Validation of Online Versions of Tinnitus Questionnaires Translated into Swedish

Introduction

Tinnitus is the perception of one or more sounds despite the physical absence of such sound(s) (Chan, 2009). This condition is chronically experienced by a large portion of the population (>15%) and severely debilitating for about 1–2% of the population, affecting sleep, concentration, and productivity at work (Dobie, 2003; Heller, 2003). Tinnitus is associated with a higher risk of receiving disability pension (Friberg et al., 2012) and perceived as an enormous socioeconomic burden (Cederroth et al., 2013). In the Netherlands, tinnitus-related costs have been estimated to be € 6.8 billion per year (Maes et al., 2013). The prevalence of tinnitus is age-dependent, peaking in the seventh decade of life (Nondahl et al., 2002; Gopinath et al., 2010a,b; Shargorodsky et al., 2010; Park B. et al., 2014; Park K. H. et al., 2014). Tinnitus remains a clinical enigma because of the lack of effective treatments for stopping phantom tinnitus perception (Chan, 2009). Presently, tinnitus assessment relies on self-report questionnaires and subjective psychoacoustic measures (Langguth et al., 2007). Tinnitus heterogeneity varies in its phenotypes and may be objective (emitted by the ear itself and perceivable by an external observer) or subjective (only perceived by the patient), chronic or occasional, pulsatile or non-pulsatile, noise or tonal, constant or intermittent, and unilateral or bilateral (Langguth et al., 2013). Tinnitus may present with a high number of etiologies (e.g., noise exposure, stress, or physical trauma) and a multitude of co-morbidities (e.g., hypertension or diabetes; Langguth et al., 2013). The large variety in tinnitus profiles is thought to partly responsible for the lack of success in clinical treatment trials (Tunkel et al., 2014). Thus, tools need to be urgently identified for reliably assessing tinnitus and enabling the classification of patient subgroups according to a defined set of characteristics.

Several efforts have been made to establish a consensus for patient assessment and outcome measurement (Langguth et al., 2007; Landgrebe et al., 2012; Zeman et al., 2012, 2014). Nevertheless, a recent systematic review has shown that more than 100 instruments are used for primary outcome measures in clinical trials (Hall et al., 2016), evincing that there is still no agreement on how to assess tinnitus. For this reason, a working group of the Cooperation in Science and Technology (COST) action TINNET, a European Tinnitus research Network (www.tinnet.tinnitusresearch.net), is currently standardizing assessment methods and defining a core set of domains and instruments (Hall et al., 2015).

In Sweden, national guidelines on the management and treatment of tinnitus are lacking, and clinics in the different counties rely on local recommendations. The only questionnaires recommended are the Tinnitus Handicap Inventory (THI) and the Hospital Anxiety and Depression Scale (HADS). However, the Swedish versions of these questionnaires lack validity. Thus, the number of patients with tinnitus in Sweden receiving appropriate care is rather small when compared to the large capacities of other European clinics (Karolinska Hospital in Stockholm Sweden, n = 70 patients per year vs. the Tinnitus Clinic at the Charité in Berlin, n = 3000 new patients per year; or in the Adelante Tinnitus Expert Center in Maastricht, Netherlands, n = 700 newly referred patients per year), even when considering the population size of the respective cities. We selected a number of additional questionnaires (for instance, the Tinnitus Sample Case History Questionnaire (TSCHQ), Tinnitus Functional Index (TFI), Fear of Tinnitus Questionnaire (FTQ), Tinnitus Catastrophizing Scale (TCS), and Perceived Stress Questionnaire (PSQ-30) according to recommendations given in a consensus meeting (Langguth et al., 2007) or because of their successful application in clinical trials on tinnitus (Cima et al., 2012). Each of the questionnaires was translated into Swedish. A set of validated questionnaires would not only enable Swedish clinics to assess the burden of tinnitus in a wider context but also other aspects such as measures of tinnitus fears, emotional burden, and quality of life.

