A parsimonious approach for screening moderate-to-profound hearing loss in a community-dwelling geriatric population based on a decision tree analysis
Abstract Background Hearing loss is one of the most common modifiable factors associated with cognitive and functional decline in geriatric populations. An accurate, easy-to-apply, and inexpensive hearing screening method is needed to detect hearing loss in community-dwelling elderly people, interve...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2019-08-01
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| Series: | BMC Geriatrics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12877-019-1232-x |
| _version_ | 1818881399469375488 |
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| author | Min Zhang Zhaori Bi Xinping Fu Jiaofeng Wang Qingwei Ruan Chao Zhao Jirong Duan Xuan Zeng Dian Zhou Jie Chen Zhijun Bao |
| author_facet | Min Zhang Zhaori Bi Xinping Fu Jiaofeng Wang Qingwei Ruan Chao Zhao Jirong Duan Xuan Zeng Dian Zhou Jie Chen Zhijun Bao |
| author_sort | Min Zhang |
| collection | DOAJ |
| description | Abstract Background Hearing loss is one of the most common modifiable factors associated with cognitive and functional decline in geriatric populations. An accurate, easy-to-apply, and inexpensive hearing screening method is needed to detect hearing loss in community-dwelling elderly people, intervene early and reduce the negative consequences and burden of untreated hearing loss on individuals, families and society. However, available hearing screening tools do not adequately meet the need for large-scale geriatric hearing detection due to several barriers, including time, personnel training and equipment costs. This study aimed to propose an efficient method that could potentially satisfy this need. Methods In total, 1793 participants (≥60 years) were recruited to undertake a standard audiometric air conduction pure tone test at 4 frequencies (0.5–4 kHz). Audiometric data from one community were used to train the decision tree model and generate a pure tone screening rule to classify people with or without moderate or more serious hearing impairment. Audiometric data from another community were used to validate the tree model. Results In the decision tree analysis, 2 kHz and 0.5 kHz were found to be the most important frequencies for hearing severity classification. The tree model suggested a simple two-step screening procedure in which a 42 dB HL tone at 2 kHz is presented first, followed by a 47 dB HL tone at 0.5 kHz, depending on the individual’s response to the first tone. This approach achieved an accuracy of 91.20% (91.92%), a sensitivity of 95.35% (93.50%) and a specificity of 86.85% (90.56%) in the training dataset (testing dataset). Conclusions A simple two-step screening procedure using the two tones (2 kHz and 0.5 kHz) selected by the decision tree analysis can be applied to screen moderate-to-profound hearing loss in a community-based geriatric population in Shanghai. The decision tree analysis is useful in determining the optimal hearing screening criteria for local elderly populations. Implanting the pair of tones into a well-calibrated sound generator may create a simple, practical and time-efficient screening tool with high accuracy that is readily available at healthcare centers of all levels, thereby facilitating the initiation of extensive nationwide hearing screening in older adults. |
| first_indexed | 2024-12-19T15:01:15Z |
| format | Article |
| id | doaj.art-720ccc759ecd458b88f6272cae15cd37 |
| institution | Directory Open Access Journal |
| issn | 1471-2318 |
| language | English |
| last_indexed | 2024-12-19T15:01:15Z |
| publishDate | 2019-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Geriatrics |
| spelling | doaj.art-720ccc759ecd458b88f6272cae15cd372022-12-21T20:16:34ZengBMCBMC Geriatrics1471-23182019-08-0119111110.1186/s12877-019-1232-xA parsimonious approach for screening moderate-to-profound hearing loss in a community-dwelling geriatric population based on a decision tree analysisMin Zhang0Zhaori Bi1Xinping Fu2Jiaofeng Wang3Qingwei Ruan4Chao Zhao5Jirong Duan6Xuan Zeng7Dian Zhou8Jie Chen9Zhijun Bao10Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Fudan UniversityNational Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan UniversitySpeech and Hearing Rehabilitation Department, Punan Hospital, Fudan UniversityShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Fudan UniversityShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Fudan