Eye Care in Federally Qualified Health Centers.

PURPOSE: To assess changes in vision care availability at Federally Qualified Health Centers (FQHCs) between 2017 and 2021 and whether neighborhood-level demographic social risk factors (SRFs) associated with eye care services provided by FQHCs. DESIGN: Secondary data analysis of the Health Resources and Services Administration (HRSA) data and 2017-2021 American Community Survey (ACS). PARTICIPANTS: Federally Qualified Health Centers. METHODS: Patient and neighborhood characteristics for SRFs were summarized. Differences in FQHCs providing and not providing vision care were compared via Wilcoxon-Mann-Whitney tests for continuous measures and chi-square tests for categorical measures. Logistic regression models were used to test the associations between neighborhood measures and FQHCs providing vision care, adjusted for patient characteristics. MAIN OUTCOME MEASURES: Odds ratios (ORs) with 95% confidence intervals (CIs) for neighborhood-level predictors of FQHCs providing vision care services. RESULTS: Overall, 28.5% of FQHCs (n = 375/1318) provided vision care in 2017 versus 32% (n = 435/1362) in 2021 with some increases and decreases in both the number of FQHCs and those with and without vision services. Only 2.6% of people who accessed FQHC services received eye care in 2021. Among the 435 FQHCs that provided vision care in 2021, 27.1% (n = 118) had added vision services between 2017 and 2021, 71.5% (n = 311) had been offering vision services since at least 2017, and 1.4% (n = 6) were newly established. FQHCs providing vision care in 2021 were more likely to be in neighborhoods with a higher percentage of Hispanic/Latino individuals (OR, 1.08, 95% CI, 1.02-1.14, P = 0.0094), Medicaid-insured individuals (OR, 1.08, 95% CI, 1.02-1.14, P = 0.0120), and no car households (OR, 1.07, 95% CI, 1.01-1.13, P = 0.0142). However, FQHCs with vision care, compared to FQHCs without vision care, served a lower percentage of Hispanic/Latino individuals (27.2% vs. 33.9%, P = 0.0007), Medicaid-insured patients (42.8% vs. 46.8%, P < 0.0001), and patients living at or below 100% of the federal poverty line (61.3% vs. 66.3%, P < 0.0001). CONCLUSIONS: Vision care services are available at a few FQHCs, localized to a few states. Expanding eye care access at FQHCs would meet patients where they seek care to mitigate vision loss to underserved communities. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.

Heterogeneity of patient-reported outcome measures in clinical research.

BACKGROUND: The use of patient-reported outcome measures (PROMs) in clinical research increases and use of heterogeneous instruments reflects how well diverse traits are captured by a medical specialty. In order to reflect the heterogeneity of current PROM use in ophthalmology, we reviewed the available literature. METHODS: The medical literature database Web of Science was searched for the most cited articles in clinical ophthalmology. Titles, abstracts and full text articles were reviewed for the use of PROMs and a list of the 100 most cited articles using PROMs was obtained and stratified by year of publication. RESULTS: A total of 1,996 articles were screened. Seventy-seven out of the 100 articles identified included one PROM, and the average number of instruments was 1.5 ± 1.1. The most widely used PROMs were the National Eye Institute Visual Function Questionnaire (33%), the Ocular Surface Disease Index (14%) and the Medical Outcomes Study Short Form (13%). A simulation analysis suggested that the distribution of PROM use in ophthalmology study did not significantly differ from a power law distribution. Twenty-two percent and fifteen percent of articles did not reference and did not specify the PROM used, respectively. This rate decreased in the more recently published articles (p = 0.041). CONCLUSIONS: Our data suggest that the heterogeneity of PROMs applied in ophthalmology studies is low. The selection of PROMs for clinical studies should be done carefully, depending on the research goal.

Impact of ophthalmic clinical service use in mitigating myopia onset and progression in preschool children: a retrospective cohort study.

