Information de reference pour ce titreAccession Number: | 00005650-200707000-00013.
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Author: | Russell, Louise B. PhD *; Ibuka, Yoko MA, ABD *; Abraham, Katharine G. PhD +
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Institution: | From the *Institute for Health and Department of Economics, Rutgers University, New Brunswick, New Jersey; and +Joint Program in Survey Methodology, University of Maryland, College Park, Maryland.
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Title: | |
Source: | Medical Care. 45(7):680-685, July 2007.
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Abstract: | Objectives: The Bureau of Labor Statistics' American Time Use Survey (ATUS), launched in 2003, offers the first comprehensive look at how individuals spend their time. Health services researchers can use it to study time spent on a variety of health-related activities. We explain the survey's structure and provide an overview of the health-related activities reported by 34,693 respondents in 2003-2004.
Methods: For the ATUS, computer-assisted phone interviewers ask respondents age 15 or older to report their activities during the day before the call (their "designated day"), including where they were and who was with them. Activities are assigned 6-digit codes, grouped into 17 major categories. Associated waiting and travel time have separate codes. Certain household types are oversampled to ensure reliable estimates.
Results: In 2003-2004, 11.3% of American adults reported spending time (mean, 108 minutes) on activities related to health on their designated day. Some 5.6% reported personal health self-care (86 minutes); 3.4% reported medical and care services (123 minutes); and about 1% each reported activities related to the health of household children, household adults, and nonhousehold adults (78-115 minutes). The prevalence of health-care related activities rose with age. Sports, exercise, and recreation were reported by 17.6% of respondents (114 minutes), with men more likely than women to report these activities.
Conclusions: The ATUS, a new publicly available resource, allows researchers to explore factors that influence time devoted to health-related activities, and the relationships among them and other activities, in a nationally representative sample.
(C) 2007 Lippincott Williams & Wilkins, Inc.
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Author Keywords: | American Time Use Survey; cost and cost analysis; health services research; patient time.
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References: | 1. Juster FT, Stafford FP. The allocation of time: empirical findings, behavioral models, and problems of measurement. J Econ Lit. 1991;29(June):471-522.
2. Lyman GH. Time is money for both the healthy and the sick. Med Care. 2005;43:637-639.
3. Yabroff KR, Warren JL, Knopf K, et al. Estimating patient time costs associated with colorectal cancer care. Med Care. 2005;43:640-648.
4. Cantor SB, Levy LB, Cardenas-Turanzas M, et al. Collecting direct non-health care and time cost data: application to screening and diagnosis of cervical cancer. Med Decis Making. 2006;26:265-272.
5. Attard NJ, Zarb GA, Laporte A. Long-term treatment costs associated with implant-supported mandibular prostheses in edentulous patients. Int J Prosthodont. 2005;18:117-123.
6. Russell LB, Suh D-C, Safford MM. Time requirements for diabetes self-management: too much for many? J Fam Pract. 2005;54:52-56.
7. Salome HJ, French MT, Miller M, et al. Estimating the client costs of addiction treatment: first findings from the client drug abuse treatment cost analysis program (Client DATCAP). Drug Alcohol Depend. 2003;71:195-206.
8. Robbins JM, Tilford JM, Gillaspy SR, et al. Parental emotional and time costs predict compliance with respiratory syncytial virus prophylaxis. Ambul Pediatr. 2002;2:444-448.
9. Lawrence WF, Peshkin BN, Liang W, et al. Cost of genetic counseling and testing for BRCA1 and BRCA2 breast cancer susceptibility mutations. Cancer Epidemiol Biomarkers Prev. 2001;10:475-481.
10. Shireman TI, Tsevat J, Goldie SJ. Time costs associated with cervical cancer screening. Int J Technol Assess Health Care. 2001;17:146-152.
11. Bech M, Gyrd-Hansen D. Cost implications of routine mammography screening of women 50-69 years in the county of Funen, Denmark. Health Policy. 2000;54:125-141.
12. Sculpher M, Palmer MK, Heyes A. Costs incurred by patients undergoing advanced colorectal cancer therapy: a comparison of raltitrexed and fluorouracil plus folinic acid. Pharmacoeconomics. 2000;17:361-370.
13. Frew E, Wolstenholme JL, Atkin W, et al. Estimating time and travel costs incurred in clinic based screening: flexible sigmoidoscopy screening for colorectal cancer. J Med Screen. 1999;6:119-125.
