Translation and Validation of the “Hearing Impairment Impact–Significant Other Profile (HII-SOP): A Tool to Measure Hearing Loss–Related Quality of Life in Spouses of People With Hearing Loss” Into Kannada

Article information

J Audiol Otol. 2026;30(3):171-180
Publication date (electronic) : 2026 June 25
doi : https://doi.org/10.7874/jao.2025.00248
1Department of Audiology and Speech Language Pathology, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India
2Department of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India
Address for correspondence Usha Shastri, MSc, PhD Department of Audiology and Speech Language Pathology, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka–575001, India Tel +91-9738803401 Fax +91-824-2428379 E-mail usha.shastri@manipal.edu
Received 2025 April 25; Revised 2025 September 16; Accepted 2025 October 16.

Abstract

Background and Objectives

Hearing loss can have direct adverse effects on the significant others (SOs) of individuals with hearing loss. The term “third-party disability” is used to refer to the difficulties faced by family members because of the health conditions of their SOs. The “Hearing Impairment Impact–Significant Other Profile (HII-SOP)” is a tool designed to measure hearing loss–related quality of life among spouses of English speakers with hearing loss. In the present project, we have sought to translate the HII-SOP questionnaire into Kannada, a southern Indian language spoken by 43.7 million people, and validate it.

Subjects and Methods

In the first phase, we translated the questionnaire into Kannada following a structured protocol. In the second phase, we evaluated the psychometric properties by administering the translated version (HII-SOP-K) to 57 SOs of individuals with hearing loss. The sample included spouses, children, and other caregivers of individuals with hearing loss who were native speakers of Kannada (mean age: 47.96 years).

Results

The HII-SOP-K showed excellent internal consistency (Cronbach’s α=0.90) and strong test–retest reliability (intraclass correlation coefficient: 0.914). Exploratory factor analysis revealed that the five factors accounted for 58.3% of the variance. Most SOs reported mild-to-moderate third-party disabilities. The relationship between SOs (spouses, children, and others) and individuals with hearing loss had no significant effect on HII-SOP-K scores.

Conclusions

The Kannada version of the HII-SOP is a valid and reliable tool for assessing third-party disabilities among the SOs of individuals with hearing loss. Assessment of third-party disabilities will facilitate patient- and family-centered audiological care and may enable the inclusion of SOs in the aural rehabilitation of individuals with hearing loss and facilitate a comprehensive understanding of third-party disability among Kannada speakers; thus, HII-SOP-K is suitable for use in clinical and research contexts among Kannada speakers.

Introduction

Over 900 million individuals, or one in ten, are predicted to experience hearing loss by the year 2050. The prevalence of disabling hearing loss increased from 27% in 2012 to 28.2% in 2018, and South Asia accounted for a relatively large portion of the worldwide disabling hearing loss burden [1]. According to the 2011 Indian Census, 2.21% of Indians were living with a disability with hearing loss contributing to 19% of the total disability [2].

Communicating with people with hearing loss requires more cognitive effort [3,4]. Hearing loss has a direct negative effect on the family members of individuals with hearing loss (IHL). Family members need to utilize more energy to communicate, such as by repeating themselves, speaking more slowly and loudly than they do at a normal speaking rate, and moving closer to be heard and to receive attention. As an outcome of the partner’s hearing loss, caregivers report anxiety and stress; limitations in verbal communication; changes in social activities; avoidance behavior toward social gatherings; and feelings of isolation, frustration, and guilt, which ultimately reduce their quality of life (QoL) [5-7].

The QoL is defined by the World Health Organization as an individual’s subjective assessment of their reality, as it relates to their aspirations as seen through the prism of their culture and value system [8]. The importance of QoL measurement is growing, as a more comprehensive understanding of outcomes during and after illness is needed [9]. It has been demonstrated that QoL measures are legitimate, dependable, and appropriate for use in the clinical or research context [10]. As described above, family members of IHL may experience reduced QoL, and this is linked to the concept of third-party disability. “Third-party disability” is described as the disability of family members due to the health condition of their significant others (SOs). Humans are social beings; as a result, any health issue that a person has also has an impact on his or her SOs and family members, especially the spouse [11-13]. Thus, third-party disability may be experienced by family members of IHL. Audiologists/clinicians aspire to attain a comprehensive understanding of the challenges, coping mechanisms, and overall well-being within these relationships [12]. Hence, the measurement of third-party disability has the potential to offer valuable insights, facilitating the presence of SOs in aural rehabilitation programs.

