ArticlePDF Available

Children with Special Health Care Needs: Impact of Health Care Expenditures on Family Financial Burden

Authors:

Abstract and Figures

We investigated the relationship between health care expenditures for Special Health Care Needs (SHCN) children and family perception of financial burden. Using 2005/2006 National Survey of Children with Special Health Care Needs data, a multivariate logistic regression model was used to estimate the relationship between the SHCN child's health care expenditure and perceived financial burden, while controlling for family and child characteristics. Our analysis suggests that health care expenditures for a SHCN child of $250 and more are associated with family perception of financial burden. In addition, families with lower socioeconomic status also perceived financial burden at lower level of expenditures. Members of the health care team who treat children with SHCN have an important role in understanding and assessing family financial burden as part of the care delivery to the child and the family. Our study reinforces the need to treat the whole family as the unit of care, especially when caring for children with special health care needs.
Content may be subject to copyright.
Children with special health care needs: Impact of health care
expenditures on family financial burden
Lisa C. Lindley and
School of Nursing, University of North Carolina – Chapel Hill, Carrington Hall, CB 7460, Chapel Hill,
NC 27599-7460
Barbara A. Mark
School of Nursing, University of North Carolina – Chapel Hill, Carrington Hall, CB 7460, Chapel Hill,
NC 27599-7460
Lisa C. Lindley: llindley@email.unc.edu
Abstract
We investigated the relationship between health care expenditures for Special Health Care Needs
(SHCN) children and family perception of financial burden. Using 2005/2006 National Survey of
Children with Special Health Care Needs data, a multivariate logistic regression model was used to
estimate the relationship between the SHCN child’s health care expenditure and perceived financial
burden, while controlling for family and child characteristics. Our analysis suggests that health care
expenditures for a SHCN child of $250 and more are associated with family perception of financial
burden. In addition, families with lower socioeconomic status also perceived financial burden at
lower level of expenditures. Members of the health care team who treat children with SHCN have
an important role in understanding and assessing family financial burden as part of the care delivery
to the child and the family. Our study reinforces the need to treat the whole family as the unit of care,
especially when caring for children with special health care needs.
Keywords
children with special health care needs; financial burden; National Survey of Children with Special
Health Care Needs; family centered care; health expenditures
Introduction
Children with special health care needs (SHCN), i.e. those who have or are at increased risk
for a variety of chronic conditions, and who require health services beyond those required by
children generally, typically experience higher health care utilization and expenditures than
the average pediatric population (McPherson et al., 1998). These children often use more
hospital days, emergency room visits, surgical or medical procedures, medical specialist visits,
and home health days than non-SHCN children (Boulet, Boyles, & Schieve, 2009; Newacheck,
Inkelas, & Kim, 2004). This extensive use of services may create a financial burden for many
families (Boulet et al., 2009; Newacheck & Kim, 2005).
Families incur a broad range of expenses associated with a SHCN child’s health care. Families
of children with SHCN conditions such as autism, muscular dystrophy, cystic fibrosis, heart
problems, and emotional problems persistently have annual out-of-pocket medical
Correspondence to: Lisa C. Lindley, llindley@email.unc.edu.
NIH Public Access
Author Manuscript
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
Published in final edited form as:
J Child Fam Stud. 2010 February ; 19(1): 79–89. doi:10.1007/s10826-009-9286-6.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
expenditures (excluding insurance premiums) ranging from $2,669 to $69,906 compared to
$676 to $3,181 for families with non-SHCN children (Buescher, Brunnsen, Whitmire, & Klutz-
Hile, 2006; Newacheck et al., 2004; Shenkman, Knapp, Sappington, Vogel, & Schartz,
2007). Health insurance premiums can cost the family of a SHCN child an additional $2,058.00
to $3,593 annually depending on benefit plan type (Davidoff, 2004). There are also costs
incurred by the family from added electricity, heating, and water needs, special clothing,
equipment, food, other drugs, and expenses associated with medical appointments (Miedema,
Easley, Fortin, Hamilton, & Mathews, 2008; Steele & Davies, 2006). For example, children
who are unable to regulate their body temperature may require the heat be kept high or constant
use of air conditioning. Extra laundry may be required for children with incontinence, vomiting,
or constant drooling problems. Special wheelchair lifts and vans to transport children can range
in price from $5,000 to $30,000 (Steele & Davies, 2006). The burden of these costs is magnified
when care for the child means a loss in parental income due to missed work, not being able to
work regular hours, not being able to work additional hours or overtime, having to change
shifts with loss of pay differential, or quitting their jobs (Friedman, Hilden, & Powaski,
2005; Miedema et al., 2008; Montes & Halterman, 2008).
Expenditures such as these have resulted in approximately 40% of families with SHCN children
experiencing financial-related burden due to their child’s health condition (Kuhlthau, Hill,
Yucel, & Perrin, 2005). Family financial burden is defined as the family’s perception of
financial stress and worry caused by inadequate monetary resources to meet the family’s fiscal
demands (McCubbin & Patterson, 1983). Financial burden often emerges as a significant
concern at a time when families are already consumed with the child’s health challenges.
Family members who are preoccupied with financial burden may be distracted and less
attentive to the child’s care needs (Kristjanson, Nikoletti, Porock, Smith, Lobchuk, & Pedler,
1998). In addition, financial burden may have long-term effects on the financial security,
quality of life, and future well-being of the entire family (Miedema et al., 2008).
Few studies have explored family financial burden, particularly for families of SHCN children.
These studies have investigated the relationship of health care expenditures and perceived
family financial burden to child health insurance status (Chen & Newacheck, 2006; Yu, Dick,
& Szilagyi, 2008), location of family residence (Shattuck & Parish, 2008; Skinner & Slifkin,
2007), and child health status (Kuhlthau et al., 2005). Although these studies have contributed
to our knowledge of family and child factors associated with expenditures and financial burden,
there is a lack of knowledge about the relationship of SHCN child health care expenditures to
perceived family financial burden and at what level of health care expenditures families
perceive financial burden. Therefore, the aims of this study were to investigate the relationship
between health care expenditures for SHCN children and family perception of financial burden
and to explore the moderating effect of income.
Figure 1 depicts the conceptual model of financial burden as a function of health care
expenditures, family characteristics, and child characteristics. Health care expenditures require
the family to have adequate monetary resources to meet these fiscal demands. When there are
inadequate financial resources, families may perceive a burden (Davidoff, 2004;Kuhlthau et
al, 2005;Shattuck & Parish, 2008;Skinner & Slifkin, 2007;Yu et al., 2008). In addition as
expenditures increase, requiring greater financial resources, burden may also increase. Family
response to the health care expenditures of the SHCN child depends on the amount of financial
resources, such as income, the family has at its disposal. Those that do not have sufficient
resources may perceive health care expenditures as a burden, whereas those with adequate
resources may not perceive a burden (Kuhlthau et al., 2005).
The model also included selected family and child characteristics that might have a relationship
to family financial burden. For example, Metropolitan statistical area was included because
Lindley and Mark Page 2
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
rural families may have limited employment opportunities, lower income, limited access to
health, and limited health insurance coverage, which may increase family financial burden.
(Skinner & Slifkin, 2007). Providing home care, stopped work, cut in hours worked, and need
for additional income have all been shown to increase the likelihood of families perceiving or
experiencing financial burden because they reflect the decreasing financial resources of the
family (Heck & Makuc, 2000; Kuhlthau & Perrin, 2001; Kuhlthau et al., 2005; Vicker &
Carlisle, 2000). Family structure was included because single adult families may have fewer
financial resources than family structures with two adults, which may result in a greater
likelihood of perceiving financial burden. Household education and household language were
included because families with less education and those that lack English proficiency may have
lower earning potential and fewer financial resources than those with more education and who
speak English, increasing the likelihood of financial burden (Kuhlthau et al., 2005; Payne,
Devol, & Smith, 2001).
