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. Author manuscript; available in PMC: 2015 Mar 1.
Published in final edited form as: Qual Life Res. 2013 Aug 23;23(2):719–731. doi: 10.1007/s11136-013-0509-3

Assessment of health-related quality of life 6 years after childhood cochlear implantation

Rachel L Meserole 1, Christine M Carson 2, Anne W Riley 3, Nae-Yuh Wang 4,5, Alexandra L Quittner 6, Laurie S Eisenberg 7, Emily A Tobey 8, Howard W Francis 1, John K Niparko 2,9
PMCID: PMC3948324  NIHMSID: NIHMS527886  PMID: 23975382

Abstract

PURPOSE

To examine the impact of cochlear implant (CI) intervention on health-related quality of life (HRQOL) assessed by both self- and parent-reported measures.

METHODS

In this national study of children implanted between ages 6 months and 5 years, HRQOL of 129 children 6-year post-CI was compared to 62 internal study (NH1) and 185 external (NH2) samples of hearing children frequency-matched to the CI group on sociodemographic variables. HRQOL ratings of children and their parents in each group, measured using the Child Health and Illness Profile-Child Edition, were compared, and their associations with the Family Stress Scale were investigated.

RESULTS

CI children reported overall and domain-specific HRQOL that was comparable to both NH1 and NH2 peers. CI parents reported worse child scores than NH1 parents in Achievement, Resilience, and Global score (p's < 0.01) but similar or better scores than socioeconomically comparable NH2 parents. Higher family stress was negatively associated with all parent-reported HRQOL outcomes (p's < 0.01). Parent-child correlations in HRQOL global scores trended higher in CI recipients (r = 0.50) than NH1 (r = 0.42) and NH2 (r = 0.35) controls.

CONCLUSIONS

CI recipients report HRQOL comparable to NH peers. These results, from both child and parent perspective, lend support to the effectiveness of CI intervention in mitigating the impact of early childhood deafness. Family stress was associated with worse HRQOL, underscoring a potential therapeutic target. Parent-child agreement in HRQOL scores was higher for CI families than NH families, which may reflect higher caregiver insight and involvement related to the CI intervention.

Keywords: cochlear implants, pediatrics, health-related quality of life, family stress

BACKGROUND

Given the large role spoken language plays in overall development, it is not surprising that hearing loss poses a substantial risk for language deficits and concomitant risks to health and well-being[18]. Severe-to-profound deafness is associated with measurable deficits in health-related quality of life (HRQOL), reflecting the broad effects of hearing loss and consequent effects on language learning[9], social and emotional functioning[6,7], and academic performance[10,11]. Measures of HRQOL have been used to investigate patients’ relative satisfaction with their general health, complementing clinical assessments by emphasizing different aspects of well-being[1214].

Studies of cochlear implantation typically focus on clinical measures of efficacy related to communication development (e.g., auditory skills, speech, language), which do not represent the intervention’s effects on global functioning[11]. HRQOL measures provide a key assessment of the impact of cochlear implants (CIs) on everyday well-being, including physical health, emotional health, academic success, and social functioning. Self-report is central to the concept of HRQOL[15]. Children have been shown to reliably report their HRQOL, and these outcomes are strongly associated with social adjustment[16], engagement in school activities[17], and use of rehabilitative services[18,19].

The importance of HRQOL measurements in efficacy determinations has been emphasized, for example, in FDA assessments of medications and devices[15,20]. However, prior work has often relied on parent proxy results only and/or retrospective data. Using prospective data and refining the application of HRQOL measures to CI recipients provides greater understanding of factors influencing long-term CI outcomes, including overall health.

Standardized, self-report measures offer the best method of assessing HRQOL in children[16,21,22]. Obtaining self-reported HRQOL from children as young as four years old is feasible, for example, as collected in a study of CI recipients using an interview version of the KINDL(R)[2224]. Child and parent reports of HRQOL correlate moderately in the general pediatric population, particularly in observable domains like physical functioning[25,26], while parent-child agreement is higher for chronically ill children[27]. Parents are limited, however, in their ability to report on unobservable areas of functioning, such as emotional distress and self-esteem[26]. Both self- and parent-reported measures thus provide valuable information about the state of a child’s health[2831].

Self and parent reports of HRQOL for CI recipients have yielded mixed results. A study by Edwards et al. (n=89)[32] using parent-reported HRQOL found poorer HRQOL in CI children than normal hearing (NH) peers. A small study (n=44) by Huber et al.[4] found lower (worse) child-reported HRQOL for children ages 8–12 years with at least 3 years of CI experience than for NH peers but no difference for CI and NH adolescents ages 13–16. Parent-reported HRQOL did not differ between CI and NH groups for either age range, and correlations between child and parent reports were weak. In contrast, other investigators[33] found no difference in total HRQOL between CI recipients aged 8–16 years (n=88) and their NH peers, as reported by both children and parents, among participants recruited in a non-generalizable setting (summer camps for CI recipients). Several other groups have investigated HRQOL in children with CIs; however, clinically-meaningful results have been hampered by small sample sizes, lack of controls, inconsistent inclusion criteria, and use of ad hoc instruments[12,34]. Inclusion criteria are important design considerations in CI outcome studies, especially when study sample size is small, because heterogeneity across samples in ages at implantation and assessment, years of CI experience, and other child, environmental, and intervention-related confounders may lead to variability in HRQOL scores and difficulty interpreting results, requiring a large sample size for meaningful patterns to emerge[12].

The link between family stress and HRQOL or quality of life (QOL) in chronically-ill pediatric populations is well-established. Family or parenting stress refers to stress associated with parenting tasks, such as discipline, behavior, and finances. High parent-reported, disease-specific stressors were found to correlate with low parent-reported QOL for childhood cancer patients, and maternal depression correlated with low child-reported QOL[35]. Similar associations between high parenting stress and low parent-proxy QOL scores were found in cerebral palsy[36] and sickle cell[37] populations. Furthermore, child-reported family stress was shown to associate negatively with child-reported HRQOL[38]. Family stress may be an important factor affecting HRQOL in children and may be a critical therapeutic target.

We evaluated HRQOL outcomes and assessed the relationship between HRQOL and family stress in the pediatric CI population using the Family Stress Scale (FSS)[39] in conjunction with parent- and child-reported scores on the Child Health and Illness Profile-Child Edition (CHIP-CE). We hypothesized that CI recipients’ overall HRQOL at six years post-implantation would fall within the average range and be comparable to that of NH peers, but that CI recipients might experience deficits in areas of HRQOL most related to hearing and language skills, such as social functioning and academic success[3,4,33]. Additionally, we anticipated that higher family stress would be associated with worse HRQOL scores. Paired child and parent reports of HRQOL were expected to correlate moderately, with weaker correlation in unobservable areas of HRQOL and stronger within-group associations for CI vs. NH families[27].

METHODS

Study Population

The Childhood Development after Cochlear Implantation Study (CDaCI) is a diverse, national, longitudinal study following 188 children implanted at six CI centers across the US and 97 NH children (NH1) recruited from two preschools. Participants were enrolled at ages ≤5 years, with average implantation age of 2.2 years and standard deviation (SD) of 1.2 years, using inclusion and exclusion criteria previously outlined[40]. Children and parents completed a number of assessments at baseline (prior to implantation for CI children; at registration for NH1 children) and annually thereafter to measure children’s hearing status, developmental progress, and family environment. The Institutional Review Boards at participating centers approved the protocol, and informed consent was obtained from all parents.

