Abstract
The nonmedical costs of visual impairment are crucial when allocating resources for prevention or treatment programs. Were analyzed the data from two representative nationwide French surveys aimed at documenting impairments that included 14,603 subjects living in institutions and 16,945 in the community. Three groups were identified: blind (light perception), low vision (loss of shape perception, LV), and controls. Item consumption was standardized on confounding factors using logistic regression. Costs attributable to visual impairment were estimated from control subjects. National nonmedical costs due to visual impairment were €9,806 million, arising mostly from LV (€8,735 million). The annual average cost/subject was €7,242 for LV and €15,679 for blindness. Loss of family income was €4,552 million, the burden on the caregiver €2,525 million, paid assistance €2,025 million, social allowances €0,942 million, and unmet needs €5,553 million. Resource allocation strategies aimed at controlling visual impairment should cover all relevant economic dimensions, including nonmedical items.
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References
Goldstein H (1980) The reported demography and causes of blindness throughout the world. Adv Ophthalmol 40: 1–99
Mathers C, Lopez A, Stein C et al. (2001) Deaths and disease burden by cause: global burden of disease estimates for 2001 by world bank country groups (http://www.fic.nih.gov/dcpp/wps/wp18.pdf)
OECD (1997) Aging in OECD countries. A critical policy challenge. social policy study no 20. Paris
Eye Diseases Prevalence Research Group (2004) Causes and prevalence of visual impairment among adults in the United States. Arch Ophthalmol 122: 477–485
Hjelmgren J, Berggren F, Andersson D (2001) Health economics guidelines—similarities, differences and some implications. Values Health 4: 225–250
Smith AF, Smith JG (1996) The economic burden of global blindness: a price too high! Br J Ophthalmol 80: 276–277
Wright SE, Keefe JE, Thies LS (2000) Direct costs of blindness in Australia. Clin Exp Ophthalmol 28: 140–142
Chiang YP, Bassi LJ, Javitt JC (1992) Federal budgetary costs of blindness. Milbank Q 70: 319–340
Robinson R, Deutcsh J, Jones HS et al. (1994) Unrecognised and unregistered visual impairment. Br J Ophthalmol 78: 736–740
Wormald R, Evans J (1994) Registration of blind and partially sighted people. Br J Ophthalmol 78: 736–740
Bruce IW, McKennell AC, Walker EC (1991) Blind and partially sighted adults in Britain: the RNIB survey, vol 1. HMSO: London
Buch H, Vinding T, La Cour M, Nielsen NV (2001) The prevalence and causes of bilateral and unilateral blindness in an elderly urban Danish population. The Copenhagen City Eye Study. Acta Ophthalmol Scand 79: 441–449
Klaver CC, Wolfs RC, Vingerling JR et al. (1998) Age-specific prevalence and causes of blindness and visual impairment in an older population: the Rotterdam Study. Arch Ophthalmol 116: 653–658
Thylefors B, Négrel AD, Pararajasegaram R, Dadzie KY (1995) Available data on blindness (update 1994). Ophthalmic Epidemiol 2: 5–39
Kocur I, Resnikoff S (2002) Visual impairment and blindness in Europe and their prevention. Br J Ophthalmol 86: 716–722
Coffey M, Reidy A, Wormald R et al. (1993) Prevalence of glaucoma in the west of Ireland. Br J Ophthalmol 77: 17–21
Brézin A, Lafuma A, Fagnani F et al. (2005) Prevalence and burden of blindness, low vision and visual impairment in institution: a nation-wide survey. Health Quality Life Outcomes 3: 27
Brézin A, Lafuma A, Fagnani F et al. (2005) Prevalence and burden of blindness, low vision and visual impairment in the community: a nation-wide survey. Arch Ophthalmol 123: 1117–1124
United Nations, Department of Economic and Social Affairs, Statistics Division (1996) Manual for the development of statistical information for disability programmes and policies. Sales no E96.XVII.4. United Nations
Anonymous (2003) Handicaps, incapacités, dépendance. Rev Fr Affaires Soc nos. 1, 2
Couet C (2002) Estimations locales dans le cadre de l’enquête HID. Institut National de la Statistique et des Etudes Economique. Séries des documents de travail de la Direction des statistiques démographiques et sociales, no F0207. INSEE: Paris. (http://www.insee.fr)
Morniche P (1998) L’enquête HID de l’INSEE—objectifs et shéma organisationnel. Courrier des Statistiques, INSEE: Paris
Anonymous (2002–2003) Assurance maladie “indicateur statistique-résultats 2000–2001
Brézin A, Lafuma A,Fagnani F et al. (2004) Blindness, low vision and other handicaps as risk factors of institution. Br J Ophthalmol 88:1330–1337
OECD (2003) Health data 2003: a comparative analysis of 30 countries. OECD: Paris (http://www.oecd.org)
Queginer P, Guillaumat L, Gattef C (1988) Epidémiologie de la cécité dans les Bouches-du-Rhone. Approche méthodologique. Bull Soc Fr Ophtalmol 88: 21–22, 25–26
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Lafuma, A., Brezin, A., Fagnani, F. et al. Nonmedical economic consequences attributable to visual impairment. Eur J Health Econ 7, 158–164 (2006). https://doi.org/10.1007/s10198-006-0346-1
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DOI: https://doi.org/10.1007/s10198-006-0346-1