Child characteristics such as age were included because younger children may utilize more
health care services at the onset of their health condition causing the family to experience
greater burden (Himelstein, 2006). Children with more health conditions may require more
financial resources and place a greater financial burden on the family, so number of
conditions was included in the model. Severity of the child’s health condition was included
because a more severe condition may require more health care utilization resulting in greater
financial burden for the family (Emmanuel, Fairclough, Slutsman, & Emmanuel, 2000;
Kuhlthau et al., 2005; Newacheck, Hughes, Hung, Wong, & Stoddard, 2000). Because mothers
are typically the caregivers to SHCN children, they may report more burden than other family
members, so survey respondent was included (Buhse 2008; Knafl & Zoeller, 2000). As the
number of health conditions increases, this may increase the financial burden for the family.
Type of health condition was included because some health conditions such as heart problems
may require more financial resources than others such as headaches/migraines and cause the
family to perceive financial burden. When children have no health insurance or inadequate
coverage, family financial burden may increase, so insurance type was included (Chen &
Newacheck, 2006; Fox, McManus, & Reichman, 2002; Jeffrey & Newacheck, 2006). Sex and
race were included because male and African-American children are more often afflicted with
SHCN conditions, which has the potential to increase the likelihood of financial burden for the
family (Newacheck, Strickland, Shonkoff, Perrin, McPherson, McManus, Lauver, Fox, &
Arango, 1998)
Method
Design and Sample
Data from the 2005/2006 National Survey of Children with Special Health Care Needs (NS-
CSHCN) were used for this analysis. The NS-CSHCN is a national telephone survey conducted
during 2005–2006 of households with one or more children under 18 years old in all 50 states
and the District of Columbia. A total of 364,841 children under 18 years old from 192,083
households were screened to identify those with special health care needs, and 40,723 detailed
CSHCN interviews were collected. If the family had more than one child with SHCN, one
child was randomly selected for completion of the survey.
Sample selection was based on the 40,723 child observations. Child observations were
excluded from the sample if survey data were missing, interviewees refused to answer the
survey question, or interviewees did not know the answer to the survey question. The final
sample size was 18,135 children with special health care needs and their families. This sample
was found to be representative of the original data set based on comparisons of respondents to
non-respondents on several family and child characteristics.
Lindley and Mark Page 3
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Data Source
NS-CSHCN provided detailed state- and national-level parent-reported information on the
health status and health care system experiences of children with special health care needs and
their families (Child and Adolescent Health Measurement Initiative, 2005–2006). The NS-
CSHCN is a nationwide telephone survey sponsored by the U.S. Department of Health and
Human Services Administration Maternal and Child Health Bureau (MCHB), and conducted
by the National Center for Health Statistics (NCHS) of the Centers for Disease Control and
Prevention, using State and Local Area Integrated Telephone Survey (SLAITS) technology.
Quality edits on the data included verification of the valid number of cases, assessment of the
range of permissible values, and assessment of missing values.
Measures
Table 1 includes the study variables and definitions. Additional explanation of the variables
of interested is discussed below.
Dependent Variable—Financial burden was measured as a yes/no response to the question
of whether the SHCN child’s health condition caused financial problems for the family.
Independent Variable—Health care expenditures were defined as any out-of-pocket
payments by the family for the medical care of the SHCN child. It included co-payments, dental
or vision care, medications, special foods, adaptive clothing, durable equipment, home
modifications, and any kind of therapy during the past 12 months. This did not include health
insurance premiums or costs that were reimbursed by insurance or another source. This was
measured as an ordered-categorical response from no expenses, less than $250, $250–$500,
$501–$1,000, $1,001–$5,000, to more than $5,000 annually.
Control Variables - Family Characteristic—Home care was measured as a yes/no
response to the question of whether the family provided any care to the child in the home such
as changing bandages, care of feeding or breathing equipment, and giving medications and
therapies. Family structure was defined as the parental structure of the family, and was
measured as the categorical response of two biological/adopted parents, two step parents,
mother only, or other structure. Income was derived from responses to the question of total
combined household income for the previous calendar year. Responses were used to create an
index of income relative to the Department of Health and Human Services Federal Poverty
Guidelines (FPL) by the National Center for Health Statistics. This was measured as an ordered-
categorical response from poor (<100% FPL), low income (100%–199% FPL), moderate
income (200%–399% FPL), and high income (>400% FPL).
Control Variables - Child Characteristics—Severity of health condition was defined as
the severity of the difficulties caused by the SHCN child’s health problems. Respondents were
asked to rate the severity of the health condition from minor, moderate, to severe. If a child
had more than one difficulty, the respondent was asked to rate the most severe difficulty rather
than trying to average severity across all difficulties. Health conditions were measured as
individual yes/no responses to a variety of health conditions that included asthma, attention
deficit disorder/attention deficit hyperactivity disorder, autism/autism spectrum disorder,
Downs syndrome, mental retardation/developmental delays, depression/anxiety/eating
disorders/emotional problems, diabetes, heart problems/congenital heart disease, blood
problems/anemia/sickle cell disease, cystic fibrosis, cerebral palsy, muscular dystrophy,
epilepsy/seizure disorders, migraines, and arthritis/joint problems. The health condition of
allergies was dropped from the model because of multicollinearity.
Lindley and Mark Page 4
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Data analysis
The primary question of interest was whether there was an association between SHCN child
health care expenditures and family perception of financial burden. For all analyses, data were
weighted to reflect the population of non-institutionalized CSHCN ages 0–17 years.
Descriptive statistics were obtained on health care expenditures along with other family and
child characteristics. Due to the binary nature of the financial burden variable, a multivariate
logistic (logit) regression model with robust standard errors was used to estimate the
relationship between the SHCN child’s health care expenditure and perceived financial burden,
while controlling for family and child characteristics. Additional logistic regressions were used
to explore how family income levels influenced the relationship between expenditures and
burden controlling for family and child characteristics. Logistic regression analyses are
presented in terms of adjusted odds ratios (ORs) and 95% confidence intervals (CIs). All
analyses are conducted using Stata 10.0 software (Statcorp LP, College Station Texas, 2007).
Results
Table 2 summarizes the characteristics of 18,135 children with SHCN and their families. Over
nineteen percent of the families perceived a financial burden associated the health condition
of their SHCN child. Almost a quarter of the families spent over $1000 annually on their child’s
medical care. Mothers completed the survey more often than fathers. A majority of families
lived in urban areas and were composed of two biological or adopted parents. More than half
the families were 200% of federal poverty level (FPL) or greater. English was the most common
language spoken in the home, and the highest education level in the household was on average
more than high school. Over 50% of the families reported that they did not provide home care,
need additional income, cut work hours, or stop working because of their child’s health
condition. A majority of children were male and almost 11 years old with approximately two
health conditions. Sixty-three percent of the children had private insurance only and 75% were
Caucasian.
