Impact of Indian public health standards for rural health care facilities on national programme for control of deafness in India: The results of a cohort study

Davey, Sanjeev; Maheshwari, Chaitanya; Raghav, Santosh Kumar; Singh, Navpreet; Muzammil, Khursheed; Pandey, Prakhar

doi:10.4103/jfmpc.jfmpc_115_18

Cited by 13 publications

(8 citation statements)

References 22 publications

(54 reference statements)

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“…The present health care service delivery in Nigeria is hospital based and concentrated around urban centers, as a result people residing in rural areas often lack many basic needs including ear care services. This lack of ear care services in rural communities is not only seen in Nigeria as many other countries have similar imbalance in their health system 21 .…”

Section: Discussionmentioning

confidence: 99%

Hearing healthcare gaps in LMICS: snapshot from a semi-urban community in Nigeria

Adeyemo¹,

Ogunkeyede²,

Dania³

2021

Afr H. Sci.

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Background: Low and middle-income countries (LMICs) have high prevalence of hearing loss which are mainly due to pre- ventable causes. While urban communities in LMICs are likely to have functional hearing healthcare delivery infrastructure, rural and semi-urban communities may have different reality. Objectives: This study aimed to provide: (i) a snapshot of the burden of ear diseases and (ii) a description of available hearing healthcare resources in a semi-urban Nigerian community. Methods: A cross-sectional study of households selected by multistage random sampling technique. Seventy-four partici- pants: 39 males and 35 females with mean age of 34 years ± 5.24 were recruited and answered a structured questionnaire. In addition, the availability of hearing healthcare services in 15 health centers within the community were determined. Results: All participants reported recent occurrence of ear complaints or gave similar history in a household member. Com- mon complaints were ear discharge, ear pain and hearing loss. Medical intervention was sought from patent medicine stores, hospitals and traditional healers. None of the assessed hospitals within the study site was manned by an ENT surgeon or ENT trained nurse. Conclusion: Despite the heavy burden of ear complaints there is inadequate hearing healthcare delivery in a typical LMIC community. This highlights the need for urgent improvement of hearing healthcare. Keywords: Hearing loss; healthcare delivery; disease burden; ear diseases; developing countries.

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Section: Discussionmentioning

confidence: 99%

Hearing healthcare gaps in LMICS: snapshot from a semi-urban community in Nigeria

Adeyemo¹,

Ogunkeyede²,

Dania³

2021

Afr H. Sci.

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“…NPPCD emphasizes on early identification of cases of hearing impairment and their management in collaboration with NRHM at the primary health care level, the detailed guidelines, and facilities essentially required have also been mentioned for all levels of health care but facility of audiometry is being not provided at the primary health care level. [18]…”

Section: Discussionmentioning

confidence: 99%

Validation of a questionnaire to identify noise-induced hearing loss among drivers

Manar

Shukla²,

Mohan

et al. 2019

J Family Med Prim Care

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Objective: To assess the validity of a questionnaire (consisting of 10 items/questions) to identify hearing loss (HL) among three-wheeler tempo and noncommercial car drivers. Materials and Methods: This was a cross-sectional study conducted in an urban area of Lucknow city. Three-wheeler tempo drivers and noncommercial car drivers were assessed for HL by audiometry. A total of 300 subjects, who fulfilled the study criteria, were selected for the interview and health assessment. The pure tone audiometry was conducted after >12 hours of the last noise exposure to avoid temporary threshold shift. Results: The percentage of respondents aged between 31 and 40 years was 36%. The highest affirmative response item was “Do you have trouble hearing in noisy background?” constituting 68% and the lowest affirmative response item was “Do you have trouble understanding the speech of women and children?” constituting 33.7%. Kappa values showed that there was significantly (<0.05) mild agreement between most of the items and the gold standard for mid and high-frequency HL. The area under the curve for low, mid, and high frequency HL was 0.76% (95% CI = 0.68–0.84), 0.69 (95% CI = 0.73–0.75), and 0.67 (95% CI = 0.62–0.73), respectively. The sensitivity and specificity were reasonable for all the definition of HL at different cutoff scores. Conclusion: A self-reported questionnaire-based approach may be used for the assessment of HL especially when audiometry is not feasible.

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“…of India, emphasizes on early identification of cases of hearing impairment and their management in collaboration with NRHM at Primary Health Care Level, the detailed guidelines and facilities essentially required, have also been mentioned for all levels of healthcare. [19]…”

Section: Discussionmentioning

confidence: 99%

Auditory effect of noise exposures among commercial and non-commercial light motor vehicle drivers: A comparative cross-sectional study in Lucknow city

Manar

Verma

Mohan

et al. 2019

J Family Med Prim Care

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Context: Noise-induced hearing loss, one of the most common and preventable occupational hazard, occurs due to repeated and continuous exposure of loud noise, A single exposure of an impulse of noise at the level of 130--140 dB or long and repeated exposures to loud sounds to an average level of 85 dB or higher for an 8-h period can cause permanent loss of hearing. Aims: To study and compare hearing loss over different audiometric frequencies among autorickshaw and non-commercial institutional personal car drivers. Settings and Design: This was a cross-sectional comparative study conducted at a tertiary medical college, located in Lucknow during October 2017–November 2018. Methods and Materials: The sample size was calculated using EpiInfo7. We took a sample size of 300 drivers, out of which 150 three-wheeler autorickshaw drivers (Tempo), that is, group I and 150 non-commercial car drivers, that is, group II were selected. Statistical Analysis Used: For statistical analysis, “Chi-square test of independence” and student's t-tests were used. Results: The mean age at which drivers in group I and group II started work was 23.91 ± 7.63 years an d 23.60 ± 5.58 years, respectively. The mean hearing loss in Group I was 21.15 ± 8.65 dB and in group II it was 13.34 ± 5.79 dB. Conclusions: Autorickshaw drivers who were exposed to louder noise, that is, autorickshaw drivers in group I had more sensory neural hearing loss than the non-commercial car drivers, that is, group II.

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Impact of Indian public health standards for rural health care facilities on national programme for control of deafness in India: The results of a cohort study

Cited by 13 publications

References 22 publications

Hearing healthcare gaps in LMICS: snapshot from a semi-urban community in Nigeria

Hearing healthcare gaps in LMICS: snapshot from a semi-urban community in Nigeria

Validation of a questionnaire to identify noise-induced hearing loss among drivers

Auditory effect of noise exposures among commercial and non-commercial light motor vehicle drivers: A comparative cross-sectional study in Lucknow city

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