190, 10.5%) were the most frequent reasons for non-attendance. Major issues included non-avoidable events while others were potentially preventable and could be addressed by the service.

CONCLUSIONS

The analysis of mobile communications in clinical practice can be used for service evaluation and to reveal barriers that impede attendance to ongoing care.

Previous missed visits and independent risk of loss to follow-up in the high-risk neonatal follow-up clinic

BACKGROUND

Neonatal intensive care unit (NICU) patients are at high risk for developmental delays. As a result, many are seen in neonatal follow-up (NFU) clinics. Disparities in NFU follow-up rates by social determinants of health exist.

AIMS

Determine how the number of missed visits (composed of patient-canceled visits and no-show visits) relates to risk of loss to follow-up in the NFU clinic.

STUDY DESIGN

Retrospective cohort study at a regional specialty center in the United States.

SUBJECTS

262 patients born between January 1, 2014, and December 31, 2017, who were referred to the NFU clinic.

OUTCOME MEASURES

Logistic binomial regression was used to model risk ratio of loss to follow-up over two years, defined as not attending a recommended follow-up visit and not informing the clinic of a reason for discontinued care.

RESULTS

Of 262 infants, 220 patients (84 %) were seen for at least one visit and 143 (65 %) completed follow-up. Younger maternal age, maternal smoking during pregnancy, maternal drug use during pregnancy, and public insurance were all associated with missing more visits. For each additional missed visit, the risk of loss to follow-up was 1.73 times higher unadjusted (95 % CI: 1.33, 2.26) and 1.81 times higher (95 % CI: 1.36, 2.40) after adjusting for confounders. The risk ratio of loss to follow-up for no-show visits was three times higher than that for patient-canceled visits.

CONCLUSIONS

Each missed visit was independently associated with higher risk of loss to follow-up from NFU clinic, even after adjusting for other risk factors.

Disparities in high risk prenatal care adherence along racial and ethnic lines

The term "high-risk pregnancy" describes a pregnancy at increased risk for complications due to various maternal or fetal medical, surgical, and/or anatomic issues. In order to best protect the pregnant patient and the fetus, frequent prenatal visits and monitoring are often recommended. Unfortunately, some patients are unable to attend these appointments for various reasons. Moreover, it has been documented that patients from ethnically and racially diverse backgrounds are more likely to miss medical appointments than are Caucasian patients. For instance, a case-control study retrospectively identified the race/ethnicity of patients who no-showed for mammography visits in 2018. Women who no-showed were more likely to be African American than patients who kept their appointments, with an odds ratio of 2.64 (4). Several other studies from several other primary care and specialty disciplines have shown similar results. However, the current research on high-risk obstetric no-shows has focused primarily on why patients miss their appointments rather than which patients are missing appointments. This is an area of opportunity for further research. Given disparities in health outcomes among underrepresented racial/ethnic groups and the importance of prenatal care, especially in high-risk populations, targeted attempts to increase patient participation in prenatal care may improve maternal and infant morbidity/mortality in these populations.

Relationship Between Unmet Social Needs and Care Access in a Veteran Cohort

BACKGROUND

The association between unmet social needs (e.g., food insecurity) and adverse health outcomes is well-established, especially for patients with and at risk for cardiovascular disease (CVD). This has motivated healthcare systems to focus on unmet social needs. Yet, little is known about the mechanisms by which unmet social needs impact health, which limits healthcare-based intervention design and evaluation. One conceptual framework posits that unmet social needs may impact health by limiting care access, but this remains understudied.

OBJECTIVE

Examine the relationship between unmet social needs and care access.

DESIGN

Cross-sectional study design using survey data on unmet needs merged with administrative data from the Veterans Health Administration (VA) Corporate Data Warehouse (September 2019-March 2021) and multivariable models to predict care access outcomes. Pooled and separate rural and urban logistic regression models were utilized with adjustments from sociodemographics, region, and comorbidity.

SUBJECTS

A national stratified random sample of VA-enrolled Veterans with and at risk for CVD who responded to the survey.

MAIN MEASURES

No-show appointments were defined dichotomously as patients with one or more missed outpatient visits. Medication non-adherence was measured as proportion of days covered and defined dichotomously as adherence less than 80%.

KEY RESULTS

Greater burden of unmet social needs was associated with significantly higher odds of no-show appointments (OR = 3.27, 95% CI = 2.43, 4.39) and medication non-adherence (OR = 1.59, 95% CI = 1.19, 2.13), with similar associations observed for rural and urban Veterans. Social disconnection and legal needs were especially strong predictors of care access measures.

CONCLUSIONS

Findings suggest that unmet social needs may adversely impact care access. Findings also point to specific unmet social needs that may be especially impactful and thus might be prioritized for interventions, in particular social disconnection and legal needs.

Online survey and interview evaluation to explore the use of video consulting among Allied Health Professionals during the COVID-19 pandemic

OBJECTIVES

Allied Health Professionals (AHP) consist of 13 different specialty roles in Wales, sharing the responsibility of promoting and supporting the health and well-being of the population. During the COVID-19 pandemic, there was a shift in care provision, with the increased use of online consultations, such as those using video consultation platforms. However, this shift was associated with uncertainty and hesitancy, and, thus, to understand the usage and reasons for using video consultations, this study aimed to capture the experiences of both AHP and their patients, while investigating each role individually.

PARTICIPANTS

A survey was distributed to and completed by n=8928 patients and n=4974 clinicians, all AHP were included except for orthoptists and paramedics due to ambiguities in the data. A further 86 clinicians participated in phone interviews.