BACKGROUND: Although school screenings identify children with vision problems and issue referrals for medical treatment at an ophthalmic hospital, the effectiveness of this approach remains unverified. OBJECTIVE: To investigate the impact of ophthalmic clinical services on the onset and progression of myopia in preschool children identified with vision impairment. METHODS: Using data from the Shanghai Child and Adolescent Large-scale Eye Study (SCALE), this retrospective cohort study evaluated the visual development of children from three districts-Jing'an, Minhang, and Pudong-which are representative of geographic diversity and economic disparity in Shanghai's 17 districts. Initially, in 2015, the study encompassed 14,572 children aged 4-6 years, of whom 5,917 needed a referral. Our cohort consisted of 5,511 children who had two or more vision screenings and complete personal information over the follow-up period from January 2015 to December 2020. We divided these children into two groups based on their initial spherical equivalent (SE): a High-risk group (SE > -0.5 D) and a Myopia group (SE ≤ -0.5 D). Within each of these groups, we further categorized children into Never, Tardily, and Timely groups based on their referral compliance to compare the differences in the occurrence and progression of myopia. Cox proportional models were applied to estimate hazard ratios (HRs) for myopia incidence per person-years of follow-up in High-risk group. Generalized additive models(GAM) was used to calculating the progression for annual spherical equivalent changes in all children. RESULTS: Of the 5,511 preschool children (mean age, 5.25 years; 52.24% male) who received a referral recommendation, 1,327 (24.08%) sought clinical services at an ophthalmic hospital. After six years of follow-up, 65.53% of children developed myopia. The six-year cumulative incidence of myopia in the Never, Tardily, and Timely groups was 64.76%, 69.31%, and 57.14%, respectively. These percentages corresponded to hazard ratios (HRs) of 1.31 (95% CI, 1.10-1.55) for the Tardily group and 0.55 (95% CI, 0.33-0.93) for the Timely group, compared with the Never group. The HRs were adjusted for age, sex, and SE at study entry. Interestingly, the Timely group showed significantly less SE progression than the other groups (P < 0.001), and SE progression was higher in the High-risk group (-0.33 ± 0.37D/year) than in children with myopia (-0.08 ± 0.55D/year). CONCLUSION: Timely utilization of ophthalmic clinical services among children aged 4 to 6 years who fail school vision screenings can significantly reduce the incidence of myopia and slow SE progression.

[Training of Medical Assistants in Ophthalmology: Survey of a Sample of Large Ophthalmic Centers]. / Ausbildung von MFA in der Ophthalmologie. Ergebnisse einer Stichprobe von großen augenmedizinischen Zentren.

The shortage of specialists in SHI-accredited medical care is increasingly affecting medical assistants (MFA) in medical practices and Medical Care Center (MVZ). Training can mitigate the associated problems in the future, but currently only 42% of practices provide training. A survey of a sample of large ophthalmic centers was conducted to test the hypothesis that larger practices and MVZs provide disproportionate training. In addition, an interaction between ownership (physician-owned (äE); third-party owned (F)) and training engagement was evaluated. In a questionnaire-based complete survey (2022) of large ophthalmic centers of different ownerships organized in a network, the training rate by main operating site (HBS), the number of MFA trainees (MFA-A) per HBS, staffing problems and planned change in training commitment were collected. The distribution measures of the quantitative data were analyzed overall and separately by sponsoring organization and tested for significance.Results were compared to data from a representative survey (2020/2021) of all practices and MVZs. In order to determine the proportion of all ophthalmic MFA-A accounted for by the sample, their total number was determined in an extrapolation. The training rate of the total of 100 HBS of the 14 surveyed centers (11 äE, 3 F) of the sample was 82% (äE: 93%, F: 79%), which was higher than the representative survey (41%). In the sample, there were on average 5.9 MFA-A per HBS (äE: 5.6, F: 7.1), in the comparative survey 1.5. 50% of the centers in the sample reported staffing problems, 25% wanted to expand their training commitment; the comparative values of the representative survey were 11% for both parameters. Stratified by sponsorship, neither training rate nor MFA-A per HBS showed significant differences. According to projections, there were nearly 1,966 MFA-A working in ophthalmology in 2021, of which 19.5% were at centers in the study population. Of all the MFA-A in the sample, 71% were at the significantly larger centers by number of HBS owned by third-party. The survey confirms the positive correlation between the size of practices and MVZ and commitment to training. There are no significant differences according to the ownership of organization.

An international survey on retinopathy of prematurity practice patterns during the COVID-19 pandemic and lessons for future management.

PURPOSE: To assess retinopathy of prematurity (ROP) practice patterns during the coronavirus (COVID-19) pandemic. METHODS: A survey on ROP practice patterns during the COVID-19 pandemic was sent to the American Academy of Ophthalmic Executives, the International Pediatric Ophthalmology and Strabismus Council members, and to various national societies on May 19, 2020. The survey closed on the 31st of June 2020. RESULTS: Two hundred ninety-two ophthalmologists from 41 countries responded to the survey. Most replies originated in Asia (48%) and North America (38%). During the COVID-19 pandemic compared to the pre-COVID-19 period, respondents reported a reduction of 15% in the number of NICU inpatients and 19.8% of the ROP outpatients' follow-up visits. The number of ROP outpatients' follow-up visits and inpatients' exams was significantly greater in North America than in Asia (72.0% versus 37.2% and 87.8% versus 49.6%, respectively, P < 0.001). Only 14% of the ophthalmologists adopted new screening guidelines, and 7.2% reported changing their preferred treatment. In 50% of responders, laser photocoagulation was the preferred treatment. A significantly higher percentage of ophthalmologists reported using telemedicine during the pandemic, 29.8% (n = 85/285), and 15.6% (44/282) prior to the pandemic (χ2 = 15.51, p < 0.001). CONCLUSIONS: During the COVID-19 pandemic, fewer ROP screening and follow-up visits were conducted on premature infants; these findings were especially prominent among physicians in Asia. Telemedicine usage increased during the pandemic. This study highlights the need to maintain screening protocols for ROP during pandemics. The utility of technological measures could enable this, along with adequate prevention of physical contact.

