Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial

Diabetic retinopathy can be prevented with screening and early detection. We hypothesized that autonomous artificial intelligence (AI) diabetic eye exams at the point-of-care would increase diabetic eye exam completion rates in a racially and ethnically diverse youth population. AI for Children's diabetiC Eye ExamS (NCT05131451) is a parallel randomized controlled trial that randomized youth (ages 8-21 years) with type 1 and type 2 diabetes to intervention (autonomous artificial intelligence diabetic eye exam at the point of care), or control (scripted eye care provider referral and education) in an academic pediatric diabetes center. The primary outcome was diabetic eye exam completion rate within 6 months. The secondary outcome was the proportion of participants who completed follow-through with an eye care provider if deemed appropriate. Diabetic eye exam completion rate was significantly higher (100%, 95%CI: 95.5%, 100%) in the intervention group (n = 81) than the control group (n = 83) (22%, 95%CI: 14.2%, 32.4%)(p < 0.001). In the intervention arm, 25/81 participants had an abnormal result, of whom 64% (16/25) completed follow-through with an eye care provider, compared to 22% in the control arm (p < 0.001). Autonomous AI increases diabetic eye exam completion rates in youth with diabetes.

Factors associated with appointment 'no-shows' at two tertiary level outpatient oculoplastic clinics

PURPOSE

Appointment no-shows in clinics can adversely impact patients and physicians alike. This study aimed to determine the rate and potential causes of missed appointments in oculoplastic clinics and compare a private practice and hospital-based academic setting.

METHODS

A retrospective review of patients who booked appointments for oculoplastic consultation, between August 2019 and January 2020 at two oculoplastic clinics was performed. Demographic and patient-specific characteristics of patients who failed to attend their appointment were identified. Data were analysed to determine and compare the no-show rates in both clinics and logistic regression was performed to determine factors associated with them.

RESULTS

The rate of missed appointments was 3% and 17% at the oculoplastic clinics of Lions Eye Institute (LEI, private practice) and Albany Medical Center (AMC, academic hospital-based office), respectively. Patients at the AMC clinic were more likely to be male, younger, have a lower household income, not carry private insurance, and suffer from trauma. Logistic regression analysis showed lower patient age to significantly increase the likelihood of no-shows in both clinics (p = .01 for LEI, p = .003 for AMC), and lead appointment time greater than 90 days to be a significant risk factor for no-shows at LEI (p = .01).

CONCLUSIONS

The no-show rate for oculoplastic appointments is 3% and 17% at LEI and AMC clinics, respectively. Our analysis shows that younger patients are more likely to miss appointments at both clinics, and an appointment lead time greater than 90 days is a significant risk factor for no-shows at LEI.

Disparities in Eye Care Access and Utilization: A Narrative Review

This narrative review summarizes the literature on factors related to eye care access and utilization in the United States. Using the Healthy People 2030 framework, this review investigates social determinants of health associated with general and follow-up engagement, screenings, diagnostic visits, treatment, technology, and teleophthalmology. We provide hypotheses for these documented eye care disparities, featuring qualitative, patient-centered research. Lastly, we provide recommendations in the hopes of appropriately eliminating these disparities and reimagining eye care.

Follow-Up Adherence After Community Health Vision Screening Programs: A Review of the Literature

Objective  Although the purpose of community eye screening programs is to reduce health care disparities, the effectiveness of these programs is limited by the follow-up adherence of their participants. The aim of this review is to investigate factors that may promote or hinder participants from attending follow-up ophthalmological exams after community eye screenings and identify interventions to increase follow-up rates. Methods  For literature review, PubMed, Web of Science, Embase, Proquest/Global Health Library, and Google Scholar databases were searched to identify studies of community eye screenings published between January 2000 and May 2023. Data from these articles were analyzed to identify barriers and facilitators of follow-up adherence after community eye screenings in the United States and to examine strategies used to increase follow-up rates. Only published manuscripts were included. We excluded studies of school screenings and clinic-based screenings. Results  A total of 28 articles were included. Follow-up rates ranged from 12.5 to 89%. Nineteen articles reviewed facilitators and barriers to follow-up. Eighteen articles were non interventional and seven (see Table 1 and 2 , respectively) articles described interventions that were tested to improve follow-up rates after screening. Interventions included prescheduled appointments, transportation assistance, patient education, and patient navigators. Conclusion  Several interventions are promising to increase follow-up adherence in community eye screenings, but more evidence is needed. Future research should focus on randomized trials of isolated interventions to improve follow-up adherence of disadvantaged populations, although this may be limited given ethical considerations and documented lack of follow-up after screening.