Table 3 displays the coefficients and odds ratios (OR) for the estimated logistic regression
model of financial problems. Health care expenditures were positively associated with family
perception of financial burden. The odds ratios on $250–$500 (OR 2.48, p=.001), $501–$1000
(OR 3.21, p=.001), $1001–$5000 (OR 5.59, p=.001) and greater than $5000 (OR 8.84, p=.001)
were significantly and positively associated to family perception of financial burden. The odds
of perceiving financial burden increased from 2 times for expenditures of $250–$500 (OR 2.48,
p=.001) to almost 9 times for expenditures over $5000 (OR 8.84, p=.001) when compared to
$0 expenditures controlling for family and child characteristics. The odds ratio on less than
$250 (OR 1.23, p=.139) was not significant. This suggests that when family expenditures reach
$250 or higher families perceive financial burden.
Families with lower incomes perceived financial burden at lower level of health care
expenditures than families with higher income as displayed on Table 4. For poor and low
income families, the odds ratios on $250–$500, $501–$1000, $1001–$5000 and greater than
$5000 were significantly and positively associated to family perception of financial burden.
For moderate income families, $1001–$5000 and greater than $5000 were significantly and
positively associated to family perception of financial burden. For high income families,
expenditures greater than $5000 were significantly and positively associated to family
perception of financial burden. This suggests that as family income decreases, lower levels of
expenditures are associated with financial burden.
Several family characteristics were significantly associated with increased odds of family
financial burden. These included providing home care (OR 1.42, p=.001), parents stopping
work (OR 3.14, p=.001), cuts in parental working hours (OR 1.91, p=.001), the need for
Lindley and Mark Page 5
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
additional income (OR 7.74, p=.001), poor (OR 2.92, p=.001), low income FPL (OR 3.190,
p=.001), moderate income (OR 2.36, p=.001). However, when household education level was
less than high school, families had decreased odds of perceiving family financial burden (OR .
60, p=.004).
Child characteristics significantly associated with family financial burden were moderately
severe health conditions (OR 1.71, p=.001), severe health conditions (OR 2.87, p=.001)
emotional problems (OR 1.65, p=.001) heart problems (OR 1.57, p=.012), joint problems (OR
1.57, p=.008), and multi-racial ethnicity (OR 1.36, p=.044). Controlling for other factors, rural,
age, type of health conditions, number of health conditions, sex, insurance type, survey
respondent, family structure, household language, and black/other race had no significant
relationship with financial burden.
Discussion
Our analysis of the 2005/2006 National Survey of Children with Special Health Care Needs
data suggests that health care expenditures for a SHCN child of $250 and more are associated
with family perception of financial burden. Several studies have suggested that spending 10%
of family income on health care equated to financial burden (Emmanuel et al., 2000; Yu et al,
2008); however, our study found a relatively low level of expenditure associated with the onset
of financial burden, especially when compared to other household expenses like cell phones
($756 annually) or groceries ($8513 annually) (Entension, 2008; Fiercewireless, 2007). While
this expenditure amount may be relatively small in comparison to other household expenses,
families with SHCN may in fact be financially stretched because of many years of persistently
costly care resulting in lower expenditures causing the perceptions of problems (Himmelstein,
Warren, Thorne, & Woolhandler, 2005). Couple the amount of these expenditures with 2007
national trends in growing personal debt and decreased financial reserves such as savings, and
these families may lack adequate financial resources to support them in the care of a SHCN
child (Hoover, 2009; Kim, 2009).
We also found that whether or not the family perceived a financial burden depended on the
amount of financial resources the family had at its disposal. Those that did not have sufficient
resources from income perceived health care expenditures as a burden, whereas those with
adequate resources did not perceive a burden. Several studies have suggested that families of
low socioeconomic status have difficulties adjusting to and coping with stressors (Payne et al.,
2001). These low socioeconomic status families have demonstrated decreased adherence to
treatment and increased rates of anxiety and depression (Brownridge & Fielding, 1994;
Fielding & Brownridge, 1999). Our findings suggest that health care expenditures may act as
a family stressor, and that lower socioeconomic families may not have the skills and resources
to adequately cope with the cost of caring for a SHCN child.
There were other interesting findings from our analysis regarding family characteristics.
Families that experienced reduced financial resources because of lost income from either a cut
in work hours or having to stop work perceived greater financial burden, and often responded
that they needed additional income to cover medical expenditures. Meeting the fiscal demands
of health care expenditures with decreased financial resources may result in families selling
assets, taking out loans or mortgages, using savings, or seeking additional employment
(Emanuel, et al., 2000). Those families unable to meet the fiscal demands may find personal
bankruptcy the only remaining option (Himmelstein et al., 2005). Families may also be caught
in a Catch-22. Reestablishing financial well-being may be hindered by decreased employability
and loss of career advancement and mobility caused by being out of the work place for any
extended period to care for the child (Miedema et al., 2008).
Lindley and Mark Page 6
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Several of the findings about child characteristics are also worth noting. The severity of the
child’s health condition contributed significantly to the family’s perception of burden. The
more severe the child’s health condition, the higher the odds of the family perceiving financial
problems. This finding was congruent with those of others (Emmanuel et al., 2000; Kuhlthau
et al., 2005), suggesting that children with moderate to severe SHCN may require expensive
medications, medical supplies, and medical equipment (Miedema et al., 2008; Steele & Davies,
2006) which may not be fully covered by insurance and increase the family’s out-of-pocket
expenditures. Child health conditions such as emotional problems, heart problems, and joint
problems also influenced family perception of financial burden. This raises the question of
whether insurance is adequately covering these expenses. For example, in many private benefit
plans, mental health coverage for emotional problems is very limited (Martocchio, 2006).
While studies have investigated the importance of insurance coverage for SCHN children,
future research into specific benefit coverage levels would provide further insight into family
financial burden (Chen & Newacheck, 2006; Davidoff, 2004). We were also surprised that
most of the health conditions were not associated with perceived burden perhaps suggesting
that families do not always perceive their child’s health as a burden (Knafl, Brietmayer, Gallo,
& Zoller, 1996). As an example, families with diabetic children may have a thriving or
accommodating family management style that views the health condition as life-goes-on as
opposed to stressful and serious.
This study had several limitations. First, the cross-sectional nature of the survey does not allow
for causal conclusions to be drawn about the relationships between the variables. Second, the
data were respondent-reported and were estimates based on their recollection over the past 12
months. Therefore, reporting bias may be present. Third, there was no measure of actual family
income in the NS-CSHCN. Measures of income were derived from responses to the question
of total combined household income for the previous calendar year, and were used to create
an index of income relative to the Department of Health and Human Services Federal Poverty
Guidelines (FPL) by the National Center for Health Statistics. Thus, we were not able to
calculate the relative burden or expenditures as a percentage of income, only the absolute
burden (Shattuck & Parish, 2008).
The goal of this study was to improve our understanding of family financial burden by
examining the relationship between health care expenditures for SHCN children and family
financial burden. At a relatively low expenditure level, families perceived financial burden,
which increased as expenditures increased. In addition, families with lower socioeconomic
status also perceived financial burden at lower level of expenditures. We also found that based
on family and child factors, these families may not have adequate financial resources either
through income or insurance coverage to adequately manage the financial burden caused by
caring for their SHCN child. These families may need assistance with coping and adjusting to
the financial consequences of providing health care for their SHCN child (Witt-Sherman,
1998). Members of the care team who treat children with SHCN have an important role in
understanding and assessing family financial burden as part of the care delivery to the child
and the family. Our study reinforces the need to treat the whole family as the unit of care,
especially when caring for children with special health care needs.
Acknowledgments
This publication was made possible by Grant Number T32NR008856 from the National Institute of Nursing Research
(NINR). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of
the National Institute of Nursing Research, National Institutes of Health.
