Transportation characteristics associated with non-arrivals to paediatric clinic appointments: a retrospective analysis of 51 580 scheduled visits

Transportation Barriers in Pediatric Orthopaedic Clinic Visits

OBJECTIVES

To identify what transportation barriers pediatric patients face when traveling to a major metropolitan orthopaedic center, how these barriers affect care, and what changes can be made to address this issue.

STUDY DESIGN

A cross-sectional transportation survey was administered to 107 caregivers of patients being seen in the orthopaedic clinic at a tertiary children's hospital in a large metropolitan area. Using logistic regression analysis, we compared socioeconomic characteristics, transportation methods, and scheduling practices among caregivers who reported missing at least one visit in the past and those who reported never missing a visit.

RESULTS

13% (14/108) of caregivers reported missing one or more past visits due to late arrival or transportation issues. Families that traveled more than 45 minutes to clinic (P = 0.04), waited more than one week to schedule a visit (P = 0.002), or reported difficulty scheduling a visit (P = 0.02) were significantly more likely to have a history of nonattendance. In addition, patients who were nonambulatory (P = 0.007), used a mobility device (P = 0.007), or were non-White (P < 0.05) were significantly more likely to have missed a visit.

CONCLUSION

Travel time, difficult or delayed scheduling, and patient ambulatory status were all associated with missing orthopaedic clinic visits although other socioeconomic factors were not related. Interventions to improve orthopaedic clinic attendance should focus on promoting accessibility for patients with mobility limitations and encouraging simple and timely scheduling practices.

Pediatric Primary Care Clinicians' Perspectives on Telemedicine Use, 2020 Versus 2021

Objective: We examined the change in pediatric primary care clinician attitudes and perceptions about telemedicine after one year of telemedicine use. Methods: We administered a survey to pediatric primary care clinicians across 50 primary care practices in Pennsylvania in 2020 and 2021. Surveys were linked using a combination of deterministic and probabilistic matching. We used McNemar's test to compare change in responses from 2020 to 2021. Results: Among pediatric primary care clinicians surveyed in 2020 and 2021 (n = 101), clinicians agreed that telemedicine could always or usually deliver high-quality care for mental health (80% in 2020 and 78% in 2021), care coordination (77% in 2020 and 70% in 2021), acute care (33% in 2020 and 34% in 2021), or preventive care (25% in 2020 and 18% in 2021) and this did not significantly change. Clinician perceptions of usability, while high, declined over time with fewer endorsing ease of use (93% in 2020 and 80% in 2021) and reliability (14% in 2020 and 0% in 2021) over time. Despite this, 62% of clinicians agreed that they were satisfied with their use of telemedicine at both time points. Respondents anticipated positive impact on equity and timeliness of care from telemedicine use but did not anticipate positive impact across child health, health care delivery, or clinician experience. Perceptions across these domains did not change over time. Conclusions: With one year of telemedicine experience, primary care clinicians maintained beliefs that telemedicine could deliver high-quality care for specific clinical needs but had worsening perceptions of usability over time.

Utilization, quality, and spending for pediatric Medicaid enrollees with primary care in health centers vs non-health centers

BACKGROUND

Limited research has explored the performance of health centers (HCs) compared to other primary care settings among children in the United States. We evaluated utilization, quality, and expenditures for pediatric Medicaid enrollees receiving care in HCs versus non-HCs.

METHODS

This national cross-sectional study utilized 2012 Medicaid Analytic eXtract (MAX) claims to examine children 0-17 years with a primary care visit, stratified by whether majority (> 50%) of primary care visits were at HCs or non-HCs. Outcome measures include utilization (primary care visits, non-primary care outpatient visits, prescription claims, Emergency Department (ED) visits, hospitalizations) and quality (well-child visits, avoidable ED visits, avoidable hospitalizations). For children enrolled in fee-for-service Medicaid, we also measured expenditures. Propensity score-based overlap weighting was used to balance covariates.

RESULTS

A total of 2,383,270 Medicaid-enrolled children received the majority of their primary care at HCs, while 18,540,743 did at non-HCs. In adjusted analyses, HC patients had 20% more primary care visits, 15% less non-primary care outpatient visits, and 21% less prescription claims than non-HC patients. ED visits were similar across the two groups, while HC patients had 7% lower chance of hospitalization than non-HC. Quality of care outcomes favored HC patients in main analyses, but results were less robust when excluding managed care beneficiaries. Total expenditures among the fee-for-service subpopulation were lower by $239 (8%) for HC patients.

CONCLUSIONS

In this study of nationwide claims data to evaluate healthcare utilization, quality, and spending among Medicaid-enrolled children who receive primary care at HCs versus non-HCs, findings suggest primary care delivery in HCs may be associated with a more cost-effective model of healthcare for children.

Disparities in Travel-Related Barriers to Accessing Health Care From the 2017 National Household Travel Survey

Importance

Geographic access, including mode of transportation, to health care facilities remains understudied.

Objective

To identify sociodemographic factors associated with public vs private transportation use to access health care and identify the respondent, trip, and community factors associated with longer distance and time traveled for health care visits.

Design, Setting, and Participants

This cross-sectional study used data from the 2017 National Household Travel Survey, including 16 760 trips or a nationally weighted estimate of 5 550 527 364 trips to seek care in the United States. Households that completed the recruitment and retrieval survey for all members aged 5 years and older were included. Data were analyzed between June and August 2022.

Exposures

Mode of transportation (private vs public transportation) used to seek care.

