Introduction

Diabetic retinopathy (DR) is a common micro-vascular complication of diabetes affecting more than 100 million individuals globally and is a leading cause of blindness especially among the working-age adult people [1, 2]. Additionally, it is expected that the global prevalence of DR increases significantly from about 103 million people in 2020, to 130 million in 2030, and 160 million in 2045 [3]. The global increasing in the prevalence of diabetes, lifestyle changes, and increasing lifespan might explain this projection [3]. The rates of increase in DR prevalence is higher in low-and-middle- income regions with the largest increase is expected to occur in the Middle East and North Africa (MENA) [3]. Thus, a comprehensive DR screening program to target people with T2DM is an urgent need.

Various methods are being used to screen DR including ocular examination by an ophthalmologist, and imaging techniques such as color fundus photography and optical coherence tomography (OCT) [4]. They have their own advantages and disadvantages. Although the standard method for screening DR is clinical ocular examination, the health economic burden associated with referral of the patients is a major concern. Retinal photography provides adequate field of retina for examination and can be used by trained technicians. The images can be stored for a long time; and can be examined at the different times by various professionals [4]. Although the single-field fundus photography is not a substitute for a comprehensive examination, it is of acceptable accuracy as a screening tool to identify patients with retinopathy [5, 6]. American diabetes association (ADA) recommends programs using retinal photography to improve access to DR screening [7]. On the other hand, to increase the effectiveness of the screening program we also require a standard screening algorithm. In this study, we described a DR screening program at a secondary care service using single-field fundus photography at the point of care using telemedicine and in collaboration with retina specialist.

Methods

This study retrospectively included known cases of type two diabetic people referred to an endocrinology clinic between 2016 and 2019 for their routine follow-up visits; and fulfilled the ADA criteria for DR screening [1]. The study protocol was approved by the Ethics Committee (EC) of the Institutional Review Board of the Iran University of Medical Science; ethics code: IR.IUMS.REC.1402.1081. The eligible participants were screened using the single-field non-mydriatic fundus photography obtained with a retinal camera (AFC-330 Non-mydriatic Auto Fundus Camera, NIDEK Inc. Japan). The camera takes 45 degrees color fundus retinal images centered on the fovea. The anonymous retinal images were sent to a retina specialist using a social media app (Telegram Messenger). All the images were interpreted and graded based on International Classification of Diabetic Retinopathy scale [8]. In brief, images with no or mild non-proliferative diabetic retinopathy (NPDR) were considered as screen-negative (non-referable) images, whereas those with moderate to severe NPDR or worse were classified as screen-positive (referable). Vision-threatening diabetic eye disease (VtDED) was defined as proliferative diabetic retinopathy (PDR) or the presence of diabetic macular edema (DME) [8]. Reports indicating retinopathy status and the need for direct retina examination were transmitted back to the endocrinology clinic. All patients were informed of their screening results and received the standard education about the consequences of DR. The screen-positive (referable) patients were referred to the retina specialist for direct retinal examination. Rate of attendance at the specialist visit was calculated by reviewing the ophthalmology clinic records. Moreover, the results of direct retinal examination were assessed.

Statistical analysis

The data were analyzed using STATA software. The continuous variables were described using mean (standard deviation (SD)) and median (interquartile range (IQR)), and t-test and Mann-Whitney test were the tools of inferring the data, respectively. The discrete variables were reported using number (percent) and the Chi-squared test was used for them. Considering the binary nature of the response variable, the logistic regression models were fitted on the covariates, in crude and adjusted versions. These models led to reporting odds ratios (ORs). P value less than 0.05 was considered significant.

Results

This study included 1159 patients with T2DM who were screened for DR using the single-field non-mydriatic fundus photography. Based on the interpretation of the images, 417 individuals (35.98%) considered as screen-positive patients and were asked to refer to the retina specialist for direct retinal examination. One hundred twenty-one individuals (29.01%) were visited by the retina specialist. The mean interval between the referral date and attendance at the retina specialist visit was 4.9 (± 8.9) months. Direct retinal examination of the 121 individuals indicated no DR in 31.9% and NPDR in 53.4% of the patients. Moreover, PDR and ME were reported in 2.6% and 12.1%, respectively (Fig. 1). There were no missing data regarding the included patients.

