Injury-related emergency department use among people with intellectual and developmental disabilities insured by Medicaid from 2010 to 2016.

OBJECTIVES: Data on non-fatal injuries and visits to the emergency department (ED) for injuries are not readily available. The objective of this paper is to describe injury-related ED visits for people with intellectual and developmental disabilities who are covered by the Medicaid insurance programme. METHODS: We aggregated 2010-2016 Medicaid claims data from eight states. Using these data, we identified individuals with intellectual and developmental disabilities and then determined an all-cause ED visit rate, ED visit due to injury rate and admission from ED due to injury rate. Data were stratified by sex and age group. Results were compared with national rates. RESULTS: Medicaid members with intellectual and developmental disabilities visited EDs at approximately 1.8 times the rate of the general population. The ED visit rate due to injury was approximately 1.5 times that observed in the population overall. When ED visits due to injury data were stratified by age and sex, the largest discrepancy was observed in women ages 45-64, who visited EDs due to injury at a rate 2.1 times that of women of the same age in the general population. The admission rate from ED due to injury increased over the study period most notably in the older age groups. CONCLUSIONS: While rates and patterns of ED utilisation among Medicaid members with intellectual and developmental disabilities vary by age and gender, our findings suggest this group visits the ED due to injury at rates well above the general population.

Racial and Ethnic Differences in Timing of Diagnosis and Clinical Services Received in Duchenne Muscular Dystrophy.

INTRODUCTION: Racial/ethnic differences in diagnostic and treatment services have been identified for a range of health conditions and outcomes. The current study aimed to analyze whether there are racial/ethnic differences in the timing of diagnostic testing and treatments for males with Duchenne muscular dystrophy (DMD). METHODS: Diagnostic and clinical data for male individuals with DMD born during 1990-2010 were analyzed from eight sites (Arizona, Colorado, Georgia, Iowa, Piedmont Region of North Carolina, Western New York, South Carolina, and Utah) of the Muscular Dystrophy Surveillance, Tracking, and Research Network (MD STARnet). Seven milestones related to diagnosis/treatment experiences were selected as outcomes. Times to each milestone were estimated and compared by four racial/ethnic groups using Kaplan-Meier estimation and Cox proportional-hazards models. Times between initial evaluation or diagnostic testing and later milestones were also compared by race/ethnicity. RESULTS: We identified 682 males with definite or probable DMD of whom 61.7% were non-Hispanic white, 20.5% Hispanic, 10.6% other, and 7.2% non-Hispanic black. Seven milestone events were studied (initial evaluation, first neurology/neuromuscular visit, diagnosis, corticosteroid treatment first offered, corticosteroid treatment started, first electrocardiogram or echocardiogram, and first pulmonary function test). The first five milestone events occurred at an older age for non-Hispanic black individuals compared to non-Hispanic white individuals. Time to first offering of corticosteroids and initiation of corticosteroid therapy was later for Hispanic individuals compared to non-Hispanic white individuals. When accounting for timing of initial evaluation/diagnosis, offering of corticosteroids continued to occur later, but first pulmonary testing occurred earlier, among Hispanic individuals compared to non-Hispanic whites. No significant delays remained for non-Hispanic black individuals after accounting for later initial evaluation/diagnosis. CONCLUSION: We described racial/ethnic differences in ages at selected diagnostic and treatment milestones. The most notable differences were significant delays for five of seven milestones in non-Hispanic black individuals, which appeared to be attributable to later initial evaluation/diagnosis. Findings for Hispanic individuals were less consistent. Efforts to address barriers to early evaluation and diagnosis for non-Hispanic black children with DMD may promote more timely initiation of recommended disease monitoring and interventions.

Temporal Association between Influenza Vaccination Coverage and Ambulatory Antibiotic Use in Children.

In this population-based retrospective cohort study, increased influenza vaccination coverage was temporally associated with a reduction in ambulatory antibiotic use in children. After adjustment for yearly vaccine effectiveness, antibiotic prescription rate declined by 3/1000 person-months for each 1% increase in influenza vaccination coverage between 2012 and 2017 in South Carolina (P < 0.001).

Health Service Utilization Patterns Among Medicaid-Insured Adults With Intellectual and Developmental Disabilities: Implications for Access Needs in Outpatient Community-Based Medical Services.