Mailed Letter Versus Phone Call to Increase Diabetic-Related Retinopathy Screening Engagement by Patients in a Team-Based Primary Care Practice: Prospective, Single-Masked, Randomized Trial

BACKGROUND

Vision loss from diabetic-related retinopathy (DR) is preventable through regular screening.

OBJECTIVE

The purpose of this study was to test different patient engagement approaches to expand a teleophthalmology program at a primary care clinic in the city of Toronto, Canada.

METHODS

A teleophthalmology program was set up in a large, urban, academic, team-based primary care practice. Patients older than 18 years with type 1 or type 2 diabetes were randomized to one of the following 4 engagement strategies: phone call, mail, mail plus phone call, or usual care. Outreach was conducted by administrative staff within the clinic. The primary outcome was booking an appointment for DR screening.

RESULTS

A total of 23 patients in the phone, 28 in the mail, 32 in the mail plus phone call, and 27 in the control (usual care) group were included in the analysis. After the intervention and after excluding patients who said they were screened, 88% (15/17) of patients in the phone, 11% (2/18) in the mail, and 100% (21/21) in the mail and phone group booked an appointment with the teleophthalmology program compared to 0% (0/12) in the control group. Phoning patients positively predicted patients booking a teleophthalmology appointment (P<.001), whereas mailing a letter had no effect.

CONCLUSIONS

Patient engagement to book DR screening via teleophthalmology in an urban, academic, team-based primary care practice using telephone calls was much more effective than patient engagement using letters or usual care. Practices that have access to a local DR screening program and have resources for such engagement strategies should consider using them as a means to improve their DR screening rates.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03927859; https://clinicaltrials.gov/ct2/show/NCT03927859.

Effect of health system on the association of rurality and level of disadvantage with receipt of diabetic eye screening

INTRODUCTION

Rural versus urban disparities have been observed in diabetic eye screening, but whether the level of disadvantage in rural versus urban areas is related to these disparities is unclear. Our goal was to determine the role of level of disadvantage in explaining the effect of health systems on rural and urban disparities in diabetic eye screening.

RESEARCH DESIGN AND METHODS

This is a retrospective cohort study using an all-payer, state-wide claims database covering over 75% of Wisconsin residents. We included adults with diabetes (18-75 years old) who had claims billed throughout the baseline (2012-2013) and measurement (2013-2014) years. We performed multivariable regressions to assess factors associated with receipt of diabetic eye screening. The primary exposure was the primary care clinic's combined level of rurality and disadvantage. We adjusted for the health system as well as patient-level variables related to demographics and comorbidities. Health system was defined as an associated group of physicians and/or clinics.

RESULTS

A total of 118 707 adults with diabetes from 698 primary care clinics in 143 health systems met the inclusion criteria. Patients from urban underserved clinics were less likely to receive screening than those from rural underserved clinics before adjusting for health system in the model. After adjusting for health system fixed effects, however, the directionality of the relationship between clinic rurality and screening reversed: patients from urban underserved clinics were more likely to receive screening than those from rural underserved clinics. Similar findings were observed for both Medicare and non-Medicare subgroups.

CONCLUSIONS

The effect of health system on receipt of diabetic eye screening in rural versus urban areas is most pronounced in underserved areas. Health systems, particularly those providing care to urban underserved populations, have an opportunity to increase screening rates by leveraging health system-level interventions to support patients in overcoming barriers from social determinants of health.

Opportunities To Improve Diabetes Care in the Hemodialysis Unit: A Cohort Study in Ontario, Canada

Background

Patients with diabetes receiving chronic, in-center hemodialysis face healthcare challenges. We examined the prevalence of gaps in their diabetes care, explored regional differences, and determined predictors of care gaps.

Methods

We conducted a population-based, retrospective study between January 1, 2016 and January 1, 2018 in Ontario, Canada. We included adults with prevalent diabetes mellitus receiving in-center hemodialysis as of January 1, 2018 and examined the proportion with (1) insufficient or excessive glycemic monitoring, (2) suboptimal screening for diabetes-related complications (retinopathy and cardiovascular screening), (3) hospital encounters for hypo- or hyperglycemia, and (4) hospital encounters for hypertension in the 2 years prior (January 1, 2016 to January 1, 2018). We then identified patient, provider, and health-system factors associated with more than one care gap and used multivariable logistic regression to determine predictors. Further, we used geographic information systems to explore spatial variation in gaps.