RESULTS

All professions had a high prevention of face-to-face with the use of video consultations (68.6% overall and 81.4% of clinicians reported the prevention). However, this was lower for certain professions such as podiatrists, potentially due to the specific patient needs, such as physical assessments. Also, a range of different appointment types were being conducted, and there was a high acceptance of these alternative methods among participants. The interviews with clinicians revealed five important aspects of video consultations: the perceived benefits, the perceived challenges, technology issues and necessary improvements, clinician preference and the future of video consulting. Specifically, the future of video consulting evidenced clinicians' desire for a blended approach to working, selecting the appropriate modality depending on the situation and patient-specific needs.

CONCLUSIONS

Integrating the traditional methods of service delivery (face-to-face), and novel, innovative ways, such as video consultations, can motivate positive transformations for the efficiency and efficacy of health and social care.

Ethnicity and trends in pediatric specialty care clinic attendance at an academic medical center in the rural southeastern US

Following the 2016 US Presidential election, immigration enforcement became more aggressive, with variation by state and region depending on local policies and sentiment. Increases in enforcement created an environment of risk for decreased use of health care services among especially among Latino families. of Hispanic ethnicity and/or from Latin American origin (as a group subsequently referred to as Latino). For Latino children with chronic health conditions, avoidance of routine health care can result in significant negative health consequences such as disease progression, avoidable use of acute health care services, and overall increased costs of care. To investigate for changes in visit attendance during the periods before and since increased immigration enforcement, we extracted data on children followed by subspecialty clinics of one healthcare system in the US state of North Carolina during 2015-2019. For each patient, we calculated the proportion of cancelled visits and no-show visits out of all scheduled visits during the 2016-2019 follow-up period. We compared patient characteristics (at the 2015 baseline) according to whether they cancelled or did not show to any visits in subsequent years by clinic and patient factors, including ethnicity. Data were analyzed using multinomial logistic regression of attendance at each visit, including an interaction between visit year and patient ethnicity. Among 852 children 1 to 17 years of age (111 of Latino ethnicity), visit no-show was more common among Latino patients, compared to non-Latino White patients; while visit cancellation was more common among non-Latino White patients, compared to Latino patients. There was no significant interaction between ethnicity and trends in visit no-show or cancellation. Although differences in pediatric specialty clinic visit attendance by patient ethnicity were seen at study baseline, changing immigration policy and negative rhetoric did not appear to impact use of pediatric subspecialty care.

Clinic-Based Financial Coaching and Missed Pediatric Preventive Care: A Randomized Trial

OBJECTIVES

Poverty is a common root cause of poor health and disrupts medical care. Clinically embedded antipoverty programs that address financial stressors may prevent missed visits and improve show rates. This pilot study evaluated the impact of clinic-based financial coaching on adherence to recommended preventive care pediatric visits and vaccinations in the first 6 months of life.

METHODS

In this community-partnered randomized controlled trial comparing clinic-based financial coaching to usual care among low-income parent-infant dyads attending pediatric preventive care visits, we examined the impact of the longitudinal financial intervention delivered by trained coaches addressing parent-identified, strengths-based financial goals (employment, savings, public benefits enrollment, etc.). We also examined social needs screening and resource referral on rates of missed preventive care pediatric visits and vaccinations through the 6-month well-child visit.

RESULTS

Eighty-one parent-infant dyads were randomized (35 intervention, 46 control); nearly all parents were mothers and more than one-half were Latina. The rate of missed visits among those randomized to clinic-based financial coaching was half that of controls (0.46 vs 1.07 missed of 4 recommended visits; mean difference, 0.61 visits missed; P = .01). Intervention participants were more likely to have up-to-date immunizations each visit (relative risk, 1.26; P = .01) with fewer missed vaccinations by the end of the 6-month preventive care visit period (2.52 vs 3.8 missed vaccinations; P = .002).

CONCLUSIONS

In this pilot randomized trial, a medical-financial partnership embedding financial coaching within pediatric primary care improved low-income families' adherence to recommended visits and vaccinations. Clinic-based financial coaching may improve care continuity and quality in the medical home.

Associations between symptoms with healthcare utilization and death in advanced cancer patients

INTRODUCTION

There is limited data about assessments that are associated with increased utilization of medical services among advanced oncology patients (AOPs). We aimed to identify factors related to healthcare utilization and death in AOP.

METHODS

AOPs at a comprehensive cancer center were enrolled in a Center for Medicare and Medicaid Innovation program. Participants completed the Edmonton Symptom Assessment Scale (ESAS) and the Functional Assessment of Cancer Therapy-General (FACT-G) scale. We examined factors associated with palliative care (PC), acute care (AC), emergency room (ER), hospital admissions (HA), and death.

RESULTS

In all, 817 AOPs were included in these analyses with a median age of 69. They were generally female (58.7%), white (61.4%), stage IV (51.6%), and represented common cancers (31.5% GI, 25.2% thoracic, 14.3% gynecologic). ESAS pain, anxiety, and total score were related to more PC visits (B=0.31, 95% CI [0.21, 0.40], p<0.001; B=0.24 [0.12, 0.36], p<0.001; and B=0.038 [0.02, 0.06], p=0.001, respectively). Total FACT-G score and physical subscale were related to total PC visits (B=-0.021 [-0.037, -0.006], p=0.008 and B=-0.181 [-0.246, -0.117], p<0.001, respectively). Lower FACT-G social subscale scores were related to more ER visits (B=-0.03 [-0.53, -0.004], p=0.024), while increased tiredness was associated with fewer AC visits (B=-0.039 [-0.073, -0.006], p=0.023). Higher total ESAS scores were related to death within 30 days (OR=0.87 [0.76, 0.98], p=0.027).