Main Outcomes and Measures

Survey-weighted multivariable logistic regression models were used to identify factors associated with public vs private transportation and self-reported distance and travel time. Then, for each income category, an interaction term of race and ethnicity with type of transportation was used to estimate the specific increase in travel burden associated with using public transportation compared a private vehicle for each race category.

Results

The sample included 12 092 households and 15 063 respondents (8500 respondents [56.4%] aged 51-75 years; 8930 [59.3%] females) who had trips for medical care, of whom 1028 respondents (6.9%) were Hispanic, 1164 respondents (7.8%) were non-Hispanic Black, and 11 957 respondents (79.7%) were non-Hispanic White. Factors associated with public transportation use included non-Hispanic Black race (compared with non-Hispanic White: adjusted odds ratio [aOR], 3.54 [95% CI, 1.90-6.61]; P < .001) and household income less than $25 000 (compared with ≥$100 000: aOR, 7.16 [95% CI, 3.50-14.68]; P < .001). The additional travel time associated with use of public transportation compared with private vehicle use varied by race and household income, with non-Hispanic Black respondents with income of $25 000 to $49 999 experiencing higher burden associated with public transportation (mean difference, 81.9 [95% CI, 48.5-115.3] minutes) than non-Hispanic White respondents with similar income (mean difference, 25.5 [95% CI, 17.5-33.5] minutes; P < .001).

Conclusions and Relevance

These findings suggest that certain racial, ethnic, and socioeconomically disadvantaged populations rely on public transportation to seek health care and that reducing delays associated with public transportation could improve care for these patients.

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.

Scheduled and attended pediatric primary care telemedicine appointments during COVID-19

BACKGROUND

The aim of this study was to examine pediatric primary care telemedicine visit scheduling and attendance during the first year of telemedicine.

METHODS

Using electronic health record data from two academic pediatric primary care practices between April 2020-March 2021, we used Pearson χ² tests and logistic regression models to identify child-, family-, and appointment-level characteristics associated with scheduled and attended telemedicine appointments.

RESULTS

Among 5178 primary care telemedicine appointments scheduled during the 12-month period, the proportion of appointments scheduled differed over time for children in families with a language preference other than English or Spanish (4% quarter 1 vs. 6% in quarter 4, p = 0.01) and residing in ZIP codes with the lowest household technology access (24% in quarter 1 vs. 19% in quarter 3 (p = 0.01). Four thousand one hundred and forty-eight of 5178 scheduled telemedicine appointments were attended. Likelihood of attending a telemedicine appointment was highest for children in families with a language preference other than English or Spanish (90%, 95% CI 86-94% compared to Spanish 74%, 95% CI 65-84%), and same-day appointments (86%, 95% CI 85-87%). Attendance among families preferring Spanish language was higher in later months compared to earlier months.

CONCLUSIONS

We found disparities in scheduling and attending telemedicine appointments, but signs of greater language equity over time.

Which patients miss appointments with general practice and the reasons why: a systematic review

Background

Missed GP appointments have considerable time and cost implications for healthcare services.

Aim

This systematic review aims to explore the rate of missed primary care appointments, what the reported reasons are for appointments being missed, and which patients are more likely to miss appointments.

Design and setting

This study reports the findings of a systematic review. The included studies report the rate or reasons of missed appointments in a primary care setting.

Method

Databases were searched using a pre-defined search strategy. Eligible studies were selected for inclusion based on detailed inclusion criteria through title, abstract, and full text screening. Quality was assessed on all included studies, and findings were synthesised to answer the research questions.

Results

A total of 26 studies met the inclusion criteria for the review. Of these, 19 reported a rate of missed appointments. The mean rate of missed appointments was 15.2%, with a median of 12.9%. Twelve studies reported a reason that appointments were missed, with work or family/childcare commitments, forgetting the appointment, and transportation difficulties most commonly reported. In all, 20 studies reported characteristics of people likely to miss appointments. Patients who were likely to miss appointments were those from minority ethnicity, low sociodemographic status, and younger patients (<21 years).

Conclusion

Findings from this review have potential implications for targeted interventions to address missed appointments in primary care. This is the first step for clinicians to be able to target interventions to reduce the rate of missed appointments.

Access to Care for Children under five in Oklahoma: a Geographic Imputation Application

OBJECTIVE

Geographic access to primary care can be a barrier to receiving appropriate preventative services. Oklahoma has been identified as having relatively few primary care providers per capita to care for its population compared to the US. The goal of this analysis was to identify the areas in Oklahoma with significant concentrations of children under five, no pediatrician within reasonable driving distance, and whether other primary care providers are present.

METHODS

The 2016 American Community Survey was used to estimate the total population of children under five years of age for each Census Block Group in Oklahoma. Access was defined as a thirty-minute drive time radius computed around each child's imputed location. The National Provider Identifier database was used to identify and locate pediatricians, family medicine physicians, and mid-level providers in Oklahoma. Areas of high concentrations of children with no pediatrician access were identified and non-pediatrician provider locations were superimposed.

RESULTS

Of the estimated 265,818 children under five in Oklahoma, approximately 7% were outside of a thirty-minute drive from a pediatrician. These children are concentrated in northwestern and southeastern Oklahoma, with several smaller additional groupings. There are multiple non-pediatrician primary care providers operating in many of these areas.

CONCLUSION

There are areas in the state where a paucity of pediatricians and high concentrations of young children lend themselves to collaborations using technology and education to improve the care of children.