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Eye Care Quality and Accessibility Improvement in the Community (EQUALITY) for adults at risk for glaucoma: study rationale and design

Abstract

Background

Primary open angle glaucoma is a chronic, progressive eye disease that is the leading cause of blindness among African Americans. Glaucoma progresses more rapidly and appears about 10 years earlier in African Americans as compared to whites. African Americans are also less likely to receive comprehensive eye care when glaucoma could be detected before irreversible blindness. Screening and follow-up protocols for managing glaucoma recommended by eye-care professional organizations are often not followed by primary eye-care providers, both ophthalmologists and optometrists. There is a pressing need to improve both the accessibility and quality of glaucoma care for African Americans. Telemedicine may be an effective solution for improving management and diagnosis of glaucoma because it depends on ocular imaging and tests that can be electronically transmitted to remote reading centers where tertiary care specialists can examine the results. We describe the Eye Care Quality and Accessibility Improvement in the Community project (EQUALITY), set to evaluate a teleglaucoma program deployed in retail-based primary eye care practices serving communities with a large percentage of African Americans.

Methods/Design

We conducted an observational, 1-year prospective study based in two Walmart Vision Centers in Alabama staffed by primary care optometrists. EQUALITY focuses on new or existing adult patients who are at-risk for glaucoma or already diagnosed with glaucoma. Patients receive dilated comprehensive examinations and diagnostic testing for glaucoma, followed by the optometrist’s diagnosis and a preliminary management plan. Results are transmitted to a glaucoma reading center where ophthalmologists who completed fellowship training in glaucoma review results and provide feedback to the optometrist, who manages the care of the patient. Patients also receive eye health education about glaucoma and comprehensive eye care. Research questions include diagnostic and management agreement between providers, the impact of eye health education on patients’ knowledge and adherence to follow-up and medication, patient satisfaction, program cost-effectiveness, and EQUALITY’s impact on Walmart pharmacy prescription rates.

Discussion

As eye-care delivery systems in the US strive to improve quality while reducing costs, telemedicine programs including teleglaucoma initiatives such as EQUALITY could contribute toward reaching this goal, particularly among underserved populations at-risk for chronic blinding diseases.

Background

Primary open angle glaucoma (POAG) is a chronic, progressive optic neuropathy characterized by changes in the optic disk, thinning of the retinal nerve fiber layer, and gradual loss of vision beginning in the peripheral field and extending to central vision in advanced disease. The prevalence of POAG increases dramatically with age, affecting more than 1.8 % of the US population over 40 but increasing to 23.2 % among African Americans and 9.4 % among Whites over the age of 75 [1]. POAG is 4–5 times higher in African Americans as compared to Americans of European descent [2, 3]. In addition, the disease progresses more rapidly and appears about 10 years earlier in African Americans [410]. Given the rapid expected growth in older populations, the number of POAG cases will increase in the US by 50 % by 2020, directly effecting 3.36 million lives [1]. Given projected Medicare shortfalls and potential reductions in Medicaid coverage in the US [11], developing high-quality, cost-effective access to eye care for these individuals may become increasingly important.

The personal burden of POAG and accompanying vision impairment faced by individuals with this condition is significant and has been widely documented. Adults with POAG experience reductions in health-related quality of life and mobility problems such as ambulatory and driving difficulties [1218]. Persons with vision impairment, regardless of etiology, are at increased risk for depression, social disengagement, employment challenges, and problems accessing health care [1923]. Mortality risk is increased for persons with vision impairment [24, 25], including for those with POAG [26, 27]. Cost-effective benefits to quality of life have been reported for early detection and treatment of POAG [2832]. Thus, public health efforts to implement interventions for early detection and effective follow-up management of POAG are likely to improve patients’ health and well-being.

Older African Americans are less likely to receive routine, comprehensive eye care as compared to whites, during which POAG could be detected and treated in a timely fashion [3335], and they tend to receive fewer health care services [36]. This lack of care may contribute to their higher rates of POAG and associated vision impairment. When this population enters treatment, their POAG is often in more advanced forms accompanied by irreversible vision impairment, and thus more difficult to treat, as compared to whites. Further, socioeconomic disparities experienced by the African American population may limit their ability to receive follow-up eye care after diagnosis—a crucial factor for slowing disease progression.

Research has demonstrated that inadequate knowledge and awareness about the importance of eye care and strategies for minimizing barriers to care contribute to African Americans’ compliance problems with eye disease management plans and their low eye care utilization rate [37, 38, 23, 3941]. These factors include inadequate knowledge about basic symptoms, risk factors and treatments for commons eye diseases and conditions including glaucoma; lack of awareness about the importance of routine preventive care; cost for exams, co-pays, and spectacles; transportation challenges; and communication and trust issues with the doctor and staff. Over the past decade progress has been made in developing eye health education materials and interventions that have efficacy in improving their eye health knowledge and in facilitating eye care seeking behaviors. These eye health education programs are typically focused on improving knowledge and attitudes about eye health, disease and prevention, and communicating strategies to remove the perceived barriers to care [4245]. Two clinic-based studies involving inner-city African-Americans with diabetes who were not receiving annual eye care showed that the dilated fundus exam rate increased after distribution of educational material and telephone follow-up emphasizing the importance of annual eye care [4648]. A multimedia campaign in California combined with patient interaction increased the use of eye care services [49]. Here in Alabama we have shown that an eye health educational presentation whose content was targeted specifically for African Americans successfully imparted information about the importance of annual preventive care, which was retained 3–6 months later [44, 40, 50]. Thus, there is evidence that eye health educational interventions can have positive impacts on knowledge, attitudes, and beliefs about eye care and on eye health behaviors.

There are other factors that contribute to later diagnosis of POAG and under-utilization of eye care in African Americans. The number of patients requiring ophthalmic care is expected to increase by 18.1 % between 2008 and 2015, whereas the number of US ophthalmologists is expected to grow only 0.67 % in the same time period [51, 52]. The Affordable Care Act in the US was designed to increase the number of Americans with health insurance, reducing some financial barriers to glaucoma detection and treatment. However, this may also increase the demand for scarce clinical resources. Furthermore, ophthalmology practices are rarely located in rural counties of southern states where African Americans represent the majority of the population [53], thus creating further problems related to accessing ophthalmological care, including care provided by fellowship-trained glaucoma specialists.

There is considerable evidence [5460] that the recommended screening and follow-up protocols for managing glaucoma from the American Academy of Ophthalmology Preferred Practice Patterns (PPP) [61], which are very similar to the practice guidelines recommended by the American Optometric Association [62], are often not followed by primary eye-care providers, including both ophthalmologists and optometrists. This situation is unfortunate because optimal management of open angle glaucoma depends upon careful interval examination and documentation of ophthalmic findings with specific emphasis on monitoring the structure and function of the optic nerve in order to diagnosis the condition or to detect progressive injury [63]. Chart review studies in the US [64, 56, 58] document deficits in current care delivery compared to the PPP. While intraocular pressure (IOP) is frequently recorded, the primary areas of weakness are in the performance and/or documentation of gonioscopy, the documentation of optic nerve appearance, and the frequency of visual field testing [65, 56, 58, 64]. Although patients overall are likely to be scheduled for follow-up within PPP-recommended intervals, patients with unstable POAG, who are at higher risk of visual loss compared to those with stable POAG, are more likely to fall outside these intervals [56]. Administrative database studies in the US confirm these findings showing a large variation in practice patterns, with frequent deficiencies in gonioscopy [54, 55], recording of optic nerve structure [56, 58], visual field testing [56, 66] and frequency of follow-up visits [57]. Of note, African Americans were less likely to receive appropriate pre-operative testing as compared to whites [66]. Thus the literature strongly supports the existence of deficiencies in glaucoma management likely to dramatically reduce the ability of clinicians to detect potentially blinding progressive glaucomatous injury. It is likely that the problem is significantly worse in at-risk minority populations, such as African American individuals. Challenges in the accessibility and quality of glaucoma care have not been adequately addressed in public health initiatives and is a critical need if more effective healthcare delivery programs are to be developed in underserved settings.