CONCLUSIONS

The ESAS and FACT-G assessments were linked to PC and AC visits and death. These assessments may be useful for identifying AOPs that would benefit from routine PC.

Predicting no-show appointments in a pediatric hospital in Chile using machine learning

The Chilean public health system serves 74% of the country's population, and 19% of medical appointments are missed on average because of no-shows. The national goal is 15%, which coincides with the average no-show rate reported in the private healthcare system. Our case study, Doctor Luis Calvo Mackenna Hospital, is a public high-complexity pediatric hospital and teaching center in Santiago, Chile. Historically, it has had high no-show rates, up to 29% in certain medical specialties. Using machine learning algorithms to predict no-shows of pediatric patients in terms of demographic, social, and historical variables. To propose and evaluate metrics to assess these models, accounting for the cost-effective impact of possible intervention strategies to reduce no-shows. We analyze the relationship between a no-show and demographic, social, and historical variables, between 2015 and 2018, through the following traditional machine learning algorithms: Random Forest, Logistic Regression, Support Vector Machines, AdaBoost and algorithms to alleviate the problem of class imbalance, such as RUS Boost, Balanced Random Forest, Balanced Bagging and Easy Ensemble. These class imbalances arise from the relatively low number of no-shows to the total number of appointments. Instead of the default thresholds used by each method, we computed alternative ones via the minimization of a weighted average of type I and II errors based on cost-effectiveness criteria. 20.4% of the 395,963 appointments considered presented no-shows, with ophthalmology showing the highest rate among specialties at 29.1%. Patients in the most deprived socioeconomic group according to their insurance type and commune of residence and those in their second infancy had the highest no-show rate. The history of non-attendance is strongly related to future no-shows. An 8-week experimental design measured a decrease in no-shows of 10.3 percentage points when using our reminder strategy compared to a control group. Among the variables analyzed, those related to patients' historical behavior, the reservation delay from the creation of the appointment, and variables that can be associated with the most disadvantaged socioeconomic group, are the most relevant to predict a no-show. Moreover, the introduction of new cost-effective metrics significantly impacts the validity of our prediction models. Using a prototype to call patients with the highest risk of no-shows resulted in a noticeable decrease in the overall no-show rate.

Pediatric Practices' Perceptions of Text Message Communication with Families: An American Academy of Pediatrics (AAP), Pediatric Research in Office Settings (PROS) Study

Background

Text messages can be an effective and low-cost mechanism for patient reminders; however, they are yet to be consistently integrated into pediatric primary care.

Objective

The aim of this study was to explore pediatric primary care clinician and staff perceptions of pediatric office text message communication with families.

Methods

As part of the National Institutes of Health-funded Flu2Text randomized controlled trial of second-dose influenza vaccine text message reminders, we conducted 7 focus groups and 4 individual interviews in July-August 2019 with primary care pediatric clinicians and staff (n = 39). Overall, 10 Pediatric Research in Office Settings (PROS) pediatric practices in 10 states were selected using stratified sampling. Semi-structured discussion guides included perspectives on possible uses, perceived usefulness, and ease of use of text messages; practices' current text messaging infrastructure; and perceived barriers/facilitators to future use of texting. Two investigators independently coded and analyzed transcripts based on the technology acceptance model using NVIVO 12 Plus (intercoder reliability, K = 0.86).

Results

Overall, participants were supportive of text reminders for the second-dose influenza vaccine, other vaccines, and appointments and perceived texting as a preferred method of communication for caregivers. Health information privacy and patient confidentiality were the main concerns cited. Only respondents from practices with no internal appointment text message reminder system prior to the study expressed concerns about technology implementation logistics, time, and cost.

Conclusion

Text message reminders, for various uses, appear to be well accepted among a group of geographically widespread pediatric practices after participation in a trial of influenza vaccine text message reminders. Privacy, confidentiality, and resource barriers need to be addressed to facilitate successful implementation.

Pediatric COVID-19 Health Disparities and Vaccine Equity

While most children with coronavirus 2019 (COVID-19) experience mild illness, some are vulnerable to severe disease and develop long-term complications. Children with disabilities, those from lower-income homes, and those from racial and ethnic minority groups are more likely to be hospitalized and to have poor outcomes following an infection. For many of these same children, a wide range of social, economic, and environmental disadvantages have made it more difficult for them to access COVID-19 vaccines. Ensuring vaccine equity in children and decreasing health disparities promotes the common good and serves society as a whole. In this article, we discuss how the pandemic has exposed long-standing injustices in historically marginalized groups and provide a summary of the research describing the disparities associated with COVID-19 infection, severity, and vaccine uptake. Last, we outline several strategies for addressing some of the issues that can give rise to vaccine inequity in the pediatric population.

Risk Factors for Operating Room No-Show in an Academic Otolaryngology Practice

OBJECTIVES/HYPOTHESIS

A no-show to the operating room date negatively impacts a hospital and can lead to increased costs for an institution in terms of time, materials, and manpower. Our objectives are to identify the factors associated with operating room no-shows in order to increase clinical efficiency, reduce hospital costs, and increase patient access to care.

STUDY DESIGN

Single institution retrospective chart review.

METHODS

A retrospective review was performed of all surgeries within the Otolaryngology department performed at a single tertiary academic center between 2006 and 2019. Demographic and surgical data were collected from the charts. Descriptive, univariate, and multivariate statistics were performed on the data.