Fig. 1
figure 1

Flow diagram to demonstrate the participants at the point of care DR screening program NPDR; non-proliferative diabetic retinopathy, PDR; proliferative diabetic retinopathy, ME; macular edema

Characteristics of the patients screened for DR are presented in Table 1. Compared to the patients considered as screen-negative (non-referable), those considered as screen-positive patients (referable) were significantly older (56.6 vs. 53.9 years; p < 0.001), had longer duration of diabetes (8 vs. 5 years; p < 0.001), and had higher systolic blood pressure (SBP) (126.3 vs. 123.7 mmHg; p = 0.048. There was no significant difference considering glycated hemoglobin (HbA1C), diastolic blood pressure (DBP), or percentage of insulin users between the two groups.

Table 1 Baseline characteristics of the participants

Characteristics of screen-positive patients are presented in Table 2. Compared to the patients who did not attend at the retina specialist appointment, those who attended at the retina specialist appointment had a longer duration of diabetes (10 vs. 7 years; p = 0.001), and higher SBP (130.2 vs. 124.8 mmHg; p = 0.03). They also were more likely to use insulin (49.6 vs. 37.8%; p = 0.02). Moreover, 15 individuals (12.4%) of the patients who attended at the retina specialist appointment were referred due to VtDED.

Table 2 Characteristics of the screen-positive patients based on attendance at retina specialist visit

We further applied regression logistic models to determine factors associated with attendance at the retina specialist appointment. Although crude model indicated age, duration of diabetes, SBP, and insulin use were associated with greater odds of attendance at the retina specialist visit, the results were not significant in the adjusted model (Table 3).

Table 3 Factors associated with the attendance at retina specialist appointment

Discussion

In this study the rate of screen-positive diabetic retinopathy using the single-field non-mydriatic fundus photography was 35.98%. These patients were referred to a retina specialist. Of whom, 29.01% attended the retina specialist appointment; and more than 14% of them were found to have VtDED (DME and PDR).

A single-center study on patients with T2DM also showed screen-positive diabetic retinopathy in 28% of the participants, using a non-mydriatic, single-field retinal photography [9]. Another multicenter cross-sectional screening study used non-mydriatic fundus photographs estimated national prevalence of diabetic retinopathy in 12.5% of Indian population [10]. However, these studies did not investigate patient adherence to the referral recommendations [9]. A nationwide study of DR screening in Brazil indicated the overall screening coverage increased from 12.1% in 2014 to 21.2% in 2019 (p < 0.001) with substantial discrepancies in different regions [11]. This study included the patients who underwent screening using either dilated fundus examination or color fundus photograph [11]. The investigators concluded that screening for DR in patients with diabetes is ineffective in Brazil [11]. Interestingly, color fundus photographs consisted only 9.0% of the screening procedures and most patients underwent dilated fundus examination [11].

The ADA recommendation is performing fundus photography and interpretation with remote reading or use of a validated assessment tool can be an appropriate screening strategy for DR [7]. It has been shown fundus photography has the potential to increase the screening coverage of high-risk patients for DR and to enhance the efficiency and reduce the costs especially in areas where qualified eye care professionals are not available [12, 13]. Retinal imaging techniques have considerably evolved over the recent decades. The use of ultra wide field (UWF) fundus imaging improves the detection of DR lesions and leads to precise grading of DR [14]. However, the major problem of UWF imaging is high cost and limited availability. Moreover, use of artificial intelligence (AI) can aid in quick screening of DR and minimize requirement of trained human resource [15]. Although applying fundus photography improves DR screening, a structured program is needed to provide pathways for timely referral and direct retinal examination to increase patients’ adherence.