Results

There were 4173 patients with diabetes receiving in-center hemodialysis; the mean age was 67 years, 39% were women, and the majority were of lower socioeconomic status. Approximately 42% of patients had more than one diabetes care gap, the most common being suboptimal retinopathy screening (53%). Significant predictors of more than one gap included younger age, female sex, shorter duration of diabetes, dementia, fewer specialist visits, and not seeing a physician for diabetes. There was evidence of spatial variation in care gaps across our region.

Conclusions

There are opportunities to improve diabetes care in patients receiving in-center hemodialysis, particularly screening for retinopathy. Focused efforts to bring diabetes support to high-risk individuals might improve their care and outcomes.

Health education improves referral compliance of persons with probable Diabetic Retinopathy: A randomized controlled trial

Objective

Lack of awareness about Diabetic Retinopathy (DR) is the most commonly cited reason why many persons with type 2 diabetes are non-compliant with referral instruction to undergo retinal screening. The purpose of this study was to evaluate the efficacy of a culturally, geographically and socially appropriate, locally adapted five-month-long health education on referral compliance of participants.

Method

A prospective randomized, open-label parallel group study was conducted on persons with type 2 diabetes who underwent basic eye screening at a diabetes hospital between September 2017 and August 2018. Participants who were noncompliant with referral instruction to visit a hospital for advanced DR management were randomly divided into health education intervention group (n = 143) and control group (n = 156). Both groups received information regarding DR and referral instruction at the diabetes hospital. The intervention group was provided personalized education followed by telephonic reminders. The primary endpoint was ‘increase in referral compliance’ and the secondary endpoint was ‘increase in knowledge of DR’. Multivariate logistic regression model was used to identify significant predictors of compliance to referral.

Results

A total of nine participants dropped and 290 completed the post intervention survey. The compliance rate in intervention group was found to be significantly higher than the control group (64.3% vs 28.2%; OR 4.73; 95% CI 2.87–7.79; p<0.001). Participants in the intervention group acquired better knowledge on DR (p<0.05). Apart from intervention, referral compliance rate was also found to be significantly associated with participants’ self-perception of vision problem (OR 2.02; 95% CI 1.02–4.01; p = 0.045) and participants’ income (OR 1.24; 95% CI 1.06–1.44; p = 0.008).

Discussion

Our results suggest that intensive health education on DR should be integrated with diabetes education as it may result in significantly improved referral compliance. Outcomes may be sustainable if interventions are institutionalized at referral point.

Trial registration

Clinical Trials.gov (Registration # NCT03658980); https://clinicaltrials.gov/ct2/show/NCT03658980.

A Review of Advancements and Evidence Gaps in Diabetic Retinopathy Screening Models

Diabetic retinopathy (DR) is a microvascular complication of diabetes with a prevalence of ~35%, and is one of the leading causes of visual impairment in people of working age in most developed countries. The earliest stage of DR, non-proliferative DR (NPDR), may progress to sight-threatening DR (STDR). Thus, early detection of DR and active regular screening of patients with diabetes are necessary for earlier intervention to prevent sight loss. While some countries offer systematic DR screening, most nations are reliant on opportunistic screening or do not offer any screening owing to limited healthcare resources and infrastructure. Currently, retinal imaging approaches for DR screening include those with and without mydriasis, imaging in single or multiple fields, and the use of conventional or ultra-wide-field imaging. Advances in telescreening and automated detection facilitate screening in previously hard-to-reach communities. Despite the heterogeneity in approaches to fit local needs, an evidence base must be created for each model to inform practice. In this review, we appraise different aspects of DR screening, including technological advances, identify evidence gaps, and propose several studies to improve DR screening globally, with a view to identifying patients with moderate-to-severe NPDR who would benefit if a convenient treatment option to delay progression to STDR became available.

Impact of Socioeconomic Disadvantage and Diabetic Retinopathy Severity on Poor Ophthalmic Follow-Up in a Rural Vermont and New York Population

Objective

To investigate the impact of socioeconomic disadvantage and diabetic retinopathy severity on follow-up for vision care among people with diabetes mellitus (DM) residing in rural Vermont and northern New York State.