[Structure of pediatric ophthalmic pathology in Uzbekistan]. / Struktura detskoi oftal'mopatologii v Uzbekistane.

PURPOSE: This study analyzes the structure of eye diseases in children of different age groups based on the materials of the ophthalmology department of the Tashkent Pediatric Medical Institute (TPMI) clinic for 2018-2021. MATERIAL AND METHODS: A retrospective analysis of statistical coupons was conducted, which included the medical records of 5613 patients of the ophthalmology department of the TPMI clinic. RESULTS: In the age structure of ophthalmopathology in children who received inpatient treatment at the TPMI clinic in 2018-2021, children aged 5 to 14 years (49.5%) and 1 to 5 years (30.7%) were significantly predominant. The proportion of patients under 1 year old was 11.2% and from 14 to 18 years old - 7.5%. Congenital glaucoma (41%) and lens diseases (30.4%) are characteristic of infants (from 0 to 1 year old); in patients aged 1 to 5 years, lens pathology (37%), congenital glaucoma (25.2%), and injuries (24.7%) were more common; in children aged 5 to 14 years, the pathology of the oculomotor apparatus (32%) and injuries (27.7%) prevailed; in the age group from 14 to 18 years, lens diseases (28.4%) and injuries of the organ of vision (28.1%) were detected more often. CONCLUSIONS: The revealed age aspects of nosologies are due to the timing of clinical manifestations of the pathology, late seeking ophthalmic care of parents, presence of a concomitant pathology in the child, which prevents surgical treatment. The results of the study will help optimize planned and emergency ophthalmological care for children in the regions of the republic.

Disparities in eye clinic patient encounters among patients requiring language interpreter services.

BACKGROUND: Communication barriers are a major cause of health disparities for patients with limited English proficiency (LEP). Medical interpreters play an important role in bridging this gap, however the impact of interpreters on outpatient eye center visits has not been studied. We aimed to evaluate the differences in length of eyecare visits between LEP patients self-identifying as requiring a medical interpreter and English speakers at a tertiary, safety-net hospital in the United States. METHODS: A retrospective review of patient encounter metrics collected by our electronic medical record was conducted for all visits between January 1, 2016 and March 13, 2020. Patient demographics, primary language spoken, self-identified need for interpreter and encounter characteristics including new patient status, patient time waiting for providers and time in room were collected. We compared visit times by patient's self-identification of need for an interpreter, with our main outcomes being time spent with ophthalmic technician, time spent with eyecare provider, and time waiting for eyecare provider. Interpreter services at our hospital are typically remote (via phone or video). RESULTS: A total of 87,157 patient encounters were analyzed, of which 26,443 (30.3%) involved LEP patients identifying as requiring an interpreter. After adjusting for patient age at visit, new patient status, physician status (attending or resident), and repeated patient visits, there was no difference in the length of time spent with technician or physician, or time spent waiting for physician, between English speakers and patients identifying as needing an interpreter. Patients who self-identified as requiring an interpreter were more likely to have an after-visit summary printed for them, and were also more likely to keep their appointment once it was made when compared to English speakers. CONCLUSIONS: Encounters with LEP patients who identify as requiring an interpreter were expected to be longer than those who did not indicate need for an interpreter, however we found that there was no difference in the length of time spent with technician or physician. This suggests providers may adjust their communication strategy during encounters with LEP patients identifying as needing an interpreter. Eyecare providers must be aware of this to prevent negative impacts on patient care. Equally important, healthcare systems should consider ways to prevent unreimbursed extra time from being a financial disincentive for seeing patients who request interpreter services.

Socioeconomic and Demographic Disparities in the Use of Telemedicine for Ophthalmic Care during the COVID-19 Pandemic.

