Patterns of substance use among adolescents in and out of foster care: An analysis of linked health and child welfare administrative data.

BACKGROUND: Young adults with a history of foster care have higher risk for substance use disorders. Social systems can deliver substance use prevention to youth; however, the timing of intervention delivery and how needs differ for youth in foster care are unclear. OBJECTIVE: To compare initiation and rates of substance use among adolescents in foster care to demographically similar adolescents never in foster care as identified by the healthcare system, and identify factors associated with increased substance use. PARTICIPANTS AND SETTING: Youth in foster care (n = 2787, ages 10-20, inclusive) and demographically matched youth never in foster care (n = 2787) were identified using linked child welfare and electronic health records from a single pediatric children's hospital and county over a five-year period (2012-2017). METHODS: All healthcare encounters were reviewed and coded for substance use by type (alcohol, tobacco, cannabis, other). Age of first reported or documented substance use was also captured. Demographic and child welfare information was extracted from administrative records. Survival and logistic regression models were estimated. RESULTS: In adjusted models, youth in foster care initiated substance use at earlier ages (HR = 2.50, p < .01) and had higher odds of engaging in use (AOR = 1.54; p < .01) than youth never in care. By age 12, substance use initiation was more likely while youth were in foster care than when they were not in foster care (HR = 1.42, p < .01). Placement stability and family care settings reduced odds of lifetime substance use. CONCLUSIONS: Foster care placement is associated with substance use. Screening may be important for prevention.

Mental Health Diagnoses, Health Care Utilization, and Placement Stability on Antipsychotic Prescribing Among Foster Care Youth.

OBJECTIVE: This study sought to examine how mental health diagnoses, health care utilization and foster care placement instability affect antipsychotic prescribing and how these factors may contribute to disproportionate antipsychotic prescribing among youth in foster care. METHODS: This retrospective cohort study utilized EHR data that were linked to administrative child welfare data. Two outcome variables were analyzed: 1) any antipsychotic prescription documented and 2) number of antipsychotic prescriptions documented. Predictor variables included foster care status, number of unique mental health diagnoses, counts of health care encounters over the study period, and counts of foster care placements. Covariates included gender, persons of color, and age in years. Models were estimated using logistic regression for the dichotomous outcome and Poisson regression for the count outcome. RESULTS: Increased antipsychotic prescribing among children in foster care persists even after accounting for mental health diagnoses and health care utilization. However, the number of placements modified the effect of foster care involvement on antipsychotic prescribing such that after 2 placement changes, the odds of being prescribed an antipsychotic surpassed the effect of foster care involvement. More mental health diagnoses, more inpatient and emergency health care encounters, and more foster care placements were associated with an increased odds of being prescribed an antipsychotic and an increased count of antipsychotic prescriptions. Decreased primary care encounters were associated with increased odds of antipsychotic prescriptions, and decreased specialty encounters were associated with higher counts of antipsychotic prescriptions. CONCLUSIONS: Placement instability is associated with disproportionate antipsychotic prescribing among youth in foster care.

Careful: An administrative child welfare and electronic health records linked dataset.

Between 2012 and 2017, N = 2814 youth between the ages of 4 and 20 were in child protective services (CPS) custody in Hamilton County, Ohio, and placed in out-of-home care. Child welfare administrative records were extracted and linked to electronic health records for all encounters at Cincinnati Children's Hospital Medical Center, with n = 2787 (99.1%) of records successfully linked prior to de-identifying the data for research purposes. Child welfare administrative data fields in the dataset include demographics, dates of entry into and exit from protective custody and out-of-home care, reasons for entry into custody, dates of placement changes, reasons for placement changes, and types of placement (e.g., foster home, kinship home, group home, residential treatment, independent living). Electronic health records (EHR) data fields include demographics, all inpatient and outpatient encounters with medications, diagnoses, screening results, laboratory test results, flowsheet data, and problem list entries. Data have been coded to capture broader categories of health needs and encounter details, medications, and other health concerns. Due to the high representation of children in CPS custody and out-of-home care who are also represented in the EHR data, this dataset provides a comprehensive view of the medical needs and health concerns for school-aged children in CPS custody in an entire county. As a result, these data can be useful for understanding the emergence of global and specific health concerns, frequency of healthcare use, and placement stability for all youth in CPS custody in this community, accounting for variation due to other health and child welfare factors. These data are likely generalizable to other mid-sized urban communities where academic medical centers provide healthcare for children in CPS custody. De-identified data may be made available to other researchers with approved data transfer agreements between academic institutions in place.

