PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

 
Logo of brjopthalBritish Journal of OphthalmologyVisit this articleSubmit a manuscriptReceive email alertsContact usBMJ
 
Br J Ophthalmol. 2007 October; 91(10): 1279–1281.
Published online 2007 March 14. doi:  10.1136/bjo.2006.113142
PMCID: PMC2000985

Formal and informal care utilisation amongst elderly persons with visual impairment

Abstract

Objective

To examine the determinants of formal and informal care utilisation amongst persons with age‐related macular degeneration (AMD).

Design

Cross‐sectional hospital‐based study.

Setting

Hospital eye clinic in Northern Ireland.

Participants

284 persons aged [gt-or-equal, slanted]50 years.

Main outcome measures

Participants were questioned about their care, living arrangements, eyesight‐related ability to self‐care, and eyesight‐related need to be more careful whilst undertaking everyday tasks.

Results

The percentage of older persons receiving formal and informal care rose with the level of visual impairment. 34.9% and 37.3% of those with no visual impairment received formal and informal care, respectively, compared with 51.6% and 69.9% of those with moderate visual impairment and 55.6% and 88.9% of those with severe visual impairment. Three factors (age, best corrected distance visual acuity in the better eye and living alone) were significant predictors (p<0.05) of care utilisation. The likelihood of someone utilising formal care rose with increasing age, severity of visual impairment and living alone. There is an approximate one‐to‐one trade‐off between age and visual acuity such that a difference of one line of vision is equivalent to approximately 1 year of life to the affected individual as regards its impact on the probability of care utilisation.

Conclusions

Care utilisation is predicted by age, visual acuity in the better eye and living arrangement. These findings question the validity of the current practice of defining the need for statutory services on the basis of visual acuity alone. These data may have implications for cost utility analyses of new therapeutic developments in macular degeneration.

Keywords: care utilisation, age‐related macular degeneration, visual impairment

The late stages of age‐related macular degeneration (AMD) are major cause of blindness among those aged 50 years and over in the developed world.1,2 Severe visual impairment associated with late‐stage AMD affects 0.2% of those aged 55–64, almost 5% of those aged 75–84 and 13% of those aged 85 and above.3 As AMD is a bilateral process, that it should have a severe adverse impact on the individual's health‐related quality of life and ability to live independently when advanced disease affects both eyes is not surprising.4,5,6,7,8,9,10,11 To date, there have been few systematic attempts to better understand the contribution of AMD‐related visual impairment to the utilisation of formal and informal care amongst affected individuals. However, the Blue Mountains Eye Study has shown a greater reliance on both community and family support.12 Evidence from this study has also demonstrated that decreased vision may be a contributing factor to subsequent nursing home placement.13 As the population ages and the prevalence of AMD increases, clearly a better understanding of the impact of the disease on the utilisation of formal and informal care is important. In this article we examine the determinants of formal and informal care utilisation amongst elderly persons with AMD.

Methods

Subjects

A total of 284 individuals were recruited through a hospital eye clinic in Northern Ireland. The inclusion criteria were: (a) aged 50 years and above; (b) not cognitively impaired and able to give informed written consent; and (c) a diagnosis of late AMD in at least one eye. Data collection took place between November 2000 and February 2003. The study was approved by the research ethics committee of the Queen's University of Belfast and adhered to the tenets of the Declaration of Helsinki on the participation of human volunteers.

Instruments

A set of structured questions was used to acquire information on independent living (Q1), self‐reported visual disability (Q2 and Q3), formal and informal care utilisation (Q4) and transfer payment utilisation (Q5) (table 11).). Formal care utilisation referred to (a) home help provided by social services, (b) private home help (paid for by the individual) and (c) attendance allowance (a social benefit given to those who are aged 65 or over and need help with personal care because of an illness or disability). Utilisation of informal care was defined as support provided by family or friends.

