Abstract
Purpose:
To determine the accuracy of the Spot Vision Screener (Welch Allyn, Skaneateles Falls, NY) in children 6 years and older and recommend device thresholds to improve its accuracy for the detection of refractive error.
Methods:
The Spot Vision Screener results were compared with three gold standard conditions of increasingly narrow refractive error criterion. The sensitivity, specificity, positive predictive value, and negative predictive value of the Spot Vision Screener in detecting each gold standard criterion were calculated. The most accurate threshold setting for each parameter was identified by calculating the area under the curve receiver operating characteristic.
Results:
The Spot Vision Screener was able to successfully evaluate 313 of 330 children (95%). The sensitivity of the Spot Vision Screener to detect American Association for Pediatric Ophthalmology and Strabismus guidelines for amblyopia risk factors was 89.5% and the specificity was 76.7%. The sensitivity decreased to 80% and the specificity increased to 75.3% with narrower refractive criteria. The sensitivity in detecting refractive criteria improved with the proposed optimized device thresholds. Estimates for the general population indicate that the positive predictive value is reasonable at 52.3% to 61.8%, depending on the stringency of the criteria, with excellent negative predictive values.
Conclusions:
In school-aged children, the primary screening focus shifts from preventing amblyopia to detecting visual disturbances, including refractive error, that may interfere with academic performance. In this age group, the Spot Vision Screener was an acceptable method of detecting significant refractive error with improved sensitivity with threshold optimization.
INTRODUCTION
In 2016, the American Academy of Pediatrics and the National Center for Children’s Vision and Eye Health recommended instrument-based vision screening for children up to 6 years old and as an alternative when visual acuity cannot be obtained.1–3 The devices provide quick screening results, with minimal effort on the part of the tester or the child. Multiple studies have reported good efficacy of screening devices in detecting amblyopia risk factors in children.4–8 The National Center for Children’s Vision and Eye Health notes that “this age range may expand as high quality, peer reviewed, published research emerges.”9
The Spot Vision Screener (Welch Allyn, Skaneateles Falls, NY) is marketed for use in patients aged 6 months and older.10 In school-aged children, the focus of primary screening shifts from preventing amblyopia to detecting visual disturbances, including refractive errors that may interfere with academic performance. We sought to determine the accuracy of the Spot Vision Screener in children 6 years and older in our population of pediatric ophthalmology patients. Results of the Spot Vision Screener were compared with three gold standard conditions of increasingly narrow refractive error criteria, as found by comprehensive examination.
PATIENTS AND METHODS
The protocol was approved by the institutional review board at the Medical University of South Carolina for Human Research and informed consent was obtained from the patients’ parents and/or guardians prior to enrollment. The protocol for this continuing prospective study has been previously reported.6,8,11,12 Patients between 6 and 16 years old who presented for a complete pediatric ophthalmological examination when study personnel were available between June 2012 and March 2017 were included in the study. Children were screened with the Spot Vision Screener by lay personnel prior to the ophthalmic examination. The Spot Vision Screener software v.2.1.4 with installed manufacturer “out-of-the-box” cutoffs was used.13
The Spot Vision Screener provides a report of pupillary diameter, ocular alignment, estimated binocular refraction, and referral recommendation: “all measurements within range” or “complete eye exam[ination] recommended.” Several attempts were made to obtain a successful reading. Patients for whom the screening was not able to be completed (ie, no refraction estimate or recommendation) were included in the study as automatic referrals. A comprehensive ophthalmic examination was performed by a pediatric ophthalmologist masked to the screener results. All patients had an evaluation of vision, stereopsis, motility, alignment, and the anterior segment. Patients underwent cycloplegic refraction and a fundus examination 30 to 40 minutes after instillation of proparacaine hydrochloride ophthalmic solution 0.5% USP followed by one or two drops of tropicamide 1%, phenylephrine 2.5%, and cyclopentolate 1%. The ages and demographics of the patients were collected. The following data were collected from the Spot Vision Screener: whether a screening examination was successfully completed, the estimated refraction, and the referral recommendation. The following data were collected from the physician examination: motility, alignment, cycloplegic refraction, and presence of systemic or ocular pathology.