Lindley and Mark Page 7
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
References
Boulet S, Boyle C, Schieve L. Health Care Use and Health and Functional Impact of Developmental
Disabilities Among US Children, 1997–2005. Archives of Pediatric & Adolescent Medicine
2009;163:19–26.
Brownbridge G, Fielding D. Psychosocial adjustment and adherence to dialysis treatment regimes.
Pediatric Nephrology 1994;8:744–749. [PubMed: 7696117]
Buescher P, Brunnsen S, Whitmire J, Klutz-Hile C. Children who are medically fragile in North Carolina:
Using Medicaid data to estimate prevalence and medical care costs in 2004. Maternal Child Health
2006;10:461–466.
Buhse M. Assessment of caregiver burden in families of persons with multiple sclerosis. Journal of
Neuroscience Nursing 2008;40:25–31. [PubMed: 18330407]
Chen A, Newacheck P. Insurance coverage and financial burden for families of children with special
health care needs. Ambulatory Pediatrics 2006;6:204–209. [PubMed: 16843251]
Child and Adolescent Health Measurement Initiative. National Survey of Children with Special Health
Care Needs Indicator Data Set. Data Resource Center for Child and Adolescent Health; 2005–2006.
Davidoff A. Insurance for children with special health care needs: Patterns of coverage and burden on
families to provide adequate insurance. Pediatrics 2004;114:394–403. [PubMed: 15286222]
Emmanuel E, Fairclough D, Slutsman J, Emmanuel L. Understanding economic and other burdens of
terminal illness: The experience of patients and their caregivers. Annals of Internal Medicine
2000;132:451–459. [PubMed: 10733444]
Extension. Tips to help lower the grocery bill. 2008. Retrieved February 5, 2009, from
http://www.extension.org/pages/Tips_to_Help_Lower_the_Grocery_Bill
Fielding D, Brownbridge G. Factors related to psychosocial adjustment in children with end-stage renal
failure. Pediatric Nephrology 1999;13:766–770. [PubMed: 10603116]
Fiercewireless. J.D. Power and Associates Reports: Feature-Rich Wireless Mobile Phones Increase
Average Consumer Service Spending for Both Hands. 2007. Retrieved February 5, 2009 from
http://www.fiercewireless.com/press-releases/j-d-power-and-associates-reports-feature-rich-
wireless-mobile-phones-increase-average?utm_medium=nl&utm_source=internal
Fox H, McManus M, Reichman M. The Strengths and Weaknesses of Private Health Insurance Coverage
for Children with Special Health Care Needs. Maternal and Child Health Policy Research Center -
Issues Brief 2002:1–61.
Freidman D, Hilden J, Powaski K. Issues and challenges in palliative care for children with cancer. Current
Pain and Headache Reports 2005;4:249–255.
Heck KE, Makuc DM. Parental employment and health insurance coverage among school-aged children
with special health care needs. American Journal of Public Health 2000;90:1856–1860. [PubMed:
11111256]
Himelstein BP. Palliative care for infants, children, adolescents, and their families. Journal of Palliative
Medicine 2006;9:163–181. [PubMed: 16430356]
Himmelstein DU, Warren E, Thorne D, Woolhandler S. Illness and injury as contributors to bankruptcy.
Health Affairs, Suppl Web Exclusives 2005:W65-63–W65-73.
Hoover. Facts on Policy. 2009. Retrieved February 5, 2009 from
http://www.hoover.org/research/factsonpolicy/facts/4250756.html
Jeffrey A, Newacheck P. Role of insurance for children with special health needs: A synthesis of the
evidence. Pediatrics 2006;118:1027–1038.
Kim, K. Savings and Debt. 2009. Retrieved February 5, 2009 from
http://moneycentral.msn.com/content/SavingandDebt/P70581
Knafl K, Brietmayer B, Gallo A, Zoeller L. Family response to childhood chronic illness: Description of
management styles. Journal of Pediatric Nursing 1996;11:315–326. [PubMed: 8908900]
Knafl K, Zoeller L. Childhood chronic illness: a comparison of mothers’ and fathers’ experiences. Journal
of Family Nursing 2000;6:287–302.
Kristjanson L, Nikoletti S, Porock D, Smith M, Lobchuk M, Pedler P. Congruence between patients’ and
family caregivers’ perceptions of symptom distress in patients with terminal cancer. Journal of
Palliative Care 1998;14:24–32. [PubMed: 9770918]
Lindley and Mark Page 8
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Kuhlthau K, Hill K, Yucel R, Perrin J. Financial burden for families of children with special health care
needs. Maternal & Child Health Journal 2005;9:207–218. [PubMed: 15965627]
Kuhlthau K, Perrin J. Child health status and parental employment. Archives of Pediatric & Adolescent
Medicine 2001;155:1346–1350.
Martocchio, J. Employee Benefits. New York: McGraw-Hill; 2006.
McCubbin, I.; Patteron, J. The family stress process: The double ABCX model of adjustment and
adaption. In: Sussman, M., editor. Social Stress and the Family: Advances and Developments in
family Stress Theory and Research. Philadelphia: Haworth Press; 1983. p. 7-38.
McPherson M, Arango P, Fox H, Lauver C, McManus M, Newacheck P, et al. A new definition of children
with special health care needs. Pediatrics 1998;102:137–139. [PubMed: 9714637]
Miedema M, Easley J, Fortin P, Hamilton R, Mathews M. The economic impact on families when a child
is diagnosed with cancer. Current Oncology 2008;15:173–178. [PubMed: 18769610]
Montes G, Halterman J. Association of childhood autism spectrum disorders and loss of family income.
Pediatrics 2008;121:e821–e826. [PubMed: 18381511]
Newacheck P, Hughes D, Hung Y, Wong S, Stoddard J. The unmet health needs of America’s children.
Pediatrics 2000;105:989–997. [PubMed: 10742361]
Newacheck P, Inkelas M, Kim S. Health services use and health care expenditures for children with
disabilities. Pediatrics 2004;114:79–85. [PubMed: 15231911]
Newacheck P, Kim S. A national profile of health care utilization and expenditures for children with
special health care needs. Archives of Pediatric & Adolescent Medicine 2005;159:10–17.
Newacheck P, Strickland B, Shonkoff J, Perrin J, McPherson M, McManus M, Lauver C, Fox H, Arango
P. An epidemiologic profile of children with special health care needs. Pediatrics 1998;102:117–123.
[PubMed: 9651423]
Payne, R.; DeVol, P.; Smith, T. Aha! Process. Highlands, TX: 2001. Bridges Out of Poverty.
Shattuck P, Parish S. Financial burden in families of children with special health care needs: Variability
among states. Pediatrics 2008;122:13–18. [PubMed: 18595981]
Shenkman E, Knapp C, Sappington D, Vogel B, Schatz D. Persistence of high health care expenditures
among children in Medicaid. Medical Care Research and Review 2007;64:304–330. [PubMed:
17507460]
Steele R, Davies B. Impact on parents when a child has a progressive, life-threatening illness. International
Journal of Palliative Nursing 2006;12:576–585. [PubMed: 17353843]
Skinner A, Slifkin R. Rural/urban differences in barriers to and burden of care for children with special
health care needs. Children & Youth 2007;23:150–157.
Witt-Sherman D. Reciprocal suffering: The need to improve family caregivers’ quality of life through
palliative care. Journal of Palliative Medicine 1998;1:357–366. [PubMed: 15859854]
Vickers J, Carlisle C. Choices and control: parental experiences in pediatric terminal home care. Journal
of Pediatric Oncology Nursing 2000;17:12–21. [PubMed: 10676066]
Yu H, Dick A, Szilagyi P. Does public insurance provide better financial protection against rising health
care costs for families of children with special health care need? Medical Care 2008;46:1064–1070.
