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Review Article
34 (
); 216-222

Prevalence of hearing loss in India

Department of Otorhinolaryngology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
Department of Otorhinolaryngology and Head-Neck Surgery, Government Medical College and Hospital, Chandigarh, India
Department of Non-communicable Diseases, Indian Council of Medical Research, New Delhi, India
Correspondence to ALOK THAKAR;
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

To cite: Verma RR, Konkimalla A, Thakar A, Sikka K, Singh AC, Khanna T. Prevalence of hearing loss in India. Natl Med J India 2021;34:216–22.



Despite abundant literature, a clear and coherent understanding of hearing loss (HL) in India is limited by the wide disparity in studies.


We did a review of published peer-reviewed journal articles. Studies reporting the prevalence and degree of HL in India from 1980 to 2020 were included. Information was gathered on the population characteristics, methodology applied and the prevalence of hearing impairment. The data were analysed to identify trends and at-risk sections of population in various categories.


Four hundred and forty studies were identified after a database search; 29 full-length articles were selected for final analysis. Using a 3-step screening protocol, hearing impairment (abnormal auditory brainstem response/auditory steady state response) in neonates ranged between 1.59 and 8.8 per 1000 births. Among ‘at risk’ neonates, it ranged from 7 to 49.18 per 1000 births. In children the prevalence of HL was 6.6% to 16.47%. Otitis media was the most common cause of HL in children. Community-based studies (all ages) reported prevalence of HL between 6% and 26.9% and prevalence of disabling HL between 4.5% and 18.3%. Rural areas and elderly showed a higher prevalence of hearing impairment.


Despite India’s improving health indices, hearing disability remains persistently high. It is a major contributor to the loss of personal potential and a financial strain for the individual and the country. A large-scale multicentric study to identify the degree and type of HL, social awareness campaigns, widespread neonatal screening, strengthening treatment facilities and well-funded rehabilitation programmes can counter the rising prevalence of hearing impairment.


Helen Keller famously said, ‘Blindness cuts us off from things, deafness cut us off from people’. Hearing loss (HL) limits one from interacting with one’s peers, and so impacts the ability to participate in social and workplace interactions. It limits learning and professional activities. In children, it interferes with learning. In older people, deafness is linked to cognitive decline, increasing the risk of depression and dementia.


Global perspective

The WHO estimates that unaddressed HL costs countries an estimated $750–790 billion annually in direct health costs and loss of productivity.1 The Global Burden of Disease study estimated that the prevalence of HL rose from 1.2 billion (17.2%) in 2008 to 1.4 billion (18.7%) in 2017.2 The WHO ranked HL as the third most common cause of years lost due to disability, contributing over 39.5 million years of healthy life lost, an increase from 27 million in 2000.3

Disabling HL (DHL) refers to bilateral moderate HL or worse. The audiological criteria are HL in the better ear of >40 dB for adults and >30 dB for children.4 In 2018, the WHO estimated that the global burden of DHL was 466 million (6.12% of the world’s population). One-third of the population above 65 years of age was suffering from DHL. The number of DHL patients is predicted to be 630 million by 2030 and 900 million by 2050.5

Indian perspective

In 1997, the WHO reported a 6.3% prevalence of DHL in India.6 It increased from 76.5 million in 2008 to 100 million in 2018. By 2018, the South Asia region (Afghanistan, Bangladesh, Bhutan, India, Nepal and Pakistan) contributed 28.2% to the global burden of DHL, an increase from 27% in 2012; 7.37% of the population, including 2.4% of all children in this region suffer from DHL compared to 4.57% and 0.5%, respectively, in high-income countries.

The 2002 National Sample Survey (NSS) found HL to be the second most common cause of disability and top cause of sensory deficit; 291 per 100 000 persons surveyed had HL, which included mainly profound (32%) and severe HL (39%).7 The 2011 Indian Census noted that 2.21% of the Indian population was afflicted with some disability. The three most common were locomotor (20%), vision (19%) and hearing (19%).8 The 75th National Sample Survey (NSS) (2017–2018) report, defined hearing disability as a difficulty in hearing dayto-day conversational speech but excluded unilateral hearing impairment. Hearing disability was estimated in 0.3% of the population. About 49.8% of them reported hearing only loud sounds or inability to hear at all.9

Collection of hearing disability data by a self-reporting strategy, while simple and efficient, is limited by its poor sensitivity in the identification of mild and moderate HL. The Census and NSS data are important in highlighting that hearing disability is among the most common disabilities experienced by the Indian population.