The primary goal of this study was to evaluate the predictive ability of the Spot Vision Screener to correctly identify significant refractive errors and strabismus in our study population. Results of the Spot Vision Screener were compared with three “gold standard” criteria based on the results of the comprehensive examination (Table 1). Initial analysis (gold standard 1) was done using the 2013 guidelines of the American Association for Pediatric Ophthalmology and Strabismus (AAPOS) amblyopia risk factors as defined for the oldest age group (<48 months of age).14
TABLE 1.
Gold Standard | Hyperopia (D) | Myopia (D) | Astigmatism (D) | Anisometropia (D) |
---|---|---|---|---|
1: AAPOS > 48 months | > +3.50 | > −1.50 | > +1.50 | > +1.50 |
2: Spot Vision Screener refractive criteria age (range: 72 to 240 months) | ≥ +2.50 | ≥ −1.00 | ≥ +1.50 | ≥ +1.00 |
3: Stricter criteria | ≥ +2.00 | ≥ −0.75 | ≥ +1.00 | ≥ +1.00 |
AAPOS = American Association for Pediatric Ophthalmology and Strabismus; D = diopters
Non-refractive errors of media opacity and manifest strabismus greater than 8 prism diopters were included for all three analyses.
The Spot Vision Screener is manufactured by Welch Allyn, Skaneateles Falls, NY.
Because the focus of screening school-aged children shifts from the detection of amblyopia risk factors to the detection of eye conditions such as refractive error that may impact academic performance,15 two additional analyses were performed with more narrow criteria. A second analysis (gold standard 2) was performed using the Spot Vision Screener manufacturer’s criteria for referral for the age group between 72 and 240 months as detected on the physician examination. A third analysis (gold standard 3) was performed using the Spot Vision Screener manufacturer’s criteria, except the threshold for astigmatism was narrowed to +1.00 diopters (D) or greater, myopia was changed to −0.75 D or greater, and hyperopia was changed to +2.00 D or greater. The amblyopia risk factors non-refractive criteria of significant media opacity and strabismus greater than 8 PD were included in analyses of the predictive ability of the Spot Vision Screener for the increasingly stringent gold standards.
Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the Spot Vision Screener in detecting each gold standard criterion in our population were calculated. Because PPV and NPV vary with disease prevalence,16,17 these values were also estimated, assuming a fixed sensitivity and specificity, for a general population with an estimated disease prevalence of 24%.18
Calculation of the area under the receiver operating characteristic (ROC) curve provides a visual and statistical estimation of the predictive accuracy of a test. Because the Spot Vision Screener software can be manipulated by the user to adjust the thresholds for referral for each refractive parameter, we sought to identify the most accurate threshold settings for each parameter and for all four refractive parameters in this age group.
The associations between the gold standard hyperopia or myopia diagnoses and the Spot Vision Screener estimated spherical equivalent, the gold standard astigmatism diagnoses and the Spot Vision Screener estimated astigmatism, and the gold standard anisometropia diagnoses and anisometropia calculated from Spot Vision Screener estimates were evaluated using a logistic regression approach. This process was used for each of the three increasingly narrow gold standards. The prediction performance for the Spot Vision Screener refractive parameter used to predict each diagnosis was estimated using the area under the ROC curve. Additionally, we identified the best threshold for each refractive parameter to detect each diagnosis by determining the cutoff that maximized the chi-square statistic for the logistic regression model for each outcome regressed on the dichotomized Spot Vision Screener parameter.19 Sensitivity and specificity of the selected Spot Vision Screener parameter dichotomized at the selected threshold were evaluated for the different diagnoses. We also considered combinations of thresholds for the four parameters to identify the joint combination that provided the best cutoff for discriminating whether a child had a significant refractive error (ie, had at least one of the four refractive conditions) to determine if adjusting the Spot Vision Screener criterion improved performance on the Spot Vision Screener test. All analyses were conducted in R v.3.5.2. for Windows software (Microsoft Corporation, Redmond, WA).
Results
Results of the Spot Vision Screener and ophthalmologist examinations were collected for 330 sequential, eligible children between 72 and 221 months old (mean ± standard deviation [SD]: 103 ± 28 months) (Table 2). The Spot Vision Screener successfully evaluated 313 of 330 children (95%) in the current study. The Spot Vision Screener was unable to obtain a reading for 17 children: 3 were reported by the Spot Vision Screener as having “pupils [that were] too small,” 10 were reported as “machine could not read,” despite repeated attempts and adjustments, and 4 were deemed “uncooperative” by the tester.
TABLE 2.