Presently, two questionnaires are available in English for measuring third-party disability in the spouses of IHL. First, the Hearing Impairment Impact–Significant Other Profile (HII-SOP) was developed by Preminger and Meeks [14]. The HII-SOP scale with 20 questions exhibited strong test–retest reliability (r=0.90), indicating consistent measurements over time. The low standard deviation (SD) of the difference scores (10.03) and calculated critical difference scores (16.5 at 90% and 19.7 at 95%) underscore the stability of the HII-SOP scores. Changes exceeding 20 points are indicative of meaningful variations in third-party disability with 95% confidence. Second, the Significant Other Scale for Hearing Disability (SOS-HEAR) was developed by Scarinci, et al. [15]. It is a set of 27 reliable items (α=0.94) with weighted kappa values ranging from fair to very good. The SOS-HEAR, characterized by its brevity and ease of administration, demonstrates both reliability and validity. Some translated versions of these questionnaires are available. However, to the best of our knowledge, these questionnaires are not validated in the translated versions of other languages. For example, Philpott, et al. [16] reported a Dutch version of HII-SOP without validating it. Similarly, in Indian context, Nandurkar and Shende [17], while investigating the effect of degree of hearing loss on the third-party disability experienced by spouses of elderly people with hearing loss, have translated the SOS-HEAR to Marathi and Hindi without formal validation. Investigators have used HII-SOP [18] and SOS-HEAR [19] in other Indian studies as well; however, the language in which the test was administered is not mentioned.

A notable limitation is that these questionnaires are not available in Kannada, the predominant language in Karnataka. In India, there are approximately 4.37 crore Kannada-speaking individuals [20]. To address this linguistic gap and comprehensively evaluate the QoL of Kannada-speaking family members of IHL, there is a compelling need to translate the existing questionnaires into Kannada. This helps the family members to report their actual feelings. This linguistic adaptation is essential to ensure a culturally relevant and inclusive assessment. When a questionnaire is to be used in non-English speaking countries, the first choice for the researchers and clinicians is to translate the existing questionnaire and confirm its psychometric properties [21]. Here, researchers prefer the term ‘‘cross-cultural adaptation’’ which describes the process that considers both language issues (translation) and cultural adaptation (idiom, cultural context, and lifestyle) when modifying an existing questionnaire for another geographical setting or for people in a country that has diversity in languages and cultures [21,22]. A recent study by Chundu, et al. [23] highlighted the differences in the social representation of hearing aids among IHL from four countries including India. Thus, it is reasonable to expect that some cultural differences might exist between English and any other Indian languages.

In this context, we would like to acknowledge a few materials that exist in Kannada or Indian context. For example, problem question and life effects question have been translated into Kannada [24]. In addition, an International Classification of Functioning, Disability and Health (ICF)-based questionnaire to assess QoL of parents who have children with hearing loss has been developed [25]. Another questionnaire in Kannada is Assessment of Quality of Life–4 Dimensions (AQoL-4D) [26,27], which has been recently adapted to be administered to parents of children with hearing loss [28]. However, it is to be noted here that these tools are specific for the assessment of stress or QoL of parents of children with hearing loss. These tools do not address the QoL issues arising from communication difficulties with an adult family member with acquired hearing loss. Hence, the present study aimed to translate and validate the HII-SOP questionnaire into the Kannada language and to assess the internal consistency and test-retest reliability of the translated questionnaire.

Subjects and Methods

The present study was conducted at a tertiary hospital in Mangalore, Karnataka, and was approved by the Institutional Ethics Committee (IEC KMC MLR 04/2024/237). The sample size for the study was calculated based on the following formula: n = [(Zα + Zβ)/C]2 + 3, where, Zα is confidence level of 95% (1.96), Zβ is 90% of power (1.28), and C is correlation coefficient, which is calculated as: C = 0.5 × log[(1 + r)/(1 - r)], where the test-retest correlation coefficient ‘r’ value of 0.90 was taken from the reference study [14]. With the above values, the minimum sample size required for the study was 57. A convenient sampling method was used.

