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1.
Eye (Lond) ; 26(10): 1295-301, 2012 Oct.
Article in English | MEDLINE | ID: mdl-22766537

ABSTRACT

PURPOSE: Glaucoma is an important disease, the impacts of which on vision have been shown to have implications for patients' health-related quality of life (HRQoL). The primary aim of this study is to estimate a mapping algorithm to predict EQ-5D and SF-6D utility values based on the vision-specific measure, the 25-item Visual Functioning Questionnaire (VFQ-25), as well as the clinical measures of visual function, that is, integrated visual field, visual acuity, and contrast sensitivity. METHODS: Ordinary least squares (OLS), Tobit, and censored least absolute deviations were compared using data taken from the Moorfields Eye Hospital in London, to assess mapping functions to predict the EQ-5D and SF-6D from the VFQ-25, and tests of visual function. These models were compared using root mean square error (RMSE), R(2), and mean absolute error (MAE). RESULTS: OLS was the best-performing model of the three compared, as this produced the lowest RMSE and MAE, and the highest R(2). CONCLUSIONS: The models provided initial algorithms to convert the VFQ-25 to the EQ-5D and SF-6D. Further analysis would be needed to validate the models or algorithms.


Subject(s)
Contrast Sensitivity/physiology , Glaucoma, Open-Angle/physiopathology , Quality-Adjusted Life Years , Sickness Impact Profile , Visual Acuity/physiology , Visual Fields/physiology , Adult , Aged , Aged, 80 and over , Algorithms , Female , Health Status Indicators , Humans , Male , Middle Aged , Quality of Life , Self Report , Severity of Illness Index , Surveys and Questionnaires
2.
Eye (Lond) ; 26(7): 967-71, 2012 Jul.
Article in English | MEDLINE | ID: mdl-22562188

ABSTRACT

INTRODUCTION: We have established one model for community care of glaucoma clinic patients. Community optometrists received training and accreditation in glaucoma care. Once qualified they alternated between running half day glaucoma clinics in their own High Street practices and assisting in a hospital-based glaucoma clinic session. This paper reports the cost of this model. METHODS: Micro-costing was undertaken for the hospital clinic. A consensus meeting was held to agree costs for community clinics involving all optometrists in the project along with representatives of the multiple chain optometry practices who had participated. Costs to patients both indirect and direct were calculated following structured interviews of 197 patients attending hospital clinics and 194 attending community clinics. RESULTS: The estimated cost per patient attendance to the hospital clinic was £63.91 and the estimated cost per attendance to the community clinic was £145.62. For patients the combined direct and indirect cost to attend the hospital clinic was £6.15 and the cost to attend the community clinic £5.91. DISCUSSION: The principal reason for the higher cost in the community clinic was higher overhead costs in the community. Re-referral to the hospital system only occurred for 9% of patients and was not a large contribution to the increased cost. Time requested to next appointment was similar for the two clinics. Sensitivity analysis shows a strong effect of increasing patients seen per clinic. It would, however, require 25 patients to be seen per clinician per day in the community in order to make the costs comparable.


Subject(s)
Community Health Services/economics , Glaucoma/economics , Health Care Costs , Optometry/economics , Outpatient Clinics, Hospital/economics , Cost of Illness , England , Female , Glaucoma/therapy , Humans , Longitudinal Studies , Male , Optometry/education
3.
Eye (Lond) ; 24(6): 999-1005, 2010 Jun.
Article in English | MEDLINE | ID: mdl-19960038

ABSTRACT

AIM: To investigate the costs to patients attending hospital-based glaucoma clinics. METHODS: A patient-based costs questionnaire was developed and completed for patients attending six ophthalmology units across London (Ealing General Hospital, St Georges Hospital, Mile End Hospital, Upney Centre Barking, St Ann's Hospital and the Royal London Hospital). The questionnaire considered age, sex, ethnicity as well as patient-based costs, opportunity costs, and companion costs. All patients visiting for review or appointments were approached non-selectively. A total of 100 patients were sampled from each unit. RESULTS: The mean age of the full sample was 69.6 years (SD 12.6), with little variation between sites (68.5-71.8 years). There was an almost equal sex distribution (male (298 (50.6%)). There was no major difference in occupational distribution between sites. The majority of people came to hospital by bus (40%) or car (26%). Female patients went slightly more by cab or car, whereas male patients went slightly more by foot or train. There was some variability in transport method by site. The data showed that the Royal London hospital had the highest mean cost per visit (pound16.20), whereas St Georges had the lowest (pound12.90). Upney had the second highest mean cost per visit (pound15.20), whereas Ealing and St Ann's had similar mean costs of (pound13.25) and (pound13), respectively. Travel costs accounted for about one-fifth of the total patient's costs. For all glaucoma clinics, total societal costs were higher than the sum of patients' costs because of the high frequency of companions. A surprising finding was that two-thirds of the population (392 or 66.6%) reported no qualification-considerably higher than the national census statistics for the same population. CONCLUSIONS: To our knowledge this paper presents direct and indirect patient costs in attending hospital glaucoma units for the first time. It highlights the significance of opportunity costs when considering health-care interventions as they amount to a third or more of the total costs of patient attendances to clinics.


Subject(s)
Glaucoma/economics , Health Expenditures , Outpatient Clinics, Hospital/economics , Aged , Aged, 80 and over , Cost of Illness , Female , Humans , London , Male , Middle Aged , Surveys and Questionnaires , Transportation/economics , Transportation/statistics & numerical data , Travel/economics
4.
Health Care Manag Sci ; 3(1): 51-71, 2000 Jan.
Article in English | MEDLINE | ID: mdl-10996976

ABSTRACT

This paper analyzes the effect of waiting times in the Spanish public health system on the demand for private health insurance. Expected utility maximization determines whether or not individuals buy a private health insurance. The decision depends not only on consumer's covariates such as income, socio-demographic characteristics and health status, but also on the quality of the treatment by the public provider. We interpret waiting time as a qualitative attribute of the health care provision. The empirical analysis uses the Spanish Health Survey of 1993. We cope with the absence of income data by using the Spanish Family Budget Survey of 1990-91 as a complementary data set, following the Arellano-Meghir method [4]. Results indicate that a reduction in the waiting time lowers the probability of buying private health insurance. This suggests the existence of a crowd-out in the health care provision market.


Subject(s)
Health Services Needs and Demand/economics , Insurance Coverage/statistics & numerical data , Private Sector/statistics & numerical data , Public Health Administration/economics , Waiting Lists , Adult , Aged , Attitude to Health , Child , Female , Health Care Surveys , Health Services Needs and Demand/statistics & numerical data , Health Status , Humans , Income , Male , Marketing of Health Services , Medically Uninsured/statistics & numerical data , Middle Aged , Models, Econometric , Quality of Health Care , Socioeconomic Factors , Spain , Time Factors
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