Enrollment and outcomes of home visiting for mothers with and without a history of out-of-home care.

Women previously in out-of-home care (i.e., foster care) experience poorer health and psychosocial outcomes compared to peers, including higher pregnancy rates and child protective services involvement. Home visiting programs could mitigate risks. Studies examining home visiting enrollment for women with a history of out-of-home care are needed. Women previously in out-of-home care based on child welfare administrative data between 2012 and 2017 (n = 1375) were compared to a demographically matched sample (n = 1375) never in out-of-home care. Vital records data identified live births in the two groups. For those who had given live birth (n = 372), linked administrative data were used to determine and compare rates of referral and enrollment into home visiting, and two indicators of engagement: number of days enrolled, and number of visits received. Women previously in out-of-home care were referred for home visiting more often than their peers. There were no differences in rates of enrollment. Women previously in out-of-home care remained enrolled for shorter durations and completed fewer home visits than peers. Findings suggest barriers to home visiting enrollment and retention in home visiting programs for women previously in out-of-home care. Studies with larger samples and more complete assessments of outcomes are warranted.

Introducción: Las mujeres que previamente han estado bajo cuidado fuera de cada (v.g. hogares de cuidado adoptivo temporal) experimentan una más débil salud y resultados sicosociales en comparación con las compañeras, incluyendo tasas más altas de embarazos y participación en servicios de protección a la niñez. Los programas de visitas a casa pudieran mitigar los riesgos. Se necesitan estudios que examinen la entrada en programas de visitas a casa de mujeres con un historial de cuidado fuera de casa. Métodos: Se comparó la información administrativa entre 2012 y 2017 de mujeres (n = 1375) que previamente estuvieron en cuidados fuera de casa basados en la beneficencia infantil con un grupo muestra demográficamente emparejado (n = 1375) que nunca habían estado bajo cuidado fuera de casa. Los datos vitales registrados identificaron nacimientos vivos en los dos grupos. Para quienes habían tenido un parto y nacimiento vivo (n = 372), se usó la información administrativa conectada para determinar y comparar las tasas de referencia y entrada en programas de visitas a casa, y dos indicadores de participación: el número de días en que estuvieron matriculadas y el número de visitas recibidas. Resultados: A las mujeres previamente bajo cuidado fuera de casa se les refirió a los programas de visita a casa más a menudo que a sus compañeras. No se dieron diferencias en las tasas de matrícula. Las mujeres previamente bajo cuidado fuera de casa permanecieron matriculadas por duraciones más cortas y completaron menos visitas a casa que sus compañeras. Conclusiones: Los resultados identifican barreras a la matrícula y retención en programas de visitas a casa para mujeres previamente bajo cuidado fuera de casa. Se justifican los estudios con grupos muestras más grandes y evaluaciones más completas de los resultados.

Les femmes ayant été placées en famille ou foyer d'accueil font l'expérience d'une plus mauvaise santé et de résultats psychologiques moins bons que les autres femmes, y compris des taux de grossesse plus élevés et l'intervention de services de protection de l'enfance. Les programmes de visite à domicile peuvent mitiger les risques. Les études examinant l'inscription aux visites à domicile pour les femmes ayant un passé de placement en famille ou en foyer sont nécessaires. Méthodes: des femmes ayant vécu un placement en famille ou en foyer selon les données administratives de la protection de l'enfance entre 2012 et 2017 (n = 1375) ont été comparées à un échantillon assorti démographiquement (n = 1375) de femmes n'ayant jamais été placées en famille ou foyer d'accueil. Nous avons identifié des naissances vivantes chez les deux groupes. Pour celles ayant donné naissance (naissance vivante) (n = 372) les données administratives liées ont été utilisées afin de déterminer et de comparer les taux d'orientation et d'inscription aux visites à domicile, et deux indicateurs d'engagement: le nombre de jours inscrites et le nombre de visites reçues. Résultats: les femmes ayant été placées dans des familles ou des foyers d'accueil étaient dirigées vers les visites à domicile plus souvent que leurs pairs. Il n'y avait aucune différence dans les taux d'inscription. Les femmes ayant été en familles ou foyers d'accueil sont restées inscrites pendant des durées plus courtes et ont eu moins de visites à domiciles que leurs pairs. Conclusions: les résultats suggèrent qu'il existe des barrières à l'inscription aux visites à domicile et à la rétention dans les programmes de visites à domicile pour les femmes ayant été placées en famille ou en foyer. Des études avec des échantillons plus grands et des évaluations plus compètes sont justifiées.