The National Programme for Prevention and Control of Deafness (NPPCD) was launched as a national programme in 2008. Its goal is to eliminate preventable deafness, reduce the burden of deafness to <1% and empower the hearing-impaired to lead an economically and socially productive life, by 2030.10 To achieve this, we need to understand the frequency, type and distribution of HL in the Indian population.

DHL prevalence has shown a rapidly increasing trend due to three reasons: (i) an ageing population; (ii) better identification; and (iii) excessive exposure to noise. Rosen noted that the tribal population in Sudan with no noise-making traditions of drum beating, no exposure to the mechanical noises of the modern age, and a largely vegetarian and fish-based diet experienced little HL till an advanced age.11 It is estimated that 1.1 billion young people in the world are placing their hearing at risk by unsafe listening practices while the awareness of harmful effects of noise are either not known or ignored.

The trends indicate the gravity of the problem at hand and projections for the future. It is imperative that the magnitude of HL be estimated, and targeted plans be created, catering to the needs of the hearing-impaired population. Despite multiple studies, an accurate prediction has been difficult due to differences in subject populations, case definitions, and the variability of geographical areas and periods of study.


A systematic review of databases (PubMed and Web of Science) was done according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.12 To identify studies for inclusion, search strategies were created for the databases. They were searched for publication dates between 1980 and 2020, and additional searches on Google Scholar were done using a combination of subject headings and keywords: Hearing loss, Hearing impairment, Deafness, Ear disease, Otitis media, Screening, Disability and India.

Titles and abstracts of the search results were screened. Duplicate records and studies that did not measure the prevalence of HL were excluded. Studies conducted among subjects in controlled cohorts such as occupational noise exposure and congenital disorders were excluded. Full-text manuscripts of the remaining articles dealing with quantitative analysis, irrespective of the method of measurement, of hearing impairment in India at a population group, city, district, state or multi-city level, from 1980 to 2020 were retrieved. Data extraction was done by two authors (AK and RRV). Data extracted included author, year of publication, study design, study characteristics, cohort demographics, method of assessment and frequency of hearing loss. Consensus was obtained on all the points. The articles were also checked independently for consistency by two authors (AK and RRV). Any disagreements were resolved by discussion with a third author (AT).

Studies that did not define the study population characteristics or the methodology applied, or revealed any inconsistencies in the results, were excluded from the analysis.

Data analysis

The studies were broadly categorized into neonatal, childhood and community, based on the study population. We extracted information on the study year, population, methodology and the prevalence of hearing impairment. Categorized into the study populations, the data were analysed to provide a summary of the results. We endeavoured to identify a trend in the HL and DHL prevalence based on the year of the study, and by comparing age groups and rural versus urban populations. The heterogeneity in the studies with regard to testing methodology and varying case definitions was a major challenge in the overall interpretation and comparison of these studies.


Of 440 articles identified on the database search, 92 were removed for duplication and 348 were screened. After exclusions, 29 peer-reviewed articles were included (Fig. 1).

FIG 1.: Preferred reporting items for systematic reviews and meta-analyses (PRISMA) diagram for study screening, selection, exclusion and inclusion

HL prevalence studies in India

Estimates of hearing disability from India, which have used an objective strategy to enumerate hearing disability are summarized. We categorized the studies into newborn screening population studies (Table I), paediatric population studies (Table II), and community-based studies (Table III).

