Working Towards Eye Health Equity for Indigenous Australians with Diabetes

Bias and Non-Diversity of Big Data in Artificial Intelligence: Focus on Retinal Diseases

Artificial intelligence (AI) applications in healthcare will have a potentially far-reaching impact on patient care, however issues regarding algorithmic bias and fairness have recently surfaced. There is a recognized lack of diversity in the available ophthalmic datasets, with 45% of the global population having no readily accessible representative images, leading to potential misrepresentations of their unique anatomic features and ocular pathology. AI applications in retinal disease may show less accuracy with underrepresented populations that may further widen the gap of health inequality if left unaddressed. Beyond disease symptomatology, social determinants of health must be integrated into our current paradigms of disease understanding, with the goal of more personalized care. AI has the potential to decrease global healthcare inequality, but it will need to be based on a more diverse, transparent and responsible use of healthcare data.

Mixed diabetic retinopathy screening coverage results in Indigenous Australian primary care settings: A nurse-led model of integrated diabetes care

AIMS

To determine eye screening coverage and adherence to national eye screening recommendations of a nurse-led retinal image-based model of diabetes education and eye screening in Indigenous primary care clinics.

DESIGN

A pre-post study.

METHODS

During January 2018-March 2020 Indigenous Australians with diabetes at three regional Australian clinics were offered eye screening by a nurse-diabetes educator/retinal imager. At the main site the nurse recruited/scheduled participants, and at satellite sites local clinic staff did so. Visual acuity was tested and digital retinal images acquired and graded. Participants were offered rescreening at or before 12-months based on baseline results.

RESULTS

In total 203 adults with diabetes attending Indigenous primary care clinics were screened, with divergent results based on the recruitment methods. At the main clinic 135 of 172 eligible adults (79%) were screened. At the satellite sites, 15 of 85 (18%) and 21 of 77 (27%) diabetes patients were screened. Combined coverage 51%.

CONCLUSION

A credentialed nurse-educator implemented a model of retinal image-based diabetes education, measured eye screening coverage and adherence to national eye screening guidelines, met the 'acceptable 75% eye screening coverage' benchmark and improved patient eye screening guideline adherence at the one site where the nurse-educator had access to patient recruitment and scheduling.

IMPACT

This novel nurse-led primary care iDEES model of retinal image-based diabetes education can improve the currently low Indigenous diabetes eye screening coverage in Australia. Importantly, the nurse-managed iDEES model of integrated diabetes care is readily adaptable to other settings and populations where access to and/or uptake of eye care is suboptimal.

CLINICAL TRIAL REGISTRATION

ANZCTRN1261800120435.

A model of culturally-informed integrated diabetes education and eye screening in indigenous primary care services and specialist diabetes clinics: Study protocol

AIMS

To improve diabetes management in Indigenous Australians using an integrated nurse-led model of diabetes education and eye screening in indigenous primary care and specialist diabetes clinics.

DESIGN

A pre-post study.

METHODS

This study will be implemented in indigenous primary care and specialist diabetes clinics in Victoria, Australia. Participants recruited to the study will be existing adult patient with diagnosed diabetes attending study sites. A nurse-credentialled diabetes educator and certified retinal imager will deliver three study components: (a) retinal photography as a diabetic retinopathy screening and patient engagement tool; (b) lifestyle and behaviour surveys, administered at baseline and at the final visit, in 12 months. Findings from the surveys and participants' retinal images will be used to guide; and (c) personalized diabetes education. The primary outcomes are participant adherence to diabetic eye screening recommendations and health service diabetic retinopathy screening coverage. Secondary outcomes are baseline DR prevalence and changes in clinical and lifestyle risk factor levels, diabetes knowledge and satisfaction with diabetes care.

DISCUSSION

Compared with non-indigenous Australians, Indigenous Australians have a high prevalence of diabetic retinopathy and blindness, low adherence to eye screening recommendations and suboptimal health literacy. Nurse-credentialled diabetes educators can be trained to incorporate retinal imaging and eye screening into their clinical practice to give image-based diabetes education to facilitate diabetic retinopathy management.

IMPACT

Credentialled nurse diabetes educators who integrate eye screening and diabetes education can facilitate timelier diabetic retinopathy screening, referral pathways and treatment of sight-threatening retinopathy. We believe that this model of integrated diabetes education and eye screening will also improve adherence to eye screening recommendations, population screening coverage, health literacy, risk factor levels and diabetes self-care.

CLINICAL TRIAL REGISTRATION

ANZCTRN1261800120435.

Differences in retinopathy prevalence and progression between Anglo-Celt and Aboriginal Australians: the Fremantle Diabetes Study Phase II

BACKGROUND

Indigenous populations have higher rates of diabetes and diabetic complications, yet there is a paucity of contemporary data on diabetic retinopathy (DR) prevalence and incidence in urban dwelling Aboriginal Australians.

AIMS

The aim of the study was to compare the prevalence of DR and incidence of new or worsening DR between Aboriginal Australians and Anglo-Celts with Type 2 diabetes.

METHODS

Participants from the community-based Fremantle Diabetes Study Phase II (817 Anglo-Celts, 94 Aboriginal people) recruited between 2008 and 2011 underwent fundus photography at baseline and biennial reviews. The prevalence of any DR and moderate non-proliferative DR (NPDR), and the incidence of new or worsening DR were ascertained using baseline and 4-year follow-up data.

RESULTS

Compared with Anglo-Celts, the Aboriginal participants had a higher prevalence of any DR (33.0% vs 52.1%) and moderate NPDR or worse (5.1% vs 24.4%), and new or worsening DR during follow up (6.7% vs 23.5%). The unadjusted odds ratios (95% confidence interval) of any DR and moderate NPDR at baseline were 2.21 (1.43, 3.39) and 5.98 (3.40, 10.50), respectively, and of new or worsening DR 4.32 (1.33, 13.98). In adjusted models, Aboriginal ethnicity was only associated with the prevalence of moderate NPDR or worse (5.58 (2.44, 12.76)).

CONCLUSIONS

Aboriginal participants had a higher prevalence of DR and new or worsening DR, reflecting conventional risk factors including suboptimal glycaemic control. Their significantly higher odds of moderate NPDR or worse in adjusted models suggest ethnic-specific determinants of DR severity. These findings highlight the need for equitable, culturally appropriate diabetes/ophthalmic care.