Methods

A retrospective chart review of people with DM who visited our academic eye clinic at least once between October 1, 2015, and March 31, 2016, was done. Of 1,466 unique patient visits, 500 were chosen for full chart review by simple random sampling. DM follow-up within 1 year was recommended for 331 adults. Data about prescribed and actual follow-up intervals were extracted. Regression models were used to identify factors associated with poor attendance at follow-up appointments.

Results

Sixty-eight [20.5%] patients had poor follow-up, defined as no ophthalmology visit within double the prescribed interval. Of these, 57 were not seen in follow-up by the end of study observation. Poor follow-up was greatest among socioeconomically disadvantaged patients, as defined by Medicaid enrollment (odds ratio [OR], 1.95; 95% CI, 1.07–3.56) in comparison to non-disadvantaged patients. Follow-up was better among those with moderate or worse diabetic retinopathy (OR, 0.38 95% CI, 0.20–0.70), and those with macular edema (OR, 0.19; 95% CI, 0.057–0.62).

Conclusion

Medicaid insurance and better diabetic retinopathy status were associated with worse follow-up among our predominantly rural population of patients. Patients who did not follow-up within double the recommended interval were unlikely to follow-up at all. Interventions are needed to target those at highest risk for poor follow-up.

Development of an intervention to facilitate implementation and uptake of diabetic retinopathy screening

BACKGROUND

'Implementation interventions' refer to methods used to enhance the adoption and implementation of clinical interventions such as diabetic retinopathy screening (DRS). DRS is effective, yet uptake is often suboptimal. Despite most routine management taking place in primary care and the central role of health care professionals (HCP) in referring to DRS, few interventions have been developed for primary care. We aimed to develop a multifaceted intervention targeting both professionals and patients to improve DRS uptake as an example of a systematic development process combining theory, stakeholder involvement, and evidence.

METHODS

First, we identified target behaviours through an audit in primary care of screening attendance. Second, we interviewed patients (n = 47) and HCP (n = 30), to identify determinants of uptake using the Theoretical Domains Framework, mapping these to behaviour change techniques (BCTs) to develop intervention content. Thirdly, we conducted semi-structured consensus groups with stakeholders, specifically users of the intervention, i.e. patients (n = 15) and HCPs (n = 16), regarding the feasibility, acceptability, and local relevance of selected BCTs and potential delivery modes. We consulted representatives from the national DRS programme to check intervention 'fit' with existing processes. We applied the APEASE criteria (affordability, practicability, effectiveness, acceptability, side effects, and equity) to select the final intervention components, drawing on findings from the previous steps, and a rapid evidence review of operationalised BCT effectiveness.

RESULTS

We identified potentially modifiable target behaviours at the patient (consent, attendance) and professional (registration) level. Patient barriers to consent/attendance included confusion between screening and routine eye checks, and fear of a negative result. Enablers included a recommendation from friends/family or professionals and recognising screening importance. Professional barriers to registration included the time to register patients and a lack of readily available information on uptake in their local area/practice. Most operationalised BCTs were acceptable to patients and HCPs while the response to feasibility varied. After considering APEASE, the core intervention, incorporating a range of BCTs, involved audit/feedback, electronic prompts targeting professionals, HCP-endorsed reminders (face-to-face, by phone and letter), and an information leaflet for patients.

CONCLUSIONS

Using the example of an intervention to improve DRS uptake, this study illustrates an approach to integrate theory with user involvement. This process highlighted tensions between theory-informed and stakeholder suggestions, and the need to apply the Theoretical Domains Framework (TDF)/BCT structure flexibly. The final intervention draws on the trusted professional-patient relationship, leveraging existing services to enhance implementation of the DRS programme. Intervention feasibility in primary care will be evaluated in a randomised cluster pilot trial.

Awareness of ocular diagnosis, transportation means, and barriers to ophthalmology follow-up in the Philadelphia Telemedicine Glaucoma Detection and Follow-up Study

Purpose: The purpose of this study was to assess factors affecting follow-up eye care in participants enrolled in the Philadelphia Telemedicine Glaucoma Detection and Follow-up Study, such as awareness of ocular diagnosis, availability of transportation methods, and reasons for missing eye care appointments. Methods: The sample included 172 participants who were randomized to the intervention group and contacted by the social worker. Results: A total of 155 participants completed the assessment form, which was used as an instrument to assess factors affecting adherence to follow-up eye care. The main reasons for missing eye exam appointments were feeling ill (38.1%, n = 59) and forgetting the appointment (34.2%, n = 53). In addition, 45 (29.2%) participants were unaware of or did not comprehend the severity of their ocular diagnosis. Common methods of transportation included public transportation (31.6%, n = 49), driving (29.7%, n = 46), and being driven (27.7%, n = 43) to their appointment. Conclusion: These results suggest that individuals in need of eye care may benefit from additional assistance of a social worker regarding ongoing eye exam appointment reminders and in-depth explanation of their ocular diagnosis.

