Family out-of-pocket health care burden and children's unmet needs or delayed health care

How enabling factors determine unmet healthcare needs? A panel data approach for countries

Health service need refers to the essential care required to achieve optimal health outcomes within resource constraints. When necessary services to address identified health issues are not received, unmet needs arise. This research focuses on the determinants of unmet healthcare needs across the 34 countries within the European region from 2011 to 2019, focusing on Andersen's Behavioral Model's enabling factors. We employed a static and robust panel regression model using Stata 14.0 software. Key determinants analyzed include GDP per capita, urbanization rate, and physicians per capita. Findings reveal that lower GDP per capita and lower urbanization rates are significantly correlated with higher levels of unmet healthcare needs, highlighting income level and geographical accessibility as critical factors. Additionally, a higher number of physicians per capita is associated with reduced unmet healthcare needs, indicating the importance of healthcare resources in addressing healthcare access gaps. These findings underscore the importance of targeted healthcare policies that address income level, improve healthcare accessibility, and enhance healthcare resource allocation to reduce unmet healthcare needs effectively. These findings equip policymakers and administrators with empirically grounded insights to comprehend the factors contributing to unmet healthcare needs and to develop policies aimed at addressing this challenge.

Quantifying the costs of hospital admission for families of children with a febrile illness in the North East of England

OBJECTIVE

To assess the financial non-medical out-of-pocket costs of hospital admissions for children with a febrile illness.

DESIGN

Single-centre survey-based study conducted between March and November 2022.

SETTING

Tertiary level children's hospital in the North East of England.

PARTICIPANTS

Families of patients with febrile illness attending the paediatric emergency department MAIN OUTCOME MEASURES: Non-medical out-of-pocket costs for the admission were estimated by participants including: transport, food and drinks, child care, miscellaneous costs and loss of earnings.

RESULTS

83 families completed the survey. 79 families (95.2%) reported non-medical out-of-pocket costs and 19 (22.9%) reported financial hardship following their child's admission.Total costs per day of admission were median £56.25 (IQR £32.10-157.25). The majority of families reported incurring transport (N=75) and food and drinks (N=71) costs.

CONCLUSIONS

A child's hospital admission for fever can incur significant financial costs for their family. One in five participating families reported financial hardship following their child's admission. Self-employed and single parents were disadvantaged by unplanned hospital admissions and at an increased risk of financial hardship. Local hospital policies should be improved to support families in the current financial climate.

"You Have to Rob Peter to Pay Paul So Your Kid Can Breathe": Using Qualitative Methods to Characterize Trade-Offs and Economic Impact of Asthma Care Costs

BACKGROUND

Economic analyses often focus narrowly on individual patients' health care use, while overlooking the growing economic burden of out-of-pocket costs for health care on other family medical and household needs.

OBJECTIVE

The aim of this study was to explore intrafamilial trade-offs families make when paying for asthma care.

RESEARCH DESIGN

In 2018, we conducted telephone interviews with 59 commercially insured adults who had asthma and/or had a child with asthma. We analyzed data qualitatively via thematic content analysis.

PARTICIPANTS

Our purposive sample included participants with high-deductible and no/low-deductible health plans. We recruited participants through a national asthma advocacy organization and a large nonprofit regional health plan.

MEASURES

Our semistructured interview guide explored domains related to asthma adherence and cost burden, cost management strategies, and trade-offs.

RESULTS

Participants reported that they tried to prioritize paying for asthma care, even at the expense of their family's overall financial well-being. When facing conflicting demands, participants described making trade-offs between asthma care and other health and nonmedical needs based on several criteria: (1) short-term needs versus longer term financial health; (2) needs of children over adults; (3) acuity of the condition; (4) effectiveness of treatment; and (5) availability of lower cost alternatives.

CONCLUSIONS

Our findings suggest that cost-sharing for asthma care often has negative financial consequences for families that traditional, individually focused economic analyses are unlikely to capture. This work highlights the need for patient-centered research to evaluate the impact of health care costs at the family level, holistically measuring short-term and long-term family financial outcomes that extend beyond health care use alone.