RESULTS

There were a total of 1,752 no-shows and 46,440 patients who did show with an overall no-show rate of 3.63%. A multivariate logistic regression analysis was performed to compare patients who did not show for surgery to those who did. Analysis found multiple risk factors for not showing to surgery that were statistically significant (P < .05) and included decreasing age, planned outpatient case, head and neck oncology subspecialty, increasing distance from the facility, higher number of clinic no-shows, and not having private insurance. African-American race was more likely to show for surgery as scheduled.

CONCLUSIONS

Numerous factors may play a role on whether or not a patient attends a scheduled surgical date. Some of these factors may be preventable or modifiable to mitigate increased hospital costs associated with no-show to surgery and increase access to care.

LEVEL OF EVIDENCE

3 Laryngoscope, 132:1738-1742, 2022.

Examining no-show rates in a community health centre in the United States

The purpose of this research was to examine patient characteristics that may be associated with appointment no-show rates, and to explore patients' perspectives of missed appointments at a community health centre that primarily serves low-income individuals. This mixed-method, cross-sectional study is based upon data collected from a community health centre in Southeastern Tennessee in the United States that provided preventative medical, behavioural health and dental care. Authors utilised de-identified electronic health record (EHR) information on no-show occurrence and sociodemographic characteristics of all patients served by the clinic (n = 1,243), as well as completed mixed method patient interviews a sub-sample of those receiving service from the clinic (n = 30). EHR data were pulled from clinic visits occurring during July-November 2017, and patient interviews were completed January-March 2018. Measures were developed by the authors and clinic administrators after a thorough review of existing literature. HER data demonstrated an association between higher no-show rate and younger patients was identified and Black or African American patients had higher no-show rate than White patients. However, no differences in no-show rate existed between male and female participants or when examining patients' location. Based on interview data, patients were generally satisfied with their services or providers, but some indicated dissatisfaction. Patients typically missed appointments due to personal issues and societal barriers. Findings support the need for clinics to consider ways to support patients facing competing demands for their time or those facing more resource constraints. Recommendations for research include examining long-term health outcomes of clients who are experiencing no-shows. Changes in practice or procedures were also noted, such as providing transportation, elevating awareness and access to social services, ensuring that that social care workers are reaching out to clients with higher no-shows and educating clients on the importance of preventative care.

Racial and ethnic disparities in pediatric magnetic resonance imaging missed care opportunities

BACKGROUND

Imaging missed care opportunities (MCOs), previously referred to as "no shows," impact timely patient diagnosis and treatment and can exacerbate health care disparities. Understanding factors associated with imaging MCOs could help advance pediatric health equity.

OBJECTIVE

To assess racial/ethnic differences in pediatric MR imaging MCOs and whether health system and socioeconomic factors, represented by a geography-based Social Vulnerability Index (SVI), influence racial/ethnic differences.

MATERIALS AND METHODS

We conducted a retrospective analysis of MR imaging MCOs in patients younger than 21 years at a pediatric academic medical center (2015-2019). MR imaging MCOs were defined as: scheduled but appointment not attended, canceled within 24 h, and canceled but not rescheduled. Mixed effects multivariable logistic regression assessed the association between MCOs and race/ethnicity and community-level social factors, represented by the SVI.

RESULTS

Of 68,809 scheduled MRIs, 6,159 (9.0%) were MCOs. A higher proportion of MCOs were among Black/African-American and Hispanic/Latino children. Multivariable analysis demonstrated increased odds of MCOs among Black/African-American (adjusted odds ratio [aOR] 1.9, 95% confidence interval [CI] 1.7-2.3) and Hispanic/Latino (aOR 1.5, 95% CI 1.3-1.7) children compared to White children. The addition of SVI >90th percentile to the adjusted model had no effect on adjusted OR for Black/African-American (aOR 1.9, 95% CI 1.7-2.2) or Hispanic/Latino (aOR 1.5, 95% CI 1.3-1.6) children. Living in a community with SVI >90th percentile was independently associated with MCOs.

CONCLUSION

Black/African-American and Hispanic/Latino children were almost twice as likely to experience MCOs, even when controlling for factors associated with MCOs. Independent of race/ethnicity, higher SVI was significantly associated with MCOs. Our study supports that pediatric health care providers must continue to identify systemic barriers to health care access for Black/African-American and Hispanic/Latino children and those from socially vulnerable areas.

Adolescent attendance at transcultural psychotherapy: a retrospective cohort study

Migrant adolescents in therapy for psychological problems are at risk of poor attendance or even of dropping out. Transcultural psychotherapy has been developed in France to take cultural diversity into account in psychological treatment and to deal with the specific difficulties encountered in the psychotherapeutic treatment of this population. This study aims to assess adolescents' attendance rates to this form of psychotherapy and to explore the association of these rates with demographic, cultural, and clinical variables. We conducted a retrospective clinical cohort study of 148 adolescents aged from 11 to 20 years treated between 2008 and 2018 at two transcultural psychotherapy centers in Paris. Statistical analyses tested demographic, cultural, and clinical hypotheses. The main result was the high attendance rate at transcultural psychotherapy sessions among adolescents (77.8%). Attendance rates were not associated with age, gender, family size, generation of migration, or cultural area of origin, but were significantly linked to support in therapy, specifically, the presence at the first transcultural psychotherapy session of the first-line therapist, an interpreter, or both. Transcultural psychotherapy appears to be an effective method for addressing the complex symptoms experienced by migrant adolescents. Better attendance at sessions is statistically significantly associated with factors favoring a therapeutic alliance, specifically, the presence of the first-line therapist or an interpreter in TPT sessions and the existence of support from a social worker. The holistic approach of transcultural psychotherapy to adolescent care may explain the high attendance rates observed.