Understanding the impact of COVID-19 on stress and Access to Services for Licensed and Kinship Caregivers and Youth in Foster Care.

Children in foster care in the United States face unique challenges related to access to health and education services. With the COVID-19 pandemic, many of those services were temporarily disrupted, adding burden to an already strained system. This observational study describes the experiences of licensed and kinship caregivers (N = 186) during the peak of COVID-19 stay-at-home orders and as restrictions to services were lifted, to understand the overall impact of COVID-19 on this already vulnerable population. Purposive sampling methods were used, where caregivers known to have received placement of children prior to, during, and following COVID-19 stay-at-home orders were identified and recruited to complete a 45-minute phone-administered survey assessing stress, risks for contracting COVID-19, strain resulting from COVID-19, and access to services for children in foster care in their care across five domains: healthcare, mental health, education, child welfare, and family visitation. Differences by caregiver type (licensed, kinship) and timing in the pandemic were examined. Licensed and kinship caregivers reported similar social and economic impacts of COVID-19, including similar rates of distress for themselves and the youth placed with them. Almost half of caregivers experienced challenges accessing mental health services, with access to services more disrupted during COVID-19 stay-at-home orders. Caregiver reports regarding the social and economic impacts of COVID-19 were similar across the study, suggesting that lessened restrictions have not alleviated strain for this population.

Impact of Automated Information Sharing on Health Care Delivery to Youths in Foster Care.

Children in foster care have higher health care costs and poor care coordination, often due to inconsistent information exchanged between health care and child welfare systems. This study implemented secure automated information sharing and detected improvements in time spent gathering information, health care services delivered, and billing practices at participating health care systems.

Patterns of healthcare utilization with placement changes for youth in foster care.

BACKGROUND: Children in foster care experience poor health and high healthcare use. Child welfare agencies frequently require healthcare visits when children enter foster care; subsequent placement changes also disrupt healthcare. Studies of healthcare use have not accounted for placement changes. OBJECTIVE: To understand patterns of healthcare use throughout the time a child enters foster care and with placement changes, accounting for mandated visits when children enter foster care or experience a placement change. PARTICIPANTS AND SETTING: Children 4 and older in foster care between 2012 and 2017 (N = 2787) with linked child welfare administrative data from one county child welfare agency and one Midwest pediatric healthcare system. METHODS: Negative binomial models predicted healthcare days per month that were planned (e.g., scheduled primary/specialty care), unplanned (e.g., emergency care), or missed. RESULTS: Planned healthcare days increased as a function of placement changes (Incident Rate Ratio [IRR] =1.69, p < .05) and decreased with placement stability (IRR = 0.92, p < .01). Mandated visits that occurred later in a placement were associated with fewer planned (IRR = 0.81, p < .01) and unplanned (IRR = 0.82, p < .01) healthcare days during that placement. CONCLUSIONS: Patterns of planned healthcare over the time children are in one placement and move between placements suggest more can be done to ensure youth remain connected to primary and specialty care throughout placements and placement transitions, s that children are seen as clinically appropriate rather than a function of placement disruption. Findings regarding the timing of mandated visits suggest that delays in mandated care may also reflect lower healthcare use overall.

Effects of Child Protective Custody Status and Health Risk Behaviors on Health Care Use Among Adolescents.

OBJECTIVE: To determine whether current protective custody status (ie, youth currently in the temporary or permanent custody of child protective services, eg, foster and kinship care) contributes to increased health care utilization compared to youth never in protective custody. Health characteristics (eg, mental health diagnoses) and behaviors (eg, substance use) were expected to account for differences in health care use among the two groups. METHODS: Retrospective child welfare administrative data and linked electronic health records data were collected from a county's child welfare system and affiliated freestanding children's hospital between 2012 and 2017. Youth currently in protective custody (n = 2787) were identified and demographically matched to peers never in custody (n = 2787) who received health care from the same children's hospital. Health care use, health risk behaviors, and social, demographic, and diagnostic data were extracted and compared for both cohorts. RESULTS: In baseline models, health care use was higher for youth in protective custody compared to peers. In adjusted models that included health risk behaviors and patient characteristics, protective custody status was associated with decreased primary and missed care, and no longer a significant predictor of other types of health care use. CONCLUSIONS: Youth had significantly higher utilization while in protective custody than their demographically similar peers; however, health risk behaviors appear to account for most group differences. Identification of current custody status in pediatric settings and addressing health risk behaviors in this population may be important for health care systems interested in altering health care use and/or cost for this population.