The CDaCI Study’s internal control group (NH1) was a convenience sample and, as previously reported[40], had significantly higher socioeconomic status (SES; assessed via family income and maternal education) than the CI group. Given that these variables are associated with HRQOL[4148], a hearing comparison group external to the CDaCI Study (NH2) was added from the diverse standardization sample used in the CHIP-CE validation studies[23,49]. These NH2 families (n=185) were frequency-matched to the CI group on child age, sex, maternal education, and family income.

The six-year post-implantation visit was chosen for analysis because it was the earliest point at which all CDaCI participants were old enough to complete the self-report HRQOL measure utilized in the study. Questionnaires for this visit were completed by 129 of 188 CI recipients (69%) enrolled in the CDaCI Study and 135 of their parents (72%) for 126 complete child-parent dyads, as well as 62 of 97 NH1 controls (64%) and 60 of their parents (62%) (56 dyads). For the CI group, some non-responders were lost to follow-up, moved, or declined further participation prior to the six-year post-implantation visit (n=27), some were unable to schedule that visit (n=20), and the rest did not complete questionnaires. Non-responders did not significantly differ from those who completed the questionnaire on any sociodemographic variables used as covariates in these analyses or on age at CDaCI entry. At six years post-implantation, 87% of respondents were using speech emphasis or oral language to communicate and 80% were enrolled in mainstreamed classrooms.

Outcome Measures and Procedures

The CHIP-CE was selected for use in the CDaCI Study because it is a well-validated instrument with good internal consistency and test-retest reliability, and includes an extensive battery of questions covering a wide range of functioning domains. It has corresponding child- and parent-report forms for comparison across reporters[50] and is valid for children ages 6–11[23]. The instrument assesses five domains: Satisfaction (well-being, self-esteem); Comfort (physical and emotional symptoms, activity limitations); Resilience (states and behaviors likely to enhance health); Risk Avoidance (behaviors likely to reduce health); and Achievement (academic performance, peer relationships). Additional information about these domains, as well as sample items, can be found in Table 1 (p.222) of Riley et al[23]. Each domain is standardized with a mean of 50 (SD=10) representing average health, with higher scores indicating better HRQOL. A reliable and valid Global Score for HRQOL can be calculated from individual domain scores[51].

Table 1.

Participant characteristics for CI recipients, internal CDaCI NH controls, and external sociodemographically-matched NH controls

CDaCI CI
Recipients
[n=129 unless
otherwise
noted]
N (%)
CDaCI NH1
Controls
[n=62 unless
otherwise
noted]
N (%)
External NH2
Controls
[n=185 unless
otherwise
noted]
N (%)

Mean Age at Assessment in Years (SD) 8.0 (1.3) 7.8 (1.0) 8.1 (1.4)

Sex
Male 52 (40%) 25 (40%) 81 (44%)
Female 77 (60%) 37 (60%) 104 (56%)

Race
[n=123] [n=53] [n=89]
White 93 (76%) 42 (79%) 72 (81%)
Black/African-American 8 (7%) 6 (11%) 8 (9%)
Asian/Pacific Islander 7 (6%) 1 (2%) 3 (3%)
Mixed 7 (6%) 3 (6%) 4 (4%)
Other 8 (7%) 1 (2%) 2 (2%)

Annual Family Income ***
[n=121] [n=53] [n=169]
<$40,000 18 (15%) 4 (8%) 31 (18%)
$40,000–$79,999 42 (35%) 4 (8%) 62 (37%)
≥$80,000 61 (50%) 45 (85%) 76 (45%)

Maternal Education ***
[n=128] [n=54]
College graduate or higher 72 (56%) 47 (87%) 112 (61%)

Mean Family Stress Scale Score (SD) ***
[n=132] [n=57] Not Available
1.8 (0.7) 1.5 (0.4)

Abbreviations: CI = cochlear implant; CDaCI = Childhood Development after Cochlear Implantation; NH = normal hearing; SD = standard deviation

p-value for comparison with CI group

*

<0.05;

**

<0.01;

***

<0.001

CHIP-CE Child Report Form (CHIP-CE/CRF)

The Child Report Form allows children to report on their perceived health, activities, and well-being in the five principal domains on a 45-item questionnaire using a five-point Likert rating scale. The CHIP-CE includes illustrations and uses graduated-size response options to facilitate comprehension[13].

CHIP-CE Parent Report Form (CHIP-CE/PRF)

The Parent Report Form-76 consists of the 45 items from the CHIP-CE/CRF, allowing comparisons of domain scores between children and parents, plus 31 additional items distributed across the domains. The larger number of questions (76 total) allows the same five principal domains to be further broken into 12 subdomains of health and functioning (see Riley et al. Table 2, p.212, for additional details about the subdomains)[49]. The CHIP-CE/PRF also uses a five-point Likert scale and is written at a fifth-grade level. Additionally, it includes family sociodemographic and child disorders modules. The disorders module assesses acute minor (e.g. scrape), acute major (e.g. broken bone), recurrent (e.g. asthma), long-term medical (e.g. diabetes), long-term surgical (e.g. physical disabilities), and psychosocial (e.g. stuttering) disorder subdomains. The CHIP-CE/PRF has been validated based on expected differences in health by child age, sex, SES, and disorder status[49].

Table 2.

Comparisons between child- and parent-reported mean CHIP-CE scores (SD) for CI recipients and NH control groups

CDaCI CI
Recipients
CDaCI NH1
Controls
External NH2
Controls
Child Report [n=127] [n=62] [n=185]
Achievement 50.7 (9.0) 52.9 (6.9)*** 51.2 (8.9)
Comfort 54.2 (8.6) 54.0 (6.9)* 52.9 (9.0)
Resilience 51.4 (8.0) 51.6 (8.4)*** 51.8 (8.4)**
Risk Avoidance 51.6 (8.2) 50.3 (8.9) 49.9 (9.9)
Satisfaction 53.4 (8.0) 53.1 (7.2)** 50.8 (9.8)
Global Score 52.0 (11.5)* 52.3 (10.9)*** 49.9 (13.2)
Parent Report [n=135] [n=60] [n=185]
Achievement 50.6 (10.6) 57.3 (8.1) 50.9 (9.2)
Comfort 55.3 (9.0) 56.2 (8.8) 51.7 (9.0)
Resilience 50.1 (10.9) 58.2 (8.6) 49.4 (10.2)
Risk Avoidance 51.6 (8.4) 51.7 (8.2) 49.8 (8.2)
Satisfaction 54.4 (9.1) 56.3 (8.4) 50.5 (8.9)
Global Score 53.2 (10.1) 58.1 (8.5) 50.6 (9.3)

Abbreviations: CHIP-CE = Child Health and Illness Profile-Child Edition; SD = standard deviation; CI = cochlear implant; NH = normal hearing; CDaCI = Childhood Development after Cochlear Implantation

Standardized CHIP score mean = 50, SD = 10, where higher scores indicate better health.