Characteristic | Value |
---|---|
Age, mean ± SD (months) | 103 ± 28 (range: 72 to 221) |
Male gender, no. (%) | 166 (50%) |
Ethnicity, no. | |
White | 122 |
African American | 82 |
Hispanic | 81 |
Other | 45 |
SD = standard deviation
Eleven children were found to have constant strabismus of greater than 8 PD on the physician examination. Of these, 6 children had esotropia, 4 had exotropia, and 1 had hypertropia. All but one child with Duane syndrome and exotropia in primary gaze were referred by the Spot Vision Screener.
Prediction performance of the Spot Vision Screener for the three gold standards and estimated PPV and NPV are presented in Table 3. The prevalence of 2013 AAPOS 48-month guidelines of amblyopia risk factors (gold standard 1) was found to be 42% in this patient population. The sensitivity of the Spot Vision Screener to detect AAPOS amblyopia risk factors was 89.5% and the specificity was 76.7%. The PPV was 73.9% and the NPV was 90.8%. As disease prevalence decreases, assuming a fixed test sensitivity and specificity, the PPV is expected to decrease and the NPV is expected to increase.16,17 The prevalence of amblyopia risk factors in our population of pediatric ophthalmology patients (42%) is higher than that estimated for the general population. For a general population with an estimated disease prevalence of 24%, the PPV is estimated to be 54.8% and the NPV is estimated to be 95.8%. Twelve children were not referred by the Spot Vision Screener but were found to have amblyopia risk factors on examination. Of the 12 children, 6 demonstrated hyperopia (+3.75 to 6.50 D), 3 demonstrated astigmatism (+1.75 to 2.25 D), 2 demonstrated anisometropia (1.80 to 2.00 D), and 1 demonstrated myopia (−2.25 D).
TABLE 3.
Gold Standard | Sensitivity | Specificity | PPV | NPV | Est PPV | Est NPV | Prevalence |
---|---|---|---|---|---|---|---|
1 | 89.5 (84.3 to 94.7) | 76.7 (70.5 to 82.9) | 73.9 (67.1 to 80.7) | 90.8 (86.2 to 95.4) | 54.8 | 95.8 | 42% |
2 | 80.0 (74.1 to 85.9) | 84.8 (78.8 to 90.8) | 87.0 (81.8 to 92.2) | 77.0 (70.3 to 83.7) | 62.4 | 93.1 | 56% |
3 | 75.3 (69.2 to 81.4) | 86.1 (80 to 92.2) | 89.4 (84.6 to 94.2) | 69.1 (61.8 to 76.4) | 63.1 | 91.7 | 61% |
PPV = positive predictive value; NPV = negative predictive value; Est = estimated
Sensitivity, specificity, PPV, and NPV in the study population with 95% confidence intervals. PPV and NPV as estimated for the general population (as calculated values, confidence intervals are not available) and disease prevalence for each gold standard criterion are provided. Refractive criteria as described in Table 1. Media opacity and strabismus are included as referral criteria.
The Spot Vision Screener is manufactured by Welch Allyn, Skaneateles Falls, NY.
Sensitivity decreased with the narrower criteria to 80% with gold standard 2 and 75.3% with gold standard 3, with increasing specificity. For gold standards 2 and 3, 35 and 47 children, respectively, who met the criteria were passed by the Spot Vision Screener. Half of these children demonstrated hyperopia (+2.00 to +6.50 D). As estimated for the general population, the PPV remains slightly above half, suggesting a small majority of children referred will have the defined refractive error. The estimated NPV remains excellent, suggesting only a small percentage of children not referred will have significant refractive error.
The ROC curves for the appropriate refractive Spot Vision Screener parameters for each diagnosis (hyperopia, myopia, astigmatism, and anisometropia) as determined by the three different metrics (gold standards 1, 2, and 3) are shown in Figure 1. Figure 1 also shows that the ROC curve has at least one positive diagnosis for a multiple logistic regression model, including hyperopia, myopia, astigmatism, and anisometropia as predictors. The area under the curve is greatest when the outcome is set by gold standard 1 and AAPOS amblyopia risk factor criterion, although the areas under the curve are similar across all three standards with the only exception being myopia, for which the area under the curve is notably greater using the amblyopia risk factor gold standard 1.