Improved Outcomes in Patients with Retinal Detachment after Implementation of a Silicone Oil Registry and Phone Call Reminder System

PURPOSE

This retrospective study was performed to assess the clinical impact in reducing silicone oil (SO)-related complications such as keratopathy of a registry and appointment reminder system for patients with complicated retinal detachment (RD) who underwent pars plana vitrectomy (PPV) with SO tamponade.

DESIGN

Retrospective cohort study.

PARTICIPANTS

A total of 87 eyes of 87 patients who received SO tamponade were included.

METHODS

The study was carried out at Zuckerberg San Francisco General Hospital and Trauma Center (ZSFG). Patients were divided into those who received SO before (control group, n = 48) or after (treatment group, n = 39) implementation of an SO registry and patient reminder system in 2014. Patient records were reviewed to identify clinical characteristics and outcomes.

MAIN OUTCOME MEASURES

The primary outcome measure was the difference in the rate of loss to follow-up before versus after the implementation of the registry and reminder system. Secondary outcomes were the duration of SO tamponade, keratopathy rate, and intraocular pressure (IOP) at the last visit before SO removal.

RESULTS

Forty-eight patients were included in the control group, and 39 patients were included in the treatment group. The number of patients lost to follow-up was 23 (47.9%) in the control group versus 6 (15.4%) in the treatment group (P = 0.0015). The mean duration before SO removal was 79.6±91.7 weeks in the control group and 36.3±31.5 weeks in the treatment group (mean±standard deviation [SD]) (P = 0.015). Keratopathy developed in 33.3% of patients in the control group and 12.8% of patients in the treatment group (P = 0.0425). Mean IOP at the last visit before SO removal was 13.0±5.2 mmHg (mean±SD) in the control group and 13.3±7 mmHg (mean±SD) in the treatment group (P > 0.05).

CONCLUSIONS

A phone call appointment reminder system for patients with complicated RD who underwent PPV and SO tamponade reduced the rate of loss to follow-up and the duration of SO tamponade, correlating with a reduction in the rate of keratopathy.

What works to increase attendance for diabetic retinopathy screening? An evidence synthesis and economic analysis

BACKGROUND

Diabetic retinopathy screening (DRS) is effective but uptake is suboptimal.

OBJECTIVES

To determine the effectiveness of quality improvement (QI) interventions for DRS attendance; describe the interventions in terms of QI components and behaviour change techniques (BCTs); identify theoretical determinants of attendance; investigate coherence between BCTs identified in interventions and determinants of attendance; and determine the cost-effectiveness of QI components and BCTs for improving DRS.

DATA SOURCES AND REVIEW METHODS

Phase 1 - systematic review of randomised controlled trials (RCTs) evaluating interventions to increase DRS attendance (The Cochrane Library, MEDLINE, EMBASE and trials registers to February 2017) and coding intervention content to classify QI components and BCTs. Phase 2 - review of studies reporting factors influencing attendance, coded to theoretical domains (MEDLINE, EMBASE, PsycINFO and sources of grey literature to March 2016). Phase 3 - mapping BCTs (phase 1) to theoretical domains (phase 2) and an economic evaluation to determine the cost-effectiveness of BCTs or QI components.