Of the 129 child respondents, two children returned questionnaires that could not be scored for any domains because <70% of items in each domain were completed.

p-value for pair-wise comparison with parent-reported score of same domain

*

<0.05;

**

<0.01;

***

<0.001

As part of the CDaCI Study, CI and NH1 children ages six and older and their parents complete the CHIP-CE at scheduled annual visits. Children are instructed to complete the questionnaire without assistance from parents, and when necessary, they receive assistance from the study coordinator. Parents complete the questionnaire separately at home and either bring the form to the follow-up visit or mail it to the clinic. NH2 participants completed the measure in their school settings, and parents completed the form at home[23,49].

Main predictors

In addition to examining the effects of CI intervention on HRQOL and comparing child and parent scores, family stress was measured by administering the FSS to parents of CI recipients and NH1 peers in the CDaCI study, with instructions to “think of stress as meaning something that taxes your resources or is more than you can handle comfortably”[39]. The FSS is a parent-report questionnaire with 13 items for all respondents, covering parenting stressors like marital relationship and educational concerns, with three additional disease-specific items for CI families (e.g., keeping the CIs on); it has demonstrated good internal consistency[52]. Items are rated on a 5-point Likert scale ranging from “not at all stressful” to “extremely stressful.” Ratings were averaged across the items to calculate a mean FSS score. Because the questionnaire was administered as part of the CDaCI Study to CI and NH1 parents, FSS data were not available for the NH2 group.

Covariates

Child age and sex, family income, and maternal education were collected from demographic items on the CHIP-CE/PRF. Annual family income was grouped into three categories: <$39,999, $40,000–$79,999, and ≥$80,000. Maternal education was divided into two categories, split at completion of college.

Statistical Analyses

Sociodemographic characteristics and outcome measures were summarized as frequency distributions for categorical variables and as means and SDs for continuous variables. Per the CHIP-CE scoring instructions, negative items were reverse-scored and relevant domain scores were calculated only when ≥70% of component items were answered. Paired t-tests and correlations were used to compare domain-specific scores and Global Scores within parent-child dyads. Multivariable linear regression was performed for each domain (and subdomain, for CHIP-CE/PRF scores) to estimate effects of CIs on HRQOL, adjusting for SES, sex, and age (since patient-reported health tends to worsen as children age). The average CI participant profile for these variables was applied to all three groups to derive the adjusted mean scores and associated 95% confidence intervals. Further multivariable modeling was performed for the CI and NH1 groups, adjusting CHIP-CE/PRF scores for mean FSS scores, in addition to covariates from the previous model. Stata 11 (StataCorp, College Station, TX) was used for analyses, and all tests were two-sided with α=0.05. No adjustments were made for multiple comparisons.

RESULTS

Demographic characteristics are presented in Table 1. Age, sex, and racial/ethnic distributions were comparable for all groups. As anticipated, the NH1 group had significantly higher family income and maternal education (p’s<0.001) than the CI group. The NH2 group did not differ significantly from CI recipients in any variables.

Unadjusted CHIP-CE/CRF and CHIP-CE/PRF scores for each group are shown in Table 2. Less than 5% of respondents had unscored domains due to answering <70% of relevant items[23,49]. On average, CI children had scores ≥50 across all domains for both child- and parent-reported measures after six years of CI use, which is the average level of HRQOL established for the CHIP-CE[23,49]. The CHIP-CE/PRF disorders mean scores showed no significant differences between CI recipients and NH1 or NH2 peers in any subdomain except long-term surgical disorders.

Comparisons between child- and parent-reported HRQOL

The CI families’ unadjusted CHIP-CE scores showed that parents and children reported similar scores, only statistically differing in Global Score (p<0.05). On average, NH1 child-reported scores were lower (worse) than parent-reported scores across all five domains and the Global Score, with the largest differences noted in Achievement, Resilience, and Global Score (p’s<0.001). In contrast, NH2 child-reported scores were higher (better) on average than parent-reported scores across all five domains, but the within-family differences were only significant for Resilience (p<0.01). Paired correlations between self- and parent-reported CHIP-CE scores were generally moderate, ranging from r=0.16 to r=0.56 (Table 3), such that children who reported better HRQOL tended to have parents who reported their HRQOL as more positive too. CI families showed the strongest correlations of the three groups in Achievement (r=0.53; p<0.001), Resilience (r=0.28; p<0.01), and Satisfaction (r=0.32; p<0.001), as well as in Global Score (r=0.50; p<0.001), although differences between groups were generally not significant.

Table 3.

Pair-wise correlations between child- and parent-reported CHIP-CE scores by domain

CDaCI CI
Recipients
CDaCI NH1
Controls
External NH2
Controls

Achievement *
r 0.53 0.40 0.32
p-value <0.0001 0.0024 <0.0001
# of pairs 124 55 184

Comfort
r 0.29 0.36 0.29
p-value 0.0011 0.0067 0.0001
# of pairs 126 56 184

Resilience
r 0.28 0.17 0.19
p-value 0.0017 0.22 0.0091
# of pairs 125 55 185

Risk Avoidance
r 0.50 0.56 0.31
p-value <0.0001 <0.0001 <0.0001
# of pairs 124 54 185

Satisfaction
r 0.32 0.16 0.21
p-value 0.0003 0.23 0.0049
# of pairs 125 56 184

Global Score
r 0.50 0.42 0.35
p-value <0.0001 0.0015 <0.0001
# of pairs 121 54 182

Abbreviations: CHIP-CE = Child Health and Illness Profile – Child Edition; CI = cochlear implant; NH = normal hearing

p-value for test of differences in correlation coefficients from CI group:

*

<0.05

Comparisons between CI recipients and NH controls

CHIP-CE domain and subdomain mean scores, after adjustment for covariates known to affect HRQOL (age, sex, maternal education, and income), for both child and parent reporters are shown in Table 4. NH1 children’s self-reported domain-specific scores and Global Score did not differ significantly from CI recipients’ self-reports. NH1 parents reported higher scores (better HRQOL) for their children than did CI parents in Achievement (p<0.001), Resilience (p<0.001), and Global Score (p<0.01). The Resilience difference was driven largely by its social problem solving and physical activity subdomains (p’s<0.001).

Table 4.