Modeling changes in adolescent health risk behaviors approaching and just after the time of emancipation from foster care.

BACKGROUND: Emancipated foster youth frequently engage in behaviors that contribute to poor health. Whether health risk behaviors increase following emancipation or are established while in foster care remains unclear. OBJECTIVE: This secondary data analysis examined substance use and attitudes toward sexual risk behaviors to understand continuity in risk behaviors among foster youth before emancipation and following emancipation. PARTICIPANTS AND SETTING: Youth ages 16-20 (N = 151) who had been in foster care for at least 12 months and were expected to emancipate were recruited. The urban county where the study was conducted allowed youth to remain in foster care until 21 years of age. METHODS: Participants completed surveys assessing substance use and attitudes toward sexual risk behaviors at baseline, 6 and 12 months. Multilevel models estimated trajectories of health behaviors and attitudes, with emancipation timing as the primary predictor. Individual and child welfare characteristics were included as covariates. RESULTS: Substance use did not change with emancipation (Bs = 0.01, p = 0.81) and positive attitudes about risky sexual behavior significantly decreased as youth approached emancipation (Bs = 1.67, p < 0.01). Placement instability and adversity were not associated with either outcome (ps > 0.08). Females reported more positive attitudes about higher-risk sexual behavior than males (B = 3.09, p < 0.01) and less substance use (B = -1.15, p = 0.03). CONCLUSIONS: Substance use and attitudes about sexual risk behaviors are established before emancipation; interventions prior to emancipation are necessary to improve health outcomes.

Automated detection of substance use information from electronic health records for a pediatric population.

OBJECTIVE: Substance use screening in adolescence is unstandardized and often documented in clinical notes, rather than in structured electronic health records (EHRs). The objective of this study was to integrate logic rules with state-of-the-art natural language processing (NLP) and machine learning technologies to detect substance use information from both structured and unstructured EHR data. MATERIALS AND METHODS: Pediatric patients (10-20 years of age) with any encounter between July 1, 2012, and October 31, 2017, were included (n = 3890 patients; 19 478 encounters). EHR data were extracted at each encounter, manually reviewed for substance use (alcohol, tobacco, marijuana, opiate, any use), and coded as lifetime use, current use, or family use. Logic rules mapped structured EHR indicators to screening results. A knowledge-based NLP system and a deep learning model detected substance use information from unstructured clinical narratives. System performance was evaluated using positive predictive value, sensitivity, negative predictive value, specificity, and area under the receiver-operating characteristic curve (AUC). RESULTS: The dataset included 17 235 structured indicators and 27 141 clinical narratives. Manual review of clinical narratives captured 94.0% of positive screening results, while structured EHR data captured 22.0%. Logic rules detected screening results from structured data with 1.0 and 0.99 for sensitivity and specificity, respectively. The knowledge-based system detected substance use information from clinical narratives with 0.86, 0.79, and 0.88 for AUC, sensitivity, and specificity, respectively. The deep learning model further improved detection capacity, achieving 0.88, 0.81, and 0.85 for AUC, sensitivity, and specificity, respectively. Finally, integrating predictions from structured and unstructured data achieved high detection capacity across all cases (0.96, 0.85, and 0.87 for AUC, sensitivity, and specificity, respectively). CONCLUSIONS: It is feasible to detect substance use screening and results among pediatric patients using logic rules, NLP, and machine learning technologies.

Developmental Service Referrals and Utilization Among Young Children in Protective Custody.

Children in foster care are at high risk for developmental delay. In this retrospective cohort study of young children presenting to a foster care clinic, 77% were not receiving developmental services and 75% failed developmental screening. Of those potentially eligible, 60% were not referred for developmental services.

Young Adults With Type 1 Diabetes Preparing to Transition to Adult Care: Psychosocial Functioning and Associations With Self-Management and Health Outcomes.