TABLE I.: Neonatal screening studies on hearing loss (HL)
Author (year) Method of assessment of HL Screening test → Confirmatory test Total number HL prevalence per 1000 HL prevalence (well babies) per 1000 HL prevalence (at-risk babies) per 1000
Nagapoornima et al. (2007)13 2 × OAE → ABR 1769 5.65 4.7 10.75
John et al. (2009)14 2 × OAE → ABR 500 6 2.2 43.5
Rai and Thakur (2013)15 2 × OAE → ABR 500 8 2.27 49.18
Augustine et al. (2014)16 2 × AABR → ASSR 9448 4.1
Vignesh et al. (2015)17 OAE → AABR 1405 22.1 11.1 47.4
Gupta et al. (2015)18 2 × AABR → conventional ABR 2265 2.2
Paul (2016)19 2 × OAE → ABR 101 688 1.59 0.6 7
Sachdeva and Sao (2017)20 OAE + BOA → OAE → ABR 2254 8.8
Dar et al. (2017)21 2 × OAE → ABR 1720 5.3
Parab et al. (2018)22 2 × OAE → ABR 8192 3.54 1.69 10.69

OAE otoacoustic emission ABR auditory brainstem response ASSR auditory steady-state response AABR automated ABR BOA behavioural observation audiometry

TABLE II.: Studies assessing hearing loss (HL) in children
Author (year) Study area n Age (years) HL (%) HL assessment Most common cause of HL CHL (%)
Verma et al. (1995)23 Rural 613 5–15 11.97 T F T CSOM (69%)
Kalpana and Chamyal (1997)24 Urban+ 1200 4–17 1 1 PTA; HL not defined CSOM (43.18%) 96.22
Jacob et al. (1997)25 Rural 284 6–10 11.9 PTA; HL ≥40 dB loss CSOM (50%) 91.18
Mann et al. (1998)26 Rural+ 1670 12–14 16.47 PTA; HL ≥25 dB loss OME
urban (urban: 6.3)
(rural: 32.8)
Das et al. (1999)27 Tribal 6674 <12 6.62 PTA; HL not defined CSOM (51.83%) 98.64
Rao et al. (2002)28 Rural 855 ≥5 11.9 PTA; HL ≥25 dB loss Wax (86.3%) 81.6
Arora et al. (2018)29 Rural+ 3964 2 – 9 3.03 OAE; HL ≥35 dB loss
Rathnaraajan et al. (2019)30 Rural+ 1470 6–14 35.1 T F T
Chakrabarti and Ghosh (2019)31 Rural+ 10 763 6–14 0.058 PTA; HL: severe ≥70 dB, NA
urban (special (severe to profound ≥90 dB
needs) profound)

CHL conductive hearing loss TFT tuning fork tests PTA pure-tone audiometry OAE otoacoustic emission NA not available CSOM chronic suppurative otitis media OME otitis media with effusion

TABLE III.: Community-based population surveys (all age groups)
Author (year) Sample size Methodology Findings
Singh et al. (1980)32 904 people PTA HL prevalence: ≥26 dB 7.3%; ≥41 dB 5.6%; ≥61 dB 3.5%
ICMR (1983)33 1200 households Household survey; TFT and PTA Prevalence: 10.7% rural; 6.8% urban; 82% bilateral; 24.4% severe; 47.9% conductive and 40.2% SNHL
Mishra et al. (2011)34 14 650 people EARFORM software of WHO HL rural 15.1%; urban 5.9%; DHL in <10 years of age 1.2% urban; 5.4% rural
Deepthi and Kasthuri (2012)35 175 elderly people Self-reporting, shortened hearing handicap inventory for elderly, PTA Sensitivity and specificity of self-reporting: For mild HL 30.9% and 93.9%; for severe HL 76.2% and 83.1%
Guleria et al. (2017)36 306 people Structured questionnaire, PTA HL 13.1%; 57.5% were >60 years; 70% SNHL; presbycusis 57.5%; infectious 27.5%
Guleria et al. (2017)37 306 people Structured questionnaire, clinical evaluation, and audiological tests HL 16.7%; 52.9% were ≥60 years; 68.6% SNHL; presbycusis 52.9%; infectious 33.3%
Bright et al. (2019)38 3573 people 2-stage: 1st OAE →PTA (>4 years) or 2nd OAE (≤4 years) HL 8.9%; DHL 4.5% (0.4% in 4-17 years v. 34.7% in >65 years)
Garg et al. (2018)39 664 people WHO questionnaire, ear examination, TFT →OAE in <5 years and PTA in ≥5 years HL 26.9%; 37.5% in 40-59 years and 39.3% in >60 years
Garg et al. (2018)40 664 people Ear examination → OAE in <5 years and PTA in ≥5 years HL 25.1% (32.5% rural, 26.1% urban); severe HL 51.2%
Khan et al. (2018)41 422 people TFT HL 23.1% (24.8% rural, 20.5% urban); >70 years of age 66.6%

