Validity of the SF-12 for use in a low-income African American community-based research initiative (REACH 2010)

Celia O Larson, David Schlundt, Kushal Patel, Katina Beard, Margaret Hargreaves, Celia O Larson, David Schlundt, Kushal Patel, Katina Beard, Margaret Hargreaves

Abstract

Introduction: The objective of our study was to assess the psychometric properties of the Medical Outcomes Study's 12-Item Short Form Survey Instrument (SF-12) for use in a low-income African American community. The SF-12, a commonly used functional health status assessment, was developed based on responses of an ethnically homogeneous sample of whites. Our assessment addressed the appropriateness of the instrument for establishing baseline indicators for mental and physical health status as part of Nashville, Tennessee's, Racial and Ethnic Approaches to Community Health (REACH) 2010 initiative, a community-based participatory research study.

Methods: A cross-sectional random residential sample of 1721 African Americans responded to a telephone survey that included the SF-12 survey items and other indicators of mental and physical health status. The SF-12 was assessed by examining item-level characteristics, estimates of scale reliability (internal consistency), and construct validity.

Results: Construct validity assessed by the method of extreme groups determined that SF-12 summary scores varied for individuals who differed in self-reported medical conditions. Convergent and discriminate validity assessed by multitrait analysis yielded satisfactory coefficients. Concurrent validity was also shown to be satisfactory, assessed by correlating SF-12 summary scores with independent measures of physical and mental health status.

Conclusion: The SF-12 appears to be a valid measure for assessing health status of low-income African Americans.

