OBJECTIVE: To investigate the relationship between cognitive impairment, measured with the Mini Mental State Examination (MMSE), and the cost of care. DESIGN: The study uses data from the Kungsholmen project, a population-based study in Sweden in which people 75 years and older were observed over time. The initial study population (n = 1810) was divided into 4 health states based on the MMSE. A Markov model was constructed from the transition probabilities between different states between the first and second phases of the study. The expected cost of cognitive impairment for a period of 10 years was estimated for the cohort of patients studied. MAIN OUTCOME MEASURES AND RESULTS: There was a strong correlation between cognitive impairment in terms of the MMSE and the annual cost of care. A multivariate statistical analysis showed that a decrease in the MMSE by 1 point was associated with an increase in the cost of care of 15,000 Swedish kronor (SEK) [$US2000; 1995 values]. CONCLUSIONS: The results show that large savings are possible if the decline in cognitive functioning can be prevented. The model developed can be used to estimate the impact on cost of care of treatments which reduce the cognitive decline in patients with Alzheimer's disease.
OBJECTIVE: To investigate the relationship between cognitive impairment, measured with the Mini Mental State Examination (MMSE), and the cost of care. DESIGN: The study uses data from the Kungsholmen project, a population-based study in Sweden in which people 75 years and older were observed over time. The initial study population (n = 1810) was divided into 4 health states based on the MMSE. A Markov model was constructed from the transition probabilities between different states between the first and second phases of the study. The expected cost of cognitive impairment for a period of 10 years was estimated for the cohort of patients studied. MAIN OUTCOME MEASURES AND RESULTS: There was a strong correlation between cognitive impairment in terms of the MMSE and the annual cost of care. A multivariate statistical analysis showed that a decrease in the MMSE by 1 point was associated with an increase in the cost of care of 15,000 Swedish kronor (SEK) [$US2000; 1995 values]. CONCLUSIONS: The results show that large savings are possible if the decline in cognitive functioning can be prevented. The model developed can be used to estimate the impact on cost of care of treatments which reduce the cognitive decline in patients with Alzheimer's disease.
Authors: A Hofman; W A Rocca; C Brayne; M M Breteler; M Clarke; B Cooper; J R Copeland; J F Dartigues; A da Silva Droux; O Hagnell Journal: Int J Epidemiol Date: 1991-09 Impact factor: 7.196
Authors: L Fratiglioni; M Grut; Y Forsell; M Viitanen; M Grafström; K Holmén; K Ericsson; L Bäckman; A Ahlbom; B Winblad Journal: Neurology Date: 1991-12 Impact factor: 9.910
Authors: K Érsek; T Kovács; A Wimo; K Kárpati; V Brodszky; M Péntek; L Jönsson; A Gustavsson; D McDaid; P A Kenigsberg; H Valtonen; L Gulácsi Journal: J Nutr Health Aging Date: 2010-10 Impact factor: 4.075
Authors: Timothy D Girard; James C Jackson; Pratik P Pandharipande; Brenda T Pun; Jennifer L Thompson; Ayumi K Shintani; Sharon M Gordon; Angelo E Canonico; Robert S Dittus; Gordon R Bernard; E Wesley Ely Journal: Crit Care Med Date: 2010-07 Impact factor: 7.598
Authors: Cynthia L Leibson; Kirsten Hall Long; Jeanine E Ransom; Rosebud O Roberts; Steven L Hass; Amy M Duhig; Carin Y Smith; Jane A Emerson; V Shane Pankratz; Ronald C Petersen Journal: Alzheimers Dement Date: 2015-04-06 Impact factor: 21.566
Authors: Sharon K Inouye; Ying Zhang; Ling Han; Linda Leo-Summers; Richard Jones; Edward Marcantonio Journal: J Gen Intern Med Date: 2006-09-11 Impact factor: 5.128
Authors: J McDonnell; W K Redekop; N van der Roer; E Goes; A Ruitenberg; J J Busschbach; M M Breteler; F F Rutten Journal: Pharmacoeconomics Date: 2001 Impact factor: 4.981