PTA pure tone audiometry TFT tuning fork tests WHO World Health Organization OAE otoacoustic emission HL hearing loss SNHL sensorineural hearing loss DHL disabling hearing loss ICMR Indian Council of Medical Research

Neonatal screening

Ten studies were included. Hearing impairment in neonates ranged from 1.59 to 8.8 per 1000 screened in studies where auditory brainstem response audiometry (ABR) was done after failing otoacoustic emission (OAE) twice.1315,1922 Automated ABR (AABR) double screening, followed by a conventional ABR or auditory steady state response (ASSR) audiometry showed a similar frequency of 2.2–4.1 per 1000.16,18 A single OAE followed by ABR showed a much higher failure rate of 22.1/ 1000, falling to 1.42/1000 bilateral HL after a complete audiological assessment.17 A two-step screening test followed by a confirmatory test provided consistent results.

Hearing impairment in neonates with risk factors ranged from 7 to 49.18 per 1000.1315,19,22 Neonatal intensive care unit admissions, mechanical ventilation, low birth weight, prematurity, hyperbilirubinaemia, congenital anomalies or syndromes and family history of HL were the most common factors used to identify at-risk infants. Dar et al.21 noted that cytomegalovirus causes a 20-fold increase in early onset or congenital HL. In those without risk factors, the HL ranged from 0.6 to 4.7 per 1000 neonates.1315,19,22 Studies with the smallest sample size reported the highest prevalence of HL.14,15

Dropouts between testing leads to underestimation of the problem and variability of the results. These were recorded as high as 17.4% between the first two screening tests and up to 72% between the screening and the confirmatory test.16 At-risk neonates had a higher dropout rate between the two screening tests but a lower one for confirmatory testing19,22 (Table IV).

TABLE IV.: Loss to follow-up at different stages among ‘well’ and ‘at-risk’ babies
Author (year) Total (%) Well babies (%) ‘At-risk’ babies (%)
Dropout rates between first and second screening
Paul (2016)19 3.9 3.3 5
Parab et al. (2018)22 2.4 1.5 7.6
Augustine et al. (2014)16 17.4
Gupta (et al. 2015)18 14.65
Dar et al. (2017)21 7.5
Between second screening and confirmatory test
Paul (2016)19 6.4 10.2 3.4
Parab et al. (2018)22 15.1 25.2 Nil
Augustine et al. (2013)16 72
Gupta et al. (2015)18 39.65

Hearing loss in children

Nine articles were selected for assessment in this category. The criteria for inclusion and exclusion of subjects, and the methods used for measuring HL were not consistent in the included studies. Some were school-based2426,28,30,31 while others were done in the community.23,27,29 The number of children included, age groups and population characteristics varied with every study. The criteria for assessment ranged from tuning fork tests (TFT) to pure-tone audiometry with or without impedance audiometry (IA) to OAE. The threshold to identify HL ranged from 25 to 70 dB.

Studies using TFT to define HL, reported 11.97%23 and 35.1%30 prevalence. On audiometric evaluation, children in rural areas showed a HL of 11.9% in studies by Jacob et al.25 (HL threshold=40 dB) and Rao et al.28 (HL threshold=25 dB). It was 11% in urban areas by Kalpana and Chamyal24 and 6.62% in tribal populations by Das et al.27 A comparison of rural versus urban areas found a significantly higher loss in rural children (32.8% v. 6.3%).26 Chakrabarti and Ghosh tested 10 763 children with special needs and reported 0.58 per 1000 prevalence of severe to profound (>70 dB) sensorineural HL (SNHL).31 Conductive HL (CHL) was responsible for a vast majority of HL in children.2428 Chronic suppurative otitis media (CSOM)4,2327 and secretory otitis media/otitis media with effusion (OME)26,30 were the most common pathologies. Not all CSOM cases resulted in HL23,25 and the most common middle ear pathology was not always the most common cause of HL.25