Comparisons of adjusteda mean child- and parent-reported CHIP-CE scores (95% C.I.) between CI recipients and two NH control groups

CDaCI CI
Recipients
CDaCI NH1
Controlsb
External NH2
Controls‡
Child Report [n=117–119] [n=51–52] [n=168–169]
Achievement 51.0 (49.4–52.5) 53.1 (50.6–55.5) 51.8 (50.5–53.1)
Comfort 54.0 (52.5–55.6) 53.5 (51.1–55.9) 53.1 (51.8–54.4)
Resilience 51.6 (50.1–53.1) 52.3 (50.0–54.7) 52.1 (50.8–53.3)
Risk Avoidance 51.5 (50.0–53.0) 49.2 (46.7–51.7) 50.3 (49.0–51.6)
Satisfaction 53.6 (52.0–55.1) 53.6 (51.1–56.1) 51.0 (49.7–52.3)*
Global Score 52.1 (49.8–54.3) 52.3 (48.7–55.8) 50.6 (48.8–52.5)
Parent Report [n=122–128] [n=53–55] [n=167–169]
Achievement 50.3 (48.7–52.0) 56.6 (54.0–59.2)*** 51.2 (49.8–52.6)
  Academic Performance 51.0 (49.5–52.5) 55.8 (53.4–58.2)** 51.0 (49.6–52.3)
  Peer Relations 49.2 (47.5–51.0) 55.0 (52.1–57.8)** 51.0 (49.4–52.5)
Comfort 55.3 (53.8–56.8) 55.7 (53.2–58.2) 51.4 (50.1–52.8)***
  Physical Comfort 54.8 (53.3–56.3) 54.4 (52.0–56.8) 52.8 (51.6–54.1)
  Emotional Comfort 54.8 (53.3–56.4) 55.6 (53.1–58.1) 49.2 (47.8–50.5)***
  Restricted Activity 51.4 (49.9–52.9) 52.5 (50.2–54.9) 52.7 (51.5–54.0)
Resilience 50.0 (48.3–51.8) 57.3 (54.5–60.1)*** 49.8 (48.3–51.3)
  Family Involvement 51.9 (50.3–53.6) 54.2 (51.5–56.8) 49.7 (48.3–51.2)*
  Social Problem Solving 46.7 (45.0–48.5) 54.2 (51.4–57.1)*** 49.2 (47.7–50.8)*
  Physical Activity 51.5 (49.9–53.1) 57.0 (54.4–59.7)*** 50.7 (49.3–52.2)
Risk Avoidance 51.7 (50.2–53.1) 51.4 (49.1–53.6) 49.5 (48.3–50.7)*
  Individual Risk Avoidance 49.7 (48.0–51.3) 51.4 (48.8–54.0) 47.9 (46.5–49.4)
  Threats to Achievement 52.4 (51.1–53.7) 51.1 (49.0–53.2) 50.3 (49.2–51.5)*
Satisfaction 54.4 (52.9–55.9) 55.7 (53.3–58.2) 50.8 (49.5–52.1)**
  Satisfaction with Health 54.0 (52.3–55.6) 55.6 (52.9–58.3) 51.3 (49.8–52.8)*
  Satisfaction with Self 53.6 (52.3–54.9) 54.2 (52.0–56.3) 50.0 (48.8–51.1)***
Global Score 53.1 (51.5–54.7) 57.2 (54.7–59.8)** 50.7 (49.3–52.1)*

Abbreviations: CHIP = Child Health and Illness Profile-Child Edition; C.I. = confidence interval; CI = cochlear implant; NH = normal hearing

Standardized CHIP score mean = 50, SD = 10, where higher scores indicate better health.

p-value for comparison with CI group

*

<0.05;

**

<0.01;

***

<0.001

a

Adjusted for group (CI, NH1, and NH2), test age, sex, maternal education, and family income

b

Adjusted mean scores based on the average CI group sociodemographic profile on test age, sex, maternal education, and family income

NH2 controls’ self-reported scores were lower (worse) than CI children’s self-ratings in Satisfaction (p<0.05). NH2 parents reported lower scores than CI parents in Comfort (p<0.001), Risk Avoidance (p<0.05), Satisfaction (p<0.01), and Global Score (p<0.05). The Comfort difference was driven largely by the emotional comfort subdomain (p<0.001), with no significant differences in the physical comfort or restricted activity subdomains.

Effects of family stress on HRQOL

Table 5 shows correlations between FSS and CHIP-CE/PRF scores and FSS regression coefficients in a model adjusting for age, sex, and SES. Correlations between FSS mean scores and CHIP-CE/PRF scores in the CI group were moderate, ranging from −0.25 for Satisfaction to −0.50 for Global Score, such that higher levels of stress were correlated with worse HRQOL scores. These correlations were highly significant for the Global Score and across all domains (p’s<0.01). For NH1 parents, correlations between FSS mean scores and CHIP-CE/PRF scores varied by domain. Moderate, significant correlations were observed for Comfort (r=−0.44; p<0.001), Risk Avoidance (r=−0.30; p<0.05), Satisfaction (r=−0.32; p<0.05), and Global Score (r=−0.31; p<0.05); no correlations were observed with Achievement and Resilience.

Table 5.

Associationsa and correlationsb of FSS mean scores with CHIP-CE/PRF scores

FSS Beta
Coefficient
(CDaCI
participants)
FSS-CHIP
Correlation
Coefficient
(CDaCI CI
Recipients)
FSS-CHIP
Correlation
Coefficient
(CDaCI NH1
Controls)
Achievement ‡‡ −6.21*** −0.44*** −0.04
Comfort −5.85*** −0.37*** −0.44***
Resilience −5.08*** −0.32*** −0.09
Risk Avoidance −6.50*** −0.48*** −0.30*
Satisfaction −4.00*** −0.25** −0.32*
Global Score −7.66*** −0.50*** −0.31*

Abbreviations: FSS = Family Stress Scale; CHIP-CE/PRF = Child Health and Illness Profile – Child Edition Parent Report Form; CI = cochlear implant; NH = normal hearing

p-values:

*

<0.05;

**

<0.01;

***

<0.001;

p-values for test of differences in correlation coefficients:

‡‡

<0.01

a

Associations of FSS (completed only by parents, and where higher FSS scores indicate higher stress levels) with CHIP-CE scores (higher scores indicate better health), adjusting for group (cochlear implant [CI] or internal CDaCI controls [NH1]), test age, sex, maternal education, and family income

b

Pair-wise correlations between FSS mean score and CHIP-CE score

Higher FSS scores (more stress), as reported by parents, were associated with significantly lower CHIP-CE/PRF Global Scores and domain scores (p’s<0.001), ranging from a 4-point lower Satisfaction score to a 7.7-point lower Global Score for each 1-point increase on the FSS. After inclusion of FSS scores in the model, the Achievement and Resilience differences observed between the CI and NH1 parent reports in Table 4 remained, but the two groups no longer statistically differed in Global Score. FSS scores accounted for 23% of the variance in Global Score. Overall, FSS scores had inverse correlations and negative associations with CHIP-CE scores, and adjusting for FSS attenuated differences between CI and NH1 parent reports.

DISCUSSION

The results of this study using a comprehensive, reliable, well-validated generic HRQOL instrument indicated children who have undergone cochlear implantation experience HRQOL comparable to their NH peers after six years of device use. Average CHIP-CE scores of both children with CIs and their parents were above the established population mean of 50, demonstrating that both the children and their parents evaluate the child’s health favorably. Children themselves reported high scores in Comfort, reflecting low levels of physical and emotional symptoms, consistent with parental ratings of disorders, where only the long-term surgical disorders subdomain was rated worse for the CI group; this can be explained by the CI alone, since that subdomain includes a question about hearing difficulties. Otherwise, CI children had no more disorders than NH peers. Importantly, in contrast to findings from a prior investigation[4], CI recipients also report high Satisfaction, indicating good levels of well-being and self-esteem, as well as above average scores in Achievement, demonstrating success in academic functioning and peer relationships. Overall, the CI recipients’ self-reports did not differ from either NH group, demonstrating they do not view themselves as “less healthy” than their NH peers.

