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      Effective refractive error coverage: an eye health indicator to measure progress towards universal health coverage

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          Abstract

          Universal health coverage and eye health In 2015, all United Nations Member States adopted seventeen Sustainable Development Goals (SDGs), to be achieved by 2030.1 One of these – SDG 3 – relates specifically to health, and includes a target (3.8) to “achieve universal health coverage, including financial risk protection, access to quality essential health‐care services and access to safe, effective, quality and affordable essential medicines and vaccines for all.”1 Universal health coverage (UHC) means that anyone who needs health care can access quality health services without risk of financial harm.2 UHC aspires to include the world's poor and marginalised in health service improvements so that ‘no one is left behind’. Quality‐of‐care is embodied within the concept of UHC and the World Health Organization (WHO) recommends that ‘effective’ coverage indicators are a necessary approach to capture data on quality in monitoring progress in service provision. Effective service coverage describes coverage of sufficient quality to allow for maximum possible health gains.3 In the recent World Report on Vision, WHO called for the routine measurement of effective coverage of refractive error and effective coverage of cataract surgery as a means to monitor eye health service coverage and quality within UHC.4 Cataract and refractive error are the cause of almost three‐quarters of vision impairment (moderate or worse; presenting visual acuity <6/18) globally, affecting an estimated 189 million people in 2015.5 Both conditions have efficacious treatment, and the ability to define and measure outcomes with visual acuity after correction or surgery enables an assessment of quality to be made and, therefore, for effective coverage to be calculated. Effective cataract surgical coverage (eCSC) was defined and its calculation outlined in 2017,6 but a similar detailed outline is not yet available for effective refractive error coverage (eREC). For more than a decade, authors have reported ‘refractive error’ or ‘spectacle’ coverage metrics from population‐based surveys7, 8, 9, 10, 11, 12, 13, 14, 15 and, thanks to the visual acuity measurements used in their definitions, these are akin to effective coverage. However, methodological descriptions and definitions have been inconsistent across these surveys, and often relied on assumptions that potentially overestimated the need for correction and subsequent coverage measures. We have reviewed these prior definitions, and here we outline a method to measure and calculate eREC. Defining effective refractive error coverage (eREC) World Health Organization's World Report on Vision listed three data points necessary to calculate effective refractive error coverage. In Table 1 we provide technical details for these and outline how they equate to measures of met need, under‐met need and unmet need for refractive error correction. Details are outlined below, followed by discussion of measurement and reporting aspects. We propose that the existing WHO mild distance vision impairment threshold of 6/12 in the better eye16 is used to establish need as well as to establish effective correction. Vision impairment is typically reported at the level of a person rather than for each eye separately,4, 17 so eREC is calculated using visual acuity in the better eye of each individual and reported at the person level. Table 1 Mapping the terms used in the World Report on Vision to define effective refractive error coverage by visual acuity measurements and need for refractive error correction World Report on Vision (modified † ) Visual acuity‐based definitions Need for refractive error correction (1) Prevalent cases of vision impairment and blindness due to uncorrected refractive error Individuals with UCVA‡ worse than 6/12 in the better eye who do not have correction and who improve to 6/12 or better with PinVA§ Unmet need (c) (2) Prevalent cases of vision impairing refractive error with spectacles or contact lenses regardless of visual outcome Individuals with UCVA worse than 6/12 in the better eye who have correction and whose CVA ¶ : Is 6/12 or better Improves to 6/12 or better with pinhole over correction Met need (a) Under‐met need (b) (3) Prevalent cases of vision impairing refractive error with spectacles or contact lenses and a good visual outcome (i.e. do not have vision impairment when wearing spectacles or contact lenses) Individuals with UCVA worse than 6/12 in the better eye who have spectacles and whose CVA is 6/12 or better Met need (a) † Italicised words in column one have been added to the text from the World Report on Vision by the authors for clarification. ‡ UCVA = uncorrected visual acuity: VA measured with the naked eye/ without correction. § PinVA = pinhole visual acuity: VA measured with pinhole occluder, either in front of the naked eye or person's own habitual correction. ¶ CVA = corrected visual acuity: VA measured with person's own habitual correction. John Wiley & Sons, Ltd Uncorrected refractive error is considered present when uncorrected visual acuity (VA) worse than 6/12 improves to 6/12 or better with