Table thumbnail
Table 1 Questions used to elicit information on formal and informal care utilisation

Measures of vision

Each participant had distance and near visual acuities and contrast sensitivity measured on each eye separately, according to a specified protocol and under standard conditions of illumination, as previously described.14

Statistical methods

The Statistical Package for Social Sciences (SPSS) version 11.5 was used to record, retrieve and analyse data. Data on socio‐demographic characteristics, namely, age, gender and visual acuity of the sample population, were examined through simple descriptive statistics. Subjects were assigned to three levels of care utilisation depending on their response to Q4 in table 11.. The three levels of care utilisation were no utilisation of care services at all (level 1), utilisation of informal care (level 2) and utilisation of formal care with or without informal care (level 3). All nominal and ordinal variables were recoded into dichotomous dummy variables for the purpose of the analysis (with reference to table 11,, the variables were recoded as follows: a) Q1, responses 2 to 6 recoded as 0 (do not live alone) and response 1 recoded as 1 (live alone); b) Q2 and Q3, responses 3 to 5 recoded as 0 (no) and responses 1 and 2 recoded as 1 (yes)). An ordinal regression model using the Cauchit link function was used to estimate the relationships between the three levels of care and all possible explanatory variables, which included age, gender, living arrangement, distance visual acuity (DVA) in the better eye, eyesight‐related ability to self‐care, and eyesight‐related need to be more careful whilst undertaking everyday tasks.

Results

Table 22 displays the summary statistics for the sample population. There were a total of 284 participants with an average age of 75.1 years. One third of the participants lived alone (36.3%) and two thirds lived within social groups (45.4% with their spouse, 13% with a relative or friend and 5.3% in residential accommodation).

Table thumbnail
Table 2 Socio‐demographic and visual acuity characteristics of participants

On classifying participants into three groups based on DVA in the better eye (table 33),), those with an acuity equal to or better than logMAR 0.3 (6/12 Snellen) who represented the no visual impairment group, had the least use of formal and informal care and transfer payments. Participants who were moderately visually impaired (logMAR 0.4–0.9) and severely impaired (logMAR 1.0 or worse) made proportionately greater use of formal and informal care and transfer payments. Those who were severely visually impaired were statistically more likely to use informal care than those who were moderately visually impaired (z score = 1.98) but were not different from each other in the use of formal care or transfer payments (z scores are 0.46 and 0.00, respectively).

Table thumbnail
Table 3 Utilisation of care services and transfer payments by distance visual acuity (DVA)

The ordinal regression model found three explanatory variables that were statistically significant, namely, age, living alone and distance visual acuity in the better eye (table 44).). The explanatory variables contributing to the model were, in order of importance (as assessed by a Wald test), age, distance visual acuity in the better eye and living alone status. All three variables have positive parameter estimates. Individuals who were older, more visually disabled and living alone were more likely to fall into level 3 of care utilisation (ie, formal care with or without informal care) compared to level 1 or 2.

Table thumbnail
Table 4 Determinants of utilisation of formal care with or without informal care

On examining the parameter estimates for age and distance visual acuity in the better eye, there was a one‐to‐one trade‐off between these two variables. Thus, a one line difference in the negative direction (reflecting better visual acuity) in visual acuity in the better eye is equivalent to restoring approximately 1 year of life to a person with AMD.

Discussion

The existing body of research on the utilisation of care services amongst visually impaired elderly persons remains very limited. It has been shown that visually impaired elderly persons are more likely than those who are not visually impaired to draw on help offered by the state and their informal support network.12 However, it is unclear whether there exists a particular factor or set of factors that may trigger the need for care. Our analysis has shown that proportionately more of the subjects received informal care from their families or friends than formal support.