PURPOSE: To identify disparities in the use of telemedicine during the coronavirus disease 2019 (COVID-19) pandemic. DESIGN: A cross-sectional study of completed clinical encounters in an academic ophthalmology center from March 2020 through August 2020. PARTICIPANTS: A total of 5023 patients comprising 8116 ophthalmic clinical encounters. METHODS: Medical charts were abstracted for demographic information. We identified zip code-level socioeconomic characteristics, which were drawn from the 2019 American Community Survey 5-year estimates. MAIN OUTCOME MEASURES: The completion of a synchronous video encounter, the completion of a telephone (audio-only) encounter in the absence of any video encounters, or the completion of in-person encounters only. RESULTS: During the study period, 8116 total clinical encounters were completed for 5023 unique patients. Of these patients, 446 (8.9%) participated in a video encounter, 642 (12.8%) completed a telephone encounter, and 3935 (78.3%) attended clinical appointments in person only. In adjusted analysis, patients who were Black (odds ratio [OR], 0.65; 95% confidence interval [CI], 0.52-0.80; P < 0.001) or Hispanic/Latino (OR, 0.65; 95% CI, 0.49-0.85; P = 0.002) were significantly less likely to complete a video or telephone appointment. Older patients (OR, 0.99; 95% CI, 0.98-0.99; P < 0.001), patients whose primary language was not English (OR, 0.49; 95% CI, 0.28-0.82; P = 0.01), Black patients (OR, 0.45; 95% CI, 0.32-0.62; P < 0.001), and Hispanic/Latino patients (OR, 0.56; 95% CI, 0.37-0.83; P = 0.005) were significantly less likely to complete a video encounter. Finally, among patients completing any type of telemedicine encounter, older age, (OR, 1.02; 95% CI, 1.01-1.03; P < 0.001), Medicare insurance (OR, 1.55; 95% CI, 1.11-2.17; P = 0.01), and Black race (OR, 1.97; 95% CI, 1.33-2.94; P < 0.001) were associated with using only phone visits. CONCLUSIONS: Ethnic/racial minorities, older patients, and non-English-speaking individuals were significantly less likely to complete a video telehealth encounter. With the expansion of telemedicine and the need to reduce the disparate impact of COVID-19 on minorities, it will be increasingly important to identify barriers to telehealth use and opportunities to improve access.

ALTMETRIC ANALYSIS OF THE MOST-CITED 100 ARTICLES ON THE RETINA PUBLISHED BETWEEN 2010 AND 2020.

PURPOSE: Altmetric analysis is a way of assessing the social impact of scientific articles. In this study, we aimed to analyze the 100 most-cited articles on the topic of the retina published in ophthalmology journals in traditional metrics and altmetrics. METHODS: The term "retina" was searched in the Web of Science database, and articles published in ophthalmology journals were filtered out. A total of 100 highly cited articles from 2010 to 2020 were evaluated for bibliographic data and altmetrics. First, descriptive statistics and then correlation analysis between traditional bibliographies and altmetrics were performed. RESULTS: According to the Web of Science search, the number of citations of the articles listed in the top 100 list ranged from 809 to 137. The altmetric scores of the articles listed in the top 100 list ranged from 0 to 1,340. There was no statistically significant correlation between the altmetric scores and the number of citations, but there was a statistically weak correlation between the altmetric scores and the average citations per year, H index, impact factor, and number of years since publication. CONCLUSION: Altmetrics is not sufficient to determine the scientific value of articles and can be affected by many factors, unlike traditional bibliometrics. However, being a good communicator in social media can support scientific productivity and create social impact.

Ophthalmology Departments Remain Among the Least Diverse Clinical Departments at United States Medical Schools.

PURPOSE: The current demographics of the ophthalmology workforce do not reflect the diverse United States population, which has implications for addressing health disparities. The demographics of ophthalmology department faculty may influence the recruitment of underrepresented students into the field. This study sought to determine how the racial and ethnic demographics of ophthalmology department faculty compare with those of other clinical departments at United States medical schools. DESIGN: Secondary data analysis of medical school faculty demographic data from the 2019 American Association of Medical Colleges (AAMC) Faculty Roster. PARTICIPANTS: Clinical faculty and department chairs at United States medical schools. METHODS: We analyzed the racial and ethnic demographics of clinical department faculty and department chairpersons using data from the 2019 AAMC Faculty Roster. We calculated the proportion of underrepresented minority (URM) faculty in ophthalmology and in 17 other clinical departments. We analyzed these data for statistically significant differences between ophthalmology and other clinical departments. In addition, we compared the percentage of URM ophthalmology faculty with the proportion of URM persons among graduating United States medical students and in the United States population using data from the Medical School Graduation Questionnaire and the United States census, respectively. MAIN OUTCOME MEASURES: The proportion of URM persons, defined as Black, Hispanic or Latino, Native American, or Native Hawaiian or Pacific Islander among clinical faculty and department chairs. RESULTS: Ophthalmology faculty are less racially and ethnically diverse than graduating medical students and the general United States population. When compared with 17 other clinical departments, ophthalmology has the third-lowest proportion of URM faculty, with only radiology and orthopedic surgery having a smaller proportion of URM faculty. These differences were statistically significant in most departments (12 of 18). No statistically significant difference was found in the proportion of URM department chairs in ophthalmology compared with most other clinical departments, although the absolute number of URM chairs in ophthalmology is low at only 8 chairpersons. CONCLUSIONS: More work must be done to increase the recruitment of URM physicians into ophthalmology faculty positions to obtain parity with other clinical departments and with the diverse patient populations that physicians serve.