RESULTS

Phase 1 - 7277 studies were screened, of which 66 RCTs were included in the review. Interventions were multifaceted and targeted patients, health-care professionals (HCPs) or health-care systems. Overall, interventions increased DRS attendance by 12% [risk difference (RD) 0.12, 95% confidence interval (CI) 0.10 to 0.14] compared with usual care, with substantial heterogeneity in effect size. Both DRS-targeted and general QI interventions were effective, particularly when baseline attendance levels were low. All commonly used QI components and BCTs were associated with significant improvements, particularly in those with poor attendance. Higher effect estimates were observed in subgroup analyses for the BCTs of 'goal setting (outcome, i.e. consequences)' (RD 0.26, 95% CI 0.16 to 0.36) and 'feedback on outcomes (consequences) of behaviour' (RD 0.22, 95% CI 0.15 to 0.29) in interventions targeting patients and of 'restructuring the social environment' (RD 0.19, 95% CI 0.12 to 0.26) and 'credible source' (RD 0.16, 95% CI 0.08 to 0.24) in interventions targeting HCPs. Phase 2 - 3457 studies were screened, of which 65 non-randomised studies were included in the review. The following theoretical domains were likely to influence attendance: 'environmental context and resources', 'social influences', 'knowledge', 'memory, attention and decision processes', 'beliefs about consequences' and 'emotions'. Phase 3 - mapping identified that interventions included BCTs targeting important barriers to/enablers of DRS attendance. However, BCTs targeting emotional factors around DRS were under-represented. QI components were unlikely to be cost-effective whereas BCTs with a high probability (≥ 0.975) of being cost-effective at a societal willingness-to-pay threshold of £20,000 per QALY included 'goal-setting (outcome)', 'feedback on outcomes of behaviour', 'social support' and 'information about health consequences'. Cost-effectiveness increased when DRS attendance was lower and with longer screening intervals.

LIMITATIONS

Quality improvement/BCT coding was dependent on descriptions of intervention content in primary sources; methods for the identification of coherence of BCTs require improvement.

CONCLUSIONS

Randomised controlled trial evidence indicates that QI interventions incorporating specific BCT components are associated with meaningful improvements in DRS attendance compared with usual care. Interventions generally used appropriate BCTs that target important barriers to screening attendance, with a high probability of being cost-effective. Research is needed to optimise BCTs or BCT combinations that seek to improve DRS attendance at an acceptable cost. BCTs targeting emotional factors represent a missed opportunity to improve attendance and should be tested in future studies.

STUDY REGISTRATION

This study is registered as PROSPERO CRD42016044157 and PROSPERO CRD42016032990.

FUNDING

The National Institute for Health Research Health Technology Assessment programme.

Eye Care Utilization Among Insured People With Diabetes in the U.S., 2010-2014

OBJECTIVE

Diabetic retinopathy (DR) is the leading cause of blindness among working-age adults, and although screening with eye exams is effective, screening rates are low. We evaluated eye exam visits over a 5-year period in a large population of insured patients 10-64 years of age with diabetes.

RESEARCH DESIGN AND METHODS

We used claims data from IBM Watson Health to identify patients with diabetes and continuous insurance coverage from 2010 to 2014. Diabetes and DR were defined using ICD-9 Clinical Modification codes. We calculated eye exam visit frequency by diabetes type over a 5-year period and estimated period prevalence and cumulative incidence of DR among those receiving an eye exam.

RESULTS

Among the 298,383 insured patients with type 2 diabetes and no diagnosed DR, almost half had no eye exam visits over the 5-year period and only 15.3% met the American Diabetes Association (ADA) recommendations for annual or biennial eye exams. For the 2,949 patients with type 1 diabetes, one-third had no eye exam visits and 26.3% met ADA recommendations. The 5-year period prevalence and cumulative incidence of DR were 24.4% and 15.8%, respectively, for patients with type 2 diabetes and 54.0% and 33.4% for patients with type 1 diabetes.

CONCLUSIONS

The frequency of eye exams was alarmingly low, adding to the abundant literature that systemic changes in health care may be needed to detect and prevent vision-threatening eye disease among people with diabetes.

Factors Associated with Non-compliance for Diabetic Retinopathy Follow-up in an Urban Safety-Net Hospital

PURPOSE

Diabetic retinopathy (DR) is the leading cause of preventable blindness in working-aged adults, and compliance in ophthalmic follow-up appointments is critical to prevent vision loss. However, barriers to follow-up care have not been well studied, especially in socio-economically disadvantaged groups. We investigated the risk factors for non-compliance to DR follow-up appointments in a safety-net county hospital.

METHODS

Two hundred and nine patients who were treated for DR at the Zuckerberg San Francisco General Hospital retina clinic between 1 July 2015 and 30 January 2016 were enrolled in the study. Multivariate logistic regression analysis of demographic and medical information was used to determine independent risk factors for non-compliance to DR follow-up appointments.

RESULTS

The mean patient age was 58 years. Sixty-three percent (132/209) of patients were male; the mean haemoglobin A1c level was 8.5 (SD 0.14). Forty-six percent (97/209) of patients attended <80% of their DR follow-up appoinments. Independent risk factors for non-compliance after multivariate logistic regression analysis were diabetic foot involvement [OR: 2.40, 95% CI: (1.04-5.55)] and foot/kidney involvement [OR: 3.79 (1.35-10.5)], history of major depressive disorder (MDD) [OR: 2.11 (1.05-4.26), and having Medi-Cal [OR: 5.01 (2.00-12.5)] or SF Health insurance [OR: 6.79 (2.14-21.5)].