Limited existing evidence suggests that adults with intellectual and developmental disabilities (IDD) experience substantial disparities in numerous areas of health care, including quality ambulatory care. A multistate cohort of adults with IDD was analyzed for patterns of inpatient admissions and emergency department utilization. Utilization was higher (inpatient [RR = 3.2], emergency department visits [RR = 2.6]) for adults with IDD, particularly for ambulatory care-sensitive conditions (eg, urinary tract [RR = 6.6] and respiratory infections [RRs = 5.5-24.7]), and psychiatric conditions (RRs = 5.8-15). Findings underscore the importance of access to ambulatory care skilled in IDD-related needs to recognize and treat ambulatory care-sensitive conditions and to manage chronic medical and mental health conditions.

Disability, Hospital Care, and Cost: Utilization of Emergency and Inpatient Care by a Cohort of Children with Intellectual and Developmental Disabilities.

OBJECTIVE: To use medical claims data to determine patterns of healthcare utilization in children with intellectual and developmental disabilities, including frequency of service utilization, conditions that require hospital care, and costs. STUDY DESIGN: Medicaid administrative claims from 4 states (Iowa, Massachusetts, New York, and South Carolina) from years 2008-2013 were analyzed, including 108 789 children (75 417 male; 33 372 female) under age 18 years with intellectual and developmental disabilities. Diagnoses included cerebral palsy, autism, fetal alcohol syndrome, Down syndrome/trisomy/autosomal deletions, other genetic conditions, and intellectual disability. Utilization of emergency department (ED) and inpatient hospital services were analyzed for 2012. RESULTS: Children with intellectual and developmental disabilities used both inpatient and ED care at 1.8 times that of the general population. Epilepsy/convulsions was the most frequent reason for hospitalization at 20 times the relative risk of the general population. Other frequent diagnoses requiring hospitalization were mood disorders, pneumonia, paralysis, and asthma. Annual per capita expenses for hospitalization and ED care were 100% higher for children with intellectual and developmental disabilities, compared with the general population ($153 348 562 and $76 654 361, respectively). CONCLUSIONS: Children with intellectual and developmental disabilities utilize significantly more ED and inpatient care than other children, which results in higher annual costs. Recognizing chronic conditions that increase risk for hospital care can provide guidance for developing outpatient care strategies that anticipate common clinical problems in intellectual and developmental disabilities and ensure responsive management before hospital care is needed.

Clostridioides difficile infection and antibiotic prescription rates in the community: Explaining the gender gap.

In this cross-sectional population-based study, women had significantly higher crude incidence rates of both community-associated Clostridioides difficile infection (CA-CDI) and ambulatory antibiotic prescriptions compared to men in South Carolina in 2015. After adjustments for antibiotic prescription rates, there was no difference in the incidence rates of CA-CDI between the genders.

Temporal trends in ambulatory antibiotic prescription rates in South Carolina: Impact of age, gender, and resident location.

OBJECTIVE: To examine the temporal trends in ambulatory antibiotic prescription fill rates and to determine the influences of age, gender, and location. DESIGN: Population-based cohort study. SETTING: Ambulatory setting in South Carolina. PATIENTS: Patients ≤64 years of age from January 2012 to December 2017. METHODS: Aggregated pharmacy claims data for oral antibiotic prescriptions were utilized to estimate community antibiotic prescription rates. Poisson regression or Student t tests were used to examine overall temporal trend in antibiotic prescription rates, seasonal variation, and the trends across age group, gender, and rural versus urban location. RESULTS: Overall antibiotic prescription rates decrease from 1,127 to 897 per 1,000 person years (P < .001). The decrease was more noticeable in persons aged <18 years (26%) and 18-39 years (20%) than in those aged 40-64 years (5%; P < .001 for all). Prescription rates were higher among females than males in all age groups, although this finding was the most pronounced in group aged 18-39 years (1,232 vs 585 per 1,000 person years; P < .0001). Annualized antibiotic prescription rates were higher during the winter months (December-March) than the rest of the year (1,145 vs 885 per 1,000 person years; P < .0001), and rates were higher in rural areas than in urban areas (1,032 vs 941 per 1,000 person years; P < .0001). CONCLUSIONS: The decline in ambulatory antibiotic prescription rates is encouraging. Ongoing ambulatory antibiotic stewardship efforts across South Carolina should focus on older adults, rural areas, and during the winter season when antibiotic prescriptions peak.

Burden of community-associated Clostridioides difficile infection in southeastern United States: a population-based study.