Parent Ratings of Health Insurance Adequacy for Children with Emotional, Behavioral, or Developmental Problems

OBJECTIVE

Parents of children with special health care needs (CSHCN) report that private insurance is less adequate than public health coverage. Parents of CSHCN with emotional, behavioral, or developmental problems (EBDPs) may perceive private insurance to be especially inadequate due to higher need for a wider array of non-medical services and supports. This study's objective is to assess differences in parent ratings of insurance adequacy for public versus private health coverage between non-CSHCN, CSHCN, and CSHCN with EBDPs.

METHODS

This study pooled publicly available data from the 2016 through 2019 National Survey of Children's Health. Multivariable fixed effects logistic regression models estimated the association between insurance type, CSCHN and EBDP status, and parent ratings of their child's insurance adequacy. Marginal effects were calculated for insurance type, CSHCN and EBDP status, and their interactions to estimate the size of the association.

RESULTS

Among all subgroups, consistently more parents with publicly insured children rated their insurance as adequate compared to those with private insurance. Parents of privately insured CSHCN with EBDPs rated their insurance as adequate at significantly lower rates than any other group of parents (55%)-including those with privately insured children without EBDPs (non-CSHCN= 67%; CSHCN = 63%) and all other parents with publicly insured children (non-CSHCN = 87%; CSHCN = 83%; CSHCN with EBDPs = 84%).

CONCLUSIONS

Future research should investigate if perceptions of insurance adequacy among families whose CSHCN has an EBDP aligns with reports of service access and unmet health care needs.

Better Late Than Never: Effects of Late ACA Medicaid Expansions for Parents on Family Health-Related Financial Well-Being

Public health insurance eligibility for low-income adults has improved adult economic well-being. But whether parental public health insurance eligibility has spillover effects on children's health insurance coverage and family health-related financial well-being is less understood. We use the 2016 to 2020 National Survey of Children's Health (NSCH) to estimate the effects of Medicaid expansions through the Affordable Care Act (ACA) for parents on child health insurance coverage, parents' employment decisions due to child health, and family health-related financial well-being. We compare children in low-income families in states that expanded Medicaid for parents after 2015 to states that never expanded in a difference-in-differences framework. We find that these expansions were associated with increases in children's public health insurance coverage by 5.5 percentage points and reductions in private coverage by 5 percentage points. We additionally find that parents were less likely to avoid changing jobs for health insurance reasons and children's medical expenses were less likely to exceed $1000. We find no evidence that the expansions affected children's dual coverage and uninsurance. Our estimates are robust to falsification and sensitivity analyzes. Our findings also suggest that benefits on children's medical expenses are concentrated in the families with the greatest financial need.

Out of pocket costs and time/productivity losses for pediatric sepsis in Uganda: a mixed-methods study

Background

Sepsis disproportionately affects children from socioeconomically disadvantaged families in low-resource settings, where care seeking may consume scarce family resources and lead to financial hardships. Those financial hardships may, in turn, contribute to late presentation or failure to seek care and result in high mortality during hospitalization and during the post discharge period, a period of increasingly recognized vulnerability. The purpose of this study is to explore the out-of-pocket costs related to sepsis hospitalizations and post-discharge care among children admitted with sepsis in Uganda.

Methods

This mixed-methods study was comprised of focus group discussions (FGD) with caregivers of children admitted for sepsis, which then informed a quantitative cross-sectional household survey to measure out-of-pocket costs of sepsis care both during initial admission and during the post-discharge period. All participants were families of children enrolled in a concurrent sepsis study.

Results

Three FGD with mothers (n = 20) and one FGD with fathers (n = 7) were conducted. Three primary themes that emerged included (1) financial losses, (2) time and productivity losses and (3) coping with costs. A subsequently developed cross-sectional survey was completed for 153 households of children discharged following admission for sepsis. The survey revealed a high cost of care for families attending both private and public facilities, although out-of-pocket cost were higher at private facilities. Half of those surveyed reported loss of income during hospitalization and a third sold household assets, most often livestock, to cover costs. Total mean out-of-pocket costs of hospital care and post-discharge care were 124.50 USD and 44.60 USD respectively for those seeking initial care at private facilities and 62.10 USD and 14.60 USD at public facilities, a high sum in a country with widespread poverty.

Conclusions

This study reveals that families incur a substantial economic burden in accessing care for children with sepsis.