Ophthalmic Emergencies and Effects of Different Quarantine Models During the COVID-19 Pandemic.

BACKGROUND The aim of this study was to evaluate the epidemiological features of the patients admitted to our emergency department (ED) during the COVID-19 pandemic in March, April, and May 2020, compare them with the patients in March, April, and May 2019, and to investigate the effect of various quarantine models. MATERIAL AND METHODS The records of 1206 eligible patients were reviewed. Age groups were divided according to their quarantine status. We recorded the reasons for patient presentation to the ED, the average number of patients in age groups according to quarantine days, and the problems reported by patients who presented to the ED according to quarantine days. RESULTS We enrolled 3016 of 3123 patients. The mean age was 36.4±17.3 years in 2019 and 37.8±16.4 years during the pandemic period (P=0.031). While 73.1% of the ED presentations were due to ocular trauma in 2019, it decreased to 70.7% in 2020. The proportion of those who presented to the ED during the weekend was 30.6% in 2019, but decreased to 23.9% in 2020 (<0.001). While 84.8% of trauma patients were ages 19-64 years in 2019, this rate increased to 88.9% during the pandemic (P=0.067). Non-trauma emergencies were more common than trauma emergencies in both periods in those over the age of 65 years. During the pandemic period, admissions to the ED were decreased in the quarantined age groups (P=0.001). CONCLUSIONS The changes in the number and characteristic of admissions for ophthalmic emergencies during the pandemic period may help planning allocation of healthcare personnel and resources in outpatient and emergency clinics.

SUCCESSFUL INTERVENTIONS TO IMPROVE EFFICIENCY AND REDUCE PATIENT VISIT DURATION IN A RETINA PRACTICE.

PURPOSE: To reduce the total clinic visit duration among retina providers in an academic ophthalmology department. METHODS: All patient encounters across all providers in the department were analyzed to determine baseline clinic visit duration time, defined as the elapsed time between appointment time and checkout. To increase photography capacity, a major bottleneck identified through root cause analysis, four interventions were implemented: training ophthalmic technicians to perform fundus photography in addition to optical coherence tomographies, relocating photography equipment to be adjacent to examination rooms, procuring three additional Optos widefield retinal photography units, and shifting staff schedules to better align with that of the providers. These interventions were implemented in the clinics of two retina providers. RESULTS: The average baseline visit duration for all patients across all providers was 87 minutes (19,550 patient visits). The previous average visit duration was 80 minutes for Provider 1 (557 patient visits) and 81 minutes for Provider 2 (1,246 patient visits). In the 4 weeks after interventions were implemented, the average visit duration decreased to 60 minutes for Provider 1 and 57 minutes for Provider 2. CONCLUSION: A systematic approach and a multidisciplinary team resulted in targeted, cost-effective interventions that reduced total visit durations.

Surgical Confusions in Ophthalmology: Description, Analysis, and Prevention of Errors from 2006 through 2017.

PURPOSE: To characterize surgical confusions in ophthalmology to determine their incidence, root causes, and impact on patients and physicians. DESIGN: Retrospective cohort study of errors in ophthalmic surgical procedures between January 1, 2006, and December 31, 2017. PARTICIPANTS: One hundred forty-three cases involving surgical confusions. METHODS: Cases were identified by the Ophthalmic Mutual Insurance Company from closed case files and by the New York State Health Department from the New York Patient Occurrence Reporting and Tracking program that identified the surgical confusions. MAIN OUTCOME MEASURES: Incidence and impact by intended surgery, error type, and root cause as well as preventability by the Universal Protocol. RESULTS: Of the 143 cases of surgical confusions identified, 92 cases (64.3%) were deemed preventable by the Universal Protocol. Approximately two thirds, 95 cases (66.4%), were cases of incorrect implants being used during cataract surgery (cataract extraction and intraocular lens implantation), of which 33 cases (34.7%) were not preventable by the Universal Protocol. Wrong eye blocks or anesthesia accounted for 20 cases (14.0%), incorrect eye procedures accounted for 10 cases (7.00%), incorrect refractive surgery measurements accounted for 6 cases (4.20%), incorrect patient or procedure accounted for 5 cases (3.50%), incorrect intraocular gas concentration accounted for 4 cases (2.80%), and incorrect medication in surgery accounted for 3 cases (2.10%). The most common root cause of confusion was an inadequately performed time out, which was responsible for nearly one third of all surgical confusions, 46 cases (32.2%). Incorrect lens orders or calculations before surgery (so-called upstream errors) were the second most common cause of surgical confusion, involving 31 cases (21.7%). The average legal indemnity for incorrect implant during cataract surgery was $57 514 (United States dollars). The average indemnity for incorrect refractive surgery measurement was $123 125, that for incorrect eye procedure was $50 000, and that for incorrect gas concentration was $220 844. CONCLUSIONS: Most surgical confusions could have been prevented by following the Universal Protocol properly. However, upstream errors, originating in the clinic or office before surgery, and ineffective communication during time outs suggest a need for modification of the Universal Protocol.