Within families, CI parent-child pairs reported similar results, while NH dyads’ scores differed. NH1 children reported significantly lower HRQOL than parents’ proxy ratings, an incompletely understood finding often observed in community samples[27,53]. It is possible that high SES parents have a different standard for these behaviors than do children. NH2 children rated themselves significantly higher in Resilience than parents did. Resilience is a composite scale comprising health-promoting behaviors, including family involvement, physical activity, and nutrition. This finding was not seen in the full CHIP-CE cohort[23,49] and could be due to chance in the NH2 sampling. It is notable that the parent-child difference in Resilience scores is small and likely not clinically meaningful.[54]

Correlations within dyads, though not significant, lent support to higher agreement for CI families than for either control group. In our sample, this finding may be explained by parents’ involvement in the treatment, needs, and progress of their children with CIs, leading to a shared understanding of the child’s experience of health. Correlations were highest for Achievement and Risk Avoidance for all three parent-child groups, which is consistent with literature showing better agreement for observable aspects of functioning[27,53]. Achievement scores are commonly reported by the child’s school, and risk avoidance is based on actual behavior which is observable by parents.

Although parents of children with CIs reported at least average health for their children, there were significant differences between parent groups. NH1 parents rated their children higher in Achievement, Resilience, and Global Score than parents of CI recipients, even after controlling for SES, with scores on all domains above the CHIP-CE standardized average score. It is notable that CI parents report lower scores for their children than NH1 parents in the Resilience subdomains physical activity and social problem solving, as well as in the Achievement domain, consistent with prior reports[3,4]. In the latter two areas of functioning, language competency drives successful development. Moreover, children in the more affluent families may experience conditions such as academic support that favorably influence their health status across domains.

Concerns about SES differences between CI and NH1 families led to inclusion of the NH2 group, which was obtained from the CHIP standardization sample and matched to CI participants as described above. In contrast to the NH1 group, NH2 parents generally reported worse HRQOL than CI parents, as seen in Comfort, Risk Avoidance, Satisfaction, and Global Score.

Our analyses showed that family stress plays an important role in HRQOL. Parent-reported family stress was negatively associated with all parent-reported domains and the global score. A unit increase in FSS score was associated with a decrease in parent-reported HRQOL that is likely to be clinically meaningful[54]. Adjustment for family stress decreased the disparity in Achievement and Resilience subdomain scores and removed the Global Score discrepancy between CI and NH1 parent reports, indicating family stress explains part of these differences. Several studies have shown higher levels of reported family stress in parents of CI recipients than parents of NH children[52,55], and level of family stress may be a factor underlying perceptions of QOL. Further studies are necessary to identify additional factors, such as parental depression, that may result in parents reporting both higher family stress and worse HRQOL for their children. In any case, it may be important to identify and provide additional support to families with elevated family stress to further improve HRQOL in pediatric CI recipients.

In sum, once sociodemographic and family stress factors were controlled, HRQOL for these 6–11 year old children with CIs vs. hearing children was observed to be lower only in academic achievement and social problem solving, and these differences were reported by parents but not by children themselves. These are important areas of functioning, but it is remarkable that in most aspects of health, six years after cochlear implantation, these children were rated by themselves and their parents as being as healthy as hearing peers.

Our findings in this study support those of Loy et al.[33], who found no significant difference in total HRQOL between CI children and NH peers. However, they did find that younger CI recipients (8–11 years of age) reported lower family scores on the KINDL(R), which is roughly analogous to the family involvement subdomain within Resilience, a difference we did not observe. Our findings contradict Huber et al.’s[4], who reported worse global HRQOL for CI recipients than normative scores. They found lower CI recipient than NH peer child-reported scores in areas of HRQOL relating to self-esteem, family, friends, and physical and psychological symptoms, similar to subdomains within Satisfaction, Resilience, Achievement, and Comfort, respectively, and low parent-child score correlations. Here, we evaluated a large, representative cohort[56] with narrow range of age at implantation (0–5 years) and years of CI experience, to yield results generalizable to the US pediatric CI population. By using this group of participants and two NH groups, we believe our study’s comprehensive, accurate assessment of HRQOL in CI recipients was less prone to limitations plaguing previous studies.

This work provides further insight into the impact of childhood cochlear implantation on patients with early-onset deafness, characterized as onset during infancy or toddlerhood. We chose an outcome measure that explores children’s everyday well-being to complement prior investigations using clinical tests of speech, hearing, or language. Examining HRQOL also acknowledges the recent interest and importance placed on such contextually-specific measures, a trend seen in the literature and supported by the FDA[15,20,57,58]. HRQOL can provide clinicians with a broader view of CI outcomes, offering potential insights into the role of modifying factors surrounding the specific intervention (CI). Measured HRQOL outcomes may be used to guide supporting therapies and interventions, such as those targeting family stress, rehabilitation and education strategies, and social support networks.

Limitations

The NH1 group differed from the CI group in important participant characteristics, most notably family income and maternal education. The NH2 group was introduced as a second control that matched the CI group more closely in demographic characteristics, but this sample did not follow the same protocol as the CI children, including different method of CHIP-CE administration and lack of FSS administration. Differences in demographics and data collection between NH1 and NH2 groups, respectively, may have affected group comparisons. Additionally, while the heterogeneity of CI participants allows for greater generalizability, it could result in greater outcome variability, making identification of factors associated with HRQOL more difficult.

While only two children were eliminated from analyses for completing <70% of CHIP-CE items, it is possible that some participants had difficulty understanding questions due to language or cognitive deficits. Although there were no differences in responders and non-responders, exclusion of 30% of the original CI group due to loss to follow-up and failure to complete questionnaires could lead to undetected biases. Additionally, use of a generic HRQOL measure, rather than a disease-specific measure, was necessary for comparison of HRQOL of CI children to NH peers, but this measure may have been less sensitive to the specific challenges faced by CI recipients.

CONCLUSION

This investigation found that six years after implantation, CI recipients enjoy HRQOL as good as NH peers, according to both child and parent reports. CI recipients’ parents reported their children’s HRQOL as intermediate between parent-reported HRQOL scores from two NH control groups. Parent-reported family stress was associated with worse parent-reported HRQOL for CI recipients, suggesting stress reduction as a potential therapeutic target for CI families. Additionally, we found higher agreement in child HRQOL between CI children and their parents than between NH parent-child dyads, indicating CI parents may have greater awareness of their children’s HRQOL due to increased participation in their children’s health care. These results suggest that CIs can effectively minimize the impact of early childhood deafness on HRQOL, consistent with the positive effects of CI on other reported performance outcomes[5962]. Our findings also offer insight into the link between family stress and children’s HRQOL that could lead to further improvements in cochlear implantation outcomes.

ACKNOWLEDGEMENTS

Funding/Support

The authors would like to thank the developers of the CHIP-CE for use of data from the CHIP-CE validation studies to create the NH2 comparison group. The CDaCI Study was supported by grant RO1 DC004797 from the National Institute on Deafness and Other Communication Disorders, the CityBridge Foundation, and the Sidgmore Family Foundation. Warranties on the implant devices used by children with implants in this study were discounted by 50% by the Advanced Bionics Corporation, Cochlear Corporation, and the MEDEL Corporation.