Materials and Methods

Subjects

Patients with tinnitus were identified in the fifth wave of the Swedish Longitudinal Occupational Survey of Health (SLOSH). All patients aged between 18 and 85 years who had previously agreed to be contacted (n = 620) were invited to join STOP and participate in an online survey. Additionally, 319 participants were recruited through flyers. Two hundred and seventy one subjects registered with STOP (http://stop.ki.se) gave their written informed consent to participate in the survey. After excluding participants without tinnitus and incomplete test–retest data, a total sample size of 260 subjects was achieved. The project was approved by the local ethics committee “Regionala etikprövningsnämnden” in Stockholm (2014/1998-31/4). The database project and the server were coordinated and located at the Department of Physiology and Pharmacology of the Karolinska Institutet, Sweden.

Selection of Questionnaires

Based on a consensus meeting in 2006, Langguth et al. (2007) recommended the use of several questionnaires such as the TSCHQ (Landgrebe et al., 2010), the THI (Newman et al., 1996, 1998), the Tinnitus-Beeinträchtigungs-Fragebogen (TBF-12; Greimel et al., 1999), the Major Depression Inventory (MDI; Bech and Wermuth, 1998), and the World Health Organization-Quality of life questionnaire (WHO, 1998). These questionnaires have been used in a large number of studies, albeit preferentially in Europe (Hall et al., 2016).

The TSCHQ was designed to assess the most important tinnitus characteristics and the tinnitus history of patients (Landgrebe et al., 2010). Tinnitus-related impairment in daily life is typically assessed with the THI (Newman et al., 1996, 1998). The TFI (Meikle et al., 2012; Henry et al., 2016) has been proposed as a more recent questionnaire with very high internal consistency of 0.97 and test–retest reliability of 0.78. We favored the TFI over the TBF-12 because of its high responsiveness to treatment-related changes.

In a randomized controlled trial on cognitive behavioral therapy (CBT) that included 245 patients with tinnitus, Cima et al. (2012) reported the successful and valid use of various questionnaires developed for assessing tinnitus-related emotional affects. Tinnitus-specific emotional reactivity and cognitions were evaluated with the TCS and the FTQ (Cima et al., 2011). The TCS is used for assessing cognitive misinterpretations of tinnitus sounds and the FTQ for measuring tinnitus-related fears (Cima et al., 2011). Both questionnaires showed excellent internal consistency values (TCS: Cronbach's alpha = ·0.94; FTQ: Cronbach's alpha = 0.82). Moreover, Cima et al. (2011) evaluated negative emotional affects with the HADS that also showed good reliability (Cronbach's alpha = 0.71–0.90; Spinhoven et al., 1997). The HADS is used for evaluating both depression and anxiety and has been previously tested on the Swedish tinnitus population (Andersson et al., 2003). Therefore, we decided to replace the MDI recommended in the 2006 consensus meeting (Langguth et al., 2007) that only evaluates depression and used the HADS instead. Stress is widely evaluated with the PSQ-30 showing an internal consistency of 0.80 < α < 0.86 (Levenstein et al., 1993). The combination of HADS and PSQ-30 allows the distinct evaluation of stress, anxiety and depression.

No Hyperacusis Questionnaire (HQ) was suggested in the initial recommendation (Langguth et al., 2007). However, because about 40–55% of patients with tinnitus experience this condition (Baguley, 2003; Schecklmann et al., 2014), we also considered the HQ (Khalfa et al., 2002), which had been validated in a group of tinnitus patients showing an internal consistency of α = 0.88 (Fackrell et al., 2015). A Swedish version was developed with an internal consistency of α = 0.92, albeit tested on people with Williams Syndrome (Blomberg et al., 2006).

The Health Utilities Index (HUI)—validated for assessing quality of life of patients with tinnitus (Maes et al., 2011)—was used as a primary outcome measure to evaluate the efficacy of specialized CBT on quality of life (Cima et al., 2012). However, a quality of life questionnaire developed by the WHO has also been shown to be suitable for patients with tinnitus (Zeman et al., 2014). The World Health Organization Quality of Life Scale (WHOQoL-BREF), which is a shorter version of the long questionnaire (WHO, 1998), is already available in many different languages and appears to be more appropriate for world-wide use than the HUI.

