Agreement between diagnoses of otitis media by audiologists and otolaryngologists in Aboriginal Australian children

Gunasekera, Hasantha; Miller, Hilary M.; Burgess, Leonie; Chando, Shingisai; Sheriff, Simone L.; Tsembis, Julie D.; Kong, Kelvin; Coates, Harvey; Curotta, John; Falster, Kathleen; McIntyre, Peter; Banks, Emily; Peter, Natasha J.; Craig, Jonathan C.

doi:10.5694/mja18.00249

Cited by 16 publications

(7 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…20,25,26 Although audiologists can recognise some tympanic membrane conditions with accuracy that is comparable to otolaryngologists, healthcare workers with less training have significantly lower accuracy. 16 The implications of inaccurate diagnosis are significantly more severe in settings with limited access to otolaryngologists and audiologists. 27…”

Section: Discussionmentioning

confidence: 99%

“…Specialist otolaryngologists are able to provide the most accurate diagnoses, but access to such specialists is limited in rural and remote communities, and this poses potential missed opportunities for diagnosis and treatment. 15,16 Most ear disease screening is performed by local nurses or Indigenous healthcare workers in rural and remote areas, who have less clinical experience and formal training, and limited access to ear specialists (i.e. audiology, otolaryngology, hearing aid services).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Artificial intelligence to detect tympanic membrane perforations

et al. 2020

View full text Add to dashboard Cite

ObjectiveTo explore the feasibility of constructing a proof-of-concept artificial intelligence algorithm to detect tympanic membrane perforations, for future application in under-resourced rural settings.MethodsA retrospective review was conducted of otoscopic images analysed using transfer learning with Google's Inception-V3 convolutional neural network architecture. The ‘gold standard’ ‘ground truth’ was defined by otolaryngologists. Perforation size was categorised as less than one-third (small), one-third to two-thirds (medium), or more than two-thirds (large) of the total tympanic membrane diameter.ResultsA total of 233 tympanic membrane images were used (183 for training, 50 for testing). The algorithm correctly identified intact and perforated tympanic membranes (overall accuracy = 76.0 per cent, 95 per cent confidence interval = 62.1–86.0 per cent); the area under the curve was 0.867 (95 per cent confidence interval = 0.771–0.963).ConclusionA proof-of-concept image-classification artificial intelligence algorithm can be used to detect tympanic membrane perforations and, with further development, may prove to be a valuable tool for ear disease screening. Future endeavours are warranted to develop a point-of-care tool for healthcare workers in areas distant from otolaryngology.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Artificial intelligence to detect tympanic membrane perforations

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Middle ear conditions (e.g., acute otitis media and otitis media with effusion) may impact hearing, speech and language development, which may in turn adversely impact overall school readiness [40]. Among Aboriginal children, the prevalence of otitis media can range between 7 and 50% depending on whether the sample is urban or remote [41,42] and findings from SEARCH indicate 29% of children aged 0-17 years had a current specialist-confirmed diagnosis of otitis media at baseline [21,43]. We found an association between a history of ear infection and developmental risk, and access to quality ear health interventions could afford an opportunity to modify the developmental risk of Aboriginal children.…”

Section: Discussionmentioning

confidence: 99%

Developmental risk among Aboriginal children living in urban areas in Australia: the Study of Environment on Aboriginal Resilience and Child Health (SEARCH)

