Literature DB >> 8189774

Comparisons of the costs and quality of norms for the SF-36 health survey collected by mail versus telephone interview: results from a national survey.

C A McHorney1, M Kosinski, J E Ware.   

Abstract

Many health status surveys have been designed for mail, telephone, or in-person administration. However, with rare exception, investigators have not studied the effect the survey mode of administration has on the way respondents assess their health and other important parameters (such as response rates, nonresponse bias, and data quality), which can affect the generalizability of results. Using a national sampling frame of noninstitutionalized adults from the General Social Survey, we randomly assigned adults to a mail survey (80%) or a computer-assisted telephone survey (20%). The surveys were designed to provide national norms for the SF-36 Health Survey. Total data collection costs per case for the telephone survey ($47.86) were 77% higher than that for the mail survey ($27.07). A significantly higher response rate was achieved among respondents randomly assigned to the mail (79.2%) than telephone survey (68.9%). Nonresponse bias was evident in both modes but, with the exception of age, was not differential between modes. The rate of missing responses was higher for mail than telephone respondents (1.59 vs. 0.49 missing items). Health ratings based on the SF-36 scales were less favorable, and reports of chronic conditions were more frequent, for mail than telephone respondents. Results are discussed in light of the trade-offs involved in choosing a survey methodology for health status assessment applications. Norms for mail and telephone versions of the SF-36 survey are provided for use in interpreting individual and group scores.

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Mesh:

Year:  1994        PMID: 8189774     DOI: 10.1097/00005650-199406000-00002

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  122 in total

1.  Heritability of self-reported health.

Authors:  J C Romeis; J F Scherrer; H Xian; S A Eisen; K Bucholz; A C Heath; J Goldberg; M J Lyons; W G Henderson; W R True
Journal:  Health Serv Res       Date:  2000-12       Impact factor: 3.402

2.  The Short Form 36 (SF-36) Health Survey: normative data for the Irish population.

Authors:  C Blake; M B Codd; Y M O'Meara
Journal:  Ir J Med Sci       Date:  2000 Jul-Sep       Impact factor: 1.568

Review 3.  A comparative review of generic quality-of-life instruments.

Authors:  S J Coons; S Rao; D L Keininger; R D Hays
Journal:  Pharmacoeconomics       Date:  2000-01       Impact factor: 4.981

4.  The SF-12 as a population health measure: an exploratory examination of potential for application.

Authors:  J N Burdine; M R Felix; A L Abel; C J Wiltraut; Y J Musselman
Journal:  Health Serv Res       Date:  2000-10       Impact factor: 3.402

5.  Randomized testing of alternative survey formats using anonymous volunteers on the World Wide Web.

Authors:  D S Bell; C M Mangione; C E Kahn
Journal:  J Am Med Inform Assoc       Date:  2001 Nov-Dec       Impact factor: 4.497

6.  Physical therapy and chiropractic use among childhood cancer survivors with chronic disease: impact on health-related quality of life.

Authors:  Michele Montgomery; Sujuan Huang; Cheryl L Cox; Wendy M Leisenring; Kevin C Oeffinger; Melissa M Hudson; Jill Ginsberg; Gregory T Armstrong; Leslie L Robison; Kirsten K Ness
Journal:  J Cancer Surviv       Date:  2010-10-05       Impact factor: 4.442

7.  Fatigue in the Danish general population. Influence of sociodemographic factors and disease.

Authors:  T Watt; M Groenvold; J B Bjorner; V Noerholm; N A Rasmussen; P Bech
Journal:  J Epidemiol Community Health       Date:  2000-11       Impact factor: 3.710

8.  National health surveys by mail or home interview: effects on response.

Authors:  H S Picavet
Journal:  J Epidemiol Community Health       Date:  2001-06       Impact factor: 3.710

9.  An electronic clinic for arthroplasty follow-up: a pilot study.

Authors:  Gavin Wood; Douglas Naudie; Steve MacDonald; Richard McCalden; Robert Bourne
Journal:  Can J Surg       Date:  2011-12       Impact factor: 2.089

10.  Unilateral visual impairment and health related quality of life: the Blue Mountains Eye Study.

Authors:  E-M Chia; P Mitchell; E Rochtchina; S Foran; J J Wang
Journal:  Br J Ophthalmol       Date:  2003-04       Impact factor: 4.638

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