The SOs of IHL who visited the department of audiology and speech language pathology and fulfilled the inclusion criteria were approached to seek their willingness to participate in the study. Those who showed interest in participating and provided informed consent were included in the study. A total of 57 SOs of IHL who were proficient in Kannada participated. The reading proficiency was ensured by a rating of 7 (good) or above for Kannada in Language Experience and Proficiency Questionnaire (LEAP-Q) [29,30]. The SOs were included in the study only if they had been living with the IHL for at least past five years and were communicating with them daily. There were 21 males and 36 females with a mean age of 47.96 years (SD=15.64). There was a total of 18 spouses (31.6%), 27 children (47.4%), and 12 individuals (21.1%) with other relationships with IHL, such as siblings and parents. IHL had varying degrees (mild to profound) and types of acquired hearing loss, with or without amplification devices. Exclusion criteria included SOs with self-reported hearing loss or psychiatric conditions. Table 1 provides descriptive demographic details such as age, gender, education, and employment status of IHL and their SOs. The IHL had a mean duration of hearing loss of 5.87 years (SD=5.29), with a range of 5 months to 26 years. Among the 57 IHLs, seven reported using hearing aids, three of whom used unilateral hearing aids and four of whom used bilateral hearing aids.

Demographic details of individuals with hearing loss and their significant others

The study followed a two-phase methodology: translation and adaptation of the questionnaire into Kannada (Phase I) and administration of the questionnaire to SOs (Phase II). The translation process adhered to the guidelines of Hall, et al. [21] and involved six steps: preparation, forward translation, back translation, expert committee review, field testing, and review and finalization of the translation. The LEAP-Q [29,30] was given to all bilingual translators to rate their Kannada and English proficiency from 0 (none) to 10 (perfect). A rating of 8 (very good) or above was accepted for the translation process [29,30]. Two individuals (one audiologist and speech-language pathologist and one professional translator) translated from the original English language to the target Kannada language. This information was compiled together to form the final questionnaire in the target language. Backward translation was performed by two independent translators (one audiologist and speech-language pathologist and one professional translator) who were proficient in English and the Kannada language. Validation was performed by five experts who were professors, doctors, and teachers proficient in both original and target language. They were also aware of the context and the concept of the questionnaire. A pilot test was performed on 15 respondents, and a final review of the translated version of the HII-SOP was performed to check whether there were any grammatical errors or spelling errors.

The Kannada version of the HII-SOP (HII-SOP-K) was validated and administered in a structured manner with clear instructions, ensuring accurate responses. The first author provided the printed copy of the questionnaire to the participants. The data collected included demographic details, hearing loss characteristics of IHL, and administration of the self-report questionnaire, with assistance provided if needed. The participants provided written responses on the hard copy of the questionnaire. A description of the questionnaire is provided below.

The HII-SOP is a 20-item questionnaire with three subscales that measure: 1) relationships and emotions, including the emotional and relational impact of hearing loss (11 items); 2) social impact, including the effect of hearing loss on the social life of spouses or SOs (4 items); and 3) communication strategies used by spouses or SOs (5 items). Each question had to be rated on the rating scale: “Yes,” “Sometimes,” or “No.” The scoring is as follows: “Yes”=5 points, “Sometimes”=2.5 points, and “No”=0 points. Each subscale score is to be noted, and the scores of all subscales are to be summed to obtain the total score. The total score is used to assess the QoL or third-party disability, where a score of 0 indicates no problems and a score of 100 indicates severe problems in their QoL. The total scores are also used to grade the difficulty level faced by their SOs such that <20 is no third-party disability, 20 to 39 is mild third-party disability, 40 to 59 is moderate third-party disability, and >60 is severe third-party disability [14]. In the Kannada version, the term “significant other” was changed to mean “significant family member.” This was done for two reasons. First, the term SO is not a familiar word in the context of Kannada. Second, we did not want to use the term “spouse” as we intended the wider application of the questionnaire to diverse important family members of IHL who interact with them daily.

Data analysis, including descriptive statistics, internal consistency (Cronbach’s alpha), item–drop correlation, interitem correlation, exploratory factor analysis, and test–retest reliability via the intraclass correlation coefficient (ICC), was conducted via SPSS Version 29.0 [31] and JASP 0.19.3 [32]. The Kruskal–Wallis test was used to assess differences in third-party disability based on SO relationship type.