OBJECTIVES: This cross-sectional population-based study aims to determine overall incidence rate of Clostridioides difficile infection (CDI) in the State of South Carolina and provide an estimated cost of hospitalization due to community-associated CDI (CA-CDI). METHODS: All CDI cases in South Carolina were identified through National Healthcare Safety Network (NHSN) and the South Carolina Infectious Disease and Outbreak Network (SCION) from January 1, 2015 to June 30, 2016, excluding infants < 1 year of age. RESULTS: During the 18-month study period, 10,254 CDI events were identified in South Carolina residents with an overall incidence rate of 139/100,000 person-years. Over one-half of CDI cases were CA-CDI (5192; 51%) with an incidence rate of 71/100,000 person-years. Among patients with CA-CDI, 2127 (41%) required hospitalization with a median length of stay of 5 days. The annual burden of CA-CDI in South Carolina was estimated to be 9282 hospital days and $16,217,295 in hospitalization costs. CONCLUSION: The incidence rate of CA-CDI in South Carolina has surpassed both community-onset healthcare facility associated and hospital-onset CDI combined. The heavy burden of CA-CDI justifies dedication of public health resources to combat CDI in ambulatory settings, through antimicrobial stewardship initiatives.

Anti-Hypertensive Medication Use and Factors Related to Adherence Among Adults With Intellectual and Developmental Disabilities.

Adults with intellectual and developmental disabilities (IDD) are known to experience significant health disparities; however, few studies have described anti-hypertensive medication adherence in this population. Using administrative data from South Carolina from 2000-2014, we evaluated the odds of adherence to anti-hypertensive medication among a cohort of adults with IDD and hypertension. Approximately half (49.5%) of the study cohort were adherent to anti-hypertensive medication. Those who lived in a supervised residence, had a Medicaid waiver, and had more frequent contact with a primary care provider were more likely to be adherent. Organizations that serve people with IDD have an opportunity to increase adherence by educating these individuals, their family members, and caregivers about the importance of adherence to anti-hypertensive medication.

Risk factors for falls among boys under 18 years with muscular dystrophy.

PURPOSE: Studies have shown that children with muscular dystrophy are at increased risk for falls, however there is insufficient information about what predicts the first and subsequent events. The purpose of this study was to describe the experience of injury with emphasis on identifying risk factors for fall-related injuries. METHODS: We studied 269 boys with muscular dystrophy describing their injury experience and identifying risk and protective factors associated with 281 non-simultaneous injuries and 127 falls that resulted in Emergency Department visits and/or inpatient hospitalization during the period 1998-2014. We used a Cox model to estimate the predictors of an initial fall and a zero-inflated Poisson model to identify the predictors for the number of falls. RESULTS: Falls accounted for the greatest number of injury occurrences; The most frequent injury type was contusion. The factors that were protective for falls were steroid use, wheelchair use, or having a heart condition. Baseline age was negatively associated with the risk of having any fall, but not significantly related to subsequent falls. CONCLUSION: Wheelchair use and heart conditions associated with reduced risk of falls likely reflects decreased mobility. Clinicians should help families identify factors associated with falls among those who remain ambulatory.

Seasonal variation in antimicrobial resistance rates of community-acquired Escherichia coli bloodstream isolates.

Seasonal variation in community antimicrobial consumption has been demonstrated, with the lowest utilisation rates during summer months. This retrospective cohort study examined seasonality in antimicrobial resistance (AMR) rates of community-acquired Escherichia coli bloodstream isolates. Escherichia coli bloodstream isolates (2010-2015) were identified through the central Palmetto Health microbiology laboratory database. Multivariate logistic regression was used to examine seasonal variation in AMR. Poisson regression was used to evaluate the association between proportion of multidrug-resistant (MDR) isolates and bimonthly ambulatory antimicrobial prescription rates. Among 339 unique patients with community-acquired E. coli bloodstream infection [median age 65 years; 205 (60.5%) female], AMR rates were lower during summer (June-September) than the rest of the year for amoxicillin/clavulanic acid (17% vs. 29%; aOR = 0.53, 95% CI 0.30-0.92; P = 0.02), cefazolin (6% vs. 19%; aOR = 0.26, 95% CI 0.10-0.58; P < 0.001), ceftriaxone (2% vs. 6%; aOR = 0.25, 95% CI 0.04-0.93; P = 0.04) and trimethoprim/sulfamethoxazole (9% vs. 27%; aOR = 0.27, 95% CI 0.13-0.53; P < 0.001). The proportion of MDR E. coli declined from 31-36% during peak antimicrobial prescription to 11-14% in summer months; a 6.8% decline per interval decrease in antimicrobial prescription rates of 10/100 person-years (P = 0.01). There is significant seasonal variation in AMR rates of E. coli bloodstream isolates to four agents from frequently utilised antimicrobial classes in the community. Examination of seasonal variation in dominant serotypes of community-acquired E. coli bloodstream isolates in future will be valuable.