Table 4 shows the performance characteristics for the best individual cutoffs for the appropriate Spot Vision Screener parameter for each outcome as determined with the three gold standards. The recommended cutoffs for Spot Vision Screener detection of hyperopia for gold standards 1, 2, and 3 was a sphere of 0.50 D or greater for all three gold standards. The recommended cutoffs for Spot Vision Screener detection of myopia for gold standards 1, 2, and 3 were a sphere of −1.50 D or less, −1.00 D or less, and −0.75 D or less, respectively. The recommended cutoffs for the Spot Vision Screener detection of astigmatism for gold standards 1, 2, and 3 were a cylinder of 1.75 D or greater, 1.75 D or greater, and 1.25 D or greater, respectively. The recommended cutoffs for Spot Vision Screener detection of anisometropia for gold standards 1, 2, and 3 were a spherical equivalent of 1.375 D or greater, 0.75 D or greater, and 0.75 D or greater, respectively.
TABLE 4.
Characteristic | Hyperopia (D) | Myopia (D) | Astigmatism (D) | Anisometropia (D) | Combined |
---|---|---|---|---|---|
Gold standard 1 | > 3.50 | < −1.50 | > 1.50 | > 1.50 | At least 1 criterion met |
Recommended Spot Vision Screener cutoff | ≥ 0.50 | ≤ −1.50 | ≥ 1.75 | ≥ 1.375 | |
Sensitivity | 75.7 (61.9 to 89.5) | 90.4 (82.4 to 98.4) | 86.1 (78.1 to 94.1) | 79.5 (67.6 to 91.5) | 90.3 (85.5 to 95.2) |
Specificity | 80.9 (76.4 to 85.4) | 87.4 (83.5 to 91.3) | 83.7 (79.2 to 88.2) | 90.9 (87.6 to 94.2) | 71.9 (65.4 to 78.4) |
| |||||
Gold standard 2 | > 2.50 | < −1.00 | > 1.50 | > 1.00 | At least 1 criterion met |
Recommended Spot Vision Screener cutoff | ≥ 0.50 | ≤ −1.00 | ≥ 1.75 | ≥ 0.75 | |
Sensitivity | 63.1 (51.3 to 74.8) | 84.3 (76.7 to 91.8) | 82.0 (74.0 to 90.0) | 76.9 (66.7 to 87.2) | 86.7 (81.8 to 91.6) |
Specificity | 83.8 (79.3 to 88.2) | 81.3 (76.4 to 86.2) | 87.1 (82.9 to 91.4) | 81.5 (76.8 to 86.2) | 71.1 (63.7 to 78.6) |
| |||||
Gold standard 3 | > 2.00 | < −0.75 | > 1.00 | > 1.00 | At least 1 criterion met |
Recommended Spot Vision Screener cutoff | ≥ 0.50 | ≤ −0.75 | ≥ 1.25 | ≥ 0.75 | |
Sensitivity | 60.5 (49.5 to 71.5) | 90.7 (84.9 to 96.5) | 84.7 (78.3 to 91.0) | 76.9 (66.7 to 87.2) | 91.2 (87.3 to 95.1) |
Specificity | 85.0 (80.7 to 89.4) | 74.2 (68.6 to 79.9) | 83.0 (77.9 to 88.1) | 81.5 (76.8 to 86.2) | 65.1 (56.8 to 73.4) |
Performance characteristics and 95% confidence intervals for each outcome of the Spot Vision Screener as defined by gold standards 1, 2, and 3, based on the cutoffs determined from the receiver operating characteristic curves.
The children for whom a Spot Vision Screener reading was not obtained were treated as needing a referral for all receiver operating characteristic curves and estimated sensitivities and specificities. The combined test was based on meeting at least one or more of the criteria for the four conditions presented in the table.
The Spot Vision Screener is manufactured by Welch Allyn, Skaneateles Falls, NY.
We also identified the optimal joint combinations of cutoffs for the four parameters for discriminating whether a child needed further evaluation (ie, had at least one of the four conditions) to determine if adjusting the Spot Vision Screener criterion improved performance of the screening test. Here, gold standards 1, 2, and 3 were defined as being positive if a child had any one of the four conditions. For gold standard 1, the selected cutoffs were: a minimum sphere of −1.75 D or less, a maximum sphere of 0.75 D or greater, spherical equivalent of 0.75 D or greater, and a cylinder of 1.75 D or greater. For gold standard 2, the selected cutoffs were: a minimum sphere of −1.15 D or less, a maximum sphere of 0.75 D or greater, spherical equivalent of 0.75 D or greater, and a cylinder of 1.25 D or greater. For gold standard 3, the selected cutoffs were: a minimum sphere of −1.15 D or less, a maximum sphere of 1.00 D or greater, spherical equivalent of 0.625 D or greater, and a cylinder of 1.25 D or greater. In all cases, a child was classified as needing further evaluation regardless of whether one or more of the four criteria were met or whether the Spot Vision Screener was unable to obtain a reading (in keeping with current Spot Vision Screener manufacturer’s recommendations).
