Skip to main content
Top
Published in: Health Economics Review 1/2017

Open Access 01-12-2017 | Research

Health care utilisation amongst older adults with sensory and cognitive impairments in Europe

Authors: David G. Lugo-Palacios, Brenda Gannon

Published in: Health Economics Review | Issue 1/2017

Login to get access

Abstract

Worldwide, the high prevalence of multiple chronic conditions amongst older population has led to increased utilisation of health care and rising associated costs, becoming a major public health concern. Hearing, vision and cognitive disorders are common chronic conditions amongst older Europeans and recent studies have documented its high co-occurrence. While it has been shown separately that suffering either mental disorders or sensory (hearing and vision) impairments is associated with higher health care utilisation, the association between health care utilisation and the interaction of these conditions has received little attention in the literature. Therefore, using four waves of the Survey of Health, Ageing and Retirement in Europe (SHARE), this study applies the correlated random effects method to the negative binomial and finite mixture models to analyse the extent to which the interaction of cognitive and sensory impairments is associated with health care use. We found that individuals with cognitive impairment tend to have more hospitalisations. The finite mixture approach indicates a positive association between sensory impairment and the number of hospitalisations amongst low users of health care. Additionally, our findings suggest a positive association between suffering both impairments at the same time and the number of doctor and GP visits.
Appendix
Available only for authorised users
Footnotes
1
We thank an anonymous reviewer for stressing the importance of emphasising the role of regular physical activity in this hypothesis.
 
2
Due to a relatively high rate of non-response, the imputed values provided in SHARE were used. For simplicity, the average of the imputations provided was used. This simplification does not affect the main results of this paper.
 