Community-based studies

Ten studies were included in this analysis. The prevalence of HL ranged from 6% to 26.9% and DHL ranged from 4.5% to 18.32%.3234,3641 The largest of these studies was conducted by the Indian Council of Medical Research (ICMR) in 1983,33 which reported a prevalence of 10.2%. Studies with a smaller sample size reported a higher prevalence.

The rural population had higher HL numbers across all studies.33,34,36,37,3941 The difference in rural and urban areas when evaluating DHL was smaller but substantial nonetheless36,37,39,40 (Table V). Predictably, older populations had higher prevalence of hearing impairment compared to the young. A slower rise in HL till the age of 45–50 years was noticed, beyond which there was a sharp increase in prevalence. Beyond 60–65 years of age, HL was present in more than half and DHL in more than a quarter of the population3541 (Table VI); 39.3%–57.5% of all HL sufferers were more than 60 years old. The risk of HL in a noisy work environment (>85 dB) was also significantly higher.34

TABLE V.: Hearing loss (HL) and disabling hearing loss (DHL) in rural and urban areas
Author (year) Subjects HL (%) DHL (%)
Total Rural Urban Total Rural Urban
Singh et al. (1980)32 904 7.3 - - - - -
ICMR (1983)33 22 600 10.2 10.7 6.8 - - -
Mishra et al. (2011)34 14 650 6 15.1 5.9 - - -
Guleria et al. (2017)36-37 612 14.9 16.7 13.1 5.9 7.2 5.9
Garg et al. (2018)39-40 595 26.9 32.5 26.1 18.3 22.1 18.3
Khan et al. (2018)41 377 23.1 24.8 20.5 - - -
Bright et al. (2019)38 3573 8.9 - - 4.5 - -

ICMR Indian Council of Medical Research

TABLE VI.: Age group comparison of hearing loss (HL) and disabling hearing loss (DHL)
Author (year) HL (%) DHL (%)
<60 years >60 years <60 years >60 years
Deepthi et al. (2012)35 - 72 - 25.1
Guleria et al. (2017)36,37 7.69 63.3 - -
Garg et al. (2018)39,40 19.4 67 12.4 50
Khan et al. (2018)41 19.9 54.3 - -
<65 years >65 years <65 years >65 years
Bright et al. (2019)38 6.3 52.5 2.7 34.7


Prevalence and aetiology of hearing loss

Variability in study populations, selection criteria and testing methodology, all contribute to the differences across various studies. Neonatal screening studies using a 3-step evaluation (two sequential screening tests and one confirmatory ABR if twice screen failed) reported prevalence rates between 1.59 and 8.8 per 1000 population. Risk factors as described before, appear to increase the risk of HL in neonates substantially. Studies with smaller sample size have reported a significantly higher prevalence. Restricting the hearing testing to simply a 2-step screening with OAE and AABR with no further ABR for confirmation led to a much higher prevalence,17 but this may be reflective of the lesser specificity and known poor positive predictive value of these tests.

Among children, the reported prevalence of HL was between 6.62% and 16.47%. CHL was responsible for most (81.6%– 98.6%) of the hearing impairment. CSOM and OME, have remained the main reasons over the past few decades, although the contribution of CSOM towards impairment of hearing has seen a decline in the twentieth century. It was interesting to note that CSOM was also prevalent in those not considered as hearing impaired. These children are also at high risk of developing HL in the future. Chadha et al. examined 3000 children and identified a significant difference in the prevalence of CSOM in slums (7.2%), rural areas (3%) and non-slum urban areas (2.6%).42 A meta-analysis from Africa showed that CSOM was the leading cause of preventable childhood HL.43 Studies from South Africa, Nigeria and Malawi4446 found HL in the range of 13.9% to 24% and CHL was responsible for 65% to 82% of the total HL. CHL among elementary school children in Australia was 6.3% accounting for 55% of all HL.47 Among Canadian children, HL was 4.7% and CHL was <3.5%.48 The smaller contribution of CHL, particularly of CSOM, is responsible for the lower prevalence of HL in developed countries.