A comparative analysis on human resources among the specialized ophthalmic medical institutions in China.

BACKGROUND: This study compares perspectives on specialized ophthalmic medical institutions, identifies the gaps in property and geographic offerings, and explores the ways that ophthalmic medical institutions can better allocate resources. The results of this research will increase patient's access to equitable and high-quality ophthalmic care in China. METHODS: The data for this research was gathered from the Survey of China National Eye Care Capacity and Resource for the year 2015. The paper specified the number, professional level of expertise, and educational background of ophthalmic health personnel. The authors of the paper analyzed and compared the differences in ophthalmic care in public vs. private and urban vs. rural regions in China. Descriptive statistics were used. RESULTS: Of the 395 specialized ophthalmic hospitals surveyed, 332 were private medical institutions (84%), and 63 were public (16%). Of the 26 607 ophthalmic personnel surveyed, working in specialized ophthalmic hospitals, 17 561 were in private hospitals (66%) and 9 046 were in public ones (34%). Furthermore, 22 578 of those personnel worked in urban ophthalmic institutions (85%) and 4 029 worked in rural ones (15%). As for regional differences, 14 090 personnel were located in eastern China (53%), 8 828 in central regions (33%), and 3 689 in the western regions (14%). CONCLUSIONS: Public ophthalmic medical institutions still face challenges in providing equitable and widespread care. The availability of well-staffed health centers varies significantly by region. These variations impact resource allocation and directly lead to inequalities and inaccessibility of health services in certain regions of China.

Bacterial etiology of ocular and periocular infections, antimicrobial susceptibility profile and associated factors among patients attending eye unit of Shashemene comprehensive specialized hospital, Shashemene, Ethiopia.

BACKGROUND: Eye infection is a public health problem in developing countries including Ethiopia. Bacteria are major causative agents of eye infections that can lead to loss of vision. The objective of this study was to determine bacterial etiology of ocular and periocular infections, antimicrobial susceptibility profile and associated factors among patients who visited the eye unit of Shashamane Comprehensive Specialized Hospital (SCSH). METHOD: A hospital-based cross-sectional study was conducted at SCSH from September 1, 2018, to March 30, 2019. Specimens from the ocular and periocular areas were collected from a total of 332 patients who visited the eye unit. Specimens were inoculated on blood agar, chocolate agar, MacConkey agar, and mannitol salt agar. Isolated bacteria were identified by a series of biochemical tests using the standard bacteriological method. Antimicrobial susceptibility test was performed according to the Clinical and Laboratory Standard Institute by disk diffusion method. Factors that could be associated with ocular and periocular infection were collected by using structured questionnaire. Data analysis was done using SPSS version 22.0 software package. A P value less than 0.05 was considered statistically significant. RESULT: Out of the total 332 study participants with ocular and periocular infections, 198(60%) were culture positive. The proportion of Gram-positive and Gram-negative bacteria were 135(68.2%) and 63(31.8%) respectively. Among Gram-positive bacteria, Staphylococcus aureus were predominant. Among Gram-negative bacteria, Escherichia coli were predominant. Most S. aureus were resistant to penicillin. CONCLUSION: Majority of ocular and periocular infections in this study were caused by bacteria; Gram-positive bacteria were responsible for most cases.

Validity of International Classification of Diseases Codes for Identifying Neuro-Ophthalmic Disease in Large Data Sets: A Systematic Review.