UniversityNational Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan UniversitySpeech and Hearing Rehabilitation Department, Punan Hospital, Fudan UniversityThe State Key Laboratory of ASIC & System, Department of Microelectronics, Fudan UniversityDepartment of Electrical Engineering, University of Texas at DallasShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Fudan UniversityShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Fudan UniversityAbstract Background Hearing loss is one of the most common modifiable factors associated with cognitive and functional decline in geriatric populations. An accurate, easy-to-apply, and inexpensive hearing screening method is needed to detect hearing loss in community-dwelling elderly people, intervene early and reduce the negative consequences and burden of untreated hearing loss on individuals, families and society. However, available hearing screening tools do not adequately meet the need for large-scale geriatric hearing detection due to several barriers, including time, personnel training and equipment costs. This study aimed to propose an efficient method that could potentially satisfy this need. Methods In total, 1793 participants (≥60 years) were recruited to undertake a standard audiometric air conduction pure tone test at 4 frequencies (0.5–4 kHz). Audiometric data from one community were used to train the decision tree model and generate a pure tone screening rule to classify people with or without moderate or more serious hearing impairment. Audiometric data from another community were used to validate the tree model. Results In the decision tree analysis, 2 kHz and 0.5 kHz were found to be the most important frequencies for hearing severity classification. The tree model suggested a simple two-step screening procedure in which a 42 dB HL tone at 2 kHz is presented first, followed by a 47 dB HL tone at 0.5 kHz, depending on the individual’s response to the first tone. This approach achieved an accuracy of 91.20% (91.92%), a sensitivity of 95.35% (93.50%) and a specificity of 86.85% (90.56%) in the training dataset (testing dataset). Conclusions A simple two-step screening procedure using the two tones (2 kHz and 0.5 kHz) selected by the decision tree analysis can be applied to screen moderate-to-profound hearing loss in a community-based geriatric population in Shanghai. The decision tree analysis is useful in determining the optimal hearing screening criteria for local elderly populations. Implanting the pair of tones into a well-calibrated sound generator may create a simple, practical and time-efficient screening tool with high accuracy that is readily available at healthcare centers of all levels, thereby facilitating the initiation of extensive nationwide hearing screening in older adults.http://link.springer.com/article/10.1186/s12877-019-1232-xCommunity-dwelling geriatricsHearing screeningDecision tree |
| spellingShingle | Min Zhang Zhaori Bi Xinping Fu Jiaofeng Wang Qingwei Ruan Chao Zhao Jirong Duan Xuan Zeng Dian Zhou Jie Chen Zhijun Bao A parsimonious approach for screening moderate-to-profound hearing loss in a community-dwelling geriatric population based on a decision tree analysis BMC Geriatrics Community-dwelling geriatrics Hearing screening Decision tree |
| title | A parsimonious approach for screening moderate-to-profound hearing loss in a community-dwelling geriatric population based on a decision tree analysis |
| title_full | A parsimonious approach for screening moderate-to-profound hearing loss in a community-dwelling geriatric population based on a decision tree analysis |
| title_fullStr | A parsimonious approach for screening moderate-to-profound hearing loss in a community-dwelling geriatric population based on a decision tree analysis |
| title_full_unstemmed | A parsimonious approach for screening moderate-to-profound hearing loss in a community-dwelling geriatric population based on a decision tree analysis |
| title_short | A parsimonious approach for screening moderate-to-profound hearing loss in a community-dwelling geriatric population based on a decision tree analysis |
| title_sort | parsimonious approach for screening moderate to profound hearing loss in a community dwelling geriatric population based on a decision tree analysis |
| topic | Community-dwelling geriatrics Hearing screening Decision tree |
| url | http://link.springer.com/article/10.1186/s12877-019-1232-x |
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