Table 5 shows the sensitivity and specificity for each gold standard based on the current Spot Vision Screener manufacturer’s “out-of-the-box” recommendations and the optimized cutoffs discussed previously. Gold standard refractive criteria are described in Table 1; however, media opacity and strabismus are not included as referral criteria in these calculations. There are small variations in these predictability parameters with adjustment of the device’s criteria to the jointly optimized cutoffs.
TABLE 5.
Screener | Gold Standard 1 (CI) | Gold Standard 2 (CI) | Gold Standard 3 (CI) |
---|---|---|---|
Spot Vision Screener “out-of-the-box” manufacturer criteria | |||
Sensitivity | 91.7 (87.2 to 96.2) | 82.4 (77.0 to 87.9) | 77.9 (72.3 to 83.6) |
Specificity | 75.7 (69.5 to 81.9) | 83.8 (77.7 to 89.9) | 84.9 (78.7 to 91.2) |
Spot Vision Screener recommendation based on jointly optimized cutoffs maximizing AUC | |||
Sensitivity | 89.0 (83.9 to 94.1) | 88.3 (93.7 to 92.9) | 85.8 (81.0 to 90.6) |
Specificity | 77.3 (71.3 to 83.3) | 80.3 (73.7 to 86.8) | 81.0 (74.1 to 87.8) |
CI = confidence interval; AUC = area under the curve
The values are based on the current Spot Vision Screener manufacturer’s”out-of-the-box” recommendations as used in this study and the jointly optimized cutoffs calculated as described in the text. Gold standard refractive criteria are as described in Table 1. Media opacity and strabismus are not included as referral criteria in these calculations.
The Spot Vision Screener is manufactured by Welch Allyn, Skaneateles Falls, NY.
DISCUSSION
The Spot Vision Screener demonstrated good sensitivity (89.5%) for detecting AAPOS amblyopia risk factors in older patients, which was slightly higher than some reports in younger children.4-7 High sensitivity is especially desirable when screening older children.14 In school-aged children, the primary focus shifts from preventing amblyopia to detecting visual impairment, including refractive errors that may interfere with academic performance. The Spot Vision Screener demonstrated lower sensitivities (80 and 75.3%) with narrower criteria detecting smaller degrees of refractive error. As has been suggested in previous studies, hyperopia is the refractive parameter most commonly “missed” by the Spot Vision Screener.12,20
We provide recommendations regarding the best cutoff threshold settings to maximize sensitivity and specificity for each of the three considered refractive gold standards. The proposed cutoffs have higher sensitivity for gold standards 2 and 3 but slightly lower specificity, whereas the current recommendation for gold standard 1 is similar to our optimized cutoffs. Although the confidence intervals overlap, thus preventing conclusive recommendations, users may consider modifying the current refractive cutoffs on the Spot Vision Screener in situations where the detection of smaller refractive errors is desirable.
A limitation of our study is the small and enriched population. Although the sensitivity and specificity are thought to be test-specific across populations, PPV and NPV vary with disease prevalence. We estimate that the PPV for the general population is between 52.3% and 61.8%, depending on the stringency of the criteria, with excellent NPVs. However, the estimates and results from our ophthalmology office population may not correlate with the results of a community or school screening. In addition, it may be helpful to further delineate the results by age, because visual needs change and growth is rapid during “school-age” years.
