Impact of a Social Worker in a Glaucoma Eye Care Service: A Prospective Study

Health Management Service Models for the Elderly with Visual Impairment: A Scoping Review

Background

The incidence of visual impairment(VI) in older people is gradually increasing. This review aimed to summarise the evidence on existing health management models and strategies for older adults with VI to improve health-related and vision-related quality of life (QoL) in older people.

Methods

Based on the framework of the scoping review methodology of Arksey and O'Malley (2005), a comprehensive literature search of relevant literature published between January 2010 and June 2022 in PubMed, CINAHL, EMBASE, Web of Science, Cochrane Library, CNKI, VIP, Wanfang database, Sinomed and the grey literature.

Results

Finally, 31 articles were included. The health management model had a multidisciplinary team low vision rehabilitation model, medical consortium two-way management model, low vision community comprehensive rehabilitation model, medical consortium-family contract service model, screening-referral-follow-up model, and three-level low vision care model. The health management strategy covers nine aspects, the combination of multi-element strategies is feasible, and network information technology has also shown positive results.

Conclusion

In the future, under the Internet and hierarchical management model, we should provide demand-based personalized support to rationalize and scientifically achieve hierarchical management and improve resource utilization efficiency and eye health outcomes.

Barriers to Care Among Glaucoma Patients With a Missed Appointment and Interest in a Navigator Program

PRCIS

Most glaucoma patients with missed appointments report barriers to care and social risk factors. One third expressed interest in engaging with a patient navigator program. Most expressed interest in rescheduling.

PURPOSE

The purpose of this study was to identify barriers to care among glaucoma patients with missed appointments and to assess their interest in a patient navigator program.

MATERIAL AND METHODS

A cross-sectional study involving adult glaucoma patients from an academic eye center who missed their scheduled appointment between April 18 and July 25, 2022. Participants were surveyed about reasons for missed appointments, barriers to care, social risk factors, and interest in consulting with our patient navigator program.

RESULTS

Of 172 patients with a missed glaucoma appointment, 73% (126/172) were contacted, and 40% (51/126) of those completed the survey. Participant age averaged 67±14 years, half were female (25/51, 49%), and most identified as Black (27/51, 53%) or White (21/51, 40%). Barriers to seeing a doctor including difficulty scheduling appointments (13/51, 26%), transportation (12/51, 24%), and cost or insurance barriers (8/51, 16%). Twenty-eight (55%) respondents reported at least one social risk factor. A positive association was found between having at least one risk factor and expressing interest in consulting our patient navigator (odds ratio=6.7, P =0.009). Overall, a third of respondents expressed interest in engaging with our patient navigator program (17/51, 33%). Two thirds of participants reported awareness of missed appointments (34/51, 67%), of whom 35% (12/34) reported having already rescheduled, 41% (14/34) expressed interest in rescheduling, and 24% (8/34) did not wish to return.

CONCLUSIONS

Glaucoma patients with missed appointments report barriers to care and face social risk factors. Telephone outreach may help to re-engage them with care, and patients expressed interest in a patient navigator program to address social needs.

Effect of a Patient Navigator Program to Address Barriers to Eye Care at an Academic Ophthalmology Practice

Purpose  The aim of this study was to determine whether a patient navigator program can address patient-reported barriers to eye care and to understand patient perceptions of a patient navigator program in ophthalmology. Design  This is a retrospective cohort study and cross-sectional patient survey. Subjects and Methods  A cohort of patients was recruited from a single academic ophthalmology department in the Mid-Atlantic region. Patients included in the study had received referral to the patient navigator program in the first quarter of 2022. Our patient navigator program provided patients with resources to address barriers to care such as transportation and financial assistance. Outcomes of the study included indications for referral, case resolution rate, and patient satisfaction. Results  In total, 130 referrals for 125 adult patients were included. The mean ± standard deviation age was 59 ± 17 years, 54 (44%) were male, 77 were white (62%), and 17 patients (14%) were uninsured. Common reasons for referral were transportation (52, 40%), insurance (34, 26%), and financial assistance (18, 14%). Among the 130 cases referred, 127 (98%) received an intervention from the patient navigator, who was able to resolve the referring issue in 90% of cases (117/130). Among 113 patients contacted for a follow-up telephone survey, 56 (50%) responded. Patients rated the program highly at a mean Likert rating of 4.87 out of 5. Moreover, 72% (31/43) of respondents stated their interactions with the patient navigator assisted them with taking care of their eyes. Conclusions  A patient navigator program can address barriers to eye care by connecting patients with community resources.

A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm

Purpose

In patients with ophthalmic disorders, psychosocial risk factors play an important role in morbidity and mortality. Proper and early psychiatric screening can result in prompt intervention and mitigate its impact. Because screening is resource intensive, we developed a framework for automating screening using an electronic health record (EHR)-derived artificial intelligence (AI) algorithm.