The effect of steroid treatment on weight in nonambulatory males with Duchenne muscular dystrophy.

To describe the long-term effect of steroid treatment on weight in nonambulatory males with Duchenne Muscular Dystrophy (DMD), we identified 392 males age 7-29 years with 4,512 weights collected after ambulation loss (176 steroid-naïve and 216 treated with steroids ≥6 months) from the Muscular Dystrophy Surveillance, Tracking, and Research Network (MD STARnet). Comparisons were made between the weight growth curves for steroid-naïve males with DMD, steroid-treated males with DMD, and the US pediatric male population. Using linear mixed-effects models adjusted for race/ethnicity and birth year, we evaluated the association between weight-for-age and steroid treatment characteristics (age at initiation, dosing interval, cumulative duration, cumulative dose, type). The weight growth curves for steroid-naïve and steroid-treated nonambulatory males with DMD were wider than the US pediatric male growth curves. Mean weight-for-age z scores were lower in both steroid-naïve (mean = -1.3) and steroid-treated (mean = -0.02) nonambulatory males with DMD, compared to the US pediatric male population. Longer treatment duration and greater cumulative dose were significantly associated with lower mean weight-for-age z scores. Providers should consider the effect of steroid treatment on weight when making postambulation treatment decisions for males with DMD.

Using Medicaid Data to Characterize Persons With Intellectual and Developmental Disabilities in Five U.S. States.

This project sought to identify Medicaid members with intellectual and developmental disabilities (IDD) in five states (Delaware, Iowa, Massachusetts, New York, and South Carolina) to develop a cohort for subsequent analyses of medical conditions and service utilization. We estimated that over 300,000 Medicaid members in these states had IDD. All members with diagnostic codes for IDD were identified and the three most frequent diagnoses were unspecified intellectual disability, autism or pervasive developmental disorder, and cerebral palsy. The percentage of Medicaid members with IDD ranged from 2.3% in New York to 4.2% in South Carolina. Identifying and characterizing people with IDD is a first step that could guide public health promotion efforts for this population.

Capture-recapture methodology to study rare conditions using surveillance data for fragile X syndrome and muscular dystrophy.

BACKGROUND: Rare conditions can be catastrophic for families and the implications for public health can be substantial. Our study compared basic surveillance through active medical record review with a linked administrative data file to assess the number of cases of two rare conditions, fragile X syndrome (FXS) and muscular dystrophy (MD) in a population. METHODS: Two methods of data collection were used to collect information from five counties comprising two standard metropolitan statistical areas of South Carolina. The passive system relied mostly on health claims data using ICD-9 CM diagnostic codes. The active system relied on a nurse abstracting records from a list of all licensed physicians with specialties in neurology, orthopedics, and genetics. RESULTS: There were 141 FXS cases and 348 MD cases that met the case definitions using active surveillance. Additional cases were found for both conditions but they were determined to not be true cases. After linking the actively collected MD and FXS cases to passive datasets, we found that the estimated total numbers of cases were similar to using capture-recapture analysis; the positive predictive values for cases identified in the passive system were 56.6% for MD and 75.7% for FXS. CONCLUSIONS: Applying capture-recapture methods to passively collected surveillance data for rare health conditions produced an estimate of the number of true cases that was similar to that obtained through active data collection.

Fourth-grade children's dietary reporting accuracy by meal component: Results from a validation study that manipulated retention interval and prompts.