Currently, instrument-based screening is recommended when children are too young to cooperate with identifying letters (eg, preschool age), and optotype visual acuity screening is recommended for older children.1,2 However, the legislative requirements and methods used for school vision screenings21 are inconsistent, and the efficacy of visual acuity screenings may vary with different testing situations. The current study found that the sensitivities for the Spot Vision Screener were not unlike the sensitivities reported for visual acuity testing in detecting significant refractive error in older children. In one report of larger scale vision screening, a maximum sensitivity of 75% and specificity of 85% were obtained from combining autorefraction and uncorrected visual acuity in the detection of myopia.22–24
Automated screeners allow for rapid screening, approximately one child per minute, by minimally trained lay persons. Because of increased availability and ease of use, instrument-based screeners have been employed to screen school-aged children in areas with limited health care access20,25,26 and in school systems.25–27
Uncorrected refractive error is the primary cause of moderate to severe vision impairment in young people.28 In some situations, such as cultural barriers or time limitation, automated screening may be more effective than acuity testing in the school-aged population. Expanding eye care to all students, communities, and institutions may benefit from a flexible approach, because automated screening may maximize vision screening for their situation. We found the Spot Vision Screener to be an acceptable method of detecting significant refractive error in the school-aged population.
Acknowledgments
Supported by the South Carolina Clinical and Translational Research Institute, Medical University of South Carolina’s CTSA, and NIH/NCATS Grant No. 1UL1TR001450 (BJW).
Footnotes
The authors have no financial or proprietary interest in the materials presented herein.
REFERENCES
- 1.Donahue SP, Baker CN; Committee on Practice and Ambulatory Medicine, American Academy of Pediatrics; Section on Ophthalmology, American Academy of Pediatrics; American Association of Certified Orthoptists; American Association for Pediatric Ophthalmology and Strabismus; American Academy of Ophthalmology. Procedures for the Evaluation of the Visual System by Pediatricians. Pediatrics. 2016;137(1):e20153597. doi: 10.1542/peds.2015-3597 [DOI] [PubMed] [Google Scholar]
- 2.Donahue SP, Nixon CN, Baker CN, et al. ; Section on Ophthalmology, American Academy of Pediatrics; Committee on Practice and Ambulatory Medicine, American Academy of Pediatrics; American Academy of Ophthalmology; American Association for Pediatric Ophthalmology and Strabismus; American Association of Certified Orthoptists. Visual System Assessment in Infants, Children, and Young Adults by Pediatricians. Pediatrics. 2016;137(1):28–30. doi: 10.1542/peds.2015-3596 [DOI] [PubMed] [Google Scholar]
- 3.Nottingham Chaplin PK, Baldonado K, Hutchinson A, Moore B. Vision and eye health: moving into the digital age with instrument-based vision screening. NASN Sch Nurse. 2015;30(3):154–160. doi: 10.1177/1942602X15581054 [DOI] [PubMed] [Google Scholar]
- 4.Garry GA, Donahue SP. Validation of Spot screening device for amblyopia risk factors. J AAPOS. 2014;18(5):476–480. doi: 10.1016/j.jaapos.2014.07.156 [DOI] [PubMed] [Google Scholar]
- 5.Silbert DI, Matta NS. Performance of the Spot vision screener for the detection of amblyopia risk factors in children. J AAPOS. 2014;18(2):169–172. doi: 10.1016/j.jaapos.2013.11.019 [DOI] [PubMed] [Google Scholar]
- 6.Peterseim MM, Papa CE, Wilson ME, et al. The effectiveness of the Spot Vision Screener in detecting amblyopia risk factors. J AAPOS. 2014;18(6):539–542. doi: 10.1016/j.jaapos.2014.07.176 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Forcina BD, Peterseim MM, Wilson ME, et al. Performance of the Spot Vision Screener in children younger than 3 years of age. Am J Ophthalmol. 2017;178:79–83. doi: 10.1016/j.ajo.2017.03.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Peterseim MMW, Rhodes RS, Patel RN, et al. Effectiveness of the GoCheck Kids Vision Screener in detecting amblyopia risk factors. Am J Ophthalmol. 2018;187:87–91. doi: 10.1016/j.ajo.2017.12.020 [DOI] [PubMed] [Google Scholar]
- 9.National Association of School Nurses. Evidence-based Vision Screening Tools and Procedures. Published 2019. Accessed January 14, 2020. https://www.nasn.org/nasn-resources/practice-topics/vision-health.