Patient Characteristics Associated With Missed Appointments in Pediatric Subspecialty Clinics

OBJECTIVES

Missed appointments negatively affect patients, providers, and health systems. This study aimed to (1) quantify the percentage of missed appointments across 14 pediatric subspecialties in a tertiary-care children's hospital and (2) identify patient characteristics associated with missed appointments in those subspecialties.

METHODS

We extracted patient characteristics from 267,151 outpatient appointments, between January 1, 2013, and December 31, 2018, across 14 subspecialty clinics. Medical complexity was categorized using the Pediatric Medical Complexity Algorithm. The primary outcome was appointment nonattendance. Cancellations, imaging/laboratory visits, patients older than 18 years, and duplicate visits were excluded. Characteristics associated with nonattendance were analyzed with chi-square tests and included in the multivariable model if p < .1. Missing data were addressed using random forest imputation, and assuming data were "missing at random." Variables were considered statistically significant if p < .05.

RESULTS

Of the 128,117 scheduled appointments analyzed, 23,204 (18.1%) were missed. In the multivariable model, clinical nutrition had the greatest subspecialty odds of missed appointments, whereas cardiology had the lowest. Patient characteristics most strongly associated with missed appointments were public insurance, history of >2 missed appointments, appointment lead time, lesser medical complexity, Black race/ethnicity, and fewer medications.

CONCLUSIONS

Clinical characteristics including lesser medical complexity and fewer medications are associated with missed appointments in pediatric subspecialties.

Missed initial appointments at Israeli child development centres: Rate, reasons, and associated characteristics

INTRODUCTION

Missed appointments (MAs) at child development centres (ChDCs) cause multiple problems: they preclude timely diagnosis and treatment of both the invited child and children whose appointment was delayed due to overbooking, as well as disrupting efficient organisational management. The aim of this study was to assess the rate and describe the reasons for missed appointments at Israeli ChDCs, and to evaluate the association of socio-demographic, clinical, and administrative variables with MA rates.

METHODS

This nested case-control study included all children scheduled for initial appointments (N = 1143) at three centres during 1 year. Parents of children who missed their appointment and a sample of those who attended were interviewed by telephone.

RESULTS

The rate of missed appointments was 26.6%, and the most frequent reasons were unexpected events (26.0%) and lack of insurance coverage (23.4%). Variables associated with lower MA rates were: having had ≥3 types of rehabilitative interventions (odds ratios (OR) = 0.26; 95% confidence interval [CI] 0.16-0.44), detailed referral letter (OR = 0.48; 95%CI 0.30-0.75), telephone reminder (OR = 0.37; 95%CI 0.24-0.57) and health maintenance organisations or private insurance coverage (OR = 0.12; 95%CI 0.06-0.17 and OR = 0.56; 95% CI 0.38-0.89, respectively).

CONCLUSION

Encouraging physician's referral letters and personal-contact reminders can reduce missed appointments. Understanding the family's and the child's personal characteristics, and the organisational/administrative aspects of missed appointments may guide efforts to ensure timely care for every child.

Short-Term Outcomes of the Boston Brace 3D Program Based on SRS and SOSORT Criteria: A Retrospective Study

Background: Adolescent idiopathic scoliosis (AIS) is characterized by a lateral curvature of the spine with a Cobb angle greater than 10 degrees, accompanied by rotation of the vertebral body. Bracing has been shown to be effective in halting the progression of at-risk curves, and, in some cases, even improving the Cobb angle by 6° or more. The Boston Brace 3D is part of the Boston Orthotics and Prosthetics standardized scoliosis program. The orthosis is custom-fabricated from scans, computer-aided design (CAD), and computer-aided manufactured (CAM) thoracolumbosacral orthosis used in the non-operative management of AIS. Aim: To evaluate the outcomes of a scoliosis program utilizing the Boston Brace 3D orthosis for patients with AIS, based on SRS and SOSORT criteria. Design: Retrospective study. Methods: An electronic medical records search was conducted to identify first-time brace wearers fitted between 1 January 2018, and 30 June 2019, at Boston Orthotics and Prosthetics Boston area clinics that met the SRS/SOSORT research guidelines. The initial out-of-brace, in-brace, and last follow-up X-rays (taken at least 12 months after fitting) were compared. Results: 84% of patients presenting with a single curve and 69% of patients with a double curve saw their curves improve (reduced 6° or more) or remain unchanged (±5°). Thirty-one patients started with a single curve between 25° and 30°, and thirty-two presented at 30° or below. Fifty-nine patients started with a double curve between 25° and 30°, and 59 patients presented at 30° or below. In general, the patients who wore their brace for more hours per day saw improved results. Conclusion: The Boston Brace 3D program is effective in controlling (and in some cases improving) curve progression in the non-operative management of adolescent idiopathic scoliosis. The approach is a repeatable system, as shown in this cohort of thirteen clinicians across six area clinics following the Boston Brace 3D clinical guidelines.

Impact of United States 2017 Immigration Policy changes on missed appointments at two Massachusetts Safety-Net Hospitals

INTRODUCTION

Studies have shown mixed findings regarding the impact of immigration policy changes on immigrants' utilization of primary care.

METHODS

We used a difference-in-differences analysis to compare changes in missed primary care appointments over time across two groups: patients who received care in Spanish, Portuguese, or Haitian Creole, and non-Hispanic, white patients who received care in English.