BACKGROUND | Young adulthood is a vulnerable developmental period associated with increased risk for suboptimal health outcomes in youth with type 1 diabetes. Psychosocial factors have been associated with self-management and glycemic control in younger populations, but the extent to which these associations exist among young adults is poorly understood. This study aimed to examine the psychosocial functioning of young adults with type 1 diabetes and associated clinical outcomes. METHODS | Participants included young adults (n = 44) between the ages of 18 and 23 years in a pediatric setting who were preparing to transition to adult care. All participants completed self-report measures of psychosocial functioning at baseline as part of this longitudinal observational study. Outcome data included glycemic control, frequency of blood glucose monitoring, and self-management ratings at baseline and 1-year follow-up. RESULTS | Young adults with type 1 diabetes reported higher levels of depressive symptoms, lower self-efficacy, and more risk behaviors compared with previously published scores for adolescents. Young adults also reported greater resilience and transition readiness than their younger counterparts. Psychosocial variables were differentially related to glycemic control and frequency of blood glucose monitoring both cross-sectionally and longitudinally. CONCLUSION | This study provides key information about the psychosocial functioning of young adults with type 1 diabetes. It identifies relevant psychosocial factors that are associated with meaningful health outcomes during the transition preparation period. These findings may inform the development of clinical programs aimed at promoting transition preparation and health outcomes in young adults with type 1 diabetes.

The Impact of Health Care Education on Utilization Among Adolescents Preparing for Emancipation From Foster Care.

PURPOSE: As teens in foster care prepare for emancipation, health care navigation is often overlooked, as caseworkers address other social needs. This study examined the impact of health care education materials designed for foster youth, called ICare2CHECK. It was hypothesized that ICare2CHECK would increase nonurgent ambulatory health care use and decrease emergency/urgent care use. METHODS: Adolescents (N = 151; aged 16-22 years) were enrolled in ICare2CHECK and received health education materials at their baseline study visit. Surveys were repeated every 3 months to assess health care utilization. After 12 months of enrollment, health care data for all eligible youth and matched comparison youth (N = 151) over the previous 24 months were extracted from the electronic health record (N = 302). Electronic health record data were coded as counts of completed nonurgent ambulatory care encounters (i.e., primary and preventative care and specialty care), completed urgent or emergency encounters (i.e., urgent and emergency department visits and hospitalizations), completed foster care clinic visits, and total completed visits. RESULTS: Health care use significantly decreased over time for both enrolled and comparison youth. Females, youth engaging in health risk behaviors, and those with a mental health or chronic condition diagnosis used significantly more health care. Receipt of educational materials was associated with a smaller decline in health care use and nonurgent ambulatory care use, controlling for covariates. Self-reported use of educational materials was associated with increased utilization in the enrolled condition. CONCLUSIONS: Results suggest that ICare2CHECK is associated with increased engagement in health care generally and nonurgent ambulatory care specifically (e.g., outpatient primary and specialty care).

The Role of Shared Decision-Making in Shaping Intent to Access Services for Adolescents in Protective Custody.

Including children in protective custody (e.g., foster care) in legal decisions positively impacts their perceptions of the legal system, with giving youth a voice being particularly important. Studies have primarily focused on including young people in legal processes; however, for adolescents in protective custody, decisions about living arrangements, education, and long-term planning are made outside the courtroom, with ramifications for young people and their perceptions of both legal and child protection systems. This study looks at such decision making using existing data from 151 adolescents who were ages 16-20 and had been in child welfare protective custody for at least 12 months. During in-person interviews we assessed their desired amount of involvement in a recent decision and their perceptions of their actual involvement. Youth named other individuals involved in decision-making. Data were coded and analysed to identify discrepancies in young people's perceptions of desired and actual levels of involvement. Results indicate that while the majority of adolescents (96%) are participating in decision-making, they generally desire more involvement in decisions made (64%). Only 7% of youth reported that their level of personal involvement and the involvement of others matched what they desired. The most common individuals identified in a decision made were child protection workers, legal professionals, and caregivers or family members. These findings enhance the existing literature by highlighting the unique issues related to giving young people in protective custody a voice, and provide an empirical foundation for guiding policies around who to involve in every-day decisions made for young people preparing for emancipation from protective custody.

Understanding Health Risks for Adolescents in Protective Custody.