pinhole or refraction (Table 1). Individuals with uncorrected refractive error are considered to have unmet need. Some individuals will have uncorrected VA of worse than 6/12 in the better eye that improves to 6/12 or better with their own correction (spectacles or contact lenses). These individuals have met need. Individuals with correction who do not achieve a corrected VA of 6/12 or better, but improve to 6/12 or better with pinhole (pinhole VA) over their habitual correction or with new refraction (best‐corrected VA), are considered to have under‐met need. Anyone with uncorrected VA of 6/12 or better in the better eye is considered to have no need for refractive error correction. People wearing refractive error correction, but unable to achieve 6/12 or better in the better eye with the addition of pinhole to their correction will be considered as having other vision impairment – a cause other than uncorrected refractive error, e.g., cataract. These individuals are not included in the group with need for refractive error correction. Need for refractive error correction is considered as those who have vision impairing refractive error, being the sum of those whose needs are met, under‐met and unmet (Table 1 and Figure 1). Near visual acuity and need for near vision/presbyopic correction are not included in eREC calculations. Figure 1 Flow chart demonstrating the visual acuity measurements required to categorise individuals as having no need, met need, under‐met need and unmet need. *No need may include people who have correction but can see 6/12 without it. 6/12 threshold refers to better eye acuity; the ‘spectacle’ symbol represents spectacle or contact lens correction In some contexts, it may be appropriate for the threshold of need to be higher or lower than 6/12. For example, cataract surgical coverage (CSC) and effective cataract surgical coverage (eCSC) are typically reported at three levels of cataract‐related vision impairment‐<6/18, 6/60 and 3/60‐depending on the health system context and eligibility criteria for surgery. Here, we define eREC with a 6/12 threshold, but other thresholds for need could be measured and reported depending on the setting and population e.g. 6/18 or 6/9. Regardless of the primary threshold used, to allow for international comparison we propose that all studies that report eREC report results at the 6/12 need threshold. We have also used 6/12 as the threshold of a ‘good’ visual outcome with refractive error correction, the measure of service effectiveness/quality. In some contexts, it may be appropriate for this threshold to be lower (e.g. 6/9 or 6/6), but regardless of the lowest threshold reported, all studies reporting eREC should also report at the 6/12 outcome threshold to allow for international comparison. Using the VA‐based definitions, eREC can be calculated as follows: eREC % = Met Need a Met Need a + Undermet Need b + Unmet Need c × 100 eREC: A worked example Within a survey sample: 50 people have unmet need (c) 50 people have distance correction. Of these: 20 have distance correction, but have UCVA 6/12 or better (i.e. not vision impaired without correction; excluded from the numerator and denominator) 30 people have distance correction and UCVA < 6/12. Of these: o 5 have CVA < 6/12 and Pinhole VA ≥ 6/12 (b) o 25 have CVA ≥ 6/12 (a) eREC % = a a + b + c = 25 25 + 5 + 50 = 25 80 × 100 = 31 % Measurement The purpose of an eye care coverage indicator is to quantify the proportion of a population with an eye health need that has had that need met. As such it must be reported from a representative sample of a defined population of interest – i.e. via a population‐based survey. The calculation of eREC in a population requires two or three separate VA measurements, depending on whether a person presents with correction. Many surveys currently measure and report presenting VA (PVA), which measures vision with habitual correction, but does not specify whether a person is wearing correction. Surveys wishing to report eREC must routinely measure (1) uncorrected VA (UCVA), (2) corrected VA (CVA) for those wearing correction and (3) when either UCVA or CVA <6/12 pinhole VA (PinVA) or best‐corrected VA (BCVA) when refraction is done. Pinhole VA tends to be more commonly reported as conducting refraction in surveys has extensive resource implications, while pinhole screening has been shown to be effective at identifying refractive error in general populations.18, 19 These VA measurements will enable estimates of no need, met need, under‐met need and unmet need (Figure 1). Other considerations Identifying the quality gap in refractive error services In the absence of co‐morbidity, 100% of optical corrections dispensed should give a better eye visual outcome of 6/12 or better. However, within populations there are individuals who wear correction but do not see 6/12 or better, and therefore have under‐met need. There are several causes of under‐met need, including: Poor quality refraction Poor quality glazing/dispensing Damaged spectacle lenses A change in prescription since the previous correction was dispensed The last two causes do not necessarily reflect the quality of the refraction service, but may rather reflect whether services are available, accessible, affordable or acceptable. When a survey identifies a high proportion of participants with under‐met need, the