Controller Medication Use and Exacerbations for Children and Adults With Asthma in High-Deductible Health Plans

IMPORTANCE

High-deductible health plans (HDHPs) are increasingly common and associated with decreased medication use in some adult populations. How children are affected is less certain.

OBJECTIVE

To examine the association between HDHP enrollment and asthma controller medication use and exacerbations.

DESIGN, SETTING, AND PARTICIPANTS

For this longitudinal cohort study with a difference-in-differences design, data were obtained from a large, national, commercial (and Medicare Advantage) administrative claims database between January 1, 2002, and December 31, 2014. Children aged 4 to 17 years and adults aged 18 to 64 years with persistent asthma who switched from traditional plans to HDHPs or remained in traditional plans (control group) by employer choice during a 24-month period were identified. A coarsened exact matching technique was used to balance the groups on characteristics including employer and enrollee propensity to have HDHPs. In most HDHPs, asthma medications were exempt from the deductible and subject to copayments. Statistical analyses were conducted from August 13, 2019, to January 19, 2021.

EXPOSURE

Employer-mandated HDHP transition.

MAIN OUTCOMES AND MEASURES

Thirty-day fill rates and adherence (based on proportion of days covered [PDC]) were measured for asthma controller medications (inhaled corticosteroid [ICS], leukotriene inhibitors, and ICS long-acting β-agonists [ICS-LABAs]). Asthma exacerbations were measured by rates of oral corticosteroid bursts and asthma-related emergency department visits among controller medication users.

RESULTS

The HDHP group included 7275 children (mean [SD] age, 10.8 [3.3] years; 4402 boys [60.5%]; and 5172 non-Hispanic White children [71.1%]) and 17 614 adults (mean [SD] age, 41.1 [13.4] years; 10 464 women [59.4%]; and 12 548 non-Hispanic White adults [71.2%]). The matched control group included 45 549 children and 114 141 adults. Compared with controls, children switching to HDHPs experienced significant absolute decreases in annual 30-day fills only for ICS-LABA medications (absolute change, -0.04; 95% CI, -0.07 to -0.01). Adults switching to HDHPs did not have significant reductions in 30-day fills for any controllers. There were no statistically significant differences in PDC, oral steroid bursts, or asthma-related emergency department visits for children or adults. For the 9.9% of HDHP enrollees with health savings account-eligible HDHPs that subjected medications to the deductible, there was a significant absolute decrease in PDC for ICS-LABA compared with controls (-4.8%; 95% CI, -7.7% to -1.9%).

CONCLUSIONS AND RELEVANCE

This cohort study found that in a population where medications were exempt from the deductible for most enrollees, HDHP enrollment was associated with minimal or no reductions in controller medication use for children and adults and no change in asthma exacerbations. These findings suggest a potential benefit from exempting asthma medications from the deductible in HDHPs.

Income Shocks and Out-of-Pocket Health Care Spending: Implications for Single-Mother Families

We examine how out-of-pocket health care spending by single-mother families responds to income losses. We use eleven two-year panels of the Medical Expenditure Panel Survey for the period 2004-2015 and apply the correlated random effects estimation approach. We categorize income in relation to the federal poverty line (FPL): poor or near-poor (less than 125% of the FPL); low income (125 to 199% of the FPL); middle income (200 to 399% of the FPL); and high income (400% of the FPL or more). Income losses among high-income single-mother families lead a decline in out-of-pocket spending toward office-based care and emergency room care of $119-$138 and $30-$60, respectively. Among middle-income single-mother families, income losses lead to a $30 decline in out-of-pocket spending toward family emergency room care and a $45-$91 decline in mother's out-of-pocket spending toward prescription medications. Further research should examine whether these declines compromise health status of single-mother family members.

Unmet Need for Medical Care: The Role of Mental Health Status

Mental health status is an important factor to consider when exploring correlates of unmet need for medical care and prescription drugs. This paper explores whether self-rated mental health status is associated with unmet need and delays in obtaining medical care and prescription drugs. Descriptive statistics and multivariable logistic regression with 27,305 non-institutionalized adults aged 18 and older from the 2012 Medical Expenditure Panel Survey explore factors associated with self-reported unmet need for medical care and prescriptions, as well as access delays. Patients with lower physical and mental health status had the highest odds of experiencing unmet need for medical care and prescriptions, as well as access delays. These findings highlight the importance of increasing access to a usual source of care among individuals with lower self-rated mental health status as a strategy for addressing unmet need.