Taken together, these factors suggest the consideration of an alternative model of glaucoma care in US communities with high percentages of persons at-risk for POAG, including African Americans. The use of telemedicine could conceivably be a key part of such a model. Telemedicine refers to the electronic communication of medical information from one site to another to improve a patient’s clinical health status [67]. It has been placed into practice in many healthcare fields and can increase patient satisfaction and accessibility to specialty care. By utilizing current technologies, telemedicine transmits patient data from a primary eye care clinic to another remote site for review by physicians specializing in the conditions being assessed (in the case of “teleglaucoma” programs, ophthalmologists fellowship-trained in glaucoma). The patient does not need to be seen in person by the specialist, thus making the evidence-based standards of specialty care more accessible to patients living in geographically remote areas with no specialty practice or to those with transportation challenges. The vast majority of the literature on telemedicine in ophthalmology is focused on diabetic retinopathy screening since there have been great strides in the development of non-invasive retinal imaging devices whose results can be electronically transmitted. These tests provide high levels of diagnostic reliability and ease of training of testing personnel [6870]. Acceptance of telemedicine for diabetic retinopathy has increased steadily around the world over the past 10 years stemming from its proven efficacy and cost-effectiveness [7174]. The detection and management of glaucoma also heavily relies on ocular imaging and other specialized tests whose results can be electronically transmitted. However, teleglaucoma programs have lagged somewhat behind diabetic retinopathy telemedicine programs in their development and implementation. In the past few years, there have been a handful of articles describing pilot teleglaucoma programs in various parts of the world (e.g., US, UK, Canada, Finland, Kenya, Greece, Australia) [7484]. This literature has largely focused on emphasizing the public health need for telemedicine services for glaucoma in rural and outlying areas, demonstrating feasibility, and the importance of multi-disciplinary collaboration among types of providers. In addition, previous attempts to use telemedicine in glaucoma care primarily utilized transmission of optic disc photos, which can give rise to problems such as inadequate quality of transmitted stereoscopic images, variations among glaucoma specialists’ subjective evaluations of images, and the high false-positive rate of some optic nerve imaging modalities [85, 78, 81, 8693].

Owing to these considerations, we designed and implemented a glaucoma detection and management program consisting of a community-based teleglaucoma model particularly targeted at the at-risk African American population ≥40 years old. The program is entitled Eye Care Quality and Accessibility Improvement in the Community (EQUALITY), and is described in detail in Methods. In order to evaluate this program, the following questions will be addressed: (1) What is the impact of patient education about glaucoma and the importance of routine comprehensive eye care on a patients’ knowledge about glaucoma-associated diagnoses (GAD), including glaucoma, glaucoma suspect, and ocular hypertension, adherence with recommended follow-up examinations for GAD, and adherence to filling medication prescriptions for GAD? (2) What is the level of patient satisfaction with teleglaucoma care based in the clinic in their community? (3) To what extent does the primary eye care provider follow the PPP in managing the care of those at-risk for glaucoma and those already diagnosed with glaucoma? (4) What is the extent of diagnostic agreement between the primary eye care provider and the ophthalmologist who has completed specialty fellowship training in glaucoma? (5) What is the cost-effectiveness of this telemedicine program compared to usual in-person care of a glaucoma patient by a glaucoma specialist? (6) What is the impact of the EQUALITY program in the primary eye care clinic in a large, national retailer on the rate of GAD prescriptions being filled in their pharmacy, as compared to the rate in a large national retailer with a primary care eye clinic where the EQUALITY program was not administered?

Methods

The study design is an observational prospective examination of a model of glaucoma detection and management. All patients receive the same model of care. Patients at-risk for POAG (per criteria described later) are seen for routine dilated comprehensive eye care by primary eye-care providers, in this case optometrists, working within retailer-based clinics in two predominantly African American communities in Alabama (one urban/suburban and one rural). A telemedicine process is implemented whereby the results of the comprehensive examination as well as optic nerve imaging and functional testing are electronically transmitted to a server at a remote tertiary care glaucoma center staffed by an ophthalmologist who has completed fellowship training in glaucoma (hereafter called the glaucoma specialist). The results of the examination, including imaging and other procedures, are reviewed by the glaucoma specialist, who provides feedback to the optometrist, who then recommends a treatment plan to the patient. During the clinic visit, a trained technician delivers evidence-based eye health education and discusses the importance of routine eye care and adherence with doctor’s recommendations to enhance sight preservation. The advantages of this approach are three-fold in terms of reaching the long-term goal of improving the quality of and access to eye care for persons at risk for POAG. First, it allows for the remote application of specialist-level clinical evaluation to primary eye care clinics providing care to socioeconomically disadvantaged individuals who have significant barriers (e.g., travel distance) to receiving higher-level evaluations. Second, it provides eye health education messages specifically targeted to this at-risk population. Third, this telemedicine program can potentially be scaled and replicated nationally given the ubiquity of large, national retailers with primary care vision centers in the US.

The Institutional Review Board of the University of Alabama at Birmingham (UAB) reviewed and approved the study’s protocol. The geographical setting for the study consists of two regions in Alabama with a high percentage of African Americans. One setting is Homewood, Alabama, a community within the Birmingham, Alabama, metropolitan area, the largest city in the state. Birmingham’s population is approximately 73 % African American. The second setting is Tuscaloosa, Alabama, the county seat of Tuscaloosa County. Tuscaloosa County is located in west Alabama at the edge of Alabama’s Black Belt region, named for its rich black soil. The Black Belt is a rural area with one of the highest poverty rates in the U.S. and has been characterized as “Alabama’s Third World” [94]. It has among the highest concentrations of African American residents of any rural region of the country, representing over 50 % of the population. In addition to widespread poverty, the area is characterized by inadequate education, transportation, and community resources, as well as a shortage of healthcare providers.

The study settings are two primary eye care clinics in Homewood and Tuscaloosa, Alabama. The clinics are Walmart Vision Centers, located next to a large general retailer–a Walmart Supercenter. Each clinic is independently owned and operated by an optometrist who has an established practice at the Vision Center (10–15 years duration) with high patient volume (4000 patient visits per year in Homewood clinic and 7000 patient visits per for Tuscaloosa clinic). Fifty percent or more of patients seen in these clinics are African American. We selected Walmart Vision Centers as our primary eye care clinics for several reasons. In these communities, Walmart, a general retailer, is popular with community residents seeking groceries, household items, clothing, prescription and over-the-counter medications, and car care. Thus, this retailer has a high level of familiarity to residents of the region. Furthermore, Walmart has an extensive network of Vision Care Centers throughout the US, providing an infrastructure to replicate and scale up a telemedicine network. If the efficacy of the EQUALITY program is established, the intervention would be suitable for any large general retailer with primary eye care clinics.

Participants in the study are new or existing patients presenting for appointments at the clinic who meet any of the following criteria: (1) African Americans ≥40 years old, (2) Whites ≥50 years old, (3) persons of any age or race/ethnicity with diabetes, (4) persons of any age or race/ethnicity with a glaucoma associated diagnosis (GAD) (glaucoma suspect (GS), ocular hypertension (OHT), and POAG), (5) persons with a self-reported family history of POAG. These criteria were selected because they are established risk factors for glaucoma [61]. The enrollment period is from May 2013 through May 2014 for the Tuscaloosa, Alabama, Vision Center and May 2013 through July 2014 for the Homewood, Alabama, Vision Center. Patients are seen in the clinic Monday through Friday.

All patients who are eligible and enroll in the study receive a comprehensive eye examination (CEE) by the optometrist after their arrival at the clinic. The CEE consists of collection of demographic and other information (birthdate, gender, race/ethnicity, address of residence, health insurance status), patient history (chief complaint, history of presenting illness, ocular history, medical history, family and social history), blood pressure, ocular examination (visual acuity with walk-in and best correction, refraction, color vision, applanation tonometry, pachymetry, undilated slit lamp anterior segment examination, undilated gonioscopy, dilated fundus examination). After the CEE, the optometrist determines the patient’s ocular diagnosis and whether the patient has normal ocular results, has a GAD, or has other ocular disease. Table 1 provides information on the definition of normal and GADs [95]. All data from the CEE are placed in the electronic database viewable at the clinic site by the optometrist and by the glaucoma specialist at the UAB Glaucoma Service; this database also contains all subsequent structural and functional testing as described below. The protocols for the process evaluation for each of the possible diagnostic outcomes are outlined below.