Literature
1.
go back to reference Fortin M, Stewart M, Poitras M-E, Almirall J, Maddocks HA. Systematic review of prevalence studies on multimorbidity: toward a more uniform methodology. The. Ann Fam Med. 2012;10(2):142–51.CrossRefPubMedPubMedCentral Fortin M, Stewart M, Poitras M-E, Almirall J, Maddocks HA. Systematic review of prevalence studies on multimorbidity: toward a more uniform methodology. The. Ann Fam Med. 2012;10(2):142–51.CrossRefPubMedPubMedCentral
2.
go back to reference Glynn LG, Valderas JM, Healy P, Burke E, Newell J, Gillespie P, et al. The prevalence of multimorbidity in primary care and its effect on health care utilization and cost. Fam Pract. 2011;28(5):516–23.CrossRefPubMed Glynn LG, Valderas JM, Healy P, Burke E, Newell J, Gillespie P, et al. The prevalence of multimorbidity in primary care and its effect on health care utilization and cost. Fam Pract. 2011;28(5):516–23.CrossRefPubMed
3.
go back to reference Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380(9836):37–43.CrossRefPubMed Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380(9836):37–43.CrossRefPubMed
4.
go back to reference Humes LE, Busey TA, Craig J, Kewley-Port D. Are age-related changes in cognitive function driven by age-related changes in sensory processing? Attention, Perception, & Psychophysics. 2013;75(3):508–24.CrossRef Humes LE, Busey TA, Craig J, Kewley-Port D. Are age-related changes in cognitive function driven by age-related changes in sensory processing? Attention, Perception, & Psychophysics. 2013;75(3):508–24.CrossRef
6.
go back to reference Lin FR, Yaffe K, Xia J, et al. Hearing loss and cognitive decline in older adults. JAMA Intern Med. 2013;173(4):293–9.CrossRefPubMed Lin FR, Yaffe K, Xia J, et al. Hearing loss and cognitive decline in older adults. JAMA Intern Med. 2013;173(4):293–9.CrossRefPubMed
7.
go back to reference Valentijn SAM, Van Boxtel MPJ, Van Hooren SAH, Bosma H, Beckers HJM, Ponds RWHM, et al. Change in sensory functioning predicts change in cognitive functioning: results from a 6-year follow-up in the Maastricht aging study. J Am Geriatr Soc. 2005;53(3):374–80.CrossRefPubMed Valentijn SAM, Van Boxtel MPJ, Van Hooren SAH, Bosma H, Beckers HJM, Ponds RWHM, et al. Change in sensory functioning predicts change in cognitive functioning: results from a 6-year follow-up in the Maastricht aging study. J Am Geriatr Soc. 2005;53(3):374–80.CrossRefPubMed
8.
go back to reference Yamada Y, Denkinger MD, Onder G, Henrard J-C, van der Roest HG, Finne-Soveri H, et al. Dual sensory impairment and cognitive decline: the results from the shelter study. J Gerontol: Series A. 2016;71(1):117–23.CrossRef Yamada Y, Denkinger MD, Onder G, Henrard J-C, van der Roest HG, Finne-Soveri H, et al. Dual sensory impairment and cognitive decline: the results from the shelter study. J Gerontol: Series A. 2016;71(1):117–23.CrossRef
9.
go back to reference Genther DJ, Frick KD, Chen D, Betz J, Lin FR. Association of hearing loss with hospitalization and burden of disease in older adults. JAMA. 2013;309(22):2322–4.CrossRefPubMed Genther DJ, Frick KD, Chen D, Betz J, Lin FR. Association of hearing loss with hospitalization and burden of disease in older adults. JAMA. 2013;309(22):2322–4.CrossRefPubMed
10.
go back to reference Javitt JC, Zhou Z, Willke RJ. Association between Vision Loss and Higher Medical Care Costs in Medicare Beneficiaries: Costs Are Greater for Those with Progressive Vision Loss. Ophthalmology. 2007;114(2):238–45. e1CrossRefPubMed Javitt JC, Zhou Z, Willke RJ. Association between Vision Loss and Higher Medical Care Costs in Medicare Beneficiaries: Costs Are Greater for Those with Progressive Vision Loss. Ophthalmology. 2007;114(2):238–45. e1CrossRefPubMed
11.
go back to reference Xiang X, An R. The impact of cognitive impairment and comorbid depression on disability, health care utilization, and costs. Psychiatr Serv. 2015;66(11):1245–8.CrossRefPubMed Xiang X, An R. The impact of cognitive impairment and comorbid depression on disability, health care utilization, and costs. Psychiatr Serv. 2015;66(11):1245–8.CrossRefPubMed
12.
go back to reference Grossman M. The demand for health: a theoretical and empirical investigation. New York: Columbia University Press of the National Bureau of Economic Research; 1972. Grossman M. The demand for health: a theoretical and empirical investigation. New York: Columbia University Press of the National Bureau of Economic Research; 1972.
13.
go back to reference Grossman M. The Human Capital Model. In: Culyer A, Newhouse J, editors. Handbook of Health Economics. 1A. Amsterdam: Elsevier; 2000. p. 347–408. Grossman M. The Human Capital Model. In: Culyer A, Newhouse J, editors. Handbook of Health Economics. 1A. Amsterdam: Elsevier; 2000. p. 347–408.
14.