BACKGROUND: Administrative health claims data have been used for research in neuro-ophthalmology, but the validity of International Classification of Diseases (ICD) codes for identifying neuro-ophthalmic conditions is unclear. EVIDENCE ACQUISITION: We performed a systematic literature review to assess the validity of administrative claims data for identifying patients with neuro-ophthalmic disorders. Two reviewers independently reviewed all eligible full-length articles and used a standardized abstraction form to identify ICD code-based definitions for 9 neuro-ophthalmic conditions and their sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). A quality assessment of eligible studies was also performed. RESULTS: Eleven articles that met criteria for inclusion are as follows: 3 studies of idiopathic intracranial hypertension (PPV 54%-91% and NPV 74%-85%), 2 studies of giant cell arteritis (sensitivity 30%-96% and PPV 94%), 3 studies of optic neuritis (sensitivity 76%-99%, specificity 83%-100%, PPV 25%-100%, and NPV 98%-100%), 1 study of neuromyelitis optica (sensitivity 60%, specificity 100%, PPV 43%-100%, and NPV 98%-100%), 1 study of ocular motor cranial neuropathies (PPV 98%-99%), and 2 studies of myasthenia gravis (sensitivity 53%-97%, specificity 99%-100%, PPV 5%-90%, and NPV 100%). No studies met eligibility criteria for nonarteritic ischemic optic neuropathy, thyroid eye disease, and blepharospasm. Approximately 45.5% provided only one measure of diagnostic accuracy. Complete information about the validation cohorts, inclusion/exclusion criteria, data collection methods, and expertise of those reviewing charts for diagnostic accuracy was missing in 90.9%, 72.7%, 81.8%, and 36.4% of studies, respectively. CONCLUSIONS: Few studies have reported the validity of ICD codes for neuro-ophthalmic conditions. The range of diagnostic accuracy for some disorders and study quality varied widely. This should be taken into consideration when interpreting studies of neuro-ophthalmic conditions using administrative claims data.

Evaluation of Ophthalmology Inpatients Consultation in a Nigerian Tertiary Eye Care Centre.

BACKGROUND: Ophthalmology consultations are more thorough on outpatient basis, but inpatient evaluation cannot be over looked especially in terms of care of patients admitted in other specialties. OBJECTIVES: This is to assess the profile of inpatient consultation and eye problems evaluated and managed by the ophthalmology department of the University of Benin Teaching Hospital, Benin City, Nigeria. METHODS: All consecutive inpatients who had ophthalmic consultations requested for by various departments in the hospital between July 2018 and June 2019. RESULTS: A total of 227 inpatient consultations with 217 diagnoses were seen. Most of the patients were between the ages of 20-39 years. The highest number of consults (50.7%) were received from the medical wards. The most common reasons for ophthalmic inpatient consultations were reduction in vision (26.7%), eye pain (19.9%) and ocular screening which was ocular examination for patients with raised intracranial pressure, hypertension, diabetes and glaucoma (15.4%). Based on subspecialties, anterior segment and cornea unit received the highest number of consults (41.9%) while retina/ uveitis received the highest (58.7%) number of screening consultation. CONCLUSION: Inpatient consultations is very useful to the patient and managing physician. Although a better knowledge in the identification of common ophthalmic conditions can help to reduce the number of inpatient consults from other medical specialties.

Google Searches and Detection of Conjunctivitis Epidemics Worldwide.

PURPOSE: Epidemic and seasonal infectious conjunctivitis outbreaks can impact education, workforce, and economy adversely. Yet conjunctivitis typically is not a reportable disease, potentially delaying mitigating intervention. Our study objective was to determine if conjunctivitis epidemics could be identified using Google Trends search data. DESIGN: Search data for conjunctivitis-related and control search terms from 5 years and countries worldwide were obtained. Country and term were masked. Temporal scan statistics were applied to identify candidate epidemics. Candidates then were assessed for geotemporal concordance with an a priori defined collection of known reported conjunctivitis outbreaks, as a measure of sensitivity. PARTICIPANTS: Populations by country that searched Google's search engine using our study terms. MAIN OUTCOME MEASURES: Percent of known conjunctivitis outbreaks also found in the same country and period by our candidate epidemics, identified from conjunctivitis-related searches. RESULTS: We identified 135 candidate conjunctivitis epidemic periods from 77 countries. Compared with our a priori defined collection of known reported outbreaks, candidate conjunctivitis epidemics identified 18 of 26 (69% sensitivity) of the reported country-wide or island nationwide outbreaks, or both; 9 of 20 (45% sensitivity) of the reported region or district-wide outbreaks, or both; but far fewer nosocomial and reported smaller outbreaks. Similar overall and individual sensitivity, as well as specificity, were found on a country-level basis. We also found that 83% of our candidate epidemics had start dates before (of those, 20% were more than 12 weeks before) their concurrent reported outbreak's report issuance date. Permutation tests provided evidence that on average, conjunctivitis candidate epidemics occurred geotemporally closer to outbreak reports than chance alone suggests (P < 0.001) unlike control term candidates (P = 0.40). CONCLUSIONS: Conjunctivitis outbreaks can be detected using temporal scan analysis of Google search data alone, with more than 80% detected before an outbreak report's issuance date, some as early as the reported outbreak's start date. Future approaches using data from smaller regions, social media, and more search terms may improve sensitivity further and cross-validate detected candidates, allowing identification of candidate conjunctivitis epidemics from Internet search data potentially to complementarily benefit traditional reporting and detection systems to improve epidemic awareness.