Table 1 Case definitions for glaucoma and glaucomatous conditions [95]

New clinic patients

Patients diagnosed as normal by the optometrist based on the CEE

Those diagnosed as normal undergo spectral domain optical coherence tomography in both eyes (SDOCT) (Cirrus, Carl Zeiss Meditec,®™ Dublin, CA, USA) (Fig. 1). If the results of the Cirrus SDOCT are normal in both eyes as indicated by a normal retinal nerve fiber layer free of defects, the patient is scheduled for another CEE in 1 year. The results of the Cirrus SDOCT, including the images as well as results from the CEE, are added to the database for remote viewing by the glaucoma specialist at the UAB Glaucoma Service. The patient is then invited to participate in a sub-study using the Spectralis SDOCT (Heidelberg Engineering, Heidelberg, Germany). This sub-study was designed to explore the sensitivity and specificity of a new image analysis approach that has shown promise as a screening method for glaucoma [96].

Fig. 1
figure 1

Baseline flowchart for at-risk patients who do not have a GAD diagnosis

For patients diagnosed as normal on the CEE but abnormal on the Cirrus SDOCT without a definable cause other than a presumptive GAD, the patient’s diagnosis is converted to GS. Optic nerve head stereoscopic photos are obtained and a follow-up appointment is scheduled within 1 month. This follow-up examination is scheduled in the morning if the initial exam was in the afternoon, and vice-versa, in order to capture diurnal intraocular pressure variations. Standard automated perimetry using the Swedish interactive thresholding algorithm (SITA) (Carl Zeiss Meditec, Dublin, CA, USA) is performed at this visit.

Patients diagnosed with a GAD by the optometrist based on the CEE

At the initial exam these patients undergo optic nerve head stereoscopic photography. Either Standard SITA 24-2 perimetry or a Cirrus SDOCT is performed at the initial visit, depending on the optometrist’s decision. The patient is also invited to participate in the Spectralis SDOCT substudy. A follow-up examination is scheduled within 1 month in order to complete the functional and structural assessment of the optic nerve with whichever test, either the Standard SITA 24-2 perimetry or a Cirrus SDOCT, was not completed at the initial visit. This follow-up examination is scheduled in the morning if the initial exam was in the afternoon, and vice-versa.

Patients diagnosed with other ocular disease by the optometrist based on the CEE

These patients are managed by the optometrist as he/she would under usual clinical care.

Existing clinic patients with a GAD diagnosis per the optometrist

This section pertains to patients who have previously been to the clinic and who have an established GAD diagnosis from the optometrist (Fig. 2). If a dilated fundus exam is scheduled for the patient’s visit, then optic nerve head stereoscopic photography is performed. In addition, the patient is invited to participate in the Spectralis SDOCT substudy. A follow-up examination is scheduled per the optometrist’s recommendation for that patient. The results of these tests are loaded into the electronic database for viewing by the glaucoma specialist located at the UAB Glaucoma Service.

Fig. 2
figure 2

Baseline flowchart for patients who already have a GAD diagnosis

If the visual field and/or SDOCT examination is scheduled for this visit (instead of a dilated fundus examination), then SITA 24-2 standard perimetry and Cirrus SDOCT is performed, if within the billable timeframe. In the US, optic nerve testing such as perimetry, photography, and SDOCT imaging is covered by a patient’s private insurance in general only once a year for each test. If the tests are repeated within a 1-year time period, the patient is often responsible for paying for the cost of the test. Since the goals of this telemedicine program included allowing the optometrist to practice according to his/her usual model of care as well as limiting the patient’s financial burden of glaucoma care, optic nerve testing of existing GAD patients in this study occurred at irregular time periods within the study period. A follow-up examination is scheduled per the optometrist’s recommendation for that patient, generally between 3 and 6 months depending on the severity of the GAD. The results of these tests are loaded into the electronic database for viewing by the glaucoma specialist at the UAB Glaucoma Service.

Glaucoma reading center

The Glaucoma Reading Center is based at the Glaucoma Service in the Callahan Eye Hospital Clinic of the Department of Ophthalmology at UAB. The database containing the results of the CEE and all additional optic nerve head imaging and functional testing is accessed by a glaucoma specialist in the UAB Glaucoma Service. The glaucoma specialist is initially masked to the optometrist’s diagnosis and treatment plan when electronically viewing the optic nerve head imaging and functional testing as well as CEE for each patient. The glaucoma specialist then enters his/her own diagnostic impressions with respect to GAD and makes recommendations for what treatment (if any) is needed along with frequency of follow-up and interval testing. These recommendations are based within the guidelines of the PPP of the American Academy of Ophthalmology and communicated to the optometrist. Once the glaucoma specialist enters a diagnosis and treatment plan, he/she is able to view the optometrist’s diagnosis and treatment plan in the database. Any disagreement in diagnosis or treatment plan is adjudicated via telephone conversation between the glaucoma specialist in the UAB Glaucoma Service and the optometrist, as occurs with standard consultation referrals. The final treatment plan is communicated to the patient by the optometrist, who continues to manage the patient’s disease within the Vision Center clinic. However, patients deemed by the glaucoma specialist or optometrist’s clinical judgments to have advanced disease in either eye, to be in need of surgical or laser intervention, or to be diagnostically complex are referred to the UAB Glaucoma Service for an onsite evaluation and treatment. In cases of poor data quality (e.g., uninterpretable photos or low reliability indices on perimetry or SDOCT) inadequate to determine a definitive diagnosis, patients are contacted for repeat evaluation and diagnostic testing at the Vision Center, if deemed feasible and necessary based upon telephone communication between the optometrist and glaucoma specialist after joint review of the existing data.

With respect to evaluating the Cirrus SDOCT results at the Glaucoma Reading Center, the following protocol is followed by the glaucoma specialist: (1) Verify patient name, study identification number, and examination date. (2) Review the image quality including whether motion artifact is present, and then identify the signal strength on a scale of 1–10. Poor signal strength is ≤3, moderate signal strength is 4–6, and good signal strength is >7. (3) Review retinal nerve fiber layer (RNFL) deviation map for general rim contour and cup size and identify defects. (4) Review RNFL thickness plot to compare with deviation map. (5) Review extracted horizontal and vertical tomograms for artifacts such as posterior vitreous detachment and drusen. (6) Make a diagnosis, after reviewing the above measures, of Normal, Glaucoma, Suspect, Other/specify. The glaucoma specialist enters all the above judgments into the database.

With respect to evaluating the visual field results at the Glaucoma Reading Center, the following protocol is followed by the glaucoma specialist: (1) Verify patient name, study identification number, examination date and testing strategy (i.e., SITA 24-2 Standard). (2) Review the reliability indices including fixation losses and false positive errors with >33 % of any of the measures considered “unreliable.” (3) Review the pattern standard deviation for areas triggered at 5 % or less. (4) Review the Glaucoma Hemifield Test for deviation from normal limits. (5) Review the Visual Field Index (VFI) for a percentage less than 100 %. (6) Review the Mean Deviation (MD). (7) Make a diagnosis, after reviewing the above measures, of Normal, Glaucoma, Suspect, Other/specify. The ophthalmologist enters all the above judgments into the database.

The following protocol is followed by the glaucoma specialist at the Glaucoma Reading Center to evaluate the stereoscopic fundus photos: (1) Verify patient name, study identification number, and examination date. (2) Determine the image quality for clarity of the optic nerve head as good, moderate, or poor. (3) Examine the optic nerve head for general rim contour and cup size, and identify defects such as notching, rim thinning, or disc hemorrhages. (4) Examine the peripapillary retina for the presence, location and extent of retinal nerve fiber layer defects and beta-zone atrophy. (4) Review retinal vessels and retina for pathology. (5) Make a diagnosis, after reviewing the above measures, of Normal, Glaucoma, Suspect, Other/specify. The ophthalmologist enters all the above judgments into the database.