Economy-Sensitive Conditions: Are Some Pediatric Hospitalizations Triggered By Economic Recessions?

The impact of economic recessions on child health is complex and varied. Here we examine associations between county-level unemployment and pediatric hospitalizations in fourteen states every third year from 2002 to 2014. After adjusting for state-specific effects of unemployment across all counties and years, we found that increased unemployment was associated with increased pediatric hospitalizations for four potentially economy-sensitive conditions, such that a 1 percent increase in unemployment was associated with a 5 percent increase in hospitalizations for substance abuse, a 4 percent increase for diabetes mellitus, and a 2 percent increase both for children with medical complexity and for poisoning and burns. Mean pediatric all-cause hospitalizations increased by 2 percent for every 1 percent increase in unemployment (or 54,177 excess hospitalizations in 2011 compared with 2005). Hospitalizations for mental health, despite the increased severity of these conditions during recessions, were not associated with unemployment. Further research is needed to examine potential federal, state, and local policies that may mitigate the influence of unemployment on child health and pediatric hospitalizations.

Trends in Pediatric Primary Care Visits Among Commercially Insured US Children, 2008-2016

IMPORTANCE

Primary care is the foundation of pediatric care. While policy interventions have focused on improving access and quality of primary care, trends in overall use of primary care among children have not been described.

OBJECTIVE

To assess trends in primary care visit rates and out-of-pocket costs, to examine variation in these trends by patient and visit characteristics, and to assess shifts to alternative care options (eg, retail clinics, urgent care, and telemedicine).

DESIGN, SETTING, AND PARTICIPANTS

Observational cohort study of claims data from 2008 to 2016 for children 17 years and younger covered by a large national commercial health plan. Visit rate per 100 child-years was determined for each year overall, by child and geographic characteristics, and by visit type (eg, primary diagnosis), and trends were assessed with a series of child-year Poisson models. Data were analyzed from November 2017 to September 2019.

MAIN OUTCOMES AND MEASURES

Visits to primary care and other settings.

RESULTS

This cohort study included more than 71 million pediatric primary care visits over 29 million pediatric child-years (51% male in 2008 and 2016; 37% between 12-17 years in 2008 and 38% between 12-17 years in 2016). Unadjusted results for primary care visit rates per 100 child-years decreased from 259.6 in 2008 to 227.2 in 2016, yielding a regression-estimated change in primary care visits across the 9 years of -14.4% (95% CI, -15.0% to -13.9%; absolute change: -32.4 visits per 100 child-years). After controlling for shifts in demographics, the relative decrease was -12.8% (95% CI, -13.3% to -12.2%). Preventive care visits per 100 child-years increased from 74.9 in 2008 to 83.2 visits in 2016 (9.9% change in visit rate; 95% CI, 9.0%-10.9%; absolute change: 8.3 visits per 100 child-years), while problem-based visits per 100 child-years decreased from 184.7 in 2008 to 144.1 in 2016 (-24.1%; 95% CI, -24.6% to -23.5%; absolute change: -40.6 visits per 100 child-years). Visit rates decreased for all diagnostic groups except for the behavioral and psychiatric category. Out-of-pocket costs for problem-based primary care visits increased by 42% during the same period. Per 100 child-years, visits to other acute care venues increased from 21.3 to 27.6 (30.3%; 95% CI, 28.5% to 32.1%; absolute change: 6.3 visits per 100 child-years) and visits to specialists from 45.2 to 53.5 (16.4%; 95% CI, 14.8% to 18.0%, absolute change: 8.3 visits per 100 child-years).

CONCLUSIONS AND RELEVANCE

Primary care visit rates among commercially insured children decreased over the last decade. Increases in out-of-pocket costs and shifts to other venues appear to explain some of this decrease.

HOW DO CHANGES IN INCOME, EMPLOYMENT AND HEALTH INSURANCE AFFECT FAMILY MENTAL HEALTH SPENDING?