causes could be investigated and findings used to develop appropriate interventions to address identified short‐comings in refractive error services. By including under‐met in the numerator of the eREC calculation, we arrive at a definition for refractive error coverage (REC). REC measures whether vision‐impairing refractive error has been corrected, regardless of whether a ‘good’ outcome is achieved, i.e., it measures the UHC element of access to refractive error correction, but not the element of quality. REC % = Met Need a + Undermet Need b Met Need a + Undermet Need b + Unmet Need c × 100 . Returning to the eREC worked example above, REC is higher than eREC: REC % = a + b a + b + c = 25 + 5 25 + 5 + 50 = 30 80 × 100 = 38 % The relative gap between REC and eREC can be calculated to determine the extent of refractive error correction that is under‐met i.e. the Relative ‘Quality’ Gap in refractive error services. Relative ‘ Quality ’ Gap % = 1 - eREC REC = 1 - 31.3 37.5 = 17 % In survey data from Australia, South Africa and Pakistan, unmet and under‐met need were reported separately, so the quality gap can be calculated (Table 2).8, 20, 21 Table 2 Comparison of coverage and effective coverage in selected population‐based surveys Study Methodology Age Group (years) WHO Region Country eREC (reported by study) REC (calculated from text) Quality gap in refractive error services† Naidoo (2016) Sub‐national; RARE 15‐35 Africa South Africa 51.4% 54.3% 5.3% Shah (2008) National eye health survey 30+ South‐East Asia Pakistan 15.1% 22.7% 33.5% Foreman (2017) National eye health survey 40+ Western Pacific Australia 93.5% (Non‐Indigenous) 82.2% (Indigenous) 98.7% 94.0% 5.3% 12.0% eREC, effective refractive error coverage, WHO, World Health Organization. † The relative gap between eREC and REC is calculated as (1 – (eREC/REC)). John Wiley & Sons, Ltd Non‐compliance with refractive error correction Non‐compliance with prescribed refractive error correction is a concern, particularly among children.22 As eREC is derived from population‐based surveys, anyone not habitually wearing their correction at the time of data collection will be categorised as having unmet need, i.e., non‐compliance will not be detected. We recognise that there is a need to explore non‐compliance as a barrier to met need. eREC targets The WHO has not yet set a specific target for the 2023 Milestone pertaining to the coverage of essential health services.23 It has previously recommended that each country set its own UHC targets based on local priorities and realities and this was reaffirmed in the World Report on Vision. The need for local eREC target‐setting becomes evident given the large range in refractive error or spectacle coverage previously reported – from over 90% in non‐Indigenous Australians,8 to around 50% in urban Colombia,10 to <5% in Nigeria.7 Reporting We propose that REC and eREC are both reported from population‐based surveys along with the proportions and sample numbers with no need and met, unmet and under‐met need for refractive error correction. We propose that studies report how they defined refractive error correction, i.e., spectacles ± contact lenses. Sample proportions can be extrapolated to the population using population data, e.g., from a census. Where surveys report age and sex adjusted estimates (on account of non‐representativeness of sample) eREC should also be adjusted. Presbyopic correction coverage The World Report on Vision highlighted the economic impact of the decreased productivity associated with as many as 800 million people having uncorrected or under‐corrected presbyopia, alongside the one billion with corrected presbyopia.4 Presbyopic spectacle coverage has previously been reported alongside, but separate to, refractive error or spectacle coverage.10, 11, 13, 15, 24, 25 We believe the need for refractive error correction and presbyopic correction should continue to be reported separately due to differences in (1) the need for refractive error correction in different populations, (2) the measurements required for the two conditions and (3) the implications for services. To improve monitoring of this vast eye health need, standardised definitions, methods and reporting of presbyopic need and coverage in population‐based surveys is required. Conclusion The World Report on Vision highlighted the need for consensus on the definition and measurement of eye health indicators, and emphasized the importance of effective coverage indicators for refractive error and cataract.4 Here we have provided a detailed outline of how effective refractive error coverage (eREC) can be measured and calculated. eREC is an indicator of the availability, accessibility, affordability and acceptability of refractive error services provided in a defined area. Baseline and follow‐up population‐based measurements of effective coverage can inform eye health planners about progress towards improving the access to, and quality of, their services. Standardised definitions, methods and reporting of refractive error correction need and eREC – disaggregated by sex, place of residence, socioeconomic position and disability26 wherever possible – will improve our understanding of eye health need in populations, enable evidence‐based planning for eye health services and, ultimately, assist the realisation of universal health coverage.