Permission to translate the questionnaires into Swedish was obtained from all developers of source language questionnaires: B. Langguth and W. Schlee (TSCHQ), J. A. Henry (TFI), R. R. L. Cima (FTQ and TCS), S. Levenstein (PSQ-30). For the TFI translation, as the reproduction in whole or in part is prohibited without the written consent of Oregon Health & Science University (OHSU), a license was obtained from OHSU, who agreed on the above procedure and authorized the validation of the translated TFI questionnaire. For further use in the clinics in Sweden, additional agreements will be needed.

Translation

No clear guidelines exist on how to translate questionnaires (Epstein et al., 2015), in particular when cultural adaptations are required as in the case of translations from English into Swedish. Since the objective of our translations was to find a functional equivalent but not a literal formulation of the original versions, we relied on a procedure called TRAPD (translation, review, adjudication, pre-testing, and documentation) developed by Harkness (2003). This procedure includes translators as well as a team reviewing the translations and presenting the final version (Harkness, 2003). The original English versions of the questionnaires were thus translated into Swedish by three native Swedish speakers (whose mother tongue was the target language, who were fluent in English and country residents with experience in the target culture). All translators were briefed on the background of the project before the translation. First, all translators worked independently and then in a team to produce one single reconciled forward translation. This forward translation was then reviewed and discussed by a multidisciplinary committee from our clinic that included a doctor, an ENT specialist, an audiologist, a psychologist, two researchers, and a statistician to provide an additional level of quality control. All members of the reviewing committee agreed on the final version. Some of the questions and responses were slightly modified in order to produce fully comprehensible items in the Swedish language. Backward translation was conducted by a blinded native Swedish and fluent English speaker, with no knowledge of the original questionnaire. The backward-translated version was evaluated by the project leader and the translator and used as a tool to ensure that the meaning of the items was not altered (conceptual accuracy), rather than as a measure of translation accuracy. The Swedish versions of the questionnaires are available upon request.

Online Survey

Before field-testing from October 2015 to January 2016, we carried out a pilot test of these online surveys on a small group of respondents (n = 6) in order to detect any flaws in routing, layout, comprehension, length, software use (different browsers and mobile devices), and data transfer to the server. After giving written consent, patients were invited to participate in a secure online survey that included sociodemographic variables as well as the following questionnaires: the TSCHQ (Landgrebe et al., 2010), THI (Newman et al., 1996, 1998), TFI (Henry et al., 2016), FTQ (Cima et al., 2011), TCS (Cima et al., 2011), HQ (Khalfa et al., 2002), PSQ-30 (Levenstein et al., 1993), HADS (Andersson et al., 2003), and WHOQoL-BREF (1998). Table 1 presents an overview of the questionnaires: number of items as well as total and subscale scores. Scores were based on the scoring guideline of each questionnaire. Participants had to complete the questionnaires twice. The median time interval between initial and subsequent assessment was 70 days (Q1 = 66, Q3 = 71, range = 16–94 days). We performed no interventions between the test and re-test sessions.

TABLE 1

Table 1. Questionnaire overview.

Statistical Analyses

The sample and the questionnaire values underwent descriptive analysis [frequencies (n), percentages (%), means (m), standard deviations (SD), medians (med), and percentiles (Q1, first quartile/25th percentile; Q3, third quartile/75th percentile)]. Mann-Whitney U-tests were used to examine gender differences in tinnitus-related questionnaire values and Spearman's rank correlations to assess the relation between age and tinnitus-related questionnaire values.