[PubMed: 18815528]
Lindley and Mark Page 9
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Figure 1.
Conceptual Model of Family Financial Burden
Lindley and Mark Page 10
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Lindley and Mark Page 11
Table 1
Variable Definitions
Variable Definition
Health Care Expenditures Any out-of-pocket payments for child’s health-related needs.
Family Characteristics
MSA Families reside in a rural or urban setting. (MSA 500,000 threshold)
Home care Families provided health care at home.
Stopped work Family member stopped working because of child’s health condition.
Cut work hours Family member had to cut down on work hours because of child’shealth condition.
Need additional income Family needed additional income to cover child’s medical expenses.
Family structure Parental composition of family.
Household education The highest level of school that anyone in the household completed or the highest degree anyone in the household
received. (derived)
Income Imputed poverty status of child’s household. (derived)
Household language The primary language spoken in the home.
Child Characteristics
Age Age of child under the age of 18.
# of health conditions Number of health conditions of the child.
Severity A rating of the difficulties caused by child’s health condition.
Survey respondent Relationship of survey respondent to child. (derived)
Health conditions Child’s health conditions.
Insurance type Child’s type of health insurance coverage at interview.
Sex Gender of the child.
Race Ethnicity of the child. (derived).
Financial Burden Whether child’s condition caused financial problems for the family.
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Lindley and Mark Page 12
Table 2
Family and child demographic characteristics of study sample
Variable N %
Financial Burden
No 14562 80.3%
Yes 3573 19.7%
Health Care Expenditures
No expenditures 3736 20.6%
<$250 3681 20.3%
$250–$500 4443 24.5%
$501–$1000 2412 13.3%
$1001–$5000 3264 18.0%
>$5000 598 3.3%
MSA
Urban 15016 82.8%
Rural 3119 17.2%
Home Care
No 9485 52.3%
Yes 8650 47.7%
Stopped Work
No 15505 85.5%
Yes 2639 14.6%
Cut Work Hours
No 14925 82.3%
Yes 3210 17.7%
Need Additional Income
No 14907 82.2%
Yes 3228 17.8%
Family Structure
2 biological/adopted parents 9412 51.9%
2 step parents 2031 11.2%
Mother only 5785 31.9%
Other family structure 907 5.0%
Household Education
< High school 1215 6.7%
High school 4262 23.5%
> High school 12658 69.8%
Income
Poor (<100% FPL) 3627 20.0%
Low income (100–199% FPL) 4135 22.8%
Moderate income (200–399% FPL) 5441 30.0%
High income (>400% FPL) 4915 27.1%
Household Language
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Lindley and Mark Page 13
Variable N %
English 17373 95.8%
Non-english 762 4.2%
Severity
Minor 9557 52.7%
Moderate 6909 38.1%
Severe 1688 9.2%
Survey respondent
Mother 15179 83.7%
Father 2448 13.5%
Other family member 508 2.8%
Health conditions
Asthma 7943 43.8%
Attention deficit disorder 6003 33.1%
Autism 1016 5.6%
Downs syndrome 199 1.1%
Mental retardation 2231 12.3%
Emotional problems 4280 23.6%
Diabetes 236 1.3%
Heart problems 617 3.4%
Blood problems 472 2.6%
Cystic fibrosis 54 0.3%
Cerebral palsy 363 2.0%
Muscular dystrophy 54 0.3%
Seizures 598 3.3%
Migraines 3210 17.7%
Joint problems 9575 52.8%
Insurance type
Private only 10645 58.7%
Public only 5096 28.1%
Private/public 1433 7.9%
Other insurance 326 1.8%
Sex
Male 10954 60.4%
Female 7181 39.6%
Race
White only 12803 70.6%
Black only 3192 17.6%
Multi-race 725 4.0%
Other race 1415 7.8%
Note: N=18135.
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Lindley and Mark Page 14
Table 3
Logistic regression estimating family financial burden
Variable βSE Odds ratio 95% Confidence Interval
Health Care Expenditures
No expenditures 0.00 1.00
<$250 0.21 (.14) 1.23 (0.95–1.61)
$250–$500 0.91** (.14) 2.48** (1.89–3.28)
$501–$1000 1.17** (.15) 3.21** (2.40–4.31)
$1001–$5000 1.72** (.15) 5.59** (4.18–7.46)
>$5000 2.17** (.19) 8.84** (6.08–12.85)
MSA
Urban 0.00 1.00
Rural 0.14 (.08) 1.15 (0.97–1.36)
Home Care
No 0.00 1.00
Yes 0.36** (.08) 1.43** (1.23–1.66)
Stopped Work
No 0.00 1.00
Yes 1.14** (.10) 3.14** (2.61–3.78)
Cut Work Hours
No 0.00 1.00
Yes 0.65** (.09) 1.91** (1.61–2.26)
Need Additional Income
No 0.00 1.00
Yes 2.05** (.08) 7.74** (6.61–9.07)
Family Structure
2 biological/adopted parents 0.00 1.00
2 step parents 0.18 (.12) 0.84 (0.67–1.05)
Mother only 0.16 (.09) 1.17 (0.98–1.40)
Other family structure 0.08 (.19) 1.08 (0.75–1.56)
Household Education
< High school 0.51** (.18) 0.60** (0.42–0.85)
High school 0.17 (.10) 0.85 (0.69–1.03)
> High school 0.00 1.00
Income
Poor (<100% FPL) 1.07** (.16) 2.92** (2.14–3.99)
Low income (100–199% FPL) 1.16** (.12) 3.19** (2.50–4.07)
Moderate income (200–399% FPL) 0.86** (.10) 2.36** (1.95–2.86)
High income (>400% FPL) 0.00 1.00
Household Language
English 0.00 1.00
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Lindley and Mark Page 15
Variable βSE Odds ratio 95% Confidence Interval
Non-english 0.08 (.22) 1.08) (0.71–1.65)
Age 0.01 (.01) 1.01 (1.00–1.03)
Number health conditions 0.10 (.08) 0.97 (0.78–1.05)
Severity
Minor 0.00 1.00
Moderate 0.54** (.08) 1.71** (1.46–2.01)
Severe 1.05** (.13) 2.87** (2.21–3.73)
Survey Respondent
Mother 0.00 1.00
Father 0.10 (.11) 0.90 (0.73–1.12)
Other family member 0.38 (.24) 0.69 (0.43–1.11)
Health Conditions
Asthma 0.19 (.13) 1.21 (0.94–1.56)
Attention deficit disorder 0.07 (.11) 1.07 (0.85–1.34)
Autism 0.13 (.16) 1.14 (0.83–1.56)
Downs syndrome 0.17 (.32) 1.89 (0.64–2.21)
Mental retardation 0.02 (.15) 0.98 (0.74–1.31)
Emotional problems 0.50** (.11) 1.65** (1.32–2.09)
Diabetes 0.51 (.28) 1.67 (0.96–3.47)
Heart problems 0.45*(.18) 1.57*(1.10–2.22)
Blood problems 0.33 (.26) 1.38 (0.82–2.32)
Cystic fibrosis 0.30 (.46) 1.35 (0.55–3.33)
Cerebral palsy 0.22 (.25) 0.80 (0.49–1.31)
Muscular dystrophy 0.17 (.46) 0.84 (0.34–2.07)
Seizures 0.32 (.20) 1.37 (0.92–2.03)
Migraines 0.23 (.13) 1.26 (0.99–1.62)
Joint problems 0.45** (.17) 1.57** (1.12–2.20)
Insurance Type
Private only 0.00 1.00
Public only 0.10 (.13) 1.10 (0.85–1.42)
Private/public 0.01 (.15) 1.00 (0.75–1.33)
Other insurance 0.33 (.24) 1.39 (0.87–2.23)
Sex
Male 0.00 1.00
Female 0.11 (.07) 0.89 (0.77–1.04)
Race
White only 0.00 1.00
Black only 0.13 (.12) 0.88 (0.70–1.11)
Multi-race 0.31*(.15) 1.36*(1.01–1.84)
Other race 0.03 (.16) 1.03 (0.76–1.41)
Note: N=18135.