CDaCI Investigative Team

House Research Institute, Los Angeles: Laurie S. Eisenberg, PhD, CCC-A (PI); Karen Johnson, PhD, CCCA (coordinator); William Luxford, MD (surgeon); Leslie Visser-Dumont, MA, CCC-A (data collection); Amy Martinez, MA, CCC-A (data collection); Dianne Hammes Ganguly, MA (data collection); Jennifer Still, MHS (data collection); Carren J. Stika, PhD (data collection).

Johns Hopkins University, Listening Center, Baltimore: Howard Francis, MD (PI); Steve Bowditch, MS, CCC-A (data collection) Rick Ostrander, EdD (data collection); Jennifer Yeagle, MEd, CCC-A (data collection); Dawn Marsiglia, MA, CCC-A/SLP (data collection); Jill Stephens.

Johns Hopkins University, The River School, Washington, DC: Nancy Mellon, MS (administration); Meredith Ouellette, MS (coordinator); Meredith Dougherty, MS (data collection); Patricia Gates-Ulanet, PhD (data collection); Julie Verhoff, AuD, CCC-A (data collection).

University of Miami, Miami: Annelle Hodges, PhD, CCC-A (PI); Thomas Balkany, MD (surgeon); Alina Lopez, MA, CCC-SLP/A (coordinator); Leslie Goodwin, MSN, CCRC (data collection).

University of Michigan, Ann Arbor: Teresa Zwolan, PhD, CCC-A (Principal Investigator); Caroline Arnedt, MA, CCC-A (clinic coordinator); Hussam El-Kashlam, MD (surgeon); Kelly Starr, MA, CCC-SLP (data collection); Ellen Thomas, MA, CCC-SLP, Cert AVT.

University of North Carolina, Carolina Children's Communicative Disorders Program, Chapel Hill: Holly F.B. Teagle, AuD, CCC-A (PI); Craig A. Buchman, MD (surgeon); Carlton Zdanski, MD (surgeon); Hannah Eskridge, MSP (data collection); Harold C. Pillsbury, MD (surgeon); Jennifer Woodard (coordinator).

University of Southern California, Los Angeles: John K. Niparko, MD (Study PI).

University of Texas at Dallas, Dallas Cochlear Implant Program, Callier Advanced Hearing Research Center, Dallas: Emily A. Tobey, PhD, CCC-SLP (PI); Lana Britt, AuD, (Coordinator); Janet Lane, MS, CCC-SLP (data collection); Peter Roland, MD (surgeon); Sujin Shin, MA (data collection); Madhu Sundarrajan, MS, CCC-SLP (data collection).

Resource Centers

Data Coordinating Center, Johns Hopkins University, Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore: Nae-Yuh Wang, PhD (PI, biostatistician); Christine M. Carson, ScM (study manager, data analysis); Thelma Grace (data assembly); Patricia Bayton (data assembly).

Psychometrics Center, University of Miami, Department of Psychology, Coral Gables: Alexandra Quittner, PhD (PI); David Barker, PhD (data analysis); Ivette Cruz, PhD (data analysis); Cara Kimberg (data assembly); Sandy Romero (data assembly); Mary Beth Grimley (data assembly); Michael Hoffman (data analysis).

Study Oversight Committees

Executive Committee: John K. Niparko, MD (chair); Laurie S. Eisenberg, PhD; Alexandra L. Quittner, PhD; Emily A. Tobey, PhD; Nae-Yuh Wang, PhD; Christine M. Carson, ScM.

External Advisors: Ann Geers, PhD; Karen Iler Kirk, PhD; Mabel Rice; Donna Thal.

The final publication is available at http://link.springer.com/article/10.1007%2Fs11136-013-0509-3.

