Concordance of Data on Children's Unmet Health Care Needs Between 2 National Surveys

Caregiver Report of Adverse Childhood Events: Comparison of Self-Administered and Telephone Questionnaires

Adverse childhood experiences (ACEs) are traumatic experiences that increase people's susceptibility to adverse physical health, mental health, and social consequences in adulthood. Screening for ACEs in primary care settings is complicated by a lack of consensus on appropriate methods for identifying exposure to ACEs. It is unclear whether self-report methods could increase disclosure of ACEs as compared to interview-based methods. This study compares data on the prevalence of ACEs from two publicly available surveys conducted on the same population of children's caregivers: the 2019 Ohio subsample of the web/mail-based National Survey of Children's Health and the telephone-based 2019 Ohio Medicaid Assessment Survey. We find higher disclosure of caregiver-reported child exposure to ACEs in the telephone interview survey, highlighting the importance of the role of verbal communication in developing a safe and trusting relationship in the disclosure of trauma.

Parent Gender and Assessment of Children's Health

Caregiver-reported data on children's health are typically provided by mothers. We investigated whether measures of children's health would significantly differ between mother and father respondents to a nationally representative survey. This study used de-identified data on children age 0 to 17 years from the 2016-2019 National Survey of Children's Health (NSCH). The primary exposure was whether the survey was completed by the child's father (cases) or mother (controls). Outcome variables included general health, special health care needs (SHCN), and unmet health care needs. We identified 85 191 children meeting inclusion criteria, of whom 35.1% had a father respondent. After propensity score matching, 27 738 children with a father respondent were matched to an equal size group of children with a mother respondent. On conditional logistic regression analysis of the matched sample, we found that poor health, SHCN, and unmet health care needs were less likely to be reported for children in the sample by father respondents.

Nation-wide decrease in the prevalence of pediatric chronic pain during the COVID-19 pandemic

OBJECTIVES

The COVID-19 pandemic was expected to increase prevalence and severity of chronic pain. We compared pandemic-era and pre-pandemic prevalence of chronic pain among children in the US.

METHODS

Data were obtained from the 2019 and 2020 National Survey of Children's Health, a web-or mail-based survey representative of children living in the US (n=20,359 in 2019; 29,159 in 2020). Caregiver-reported prevalence of chronic pain was compared between survey years using bivariate and multivariable methods.

RESULTS

The prevalence of chronic pain among US children decreased from 11 to 8% in the first year of the pandemic. Multivariable analysis adjusting for children's and caregivers' demographics and socioeconomic characteristics confirmed that in 2020, odds of caregiver-reported chronic pain declined by 33% (95% confidence interval: 23%, 42%; p<0.001).

CONCLUSIONS

The encouraging finding of a nationwide decrease in the prevalence of chronic pain calls into question initial predictions anticipating the pandemic to contribute to onset or persistence of chronic pain among children.

Association Between Maternal Health Status and Family Resilience: Results from a National Survey

OBJECTIVE

The relationship between maternal health and health outcome of offspring has been studied extensively. However, measures such as family resilience in the context of maternal health are not well understood. The objective of this study was to determine if overall maternal health status is associated with family resilience.

METHODS

Using the 2016 National Survey of Children's Health, a nationally representative survey of parents/guardians of children ages 0-17, we evaluated the association of overall maternal health status with measures of family resilience. The analysis was performed using descriptive and multivariable analyses. The study adjusted for current health insurance status, family structure of child's household, income level, highest education of adult in household, child race, primary household language, children with special health care needs, emotional support, neighborhood support, parental aggravation, and adverse childhood experiences.

RESULTS

Compared to mothers who reported their physical health to be good, mothers who had a very good/excellent physical health status reported significantly higher adjusted rates for family resilience measures [Adjusted Odds Ratio (AOR) 0.741, 95% Confidence Interval (CI) (0.640, 0.859); p < 0.001]. Results suggested also that mothers whose mental health was very good/excellent were more likely to exhibit greater family resilience as compared to those that were good [(AOR) 0.452, 95% (CI) (0.390, 0.525); p < 0.001] or poor/fair [(AOR) 0.283, 95% (CI) (0.223, 0.360); p < 0.001].