RESULTS

After adjustment for age, sex, race, insurance, hospital system, and presence of chronic conditions, immigration policy changes were associated with an absolute increase in the missed appointment prevalence of 0.74 percentage points (95% confidence interval: 0.34, 1.15) among Spanish, Portuguese and Haitian-Creole speakers. We estimated that missed appointments due to immigration policy changes resulted in lost revenue of over $185,000.

CONCLUSIONS

We conclude that immigration policy changes were associated with a significant increase in missed appointments among patients who receive medical care in languages other than English.

Association of Neighborhood Resources and Race and Ethnicity With Readmissions for Diabetic Ketoacidosis at US Children's Hospitals

Importance

The Child Opportunity Index 2.0 (COI) assesses neighborhood resources and conditions that influence health. It is unclear whether the COI scores are associated with health outcomes by race and ethnicity among children with type 1 diabetes (T1D).

Objective

To determine whether COI categories are associated with diabetes-related outcomes by race and ethnicity, including readmissions for diabetic ketoacidosis (DKA) and co-occurring acute kidney injury (AKI) or cerebral edema (CE).

Design, Setting, and Participants

This cross-sectional study included children discharged with a primary diagnosis of T1D with DKA between January 1, 2009, and December 31, 2018. Merged data were obtained from the Pediatric Health Information System and COI. Participants included children and adolescents younger than 21 years with an encounter for DKA. Data were analyzed from April 29, 2021, to January 5, 2022.

Exposures

Neighborhood opportunity, measured with the COI as an ordered, categorical score (where a higher score indicates more opportunity), and race and ethnicity.

Main Outcomes and Measures

The primary outcome was readmission for DKA within 30 and 365 days from an index visit. Secondary outcomes included the proportion of encounters with AKI or CE. Mixed-effects logistic regression was used to generate probabilities of readmission, AKI, and CE for each quintile of COI category by race and ethnicity.

Results

A total of 72 726 patient encounters were identified, including 38 924 (53.5%) for girls; the median patient age was 13 (IQR, 9-15) years. In terms of race and ethnicity, 600 (0.8%) of the encounters occurred in Asian patients, 9969 (13.7%) occurred in Hispanic patients, 16 876 (23.2%) occurred in non-Hispanic Black (hereinafter Black) patients, 40 129 (55.2%) occurred in non-Hispanic White (hereinafter White) patients, and 5152 (7.1%) occurred in patients of other race or ethnicity. The probability of readmission within 365 days was significantly higher among Black children with a very low COI category compared with Hispanic children (risk difference, 7.8 [95% CI, 6.0-9.6] percentage points) and White children (risk difference, 7.5 [95% CI, 5.9-9.1] percentage points) at the same COI category. Similar differences were seen for children with very high COI scores and across racial groups. The COI category was not associated with AKI or CE. However, race and ethnicity constituted a significant factor associated with AKI across all COI categories. The probability of AKI was 6.8% among Black children compared with 4.2% among Hispanic children (risk difference, 2.5 [95% CI, 1.7-3.3] percentage points) and 4.8% among White children (risk difference, 2.0 [95% CI, 1.3-2.6] percentage points).

Conclusions and Relevance

These results suggest that Black children with T1D experience disparities in health outcomes compared with other racial and ethnic groups with similar COI categories. Measures to prevent readmissions for DKA should include interventions that target racial disparities and community factors.

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.].

Machine learning approaches to predicting no-shows in pediatric medical appointment

Patients’ no-shows, scheduled but unattended medical appointments, have a direct negative impact on patients’ health, due to discontinuity of treatment and late presentation to care. They also lead to inefficient use of medical resources in hospitals and clinics. The ability to predict a likely no-show in advance could enable the design and implementation of interventions to reduce the risk of it happening, thus improving patients’ care and clinical resource allocation. In this study, we develop a new interpretable deep learning-based approach for predicting the risk of no-shows at the time when a medical appointment is first scheduled. The retrospective study was conducted in an academic pediatric teaching hospital with a 20% no-show rate. Our approach tackles several challenges in the design of a predictive model by (1) adopting a data imputation method for patients with missing information in their records (77% of the population), (2) exploiting local weather information to improve predictive accuracy, and (3) developing an interpretable approach that explains how a prediction is made for each individual patient. Our proposed neural network-based and logistic regression-based methods outperformed persistence baselines. In an unobserved set of patients, our method correctly identified 83% of no-shows at the time of scheduling and led to a false alert rate less than 17%. Our method is capable of producing meaningful predictions even when some information in a patient’s records is missing. We find that patients’ past no-show record is the strongest predictor. Finally, we discuss several potential interventions to reduce no-shows, such as scheduling appointments of high-risk patients at off-peak times, which can serve as starting point for further studies on no-show interventions.

Neighborhood Socioeconomic Deprivation and Health Care Utilization of Medically Complex Children

OBJECTIVES

To assess the association between neighborhood socioeconomic deprivation and health care utilization in a cohort of children with medical complexity (CMC).

METHODS

Cross-sectional study of children aged <18 years receiving care in our institution's patient-centered medical home (PCMH) for CMC in 2016 to 2017. Home addresses were assigned to census tracts and a tract-level measure of socioeconomic deprivation (Deprivation Index with range 0-1, higher numbers represent greater deprivation). Health care utilization outcomes included emergency department visits, hospitalizations, inpatient bed days, and missed PCMH clinic appointments. To evaluate the independent association between area-level socioeconomic deprivation and utilization outcomes, multivariable Poisson and linear regression models were used to control for demographic and clinical covariates.