Results

Descriptives of HII-SOP-K scores

Table 2 provides the descriptive statistics of the HII-SOP-K scores obtained by the SOs. Table 2 also provides the maximum possible scores that can be obtained in each subdomain and the total score. The “mean/total” row shows the percentage of third-party disability for each subscale and the total scale. Inter-item correlations of questions within each subscale and the total scale are provided in the last row of Table 2. A majority of correlations were weak to moderate [33]. The distribution of HII-SOP-K scores across different severity levels of third-party disability in SOs revealed that 21 individuals (36.8%) experienced mild third-party disability, 19 (33.3%) had no third-party disability, 13 (22.8%) had moderate disability, and 4 (7.0%) experienced severe third-party disability.

Descriptive statistics of HII-SOP-K total and subdomain scores obtained by significant others

Reliability assessment

The translated scale demonstrated excellent internal consistency, with an overall Cronbach’s alpha of 0.90. Additionally, Cronbach’s alpha was calculated after each item was removed from the questionnaire. The values for Cronbach’s alpha, with a 95% confidence interval, ranged from 0.836–0.941, indicating that every item contributed significantly to the overall scale. A detailed breakdown of Cronbach’s alpha for each questionnaire item is provided in Supplementary Table 1 (in the online-only Data Supplement). An internal consistency assessment was also performed for each of the five factors that were obtained during factor analysis (described below in the next section). The Cronbach’s alpha for this analysis is reported in Table 3. Table 3 shows that the first three factors had good reliability, whereas last two factors had questionable reliability.

Exploratory factor analysis using a varimax rotation method for all items of HII-SOP

Exploratory factor analysis

To validate and identify the underlying structure of the translated questionnaire, exploratory factor analysis (EFA) was performed via the principal axis factoring method with orthogonal varimax rotation. The Kaiser–Meyer–Olkin (KMO) test and Bartlett’s test of sphericity were used to assess the sampling adequacy. The KMO values should be greater than 0.5 [34], and the overall KMO value was 0.786 for the present data, confirming the adequacy of the sample for analysis. The significant results of Bartlett’s test of sphericity (χ2(190)=591.691, p<0.001) indicated that the correlations between items are sufficiently large for factor analysis [35]. Goodness of fit of the model was evaluated via the chi-square test. The chi-square test value was not statistically significant (χ2(100)=111.002, p=0.212), indicating a satisfactory fit of the obtained data to the proposed model. An additional root mean square error of approximation (RMSEA) model fit index value of 0.04 was obtained, which further strengthened the interpretation of good fit. The RMSEA is an absolute fit index that assesses how far a hypothesized model is from a perfect model. Researchers have suggested that the RMSEA values of less than 0.05 indicate that a model has close fit, while values in the range of 0.05 to 0.08 indicate fair fit and values greater than 0.10 indicate poor fit [36]. A cut-off value close to 0.06 is suggested by others [37].

In the present study, five factors were extracted based on the eigenvalue ≥1. Factor loadings greater than 0.4 were considered for each item to load onto a particular factor. Factor 1 comprised questions 7, 20, 4, 9, 13, 17, 5, and 14, which describe frustration, relationship dissatisfaction, and intimacy-related challenges. Factor 2 included questions 5, 14, 3, 11, and 16, which describe the emotions that can arise in SOs because of the individual’s hearing loss. Factor 3 consisted of 8, 18, and 12 questions, which describe social and lifestyle impacts and difficulties during social interaction. Factor 4 consisted of questions 6 and 19, which describe the additional effort required for communication, including visual cues and attentional strategies. Factor 5 consisted of questions 2, 15, and 1, which describe interactional adjustments, such as speaking louder or repetition or modifying environmental settings. Question 10 did not align with any of the identified factors. Additionally, questions 5 and 14 exhibited cross-loading (factor 1 and factor 2) (Table 4). The cumulative variance accounted for by these five factors was 58.3%. The variance accounted for by each factor is shown in Table 3.

Factor characteristics with unrotated solution for all the factors of HII-SOP and Cronbach’s alpha of internal consistency for each factor

Test-retest reliability

Retests were conducted on a small sample of six individuals between seven days and one month after the initial assessment. The results of the ICCs for the three subscales and the total scores of the HII-SOP-K are shown in Table 5. ICC values ranging between 0.75 and 0.90 indicate good test–retest reliability, and values greater than 0.90 indicate excellent reliability [38]. Among the three subscales, relationship and emotions and social impact have excellent reliability, whereas communication strategies indicate good reliability. The total score suggests excellent test–retest reliability of the HII-SOP-K.