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Lindley and Mark Page 16
*p<.05
**p<.01
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
Lindley and Mark Page 17
Table 4
Logistic regression estimating family financial burden by income status
Variable Overall Model O.R. (95% CI) Poor O.R. (95% CI) Low Income O.R. (95% CI) Moderate Income O.R. (95% CI) High Income O.R. (95% CI)
No expenditures 1.00 1.00 1.00 1.00 1.00
<$250 1.23 (.95–1.61) 1.24 (.82–1.87) 1.41 (.90–2.21) 0.75 (.41–1.38) 0.76 (.28–2.05)
$250–$500 2.48** (1.89–3.28) 4.05** (2.64–6.21) 2.59** (1.64–4.06) 1.41 (.79–2.52) 0.89 (.35–2.23)
$501–$1000 3.21** (2.40–4.31) 5.13** (2.81–9.37) 3.39** (2.03–5.64) 1.97 (1.12–3.44) 1.35 (.56–3.28)
$1001–5000 5.59** (4.18–7.46) 5.78** (3.20–10.47) 5.73** (3.40–9.66) 3.81** (2.22–6.55) 2.12 (.89–5.06)
>$5000 8.84** (6.08–12.85) 4.42* (1.03–19.94) 8.22** (3.21–21.03) 7.18** (3.58–14.42) 3.43** (1.38–8.54)
Note: N=18135.
*p<.05
**p<.01
J Child Fam Stud. Author manuscript; available in PMC 2011 February 1.
... Finally, approximately 50% of families with a child with SHCN face financial burden due to additional services required to care for their child (Ghandour et al., 2014). Examples include expensive prescriptions, dental services, and home healthcare not covered by health insurance; increased electricity, heating, and water bills; and special clothing, equipment, and food (Lindley & Mark, 2010;Looman et al., 2009). Within these families, health insurance premiums cost $2058 to $3593 more than families without a child with SHCN (Lindley & Mark, 2010). ...
... Examples include expensive prescriptions, dental services, and home healthcare not covered by health insurance; increased electricity, heating, and water bills; and special clothing, equipment, and food (Lindley & Mark, 2010;Looman et al., 2009). Within these families, health insurance premiums cost $2058 to $3593 more than families without a child with SHCN (Lindley & Mark, 2010). They also spend $2669 to $69,906 on annual out-of-pocket medical expenses compared to $679 to $3181 in families with non-SHCN children (Lindley & Mark, 2010). ...
... Within these families, health insurance premiums cost $2058 to $3593 more than families without a child with SHCN (Lindley & Mark, 2010). They also spend $2669 to $69,906 on annual out-of-pocket medical expenses compared to $679 to $3181 in families with non-SHCN children (Lindley & Mark, 2010). Financial problems are more typical within families with a child with SHCN who are living in poverty, without full health insurance, and with a child whose healthcare needs are more severe (Schuster et al., 2009). ...
Article
Full-text available
The purpose of the current study was to examine the relationships between organizational work-family culture, caregiver burden, and work-life balance among employed caregivers of children with special healthcare needs. The potential moderating role of organizational work-family culture in the relationship between caregiver burden and work-life balance was also investigated. Using convenience sampling, data were collected from 150 primary caregivers who work or recently worked in the past three months and have at least one child with a special healthcare need. Participants completed an online survey. Findings revealed increasing caregiver burden was related to lower work-life balance, while organizational work-family culture was positively related to it. Organizational work-family culture, and two of its three facets (i.e., managerial support and time demands), were significant moderators, but only before COVID-19. Future researchers could focus on underrepresented groups and communities, examine organizational work-family culture in various industries, and improve work-life balance during social and economic downturns. With increases in dual earner and single parent households, employers should consider how their culture supports employees with households with a child with special healthcare needs. This is the first study to apply organizational work-family culture to employed caregivers with a child with special healthcare needs and test it as a moderator of the relationship between caregiver burden and work-life balance.
... As its name indicates, special needs children often require special services or resources beyond the scope of ordinary care. A plethora of literature concerning caregiver quality of life focuses on the availability of resources and utilization of services (which are not always feasible) as expenditures can sometimes be well above and outside the caregivers' financial means [72,73]. Psychological stress is more likely to occur if the child requires considerable social, financial, and health care resources [74]. ...
... Because income may provide access to resources, or reduce stress in other ways, it is likely to affect caregiver stress when dealing with a child with special needs, which in turn is likely to impact caregiver quality of life. Recent research conducted by Lindley and Mark [73] confirmed this relationship in their findings which revealed those who do not have sufficient resources perceive health care expenses as a burden which leads to a negative impact on the caregivers' quality of life. ...
Article
Full-text available
Several studies have addressed the demands placed on caregivers and how these demands increase stress and impact the caregiver’s quality of life. In order to assess influential factors of quality of life through scholarly research, additional factors can be further explored and narrowed to pinpoint the specifics through which quality of life is affected. Because of individual differences, it would be virtually impossible to identify each and every contingency affecting one’s well-being. However, by scrutinizing factors that are known, the quest to assess the when and for whom is a legitimate and logical next step in this endeavor. Databases used in this search included ProQuest, EbscoHost, Medline, Mental Measurements Yearbooks, and additional websites and books relevant to caregiver stress, perception of parenthood, and quality of life. Keywords used in the search included caregiver stress, parental caregiver stress, quality of life, caregiver quality of life, perception, perception of parenthood, life satisfaction, and parenting. To illustrate what is currently known, the following areas were critically reviewed: stress, caregiver stress, the role of other family members, income and utilization of community resources, perception of parenthood, and quality of life.
... CSHCN's pathophysiology involves diverse underlying conditions, disrupting normal physiological processes and impacting organ systems. Influenced by genetic, environmental, and biological factors, the affected children may have altered immune responses, neurological abnormalities, and impaired growth [6]. Conditions like neuromuscular disorders necessitate interventions such as continuous positive airway pressure (CPAP) to address compromised respiratory function, optimize oxygen exchange, alleviate respiratory distress, and promote respiratory health [7][8][9]. ...
... Several studies have focused on identifying determinants of health expenditure, including Ke et al. (2011), which suggests that health expenditure generally does not grow faster than gross domestic product, with an income elasticity between 0.75 and 0.95. Another study by Lindley and Mark (2010) proposes that life expectancy is a factor that determines health and hospital costs. ...
Article
Full-text available
This paper aims to examine the determinants of life insurance consumption in 30 OECD countries using panel data from 1996 to 2020. This study uses GDP per capita, Life expectancy, Urbanization, School education, and Health expenditure as the determinants to measure the OECD countries’ life insurance consumption. Insurance density is used as a proxy for life insurance consumption. Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and causality tests are applied in this study. Our empirical results revealed that the variables urbanization, school education, and GDP per capita significantly impact life insurance consumption, whereas life expectancy and health expenditure were found to have an insignificant relationship in estimating life insurance consumption. These findings will help all insurance industry stakeholders in OECD countries in policy formulation and decision making.