CONCLUSION

Our findings suggest that maternal mental and physical health may contribute to how families respond to adversity. Our findings highlight the importance of evaluating interventions that target both physical and mental aspects of maternal health status to better the resilience of the family unit. In the healthcare setting, maternal health services should ensure early detection and prevention of chronic conditions beyond obstetric care and detection and treatment of mental health.

Children's unmet need for mental health care within and outside metropolitan areas

BACKGROUND

Rural communities experience a lack of pediatric mental health providers. It is unclear if this leads to greater unmet needs for specialty mental health services among rural children.

METHODS

Data from the 2016-2019 National Survey of Children's Health were used to identify children aged 6-17 years with a mental health condition. Caregiver-reported need and receipt of specialty mental health care for their child (met need, unmet need, or no need) was compared according to residence in a Metropolitan Statistical Area (MSA).

RESULTS

The analysis included 13,021 children (14% living outside MSAs). Unmet need for mental health services was reported for 9% of children, with no difference by rural-urban residence (p = 0.940). Multivariable analysis confirmed this finding and identified urban children as less likely to have no need for mental health services, compared to rural children (relative risk ratio of no need vs. met need: 0.79; 95% confidence interval: 0.65, 0.95; p = 0.015).

CONCLUSION

Children with mental health conditions living in rural areas (outside MSAs) did not have higher rates of unmet needs for specialty mental health services, but they had lower rates of any caregiver-reported needs for such services. Further work is needed to examine caregivers' demand for pediatric specialty mental health services.

Comparison of unmet health care needs in children with intellectual disability, autism spectrum disorder and both disorders combined

BACKGROUND

The purpose of this study was to assess the unmet health care needs of children with intellectual disability (ID) compared with children with autism spectrum disorder (ASD) and whether access to health insurance coverage is a contributing factor. Children with ID may be masked in the health care system due to increased diagnosis and awareness of ASD. The needs, unmet needs and insurance coverage of children with ID alone, ASD alone, and co-occurring ID and ASD were assessed in this study.

METHODS

The 2016 to 2019 United States' Census Bureau National Survey of Children's Health was used to determine differences in unmet needs, care not received and health insurance coverage during the past year for children with ID and/or ASD. Adjusted odds ratios and 95% confidence intervals for care not received were determined controlling for sex, insurance, race, age and parents' highest education level.

RESULTS

Children with ID were nearly four times more likely not to receive needed medical care as children with ASD. Results were similar for unmet hearing and mental health care. Children with both ID and ASD were more likely to have unmet health care but less likely to have unmet medical care compared with children with ASD alone. There were no significant differences for unmet dental or vision care. Children with ID were 3.58 (95% confidence interval: 1.6-8.0) times more likely to have inconsistent health insurance compared with children with ASD.

CONCLUSIONS

Children with ID alone are more likely to have unmet medical, hearing and mental health care needs than children with ASD alone. Children with co-occurring ID and ASD have a large amount of general unmet health care needs but less unmet medical needs. Children with ID are less likely to have consistent health insurance than children with ASD. This hinders the ability of children with ID to receive quality care. Further research is needed to determine if the diagnosis of ASD in children in the United States is negatively affecting children with ID alone.

Unmet needs for vision care among children with gaps in health insurance coverage

BACKGROUND

Access to vision care is essential for diagnosing and treating vision impairments. Gaps in health insurance coverage may prevent children from receiving vision care and lead to unmet needs for vision services.

METHODS

This study used deidentified data on children 3-17 years of age from the 2016-2019 National Survey of Children's Health. The primary outcome was caregiver-reported unmet needs for vision care in the previous 12 months.

RESULTS

Based on a sample of 106,876 children, 3.8% of US children had a recent gap in coverage, and 5.0% lacked insurance in the entire year leading up to the survey. The estimated population prevalence of caregiver-reported unmet needs for vision care was 0.7%. However, children with gaps in coverage had almost 19-fold higher odds of having caregiver-reported unmet vision care needs (OR = 18.7; 95% CI, 11.5-30.2; P < 0.001), and children with a complete lack of coverage also had a ninefold higher odds of caregiver-reported unmet vision care needs (OR = 9.5; 95% CI, 5.5-16.4; P < 0.001), compared to children with year-round private coverage. In the 2018-2019 data, results were similar when analyzing completion of routine vision testing within the past 12 months.

CONCLUSIONS

Children with gaps in coverage had the highest likelihood of caregiver-reported unmet vision care needs compared with children with year-round coverage or children with year-round lack of coverage.