A range of standardly-used analyses were carried out to assess the psychometric properties of tinnitus-related questionnaires. Cronbach's alpha coefficient was used to assess the internal consistency of multi-item scales based on correlations between items on the same test or subscale and to show the extent to which several items proposed to measure the same construct result in similar scores. Coefficients >0.70 are considered acceptable (Cohen, 1960; Grouven et al., 2007; see also, http://www.rehabmeasures.org/rehabweb/rhstats.aspx). Test–retest reliability is used to evaluate how stable patients respond over time. The consistency of tinnitus-related data was assessed by Cohen's kappa coefficient for categorical variables and Intraclass Correlation Coefficient (ICC) for metric variables. ICCs > 0.70 and Cohen's kappa > 0.60 are considered acceptable (Cohen, 1960; Grouven et al., 2007; see also, http://www.rehabmeasures.org/rehabweb/rhstats.aspx). Because construct validity indicates whether instruments measure the same theoretical concept, it was used to assess inter-scale correlations [Spearman's rank correlation coefficient (ρ)] within and between tinnitus-related questionnaires. Correlation coefficients ≥0.40 indicate that questionnaires or subscales measure the same aspects of tinnitus (convergent validity), whereas correlation coefficients between <0.40 indicate that questionnaires or subscales measure different aspects (discriminant validity; algebraic signs are omitted; Hays and Hayashi, 1990). Known-group comparisons were used to evaluate the clinical validity of the tinnitus-related questionnaires. The statistical significance of group differences in tinnitus occurrence, onset, and manifestation was tested with Mann-Whitney U-tests.

The significance level was set at p ≤ 0.050. The software package SPSS for Windows, Version 23, was used for all statistical analyses.

Results

Subject Characteristics

Sociodemographic Data

Two hundred and sixty Swedish subjects (52.3% men) were included in the study. The median age was 62.40 years (Q1 = 56.00, Q3 = 68.00, ranging from 21 to 87 years).

Tinnitus-Related Data

The majority of participants reported experiencing continuous tinnitus (86.9%). 64.6% of subjects perceived a gradual onset of tinnitus, and 65.8% described tinnitus of (very) high frequency. Most subjects reported constant tinnitus manifestation over time (73.8%) and that they had consulted with a clinician because of the condition (61.5%). The median time since the onset of tinnitus was 15.00 years (Q1 = 6.00, Q3 = 25.00, ranging from 0 to 55 years, missing information: n = 30). Subjects related the initial onset to the following reasons: loud blast of sound (n = 41, 15.8%), stress (n = 37, 14.2%), change in hearing (n = 30, 11.5%), head trauma (n = 2, 0.9%), whiplash (n = 5, 1.9%), and others (n = 51, 19.6%). 36.2% (n = 94) could not specify any specific reason. Tinnitus was reduced by music or environmental sounds in 53.5% of subjects and intensified by loud noise in 51.2% and by stress in 53.8%. Medication had no influence on tinnitus in 91.9% of subjects. On a scale from 0 to 100, the median loudness of tinnitus was 60.00 (Q1 = 35.00, Q3 = 75.00, n = 259), the median percentage of total awake time being aware of tinnitus was 60.00 (Q1 = 25.00, Q3 = 100.00, n = 225), and the median percentage of total awake time being annoyed or distressed of tinnitus was 20.00 (Q1 = 10.00, Q3 = 50.00, n = 226). Table 2 presents both tinnitus-related and additional clinical data (TSCHQ).

TABLE 2

Table 2. Tinnitus-related data and test–retest reliability assessed with the Tinnitus Sample Case History Questionnaire (TSCHQ).