Using eight two-year panels from the Medical Expenditure Panel Survey data for the period 2004 to 2012, we examine the effect of economic shocks on mental health spending by families with children. Estimating two-part expenditure models within the correlated random effects framework, we find that employment shocks have a greater impact on mental health spending than do income or health insurance shocks. Our estimates reveal that employment gains are associated with a lower likelihood of family mental health services utilization. By contrast employment losses are positively related to an increase in total family mental health. We do not detect a link between economic shocks and mental health spending on behalf of fathers.

Identifying Modifiable Health Care Barriers to Improve Health Equity for Hospitalized Children

BACKGROUND

Children from socially disadvantaged families experience worse hospital outcomes compared with other children. We sought to identify modifiable barriers to care to target for intervention.

METHODS

We conducted a prospective cohort study of hospitalized children over 15 months. Caregivers completed a survey within 3 days of admission and 2 to 8 weeks after discharge to assess 10 reported barriers to care related to their interactions within the health care system (eg, not feeling like they have sufficient skills to navigate the system and experiencing marginalization). Associations between barriers and outcomes (30-day readmissions and length of stay) were assessed by using multivariable regression. Barriers associated with worse outcomes were then tested for associations with a cumulative social disadvantage score based on 5 family sociodemographic characteristics (eg, low income).

RESULTS

Of eligible families, 61% (n = 3651) completed the admission survey; of those, 48% (n = 1734) completed follow-up. Nine of 10 barriers were associated with at least 1 worse hospital outcome. Of those, 4 were also positively associated with cumulative social disadvantage: perceiving the system as a barrier (adjusted β = 1.66; 95% confidence interval [CI] 1.02 to 2.30), skill barriers (β = 3.82; 95% CI 3.22 to 4.43), cultural distance (β = 1.75; 95% CI 1.36 to 2.15), and marginalization (β = .71; 95% CI 0.30 to 1.11). Low income had the most consistently strong association with reported barriers.

CONCLUSIONS

System barriers, skill barriers, cultural distance, and marginalization were significantly associated with both worse hospital outcomes and social disadvantage, suggesting these are promising targets for intervention to decrease disparities for hospitalized children.

Why We Don't Need "Unmet Needs"! On the Concepts of Unmet Need and Severity in Health-Care Priority Setting

In health care priority setting different criteria are used to reflect the relevant values that should guide decision-making. During recent years there has been a development of value frameworks implying the use of multiple criteria, a development that has not been accompanied by a structured conceptual and normative analysis of how different criteria relate to each other and to underlying normative considerations. Examples of such criteria are unmet need and severity. In this article these crucial criteria are conceptually clarified and analyzed in relation to each other. We argue that disease-severity and condition-severity should be distinguished and we find the latter concept better reflects underlying normative values. We further argue that unmet need does not fulfil an independent and relevant role in relation to condition-severity except for in some limited situations when having to distinguish between conditions of equal severity (and where other features also equals each other).

Family-Centered Care Measurement and Associations With Unmet Health Care Need Among US Children

OBJECTIVE

Family-centered care (FCC), including shared decision making (SDM), has become increasingly emphasized in pediatric health care delivery. Past studies using national surveys have used different FCC measurement approaches without determining their validity. We, therefore, sought to develop an FCC measurement model with Medical Expenditure Panel Survey (MEPS) items previously used to assess FCC or SDM; and to determine temporal associations of FCC with unmet health care need.

METHODS

Four longitudinal MEPS data files (2007-2011) were combined. The study sample included 15,764 US children aged 0 to 17 years. Eight items assessed FCC, and 5 items assessed unmet health care need. We performed exploratory factor analyses to develop an FCC measurement model and fit a cross-lagged structural equation model to determine temporal associations between FCC and unmet health care need.

RESULTS

Results supported a 2-factor FCC model including family-provider communication and SDM. The family-provider communication factor was indicated by items reflecting general communication between the child's doctor and family. The SDM factor was indicated by items reflecting decision-making about the child's health care. Adjusted cross-lagged structural equation model results showed family-provider communication and SDM were associated with a reduced likelihood of unmet health care need the following year. Unmet health care need was not significantly associated with family-provider communication or SDM the subsequent year.