- 10.Allyn Welch. Spot Vision Screener. Accessed January 20, 2020. https://www.welchallyn.com/en/products/categories/physical-exam/eye-exam/vision-screeners/spot-vision-screener.html
- 11.Arana Mendez M, Arguello L, Martinez J, et al. Evaluation of the Spot Vision Screener in young children in Costa Rica. J AAPOS. 2015;19(5):441–444. doi: 10.1016/j.jaapos.2015.08.002 [DOI] [PubMed] [Google Scholar]
- 12.Feldman S, Peterseim MMW, Trivedi RH, Edward Wilson M, Cheeseman EW, Papa CE. Detecting high hyperopia: the Plus Lens Test and the Spot Vision Screener. J Pediatr Ophthalmol Strabismus. 2017;54(3):163–167. doi: 10.3928/01913913-20161013-05 [DOI] [PubMed] [Google Scholar]
- 13.Allyn Welch. Welch Allyn Spot Vision Screener Model VS100. Directions for use. Software version 3.1XX Accessed February 9, 2019. https://wwwwelchallyncom/content/dam/welchallyn/documents/sap-documents/LIT/80024/80024271LITPDFpdf
- 14.Donahue SP, Arthur B, Neely DE, et al. ; POS Vision Screening Committee. Guidelines for automated preschool vision screening: a 10-year, evidence-based update. J AAPOS. 2013;17(1):4–8. doi: 10.1016/j.jaapos.2012.09.012 [DOI] [PubMed] [Google Scholar]
- 15.Prevent Blindness position statement on school-aged vision screeening and eye health programs. Published 2015. Accessed February 9, 2019. www.preventblindness.org
- 16.Altman DG, Bland JM. Diagnostic tests 1: sensitivity and specificity. BMJ. 1994;308(6943):1552. doi: 10.1136/bmj.308.6943.1552 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Altman DG, Bland JM. Diagnostic tests 2: predictive values. BMJ. 1994;309(6947):102. doi: 10.1136/bmj.309.6947.102 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Ferebee A. Childhood Vision: Public Challenges and Opportunities: A Policy Brief. The Center for Health and Health Care in Schools. School of Public Health and Health Services, The George Washington University Medical Center. Published 2004. Accessed January 20, 2020. http://www.healthinschools.org/wp-content/uploads/2016/10/visionfinal.pdf
- 19.Prince Nelson SL, Ramakrishnan V, Nietert PJ, Kamen DL, Ramos PS, Wolf BJ An evaluation of common methods for dichotomization of continuous variables to discriminate disease status. Communications in Statistics: Theory and Methods. 2017;46(21):10823–10834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Barugel R, Touhami S, Samama S, et al. Evaluation of the Spot Vision Screener for children with limited access to ocular health care. J AAPOS. 2019;23:153e151–155. doi: 10.1016/j.jaapos.2018.09.012 [DOI] [PubMed] [Google Scholar]
- 21.Bennett KP, Maloney W. Weighing in on Canadian school-based vision screening: a call for action. Can J Public Health. 2017;108(4):e421–e426. doi: 10.17269/CJPH.108.6062 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Yu H, Shao Y, Yuan H, Yan B. Age-determined referral criteria of myopia for large-scale vision screening. Eye Sci. 2015;30(4):151–155. [PubMed] [Google Scholar]
- 23.Tong L, Saw SM, Tan D, et al. Sensitivity and specificity of visual acuity screening for refractive errors in school children. Optom Vis Sci. 2002;79(10):650–657. doi: 10.1097/00006324-200210000-00011 [DOI] [PubMed] [Google Scholar]
- 24.Silbert DI, Matta NS, Brubaker A. Flip chart visual acuity screening for amblyopia risk factors compared to the PlusoptiX A09 photoscreener: tests performed by a lay screener. Binocul Vis Strabolog Q Simms Romano. 2013;28(4):222–228. [PubMed] [Google Scholar]
- 25.Washington State Legislature. 246-760-071 Required and alternative vision screening tools and referral criteria. Published 2017. Accessed January 20, 2020. https://sboh.wa.gov/Portals/7/Doc/VisionScreening/VisionScreeningToolsforWashingtonState-Schools.pdf
- 26.Tuitt K. Lions Club vision screener hits school-age roadblock. Published 2017. Accessed January 20, 2020. https://www.lowell-sun.com/2017/04/10/lions-club-vision-screener-hits-school-age-roadblock/
- 27.Burgettstown Middle/High School, Nurse. Accessed January 14, 2020. https://www.burgettstown.k12.pa.us/Page/2938.
- 28.Bourne R, Resnikoff R, Ackland P. Global Cause Estimates: The causes of Global Distance Loss IAPB Vision Atlas. Accessed January 20, 2020. http://atlas.iapb.org/global-burden-vision-impairment/gbvi-global-cause-estimates/