Interclass correlation coefficient for different measures

The mean difference between the test and retest HII-SOP-K scores was 7.08 (SD=4.31). The SD of the difference scores was multiplied by the critical value of an assumed normal distribution to calculate critical difference scores [14]. To obtain a 95% critical difference, the SD was multiplied by 1.96, which is equal to 8.44. Thus, the HII-SOP-K scores must change by at least 9 points for a true change to have occurred with 95% probability.

Comparison of third-party disability experienced by SOs on the basis of their relationships with IHL

Understanding third-party disability across various relationships between SOs and IHL was of interest, although it was not the main objective of the study. This is important because the present study participants were not only spouses of IHL but also children and others. For this analysis, three groups of SOs were made—spouses, children, and others. Others included all other relationships apart from spouses and children. Fig. 1 shows the mean HII-SOP-K scores obtained for these three groups. The Kruskal–Wallis test revealed no significant difference in HII-SOP-K scores among these three groups (H(2)=0.626, p=0.731), indicating that the SOs in the present study experienced similar levels of third-party disability irrespective of their relationship with the IHL. We further probed into the subscale scores across the relationship categories with Kruskal–Wallis test, which suggested that the scores obtained by spouses, children, and others were not significantly different across the three subscales: relationship and emotions (H(2)=0.614, p=0.736), social impact (H(2)=0.502, p=0.778), and communication strategies (H(2)=0.017, p=0.992). Fig. 2 shows the raincloud plot of the scores obtained by spouses, children, and others across the three subscales. A raincloud plot provides individual participant data, summary statistics in the form of box plot, and the distribution of raw data. From Fig. 2, it can be noted that the median scores for the relationship and emotions were similar across spouses, children, and others. However, the IQR was large for others, followed by spouses and children. With respect to communication strategies subscale, the median and IQR for children and others were similar, whereas the median and IQR for spouses were slightly lower. Further, the median for social impact subscale was 0 for children and spouses, while others and spouses exhibited larger IQR.

Fig. 1.

HII-SOP-K scores across spouses (n=18), children (n=27) and other SOs (n=12) of individuals with hearing loss. HII-SOP-K, Kannada version of the Hearing Impairment Impact–Significant Other Profile; SOs, significant others.

Fig. 2.

Raincloud plot of the scores obtained by children (n=27), other SOs (n=12), and spouses (n=18) across the three subscales: relationship and emotions (A), communication strategies (B), and social impact (C). In each panel, individual participant data are provided on the left, summary statistics in the form of box plot with median and interquartile range in the middle, and the distribution of raw data on the right. SOs, significant others; HI, hearing impaired.

Discussion

Third-party disability: impact of hearing loss on the SOs of IHL

The concept of third-party disability has been well documented, emphasizing that the effects of hearing loss extend beyond the individual to those closest to them. This study supports previous literature, indicating that family members of IHL report decreased QoL due to communication strain, social isolation, and changes in relationship dynamics [11,12]. The mean total score of 30.22 in the present study is very similar to that of 32.87 obtained in the original English version developed by Preminger and Meeks [14] and of 31.4 obtained by Rajasekaran, et al. [18] for the Indian population. Notably, the participants in both studies were only spouses, whereas the present study population included SOs other than spouses. In communication strategy domain of the present study, the mean score (13.68) is like that of English version (11.62). However, the Indian study reported a lower score (9.7) than the above two studies. When the mean social impact domain score of the present study (3.07) is compared to that obtained in the original English version (2.99) and that reported in the Indian population (6), it can be noted that the Indian study obtained higher score than other two studies. On the other hand, the mean score obtained for the relationship and emotions domain (13.46) in the present study was similar to that obtained by the Indian population (15.8), but lower than the score in the English version (18.26).

From the above comparisons, it can be observed that there are similarities and differences in the scores obtained among three studies. While the total scores are similar in these investigations, communication strategies and social impact subscale scores were similar in the present study and the English version. However, the relationship and emotions subscale scores were similar in the present and Indian studies and were lower as compared to English version. Though this cannot be statistically compared, the relationship and emotions domain appeared to be less affected in the present study sample. Hallam, et al. [39] reported that many family members make adjustments and necessary changes for the IHL with unquestioned commitment, respect, and consideration. However, this will not be the case in all families and relationships [40]. Whether the adjustments made by the SOs are perceived in a positive or negative way may depend on the prior state of the relationship and the personalities involved [39]. Considering the diversity of the relationship of SOs with IHL in the present study and small sample size, studies should be conducted on a large sample to validate the findings of present study. The present study aimed to validate the HII-SOP-K and did not attempt to investigate the nature and severity of third-party disability experienced by different SOs in Indian context.