... Despite that FB has been studied in patients and caregivers [2,4], its definition is not clear yet [5]. The FB is typically described as one's perceptions of the financial strain (i.e., the subjective pressures) and stress (i.e., objective economic challenges) [6,7]. To our knowledge, no Italian studies examined the FB experienced by families of NICU graduate infants both during hospitalization and after discharge. ...
Article
Full-text available
To investigate a broad array of costs and perceived financial burden (FB) faced by families of NICU graduates both during hospitalization and after discharge. Cross-sectional survey-based study design. A survey measuring socio-demographics, direct non-medical costs, indirect costs, social support and perceived FB was developed. One-hundred-twenty-two pairs of parents of NICU graduates participated in the study. Most of the families (87.7%) experienced FB due to NICU hospitalization. The median cost of visiting infant during NICU admission was 615 euros (range: 42,7320). FB correlated with cost for drugs (ρ = .271, p < .05, 95%CI:[.020, .490]), dietary supplement (ρ = .385, p < .05, CI:[.010, .665]), behavioral disorders (ρ = −.186, p < .05, 95%CI:[−.356, −.003]), language delay (ρ = .243, p < .01, CI:[−.408, −.063]) and comorbidities (ρ = −.206, p < .05, 95% CI:[−.374, −.024]). Transportation costs due to medical visits (ρ = .415, p < .01, 95% CI:[.239, .564]) and therapy sessions (ρ = .517, p < .05, CI:[.121, .771]) correlated with higher FB. Grandparents of the infant were the most frequent source of help (86.1%). Families having infants with adverse outcome experienced more hospitalizations after NICU discharge (p < .05) and higher FB (p < .01) than families with typically developing infant. Lack of government financial help was associated with higher perceived FB (CI:[1.117,29.127], p < .05). Conclusions: Our findings demonstrated that parents of NICU graduates experience high rates of FB, highlighting their sources (e.g., grandparents support) and difficulties (e.g., private therapy costs) through the lens of patient perspective. Our study promotes reflection on policies which should be adopted from the European health services that are similar to the Italian one to support NICU graduate families and reduce inequalities.
... This implied that older adults with low household income may be more affected by their typologies of dependency. Household income was positively associated with greater health awareness [49], lower household financial burden [50], and larger social networks [51], suggesting advantages of receiving both formal and informal care. A case study in China found that older adults with sufficient or more financial means were more likely to exhibit a low/high need-high use pattern [52], which might lead to generally high utilization of LTC among older adults with different typologies of dependency. ...
Article
Full-text available
Background A comprehensive understanding of subgroups of community-dwelling older adults and their long-term care (LTC) utilization can help to promote equality in the long-term services and support system. Dependency and household characteristics were found to affect the LTC utilization of homebound older adults. However, few studies considered the typologies of dependency of older populations according to co-occurring limitations, and little is known about differences in LTC use among elderly of typologies of dependency under distinct household conditions. Methods We aimed to identify typologies of dependency of older adults living at home and explore the disparities in formal care and informal care use among typologies of dependency by income and living situation. In this cross-sectional study, we used the public long-term care insurance (LTCI) database of Yiwu, Zhejiang Province, China, and included 1675 individuals aged ≥ 60 years living at home. Cluster analysis was conducted to determine typologies of dependency among older adults. A two-step multilevel analysis was used to examine disparities in formal and informal care use related to household income and living status among typologies of dependency. Results Seven dependency clusters were identified. Pro-wealthy inequalities in both formal and informal care use were found in the least dependent cluster and the limited-locomotion cluster. Pro-poor inequalities in formal care use were found in the fully dependent cluster without impaired vision and the cluster with intact continence and vision. Living with family members was positively associated with receiving formal care for the fully dependent cluster. Older adults in most clusters were more likely to use informal care when living with family members, except for the least dependent cluster and the limited-locomotion cluster. Conclusions Our findings suggest that household inequalities in LTC use varied among typologies of dependency of older adults, which may provide insights for researchers and policymakers to develop tailored LTC and targeted LTCI programs for older adults living at home and their family caregivers, considering both typologies of dependency and household characteristics.
... It is common for mothers to give up work to care for the child, receive carer giver's benefits, and have these years included in the employment period. Research shows that families with lower socio-economic status experience higher financial burden and that the average burden of caregivers of chronically ill children and young people varies significantly in terms of their education as well as professional and material status [10,36,37]. Zatorska-Zoła showed that as many as 37% of the parents feel a great financial burden associated with the treatment of the child, and 46.4% families reported moderate to severe financial losses [8,38]. ...
Article
Full-text available
Background Treatment of type 1 diabetes is a process involving not only sick children, but also their caregivers. Aim To assess the burden of care and sense of loneliness in caregivers of children with type 1 diabetes. Also, an analysis was conducted of the connection between sociodemographic factors characterizing caregivers and the clinical factors characterizing sick children and between the burden of care and the sense of loneliness. Materials and methods The study included 125 caregivers of children with type 1 diabetes. In order to collect the research data, the Caregiver Burden Scale and the Revised UCLA Loneliness Scale were used. Results In the research group, the total result in the caregiving burden scale was 2.14, which remains within the average burden level. Caregivers showed the highest burden level in the General Strain Subscale. The analysis showed that mothers experience a greater burden of care than fathers in the General Strain Subscale and that caregivers of younger children are more burdened with care within the Isolation and Disappointment Subscales. Moderate high degree of loneliness was shown in 4.8% of caregivers. A higher burden of care for caregivers of children with type 1 diabetes is accompanied by a higher sense of loneliness. Conclusions The results of this study may help healthcare professionals plan a holistic, family-centered care program that will take into account factors that increase the burden of care: younger age of the affected child, motherhood, caregiver unemployment, feelings of loneliness, lower education, caregiver unemployment, blood glucose meter measurements, and frequent night-time blood glucose measurements.
Article
Purpose Caring for a child or youth with special health care needs (CYSHCN) can be overwhelming. Parents and caregivers may experience psychosocial distress, such as depression, frustration, and hopelessness. The purpose of the current study was to gain further insight into families' perspectives on the psychosocial impacts of caring for CYSHCN to identify gaps in health care systems and strengthen systems of support. Method A qualitative descriptive design was used in 16 parents and caregivers. Colaizzi's method of analysis and semi-structured interviews were used. Results Six themes emerged from this study: (1) Stigma and Isolation , (2) Religion as a Coping Mechanism , (3) Financial Challenges , (4) Bearing the Burden , (5) Familial Denial , and (6) System-Related Concerns . Conclusion Psychiatric–mental health nurses (PMHNs) are in a pivotal position to use their knowledge, skills, and experiences to guide families. PMHNs can also engage communities and enhance mental health promotion to break the stigma associated with having a CYSHCN. [ Journal of Psychosocial Nursing and Mental Health Services, xx (xx), xx–xx.]