Questionnaire administration

The project coordinator administers a questionnaire while the patient is dilating for the CEE at the Vision Center, before the patient receives any results or diagnostic impressions from the optometrist. This questionnaire contains the following item domains (Table 2): (1) eye care utilization [97], (2) trouble seeing, (3) visual task difficulty [98], (4) accessibility/transportation [44], (5) review of chronic medical conditions [99], (6) attitudes about eye care [44], (7) knowledge about glaucoma [43], (8) cost [44], and (9) education completed. The questionnaire responses are not available to the optometrist at any time during the visit.

Table 2 Baseline questionnaire, before CEE and eye health education

Eye health education

The eye health education program administered in this project was specifically designed for the program’s purposes by authors CO, LAR, MB, NP, and CAG. The first education goal is directed at educating the Vision Center clinic staff about how to impart evidence-based information to their patients about GAD, since all patients in the program are at-risk for glaucoma. Staff education occurs before the start of the project. This training is accomplished through the Glaucoma Educator Training Course [100], a free online training program. The program is based on materials available through Prevent Blindness [101] and our previous eye health education program, InCHARGE [23, 44, 40, 50]. The EQUALITY education program provides training in what glaucoma is and how it is treated, persons at risk for glaucoma, how to discuss glaucoma with patients, and how to help patients overcome the barriers to care. The web-based course is followed by an online test to ensure that messages were successfully retained by the trainee. All Vision Center staff members are required to pass the online test, upon which they receive a certificate of completion from Prevent Blindness.

The other goal is to directly educate patients at risk for glaucoma using several approaches. The baseline questionnaire described above is administered before presentation of eye health education in order to ascertain changes in knowledge from before to after the educational information and clinic visit. (1) Videos for patients: Two short videos have been created presenting messages about the importance of routine dilated comprehensive eye examinations for persons who are at-risk for glaucoma. These videos are approximately 3 min long each and are shown to the patient by the project coordinator on an iPad while they are waiting for their pupils to dilate in preparation for the CEE. The videos are available at the Glaucoma Educator Course website [100]. (2) Package “inserts” on glaucoma: These are colorful and to-the-point brochures on who is at risk for glaucoma and the importance of routine eye examination for this at-risk population. The inserts are provided to patients at-risk for glaucoma after the videos are presented, and are also placed in the bags of purchases made by customers in the Walmart Optical Shop and the Walmart Pharmacy in an effort to educate the general public. (3) Posters: These posters (18 × 24 in.) contain material identical to the inserts. They are positioned in the Vision Center, the Walmart Optical Shop, and Walmart Pharmacy.

Telephone follow-up questionnaire

Approximately 2 to 4 weeks after a patient enters the project, we repeat the administration of some of the questionnaire items by telephone, and add some new items (Table 3). This telephone questionnaire allows for the evaluation of the impact of the EQUALITY program with respect to the following domains: (1) patient satisfaction, (2) other uses of the large retailer adjacent to the Vision Center on the day the patient had an appointment at the Vision Center, (3) accessibility/transportation, (4) eye care utilization and whether prescriptions from the optometrists were filled, (5) attitudes about eye care, (6) knowledge about glaucoma, and (7) cost. Calls are conducted by trained program staff in the UAB Department of Ophthalmology. Up to 10 attempts to contact each patient are made, ensuring that these calls are made at different times of the day in order to facilitate reaching the patient. All questionnaire responses are recorded in the project database, but the responses are not made available to the optometrists or ophthalmologists.

Table 3 Follow-up questionnaire administered by telephone 2–4 weeks after the enrollment visit

Pharmacy data

We are obtaining information on filled prescriptions for all medications prescribed for the treatment of GAD from the Walmart Pharmacies adjacent to the two Walmart Vision Centers. Prescription data will be obtained for the period of June 1, 2012 through August 2014; these dates include an approximate 12 month period before the implementation of the EQUALITY program, and then approximately 12–14 months during the EQUALITY program. We are interested in whether the presence of the EQUALITY program in the Vision Center increased the number of prescriptions for GAD filled in the pharmacy. As a control comparison, we are also obtaining the same type of prescription data from two Walmart Pharmacies adjacent to Walmart Vision Centers where the EQUALITY program was not administered. The prescription information will be obtained for the same time period as mentioned above. The control pharmacies are located in Walmart Supercenters in Bessemer, Alabama, and Fairfield, Alabama, communities with highly similar racial/ethnic and socioeconomic characteristics to the communities served by the Homewood and Tuscaloosa, Alabama Walmart Supercenters. The following pharmacy information will be obtained for medications that are prescribed by doctors for the treatment of glaucoma: patient name and address, date of birth, prescribing doctor, date prescribed, date filled, Walmart pharmacy location, prescription total price, payment by insurance (if applicable), and National Drug Code (NDC). We recognize that not all patients will fill their prescriptions from the optometrist at the Walmart pharmacy; however, many patients do, and thus prescription data could be an important variable to assess.

Evaluation of research questions

For each of the research questions, we describe the hypotheses to be evaluated, followed by an analytic plan.

  1. (1)

    What is the impact of patient education within study sites about GAD and the importance of routine comprehensive eye care on a patients’ knowledge about GAD and eye care and adherence with recommended follow-up examinations for GAD?

    Hypotheses: (a) Patients’ knowledge about GAD and the importance of routine comprehensive eye care as assessed by our questionnaire at baseline will improve after the EQUALITY program as assessed by the follow-up questionnaire 2–4 weeks after enrollment. (b) Greater improvement in knowledge is associated with greater adherence with (attendance at) follow-up eye examinations. (c) Greater improvement in knowledge is associated with improved adherence to getting GAD prescriptions filled for those who receive GAD prescriptions from the optometrist.

    Analytic plan: Changes in knowledge will be evaluated using statistical tests appropriate for matched samples, specifically McNemar’s test (or the Stuart-Maxwell test) and the paired t-test. Correlation coefficients will be used to evaluate the association between changes in knowledge and changes in compliance as well as their association with adherence to GAD prescriptions.

  2. (2)

    What is the level of patient satisfaction with the EQUALITY teleglaucoma program?

    Hypothesis: (a) Over 75 % of patients enrolled in the EQUALITY program will report being satisfied or very satisfied with their eye care at the Vision Center. (b) Patients with a more rural home location, lower socioeconomic status, lesser education and glaucoma knowledge will have higher rates of satisfactions.

    Analytic Plan: A one-sample test will be used to address hypothesis (a) while Pearson correlation coefficients and analysis of variance (or their non-parametric equivalents) will be used to address hypothesis (b).

  3. (3)

    To what extent does the primary care optometrist within the retail eye clinic follow the PPP in managing the care of those at-risk for glaucoma and those already diagnosed with POAG and to what extent do patients follow the PPP recommendations made by the eye care provider?

    Hypothesis: Adherence to PPP for POAG among retail-based primary eye care providers will be significantly lower than recommended guidelines. (a) Provider-related adherence will be lower than that recommended in the PPP guidelines at the monitored telemedicine sites. (b) Patient related factors (e.g. adherence with follow-up, agreeing to dilation) will be lower than that recommended in the PPP guidelines.

    Analytic Plan: One-sample tests suitable for the dependent variable being analyzed (e.g., continuous, categorical) will be used to compare observed to expected provider- and patient-related factors.

  4. (4)

    What is the extent of diagnostic agreement between the primary care optometrist and glaucoma specialist?

    Hypothesis: The EQUALITY program will be more effective in the detection of POAG than the examining primary care optometrist and will equal the performance of glaucoma specialists.

    Analytic Plan: Statistical methods for evaluating agreement will be used to compare diagnostic agreement, specifically the kappa statistic. Statistical significance will be assessed using McNemar’s test and the Stuart-Maxwell test, as deemed appropriate for the measure being evaluated.

  5. (5)

    What is the cost-effectiveness of the EQUALITY telemedicine program compared to usual in-person care by a glaucoma specialist from a limited societal perspective that will consider the direct costs of the competing models and the travel and time costs to patients?

