What is the global burden of visual impairment?

BACKGROUND: A recent estimate by the World Health Organization (WHO) suggests that 161 million persons worldwide have visual impairment, including 37 million blind (best-corrected visual acuity less than 3/60 in the better eye) and 124 million with visual impairment less severe than blindness (best-corrected acuity less than 6/18 to 3/60 in the better eye). This estimate is quoted widely, but because it is based on definitions using best-corrected visual acuity, uncorrected refractive error as a cause of visual impairment is excluded. METHODS: We reviewed data from population-based surveys of visual impairment worldwide published 1996 onwards that included presenting visual acuity, and estimated the proportion of visual impairment caused by uncorrected refractive error in different sub-regions of the world. We then extrapolated these data to estimate the worldwide burden of visual impairment including that caused by uncorrected refractive error. RESULTS: The total number of persons with visual impairment worldwide, including that due to uncorrected refractive error, was estimated as 259 million, 61% higher than the commonly quoted WHO estimate. This includes 42 million persons with blindness defined as presenting visual acuity less than 3/60 in the better eye, and 217 million persons with less severe visual impairment level defined as presenting visual acuity less than 6/18 to 3/60 in the better eye, 14% and 75% higher, respectively, than the WHO estimates based on best-corrected visual acuity. Sensitivity analysis, taking into account the uncertainty of the proportion of visual impairment caused by refractive error, revealed that the number of persons in the world with visual impairment due to uncorrected refractive error could range from 82 to 117 million. CONCLUSION: The actual burden of visual impairment worldwide, including that caused by uncorrected refractive error, is substantially higher than the commonly quoted WHO estimate that is based on best-corrected visual acuity. We suggest that the indicative estimate of 259 million persons with visual impairment worldwide, which includes 42 million blind with visual acuity less than 3/60 in the better eye, be used for further planning of the VISION 2020 initiative instead of the often quoted 161 million estimate that includes 37 million blind

Revision of visual impairment definitions in the International Statistical Classification of Diseases

BACKGROUND: The existing definitions of visual impairment in the International Statistical Classification of Diseases are based on recommendations made over 30 years ago. New data and knowledge related to visual impairment that have accumulated over this period suggest that these definitions need to be revised. DISCUSSION: Three major issues need to be addressed in the revision of these definitions. First, the existing definitions are based on best-corrected visual acuity, which exclude uncorrected refractive error as a cause of visual impairment, leading to substantial underestimation of the total visual impairment burden by about 38%. Second, the cut-off level of visual impairment to define blindness in the International Statistical Classification of Diseases is visual acuity less than 3/60 in the better eye, but with increasing human development the visual acuity requirements are also increasing, suggesting that a level less than 6/60 be used to define blindness. Third, the International Statistical Classification of Diseases uses the term 'low vision' for visual impairment level less than blindness, which causes confusion with the common use of this term for uncorrectable vision requiring aids or rehabilitation, suggesting that alternative terms such as moderate and mild visual impairment would be more appropriate for visual impairment less severe than blindness. We propose a revision of the definitions of visual impairment in the International Statistical Classification of Diseases that addresses these three issues. According to these revised definitions, the number of blind persons in the world defined as presenting visual acuity less than 6/60 in the better eye would be about 57 million as compared with the World Health Organization estimate of 37 million using the existing International Statistical Classification of Diseases definition of best-corrected visual acuity less than 3/60 in the better eye, and the number of persons in the world with moderate visual impairment defined as presenting visual acuity less than 6/18 to 6/60 in the better eye would be about 202 million as compared with the World Health Organization estimate of 124 million persons with low vision defined as best-corrected visual acuity less than 6/18 to 3/60 in the better eye. CONCLUSION: Our suggested revision of the visual impairment definitions in the International Statistical Classification of Diseases takes into account advances in the understanding of visual impairment. This revised classification seems more appropriate for estimating and tracking visual impairment in the countries and regions of the world than the existing classification in the International Statistical Classification of Diseases

Access to condoms for female sex workers in Andhra Pradesh.

BACKGROUND: Condoms are an essential part of comprehensive HIV prevention and care programmes. We report the accessibility of male condoms for female sex workers (FSWs) and the associated characteristics that may play a major role in determining access to condoms for FSWs. METHODS: Confidential interviews of 6509 street- and home-based FSWs in 13 districts of the Indian state of Andhra Pradesh provided data on the number of paying clients and various aspects of access to free condoms and purchase of condoms. Access to condoms was defined as having ever obtained condoms either through free distribution or through purchase. Multivariate analyses were done separately for street- and home-based FSWs to describe correlates of their access to condoms. The requirement of condoms was assessed based on the number of paying clients during the past 15 days. RESULTS: Data on condom access were available for 6465 (99.3%) FSWs. A total of 2850 (44.1%; 95% CI: 36.2%-52.0%) reported accessing free condoms ever and 2336 (36.1%; 95% CI: 30.6%-41.6%) had purchased condoms ever (not mutually exclusive). The primary sources for condoms were non-governmental organization facilities (73.8%) and pharmacies (79.7%) for free and purchased condoms, respectively. A total of 3510 (54.3%; 95% CI: 48.5%-60.1%) FSWs reported no access to free or purchased condoms during the past 15 days, and this no access was significantly higher for those > 30 years of age, with no schooling, street-based FSWs, and with no participation in a FSW support group (p < 0.001 for each in univariate analysis). Participation in a FSW support group was the main predictor of access to free condoms for both types of FSWs during the past 15 days with multivariate analysis. Condom requirements during the past 15 days were met for 67.5% of FSWs who had accessed only free condoms and for 33.8% of those who had accessed only purchased condoms. CONCLUSIONS: One-fourth of FSWs had never accessed condoms, and a little over half of those who had ever accessed reported no access during the past 15 days. Condom requirements were not met for three-fifths of the FSWs. HIV prevention programmes need to Increase access to free condoms for FSWs in Andhra Pradesh as access to condoms is a necessary prerequisite for condom use