CONCLUSIONS AND RELEVANCE

In conclusion, this is the first study to identify diabetic end organ damage and MDD as independent risk factors for non-compliance in DR follow-up appointments. It is important that health care providers identify these patient subsets and increase efforts to more deliberately encourage follow-up in these high-risk patient groups for DR.

Interventions to increase attendance for diabetic retinopathy screening

BACKGROUND

Despite evidence supporting the effectiveness of diabetic retinopathy screening (DRS) in reducing the risk of sight loss, attendance for screening is consistently below recommended levels.

OBJECTIVES

The primary objective of the review was to assess the effectiveness of quality improvement (QI) interventions that seek to increase attendance for DRS in people with type 1 and type 2 diabetes.Secondary objectives were:To use validated taxonomies of QI intervention strategies and behaviour change techniques (BCTs) to code the description of interventions in the included studies and determine whether interventions that include particular QI strategies or component BCTs are more effective in increasing screening attendance;To explore heterogeneity in effect size within and between studies to identify potential explanatory factors for variability in effect size;To explore differential effects in subgroups to provide information on how equity of screening attendance could be improved;To critically appraise and summarise current evidence on the resource use, costs and cost effectiveness.

SEARCH METHODS

We searched the Cochrane Library, MEDLINE, Embase, PsycINFO, Web of Science, ProQuest Family Health, OpenGrey, the ISRCTN, ClinicalTrials.gov, and the WHO ICTRP to identify randomised controlled trials (RCTs) that were designed to improve attendance for DRS or were evaluating general quality improvement (QI) strategies for diabetes care and reported the effect of the intervention on DRS attendance. We searched the resources on 13 February 2017. We did not use any date or language restrictions in the searches.

SELECTION CRITERIA

We included RCTs that compared any QI intervention to usual care or a more intensive (stepped) intervention versus a less intensive intervention.

DATA COLLECTION AND ANALYSIS

We coded the QI strategy using a modification of the taxonomy developed by Cochrane Effective Practice and Organisation of Care (EPOC) and BCTs using the BCT Taxonomy version 1 (BCTTv1). We used Place of residence, Race/ethnicity/culture/language, Occupation, Gender/sex, Religion, Education, Socioeconomic status, and Social capital (PROGRESS) elements to describe the characteristics of participants in the included studies that could have an impact on equity of access to health services.Two review authors independently extracted data. One review author entered the data into Review Manager 5 and a second review author checked them. Two review authors independently assessed risks of bias in the included studies and extracted data. We rated certainty of evidence using GRADE.

MAIN RESULTS

We included 66 RCTs conducted predominantly (62%) in the USA. Overall we judged the trials to be at low or unclear risk of bias. QI strategies were multifaceted and targeted patients, healthcare professionals or healthcare systems. Fifty-six studies (329,164 participants) compared intervention versus usual care (median duration of follow-up 12 months). Overall, DRS attendance increased by 12% (risk difference (RD) 0.12, 95% confidence interval (CI) 0.10 to 0.14; low-certainty evidence) compared with usual care, with substantial heterogeneity in effect size. Both DRS-targeted (RD 0.17, 95% CI 0.11 to 0.22) and general QI interventions (RD 0.12, 95% CI 0.09 to 0.15) were effective, particularly where baseline DRS attendance was low. All BCT combinations were associated with significant improvements, particularly in those with poor attendance. We found higher effect estimates in subgroup analyses for the BCTs 'goal setting (outcome)' (RD 0.26, 95% CI 0.16 to 0.36) and 'feedback on outcomes of behaviour' (RD 0.22, 95% CI 0.15 to 0.29) in interventions targeting patients, and 'restructuring the social environment' (RD 0.19, 95% CI 0.12 to 0.26) and 'credible source' (RD 0.16, 95% CI 0.08 to 0.24) in interventions targeting healthcare professionals.Ten studies (23,715 participants) compared a more intensive (stepped) intervention versus a less intensive intervention. In these studies DRS attendance increased by 5% (RD 0.05, 95% CI 0.02 to 0.09; moderate-certainty evidence).Fourteen studies reporting any QI intervention compared to usual care included economic outcomes. However, only five of these were full economic evaluations. Overall, we found that there is insufficient evidence to draw robust conclusions about the relative cost effectiveness of the interventions compared to each other or against usual care.With the exception of gender and ethnicity, the characteristics of participants were poorly described in terms of PROGRESS elements. Seventeen studies (25.8%) were conducted in disadvantaged populations. No studies were carried out in low- or middle-income countries.