    Hypothesis: The EQUALITY telemedicine program will be more cost-effective compared with standard in-person care by a glaucoma specialist.

    Analytic Plan: Our analysis will examine the incremental costs differences borne by both payer and patient between the telemedicine care delivery model and standard referral-base care, in association with the diagnostic accuracy as measured by the difference in findings by the retail optometrist and the glaucoma specialist. Areas of cost reduction to payers include potential reduction in recommended frequency of visits, testing and/or treatment. The patient costs analysis will include an allowance for patient time and financial expense of travel to both the retail site and to follow up studies with the glaucoma specialist, parking and co-pays to see a subspecialist. Ideally, a cost-effectiveness analysis would consider the incremental cost of delaying the deterioration of vision to a particular end point such as legal blindness. However, given the duration of the study, effects on true progression cannot be evaluated. If significant differences are seen between treatment recommendations, the effects of these differences will be modeled to estimate the incremental cost of delaying the deterioration of vision to a particular end point such as legal blindness.

  6. (6)

    What is the impact of the EQUALITY program in Walmart Vision Centers on the rate of GAD prescriptions being filled in the Walmart Pharmacy, as compared to that rate for two Walmart Pharmacies where the EQUALITY program was not administered?

    Hypothesis: Due to increased patient adherence and improved glaucoma detection: (a) The rate of GAD prescriptions will be significantly higher during the performance period of the EQUALITY project compared to the rate for the immediate preceding year and year after project completion adjusted for variation in clinical volume. (b) The rate of GAD prescriptions will be significantly higher at the EQUALITY performance sites during the project period compared to volume-adjusted comparisons to two Walmart sites with Vision Centers where the EQUALITY program was not deployed.

Discussion

Glaucoma diagnosis and management is a good candidate for telemedicine because it requires specialized expert review and depends on ocular imaging and other tests that can be electronically transmitted to distant reading centers where tertiary care specialists can consult on patient cases [7484]. Persons at increased risk for glaucoma [2, 102, 103] are often from populations with low rates of eye care utilization [3, 104, 105], stemming in part from reduced accessibility to eye care because of travel distance to tertiary care centers [23] and inadequate knowledge about the importance of eye care and common eye diseases [46, 44]. Teleglaucoma programs have the potential to reach these segments of the population, while also potentially reducing the cost of eye care [106, 90]. Eye health education can be built into interactions between the clinician/clinic staff and the patient with the goal of facilitating adherence to attending recommended and routine eye appointments and improving medication adherence [107]. In the US there are several national general-merchandise retailers with eye clinics staffed by a primary care optometrist. For example, Walmart has approximately 3200 Vision Centers distributed throughout the US. The existence of a network of retail-based clinics will facilitate the scalability of the program nationally, should its efficacy, patient acceptance, and cost-effectiveness be demonstrated. In addition, these retailers are typically located within communities where residents frequently visit them for a variety of daily and household needs. Thus, retail-based teleglaucoma programs have the potential to enhance accessibility.

This project is evaluating the feasibility, efficacy, patient acceptance, and cost-effectiveness of a teleglaucoma program that is a novel implementation of telemedicine. In reporting our evaluation of the program in future papers, we will also summarize the challenges faced in administering the program, as well as solutions implemented and lessons learned. As healthcare delivery systems in the US strive to improve quality while reducing costs, telemedicine programs, including teleglaucoma initiatives such as EQUALITY, could contribute toward reaching this goal.

Abbreviations

CEE:

Comprehensive eye examination

EQUALITY:

Eye Care Quality and Accessibility Improvement in the Community

GAD:

Glaucoma associated diagnosis

GS:

Glaucoma suspect

IOP:

Intraocular pressure

MD:

Mean deviation

NDC:

National Drug Code

OHT:

Ocular hypertension

POAG:

Primary open angle glaucoma

PPP:

Preferred practice patterns

RNFL:

Retinal nerve fiber layer

SAP:

Standard automated perimetry

SDOCT:

Spectral domain optical coherence tomography

SITA:

Swedish interactive thresholding algorithm

VFI:

Visual field index

References

  1. Friedman DS, Wolfs RC, O’Colmain BJ, Klein BE, Taylor HR, West S, et al. Prevalence of open-angle glaucoma among adults in the United States. Arch Ophthalmol. 2004;122:532–8.

    Article  PubMed  Google Scholar 

  2. Tielsch JM, Sommer A, Katz J, Royall RM, Quigley HA, Javitt JC. Racial variations in the prevalence of primary open-angle glaucoma. JAMA. 1991;266:369–74.

    Article  CAS  PubMed  Google Scholar 

  3. Javitt JC, Bean AM, Nicolson GA, Babish JD, Warren JL, Krakauer H. Undertreatment of glaucoma among black Americans. NEJM. 1991;325:1418–22.

    Article  CAS  PubMed  Google Scholar 

  4. Wilson R, Richardson TM, Hertzmark E, Grant WM. Race as a risk factor for progressive glaucomatous damage. Ann Ophthalmol. 1985;17:653–9.

    CAS  PubMed  Google Scholar 

  5. Sommer A, Tielsch JM, Katz J, Quigley HA, Gottsch JD, Javitt JC, et al. Racial differences in the cause-specific prevalence of blindness in east Baltimore. NEJM. 1991;325:1412–7.

    Article  CAS  PubMed  Google Scholar 

  6. Grant WM, Burke JFJ. Why do some people go blind from glaucoma? Ophthalmology. 1982;89:991–8.

    Article  CAS  PubMed  Google Scholar 

  7. Coulehan JL, Helzlsouer KJ, Rogers KD, Brown SI. Racial differences in intraocular tension and glaucoma surgery. Am J Epidemiol. 1980;111:759–68.

    CAS  PubMed  Google Scholar 

  8. Martin MJ, Sommer A, Gold EB, Diamond EL. Race and primary open-angle glaucoma. Am J Ophthalmol. 1985;99:383–7.

    Article  CAS  PubMed  Google Scholar 

  9. David R, Livingston D, Luntz MH. Ocular hypertension: a comparative follow-up of black and white patients. Br J Ophthalmol. 1978;62:676–8.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  10. Wilensky JT, Gandhi N, Pan T. Racial influences in open-angle glaucoma. Ann Ophthalmol. 1978;10:1398–402.

    CAS  PubMed  Google Scholar 

  11. Social Security and Medicare Boards of Trustees. A summary of the 2014 annual reports. Washington DC: Social Security Administration. http://www.ssa.gov/oact/tr/2014/tr2014.pdf. Accessed August 5, 2015.

  12. Wilson MR, Coleman AL, Yu F, Bing EG, Sasaki IF, Berlin K, et al. Functional status and well-being in patients with glaucoma as measured by the medical outcomes study short form-36 questionnaire. Ophthalmology. 1998;105:2112–6.

    Article  CAS  PubMed  Google Scholar 

  13. Odberg T, Jakobsen JE, Hultgren SJ, Halseide R. The impact of glaucoma on the quality of life of patients in Norway. II. Patient response correlated to object data. Acta Ophthalmol. 2001;79:121–4.

    Article  CAS  Google Scholar 

  14. Spaeth G, Walt J, Keener J. Evaluation of quality of life for patients with glaucoma. Am J Ophthalmol. 2006;141:S3–14.

    Article  PubMed  Google Scholar 

  15. Ringsdorf L, McGwin Jr G, Owsley C. Visual field defects and vision-specific health-related quality of life in African Americans and whites with glaucoma. J Glaucoma. 2006;15:414–8.

    Article  PubMed  Google Scholar 

  16. McGwin G, Xie A, Mays A, Joiner W, DeCarlo D, Hall T, et al. Visual field defects and the risk of motor vehicle collisions among patients with glaucoma. Invest Ophthalmol Vis Sci. 2005;46:4437–41.

    Article  PubMed  Google Scholar 

  17. Haymes SA, LeBlanc RP, Nicolela MT, Chiasson LA, Chauhan BC. Risk of falls and motor vehicle collisions in glaucoma. Invest Ophthalmol Vis Sci. 2007;48:1149–55.