go back to reference McGuire A, Henderson J, Mooney G. The economics of health care: an introductory text. London/New York: Routledge & Kegan Paul; 1988. McGuire A, Henderson J, Mooney G. The economics of health care: an introductory text. London/New York: Routledge & Kegan Paul; 1988.
15.
go back to reference Wagstaff A. The demand for health: some new empirical evidence. J Health Econ. 1986;5(3):195–233.CrossRefPubMed Wagstaff A. The demand for health: some new empirical evidence. J Health Econ. 1986;5(3):195–233.CrossRefPubMed
16.
go back to reference Gopinath B, Schneider J, McMahon CM, Burlutsky G, Leeder SR, Mitchell P. Dual sensory impairment in older adults increases the risk of mortality: a population-based study. PLoS One. 2013;8(3):e55054.CrossRefPubMedPubMedCentral Gopinath B, Schneider J, McMahon CM, Burlutsky G, Leeder SR, Mitchell P. Dual sensory impairment in older adults increases the risk of mortality: a population-based study. PLoS One. 2013;8(3):e55054.CrossRefPubMedPubMedCentral
17.
go back to reference Kumagai N, Ogura S. Persistence of physical activity in middle age: a nonlinear dynamic panel approach. Eur J Health Econ. 2014;15(7):717–35.CrossRefPubMed Kumagai N, Ogura S. Persistence of physical activity in middle age: a nonlinear dynamic panel approach. Eur J Health Econ. 2014;15(7):717–35.CrossRefPubMed
18.
go back to reference Börsch-Supan A, Brandt M, Hunkler C, Kneip T, Korbmacher J, Malter F, et al. Data resource profile: the survey of health, ageing and retirement in Europe (SHARE). Int J Epidemiol. 2013;42(4):992–1001.CrossRefPubMedPubMedCentral Börsch-Supan A, Brandt M, Hunkler C, Kneip T, Korbmacher J, Malter F, et al. Data resource profile: the survey of health, ageing and retirement in Europe (SHARE). Int J Epidemiol. 2013;42(4):992–1001.CrossRefPubMedPubMedCentral
19.
go back to reference Dregan A, Gulliford MC. Leisure-time physical activity over the life course and cognitive functioning in late mid-adult years: a cohort-based investigation. Psychol Med. 2013;43(11):2447–58.CrossRefPubMed Dregan A, Gulliford MC. Leisure-time physical activity over the life course and cognitive functioning in late mid-adult years: a cohort-based investigation. Psychol Med. 2013;43(11):2447–58.CrossRefPubMed
21.
go back to reference Bennett IJ, Golob EJ, Parker ES, Starr A. Memory evaluation in mild cognitive impairment using recall and recognition tests. J Clin Exp Neuropsychol. 2006;28(8):1408–22.CrossRefPubMed Bennett IJ, Golob EJ, Parker ES, Starr A. Memory evaluation in mild cognitive impairment using recall and recognition tests. J Clin Exp Neuropsychol. 2006;28(8):1408–22.CrossRefPubMed
22.
23.
go back to reference Simmons BB, Hartmann B, Dejoseph D. Evaluation of suspected dementia. Am Fam Physician. 2011;1(5):9. Simmons BB, Hartmann B, Dejoseph D. Evaluation of suspected dementia. Am Fam Physician. 2011;1(5):9.
24.
go back to reference Whillans J, Nazroo J. Assessment of visual impairment: the relationship between self-reported vision and ‘gold-standard’ measured visual acuity. Br J Vis Impair. 2014;32(3):236–48.CrossRef Whillans J, Nazroo J. Assessment of visual impairment: the relationship between self-reported vision and ‘gold-standard’ measured visual acuity. Br J Vis Impair. 2014;32(3):236–48.CrossRef
25.
go back to reference Andersen RM, Davidson PL. Improving access to care in America. Changing the US health care system: key issues in health services policy and management 3a edición San Francisco: Jossey-Bass. 2007:3–31. Andersen RM, Davidson PL. Improving access to care in America. Changing the US health care system: key issues in health services policy and management 3a edición San Francisco: Jossey-Bass. 2007:3–31.
26.
go back to reference UNESCO. International standard classification of education 1997. New York; 1997. UNESCO. International standard classification of education 1997. New York; 1997.
27.
go back to reference Cameron AC, Trivedi PK. Microeconometrics: methods and applications. New York, USA: Cambridge University Press; 2005.CrossRef Cameron AC, Trivedi PK. Microeconometrics: methods and applications. New York, USA: Cambridge University Press; 2005.CrossRef
28.
go back to reference Deb P, Trivedi Pravin K. Finite Mixture for Panels with Fixed Effects. J Econometric Methods. 2013:35. Deb P, Trivedi Pravin K. Finite Mixture for Panels with Fixed Effects. J Econometric Methods. 2013:35.
29.
go back to reference Chamberlain G. Multivariate regression models for panel data. J Econ. 1982;18(1):5–46.CrossRef Chamberlain G. Multivariate regression models for panel data. J Econ. 1982;18(1):5–46.CrossRef
30.
go back to reference Mundlak Y. On the pooling of time series and cross section data. Econometrica. 1978;46(1):69–85.CrossRef Mundlak Y. On the pooling of time series and cross section data. Econometrica. 1978;46(1):69–85.CrossRef
31.