We examined reporting accuracy by meal component (beverage, bread, breakfast meat, combination entrée, condiment, dessert, entrée, fruit, vegetable) with validation-study data on 455 fourth-grade children (mean age = 9.92 ± 0.41 years) observed eating school meals and randomized to one of eight dietary recall conditions (two retention intervals [short, long] crossed with four prompts [forward, meal-name, open, reverse]). Accuracy category (match [observed and reported], omission [observed but unreported], intrusion [unobserved but reported]) was a polytomous nominal item response variable. We fit a multilevel cumulative logit model with item variables meal component and serving period (breakfast, lunch) and child variables retention interval, prompt and sex. Significant accuracy category predictors were meal component (p < 0.0003), retention interval (p < 0.0003), meal-component × serving-period (p < 0.0003) and meal-component × retention-interval (p = 0.001). The relationship of meal component and accuracy category was much stronger for lunch than breakfast. For lunch, beverages were matches more often, omissions much less often and intrusions more often than expected under independence; fruits and desserts were omissions more often. For the meal-component × retention-interval interaction, for the short retention interval, beverages were intrusions much more often but combination entrées and condiments were intrusions less often; for the long retention interval, beverages were matches more often and omissions less often but fruits were matches less often. Accuracy for each meal component appeared better with the short than long retention interval. For lunch and for the short retention interval, children's reporting was most accurate for entrée and combination entrée meal components, whereas it was least accurate for vegetable and fruit meal components. Results have implications for conclusions of studies and interventions assessed with dietary recalls obtained from children.

Using Administrative Data to Ascertain True Cases of Muscular Dystrophy: Rare Disease Surveillance.

BACKGROUND: Administrative records from insurance and hospital discharge data sources are important public health tools to conduct passive surveillance of disease in populations. Identifying rare but catastrophic conditions is a challenge since approaches for maximizing valid case detection are not firmly established. OBJECTIVE: The purpose of our study was to explore a number of algorithms in which International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes and other administrative variables could be used to identify cases of muscular dystrophy (MD). METHODS: We used active surveillance to identify possible cases of MD in medical practices in neurology, genetics, and orthopedics in 5 urban South Carolina counties and to identify the cases that had diagnostic support (ie, true cases). We then developed an algorithm to identify cases based on a combination of ICD-9-CM codes and administrative variables from a public (Medicaid) and private insurer claims-based system and a statewide hospital discharge dataset (passive surveillance). Cases of all types of MD and those with Duchenne or Becker MD (DBMD) that were common to both surveillance systems were examined to identify the most specific administrative variables for ascertainment of true cases. RESULTS: Passive statewide surveillance identified 3235 possible cases with MD in the state, and active surveillance identified 2057 possible cases in 5 actively surveilled counties that included 2 large metropolitan areas where many people seek medical care. There were 537 common cases found in both the active and passive systems, and 260 (48.4%) were confirmed by active surveillance to be true cases. Of the 260 confirmed cases, 70 (26.9%) were recorded as DBMD. CONCLUSIONS: Accuracy of finding a true case in a passive surveillance system was improved substantially when specific diagnosis codes, number of times a code was used, age of the patient, and specialty provider variables were used.

Fourth-Grade Children's Reporting Accuracy for Amounts Eaten at School-Provided Meals: Insight from a Reporting-Error-Sensitive Analytic Approach Applied to Validation Study Data.

BACKGROUND: Validation studies that have directly assessed reporting accuracy for amounts eaten have provided results in various ways. OBJECTIVE: To analyze amount categories of a reporting-error-sensitive approach for insight concerning reporting accuracy for amounts eaten. DESIGN: For a cross-sectional validation study, children were observed eating school-provided breakfast and lunch, and randomized to one of eight 24-hour recall conditions (two retention intervals [short and long] crossed with four prompts [forward, meal name, open, and reverse]). PARTICIPANTS/SETTING: Data collected during 3 school years (2011-2012 to 2013-2014) on 455 children from 10 schools (four districts) in a southern US state. MAIN OUTCOME MEASURES: Items were classified as matches (observed and reported), omissions (observed but unreported), or intrusions (unobserved but reported). Within amount categories (matches [corresponding, overreported, and underreported], intrusions [overreported], and omissions [underreported]), item amounts were converted to kilocalories. STATISTICAL ANALYSES PERFORMED: A multilevel model was fit with food-level explanatory variables (amount category and meal) and child-level explanatory variables (retention interval, prompt, sex, and race/ethnicity). To investigate inaccuracy differences, t tests on three contrasts were performed. RESULTS: Inaccuracy differed by amount category (P<0.001; in order from largest to smallest: omission, intrusion, underreported match, and overreported match), meal (P=0.01; larger for breakfast), retention interval (P=0.003; larger for long), sex (P=0.004; larger for boys), race/ethnicity (P=0.045; largest for non-Hispanic whites), and amount category×meal interaction (P=0.046). Overreported amounts were larger for intrusions than overreported matches (P<0.0001). Underreported amounts were larger for omissions than underreported matches (P<0.0001). Overall underreported amounts (from omissions and underreported matches) exceeded overall overreported amounts (from intrusions and overreported matches) (P<0.003). CONCLUSIONS: Amount categories provide a standard way to analyze validation study data on reporting accuracy for amounts eaten, and compare results across studies. Multilevel analytic models reflecting the data structure are recommended for inference. To enhance reporting accuracy for amounts eaten, focus on increasing reports of correct items, thereby yielding more matches with fewer intrusions and omissions.