Reliability and validity of the HII-SOP-K questionnaire

The HII-SOP-K demonstrated high reliability and internal consistency (Cronbach’s alpha=0.90), which is similar to the original English version (Cronbach’s alpha=0.93). Additionally, Cronbach’s alpha was calculated after each item was removed from the questionnaire, which indicated that every item contributed significantly to the overall scale. Thus, the HII-SOP-K measures a single construct. These findings are consistent with the English version of the HII-SOP [14]. Hence, the HII-SOP-K can be utilized for the assessment of third-party disability among the SOs of IHL who speak and understand the Kannada language.

Factor structure comparison between the English and Kannada versions of the HII-SOP

The original English version [14] had a total of three factors that explained 50.7% of the variance in the data. In contrast, the present HII-SOP-K has five factors that explain 58.3% of the total variance in the responses. This means that these five factors captured most of the differences in how the SOs responded to the questionnaire. Additionally, the percentage of variance explained is greater than that in the original version. The questions under each factor were noted to understand the underlying dimensions in HII-SOP-K. Notably, the first factor consisted of eight questions, seven of which belong to the category of “relationships and emotions” of the English version. In the second factor, all five questions belonged to the category of “relationships and emotions” of the English version. Notably, questions 5 and 14 demonstrated cross-loadings on factors 1 and 2, both of which were related to the “relationships and emotions” domain. Overall, factors 1 and 2 of HII-SOP-K represent the “relationships and emotions” dimension of third-party disability.

Factor 3 consisted of three questions, all of which were from the dimension of “social impact” of the English version. The last two factors of 4 and 5 consisted of three and two questions, respectively. These five questions explained the underlying dimension of “communication strategies.” The above comparison reveals that although the number of factors differed between the English version and the Kannada version, the underlying dimensions remain similar. These findings strengthen the validity of HII-SOP-K. Moreover, it is not uncommon to obtain different numbers of factors between different language versions of the same questionnaire. The reason could be due to linguistic and semantic differences, cultural and contextual adaptations, methodological variations, and translator interpretations. Additionally, the original text may have used broad categories that needed to be further defined for clarity or may have used different analytical approaches that resulted in different classifications [41,42].

An internal consistency analysis of the HII-SOP-K with questions retained as it is in the English version, revealed acceptable reliability for the “communication strategies” scale and good reliability for the other two scales. In total, the HII-SOP-K scale and its subscales have adequate internal consistency reliability, suggesting that the 20 items measure a single construct and that the subscales measure distinct subconstructs. In addition, consistent with the original scale, most of the inter-question correlations were less than 0.5, suggesting the unique contribution of each question to the total scale.

Test–retest reliability

Both versions revealed very high test–retest reliability (0.90). Hence, similar to the HII-SOP, the Kannada version can be used in clinical settings to measure the effects of aural rehabilitation. A change of 9 points is considered significant for HII-SOP-K. This change is very small compared with the expected difference of 20 points observed in HII-SOP. A probable reason for this difference could be the small sample size used for the retests in the present study. Hence, the present critical value can be considered a preliminary finding, and the replicability of test–retest results in a large sample should be done to confirm if this critical value is consistent.

Diversity of the study population and applicability of English and Kannada versions of the HII-SOP to different communication partners

Since the English version of the HII-SOP was validated in spouses aged between 23 and 82 years, Preminger and Meeks [14] proposed that the HII-SOP is appropriate for spouses across all ages. The age range of the present study participants was similar to that of the original study (20–85 years). Thus, HII-SOP-K can be considered appropriate for measuring third-party disability in SOs across all ages. Furthermore, the present study participants had diverse educational backgrounds. Hence, HII-SOP-K is applicable to those SOs who are proficient in reading and understanding Kannada. In the present study population, the SOs included not only spouses of the IHL but also their children and others. Thus, HII-SOP-K is suitable for any SO who is living with the IHL and is interacting with them daily.

