Self-Reported Hearing Loss in Baby Boomers from the Busselton Healthy Ageing Study: Audiometric Correspondence and Predictive Value

2013 ◽  
Vol 24 (06) ◽  
pp. 514-521 ◽  
Author(s):  
De Wet Swanepoel ◽  
Robert H. Eikelboom ◽  
Michael L. Hunter ◽  
Peter L. Friedland ◽  
Marcus D. Atlas

Background: The baby boomer population will become high users of the health-care system in coming years. Self-report of hearing loss at a primary health-care visit may offer timely referrals to audiological services, but there has been no population-based study of self-reported hearing loss in the baby boomer generation. Purpose: To determine the clinical value and audiometric correspondence of self-reported hearing loss as a screening tool for the baby boomer population. Research Design: A population-based study, Busselton Healthy Ageing Study (BHAS), surveying baby boomers born between 1946 and 1964 from the shire of Busselton, Western Australia. Study Sample: A randomized sample of noninstitutionalized baby-boomers listed on the electoral roll (n = 6690) and resident in the shire are eligible to participate. This study reports on data from the first 1004 attendees (53.5% female) with a mean age of 56.23 (SD = 5.43). Data Collection and Analysis: Data from a self-report question on hearing loss and diagnostic pure tone audiometry was utilized for this study. Analysis included screening performance measures of self-report compared to audiometric cut-offs, receiver operator curve (ROC) to determine optimal level, analysis of variance to compare hearing status to self-report, and binary logistic regression to determine best audiometric predictors. Results: Of the sample, 16% self-reported hearing loss (72.1% males). Logistic regression indicated 4000 Hz as the most important individual frequency related to self-report while the four-frequency average (500, 1000, 2000, and 4000 Hz) >25 dB in the worse ear was the most significant averaged cutoff with 68% sensitivity and 87% specificity. Of those who self-reported a hearing loss, 80% had either a four-frequency average hearing loss >25 dB in the worse ear or a high-frequency average (4000 and 8000 Hz) hearing loss greater than 35 dB in the worse ear. Conclusions: Baby boomer adults who self-report hearing impairment on direct inquiry are most likely to have a hearing loss. A simple question at a primary health care visit may facilitate a timely referral for audiological services in a baby boomer adult, who may be more amenable to rehabilitation.

2018 ◽  
Vol 9 ◽  
pp. 215013271880315 ◽  
Author(s):  
Christine Louw ◽  
De Wet Swanepoel ◽  
Robert H Eikelboom

Objective: To evaluate the performance of self-reported hearing loss alone and in combination with pure tone audiometry screening in primary health care clinics in South Africa. Design: Nonprobability purposive sampling was used at 2 primary health care clinics. A total of 1084 participants (mean age 41.2 years; SD 15.5 years; range 16-97 years, 74.0% female) were screened using self-report and audiometry screening. Those failing audiometric screening and a sample of those who passed audiometric screening were also assessed by diagnostic pure time audiometry, to confirm or negate the finding of a hearing loss. Results: Four hundred and thirty-six participants (40.2%) self-reported a hearing loss with no significant association with gender or race. One hundred and thirty-six participant (12.5%) self-reported hearing loss and failed audiometry screening (35 dB HL at 1, 2, and 4 kHz). Combining self-report with a second stage audiometry screening revealed a high test accuracy (81.0%) for hearing loss, being most accurate (86.1%) to identify high-frequency hearing loss. Conclusion: While self-report of hearing loss is an easy and time-efficient screening method to use at primary health care clinics, its accuracy may be limited when used in isolation and it may not be sufficiently sensitive to detect hearing loss. Combining a simple audiometry screening as a second-stage screen can significantly improve overall performance and efficiency of the screening protocol.


2012 ◽  
Vol 13 (1) ◽  
Author(s):  
Aina Pagès-Castellà ◽  
Cristina Carbonell-Abella ◽  
Francesc Fina Avilés ◽  
Maite Alzamora ◽  
Jose Miguel Baena-Díez ◽  
...  

Author(s):  
Hanan Khudadad ◽  
Lukman Thalib

Background: Antibiotics are antimicrobial drugs used in the treatment and prevention of bacterial infections. They played a pivotal role in achieving major advances in medicine and surgery (1). Yet, due to increased and inappropriate use of antibiotics, antibiotic resistance (AR) has become a growing public health problem. Information on antibiotic prescription patterns are vital in developing a constructive approach to deal with growing antibiotic resistance (2). The study aims to describe the population based antibiotic prescriptions among patients attending primary care centers in Qatar. Methodology: A population based observational study of all medications prescribed in the all Primary Health Care Centers during the period of 2017-2018 in Qatar. Records with all medication prescriptions were extracted and linked to medical diagnosis. Antibiotics prescriptions records were compared to non- antibiotics records using logistic regression model in identifying the potential predictors for antibiotic prescriptions. Results: A total of 11,069,439 medication prescriptions given over a period of two-years, we found about 12.1% (n= 726,667) antibiotics prescriptions were antibiotics, and 65% of antibiotics are prescribed and received by the patients at the first visits. Paracetamol (22.3%) was the first highest medication prescribed followed by antibiotics (12.1 %) and vitamin D2 (10.2 %). More than half of all antibiotics prescribed during the period of January 2017 to December 2018 were Penicillin (56.9%). We found that half of the antibiotics (49.3 %) have been prescribed for the respiratory system comparing to the other body system. We found that males were 29% more likely be given an antibiotic compared to females (OR=1.29, 95% CI= 1.24- 1.33). Implications: The study provides a baseline data to enable PHCC management to design effective intervention program to address the problem of antibiotics resistance. Furthermore, it will help the policymakers to comprehend the size of the issue and develop a system to manage the antibiotics therapy. Conclusion: Antibiotics was the second highest medication prescribed in the Primary Health Care Centers in Qatar after paracetamol and most of the patients received it at the first visit. Most of the prescriptions in Primary Health Care Centers in Qatar were for the respiratory system, and Penicillin was the highest class prescribed. Male visitors were prescribed antibiotics more than female visitors.


1997 ◽  
Vol 15 (1) ◽  
pp. 52-56 ◽  
Author(s):  
Lena Karlberg ◽  
Ingvar Krakau ◽  
Per-Olow Sjödén ◽  
Anna-Lena Undén

2006 ◽  
Vol 30 (4) ◽  
pp. 485 ◽  
Author(s):  
Elizabeth J Comino ◽  
Oshana Hermiz ◽  
Jeff Flack ◽  
Elizabeth Harris ◽  
Gawaine Powell Davies ◽  
...  

Objective: Currently, primary health care (PHC) is under-represented in health statistics due to the lack of a comprehensive PHC data collection. This research explores the utility of population health surveys to address questions relating to access to and use of PHC, using diabetes as an example. Methods: Drawing on published material relating to diabetes management, we developed a conceptual framework of access to and use of quality PHC. Using this framework we examined three recent population-based health surveys ? the 2001 National Health Survey, 2002?03 NSW Health Survey, and AusDiab ? to identify relevant information collection. Results: We identified seven domains comprising aspects of quality PHC for people with diabetes. For each domain we proposed associated indicators. In critiquing the three population health surveys in relation to these indicators, we identified strengths and weaknesses of the data collections. Conclusion: This approach could inform the development of questions and extension of population health surveys to provide a better understanding of access to and use of quality PHC in Australia. The additional information would complement other data collections with a communitybased perspective and contribute to the develop- ment of PHC policy.


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