HIV testing among female sex workers in Andhra Pradesh, India.

Of 6648 female sex workers (FSW) in 13 districts of Andhra Pradesh state in India, only 7.9% reported having undergone HIV testing, and three-quarters of the rest were unwilling to undergo HIV testing in the future. The risk of HIV infection as a result of the non-use of condoms was higher among FSW who reported not having been tested and were also unwilling to get tested, and they also held significantly more negative beliefs about HIV/AIDS

Awareness of eye donation in an urban population in India

Purpose: Awareness of eye donation and willingness to pledge eyes for donation was assessed in the urban population of Hyderabad, India, where corneal blindness is a significant problem. Methods: A total of 2522 subjects of all ages, representative of the Hyderabad population, participated in the Andhra Pradesh Eye Disease Study. Subjects >15 years old were interviewed regarding awareness of eye donation and willingness to pledge eyes for donation. Results: Age-gender-adjusted prevalence of awareness of eye donation was 73.8% (95% CI: 66.5-81.0%) but only 1.9% (95% CI: 0.16-3.66%) had pledged eyes. With multivariate analysis, significantly less awareness of eye donation was found in illiterate subjects (OR 0.1; 95% CI: 0.1-0.14), subjects ≥70 years old (OR 0.3; 95% CI: 0.2-0.6), subjects of lower socio-economic status (OR 0.4; 95% CI: 0.3-0.6), females (OR 0.6; 95% CI: 0.5-0.8) and Muslims (OR 0.7; 95% CI: 0.6-0.9). Media was the major source of information about eye donation. Of those aware of eye donation, 44.9% were willing to pledge eyes. Willingness to pledge eyes for donation was significantly lower in Muslims (OR 0.18; 95% CI: 0.13-0.24) than in Hindus and in subjects =60 years old (OR 0.3; 95% CI: 0.2-0.5). Conclusions: These data show that although only a few had pledged eyes there is enough potential in this population for obtaining many more corneas for transplantation. The information about distribution and demographic associations of awareness and willingness for eye donation could help in developing strategies to increase procurement of corneas for dealing with corneal blindness

Trends in catastrophic health expenditure in India: 1993 to 2014.

OBJECTIVE: To investigate trends in out-of-pocket health-care payments and catastrophic health expenditure in India by household age composition. METHODS: We obtained data from four national consumer expenditure surveys and three health-care utilization surveys conducted between 1993 and 2014. Households were divided into five groups by age composition. We defined catastrophic health expenditure as out-of-pocket payments equalling or exceeding 10% of household expenditure. Factors associated with catastrophic expenditure were identified by multivariable analysis. FINDINGS: Overall, the proportion of catastrophic health expenditure increased 1.47-fold between the 1993-1994 expenditure survey (12.4%) and the 2011-2012 expenditure survey (18.2%) and 2.24-fold between the 1995-1996 utilization survey (11.1%) and the 2014 utilization survey (24.9%). The proportion increased more in the poorest than the richest quintile: 3.00-fold versus 1.74-fold, respectively, across the utilization surveys. Catastrophic expenditure was commonest among households comprising only people aged 60 years or older: the adjusted odds ratio (aOR) was 3.26 (95% confidence interval, CI: 2.76-3.84) compared with households with no older people or children younger than 5 years. The risk was also increased among households with both older people and children (aOR: 2.58; 95% CI: 2.31-2.89), with a female head (aOR: 1.32; 95% CI: 1.19-1.47) and with a rural location (aOR: 1.27; 95% CI: 1.20-1.35). CONCLUSION: The proportion of households experiencing catastrophic health expenditure in India increased over the past two decades. Such expenditure was highest among households with older people. Financial protection mechanisms are needed for population groups at risk for catastrophic health expenditure

Hospitalisation trends in India from serial cross-sectional nationwide surveys: 1995 to 2014.