go back to reference Cameron AC, Trivedi PK. Count panel data. In: Baltagi B, editor. The Oxford handbook of panel data. Oxford, UK: Oxford University Press; 2013. Cameron AC, Trivedi PK. Count panel data. In: Baltagi B, editor. The Oxford handbook of panel data. Oxford, UK: Oxford University Press; 2013.
32.
go back to reference Hausman J, Hall BH, Griliches Z. Econometric models for count data with an application to the Patents-R & D Relationship. Econometrica. 1984;52(4):909–38.CrossRef Hausman J, Hall BH, Griliches Z. Econometric models for count data with an application to the Patents-R & D Relationship. Econometrica. 1984;52(4):909–38.CrossRef
33.
go back to reference Wooldridge JM. Correlated random effects models with unbalanced panels. Manuscript Michigan State University 2010. Wooldridge JM. Correlated random effects models with unbalanced panels. Manuscript Michigan State University 2010.
34.
go back to reference Gurmu S. Semi-parametric estimation of hurdle regression models with an application to Medicaid utilization. J Appl Econ. 1997;12(3):225–42.CrossRef Gurmu S. Semi-parametric estimation of hurdle regression models with an application to Medicaid utilization. J Appl Econ. 1997;12(3):225–42.CrossRef
35.
go back to reference Deb P, Trivedi PK. Demand for medical care by the elderly: a finite mixture approach. J Appl Econ. 1997;12(3):313–36.CrossRef Deb P, Trivedi PK. Demand for medical care by the elderly: a finite mixture approach. J Appl Econ. 1997;12(3):313–36.CrossRef
36.
go back to reference Deb P, Trivedi PK. The structure of demand for health care: latent class versus two-part models. J Health Econ. 2002;21(4):601–25.CrossRefPubMed Deb P, Trivedi PK. The structure of demand for health care: latent class versus two-part models. J Health Econ. 2002;21(4):601–25.CrossRefPubMed
37.
go back to reference Bago d’Uva T. Latent class models for use of primary care: evidence from a British panel. Health Econ. 2005;14(9):873–92.CrossRefPubMed Bago d’Uva T. Latent class models for use of primary care: evidence from a British panel. Health Econ. 2005;14(9):873–92.CrossRefPubMed
38.
go back to reference Jones AM, Rice N, d'Uva TB, Balia S. Applied health economics. New York, USA: Routledge; 2013. Jones AM, Rice N, d'Uva TB, Balia S. Applied health economics. New York, USA: Routledge; 2013.
39.
go back to reference StataCorp. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP; 2014. StataCorp. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP; 2014.
40.
go back to reference Karaca-Mandic P, Norton EC, Dowd B. Interaction Terms in Nonlinear Models. Health Services Research. 2012;47(1pt1):255–74.CrossRefPubMed Karaca-Mandic P, Norton EC, Dowd B. Interaction Terms in Nonlinear Models. Health Services Research. 2012;47(1pt1):255–74.CrossRefPubMed
41.
go back to reference Walsh EG, Wu B, Mitchell JB, Berkmann LF. Cognitive function and acute care utilization. J Gerontol: Series B. 2003;58(1):S38–49.CrossRef Walsh EG, Wu B, Mitchell JB, Berkmann LF. Cognitive function and acute care utilization. J Gerontol: Series B. 2003;58(1):S38–49.CrossRef
42.
go back to reference Hudson E, Nolan A. Public healthcare eligibility and the utilisation of GP services by older people in Ireland. J Econ Ageing. 2015;6:24–43.CrossRef Hudson E, Nolan A. Public healthcare eligibility and the utilisation of GP services by older people in Ireland. J Econ Ageing. 2015;6:24–43.CrossRef
43.
go back to reference Ilinca S, Calciolari S. The patterns of health care utilization by elderly Europeans: frailty and its implications for health systems. Health Serv Res. 2015;50(1):305–20.CrossRefPubMed Ilinca S, Calciolari S. The patterns of health care utilization by elderly Europeans: frailty and its implications for health systems. Health Serv Res. 2015;50(1):305–20.CrossRefPubMed
44.
go back to reference Schmitz H. More health care utilization with more insurance coverage? Evidence from a latent class model with German data. Appl Econ. 2012;44(34):4455–68.CrossRef Schmitz H. More health care utilization with more insurance coverage? Evidence from a latent class model with German data. Appl Econ. 2012;44(34):4455–68.CrossRef
45.
go back to reference Solé-Auró A, Guillén M, Crimmins EM. Health care usage among immigrants and native-born elderly populations in eleven European countries: results from SHARE. Eur J Health Econ. 2012;13(6):741–54.CrossRefPubMed Solé-Auró A, Guillén M, Crimmins EM. Health care usage among immigrants and native-born elderly populations in eleven European countries: results from SHARE. Eur J Health Econ. 2012;13(6):741–54.CrossRefPubMed
Metadata
Title
Health care utilisation amongst older adults with sensory and cognitive impairments in Europe
Authors
David G. Lugo-Palacios
Brenda Gannon
Publication date
01-12-2017
Publisher
Springer Berlin Heidelberg
Published in
Health Economics Review / Issue 1/2017
Electronic ISSN: 2191-1991
DOI
https://doi.org/10.1186/s13561-017-0183-1

Other articles of this Issue 1/2017

Health Economics Review 1/2017 Go to the issue