REFERENCES

  • 1.Wake M, Hughes EK, Poulakis Z, Collins C, Rickards FW. Outcomes of children with mild-profound congenital hearing loss at 7 to 8 years: a population study. Ear and Hearing. 2004;25(1):1–8. doi: 10.1097/01.AUD.0000111262.12219.2F. [DOI] [PubMed] [Google Scholar]
  • 2.Tambs K. Moderate effects of hearing loss on mental health and subjective well-being: results from the Nord-Trondelag Hearing Loss Study. Psychosomatic Medicine. 2004;66(5):776–782. doi: 10.1097/01.psy.0000133328.03596.fb. [DOI] [PubMed] [Google Scholar]
  • 3.Wake M, Hughes EK, Collins CM, Poulakis Z. Parent-reported health-related quality of life in children with congenital hearing loss: a population study. Ambulatory Pediatrics. 2004;4(5):411–417. doi: 10.1367/A03-191R.1. [DOI] [PubMed] [Google Scholar]
  • 4.Huber M. Health-related quality of life of Austrian children and adolescents with cochlear implants. International Journal of Pediatric Otorhinolaryngology. 2005;69(8):1089–1101. doi: 10.1016/j.ijporl.2005.02.018. [DOI] [PubMed] [Google Scholar]
  • 5.Kastner JW, May W, Hildman L. Relationship between language skills and academic achievement in first grade. Perceptual and Motor Skills. 2001;92(2):381–390. doi: 10.2466/pms.2001.92.2.381. [DOI] [PubMed] [Google Scholar]
  • 6.Luria A. The role of speech in normal and abnormal behavior. New York: Liveright; 1961. [Google Scholar]
  • 7.Brooks R, Meltzoff AN. The development of gaze following and its relation to language. Developmental Science. 2005;8(6):535–543. doi: 10.1111/j.1467-7687.2005.00445.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Svirsky MA. Language development in children with profound and prelingual hearing loss, without cochlear implants. The Annals of Otology, Rhinology & Laryngology. Supplement. 2000;185:99–100. doi: 10.1177/0003489400109s1243. [DOI] [PubMed] [Google Scholar]
  • 9.Huttunen K, Rimmanen S, Vikman S, Virokannas N, Sorri M, Archbold S, et al. Parents' views on the quality of life of their children 2–3 years after cochlear implantation. International Journal of Pediatric Otorhinolaryngology. 2009;73(12):1786–1794. doi: 10.1016/j.ijporl.2009.09.038. [DOI] [PubMed] [Google Scholar]
  • 10.Clark JH, Wang NY, Riley AW, Carson CM, Meserole RL, Lin FR, et al. Timing of cochlear implantation and parents' global ratings of children's health and development. Otology & Neurotology. 2012;33(4):545–552. doi: 10.1097/MAO.0b013e3182522906. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Lin FR, Wang NY, Fink NE, Quittner AL, Eisenberg LS, Tobey EA, et al. Assessing the use of speech and language measures in relation to parental perceptions of development after early cochlear implantation. Otology & Neurotology. 2008;29(2):208–213. doi: 10.1097/mao.0b013e31812f6fa6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Lin FR, Niparko JK. Measuring health-related quality of life after pediatric cochlear implantation: a systematic review. International Journal of Pediatric Otorhinolaryngology. 2006;70(10):1695–1706. doi: 10.1016/j.ijporl.2006.05.009. [DOI] [PubMed] [Google Scholar]
  • 13.Rebok G, Riley A, Forrest C, Starfield B, Green B, Robertson J, et al. Elementary school-aged children's reports of their health: a cognitive interviewing study. Quality of Life Research. 2001;10(1):59–70. doi: 10.1023/a:1016693417166. [DOI] [PubMed] [Google Scholar]
  • 14.Starfield B, Riley AW, Green BF, Ensminger ME, Ryan SA, Kelleher K, et al. The adolescent child health and illness profile. a population-based measure of health. Medical Care. 1995;33(5):553–566. doi: 10.1097/00005650-199505000-00008. [DOI] [PubMed] [Google Scholar]
  • 15.U.S. Department of Health and Human Services; Food and Drug Administration; Center for Drug Evaluation and Research; Center for Biologics Evaluation and Research; Center for Devices and Radiological Health. Guidance for industry: patient-reported outcome measures: use in medical product development to support labeling claims
  • 16.Matza LS, Rentz AM, Secnik K, Swensen AR, Revicki DA, Michelson D, et al. The link between health-related quality of life and clinical symptoms among children with attention-deficit hyperactivity disorder. Journal of Developmental and Behavioral Pediatrics. 2004;25(3):166–174. doi: 10.1097/00004703-200406000-00005. [DOI] [PubMed] [Google Scholar]
  • 17.McNeely CA, Nonnemaker JM, Blum RW. Promoting school connectedness: evidence from the National Longitudinal Study of Adolescent Health. The Journal of School Health. 2002;72(4):138–146. doi: 10.1111/j.1746-1561.2002.tb06533.x. [DOI] [PubMed] [Google Scholar]
  • 18.Forrest CB, Riley AW, Vivier PM, Gordon NP, Starfield B. Predictors of children's healthcare use: the value of child versus parental perspectives on healthcare needs. Medical Care. 2004;42(3):232–238. doi: 10.1097/01.mlr.0000115196.02425.05. [DOI] [PubMed] [Google Scholar]
  • 19.Woodward CA, Boyle MH, Offord DR, Cadman DT, Links PS, Munroe-Blum H, et al. Ontario Child Health Study: patterns of ambulatory medical care utilization and their correlates. Pediatrics. 1988;82(3 Pt 2):425–434. [PubMed] [Google Scholar]
  • 20.Matza L, Patrick D, Riley A, Alexander J, Rajmil L, Pleil A, et al. Developing and implementing PRO instruments for assessment of children and adolescents. ISPOR PRO Good Research Practices Task Force Report. 2012 [Google Scholar]
  • 21.McSweeny AJ, Creer TL. Health-related quality-of-life assessment in medical care. Disease-a-Month: DM. 1995;41(1):1–71. [PubMed] [Google Scholar]
  • 22.Eiser C, Mohay H, Morse R. The measurement of quality of life in young children. Child Care Health Dev. 2000;26(5):401–414. doi: 10.1046/j.1365-2214.2000.00154.x. [DOI] [PubMed] [Google Scholar]
  • 23.Riley AW, Forrest CB, Rebok GW, Starfield B, Green BF, Robertson JA, et al. The Child Report Form of the CHIP-Child Edition: reliability and validity. Medical Care. 2004;42(3):221–231. doi: 10.1097/01.mlr.0000114910.46921.73. [DOI] [PubMed] [Google Scholar]
  • 24.Warner-Czyz AD, Loy B, Tobey EA, Nakonezny P, Roland PS. Health-related quality of life in children and adolescents who use cochlear implants. International Journal of Pediatric Otorhinolaryngology. 2011;75(1):95–105. doi: 10.1016/j.ijporl.2010.10.018. [DOI] [PubMed] [Google Scholar]
  • 25.Theunissen NC, Vogels TG, Koopman HM, Verrips GH, Zwinderman KA, Verloove-Vanhorick SP, et al. The proxy problem: child report versus parent report in health-related quality of life research. Quality of Life Research. 1998;7(5):387–397. doi: 10.1023/a:1008801802877. [DOI] [PubMed] [Google Scholar]
  • 26.Upton P, Lawford J, Eiser C. Parent-child agreement across child health-related quality of life instruments: a review of the literature. Quality of Life Research. 2008;17(6):895–913. doi: 10.1007/s11136-008-9350-5. [DOI] [PubMed] [Google Scholar]
  • 27.Eiser C, Morse R. Can parents rate their child's health-related quality of life? Results of a systematic review. Quality of Life Research. 2001;10(4):347–357. doi: 10.1023/a:1012253723272. [DOI] [PubMed] [Google Scholar]
  • 28.Warner-Czyz AD, Loy B, Roland PS, Tong L, Tobey EA. Parent versus child assessment of quality of life in children using cochlear implants. International Journal of Pediatric Otorhinolaryngology. 2009;73(10):1423–1429. doi: 10.1016/j.ijporl.2009.07.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Annett RD. Assessment of health status and quality of life outcomes for children with asthma. The Journal of Allergy and Clinical Immunology. 2001;107(5 Suppl):S473–S481. doi: 10.1067/mai.2001.114949. [DOI] [PubMed] [Google Scholar]
  • 30.Varni JW, Limbers CA, Burwinkle TM. Parent proxy-report of their children's health-related quality of life: an analysis of 13,878 parents' reliability and validity across age subgroups using the PedsQL 4.0 Generic Core Scales. Health and Quality of Life Outcomes. 2007;5:2. doi: 10.1186/1477-7525-5-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Sach TH, Barton GR. Interpreting parental proxy reports of (health-related) quality of life for children with unilateral cochlear implants. International Journal of Pediatric Otorhinolaryngology. 2007;71(3):435–445. doi: 10.1016/j.ijporl.2006.11.011. [DOI] [PubMed] [Google Scholar]