Questionnaire Data

The median scores and quartiles of the test and re-test sessions are presented in Table 3. At the initial assessment, the THI was 24.00 (Q1 = 14.00, Q3 = 38.00), and 10.8% of subjects described their tinnitus as severe to catastrophic. The average TFI score was 24.0 (Q1 = 14.00, Q3 = 38.00), and 16.9% of subjects described to have a big or a very big problem. Stress was evaluated by means of the PSQ (median = 0.27, Q1 = 0.16, Q3 = 0.39), and 16.2% of subjects scored high stress levels. Anxiety was measured with the HADS (median = 2.0, Q1 = 1.0, Q3 = 5.0), in which 10% of subjects showed abnormally high scores. Depression, also evaluated with the HADS (median = 4.0, Q1 = 2.0, Q3 = 8.0), showed abnormally high scores in 4.6% of subjects. The median TCS-value was 11.5 (Q1 = 5.0, Q3 = 20.0), and that of the FTQ was 4.0 (Q1 = 3.0, Q3 = 6.0); however, no subscale is available for determining severity levels. The HQ showed that 17.7% of subjects had hyperacusis according to a >28 cut-off value. Quality of life was measured with the WHOQoL subscales for physical (median = 16.0, Q1 = 13.7, Q3 = 17.7), psychological (median = 16.0, Q1 = 14.0, Q3 = 17.3), social (median = 14.7, Q1 = 13.3, Q3 = 16.0), and environmental (median = 16.5, Q1 = 15.0, Q3 = 8.0) relationships. Age was significantly associated with tinnitus-related questionnaire scores, with exception of the THI “intrusive” subscale score, the HQ “emotional” subscale score, and the TCS total score (Table 4). Correlation coefficients were small to moderate in size. In general, the older the subjects, the fewer were the impairments and the better the quality of life reported. Women tended to have more impairments and less quality of life than men (Table 4). Significant differences were found for 17 out of 25 values.

TABLE 3

Table 3. Descriptive analyses of tinnitus-related questionnaires.

TABLE 4

Table 4. Internal consistency and test–retest reliability of tinnitus-related questionnaires and relations with age and sex.

Psychometric Properties

Internal Consistency

Cronbach's alpha for multi-item scales ranged from 0.69 to 0.97 (see Table 4). Thus, internal consistency was acceptable, except for the WHOQoL-BREF subscale “social relationships” that fell short of reaching the conventional cut-off value of α ≤ 0.70.

Test–Retest Reliability

ICC ranged between 0.68 and 0.90 (Table 4) and Cohen's kappa from 0.34 to 0.93 (Table 2). Test–retest reliability was acceptable, except for the subscale “sense of control” of the TFI and for 15 items of the TSCHQ. Critical items of the TSCHQ were: 3b (the time of day tinnitus starts), 5 (initial onset), 7 (etiology), 10 (intermittent or constant), 11 (varying loudness), 14 (sound of tinnitus), 15 (pitch of tinnitus), 18 (different treatments), 19 (reduction by ambient sounds), 20 (tinnitus worse by noise), 22 (nap effects), 23 (tinnitus affected by night sleep), 28 (problems tolerating sounds), 29 (pain induced by noise), and 31 (vertigo or dizziness).

Construct Validity

Spearmen's rank correlations showed that almost all tinnitus-related questionnaires were significantly related (mainly p < 0.001), with the exception of the correlation between the “auditory” subscale of the TFI and the “social relationships” subscale of WHOQoL-BREF (ρ = −0.12, p = 0.053). 55% (n = 165) of 300 correlations yielded coefficients of ≥0.40, and 10.3% (n = 31) substantial coefficients of ≥0.70. These findings indicated that the questionnaires measured different aspects of the same construct. In general, higher correlation coefficients were observed between total and subscale scores of the THI, TFI, HQ, and HADS. WHOQoL-BREF showed correlation coefficients of ≥0.40 mainly within its subscales but not with other tinnitus-related questionnaires. Table 5 summarizes the correlation coefficients.

TABLE 5

Table 5. Convergent validity: spearmen's rank correlations between tinnitus-related questionnaires.

Clinical Validity

Subjects with a more severe clinical condition (permanent tinnitus, abrupt onset, and constant manifestation of tinnitus) tended to report more tinnitus-related impairments than subjects with a less severe clinical condition (occasional tinnitus, gradual onset, and intermittent manifestation of tinnitus). Table 6 summarizes the results of the Mann-Whitney U-tests.