AUTHORS' CONCLUSIONS

The results of this review provide evidence that QI interventions targeting patients, healthcare professionals or the healthcare system are associated with meaningful improvements in DRS attendance compared to usual care. There was no statistically significant difference between interventions specifically aimed at DRS and those which were part of a general QI strategy for improving diabetes care. This is a significant finding, due to the additional benefits of general QI interventions in terms of improving glycaemic control, vascular risk management and screening for other microvascular complications. It is likely that further (but smaller) improvements in DRS attendance can also be achieved by increasing the intensity of a particular QI component or adding further components.

Effects of Face-to-Face and Telephone-Based Family-Oriented Education on Self-Care Behavior and Patient Outcomes in Type 2 Diabetes: A Randomized Controlled Trial

BACKGROUND

Education of patients and their families is the cornerstone of effective diabetes care. The present study aimed to compare the effects of a face-to-face and telephone-based family-oriented educational program on self-care behavior and patient outcomes in type 2 diabetes patients.

METHODS

In the present randomized controlled trial, 90 type 2 diabetes patients were randomly divided into three groups of 30 participants: a face-to-face education group, a telephone-based education group, and a control group. The educational program lasted for 3 months. Outcomes evaluated included self-care, fasting blood sugar, hemoglobin A1c, cholesterol, and triglyceride.

RESULTS

The overall self-care scores in the intervention groups were significantly higher than that in the control group (P = 0.0001). In addition, lipid profiles significantly improved in the interventions compared to the control (P < 0.05). Comparing the two interventions showed better results for the face-to-face group regarding dietary adherence and physical activity, but the latter group had comparable results in blood glucose monitoring, foot care, and cholesterol level.

CONCLUSIONS

This study shows the beneficiary effects of a family-oriented education on self-care and patient outcomes. It also shows the potential value of low-cost telephone technology in delivering effective diabetes care.

Diabetic Eye Screening: Knowledge and Perspectives from Providers and Patients

PURPOSE OF REVIEW

Diabetic retinopathy remains the leading cause of blindness among working-age US adults even though timely screening and treatment prevent 90% of blindness. We summarize current knowledge and perspectives to better understand why diabetic eye screening rates remain low and future directions towards preventing blindness from diabetes.

RECENT FINDINGS

Significant advancements in the past 10 years include primary care and patient-oriented interventions as well as the use of teleophthalmology. In England, diabetic eye disease is no longer the leading cause of certifiable blindness following the implementation of a national teleophthalmology program for diabetic retinopathy. Multiple workflow and systems-level barriers affect providers. Patient barriers include a limited understanding of screening and lack of access to care. Interventions have been developed, but new barriers exist towards sustaining their impact. More research is needed to identify and implement the best practices to increase diabetic eye screening rates long-term.

Lead time for appointment and the no-show rate in an ophthalmology clinic

Purpose

The purpose of this study was to determine if there is a correlation between the time in advance an appointment is scheduled and the no-show rate.

Methods

This was a cross-sectional study conducted in an outpatient ophthalmology clinic. Appointment data were analyzed for 51,529 ophthalmology appointments in the computerized scheduling database during a 12-month period.

Results

The average no-show rate was 21.7% and 6.6% for resident- and faculty-clinic, respectively (P<0.001). The no-show rate increased, and the likelihood an appointment would be kept decreased as the time in advance an appointment was scheduled increased. With a lead time for appointment of 0–2 weeks, the average no-show rate was 9.1% and 2.4% for the resident- and faculty-clinic, respectively. With a lead time for appointment of 6 months, the average no-show rate increased to 38.3% (P<0.001) and 6.9% (P<0.001) for the resident-and faculty-clinic, respectively. A predicted no-show rate model showed approximately 2% reduction of the no-show rate for 10% increase of the proportion of patients scheduled within 2 weeks, potentially reducing the no-show rate by nearly 60% with all appointments scheduled 0–2 weeks in advance.

Conclusion

Clinic no-show rate increased as appointment lead time increased. Predictive models suggest that the implementation of a short-term appointment scheduling strategy may reduce the overall clinic no-show rate, particularly in clinic populations with a high no-show rate.