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          Applying an equity lens to interventions: using PROGRESS ensures consideration of socially stratifying factors to illuminate inequities in health.

          To assess the utility of an acronym, place of residence, race/ethnicity/culture/language, occupation, gender/sex, religion, education, socioeconomic status, and social capital ("PROGRESS"), in identifying factors that stratify health opportunities and outcomes. We explored the value of PROGRESS as an equity lens to assess effects of interventions on health equity.
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            Effective cataract surgical coverage: An indicator for measuring quality-of-care in the context of Universal Health Coverage

            Objective To define and demonstrate effective cataract surgical coverage (eCSC), a candidate UHC indicator that combines a coverage measure (cataract surgical coverage, CSC) with quality (post-operative visual outcome). Methods All Rapid Assessment of Avoidable Blindness (RAAB) surveys with datasets on the online RAAB Repository on April 1 2016 were downloaded. The most recent study from each country was included. By country, cataract surgical outcome (CSOGood, 6/18 or better; CSOPoor, worse than 6/60), CSC (operated cataract as a proportion of operable plus operated cataract) and eCSC (operated cataract and a good outcome as a proportion of operable plus operated cataract) were calculated. The association between CSC and CSO was assessed by linear regression. Gender inequality in CSC and eCSC was calculated. Findings Datasets from 20 countries were included (2005–2013; 67,337 participants; 5,474 cataract surgeries). Median CSC was 53.7% (inter-quartile range[IQR] 46.1–66.6%), CSOGood was 58.9% (IQR 53.7–67.6%) and CSOPoor was 17.7% (IQR 11.3–21.1%). Coverage and quality of cataract surgery were moderately associated—every 1% CSC increase was associated with a 0.46% CSOGood increase and 0.28% CSOPoor decrease. Median eCSC was 36.7% (IQR 30.2–50.6%), approximately one-third lower than the median CSC. Women tended to fare worse than men, and gender inequality was slightly higher for eCSC (4.6% IQR 0.5–7.1%) than for CSC (median 2.3% IQR -1.5–11.6%). Conclusion eCSC allows monitoring of quality in conjunction with coverage of cataract surgery. In the surveys analysed, on average 36.7% of people who could benefit from cataract surgery had undergone surgery and obtained a good visual outcome.
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              Correction of refractive error in the adult population of Bangladesh: meeting the unmet need.

              To assess the extent of uncorrected refractive error and associated factors in Bangladesh and to suggest ways in which this need can be met. A nationally representative sample of 12,782 adults (>/= 30 years of age) was selected. Of them, 11,624 subjects underwent a demographic interview, visual acuity (logarithm of the minimum angle of resolution [logMAR]) measurement, automated refraction, and optic disc examination. Subjects with visual acuity less than 6/12 in either eye also had a corrected refraction measurement, cataract grading, and dilated retinal examination. Of the 11,624 subjects examined, 2,469 (22.1%) were myopes (less than -0.5 D) and 2,308 (20.6%) hyperopes (more than +0.5 D). The spectacle coverage percentage, calculated as [met need/(met need + unmet need) x 100%] was 25.2% and 40.5%, using 6/12 and 6/18 visual acuity cutoffs, respectively, and was higher in men and urban inhabitants. Older subjects and the literate and more highly educated were more likely to wear spectacles; however, most spectacle wearers (81%) had inadequate correction. Of the 1142 subjects who would benefit from spectacles, 827 (72.4%) would be suitable for off-the-shelf spectacles. Subjects without spectacles with less than 6/12 in the better eye (n = 835), would achieve 6/12 or better with correction (unmet need). Extrapolation to the national population yields an estimate that 1.5 million (6.7%) adult men and 1.8 million (9.2%) women have an unmet need for refractive correction. In Bangladesh, there is low spectacle coverage with a large unmet need. This survey identified risk groups, in particular women and those living in rural areas. This description of the availability of refractive services suggests areas for improvement (e.g., off-the-shelf spectacles) that may enable Bangladesh to achieve the goals of the World Health Organization's Vision 2020 initiative.
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                Author and article information

                Contributors
                ian.mccormick@lshtm.ac.uk
                Journal
                Ophthalmic Physiol Opt
                Ophthalmic Physiol Opt
                10.1111/(ISSN)1475-1313
                OPO
                Ophthalmic & Physiological Optics
                John Wiley and Sons Inc. (Hoboken )
                0275-5408
                1475-1313
                26 December 2019
                January 2020
                : 40
                : 1 ( doiID: 10.1111/opo.v40.1 )
                : 1-5
                Affiliations
                [ 1 ] International Centre for Eye Health Faculty of Infectious and Tropical Diseases London School of Hygiene & Tropical Medicine London UK
                Author notes
                [*] [* ] Correspondence: Ian McCormick

                E‐mail address: ian.mccormick@ 123456lshtm.ac.uk

                Author information
                https://orcid.org/0000-0002-7360-3844
                https://orcid.org/0000-0001-6287-0384
                https://orcid.org/0000-0001-8179-556X
                https://orcid.org/0000-0003-1872-9169
                https://orcid.org/0000-0002-5764-1306
                Article
                OPO12662
                10.1111/opo.12662
                7004023
                31879992
                b335ca1a-2852-4d46-b173-7a6e9c46dccf
                © 2019 The Authors. Ophthalmic and Physiological Optics published by John Wiley & Sons Ltd on behalf of College of Optometrists

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Figures: 1, Tables: 2, Pages: 5, Words: 3507
                Funding
                Funded by: Wellcome Trust , open-funder-registry 10.13039/100004440;
                Award ID: 207472/Z/17/Z
                Funded by: Commonwealth Scholarship Commission , open-funder-registry 10.13039/501100000867;
                Funded by: Queen Elizabeth Diamond Jubilee Trust
                Categories
                Guest Editorial
                Guest Editorial
                Custom metadata
                2.0
                January 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.5 mode:remove_FC converted:06.02.2020

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