The literature shows that spouses of IHLs report frustration due to frequent communication breakdowns; irritation and embarrassment related to the impact of hearing loss in social situations; and tension, worry, and concern about the problems experienced by their partner with hearing loss [7,12,43]. On the other hand, Preminger, et al. [44] explored the third-party disability experienced by adult children with IHL. The findings revealed that adult children often face significant challenges in communication, requiring increased effort that leads to negative emotional outcomes, such as irritability and frustration. The study also indicated that adult children experienced a greater sense of uncertainty regarding their parents’ health and communication needs than their spouses did. The authors attributed this discrepancy to the fact that adult children typically do not live together with their parents or accompany them to medical appointments, which limits their access to information and support. In the Indian context, many adult children live with their parents, leading to different relationship dynamics between parents and children.

Manchaiah, et al. [40] reported that communication partners such as friends, colleagues, and caregivers also experienced significant emotions such as frustration, anger, and embarrassment, along with a notable reduction in social interactions stemming from communication breakdowns. Furthermore, they emphasized that the spouses of IHL were most affected across the communication, social, and emotional dimensions. However, in the present study, a comparison of three subscales of the HII-SOP-K among the three categories of SOs did not reveal any significant differences. Manchaiah, et al. [40] hypothesized that SOs who appeared to have a positive attitude towards life reported fewer psychosocial consequences and coped well. Such SOs also had some experience in dealing with other chronic conditions. Further, research also suggests that there is considerable variation in how caregivers adapt to their care-giving demands [45]. The experiences of SOs change over time as they adapt to the hearing loss of their family member [40]. Thus, several factors could have influenced the HII-SOP-K score of the present study sample. Studies are warranted on a large sample across diverse types of SOs to understand the third-party disability experienced at different phases in the journey of SOs as communication partners of IHL.

SOs typically understand the IHL and experience the communication difficulties caused by the hearing impairment on a daily basis [46]. Since any SO of IHL can experience third-party disability, a tool assessing this construct should be applicable to all SOs who might communicate with IHL. During the process of translation adaptation, care is taken in the choice of words such that all the questions are equally applicable to any SO of the individual with hearing loss and not specifically applicable to spouses only. Taken together, the applicability of HII-SOP-K extends beyond the scope of spouses and is suitable for assessing third-party disability in any SO of an IHL.

Applications of the HII-SOP-K

The experiences of SOs of IHL change over time. Understanding the different phases of adjusting to the hearing loss of their family members by SOs is important for audiologists during counseling, such that the information provided is tailored to meet the individual SO’s needs [40]. Exploring the effects of different variables such as age, gender, the prior quality of the relationship, personality characteristics, and coping with other medical conditions or sensory impairments is of questions of research and clinical interest. Thus, HII-SOP-K can be used in both research and clinical settings to understand the third-party disability experienced by SOs of IHL who speak the Kannada language.

Conclusion

The current study translated and adapted the HII-SOP into the Kannada language. The SOs were spouses, children, siblings, or other significant family members of IHL. Overall, all the measures indicated that the translated HII-SOP-K possesses desirable psychometric properties and is a reliable and valid tool for assessing third-party disability in the SOs of IHL who speak the Kannada language.

Supplementary Materials

The online-only Data Supplement is available with this article at https://doi.org/10.7874/jao.2025.00248.

Supplementary Table 1.

Cronbach’s alpha for the HII-SOP-K with 95% CI if item dropped

jao-2025-00248-Supplementary-Table-1.pdf

Notes

Conflicts of Interest

The authors have no financial conflicts of interest.

Author Contributions

Conceptualization: Koushiki Ullal, Usha Shastri, Mohan Kumar Kalaiah. Data curation: Koushiki Ullal, Joyline Rodrigues, Anciya P. Pinto. Formal analysis: Usha Shastri, Himani Kotian. Investigation: Koushiki Ullal, Joyline Rodrigues, Anciya P. Pinto. Supervision: Usha Shastri, Mohan Kumar Kalaiah. Visualization: Usha Shastri, Mohan Kumar Kalaiah. Writing—original draft: Koushiki Ullal, Joyline Rodrigues, Anciya P. Pinto. Writing—review & editing: Usha Shastri, Mohan Kumar Kalaiah, Himani Kotian. Approval of final manuscript: all authors.

Funding Statement

None

Acknowledgments

None

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Article information Continued

Fig. 1.