et al. 2020

Self Cite

View full text Add to dashboard Cite

Background: Most Australian Aboriginal children are on track with their development, however, the prevalence of children at risk of or with a developmental or behavioural problem is higher than in other children. Aboriginal child development data mostly comes from remote communities, whereas most Aboriginal children live in urban settings. We quantified the proportion of participating children at moderate and high developmental risk as identified by caregivers' concerns, and determined the factors associated with developmental risk among urban Aboriginal communities. Methods: Study methods were co-designed and implemented with four participating urban Aboriginal Community Controlled Health Services in New South Wales, Australia, between 2008 and 2012. Caregiver-reported data on children < 8 years old enrolled in a longitudinal cohort study (Study of Environment on Aboriginal Resilience and Child Health: SEARCH) were collected by interview. The Parents' Evaluation of Developmental Status (PEDS) was used to assess developmental risk through report of caregiver concerns. Odds ratios (OR) were calculated using multinomial logistic regression to investigate risk factors and develop a risk prediction model. Results: Of 725 children in SEARCH with PEDS data (69% of eligible), 405 (56%) were male, and 336 (46%) were aged between 4.5 and 8 years. Using PEDS, 32% were at high, 28% moderate, and 40% low/no developmental risk. Compared with low/no risk, factors associated with high developmental risk in a mutually-adjusted model, with additional adjustment for study site, were male sex (OR 2.42, 95% confidence intervals 1.62-3.61), being older (4.5 to < 8 years versus < 3 years old, 3.80, 2.21-6.54), prior history of ear infection (1.95, 1.21-3.15), having lived in 4 or more houses versus one house (4.13, 2.04-8.35), foster care versus living with a parent (5.45, 2.32-12.78), and having a caregiver with psychological distress (2.40, 1.37-4.20). Conclusion: In SEARCH, 40% of urban Aboriginal children younger than 8 years were at no or low developmental risk. Several factors associated with higher developmental risk were modifiable. Aboriginal community-driven programs to improve detection of developmental problems and facilitate early intervention are needed.

show abstract

“…Typically, age of onset of chronic disease is three to six months [21]. Aboriginal children in urban Australia experience similar prevalence of otitis media, but in a milder form [22]. While the prevalence of otitis media declines for non-Aboriginal children older than seven years, Aboriginal and Torres Strait Islander children can experience persistent otitis media well into their adolescence [3].…”

Section: Introductionmentioning

confidence: 99%

Hearing loss and speech understanding in noise in Aboriginal and Torres Strait Islander children from locations varying in remoteness and socio-educational advantage

Mealings

Harkus

Hwang

et al. 2020

International Journal of Pediatric Otorhinolaryngology

View full text Add to dashboard Cite

Hearing loss and speech understanding in noise in Aboriginal and Torres Strait Islander children from locations varying in remoteness and socio-educational advantage Objective: Otitis media resulting in conductive hearing loss is a major health issue for Aboriginal and Torres Strait Islander children, which can also lead to the child developing spatial processing disorder (SPD). This study examined the prevalence of hearing loss and deficits in speech understanding in noise, including SPD, in Aboriginal and Torres Strait Islander children from schools varying in remoteness and socio-educational advantage. Method: 288 Aboriginal and Torres Strait Islander children aged 4-14 years from three schools varying in remoteness and socio-educational advantage completed audiological assessment and the Listening in Spatialized Noise -Sentences test to assess for hearing loss and SPD. Children also completed Sound Scouts, a selfadministered tablet-based hearing test which screens for these deficits. The prevalence of hearing issues was compared to what is expected from a typical population.Results: The proportion of children with hearing problems was related to the school's socio-educational advantage, with higher proportions in schools with a lower socio-educational advantage. Proportions of children with speech-in-noise deficits (including SPD) was related to the remoteness of the school, with higher proportions in schools that were more remote.

show abstract

Agreement between diagnoses of otitis media by audiologists and otolaryngologists in Aboriginal Australian children

Cited by 16 publications

References 27 publications

Artificial intelligence to detect tympanic membrane perforations

Artificial intelligence to detect tympanic membrane perforations

Developmental risk among Aboriginal children living in urban areas in Australia: the Study of Environment on Aboriginal Resilience and Child Health (SEARCH)

Hearing loss and speech understanding in noise in Aboriginal and Torres Strait Islander children from locations varying in remoteness and socio-educational advantage

Contact Info

Product

Resources

About