TABLE 6

Table 6. Clinical validity of tinnitus-related questionnaires.

Discussion

Overall, the Swedish versions of the tinnitus-specific questionnaires showed good internal consistency, test–retest reliability, construct, as well as clinical validity. Internal consistency was excellent (α > 0.90) for the THI, TFI, TCS, HQ, and PSQ-30, good for the HADS (0.80 ≤ α ≤ 0.90), and acceptable for the FTQ (0.70 ≤ α ≤ 0.80). However, the subscale “social relationships” of the WHOQoL-BREF showed low internal consistency that fell short of reaching the conventional cut-off value of α ≤ 0.70.

Test–retest reliability was acceptable, except for the subscale sense of control of the TFI (ICC = 0.68) and for 15 items of the TSCHQ that includes descriptive data about tinnitus. The comparison of TSCHQ scores with previously published descriptive analyses by the Tinnitus Research Initiative (Schecklmann et al., 2014) showed very similar prevalence for specific items. For instance, gradual perception of tinnitus at its onset was reported by 64.6% of subjects in STOP vs. 50% in the TRI. Similarly, high-frequency perceptions were reported by 65.8% of subjects in STOP vs. 72% in the TRI. 73.8% of subjects in the STOP reported constant tinnitus in comparison to 84% in the TRI. Cohen's kappa coefficients of several TSCHQ items (e.g., first tinnitus experience, manifestation of tinnitus over time, or suffering from headaches) were below the cut-off value of k > 0.60. However, this result does not mean that the questionnaire is not reliable per-se. The low kappa values may reflect (a) variables that differ in time or are fluctuating, (b) variables that are not accurately remembered, (c) that subjects did not understand the item, and (d) how reliably or conscientiously subjects respond to questionnaires. Nonetheless, this finding suggests that caution should be taken in the interpretation of some items of the TSCHQ. The test–retest reliability of the TSCHQ should also be investigated in a different sample in order to find out whether the phrasing of specific questions should be modified—this could also apply to the original English version of the TSCHQ.

Backward translation is often conducted to ensure the reliability of the forward translation, however, we found no guideline on how to score the reliability of a backward translation. We considered one-word change in the translated version, as a meaningful difference when comparing to the original version. Using this criterion, we found that in the case of English-Swedish translations, near 60% of backward-translated items from the TSCHQ and the TFI differed from the original version. With shorter sentences, as those found in the PSQ-30, this number went down to 40%. Importantly, of all backward-translated items in which a change from the original version was observed, only 6% of them had potentially altered meaning. Verification of the Swedish items helped confirming that they were culturally adapted and thus appropriate for testing. The low score for the subscale sense of control of the TFI (ICC = 0.68) could potentially derive from translation failures. The verb “to cope” in English has the equivalent “att hantera” in Swedish, but which has additional meanings such as “to handle” or “to manage.” Such differences, when evaluating the “sense of control” could alter the test–retest reliability. Potentially, this variability in the test–retest sessions might not necessarily occur in a more severe group of individuals such as those recruited in clinics, which is not the case with the STOP cohort (population based).