Community-based studies assessing all age groups yielded a HL prevalence rate between 6% and 26.9%. The two largest community studies33,34 indicate a significantly greater burden in the rural population and in the elderly. SNHL was more prevalent, even as high as 70%, in studies with a higher proportion of elderly subjects.37,38 Smaller studies reported a considerably higher prevalence of HL. Those with hearing difficulty are more inclined to get tested and older individuals are more likely to be available for testing during the day. This bias is amplified in smaller studies. Most of the studies did not adjust for confounding factors well, except for Bright et al.38 (adjusting for age and sex) and Garg et al.39,40 (adjusting for rural v. urban population). Two of the largest studies reported HL of 6% and 8.9%.35,39 Forty-two studies from 29 countries were analysed and the age-standardized hearing impairment (≥35 dB) for adults and children was 4.9% and 0.4% in high-income countries, compared to 17% and 2.2% in the South Asian region.49

The DHL prevalence in Indian studies ranged from 4.5% to 18.3%. Among those aged more than 60 years, the prevalence was 25% to 50%. This compares similarly with DHL prevalence among Ugandan adults (11.7%)50 and in the elderly in Brazil (69.6%).51 In comparison, DHL prevalence in the developed countries was much lower. DHL in the elderly in Netherlands, was 21% in men and 18% in women.52 A review of studies from Europe estimated that 30% of men and 20% of women in Europe had a HL of 30 dB or more.53

The lack of conformity in the selection of study population and the assessment tools used, makes a collective analysis difficult, but this analysis does provide an estimate of the problem at hand and provides some insights on the way forward.

Challenges and the road ahead

Till the turn of the 21st century, developing nations were often labelled as younger populations. However, by 2050, the proportion of older persons in these countries will rise to 19% and India too will have a similar demography. Though infections and middle ear disease have predominated as the cause of HL in earlier studies,32,33 the WHO South-East Asia Region Office estimates that HL due to ageing is currently the most prevalent among non-infectious causes and that is a major cause of concern.6 Recent studies (Table III) indicate that the emerging problem of HL is shifting towards the elderly and the rates of HL in this population are inordinately high (39.3% at >60 years,39 66.6% at >70 years41).

The WHO estimates that 50% of the HL in Southeast Asia is preventable and a further 30% is treatable or can be managed by aids and devices. Primary prevention by improved community sanitation, improved general health parameters, near universal coverage of vaccination (mumps, measles, rubella)54 require an overall augmentation of economic development and health-wellness facilities. Secondary prevention (early diagnosis and treatment) and tertiary prevention (disability limitation and rehabilitation)54 are however dependent on appropriate specialist services and need augmentation. The NPPCD has been in place for a few decades. We would suggest the following thrust areas which are immediately actionable and feasible, and can bring about immediate and sustained improvement:

Significant augmentation of human resource

This is the key to deliver appropriate curative and surgical services (secondary prevention) and appropriate rehabilitation services (tertiary prevention). The existing numbers are dismal. There is 1 audiologist per 500 000 people in India while the number of otorhinolaryngologists is 1 per 140 0006,55 (WHO recommendation is 1 per 25 00054). With over 120 languages spoken across the country and a large proportion of speech and audiology services being provided at private centres, there is a large shortage of personnel and infrastructure for audiology and speech rehabilitation services. Moreover, these services are not equally distributed, and rural areas are grossly underserved. Rehabilitation can be expensive and does not always provide restoration of full hearing but have nevertheless had major technological advances over the years with effective solutions currently being provided by digital hearing aids and cochlear implants

Universal newborn hearing screening

The prerequisites for screening (congenital HL being an important health problem, acceptable test is available, and effective treatment is available and accessible) are in place for effective rehabilitation and societal integration of the ‘deaf-dumb child’. Cochlear implantation for severe HL, and hearing aid amplification for moderate HL are noted as highly effective interventions. Early rehabilitation with these modalities is noted to lead to better hearing and speech, development of communication skills and integration into normal schools. Many state governments and the Central Government provide funding for cochlear implantation via the Assistance to Disabled Persons and Chief Ministers Comprehensive Health Insurance Schemes. However, the best results are seen when such rehabilitation is started early in life, and it is imperative that the availability of cochlear implantation to children with severe HL is supported by early detection to maximize its impact. Early treatment benefits language acquisition and speech considerably.