RESULTS

The 512 included CMC lived in neighborhoods with varying degrees of socioeconomic deprivation (median 0.32, interquartile range 0.26-0.42, full range 0.12-0.82). There was no association between area-level deprivation and emergency department visits (adjusted risk ratio [aRR] 0.98; 95% confidence interval [CI]: 0.93 to 1.04), hospitalizations (aRR 0.97; 95% CI: 0.92 to 1.01), or inpatient bed-days (aRR 1.00, 95% CI: 0.80 to 1.27). However, there was a 13% relative increase in the missed clinic visit rate for every 0.1 unit increase in Deprivation Index (95% CI: 8%-18%).

CONCLUSIONS

A child's socioeconomic context is associated with their adherence to PCMH visits. Our PCMH for CMC includes children living in neighborhoods with a range of socioeconomic deprivation and may blunt effects from harmful social determinants. Incorporating knowledge of the socioeconomic context of where CMC and their families live is crucial to ensure equitable health outcomes.

Investigating the reasons for missing an outpatient appointment in Royal Hospital, Sultanate of Oman: Perspectives of patients and medical staff in a survey

Introduction

Missed appointments are a major health issue in the healthcare systems globally. They directly impact on the use of hospital resources, patient's health, and can lead to patient's dissatisfaction. This study was conducted to assess the reasons for missing a hospital appointment.

Methods

A survey was conducted with a randomly selected sample of patients who missed their outpatient appointment in Royal hospital, Sultanate of Oman, from March to April 2021 in six clinics. Patients were interviewed via telephone to answer a structured survey. In addition, a self‐administered survey was distributed to medical staff to explore their perspectives.

Results

Two hundred eighty patients and 52 medical staff participated in the study. Frequent patient‐reported reasons for missed appointment were transportation difficulties (11.4%), no longer needing (7.5%), or forgetting the appointment (6.8%); staff‐reported reasons were transportation (23.8%), no SMS received (16.9%), and forgetting the appointment (15.4%). Frequencies of reasons varied substantially between clinics. Family obligations were the main theme in obstetrics (odds ratio [OR] 9.48; 95% confidence interval [CI] 2.66‐33.78) and in diabetes clinic (OR 10.55; 95% CI 2.68‐38.58), where transportation issue was the main theme in Oncology clinic (OR 4.83; 95% CI 1.11‐21.02). The recommendations for improvement were mainly around improving the reminder system, the use of telephone reminders, and developing a flexible appointment scheduling system.

Conclusion

Knowing the reasons for missed appointment from patients and health professionals can help to develop effective interventions. The heterogeneity between clinics in reasons for missed appointment indicates for interventions tailored to clinic and frequent reasons.

Impact of Auditory-Oral Education on Device Use in Children With Hearing Loss

PURPOSE

This study examined changes in datalogging for children attending an auditory-oral educational program with integrated audiology services versus children attending a mainstream or nonspecialized program.

METHOD

Eighty children participated in this study, half of which were enrolled in an auditory-oral educational program versus the nonspecialized or mainstream setting. Datalogging for cochlear implant and hearing aid users was obtained via retrospective medical and educational chart review from 2016 to 2019.

RESULTS

Results demonstrated that at post-enrollment, children attending the auditory-oral educational program significantly increased device wear time (as measured by average hours/day) when compared to the control group. Children using hearing aids enrolled in the specialized educational program obtained the largest improvement in overall wear time, averaging an increase of 5 hr/day of device use from pre- to post-enrollment.

CONCLUSIONS

This is the first study to document the association of specialized educational programs on device use. Clinical and educational programs should collaborate to provide integrated services to lessen family burden and increase a child's device use and retention.

Characterization of Social Risk Factors Among Newborns Seen at an Urban Pediatric Primary Care Predictive of Appointment Nonattendance During the First 6 Months of Life

Purpose: Appointment attendance is critical in monitoring health and well-being of children. Low income Medicaid-insured families with newborns often experience social risks that may affect attendance. This project sought to characterize social risk factors present at first newborn visits predictive of future appointment nonattendance.

Methods: Retrospective cohort study of minority and Medicaid-insured population at St. Christopher's Hospital for Children using a standardized social risk screener administered at first newborn visits as part of routine clinical care. In total, 720 survey responses between December 2016 and June 2017 were correlated with electronic health record-derived sociodemographic and appointment attendance data in the first 6 months of life. Nonattendance included missed and canceled appointments. Caregiver-reported social risk factors were included as covariates in linear regressions predicting proportion nonattendance outcomes.

Results: Newborn caregivers identified many social risk factors including mental health diagnoses (14%), lack of child care support (45%), and food insecurity (9%). Approximately 74% had nonattendance with 41% missing or canceling a quarter or more appointments. Number of siblings (p<0.01) and maternal age (p<0.01) were most predictive for nonattendance, respectively. Other social risks were not significant except for maternal mental health (p=0.01) among those identifying number of risk factors above cohort average (16%).

Conclusion: Screening of newborns at first medical visits can be used to characterize social risks. Most social risk factors at first visits were not strongly predictive of nonattendance, although our results suggested associations between non-attendance and maternal demographics, mental health and household makeup.

Addressing Transportation Insecurity Improves Attendance at Posthospitalization Appointments

BACKGROUND

Transportation influences attendance at posthospitalization appointments (PHAs). In 2017, our pediatric hospital medicine group found that our patients missed 38% of their scheduled PHAs, with several being due to transportation insecurity. To address this, we implemented a quality improvement project to perform inpatient assessment of transportation insecurity and provide mitigation with the goal of improving attendance at PHAs.