CONCLUSIONS

Study results support differentiating between family-provider communication and SDM as interrelated aspects of FCC in future pediatric health care quality measurement and improvement. Family-provider communication and SDM may reduce the likelihood of unmet health care need the following year among US children.

Evaluating the Health Impact of Large-Scale Public Policy Changes: Classical and Novel Approaches

Large-scale public policy changes are often recommended to improve public health. Despite varying widely-from tobacco taxes to poverty-relief programs-such policies present a common dilemma to public health researchers: how to evaluate their health effects when randomized controlled trials are not possible. Here, we review the state of knowledge and experience of public health researchers who rigorously evaluate the health consequences of large-scale public policy changes. We organize our discussion by detailing approaches to address three common challenges of conducting policy evaluations: distinguishing a policy effect from time trends in health outcomes or preexisting differences between policy-affected and -unaffected communities (using difference-in-differences approaches); constructing a comparison population when a policy affects a population for whom a well-matched comparator is not immediately available (using propensity score or synthetic control approaches); and addressing unobserved confounders by utilizing quasi-random variations in policy exposure (using regression discontinuity, instrumental variables, or near-far matching approaches).

Characteristics of Rural Children Admitted to Pediatric Hospitals

BACKGROUND AND OBJECTIVES

Delivering high-quality care to children living in rural areas can be challenging. Compared with nonrural children, rural children often experience worse health outcomes. We assessed characteristics and hospitalizations of rural children admitted to US children's hospitals in 2012.

METHODS

Retrospective cohort analysis of 672190 admissions between January 1, 2012, and December 31, 2012, to 41 children's hospitals in the Pediatric Health Information System database. ZIP codes were used to assess the patients' rurality (by using Rural-Urban Community Areas classification), residence in a Health Professional Shortage Area, and family income. Multivariable regression was used to compare patient characteristics and hospital utilization between rural and nonrural children.

RESULTS

Rural children accounted for 12% of all admissions (n = 81 360) to the children's hospitals. Compared with nonrural children, rural children lived farther from the hospital (median [interquartile range]: 68 [48-104] vs 12 [6-24] miles) and more often resided in low-income ZIP codes (53% vs 24%) and Health Professional Shortage Areas (20% vs 4%) (P < .001 for all). Rural children had a higher prevalence of complex chronic conditions (44% vs 37%; P < .001) and medical technology assistance (15% vs 12%; P < .001). In multivariable analysis, rural children experienced higher inpatient costs (mean: $8507 vs $7814; P < .001) and higher odds of 30-day readmission (odds ratio: 1.1; 95% confidence interval: 1.0-1.1; P < .001).

CONCLUSIONS

Rural children hospitalized at children's hospitals have high rates of medical complexity and often reside in low-income and medically underserved areas. Compared with nonrural children, rural children experience more expensive hospitalizations and more frequent readmissions.

Unmet Health Services Needs Among US Children with Developmental Disabilities: Associations with Family Impact and Child Functioning

OBJECTIVE

To determine associations of unmet needs for child or family health services with (1) adverse family financial and employment impacts and (2) child behavioral functioning problems among US children with autism spectrum disorder (ASD), developmental delay (DD), and/or intellectual disability (ID).

METHOD

This was a secondary analysis of parent-reported data from the 2009 to 2010 National Survey of Children with Special Health Care Needs linked to the 2011 Survey of Pathways to Diagnosis and Services. The study sample (n = 3,518) represented an estimated 1,803,112 US children aged 6 to 17 years with current ASD, DD, and/or ID (developmental disabilities). Dependent variables included adverse family financial and employment impacts, as well as child behavioral functioning problems. The independent variables of interest were unmet need for (1) child health services and (2) family health services. Multivariable logistic regression models were fit to examine associations.

RESULTS

Unmet need for child and family health services, adverse family financial and employment impacts, and child behavioral functioning problems were prevalent among US children with developmental disabilities. Unmet needs were associated with an increased likelihood of adverse family employment and financial impacts. Unmet needs were associated with an increased likelihood of child behavioral functioning problems the following year; however, this association was not statistically significant.

CONCLUSION

Unmet needs are associated with adverse impacts for children with developmental disabilities and their families. Increased access to and coordination of needed health services following ASD, DD, and/or ID diagnosis may improve outcomes for children with developmental disabilities and their families.