Indeed, it is possible that the low values obtained for some of the items of the TSCHQ are due to the fact that the population tested within the STOP includes participants from the general population and not clinical (outpatient) individuals. When comparing the scores of STOP participants with the scores obtained in other studies, we observed that the scores of the different questionnaires were lower than normal. Because most studies failed to report median values, we compared the mean values. Our average THI score was 28.34 in comparison to the range of 40–55 found in the literature (Kaldo et al., 2007; Westin et al., 2011; Albu and Chirtes, 2014; Jasper et al., 2014). The TFI average was 31.74 vs. 40.6 (Fackrell et al., 2016), so that the overall score was lower than that typically found in the literature. Similarly, the anxiety level of 5.12 measured with the HADS was lower than that reported in other studies (6.2–8.7; Kaldo et al., 2007; Westin et al., 2011; Albu and Chirtes, 2014; Jasper et al., 2014). The average of 3.44 for depression in the STOP cohort was also lower than the range of 4.05–6.5 described in the literature (Kaldo et al., 2007; Westin et al., 2011; Albu and Chirtes, 2014; Jasper et al., 2014). The average values of 13.86 of tinnitus-specific cognitions measured with the TCS were almost two times less than the baseline score of 21.11 in the study by Cima et al. (2012). Fear-reactivity as measured by the FTQ was 4.57 in the STOP cohort vs. 7.25 (Cima et al., 2012) at baseline. This finding may be due to the fact that all patients in the Cima trial had severely irritating tinnitus at baseline with an average THI score of 38.96 (SD 22.88; Cima et al., 2012) in contrast to our study sample who had significantly less severe tinnitus with an average score of 28.34. The STOP values were more comparable with the values for the 12 month follow-up trial by Cima et al. (2012) that were 11.73 for the TCS and 4.20 for the FTQ. Our study participants only seemed to be mildly affected by tinnitus compared to the RCT population. The average scores for quality of life were very similar to those reported in the literature (Abbott et al., 2009; Kreuzer et al., 2014; Schecklmann et al., 2014). Most published studies involved patients with tinnitus recruited in clinical centers or from medical registries, whereas the subjects recruited in the initial phase of the STOP were representative of the general population that may include individuals diagnosed and not diagnosed with tinnitus. As a consequence, this difference may potentially result in lower severity scores for all questionnaires. These findings emphasize the need of testing these questionnaires in a group of outpatients from clinics in Sweden.

Interestingly, the hyperacusis scores of the HQ were very similar to those found in the literature (Fackrell et al., 2015). However, using the criterion of >28 of Khalfa et al. (2002), we would obtain a proportion of 17.7% of subjects with hyperacusis, but this percentage is well below the reported 40–55% typically found in the tinnitus population (Baguley, 2003; Schecklmann et al., 2014). Indeed, reevaluation of the cut-off threshold has recently been recommended (Fackrell et al., 2015).

The potential to distribute questionnaires online has large benefits over paper versions, both in research and in clinical settings, because large data sets can be created with minimal administrative efforts. Moreover, the use of online questionnaires may precede anamnesis and audiological assessment to allow a more focused discussion at the clinic. Distributing the HADS and HQ questionnaires over the internet has proved successful and validated against pen and paper (Andersson et al., 2002, 2003; Thorén et al., 2012). The internal consistency and reliability of the online questionnaires tested here suggests that they could be used in paper versions in clinics that do not yet have the IT infrastructure to implement web-based versions.

Conclusions

This study shows the likely suitability of the Swedish versions of the THI, the TFI, the TCS, the FTQ, the HQ, the PSQ-30, the HADS, and the WHOQoL-BREF for measuring outcome in a clinical and research setting. The reliability and validity of these questionnaires translated into Swedish are comparable with that of the original English language versions. Some items of the TSCHQ may have to be removed or rewritten to further improve the reliability of this questionnaire. Additional research may be required to evaluate the sensitivity of each questionnaire in longitudinal studies and their usefulness for measuring treatment outcomes.

Author Contributions

BL, WS, BC, RC, and CC designed the study. EI, RH, VP, CL, NE, and CC provided a consensus agreement on the final translated questionnaires. NE and CC developed the web-survey, coordinated the recruitment of subjects, and collected the data. KM and CC analyzed the data. CC, WS, and KM drafted the initial version of the manuscript. All authors contributed to the final version of the manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank the four persons who performed the forward and backward translations of all questionnaires. We also thank Monika Schöll for proof-reading services on the final manuscript. CC and BC have received funding from Vetenskapsrådet, Tysta Skolan, and Karolinska Institutet. CC has received funding from Lars Hiertas Minne, Magnus Bergvalls Stiftelserna, and Loo och Hans Ostermans. The work was supported by an independent research program funded under the Biomedicine and Molecular Biosciences European Cooperation in Science and Technology (COST) Action framework (TINNET BM1306).

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