    Article  PubMed  Google Scholar 

  18. Turano KA, Rubin GS, Quigley HA. Mobility performance in glaucoma. Invest Ophthalmol Vis Sci. 1999;40:2803–9.

    CAS  PubMed  Google Scholar 

  19. Crudden A, McBroom L. Barriers to employment: a survey of employed persons who are visually impaired. J Vis Impair Blind. 1999;93:341–50.

    Google Scholar 

  20. Rees G, Tee HW, Marella M, Fenwick E, Dirani M, Lamoureux EL. Vision-specific distress and depressive symptoms in people with vision impairment. Invest Ophthalmol Vis Sci. 2010;51:2891–6.

    Article  PubMed  Google Scholar 

  21. Jones G, Rovner B, Crews J, Danielson M. Effects of depressive symptoms on health behavior practices among older adults with vision loss. Rehabil Psychol. 2009;54:164–72.

    Article  PubMed  Google Scholar 

  22. Rovner BW, Zisselman PM, Shmuely-Dulitzki Y. Depression and disability in older people with impaired vision: a follow-up study. J Am Geriatr Soc. 1996;44:181–4.

    Article  CAS  PubMed  Google Scholar 

  23. Owsley C, McGwin G, Scilley K, Girkin CA, Phillips JM, Searcey K. Perceived barriers to care and attitudes about vision and eye care: focus groups with older African Americans and eye care providers. Invest Ophthal Vis Sci. 2006;47:2797–802.

    Article  PubMed  Google Scholar 

  24. Zheng DD, Christ SL, Lam BL, Arheart KL, Galor A, Lee DJ. Increased mortality risk among the visually impaired: the roles of mental well-being and preventive care practices. Invest Ophthalmol Vis Sci. 2012;53:2685–92.

    Article  PubMed Central  PubMed  Google Scholar 

  25. Knudtson MD, Klein BE, Klein R. Age-related eye disease, vision impairment, and survival: the Beaver Dam Eye Study. Arch Ophthalmol. 2006;124:243–9.

    Article  PubMed  Google Scholar 

  26. Lee DJ, Gomez-Marin O, Lam BL, Zheng DD. Glaucoma and survival: the National Health Interview Survey 1986–1994. Ophthalmology. 2003;110:1476–83.

    Article  PubMed  Google Scholar 

  27. Egge K, Zahl PH. Survival of glaucoma patients. Acta Ophthalmol. 1999;77:397–401.

    Article  CAS  Google Scholar 

  28. Leske MC, Heijl A, Hussein M, Bengtsson B, Hyman L, Komaroff E, et al. Factors for glaucoma progression and the effect of treatment: the early manifest glaucoma trial. Arch Ophthalmol. 2003;121:48–56.

    Article  PubMed  Google Scholar 

  29. Javitt JC, Brenner MH, Curbow B, Legro MW, Street DA. Outcomes of cataract surgery: improvement in visual acuity and subjective visual function after surgery in the first, second, and both eyes. Arch Ophthalmol. 1993;111:686–91.

    Article  CAS  PubMed  Google Scholar 

  30. Coleman AL, Yu F, Keeler E, Mangione CM. Treatment of uncorrected refractive error improves vision-specific quality of life. J Am Geriatr Soc. 2006;54:883–90.

    Article  PubMed  Google Scholar 

  31. Owsley C, McGwin Jr G, Scilley K, Meek C, Seker D, Dyer A. Effect of refractive error correction on health-related quality of life and depression in older nursing home residents. Arch Ophthalmol. 2007;125:1471–7.

    Article  PubMed  Google Scholar 

  32. Rein DB, Wittenborn BS, Lee PP, Wirth KE, Sorensen SW, Hoerger TJ, et al. The cost-effectiveness of routine office-based identification and subsequent medical treatment of primary open-angle glaucoma in the United States. Ophthalmology. 2009;116:823–32.

    Article  PubMed  Google Scholar 

  33. Wang F, Javitt JC. Eye care for elderly Americans with diabetes mellitus: failure to meet current guidelines. Ophthalmology. 1996;103:1744–50.

    Article  CAS  PubMed  Google Scholar 

  34. Orr P, Barron Y, Schein OD, Rubin GS, West SK. Eye care utilization by older Americans: the SEE project. Ophthalmology. 1999;106:904–9.

    Article  CAS  PubMed  Google Scholar 

  35. Bazargan M, Baker RS, Bazargan S. Correlates of recency of eye examination among elderly African-Americans. Ophthalmic Epidemiol. 1998;5:91–100.

    Article  CAS  PubMed  Google Scholar 

  36. Girkin CA. Primary open-angle glaucoma in African Americans. Int Ophthalmol Clin. 2004;44:43–60.

    Article  PubMed  Google Scholar 

  37. Walker EA, Basch CE, Howard CJ, Zybert PA, Kromholz WN, Shamoon H. Incentives and barriers to retinopathy screening among African-Americans with diabetes. J Diabetes Complications. 1997;11:298–306.

    Article  CAS  PubMed  Google Scholar 

  38. Hartnett ME, Key I, Loyacano N, Horswell R, DeSalvo K. Perceived barriers to diabetic eye care: qualitative study of patients and physicians. Arch Ophthalmol. 2005;123:387–91.

    Article  PubMed  Google Scholar 

  39. Ellish N, Royak-Schaler R, Passmore S, Higginbotham E. Knowledge, attitudes, and beliefs about dilated eye examinations among African-Americans. Invest Ophthalmol Vis Sci. 2007;48:1989–94.

    Article  PubMed Central  PubMed  Google Scholar 

  40. Owsley C, McGwin Jr G, Weston J, Stalvey BT, Searcey K, Girkin CA. Preliminary evaluation of the InCHARGE program among older African Americans in rural Alabama. J Health Dispar Res Pract. 2010;3:115–26.

    Google Scholar 

  41. Alexander R, Miller N, Cotch M, Janiszewski R. Factors that influence the receipt of eye care. Am J Health Behav. 2008;32:547–56.

    Article  PubMed Central  PubMed  Google Scholar 

  42. National Eye Institute. National Eye Health Education Program (NEHEP). 2015. http://www.nei.nih.gov/nehep/ National Institutes of Health, Department of Health and Human Services. Accessed August 3, 2015.

    Google Scholar 

  43. Prevent Blindness America. Publications catalog. 2015. http://www.preventblindness.org/prevent-blindness-america-publications-catalog. Accessed August 3, 2015.

    Google Scholar 

  44. Owsley C, McGwin Jr G, Stalvey BT, Weston J, Searcey K, Girkin CA. Educating older African-Americans about the preventive importance of routine comprehensive eye care. J Natl Med Assoc. 2008;100:1089–95.

    Article  PubMed Central  PubMed  Google Scholar 

  45. Ellish NJ, Royak-Schaler R, Higginbotham EJ. Tailored and targeted interventions to encourage dilated fundus examinations in older african americans. Arch Ophthalmol. 2011;129:1592–8.

    Article  PubMed Central  PubMed  Google Scholar 

  46. Basch CE, Walker EA, Howard CJ, Shamoon H, Zybert P. The effect of health education on the rate of ophthalmic examinations among African Americans with diabetes mellitus. Am J Public Health. 1999;89:1878–82.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  47. Walker E, Schechter C, Caban A, Basch C. Telephone intervention to promote diabetic retinopathy screening among the urban poor. Am J Prev Med. 2008;34:185–91.

    Article  PubMed Central  PubMed  Google Scholar 

  48. Jones HL, Walker EA, Schechter CB, Blanco E. Vision is precious: a successful behavioral intervention to increase the rate of screening for diabetic retinopathy for inner-city adults. Diabetes Educ. 2010;36:118–26.

    Article  PubMed Central  PubMed  Google Scholar 

  49. Lee PP, Linton KL, Ober RR, Glanville J. The efficacy of a multimedia educational campaign to increase the use of eye care services. Ophthalmology. 1994;101:1465–9.

    Article  CAS  PubMed  Google Scholar 

  50. Owsley C, McGwin Jr G, Searcey K, Weston J, Johnson A, Stalvey BT, et al. Effect of an eye health education program on older African Americans’ eye care utilization and attitudes about eye care. J Natl Med Assoc. 2013;105:69–76.