Universal newborn screening assumes immense importance in this regard. Multiple studies have proven the importance and feasibility of the neonatal screening programme, particularly in neonates who were exposed to risk factors. Universal screening has the potential to benefit 5–10 neonates for every 1000 births. Adherence to the 1-3-6 guideline for Screening-Diagnosis-Treatment has been recommended. The hearing of all infants should be screened by 1 month of age. Those who do not pass screening, should undergo a comprehensive audiological assessment at no later than 3 months of age and receive appropriate intervention by 6 months of age.56

It is also imperative that screening is not restricted to detection of the severe and profound HL alone. Children with even mild/moderate HL also need early detection and treatment as though they may develop seemingly near normal speech, they have smaller vocabularies, difficulty listening over distance or in noisy environments, and limitation of social skills, leading to limitations in their learning and educational accomplishments.48

School hearing screening

Integration of hearing screening and an effective referral programme for all identified for surgical treatment is equally important. CSOM was noted as the cause in >50% of children with HL, more so in rural and tribal areas.23,25,27 The moderate HL associated with CSOM is a silent disability. It disrupts academic development and leads to poorer scholastic achievements. This would suggest an urgent need to strengthen services towards ear care. Regular school-based health check-ups and training of teachers, social workers and school nurses to identify hearing disability can help in early detection of ear pathologies. Rehabilitation of hearing can be effectively achieved by surgery and/or a multitude of devices. To achieve these goals, a strong and efficient infrastructure, along with adequate number of health professionals dedicated to this task are required

Identification of risk factors for high prevalence of presbycusis in our population

HL in the elderly is associated with poorer global cognitive and executive functioning, verbal fluency, attention, memory and manual dexterity making it an important cause of disability.57 We note a much higher risk of DHL in the Indian elderly (Table III) compared to those in the developed world, although studies with smaller sample size tend to overestimate the prevalence and recent studies of high prevalence are relatively small. None of the studies have provided clues to identify other risk factors that may help to formulate a comprehensive prevention strategy.

There is a need to verify these figures with a larger study and more importantly identify the risk factors leading to the higher prevalence in India. Prevention is the key and needs to be undertaken immediately, as presbycusis though a slowly progressive disorder of ageing has its roots in cumulative degeneration and impairment which progresses from early adulthood. The damaging effects of noise on the cochlea are already established and education and awareness on the same needs to be communicated to the community.


The disability due to hearing impairment is a major contributor to the loss of personal potential and a financial strain for the individual and the country. Low-income countries such as India are particularly susceptible due to patchy availability of screening programmes for the newborns, high prevalence of chronic ear infections in the young and the lack of resources for the elderly. It should be noted that urban slums and rural areas, which have the least access to tertiary healthcare, have the highest prevalence of hearing impairment.

Up to half of those >60 years of age suffer from DHL. Ignorance regarding the problems, lack of access to facilities and financial constraints lead to delayed or no treatment, preventing the individual from becoming a contributing member of society. The Indian population, in the next few decades will age and have a population pyramid akin to those of more developed nations. An ageing population will place a much greater burden on the healthcare facilities in India.

The variations in socioeconomic status, lifestyles, living standards and education across India, also make it difficult to understand the extent of the problem and find a common solution. While a national programme has been developed, its application on the ground leaves much to be desired. Organized large-scale data collection, scientific interpretation of the data and district, state or local level action plans based on regional factors are required. Robust programmes addressing the populations at risk and a streamlined implementation with accountability from all involved parties can help avoid a crisis.

Conflicts of interest

None declared


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