HII-SOP-K scores across spouses (n=18), children (n=27) and other SOs (n=12) of individuals with hearing loss. HII-SOP-K, Kannada version of the Hearing Impairment Impact–Significant Other Profile; SOs, significant others.

Fig. 2.

Raincloud plot of the scores obtained by children (n=27), other SOs (n=12), and spouses (n=18) across the three subscales: relationship and emotions (A), communication strategies (B), and social impact (C). In each panel, individual participant data are provided on the left, summary statistics in the form of box plot with median and interquartile range in the middle, and the distribution of raw data on the right. SOs, significant others; HI, hearing impaired.

Table 1.

Demographic details of individuals with hearing loss and their significant others

Demographic parameters Individuals with hearing loss (n=57) Significant others (n=57)
Age (yr)
 Mean±SD 66.89±15.86 47.96±15.64
 Range 24-95 20-85
Sex
 Male 25 (43.9) 21 (36.8)
 Female 32 (56.1) 36 (63.2)
Education level
 Graduate or more 18 (31.6) 27 (47.4)
 12 years or less 39 (68.4) 30 (52.6)
Employment status
 Employed 23 (40.4) 32 (56.1)
 Unemployed/retired 34 (59.6) 25 (43.9)

Values are presented as n (%) unless otherwise indicated. SD, standard deviation.

Table 2.

Descriptive statistics of HII-SOP-K total and subdomain scores obtained by significant others

Communication strategy domain Relationship and emotions domain Social impact domain Total score
Mean±SD 13.68±6.48 13.46±12.12 3.07±4.98 30.22±19.83
Median (IQR) 15 (7.5-17.5) 10 (5-20) 0 (0-2.5) 27.5 (15-40)
Range 0-25 0-50 0-20 0-87.5
Possible range of score 0-25 0-55 0-20 0-100
Mean/Total 0.55 0.25 0.15 0.30
Inter-item correlations, Median (range) 0.373 (0.116-0.535) 0.382 (0.046-0.645) 0.485 (0.323-0.742) 0.302 (-0.049-0.742)

HII-SOP-K, Kannada version of the Hearing Impairment Impact–Significant Other Profile; SD, standard deviation; IQR, interquartile range.

Table 3.

Exploratory factor analysis using a varimax rotation method for all items of HII-SOP

Question number_subscale Factor 1 Factor 2 Factor 3 Factor 4 Factor 5 Uniqueness
7_R&E 0.745 0.342
20_R&E 0.726 0.217
4_SI 0.659 0.320
9_R&E 0.626 0.446
13_R&E 0.600 0.567
17_R&E 0.540 0.472
5_R&E 0.449 0.449 0.472
14_R&E 0.405 0.668 0.374
3_R&E 0.798 0.193
11_R&E 0.530 0.594
16_R&E 0.479 0.510
8_SI 0.874 0.213
18_SI 0.848 0.155
12_SI 0.659 0.469
6_CS 0.822 0.245
19_CS 0.519 0.568
2_CS 0.708 0.389
15_CS 0.514 0.610
1_CS 0.405 0.614
10_R&E 0.572

First column provides the question number and the subscale to which the question belongs to in the English version. R&E, relationships and emotions; SI, social impact; CS, communication strategies; HII-SOP, Hearing Impairment Impact–Significant Other Profile.

Table 4.

Factor characteristics with unrotated solution for all the factors of HII-SOP and Cronbach’s alpha of internal consistency for each factor

Factor Eigenvalues Proportion variance explained Cumulative variance explained Cronbach’s α
Factor 1 7.231 0.341 0.341 0.865
Factor 2 2.096 0.089 0.430 0.810
Factor 3 1.800 0.070 0.500 0.863
Factor 4 1.376 0.052 0.552 0.673
Factor 5 1.073 0.030 0.583 0.685

HII-SOP, Hearing Impairment Impact–Significant Other Profile.

Table 5.

Interclass correlation coefficient for different measures

Interclass corelation coefficient Single measure Average measure 95% CI for single measures 95% CI for average measures
Total 0.914 0.955 0.516-0.988 0.681-0.994
Communication strategies 0.733 0.846 -0.049-0.958 -0.103-0.978
Relationship and emotions 0.944 0.971 0.660-0.992 0.795-0.996
Social impact 0.938 0.968 0.625-0.991 0.769-0.995

CI, confidence interval.