Adherence to DR screening recommendations continues to be a challenge. We found that about one third of screen-positive patients attended the specialist appointment. Although patients who adhered to the recommendations had longer duration of diabetes and higher SBP, and were more likely to use insulin, the effect of these factors was no longer remained significant after applying multivariate regression analysis. Although we did not specifically investigate the attitude of the participants toward their own responsibility to be in charge of their screening program, the results indicated the patients’ adherence to the recommendations is more likely to be due to other factors like their personal attitude rather than disease specific characteristics [16, 17].

A large number of screen-positive patients did not attend at the ophthalmologist appointment. Lack of symptoms might be a reason why these patients missed the DR screening appointment [16]. Investigation of factors associated with adherence to the DR screening program showed that the adherent patients were more likely to have family or friends experienced diabetic-related vision loss [16]. Moreover, reminding for the appointment time is another important issue that might improve the adherence to the appointment [16]. However, the patients included in this study did not receive reminder for the ophthalmologist appointment. Furthermore, they were screened for DR at the time of their routine follow-up at the endocrinology appointment, and were not forced to visit our collaborating ophthalmologist; thus, they might refer to another ophthalmologist.

Although many studies evaluated the adherence to DR screening programs, only a few specifically explored the adherence of screen-positive patients to the follow-up recommendations. A retrospective study of 974 patients with diabetes in an academic primary care clinic indicated 33.9% were adherent to ophthalmic screening appointments within a two-year period [18]. In addition, adherence during a one-year interval following the reference visit decreased to 18.7% [18]. Compared to this study, higher percentage of our patients attended at the retina specialist appointment within the first year. This indicated point of care DR screening may improve patient’s adherence. However, it should be considered that the above-mentioned study included both type one and two patients with diabetes encouraged to refer to the eye clinic for an annual diabetic eye examination in accordance with the screening recommendations. Thus, they were not necessarily screen-positive patients.

Moreover, more holistic health care programs namely, screening and assessment of diabetic foot as well as structured diabetes education sessions were associated with a greater adherence to diabetic retinopathy screening recommendations [18]. A survey of diabetic patients with low socioeconomic status showed an annual screening rate of 55%, although majority of them received a physician recommendation for DR screening [19]. Most patients reported financial burden and depression as the main barriers [19]. Low adherence to DR screening programs is also attributed to the lack of resources and infrastructures, lack of trained eye care professionals, and suboptimal access to care [20].

Many studies proposed the solutions to improve the DR screening programs. Well-planned education programs for physicians could increase the number of referrals and attendance of the patients for DR screening [21]. Moreover, beneficial effects of patient education programs on different aspects of diabetes care including retinopathy surveillance are well-established [22, 23]. Development of local guidelines or regional programs specific to resource setting is also suggested [20, 24].

We integrated DR screening program into the routine patient care referred to the endocrinology clinic. This approach seems to increase the rate of detection of DR and DME as well as adherence to the recommendation and decrease the interval of attendance at retinal specialist visit. Similarly, a recent study showed screening of DR at the tertiary point of care services enhances detection of DR [25]. This study indicated secondary care services can also have an important role in improvement of DR screening program. Accordingly, we proposed developing a clear care pathway for DR screening of the patients referred to the endocrinologist for receiving their routine diabetes care (Fig. 2).

Fig. 2
figure 2

Suggested strategy for a local diabetic retinopathy screening program at the point of care

Strengths and limitations

Most previous studies evaluated DR screening rate at the primary care clinics. But we assessed DR screening rate at the time of the routine care for diabetes at the secondary care services. Moreover, we focused on the adherence of the screen-positive patients, while most previous studies evaluated the adherence to the DR screening programs. The images were taken with a single retinal camera; and one retina specialist reviewed the images. However, this was a single center study and the results should be generalized with caution. Furthermore, we did not assess some important factors such as knowledge regarding DR screening, perceived risk and self-control, relationship with physician, and economic aspects, all reported to have an important role in the adherence to DR screening programs.

Conclusion

Screening of DR at the point of care in the secondary care clinics could improve the DR screening program through including a large number of patients in the screening program. Moreover, using fundus photography technique could provide the opportunity for early detection of patients with sight threatening retinopathy. This approach could be applied in local areas in collaboration of endocrinologists with retina specialist.