Methods

Subjects came from the Duke Ophthalmic Registry, a retrospective EHR database for the Duke Eye Center. Inclusion criteria included at least two encounters and a minimum of 1 year of follow-up. Presence of distress was defined at the encounter level using a computable phenotype. Risk factors included available EHR history. At each encounter, risk factors were used to discriminate psychiatric status. Model performance was evaluated using area under the receiver operating characteristic (ROC) curve and area under the precision-recall curve (PR AUC). Variable importance was presented using odds ratios (ORs).

Results

Our cohort included 358,135 encounters from 40,326 patients with an average of nine encounters per patient over 4 years. The ROC and PR AUC were 0.91 and 0.55, respectively. Of the top 25 predictors, the majority were related to existing distress, but some indicated stressful conditions, including chemotherapy (OR = 1.36), esophageal disorders (OR = 1.31), central pain syndrome (OR = 1.25), and headaches (OR = 1.24).

Conclusions

Psychiatric distress in ophthalmology patients can be monitored passively using an AI algorithm trained on existing EHR data.

Translational Relevance

When paired with an effective referral and treatment program, such algorithms may improve health outcomes in ophthalmology.

Addressing Social Determinants of Vision Health

Social determinants of health encompass the quality of an individual’s social and physical environment and its effect on health outcomes. Disparities in these social and environmental factors have a significant role in vision health disparities and inequity in eye care. In this review, we discuss how disparities in visual impairment and eye care utilization are affected by each of the five core domains of social determinants of health, namely economic stability (income, employment, and food security), education (education level and health literacy), health care access (insurance and medical costs), neighborhood environment (housing conditions, home ownership, pollution, and crime), and social context (race and racism). Moreover, we describe a framework by which ophthalmologists can take action to address social determinants of vision health. These actionable strategies are guided by recommendations from the National Academies of Sciences, Engineering, and Medicine and have five complementary components to address social needs: awareness (screening for social needs), assistance (connecting patients with social care resources), adjustment (altering clinical care in recognition of social needs), alignment (understanding social assets and collaborating with community organizations), and advocacy (promoting policies to address social needs). Addressing social determinants of health is complex but achievable through collaborative strategies. Ophthalmologists have an important leadership role in addressing eye care disparities by taking action on underlying social determinants of vision health.

A Randomized Trial to Improve Adherence to Follow-up Eye Examinations Among People With Glaucoma

Introduction

Appointment nonadherence is common among people with glaucoma, making it difficult for eye care providers to monitor glaucoma progression. Our objective was to determine whether the use of patient navigators, in conjunction with social worker support, could increase adherence to recommended follow-up eye appointments.

Methods

A randomized, controlled trial evaluated the effectiveness of an intervention that used patient navigators and social workers to improve patient adherence to follow-up eye care compared with usual care. Participants with glaucoma and other eye diseases (N = 344) were identified at primary care clinics in community settings through telemedicine screening of imaging and then randomized to enhanced intervention (EI) or usual care (UC). Data on participants’ visits with local ophthalmologists were collected for up to 3 years from randomization. Groups were compared for timely attendance at the first visit with the local ophthalmologist and adherence to recommended follow-up visits.

Results

Timely attendance at the first visit was higher for EI than UC (74.4% vs 39.0%; average relative risk [aRR] = 1.85; 95% CI, 1.51–2.28; P < .001). Rates of adherence to recommended annual follow-up during year 1 were 18.6% in the EI group and 8.1% in the usual care group (aRR = 2.08; 95% CI, 1.14–3.76; P = .02). The aRR across years 2 and 3 was 3.92 (95% CI, 1.24–12.43; P = .02).

Conclusion

An intervention using patient navigators and social workers doubled the rate of adherence to annual recommended follow-up eye care compared with usual care in community settings, and was effective at increasing connections with local ophthalmologists. Interventions to further improve long-term adherence are needed.

The clinical utility of the Distress Thermometer in non-oncological contexts: A scoping review

AIMS

To assess the clinical utility of the Distress Thermometer (DT) in non-cancer populations.

METHODS

The search was performed between the 6th and the 18th of April 2020, on the following databases: Web of Science (all databases included), Scopus and Science Direct. One last update was performed on 5 June 2020. The findings were reported using the PRISMA-ScR.

RESULTS

Fifty-three studies were included. Overall results indicated that this tool has been used in several contexts and populations (clinical and non-clinical). The DT is highly accessible, suitable and relevant for health professionals and/or researchers who aim to use it as a distress screening tool, particularly in patients with chronic physical conditions. Assumptions about its practicality and acceptability in non-oncology care should be made with caution since few studies have explored the psychometric qualities of this instrument, the completers' perceptions about completing the DT and the perceptions of health professionals who administer the tool.

CONCLUSIONS

This lack of information undermines conclusions about the overall clinical utility of the DT as a screening tool for distress in individuals who do not have cancer.

IMPLICATIONS FOR PRACTICE

Future research should aim to fill this gap and investigate the psychometric qualities of the DT through validation studies and, thus, increase the rigour of its application and clinical utility in non-oncological contexts.

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.