Changes in Electronic Health Record Use Time and Documentation over the Course of a Decade.

PURPOSE: With the current wide adoption of electronic health records (EHRs) by ophthalmologists, there are widespread concerns about the amount of time spent using the EHR. The goal of this study was to examine how the amount of time spent using EHRs as well as related documentation behaviors changed 1 decade after EHR adoption. DESIGN: Single-center cohort study. PARTICIPANTS: Six hundred eighty-five thousand three hundred sixty-one office visits with 70 ophthalmology providers. METHODS: We calculated time spent using the EHR associated with each individual office visit using EHR audit logs and determined chart closure times and progress note length from secondary EHR data. We tracked and modeled how these metrics changed from 2006 to 2016 with linear mixed models. MAIN OUTCOME MEASURES: Minutes spent using the EHR associated with an office visit, chart closure time in hours from the office visit check-in time, and progress note length in characters. RESULTS: Median EHR time per office visit in 2006 was 4.2 minutes (interquartile range [IQR], 3.5 minutes), and increased to 6.4 minutes (IQR, 4.5 minutes) in 2016. Median chart closure time was 2.8 hours (IQR, 21.3 hours) in 2006 and decreased to 2.3 hours (IQR, 18.5 hours) in 2016. In 2006, median note length was 1530 characters (IQR, 1435 characters) and increased to 3838 characters (IQR, 2668.3 characters) in 2016. Linear mixed models found EHR time per office visit was 31.9±0.2% (P < 0.001) greater from 2014 through 2016 than from 2006 through 2010, chart closure time was 6.7±0.3 hours (P < 0.001) shorter from 2014 through 2016 versus 2006 through 2010, and note length was 1807.4±6.5 characters (P < 0.001) longer from 2014 through 2016 versus 2006 through 2010. CONCLUSIONS: After 1 decade of use, providers spend more time using the EHR for an office visit, generate longer notes, and close the chart faster. These changes are likely to represent increased time and documentation pressure for providers. Electronic health record redesign and new documentation regulations may help to address these issues.

Data-Driven Scheduling for Improving Patient Efficiency in Ophthalmology Clinics.

PURPOSE: To improve clinic efficiency through development of an ophthalmology scheduling template developed using simulation models and electronic health record (EHR) data. DESIGN: We created a computer simulation model of 1 pediatric ophthalmologist's clinic using EHR timestamp data, which was used to develop a scheduling template based on appointment length (short, medium, or long). We assessed its impact on clinic efficiency after implementation in the practices of 5 different pediatric ophthalmologists. PARTICIPANTS: We observed and timed patient appointments in person (n = 120) and collected EHR timestamps for 2 years of appointments (n = 650). We calculated efficiency measures for 172 clinic sessions before implementation vs. 119 clinic sessions after implementation. METHODS: We validated clinic workflow timings calculated from EHR timestamps and the simulation models based on them with observed timings. From simulation tests, we developed a new scheduling template and evaluated it with efficiency metrics before vs. after implementation. MAIN OUTCOME MEASURES: Measurements of clinical efficiency (mean clinic volume, patient wait time, examination time, and clinic length). RESULTS: Mean physician examination time calculated from EHR timestamps was 13.8±8.2 minutes and was not statistically different from mean physician examination time from in-person observation (13.3±7.3 minutes; P = 0.7), suggesting that EHR timestamps are accurate. Mean patient wait time for the simulation model (31.2±10.9 minutes) was not statistically different from the observed mean patient wait times (32.6±25.3 minutes; P = 0.9), suggesting that simulation models are accurate. After implementation of the new scheduling template, all 5 pediatric ophthalmologists showed statistically significant improvements in clinic volume (mean increase of 1-3 patients/session; P ≤ 0.05 for 2 providers; P ≤ 0.008 for 3 providers), whereas 4 of 5 had improvements in mean patient wait time (average improvements of 3-4 minutes/patient; statistically significant for 2 providers, P ≤ 0.008). All of the ophthalmologists' examination times remained the same before and after implementation. CONCLUSIONS: Simulation models based on big data from EHRs can test clinic changes before real-life implementation. A scheduling template using predicted appointment length improves clinic efficiency and may generalize to other clinics. Electronic health records have potential to become tools for supporting clinic operations improvement.