Our analyses have also provided some insight into the determinants of care utilisation. The ordinal regression model showed that age, distance visual acuity in the better eye and living alone status were significant determinants of care utilisation. In particular, the likelihood of a person with AMD moving from a state of not utilising care (level 1) to utilising informal care (level 2) and finally to utilising formal care with or without informal care (level 3) increases with age, severity of visual impairment in the better eye, and when the person lives alone. This pattern likely reflects differences in the factors governing access to formal care (or used to assess access) and consequent differences in the role of formal and informal care. It would appear that formal care (such as a home help) may be triggered by general indicators of greater vulnerability (such as increasing age and living alone) and reduced ability to self‐care and live independently brought about by increased visual impairment, and consists of assistance with specific tasks at scheduled times such as that required for cooking or cleaning. On the other hand, persons who are younger with better vision and living with someone are more likely to tap into informal care or require no care at all. Informal care may provide less specific assistance in case a need arises at times that may be more difficult to predict, perhaps offering a watching role for example. This is not to understate the importance of such care. In the absence of informal carers to meet such needs, especially when individuals live alone, they may find their continued independence impossible to sustain precipitating entry to a nursing home or other care establishment or increasing the need for some form of help offered by social services.

Clearly further work is required in this area to gain a better understanding of the needs of visually impaired older persons as well as the impact of supporting AMD patients on informal caregivers. The present study has shown that the needs of the visually impaired will be more accurately assessed when the cumulative effect of age, visual acuity and living arrangement status are taken into account. Given that an improvement of even one line in acuity is equivalent to 1 year of life in terms of its impact on the probability of care use, the findings of this study provide a further impetus to minimise vision loss in AMD.

Acknowledgements

This study was supported by a grant from the Guide Dogs for the Blind Association.

Footnotes

Competing interests: None declared.

References

1. Resnikoff S, Pascolini D, Etya'ale D. et al Global data on visual impairment in the year 2002. Bull World Health Organ 2004. 82(11)844–852.852 [PubMed]
2. Seddon J M, Chen C A. The epidemiology of age‐related macular degeneration. Int Ophthalmol Clin 2004. 44(4)17–39.39 [PubMed]
3. Smith W, Assink J, Klein R. et al Risk factors for age‐related macular degeneration: pooled findings from three continents. Ophthalmology 2001. 108697–704.704 [PubMed]
4. Berdeaux G H, Nordmann J ‐ P, Colin E. et al Vision‐related quality of life in patients suffering from age‐related macular degeneration. Am J Ophthalmol 2005. 139271–279.279 [PubMed]
5. Brody B L, Gamst A C, Williams R A. et al Depression, visual acuity, comorbidity, and disability associated with age‐related macular degeneration. Ophthalmology 2001. 108(10)1893–1901.1901 [PubMed]
6. Brown G C. Vision and quality of life. Trans Am Ophthalmol Soc 1999. 97473–511.511 [PMC free article] [PubMed]
7. Brown G C, Sharma S, Brown M M. et al Utility values and age‐related macular degeneration. Arch Ophthalmol 2000. 118(1)47–51.51 [PubMed]
8. Brown M M, Brown G C, Sharma S. et al Quality of life associated with unilateral and bilateral good vision. Ophthalmology 2001. 108(4)643–648.648 [PubMed]
9. Davis C, Lovie‐Kitchin J, Thompson B. Psychosocial adjustment to age‐related macular degeneration. J Vis Impair Blind 1995. 89(1)16–27.27
10. Hersen M, Kabacoff R I, Van Hasselt V B. et al Assertiveness, depression, and social support in older visually impaired adults. J Vis Impair Blind 1995. 89(6)524–530.530
11. Williams R, Brody B, Thomas R. et al The psychosocial impact of macular degeneration. Arch Ophthalmol 1998. 116(4)514–521.521 [PubMed]
12. Wang J J, Mitchell P, Smith W. et al Impact of visual impairment on use of community support services by elderly persons: the Blue Mountains Eye Study. Invest Ophthalmol Vis Sci 1999. 40(1)12–19.19 [PubMed]
13. Wang J J, Mitchell P, Cumming R G. et al Visual impairment and nursing home placement in older Australians: the Blue Mountains Eye Study. Ophthalmic Epidemiol 2003. 10(1)3–13.13 [PubMed]
14. Hart P M, Chakravarthy U, Mackenzie G. et al Visual outcomes in the subfoveal radiotherapy study. Arch Ophthalmol 2002. 1201029–1037.1037 [PubMed]

Articles from The British Journal of Ophthalmology are provided here courtesy of BMJ Publishing Group