Article
Full-text available
Objectives Social prescribing (SP) is a non-medical intervention in which professionals refer patients to a link worker (LW), who connects them with appropriate support. Children and young people (CYP) with neurodisability often have unmet needs and may bypass community initiatives. We undertook a review of hospital-initiated SP for CYP with neurodisability. Design Systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance and using Mixed Methods Appraisal Tool. Data sources Medline, PsycINFO, PsycARTICLES, Embase, CINAHL, Scopus, Web of Science and FutureNHS, searched from 1 January 2000 to 19 October 2023, with no language restrictions. Eligibility criteria Studies describing SP interventions for CYP (ages 0–25 years) with neurodisability/neurodivergence. Exclusions: interventions outside of secondary care; with no description; or no LW. Data extraction and synthesis Two researchers independently screened references. Data were charted, summarised, quality assessments performed and narratively reviewed. Results After removal of duplicates, 518 references were identified. Following screening, eight articles (covering five SP schemes) were included. Rahi et al connected 68 families of CYP newly diagnosed with visual impairment to a community LW. Families needed information about social and educational services, and emotional support. Healthcare professionals had more time for clinical issues. Six papers described three different digital interventions supporting in total 86 CYP with traumatic brain injury and their families. Wade et al (2004, 2005a, 2005b) provided a website with core and individualised sessions, and weekly therapist support. Wade et al (2018) provided a smartphone application, website and weekly meetings with an online coach. These interventions boosted social behaviours. Wade et al (2014, 2015) found that online family problem-solving therapy improved overall child functioning compared with self-guided resources. Toutain et al (2009) provided non-medical support to 11 children with fetal alcohol syndrome and their mothers. No outcome data were provided. Studies reported benefits to health, well-being, healthcare usage, knowledge, skills, satisfaction and service delivery. Conclusion Literature describing hospital-initiated SP schemes for CYP with neurodisability, while sparse, suggests potential benefit. PROSPERO registration number CRD42022384188.
Article
Background: Terminal illness imposes substantial burdens-economic and otherwise-on patients and caregivers. The cause of these burdens is not understood. Objective: To determine the mechanism for economic and noneconomic burdens of terminal illness and to identify potential ameliorating interventions. Design: In-person interviews of terminally ill patients and their caregivers. Setting: Six randomly selected U.S. sites: Worcester, Massachusetts; St. Louis, Missouri; Tucson, Arizona; Birmingham, Alabama; Brooklyn, New York; and Mesa County, Colorado. Participants: 988 terminally ill patients and 893 caregivers. Measurements: Needs for transportation, nursing care, homemaking, and personal care; subjective perception of economic burden; expenditure of more than 10% of household income on health care costs; caregiver depression and sense of interference with his or her life; and patient consideration of euthanasia or physician-assisted suicide. Results: Of all patients, 34.7% had substantial care needs. Patients who had substantial care needs were more likely to report that they had a subjective sense of economic burden (44.9% compared with 35.3%; difference, 9.6 percentage points [95% Cl, 3.1 to 16.1]; P = 0.005); that 10% of their household income was spent on health care (28.0% compared with 17.0%; difference, 11.0 percentage points [Cl, 4.8 to 17.1]; P ≤ 0.001); and that they or their families had to take out a loan or mortgage, spend their savings, or obtain an additional job (16.3% compared with 10.2%; difference, 6.1 percentage points [Cl, 1.4 to 10.6]; P = 0.004). Patients with substantial care needs were more likely to consider euthanasia or physician-assisted suicide (P = 0.001). Caregivers of these patients were more likely to have depressive symptoms (31.4% compared with 24.8%; difference, 6.6 percentage points [Cl, 0.4 to 12.8]; P = 0.01) and to report that caring for the patients interfered with their lives (35.6% compared with 24.3%; difference, 11.3 percentage points [Cl, 5.0 to 17.7]; P = 0.001). Caregivers of patients whose physicians listened to patients' and caregivers' needs had fewer burdens. Conclusions: Substantial care needs are an important cause of the economic and other burdens imposed by terminal illness. Through empathy, physicians may be able to ameliorate some of these burdens.
Article
Despite a growing emphasis on gender differences in parental response to childhood illness and disability, relatively few studies have compared how mothers and fathers adapt to having an ill child. This article explores how mothers and fathers of a child with a chronic illness viewed their experience and its impact on family life. Within families, parents typically had a shared view of the experience and its impact on their life as reflected in both the qualitative interview data and quantitative measures of family and individual functioning. In the minority of cases where parents held discrepant views, it was the mother who emphasized the negative aspects of the chronic illness situation. The results of this analysis support the growing emphasis among family researchers on exploring family strengths in the face of illness challenges and collecting data from multiple family members.
Article
Based on family members' subjective accounts of the illness experience, this study identifies unique styles of family response to childhood chronic illness. Drawing on principles of triangulation, the investigators collected data longitudinally from multiple family members (ill child, parents, well sibling) in 63 families using structured and unstructured data collection techniques. In all families there was a school-age child with a chronic illness. Five family management styles (FMSs) were identified. Each is made up of a distinct configuration of qualitative themes. Across the five FMSs, the configurations reflect differences in the following major aspects of the chronic illness experience: definition of the illness experience, management goals and approach, and illness consequences. The five FMSs (thriving, accomodating, enduring, struggling, and floundering) represent a continuum of difficulty families experience in managing a child's chronic illness. The FMSs also contribute to understanding the underlying processes associated with differing outcomes for families and their individual members when a child has a chronic illness.
Article
To examine the barriers and difficulties experienced by rural families of children with special health care needs (CSHCN) in caring for their children. The National Survey of Children with Special Health Care Needs was used to examine rural-urban differences in types of providers used, reasons CSHCN had unmet health care needs, insurance and financial difficulties encountered, and the family burden of providing the child's medical care. We present both unadjusted and adjusted results to allow consideration of the causes of rural-urban differences. Rural CSHCN are less likely to be seen by a pediatrician than urban children. They are more likely to have unmet health care needs due to transportation difficulties or because care was not available in the area; there were minimal other differences in barriers to care. Families of rural CSHCN are more likely to report financial difficulties associated with their children's medical needs and more likely to provide care at home for their children. Examining results from both unadjusted and adjusted odds ratios shows that the burden of care for families of rural CSHCN stems both from socioeconomic differences and health system differences. Policies aimed at achieving equity for rural children will require focusing on both individual factors and the health care infrastructure, including increasing insurance coverage to lessen financial difficulties and addressing the availability of providers in rural areas.
Article
To present nationally representative estimates of health-related limitations, needs, and service use among US children with and without developmental disabilities (DDs). Retrospective analysis of data from a sample of US households from the 1997-2005 National Health Interview Surveys. Children aged 3 to 17 years (n = 95 132). Parents or other knowledgeable adults reported on their children's DDs, health needs, and use of health and education services. Developmental disabilities included attention-deficit/hyperactivity disorder, autism, blindness, cerebral palsy, deaf/a lot of trouble hearing, learning disability, mental retardation, seizures, stuttering/stammering, and other developmental delay. Among children with 1 or more DDs, prevalence estimates for limitations in movement (6.1%), needed help with personal care (3.2%), needed special equipment (3.5%), received home health care (1.4%), and regularly took prescription medication(s) (37.5%) were 4 to 32 times higher than for children without DDs. Children with DDs were 2 to 8 times as likely to have had more than 9 health care visits (14.9%), received special education (38.8%), had a surgical or medical procedure (7.5%), and recently visited a medical specialist (23.9%), mental health professional (26.6%), therapist/allied health professional (19.6%), and/or emergency department (10.3%). Effects were generally stable during the study interval and independent of age, race, sex, and family income. Cerebral palsy, autism, mental retardation, blindness, and deafness/a lot of trouble hearing were associated with the highest levels of health and functional impact indicators. Developmental disabilities profoundly affect children's health and functioning. These data can inform evidence-based targeted prevention strategies for minimizing functional limitations and lifetime disability. Additional study of unmet needs and access to care is needed.