OBJECTIVES: We report hospitalisation trends for different age groups across the states of India and for various disease groups, compare the hospitalisation trends among the older (aged 60 years or more) and the younger (aged under 60 years) population and quantify the factors that contribute to the change in hospitalisation rates of the older population over two decades. DESIGN: Serial cross-sectional study. SETTING: Nationally representative sample, India. DATA SOURCES: Three consecutive National Sample Surveys (NSS) on healthcare utilisation in 1995-1996, 2004 and 2014. PARTICIPANTS: Six hundred and thirty-three thousand four hundred and five individuals in NSS 1995-1996, 385 055 in NSS 2004 and 335 499 in NSS 2014. METHODS: Descriptive statistics, multivariable analyses and a regression decomposition technique were used to attain the study objectives. RESULT: The annual hospitalisation rate per 1000 increased from 16.6 to 37.0 in India from 1995-1996 to 2014. The hospitalisation rate was about half in the less developed than the more developed states in 2014 (26.1 vs 48.6 per 1000). Poor people used more public than private hospitals; this differential was higher in the more developed (40.7% vs 22.9%) than the less developed (54.3% vs 40.1%) states in 2014. When compared with the younger population, the older population had a 3.6 times higher hospitalisation rate (109.9 vs 30.7) and a greater proportion of hospitalisation for non-communicable diseases (80.5% vs 56.7%) in 2014. Among the older population, hospitalisation rates were comparatively lower for females, poor and rural residents. Propensity change contributed to 86.5% of the increase in hospitalisation among the older population and compositional change contributed 9.3%. CONCLUSION: The older population in India has a much higher hospitalisation rate and has continuing greater socioeconomic differentials in hospitalisation rates. Specific policy focus on the requirements of the older population for hospital care in India is needed in light of the anticipated increase in their proportion in the population

Horizontal inequity in outpatient care use and untreated morbidity: evidence from nationwide surveys in India between 1995 and 2014.

Equity in healthcare has been a long-term guiding principle of health policy in India. We estimate the change in horizontal inequities in healthcare use over two decades comparing the older population (60 years or more) with the younger population (under 60 years). We used data from the nationwide healthcare surveys conducted in India by the National Sample Survey Organization in 1995-96 and 2014 with sample sizes 633 405 and 335 499, respectively. Bivariate and multivariate logit regression analyses were used to study the socioeconomic differentials in self-reported morbidity (SRM), outpatient care and untreated morbidity. Deviations in the degree to which healthcare was distributed according to need were measured by horizontal inequity index (HI). In each consumption quintile the older population had four times higher SRM and outpatient care rate than the younger population in 2014. In 1995-96, the pro-rich inequity in outpatient care was higher for the older (HI: 0.085; 95% CI: 0.066, 0.103) than the younger population (0.039; 0.034, 0.043), but by 2014 this inequity became similar. Untreated morbidity was concentrated among the poor; more so for the older (-0.320; -0.391, -0.249) than the younger (-0.176; -0.211, -0.141) population in 2014. The use of public facilities increased most in the poorest and poor quintiles; the increase was higher for the older than the younger population in the poorest (1.19 times) and poor (1.71 times) quintiles. The use of public facilities was disproportionately higher for the poor in 2014 than in 1995-96 for the older (-0.189; -0.234, -0.145 vs - 0.065; -0.129, -0.001) and the younger (-0.145; -0.175, -0.115 vs - 0.056; -0.086, -0.026) population. The older population has much higher morbidity and is often more disadvantaged in obtaining treatment. Health policy in India should pay special attention to equity in access to healthcare for the older population

Inequity in out-of-pocket payments for hospitalisation in India: Evidence from the National Sample Surveys, 1995-2014.

OBJECTIVE: We report inequity in out-of-pocket payments (OOPP) for hospitalisation in India between 1995 and 2014 contrasting older population (60 years or more) with a population under 60 years (younger population). METHODS: We used data from nationwide healthcare surveys conducted in India by the National Sample Survey Organisation in 1995-96, 2004 and 2014 with the sample sizes ranging from 333,104 to 629,888. We used generalised linear and fractional response models to study the determinants of OOPP and their burden (share of OOPP in household consumption expenditure) at a constant price. The relationship between predicted OOPP and its burden with monthly per capita consumption expenditure (MPCE) quintiles and selected socioeconomic characteristics were used to examine vertical and horizontal inequities in OOPP. RESULTS: The older population had higher OOPP for hospitalisation at all time points (range: 1.15-1.48 times) and a greater increase between 1995-96 and 2014 than the younger population (2.43 vs 1.88 times). Between 1995-96 and 2014, the increase in predicted mean OOPP for hospitalisation was higher for the poorest than the richest (3.38 vs 1.85 times) older population. The increase in predicted mean OOPP was higher for the poorest (2.32 vs 1.46 times) and poor (2.87 vs 1.05 times) older population between 1995-96 and 2004 than in the latter decade. In 2014, across all MPCE quintiles, the burden of OOPP was higher for the less developed states, females, private hospitals, and non-communicable disease and injuries, more so for the older than the younger population. In 2014, the predicted absolute OOPP for hospitalisation was positively associated with MPCE quintiles; however, the burden of OOPP was negatively associated with MPCE quintiles indicating a regressive system of healthcare financing. CONCLUSION: High OOPP for hospitalisation and greater inequity among older population calls for better risk pooling and prepayment mechanisms in India