14. Secker-Walker RH, Vacek PM, Hooper GJ, et al. Screening for breast cancer: time, travel, and out-of-pocket expenses. J Natl Cancer Inst. 1999;91:702-708.
15. Stringer M. Personal costs associated with high-risk prenatal care attendance. J Health Care Poor Underserved. 1998;9:222-235.
16. Cromwell J, Bartosch WJ, Fiore MC, et al. Cost-effectiveness of the clinical practice recommendations in the AHCPR guideline for smoking cessation. JAMA. 1997;278:1759-1766.
17. Bryan S, Buxton M, McKenna M, et al. Private costs associated with abdominal aortic aneurysm screening: the importance of private travel and time costs. J Med Screen. 1995;2:62-66.
18. American Time Use Survey User's Guide. Bureau of Labor Statistics and US Census Bureau, July 2006. Available at: http://www.bls.gov/tus/atususers...- ouverture dans une nouvelle fenêtre. Accessed October 29, 2006.
19. Horrigan M, Herz D. Planning, designing, and executing the BLS American Time-Use Survey. Mon Labor Rev. 2004;127(October):3-19.
20. Abraham KG, Maitland A, Bianchi S. Nonresponse in the American Time Use Survey: who is missing from the data and how much does it matter? Public Opin Q. 2006;70(Special Issue):676-703.
21. Bureau of Labor Statistics. American Time Use Survey-2004 results announced by BLS. Press release September 20, 2005. Available at: http://www.bls.gov/tus/home- ouverture dans une nouvelle fenêtre. Accessed December 15, 2005.
22. Shelley KJ. Developing the American Time Use Survey activity classification system. Mon Labor Rev. 2005;128(June):3-15.
23. American Time Use Survey Coding Lexicon: with activity examples-2004. Bureau of Labor Statistics. Available at: http://www.bls.gov/tus/lexicons....- ouverture dans une nouvelle fenêtre. Accessed October 29, 2006.
24. Fay RE. Theoretical application of weighting for variance calculation. Proceedings of the Section on Survey Research of the American Statistical Association. Washington, DC: American Statistical Association; 1989:212-217.
25. Current Population Survey. Design and Methodology. Washington, DC: US Census Bureau; 2002: Chapter 14. Technical paper 63RV.
26. Abraham KG, Mackie CJ, eds. Beyond the Market. Washington, DC: National Academies Press; 2005.
27. Gold MR, Siegel JE, Russell LB, et al, eds. Cost-Effectiveness in Health and Medicine. New York, NY: Oxford University Press; 1996.
28. Gilchrist VJ, Stange KC, Flocke SA, et al. A comparison of the National Ambulatory Medical Care Survey (NAMCS) measurement approach with direct observation of outpatient visits. Med Care. 2004;42:276-280.
29. Hu P, Reuben DB. Effects of managed care on the length of time that elderly patients spend with physicians during ambulatory visits. Med Care. 2002;40:606-613.
30. Thakur N. Do you have time to exercise? A time-use analysis of how people who do not exercise spend their time. Chicago Center of Excellence in Health Promotion Economics, University of Chicago; 2006.
31. Bureau of Labor Statistics. Frequently used variables: American Time Use Survey (ATUS), September 2005. Available at: http://www.bls.gov/tus/freqvaria...- ouverture dans une nouvelle fenêtre. Accessed October 29, 2006.
32. Dinges DF, Fomberstein KM, William JH, et al. Time use for sleeping in relation to waking activities. American Time Use Survey (ATUS) Early Results Conference, Bethesda, MD, December 8-9, 2005. Available at: http://www.atususers.umd.edu/pap...- ouverture dans une nouvelle fenêtre. Accessed May 9, 2006.
33. Hamrick K, Andrews M, Guthrie J. The food and eating module of the American Time Use Survey. American Time Use Survey (ATUS) Early Results Conference, Bethesda, MD, December 8-9, 2005. Available at: http://www.atususers.umd.edu/pap...- ouverture dans une nouvelle fenêtre. Accessed May 9, 2006.
34. Bjorner J, Fayers P, Idler E. Self-rated health. In: Fayers P, Hays R, eds. Assessing Quality of Life in Clinical Trials. 2nd Ed. New York, NY: Oxford University Press; 2005:309-323.
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Language: | English.
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Document Type: | Brief Report.
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Journal Subset: | Clinical Medicine. Behavioral & Social Sciences.
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ISSN: | 0025-7079
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NLM Journal Code: | 0230027, lsm
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DOI Number: | https://dx.doi.org/10.1097/MLR.0...- ouverture dans une nouvelle fenêtre
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