Testing the Feasibility of a Passive and Active Case Ascertainment System for Multiple Rare Conditions Simultaneously: The Experience in Three US States.

BACKGROUND: Owing to their low prevalence, single rare conditions are difficult to monitor through current state passive and active case ascertainment systems. However, such monitoring is important because, as a group, rare conditions have great impact on the health of affected individuals and the well-being of their caregivers. A viable approach could be to conduct passive and active case ascertainment of several rare conditions simultaneously. This is a report about the feasibility of such an approach. OBJECTIVE: To test the feasibility of a case ascertainment system with passive and active components aimed at monitoring 3 rare conditions simultaneously in 3 states of the United States (Colorado, Kansas, and South Carolina). The 3 conditions are spina bifida, muscular dystrophy, and fragile X syndrome. METHODS: Teams from each state evaluated the possibility of using current or modified versions of their local passive and active case ascertainment systems and datasets to monitor the 3 conditions. Together, these teams established the case definitions and selected the variables and the abstraction tools for the active case ascertainment approach. After testing the ability of their local passive and active case ascertainment system to capture all 3 conditions, the next steps were to report the number of cases detected actively and passively for each condition, to list the local barriers against the combined passive and active case ascertainment system, and to describe the experiences in trying to overcome these barriers. RESULTS: During the test period, the team from South Carolina was able to collect data on all 3 conditions simultaneously for all ages. The Colorado team was also able to collect data on all 3 conditions but, because of age restrictions in its passive and active case ascertainment system, it was able to report few cases of fragile X syndrome. The team from Kansas was able to collect data only on spina bifida. For all states, the implementation of an active component of the ascertainment system was problematic. The passive component appears viable with minor modifications. CONCLUSIONS: Despite evident barriers, the joint passive and active case ascertainment of rare disorders using modified existing surveillance systems and datasets seems feasible, especially for systems that rely on passive case ascertainment.

Children's school-breakfast reports and school-lunch reports (in 24-h dietary recalls): conventional and reporting-error-sensitive measures show inconsistent accuracy results for retention interval and breakfast location.

Validation-study data were analysed to investigate retention interval (RI) and prompt effects on the accuracy of fourth-grade children's reports of school-breakfast and school-lunch (in 24-h recalls), and the accuracy of school-breakfast reports by breakfast location (classroom; cafeteria). Randomly selected fourth-grade children at ten schools in four districts were observed eating school-provided breakfast and lunch, and were interviewed under one of eight conditions created by crossing two RIs ('short'--prior-24-hour recall obtained in the afternoon and 'long'--previous-day recall obtained in the morning) with four prompts ('forward'--distant to recent, 'meal name'--breakfast, etc., 'open'--no instructions, and 'reverse'--recent to distant). Each condition had sixty children (half were girls). Of 480 children, 355 and 409 reported meals satisfying criteria for reports of school-breakfast and school-lunch, respectively. For breakfast and lunch separately, a conventional measure--report rate--and reporting-error-sensitive measures--correspondence rate and inflation ratio--were calculated for energy per meal-reporting child. Correspondence rate and inflation ratio--but not report rate--showed better accuracy for school-breakfast and school-lunch reports with the short RI than with the long RI; this pattern was not found for some prompts for each sex. Correspondence rate and inflation ratio showed better school-breakfast report accuracy for the classroom than for cafeteria location for each prompt, but report rate showed the opposite. For each RI, correspondence rate and inflation ratio showed better accuracy for lunch than for breakfast, but report rate showed the opposite. When choosing RI and prompts for recalls, researchers and practitioners should select a short RI to maximise accuracy. Recommendations for prompt selections are less clear. As report rates distort validation-study accuracy conclusions, reporting-error-sensitive measures are recommended.