    Article  PubMed Central  PubMed  Google Scholar 

  51. Tertel Z. Analyzing ophthalmology's manpower issue: How the profession can meet patient demand despite potential shortages. Ophthalmol Manage. 2015;19:28–30.

  52. Lafuma AJ, Brezin AP, Fagnani FL, Mesbah M, Berdeaux GH. Prevalence of visual impairment in relation to the number of ophthalmologists in a given area: a nationwide approach. Health Qual Life Outcomes. 2006;4:34.

    Article  PubMed Central  PubMed  Google Scholar 

  53. MacLennan PA, Owsley C, Searcey K, McGwin Jr G. A survey of Alabama eye care providers in 2010. BMC Ophthalmol. 2014;3:44.

    Article  Google Scholar 

  54. Quigley HA, Friedman DS, Hahn SR. Evaluation of practice patterns for the of open-angle glaucoma compared to claims data. Ophthalmology. 2007;114:1599–606.

    Article  PubMed  Google Scholar 

  55. Coleman AL, Yu F, Evans SJ. Use of gonioscopy in medicare beneficiaries before glaucoma surgery. J Glaucoma. 2006;15:486–93.

    Article  PubMed  Google Scholar 

  56. Friedman DS, Nordstrom B, Mozaffari E, Quigley HA. Glaucoma management among individuals enrolled in a single comprehensive insurance plan. Ophthalmology. 2005;112:1500–4.

    Article  PubMed  Google Scholar 

  57. Lee PP. Longitudinal rates of annual eye examinations of persons with diabetes and chronic eye diseases. Ophthalmology. 2003;110:1952–9.

    Article  PubMed  Google Scholar 

  58. Fremont AM, Lee PP, Mangione CM. Patterns of care for open-angle glaucoma in managed care. Arch Ophthalmol. 2003;121:777–83.

    Article  PubMed  Google Scholar 

  59. Lee PP. Understanding the new primary open-angle glaucoma preferred practice pattern. Int Ophtlamol Clin. 1998;38:93–9.

    Article  CAS  Google Scholar 

  60. Albrecht KG, Lee PP. Conformance with preferred practice patterns in caring for patients with glaucoma. Ophthalmology. 1994;101:1668–71.

    Article  CAS  PubMed  Google Scholar 

  61. American Academy of Ophthalmology. Primary open-angle glaucoma PPP. American Academy of Ophthalmology. 2014. http://www.aao.org/guidelines-browse?filter=preferredpracticepatterns. Accessed August 3, 2015.

    Google Scholar 

  62. Fingeret M. Optometric Clinical Practice Guideline, care of the patient with open angle glaucoma. St. Louis MO: American Optometric Association; 2010. http://www.aoa.org/documents/optometrists/CPG-9.pdf. Accessed August 3, 2015.

    Google Scholar 

  63. Weinreb RN. Primary-open angle glaucoma. Lancet. 2004;363:1711–20.

    Article  PubMed  Google Scholar 

  64. Hertzog LH, Albrecht KG, LaBree L, Lee PP. Glaucoma care and conformance with preferred practice patterns. Ophthalmology. 1996;103:1009–13.

    Article  CAS  PubMed  Google Scholar 

  65. Liu L. Australia and New Zealand survey of glaucoma patterns. Clin Experiment Ophthalmol. 2008;36:19–25.

    Article  PubMed  Google Scholar 

  66. Coleman AL, Yu F, Rowe S. Visual field testing in glaucoma in Medicare beneficiaries before surgery. Ophthalmology. 2005;112:401–6.

    Article  PubMed  Google Scholar 

  67. American Telemedicine Association. What is telemedicine? 2014. http://www.americantelemed.org/about-telemedicine/what-is-telemedicine. Washington DC. Accessed August 5, 2015.

    Google Scholar 

  68. Whited JD. Accuracy and reliability of telophthalmology for diagnosing diabetic retinopathy and macular edema: a review of the literature. Diabetes Technol Ther. 2006;8:102–11.

    Article  PubMed  Google Scholar 

  69. Cuadros J, Bresnick G. EyePACS: an adaptation telemedicine system for diabetic retinopathy screening. J Diabetes Sci Technol. 2009;3:509–16.

    Article  PubMed Central  PubMed  Google Scholar 

  70. Owsley C, McGwin Jr G, Lee DJ, Lam BL, Friedman DS, Gower EW, et al. Diabetes eye screening in urban settings serving minority populations: detection of diabetic retinopathy and other ocular findings using telemedicine. JAMA Ophthalmol. 2015;133:174–81.

    Article  PubMed  Google Scholar 

  71. Au A, Gupta O. The economics of telemedicine for vitreoretinal diseases. Curr Opin Ophthalmol. 2011;22:194–8.

    Article  PubMed  Google Scholar 

  72. Mansberger SL, Sheppler C, Barker G, Gardiner SK, Demirel S, Wooten K, et al. Long-term comparative effectiveness of telemedicine in providing diabetic retinopathy screening examinations: a randomized clinnical trial. JAMA Ophthalmol. 2015;133:518–25.

    Article  PubMed  Google Scholar 

  73. Mansberger SL, Gleitsmann K, Gardiner S, Sheppler C, Demirel S, Wooten K, et al. Comparing the effectiveness of telemedicine and traditional surveillance in providing diabetic retinopathy screening examinations: a randomized controlled trial. Telemedicine J E Health. 2013;19:942–8.

    Article  Google Scholar 

  74. Kassam F, Amin S, Sogbesan E, Damji KF. The usef of teleglaucoma at the University of Alberta. J Telemed Telecare. 2012;18:367–73.

    Article  PubMed  Google Scholar 

  75. Kassam F, Yogesan K, Sogbesan E, Pasquale LR, Damji KF. Teleglaucoma: improving access and efficiency for glaucoma care. Middle East Afr J Ophthalmol. 2013;20:142–9.

    Article  PubMed Central  PubMed  Google Scholar 

  76. Kassam F, Sogbesan E, Boucher S, Rudnisky CJ, Prince W, Leinweber G, et al. Collaborative care and teleglaucoma: a novel approach to delivering glaucoma services in Northern Alberta, Canada. Clin Exp Optom. 2013;96:577–80.

    Article  PubMed  Google Scholar 

  77. Li HK, Tang RA, Oschner K, Koplos C, Grady J, Crump WJ. Telemedicine screening of glaucoma. Telemedicine J. 1999;5:283–90.

    Article  CAS  Google Scholar 

  78. Tuulonen A, Ohinmaa T, Alanko HI, Hyytinen P, Juutinen A, Toppinen E. The application of teleophthalmology in examining patients with glaucoma: a pilot study. J Glaucoma. 1999;8:367–73.

    Article  CAS  PubMed  Google Scholar 

  79. de Mul M, de Bont AA, Reus NJ, Lemij HG, Berg M. Improving the quality of eye care with tele-ophthalmology: shared-care glaucoma screening. J Telemed Telecare. 2004;10:331–6.

    Article  PubMed  Google Scholar 

  80. Blazquez F, Sebastian MA, Anton A. Detection of glaucoma using SisGlaTel: accecptability and satisfaction among participants, and problems detected. Arch Soc Esp Oftalmol. 2008;83:533–8.

    Article  CAS  PubMed  Google Scholar 

  81. Kiage D, Kherani IN, Gichuhi S, Damji KF, Nyenze M. The Muranga Teleophthalmology Study: comparison of virtual (teleglaucoma) with in-person clinical assssment to diagnose glaucoma. Middle East Afr J Ophthalmol. 2013;20:150–7.

    Article  PubMed Central  PubMed  Google Scholar 

  82. Labiris G, Fanariotis M, Christoulakis C, Patounis A, Kitsos G, Aspoitis M, et al. Tele-ophthalmology and conventional ophthalmology using a mobile medical unit in remote Greece. J Telemed Telecare. 2003;9:296–9.

    Article  CAS  PubMed  Google Scholar 

  83. Verma S, Arora S, Kassam F, Edwards M, Damji KF. Northern Alberta remote teleglaucoma program: clinical outcomes and patient disposition. Can J Ophthalmol. 2014;49:135–40.