METHODS

The process measure was the percentage of patients with completed transportation insecurity screening, and the outcome measure was PHA attendance. An interprofessional team performed plan-do-study-act cycles. These included educating staff about the significance of transportation insecurity, its assessment, and documentation; embedding a list of local transportation resources in discharge instructions and coaching families on using these resources; notifying primary care providers of families with transportation insecurity; and auditing PHA attendance.

RESULTS

Between July 2018 and December 2019, electronic health record documentation of transportation insecurity assessment among patients on the pediatric hospital medicine service and discharged from the hospital (n = 1731) increased from 1% to 94%, families identified with transportation insecurity increased from 1.2% to 5%, and attendance at PHAs improved for all patients (62%-81%) and for those with transportation insecurity (0%-57%). Our balance measure, proportion of discharges by 2 pm, remained steady at 53%. Plan-do-study-act cycles revealed that emphasizing PHA importance, educating staff about transportation insecurity, and helping families identify and learn to use transportation resources all contributed to improvement.

CONCLUSIONS

Interventions implemented during the inpatient stay to assess for and mitigate transportation insecurity led to improvement in pediatric PHA attendance.

Creating a health equity and inclusion office in an academic pediatric medical center: priorities addressed and lessons learned

BACKGROUND

Over the last two decades, medical schools and academic health centers have acknowledged the persistence of health disparities in their patients and the lack of diversity in their faculty, leaders and extended workforce. We established an Office of Health Equity and Inclusion (OHEI) at our pediatric academic medical center after a thorough evaluation of prior diversity initiatives and review of faculty development data.

OBJECTIVE

To describe the lessons learned at a pediatric academic medical center in prioritizing and implementing health equity, diversity and inclusion (EDI) initiatives in creating the OHEI.

MATERIALS AND METHODS

We reviewed internal administrative data and faculty development data, including data related to faculty who are underrepresented in medicine, to understand the role of our EDI initiatives in the strategic priorities addressed and lessons learned in the creation of the OHEI.

RESULTS

The intentional steps taken in our medical center's strategic approach in the creation of this office led to four important lessons to improve pediatric health equity: (1) board, senior executive and institutional prioritization of EDI initiatives; (2) multi-specialty and interprofessional collaboration; (3) academic approach to EDI programmatic development; and (4) intentionality with accountability in all EDI initiatives.

CONCLUSION

The key lessons learned during the creation of an Office of Health Equity and Inclusion can provide guidance to other academic health centers committed to implementing institutional priorities that focus their EDI initiatives on the improvement of pediatric health equity.

Missed Appointments at a Child Development Centre and Barriers to Access Special Needs Services for Children in Klang Valley, Malaysia: A Mixed Methods Study

Attending appointments is vital for children with special needs, as such appointments involve long-term interdisciplinary care to ensure continuity of care and improve health and well-being. This study was performed to determine the prevalence of missed clinic appointments and identify the factors among those who have ever missed appointments and barriers of access to children's special needs services at the Child Development Centre (CDC) at the Universiti Kebangsaan Malaysia Medical Centre (UKMMC). Moreover, suggestions for improvement from the caregivers' perspectives were explored. This is an explanatory sequential mixed methods study among caregivers of children with developmental disabilities aged up to 17 years old. Of 197 caregivers, 62 (31.5%) had missed clinic appointments. Forgetfulness was the most frequently cited reason. The bi-variable analysis showed significant differences in missed appointment rates by gender of caregivers and duration of follow-up. The final logistic regression model demonstrated that, when combined with the effect of being a male caregiver as an independent variable, follow-up duration of more than 6 years increased 2.67 times the risk of missing an appointment. Caregivers' perceived barriers were transportation, caregiver, child and healthcare services factors. Policies and strategic plans should be focused on key findings from these factors to improve appointment adherence and accessibility to services for children with special needs.

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.

Characteristics Associated With New Patient Appointment No-Shows at an Academic Ophthalmology Department in the United States

PURPOSE

This study aimed to identify patient and appointment characteristics associated with no-shows to new patient appointments at a US academic ophthalmology department.

DESIGN

Cross-sectional study.

METHODS

This was a study of all adult patients with new patient appointments scheduled with an attending ophthalmologist at Penn State Eye Center between January 1^st and December 31^st of 2019. A multiple logistic regression model was used to assess the association between characteristics and no-show status.

RESULTS

Of 4,628 patients, 759 (16.4%) were no-shows. From the multiple logistic regression model, characteristics associated with no-shows were age (Odds Ratio (OR) for 18-40 years vs. >60 years: 3.41, 95% Confidence Interval (CI) 2.57, 4.51, p <0.001 and OR for 41-60 years vs. >60 years: 2.14, 95% CI 1.67, 2.74, p<0.001), median household income (OR for <$35,667 vs. >$59,445: 1.59, 95% CI 1.08, 2.34, p<0.001), insurance (OR for None vs. Medicare: 6.92, 95% CI 4.41, 10.86, p<0.001 and OR for Medicaid vs. Medicare: 1.54, 95% CI 1.18, 2.01, p=0.002), race (OR for Black vs. White: 2.62, 95% CI 2.00, 3.43, p<0.001 and OR for Other vs. White: 2.02, 95% CI 1.58, 2.59, p<0.001), and commute distance (OR for 5-10 mi vs. ≤5 mi: 1.73, 95% CI 1.17, 2.55, p=0.006). Appointments with longer lead times and scheduled with glaucoma or retina specialists were also significantly associated with greater no-shows.

CONCLUSION

Certain patient and appointment characteristics were associated with no-show status. These findings may assist in the development of targeted interventions at the patient, practice, and health system levels to improve appointment attendance.