References

    1. Ware J, Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34(3):220–233.
    1. Ware JE. How to score the SF-12 Physical and Mental Health Summary Scales. 3rd ed. Boston (MA): The Health Institute, New England Medical Center; 1998.
    1. Luo X, Lynn George M, Kakouras I, Edwards CL, Pietrobon R, Richardson W, et al. Reliability, validity, and responsiveness of the short form 12-item survey (SF-12) in patients with back pain. Spine. 2003;28(15):1739–1745.
    1. Arif AA, Rohrer JE, Delclos GL. A population-based study of asthma, quality of life, and occupation among elderly Hispanic and non-Hispanic whites: a cross-sectional investigation. BMC Public Health. 2005;5:97.
    1. Maurischat C, Ehlebracht-König I, Kühn A, Bullinger M. Factorial validity and norm data comparison of the Short Form 12 in patients with inflammatory-rheumatic disease. Rheumatol Int . 2006;26(7):614–621.
    1. van der Waal JM, Terwee CB, van der Windt DA, Bouter LM, Dekker J. The impact of non-traumatic hip and knee disorders on health-related quality of life as measured with the SF-36 or SF-12. A systematic review. Qual Life Res. 2005;14(4):1141–1155.
    1. Salyers MP, Bosworth HB, Swanson JW, Lamb-Pagone J, Osher FC. Reliability and validity of the SF-12 health survey among people with severe mental illness. Med Care. 2000;38(11):1141–1150.
    1. King JT, Jr, Horowitz MB, Kassam AB, Yonas H, Roberts MS. The short form-12 and the measurement of health status in patients with cerebral aneurysms: performance, validity, and reliability. J Neurosurg. 2005;102(3):489–494.
    1. Johnson JA, Maddigan SL. Performance of the RAND-12 and SF-12 summary scores in type 2 diabetes. Qual Life Res. 2004;13(2):449–456.
    1. Hoffmann C, McFarland BH, Kinzie JD, Bresler L, Rakhlin D, Wolf S, et al. Psychometric properties of a Russian version of the SF-12 Health Survey in a refugee population. Compr Psychiatry. 2005;46(5):390–397.
    1. Lam CL, Tse EY, Gandek B. Is the standard SF-12 health survey valid and equivalent for a Chinese population? Qual Life Res. 2005;14(2):539–547.
    1. Jones D, Kazis L, Lee A, Rogers W, Skinner K, Cassar L, et al. Health status assessments using the Veterans SF-12 and SF-36: methods for evaluating outcomes in the Veterans Health Administration. J Ambul Care Manage. 2001;24(3):68–86.
    1. Resnick B, Nahm ES. Reliability and validity testing of the revised 12-item Short-Form Health Survey in older adults. J Nurs Meas. 2001;9(2):151–161.
    1. Gandek B, Ware JE, Aaronson NK, Apolone G, Bjorner JB, Brazier JE, et al. Cross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: results from the IQOLA Project. International Quality of Life Assessment. J Clin Epidemiol. 1998;51(11):1171–1178.
    1. Lubetkin EI, Gold MR. Comprehensibility of measures of health-related quality of life in minority and low-income patients. J Natl Med Assoc. 2002;94(5):327–335.
    1. Burdine JN, Felix MR, Abel AL, Wiltraut CJ, Musselman YJ. The SF-12 as a population health measure: an exploratory examination of potential for application. Health Serv Res. 2000;35(4):885–904.
    1. Fleishman JA, Lawrence WF. Demographic variation in SF-12 scores: true differences or differential item functioning? Med Care. 2003;41(7 Suppl):III75–III86.
    1. Kodraliu G, Mosconi P, Groth N, Carmosino G, Perilli A, Gianicolo EA, et al. Subjective health status assessment: evaluation of the Italian version of the SF-12 Health Survey. Results from the MiOS Project. J Epidemiol Biostat. 2001;6(3):305–316.
    1. Amir M, Lewin-Epstein N, Becker G, Buskila D. Psychometric properties of the SF-12 (Hebrew version) in a primary care population in Israel. Med Care. 2002;40(10):918–928.
    1. Jenkinson C, Chandola T, Coulter A, Bruster S. An assessment of the construct validity of the SF-12 summary scores across ethnic groups. J Public Health Med. 2001;23(3):187–194.
    1. Jacobson JW, McNutt RA. mplementing the SF-12 in an inner-city clinic: the importance of providing help. Int J Qual Health Care. 1998;10(4):355–356.
    1. Franks P, Lubetkin EI, Gold MR, Tancredi DJ. Mapping the SF-12 to preference-based instruments: convergent validity in a low-income, minority population. Med Care. 2003;41(11):1277–1283.
    1. Hays RD, Anderson R, Revicki D. Psychometric considerations in evaluating health-related quality of life measures. Qual Life Res. 1993;2(6):441–449.
    1. Creating partnerships, improving health: the role of community-based participatory research. Rockville (MD): U.S. Department of Health and Human Services, Agency for Healthcare Research and Quality; 2003.
    1. Lillie-Blanton M, Hoffman SC. Conducting an assessment of health needs and resources in a racial/ethnic minority community. Health Serv Res. 1995;30(1 Pt 2):225–236.
    1. McClellan L, Schlundt D. Overview of Nashville REACH 2010's approach to eliminating disparities in diabetes and cardiovascular disease. J Ambul Care Manage. 2006;29(2):106–111.
    1. Census 2000 Summary File 1 (SF 1), 100-percent data: quick tables. Washington (DC): U.S. Census Bureau; .
    1. Spritzer K. Hayspowe.sas: Hays' power macro written in SAS. Hays' power macro written in SAS. Ron Hays; 2004. .
    1. Oldendick RW, Bishop GF, Sorenson SB, Tuchfarber AJ. A comparison of the Kish and last birthday methods of respondent selection in telephone surveys. J Off Stat 1988;4(4):307–318.
    1. Streiner D, Norman G. Health measurement scales. 2nd ed. New York (NY): Oxford University Press; 1995.
    1. Hays RD, Wang E. Multitrait Scaling Program: MULTI. Proceeding of the 17th Annual SAS Users Group International Conference.Baltimore, MD. 1992 April; 1992.
    1. National diabetes statistics fact sheet: general information and national estimates on diabetes in the United States, 2005. Bethesda (MD): National Institute of Diabetes and Digestive and Kidney Diseases; 2005.
    1. Ware JE, Kosinski M, Keller SD. SF-36 physical and mental summary scales: a user's manual. Boston (MA): The Health Institute; 1994.
    1. McHorney CA, Ware JE, Jr, Lu JF, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care. 1994;32(1):40–66.
    1. McHorney CA, Kosinski M, Ware JE., Jr 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. Med Care. 1994;32(6):551–567.
    1. Fredrickson DD, Jones TL, Molgaard CA, Carman CG, Schukman J, Dismuke SE, et al. Optimal design features for surveying low-income populations. J Health Care Poor Underserved. 2005;16(4):677–690.
    1. Johnson TP, Cho YIK, Campbell RT, Holbrook AL. Using community-level correlates to evaluate nonresponse effects in a telephone survey. Public Opin Q 2006;70(5):704–719.
    1. Keeter S, Kennedy C, Dimock M, Best J, Craighill P. Gauging the impact of growing nonresponse on estimates from a national RDD telephone survey. Public Opin Q 2006;70(5):759–779.
    1. Beebe TJ, Davern ME, McAlpine DD, Call KT, Rockwood TH. Increasing response rates in a survey of Medicaid enrollees: the effect of a prepaid monetary incentive and mixed modes (mail and telephone) Med Care. 2005;43(4):411–414.
    1. Satia JA, Galanko JA, Rimer BK. Methods and strategies to recruit African Americans into cancer prevention surveillance studies. Cancer Epidemiol Biomarkers Prev. 2005;14(3):718–721.

Source: PubMed

3
Subscribe