Trends in Unmet Need for Genetic Counseling Among Children With Special Health Care Needs, 2001-2010

OBJECTIVE

Access to genetic counseling is increasingly important to guide families' and clinicians' decision making, yet there is limited research on accessibility and affordability of counseling for families with children with special health care needs (CSHCN). Our study's objectives were to measure changes in unmet need for genetic counseling for CSHCN from 2001 to 2010 and to characterize child, family, and health system factors associated with unmet need.

METHODS

We used parent-reported data from the 2001, 2005-2006, and 2009-2010 National Survey of Children With Special Health Care Needs. We used a logistic regression model to measure the impact of survey year, child (sex, age, severity of health condition), family (primary language, household income, insurance, financial problems related to cost of CSHCN's health care), and health system factors (region, genetic counselors per capita, having a usual source of care) on access to genetic counseling.

RESULTS

Unmet need for genetic counseling increased significantly in 2009-2010 compared to 2001 (odds ratio 1.89; 95% confidence interval [CI] 1.44-2.47). Being older (adjusted odds ratio [aOR] 1.04; 95% CI 1.02-1.06), having severe health limitations (aOR 1.72; 95% CI 1.16-2.58), being uninsured (aOR 3.56; 95% CI 2.16-5.87), and having family financial problems due to health care costs (aOR 1.90; 95% CI 1.52-2.38) were significantly associated with greater unmet need for genetic counseling. Having a usual source of care was associated with decreased unmet need (aOR 0.55; 95% CI 0.37-0.83).

CONCLUSIONS

Unmet need for genetic counseling has increased over the past 12 years. Uninsurance and financial problems related to health care costs were the largest drivers of unmet need over time.

Unmet Health Care Service Needs of Children With Disabilities in Penang, Malaysia

Information on unmet health care needs reveal problems that are related to unavailability and inaccessibility of services. The study objectives were to determine the prevalence, and the reasons for unmet service needs among children with disabilities in the state of Penang, Malaysia. Caregivers of children with disabilities aged 0 to 12 years registered with the Penang Social Welfare Department in 2012 answered a self-administered mailed questionnaire. A total of 305 questionnaires were available for analysis (response rate 37.9%). Services that were very much needed and yet highly unmet were dental services (49.6% needed, 59.9% unmet), dietary advice (30.9% needed, 63.3% unmet), speech therapy (56.9% needed, 56.8% unmet), psychology services (25.5% needed, 63.3% unmet), and communication aids (33.0% needed, 79.2% unmet). Access problems were mainly due to logistic issues and caregivers not knowing where to obtain services. Findings from this study can be used to inform strategies for service delivery and advocacy for children with disabilities in Penang, Malaysia.

Massachusetts health reform and access for children with special health care needs

BACKGROUND AND OBJECTIVES

Children with special health care needs (CSHCN) face unique challenges in accessing affordable health care. Massachusetts implemented major health reform in 2006; little is known about the impact of this state's health reform on uninsurance, access to care, and financial protection for privately and publicly insured CSHCN.

METHODS

We used a difference-in-differences (DD) approach to compare uninsurance, access to primary and specialty care, and financial protection in Massachusetts versus other states and Washington, DC before and after Massachusetts health reform. Parent-reported data were used from the 2005-2006 and 2009-2010 National Survey of Children with Special Health Care Needs and adjusted for age, gender, race/ethnicity, non-English language at home, and functional difficulties.

RESULTS

Postreform, living in Massachusetts was not associated with significant decreases in uninsurance or increases in access to primary care for CSHCN. For privately insured CSHCN, Massachusetts was associated with increased access to specialists (DD = 6.0%; P ≤ .001) postreform. For publicly insured CSHCN, however, there was a significant decrease in access to prescription medications (DD = -7.2%; P = .003) postreform. Living in Massachusetts postreform was not associated with significant changes in financial protection compared with privately or publicly insured CSHCN in other states.

CONCLUSIONS

Massachusetts health reform likely improved access to specialists for privately insured CSHCN but did not decrease instances of uninsurance, increase access to primary care, or improve financial protection for CSHCN in general. Comparable provisions within the Affordable Care Act may produce similarly modest outcomes for CSHCN.