    Article  PubMed  Google Scholar 

  84. Wright HR, Diamond JP. Service innovation in glaucoma management: using a web-based electronic patient record to facilitate virtual specialist supervision of a shared care glaucoma programme. Br J Ophthalmol. 2015;99:313–7.

    Article  PubMed Central  PubMed  Google Scholar 

  85. Li HK, Horton M, Bursell S-E, Cavallerano J, Zimmer-Galler I, Tennant M, et al. Telehealth practice recommendations for diabetic retinopathy, second edition. Telemedicine J E Health. 2011;17:1–24.

    Article  Google Scholar 

  86. Yogesan K, Constable IJ, Barry CJ, Eikelboom RH, Morgan W, Tay-Kearney ML, et al. Evaluation of a portablel fundus camera for use in the teleophthalmolgoc diagnosis of glaucoma. J Glaucoma. 1999;8:297–301.

    Article  CAS  PubMed  Google Scholar 

  87. Bergua A, Mardin CY, Horn FK. Tele-transmission of streoscopic images of the optic nerve head in glaucoma via internet. Telemedicine J E Health. 2009;15:439–44.

    Article  Google Scholar 

  88. Jampel HD, Friedman D, Quigley H, Vitale S, Miller R, Knezevich F, et al. Agreement among glaucoma specialists in assessing progressive disc changes from photographs in open-angle glaucoma patients. Am J Ophthalmol. 2009;147:39–44.

    Article  PubMed Central  PubMed  Google Scholar 

  89. Mwanza JC, Warren JL, Hochberg JT, Budenz DL, Chang RT, Ramulu PY. Combining frequency doubling technology perimetry and scanning laser polorimetry for glaucoma detection. J Glaucoma. 2014. Epub ahead of print.

  90. Strouthidis NG, Chandrasekharan G, Diamond JP, Murdoch IE. Teleglaucoma: ready to go? Br J Ophthalmol. 2014;98:1605–11.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  91. Shah NN, Bowd C, Medeiros FA, Weinreb RN, Sample PA, Hoffmann EM. Combining structureal and functional testing for detection of glaucoma. Ophthalmology. 2006;113:1593–602.

    Article  PubMed  Google Scholar 

  92. Pasquale LR, Asefzadeh B, Dunphy RW, Fisch BM, Conlin PR, Team OT. Detection of glaucoma-like optic discs in a diabetes teleretinal program. Optometry. 2007;78:657–63.

    Article  PubMed  Google Scholar 

  93. Kumar S, Giubilato A, Morgan W, Jitskaia L, Barry C, Bulsara M, et al. Glaucoma screening: analysis of conventional and telemedicine-friendly devices. Clin Experiment Ophthalmol. 2007;35:237–43.

    Article  PubMed  Google Scholar 

  94. BirminghamNews. Special report. The black belt. Alabama’s Third World. Birmingham AL. 2002. http://www.al.com/specialreport/birminghamnews/?blackbelt.html. Accessed August 3, 2015.

    Google Scholar 

  95. Sample PA, Girkin CA, Zangwill LM, Jain S, Racette L, Becerra L, et al. The African Descent and Glaucoma Evaluation Study (ADAGES): design and baseline data. Arch Ophthalmol. 2009;127:1136–45.

    Article  PubMed Central  PubMed  Google Scholar 

  96. Chauhan BC, O’Leary N, AlMobarek FA, Reis ASC, Yang H, Sharpe GP, et al. Enhanced detection of open-angle glaucoma with an anatomically accurate optical coherence tomography derived neuroretinal rim parameter. Ophthalmology. 2013;120:535–43.

    Article  PubMed Central  PubMed  Google Scholar 

  97. Centers for Disease Control and Prevention. Behavioral risk factor surveillance system. Atlanta GA: National Center for Chronic Disease Prevention and Health; 2010. http://www.cdc.gov/brfss/. Accessed August 3, 2015.

    Google Scholar 

  98. Mangione CM, Lee PP, Gutierrez PR, Spritzer K, Berry S, Hays RD, et al. Development of the 25-item National Eye Institute Visual Function Questionnaire. Arch Ophthalmol. 2001;119:1050–8.

    Article  CAS  PubMed  Google Scholar 

  99. Owsley C, McGwin Jr G, Sloane ME, Wells J, Stalvey BT, Gauthreaux S. Impact of cataract surgery on motor vehicle crash involvement by older adults. JAMA. 2002;288:841–9.

    Article  PubMed  Google Scholar 

  100. Prevent Blindness. The glaucoma educator course. Chicago IL. 2015. http://glaucoma.preventblindness.org. Accessed August 3, 2015.

    Google Scholar 

  101. Prevent Blindness. Prevent blindness. 2015. http://www.preventblindness.org, Chicago, IL. Accessed August 3, 2015.

    Google Scholar 

  102. Zhou M, Wang W, Huang W, Zhang X. Diabetes mellitus as a risk factor for open-angle glaucoma: a systematic review and meta-analysis. PLoS One. 2014;9:e102972.

    Article  PubMed Central  PubMed  CAS  Google Scholar 

  103. Quigley HA, West SK, Rodriquez J, Munoz B, Klein R, Snyder R. The prevalence of glaucoma in a population-based study of Hispanic subjects: proyecto VER. Arch Ophthalmol. 2001;119:1819–26.

    Article  CAS  PubMed  Google Scholar 

  104. MacLennan PA, McGwin Jr G, Heckemeyer C, Lolley VR, Hullett S, Saaddine J, et al. Eye care utilization among a high-risk diabetic population seen in a public hospital’s clinics. JAMA Ophthalmol. 2014;132:162–7.

    Article  PubMed Central  PubMed  Google Scholar 

  105. Morales LS, Varma R, Paz SH, Lai MY, Mazhar K, Andersen RM, et al. Self-report use of eye care among Latinos: the Los Angeles Latino Eye Study. Ophthalmology. 2010;117:207–15.

    Article  PubMed Central  PubMed  Google Scholar 

  106. Jones S, Edwards RT. Diabetic retinopathy screening: a systematic review of the economic evidence. Diabetic Med. 2010;27:249–56.

    Article  CAS  PubMed  Google Scholar 

  107. Dreer LE, Owsley C, Campbell L, Gao L, Wood A, Girkin CA. Feasibility, patient acceptability, and preliminary efficacy of a culturally informed, health promotion program to improve glaucoma medication adherence among African Americans: “Glaucoma Management Optimism for African Americans Living with Glaucoma” (GOAL). Curr Eye Res. 2015. Epub ahead of print.

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Acknowledgments

This program was funded through a cooperative agreement with the Centers for Disease Control and Prevention (#1U58DP004061), with supplemental support from the EyeSight Foundation of Alabama and Research to Prevent Blindness. The Centers for Disease Control and Prevention participated in the design, writing the manuscript, and decision to submit the manuscript for publication. The EyeSight Foundation of Alabama and Research to Prevent Blindness did not participate in any aspect of the study.

Disclaimer

The findings and conclusions in this paper are those of the authors and do not necessarily reflect the official position of the Centers for Disease Control and Prevention.

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Correspondence to Cynthia Owsley.

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Competing interests

Cynthia Owsley, Lindsay A. Rhodes, Gerald McGwin Jr, Stephen T. Mennemeyer, Mary Bregantini, Nita Patel, Demond M. Wiley, Frank LaRussa, Dan Box, Jinan Saaddine, John E. Crews, Christopher A. Girkin have no competing financial or competing non-financial interests related to this study.

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All authors made substantial contributions to study conception and design, analysis and interpretation of the data, have been involved in drafting the manuscript and its eventual revision (if required by the journal), and agree to be accountable for the work in ensuring that questions related to the accuracy and integrity of the work are appropriately investigated and resolved. All authors read and approved the final manuscript.

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Owsley, C., Rhodes, L.A., McGwin, G. et al. Eye Care Quality and Accessibility Improvement in the Community (EQUALITY) for adults at risk for glaucoma: study rationale and design. Int J Equity Health 14, 135 (2015). https://doi.org/10.1186/s12939-015-0213-8

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