  • 32.Edwards L, Hill T, Mahon M. Quality of life in children and adolescents with cochlear implants and additional needs. International Journal of Pediatric Otorhinolaryngology. 2012;76(6):851–857. doi: 10.1016/j.ijporl.2012.02.057. [DOI] [PubMed] [Google Scholar]
  • 33.Loy B, Warner-Czyz AD, Tong L, Tobey EA, Roland PS. The children speak: an examination of the quality of life of pediatric cochlear implant users. Otolaryngology--Head and Neck Surgery. 2010;142(2):247–253. doi: 10.1016/j.otohns.2009.10.045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Hashemi SB, Monshizadeh L. The quality of life in pre-lingual deaf children after 1.5 years of cochlear implantation from the point of view of parents in Shiraz, Iran. Iranian Red Crescent Medical Journal. 2011;13(6):431–433. [Google Scholar]
  • 35.Vance YH, Morse RC, Jenney ME, Eiser C. Issues in measuring quality of life in childhood cancer: measures, proxies, and parental mental health. Journal of Child Psychology and Psychiatry, and Allied Disciplines. 2001;42(5):661–667. [PubMed] [Google Scholar]
  • 36.White-Koning M, Arnaud C, Dickinson HO, Thyen U, Beckung E, Fauconnier J, et al. Determinants of child-parent agreement in quality-of-life reports: a European study of children with cerebral palsy. Pediatrics. 2007;120(4):e804–e814. doi: 10.1542/peds.2006-3272. [DOI] [PubMed] [Google Scholar]
  • 37.Barakat LP, Patterson CA, Daniel LC, Dampier C. Quality of life among adolescents with sickle cell disease: mediation of pain by internalizing symptoms and parenting stress. Health and Quality of Life Outcomes. 2008;6:60. doi: 10.1186/1477-7525-6-60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Ravens-Sieberer U, Bullinger M. Assessing health-related quality of life in chronically ill children with the German KINDL: first psychometric and content analytical results. Quality of Life Research. 1998;7(5):399–407. doi: 10.1023/a:1008853819715. [DOI] [PubMed] [Google Scholar]
  • 39.Quittner AL, Glueckauf RL, Jackson DN. Chronic parenting stress: moderating versus mediating effects of social support. Journal of Personality and Social Psychology. 1990;59(6):1266–1278. doi: 10.1037//0022-3514.59.6.1266. [DOI] [PubMed] [Google Scholar]
  • 40.Fink NE, Wang NY, Visaya J, Niparko JK, Quittner A, Eisenberg LS, et al. Childhood Development after Cochlear Implantation (CDaCI) study: design and baseline characteristics. Cochlear Implants International. 2007;8(2):92–116. doi: 10.1179/cim.2007.8.2.92. [DOI] [PubMed] [Google Scholar]
  • 41.Aggarwal A, Datta V, Thakur LC. Quality of life in children with epilepsy. Indian Pediatrics. 2011;48(11):893–896. doi: 10.1007/s13312-011-0137-3. [DOI] [PubMed] [Google Scholar]
  • 42.Costarelli V, Koretsi E, Georgitsogianni E. Health-related quality of life of Greek adolescents: the role of the Mediterranean diet. Quality of Life Research. 2012 doi: 10.1007/s11136-012-0219-2. [DOI] [PubMed] [Google Scholar]
  • 43.Gerson AC, Wentz A, Abraham AG, Mendley SR, Hooper SR, Butler RW, et al. Health-related quality of life of children with mild to moderate chronic kidney disease. Pediatrics. 2010;125(2):e349–e357. doi: 10.1542/peds.2009-0085. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Nadkarni J, Jain A, Dwivedi R. Quality of life in children with epilepsy. Annals of Indian Academy of Neurology. 2011;14(4):279–282. doi: 10.4103/0972-2327.91948. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Drukker M, Kaplan C, Feron F, van Os J. Children's health-related quality of life, neighbourhood socio-economic deprivation and social capital. A contextual analysis. Social Science & Medicine. 2003;57(5):825–841. doi: 10.1016/s0277-9536(02)00453-7. (1982) [DOI] [PubMed] [Google Scholar]
  • 46.Erickson SR, Munzenberger PJ, Plante MJ, Kirking DM, Hurwitz ME, Vanuya RZ. Influence of sociodemographics on the health-related quality of life of pediatric patients with asthma and their caregivers. The Journal of Asthma. 2002;39(2):107–117. doi: 10.1081/jas-120002192. [DOI] [PubMed] [Google Scholar]
  • 47.von Rueden U, Gosch A, Rajmil L, Bisegger C, Ravens-Sieberer U. Socioeconomic determinants of health related quality of life in childhood and adolescence: results from a European study. Journal of Epidemiology and Community Health. 2006;60(2):130–135. doi: 10.1136/jech.2005.039792. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Mansour ME, Kotagal U, Rose B, Ho M, Brewer D, Roy-Chaudhury A, et al. Health-related quality of life in urban elementary school children. Pediatrics. 2003;111(6 Pt 1):1372–1381. doi: 10.1542/peds.111.6.1372. [DOI] [PubMed] [Google Scholar]
  • 49.Riley AW, Forrest CB, Starfield B, Rebok GW, Robertson JA, Green BF. The parent report form of the CHIP-Child Edition: reliability and validity. Medical Care. 2004;42(3):210–220. doi: 10.1097/01.mlr.0000114909.33878.ca. [DOI] [PubMed] [Google Scholar]
  • 50.Janssens L, Gorter JW, Ketelaar M, Kramer WL, Holtslag HR. Health-related quality-of-life measures for long-term follow-up in children after major trauma. Quality of Life Research. 2008;17(5):701–713. doi: 10.1007/s11136-008-9339-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Riley AW, Chan KS, Prasad S, Poole L. A global measure of child health-related quality of life: reliability and validity of the Child Health and Illness Profile - Child Edition (CHIP-CE) global score. J Med Econ. 2007;10(2):91–106. [Google Scholar]
  • 52.Quittner AL, Barker DH, Cruz I, Snell C, Grimley ME, Botteri M, et al. Parenting stress among parents of deaf and hearing children: associations with language delays and behavior problems. Parenting, Science and Practice. 2010;10(2):136–155. doi: 10.1080/15295190903212851. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Bevans KB, Riley AW, Forrest CB. Development of the healthy pathways parent-report scales. Quality of Life Research. 2012;21(10):1755–1770. doi: 10.1007/s11136-012-0111-0. [DOI] [PubMed] [Google Scholar]
  • 54.Norman GR, Sloan JA, Wyrwich KW. Interpretation of changes in health-related quality of life: the remarkable universality of half a standard deviation. Medical Care. 2003;41(5):582–592. doi: 10.1097/01.MLR.0000062554.74615.4C. [DOI] [PubMed] [Google Scholar]
  • 55.Allegretti CM. The effects of a cochlear implant on the family of a hearing-impaired child. Pediatric Nursing. 2002;28(6):614–620. [PubMed] [Google Scholar]
  • 56.Wang NY, Carson CM, Niparko JK CDaCI Team. Representativeness in studies of early cochlear implantation. American Annals of the Deaf. 2012;157(3):249–250. doi: 10.1353/aad.2012.1624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Cheng AK, Rubin HR, Powe NR, Mellon NK, Francis HW, Niparko JK. Cost-utility analysis of the cochlear implant in children. JAMA. 2000;284(7):850–856. doi: 10.1001/jama.284.7.850. [DOI] [PubMed] [Google Scholar]
  • 58.Starfield B. Measurement of outcome: a proposed scheme. The Milbank Memorial Fund quarterly. Health and Society. 1974;52(1):39–50. [PubMed] [Google Scholar]
  • 59.Niparko JK, Tobey EA, Thal DJ, Eisenberg LS, Wang NY, Quittner AL, et al. Spoken language development in children following cochlear implantation. JAMA. 2010;303(15):1498–1506. doi: 10.1001/jama.2010.451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Geers AE, Nicholas JG, Sedey AL. Language skills of children with early cochlear implantation. Ear and Hearing. 2003;24(1 Suppl):46S–58S. doi: 10.1097/01.AUD.0000051689.57380.1B. [DOI] [PubMed] [Google Scholar]
  • 61.Govaerts PJ, De Beukelaer C, Daemers K, De Ceulaer G, Yperman M, Somers T, et al. Outcome of cochlear implantation at different ages from 0 to 6 years. Otology & Neurotology. 2002;23(6):885–890. doi: 10.1097/00129492-200211000-00013. [DOI] [PubMed] [Google Scholar]
  • 62.Schauwers K, Gillis S, Daemers K, De Beukelaer C, Govaerts PJ. Cochlear implantation between 5 and 20 months of age: the onset of babbling and the audiologic outcome. Otology & Neurotology. 2004;25(3):263–270. doi: 10.1097/00129492-200405000-00011. [DOI] [PubMed] [Google Scholar]

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