Factors Impacting The Quality of Life of Children With Hearing Loss: A Literary Review

2012 ◽  
Vol 3 (4) ◽  
pp. 1-3 ◽  
Author(s):  
J. Raj Lavanya ◽  
◽  
Dr. SwarnaKumari Dr. SwarnaKumari
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Amy L. Zhang ◽  
Brandon Malik Wahba ◽  
Judith E.C. Lieu

2020 ◽  
Vol 128 ◽  
pp. 109701
Author(s):  
Tirza F.K. van der Straaten ◽  
Carolien Rieffe ◽  
Wim Soede ◽  
Anouk P. Netten ◽  
Evelien Dirks ◽  
...  

2020 ◽  
Author(s):  
Cathy Y. Yu ◽  
Donna B. Jeffe ◽  
Margaret A. Kenna ◽  
John A. Germiller ◽  
Judith E.C. Lieu

2011 ◽  
Vol 22 (10) ◽  
pp. 644-653 ◽  
Author(s):  
Amy M. Umansky ◽  
Donna B. Jeffe ◽  
Judith E.C. Lieu

Background: Few quality of life (QOL) assessment tools are available for children with specific chronic conditions, and none have been designed specifically for children with hearing loss (HL). A validated hearing-related QOL questionnaire could help clinicians determine whether an intervention is beneficial and whether one intervention is better than another. Purpose: To examine QOL in children with HL and assess the validity, reliability, and factor structure of a new measure, the Hearing Environments and Reflection on Quality of Life (HEAR-QL) questionnaire. Research Design: A descriptive and correlational study of a convenience sample of children. Study Sample: Participants included 35 children with unilateral HL, 45 with bilateral HL, and 35 siblings with normal hearing. Data Collection and Analysis: Children 7–12 yr old were recruited by mail from a tertiary-care pediatric otolaryngology practice and the local county's Special School District. With parent consent, children completed the validated Pediatric Quality of Life Inventory™ (PedsQL) 4.0 and a 35-item HEAR-QL questionnaire. The factor structure of the HEAR-QL was determined through principal components analysis (PCA), and mean scores were computed for each subscale and the total HEAR-QL. Three weeks following the return of the initial questionnaires, a second HEAR-QL questionnaire was sent to participants to assess test–retest reliability. Both PedsQL and HEAR-QL scores were compared between children with and without HL, between children with unilateral and bilateral HL, and between children who used and did not use a hearing device using analysis of variance. Sensitivity and specificity were calculated for both the HEAR-QL and the PedsQL. A multivariable, hierarchical linear regression analysis was conducted with independent variables associated with the HEAR-QL in unadjusted tests. Results: Using exploratory PCA, the 35-item HEAR-QL was reduced to 26 items (Cronbach's α = 0.97, sensitivity of 91% and specificity of 92% at a cutoff score of 93.5) loading on three factors: difficulty hearing in certain environments/situations (Environments α = 0.97), impact of HL on social/sports activities (Activities α = 0.92), and impact of HL on child's feelings (Feelings α = 0.88). Sensitivity of 78.8% and specificity of 30.9% at a cutoff score of 69.6 on the PedsQL (at risk for impaired QOL) were lower than for the HEAR-QL. Participants with HL reported significantly lower mean total HEAR-QL scores (71 [SD 18] vs. 98 [SD 5], p < .001), but not mean total PedsQL scores (77 [SD 14] vs. 83 [SD 15], p = .47), than participants with normal hearing. Among children with bilateral HL, children who used a hearing device reported lower mean total HEAR-QL scores (p = .01), but not mean total PedsQL scores (p = .55), than children who did not use a hearing device. The intraclass correlation coefficient for test–retest reliability for the 26-item HEAR-QL total score was 0.83. Hearing status and use of a device were independently associated with the HEAR-QL, and the variables in the model accounted for 46% of the HEAR-QL total score variance. Conclusions: The HEAR-QL appears to be a valid, reliable, and sensitive questionnaire for children with HL. The HEAR-QL was better able than the PedsQL to distinguish between children with and without HL and can help evaluate interventions for children with HL.


2020 ◽  
Vol 13 (2) ◽  
pp. 33
Author(s):  
Olga María Alegre de la Rosa ◽  
Luis Miguel Villar Angulo

This study aimed to evaluate two objectives: first, the health-related quality of life (HRQoL) and socio-demographic characteristics of children with cochlear implants (CIs) or hearing aids (HAs) on the Kid-KINDLR_children_7-13 questionnaire, and second to analyze parental background factors and the perceptions of their children with CIs or HAs on the Kid_Kiddo-KINDLR_Parents_ 7-17 questionnaire. The data consisted of 89 children with CIs and 63 children with HAs and their 89 parents, respectively. The characteristics of children and the parental factors included demographic and audiological variables. Student’s t-test and one-way ANOVA were used to analyze the two objectives. Children with CIs exhibited a perception of better HRQoL in comparison with children with HAs. Among other differences, children with CIs or HAs and their parents were significantly distinct in the variable Setting (t = 2.921, p < 0.010). Moreover, parents of children with CIs or HAs were significantly different among them in some background factors (i.e., age, socioeconomic status, and learning). Children with CIs and their parents demonstrated a perception of better HRQoL than children with HAs and their parents. These findings added to the existing knowledge about the benefits of CIs for children with hearing loss. Parents of children with CIs noted the significance of social and emotional development as a marker of well-being in their children’s lives.


2020 ◽  
Vol 4 (s1) ◽  
pp. 139-139
Author(s):  
Brandon Malik Wahba ◽  
Judith Lieu

OBJECTIVES/GOALS: This study evaluates the utility of self-reported quality of life measure in children with hearing loss. We will compare self-reported HEAR-QL scores with parent-reported HEAR-QL scores. We will then test the relationship between HEAR-QL scores and scores on a standardized assessment of cognition, the NIH Cognition Battery. METHODS/STUDY POPULATION: We will administer the HEAR-QL questionnaire to children with hearing loss and their parents. We will then administer the NIH Cognition Battery to the child. We will include in our population children ages 7 to 14 with hearing loss of any severity or side. We will exclude those with intellectual disability, disorders of speech or language, or those who would be unable to complete the questionnaires for any reason. Children will be recruited from Otolaryngology clinics at St. Louis Children’s Hospital based on ICD diagnosis of sensorineural hearing loss between 01/2015 – 03/2020. RESULTS/ANTICIPATED RESULTS: We will aim to recruit 44 patients in total, which is the sample size needed to detect a moderate correlation (r = 0.4) with a 1-sided α = 0.05 and 1-β = 0.8. HEAR-QL scores and NIH Cognition Battery scores will be reported using descriptive statistics. Linear regression as well as correlation analysis between HEAR-QL scores and cognitive testing scores will be performed using a 1-sided α = 0.05, with 1-β = 0.8. If recruitment is sufficient, we will adjust for demographics that are significantly correlated with the outcome on multivariate analysis. Finally, we will test for agreement between parent report and child report by calculating a Kappa statistic. DISCUSSION/SIGNIFICANCE OF IMPACT: There is little clarity on the necessity of amplification in children with hearing loss, yet the child’s perspective is not routinely assessed in clinical practice. This study employs self-report in a pediatric population with hearing loss to find out if children provide new and reliable information.


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