Children in child welfare protective custody (e.g., foster care) are known to have increased health concerns compared to children not in protective custody. The poor health documented for children in protective custody persists well into adulthood; young adults who emancipate from protective custody report poorer health, lower quality of life, and increased health risk behaviors compared to young adults in the general population. This includes increased mental health concerns, substance use, sexually transmitted infections, unintended pregnancy, and HIV diagnosis. Identifying youth in protective custody with mental health concerns, chronic medical conditions, and increased health risk behaviors while they remain in custody would provide the opportunity to target prevention and intervention efforts to curtail poor health outcomes while youth are still connected to health and social services. This study leveraged linked electronic health records and child welfare administrative records for 351 youth ages 15 and older to identify young people in custody who were experiencing mental health conditions, chronic medical conditions, and health risk behaviors (e.g., substance use, sexual risk). Results indicate that 41.6% of youth have a mental health diagnosis, with depression and behavior disorders most common. Additionally, 41.3% of youth experience chronic medical conditions, primarily allergies, obesity, and vision and hearing concerns. Finally, 39.6% of youth use substances and 37.0% engage in risky sexual behaviors. Predictors of health risks were examined. Those findings indicate that women, those with longer lengths of stay and more times in custody, and those in independent living and congregate care settings are at greatest risk for mental health conditions, chronic medical conditions, and health risk behaviors. Results suggest a need to ensure that youth remain connected to health and mental health safety nets, with particular attention needed for adolescents in care for longer and/or those placed in non-family style settings. Understanding who is at risk is critical for developing interventions and policies to target youth who are most vulnerable for increased health concerns that can be implemented while they are in custody and are available to receive services.

Laboratory Screening for Children Entering Foster Care.

OBJECTIVES: To determine the prevalence of medical illness detected by laboratory screening in children entering foster care in a single, urban county. METHODS: All children entering foster care in a single county in Ohio were seen at a consultation foster care clinic and had laboratory screening, including testing for infectious diseases such as HIV, hepatitis B, hepatitis C, syphilis, and tuberculosis as well as for hemoglobin and lead levels. RESULTS: Over a 3-year period (2012-2015), laboratory screening was performed on 1977 subjects entering foster care in a consultative foster care clinic. The prevalence of hepatitis B, hepatitis C, syphilis, and tuberculosis were all found to be <1%. There were no cases of HIV. Seven percent of teenagers entering foster care tested positive for Chlamydia. A secondary finding was that 54% of subjects were hepatitis B surface antibody-negative, indicating an absence of detected immunity to the hepatitis B virus. CONCLUSIONS: Routine laboratory screening for children entering foster care resulted in a low yield. Targeted, rather than routine, laboratory screening may be a more clinically meaningful approach for children entering foster care.

Adherence to Biobehavioral Recommendations in Pediatric Migraine as Measured by Electronic Monitoring: The Adherence in Migraine (AIM) Study.

OBJECTIVE: The purpose of this investigation was to examine treatment adherence to medication and lifestyle recommendations among pediatric migraine patients using electronic monitoring systems. BACKGROUND: Nonadherence to medical treatment is a significant public health concern, and can result in poorer treatment outcomes, decreased cost-effectiveness of medical care, and increased morbidity. No studies have systematically examined adherence to medication and lifestyle recommendations in adolescents with migraine outside of a clinical trial. METHODS: Participants included 56 adolescents ages 11-17 who were presenting for clinical care. All were diagnosed with migraine with or without aura or chronic migraine and had at least 4 headache days per month. Medication adherence was objectively measured using electronic monitoring systems (Medication Event Monitoring Systems technology) and daily, prospective self-report via personal electronic devices. Adherence to lifestyle recommendations of regular exercise, eating, and fluid intake were also assessed using daily self-report on personal electronic devices. RESULTS: Electronic monitoring indicates that adolescents adhere to their medication 75% of the time, which was significantly higher than self-reported rates of medication adherence (64%). Use of electronic monitoring of medication detected rates of adherence that were significantly higher for participants taking once daily medication (85%) versus participants taking twice daily medication (59%). Average reported adherence to lifestyle recommendations of consistent noncaffeinated fluid intake (M = 5 cups per day) was below recommended levels of a minimum of 8 cups per day. Participants on average also reported skipping 1 meal per week despite recommendations of consistently eating three meals per day. CONCLUSIONS: Results suggest that intervention focused on adherence to preventive treatments (such as medication) and lifestyle recommendations may provide more optimal outcomes for children and adolescents with migraine and their families. Once daily dosing of medication may be preferred to twice daily medication for increased medication adherence among children and adolescents.