期刊论文详细信息
BMC Public Health
The grounded psychometric development and initial validation of the Health Literacy Questionnaire (HLQ)
Rachelle Buchbinder1  Melanie Hawkins2  Gerald R Elsworth2  Roy W Batterham2  Richard H Osborne2 
[1] Monash Department of Clinical Epidemiology, Cabrini Hospital, Brighton, Victoria, Australia;Public Health Innovation, Population Health Strategic Research Centre, School of Health and Social Development, Deakin University, 221 Burwood Highway, Melbourne, Victoria 3125, Australia
关键词: HLQ;    Psychometrics;    Health competencies;    Assessment;    Measurement;    Health literacy;   
Others  :  1162024
DOI  :  10.1186/1471-2458-13-658
 received in 2013-02-22, accepted in 2013-06-19,  发布年份 2013
PDF
【 摘 要 】

Background

Health literacy has become an increasingly important concept in public health. We sought to develop a comprehensive measure of health literacy capable of diagnosing health literacy needs across individuals and organisations by utilizing perspectives from the general population, patients, practitioners and policymakers.

Methods

Using a validity-driven approach we undertook grounded consultations (workshops and interviews) to identify broad conceptually distinct domains. Questionnaire items were developed directly from the consultation data following a strict process aiming to capture the full range of experiences of people currently engaged in healthcare through to people in the general population. Psychometric analyses included confirmatory factor analysis (CFA) and item response theory. Cognitive interviews were used to ensure questions were understood as intended. Items were initially tested in a calibration sample from community health, home care and hospital settings (N=634) and then in a replication sample (N=405) comprising recent emergency department attendees.

Results

Initially 91 items were generated across 6 scales with agree/disagree response options and 5 scales with difficulty in undertaking tasks response options. Cognitive testing revealed that most items were well understood and only some minor re-wording was required. Psychometric testing of the calibration sample identified 34 poorly performing or conceptually redundant items and they were removed resulting in 10 scales. These were then tested in a replication sample and refined to yield 9 final scales comprising 44 items. A 9-factor CFA model was fitted to these items with no cross-loadings or correlated residuals allowed. Given the very restricted nature of the model, the fit was quite satisfactory: χ2WLSMV(866 d.f.) = 2927, p<0.000, CFI = 0.936, TLI = 0.930, RMSEA = 0.076, and WRMR = 1.698. Final scales included: Feeling understood and supported by healthcare providers; Having sufficient information to manage my health; Actively managing my health; Social support for health; Appraisal of health information; Ability to actively engage with healthcare providers; Navigating the healthcare system; Ability to find good health information; and Understand health information well enough to know what to do.

Conclusions

The HLQ covers 9 conceptually distinct areas of health literacy to assess the needs and challenges of a wide range of people and organisations. Given the validity-driven approach, the HLQ is likely to be useful in surveys, intervention evaluation, and studies of the needs and capabilities of individuals.

【 授权许可】

   
2013 Osborne et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150413051038888.pdf 852KB PDF download
Figure 1. 167KB Image download
【 图 表 】

Figure 1.

【 参考文献 】
  • [1]World Health Organization: Health Promotion Glossary. Health Promot Int 1998, 13(4):349-364.
  • [2]United Nations Economic and Social Council: Health literacy and the Millennium Development Goals: United Nations Economic and Social Council (ECOSOC) regional meeting background paper. J Health Commun 2010, 15(Suppl 2):211-223.
  • [3]Commonwealth of Australia: A Healthier Future for All Australians - Final Report of the National Health and Hospitals Reform Commission. Commonwealth of Australia: ACT; 2009.
  • [4]Committee on Health Literacy: Health Literacy: A Prescription to End Confusion. Edited by Nielson-Bohlman L, Panzer A, Hamlin B, Kindig D. Washington: Board on Neuroscience and Behavioral Health, Institute of Medicine of the National Academies; 2004.
  • [5]Peterson PN, Shetterly SM, Clarke CL, Allen LA, Matlock DD, Magid DJ, Masoudi FA: Low Health Literacy is Associated With Increased Risk of Mortality in Patients With Heart Failure. Circulation 2009, 120(18):S749-S749.
  • [6]Sudore RL, Yaffe K, Satterfield S, Harris TB, Mehta KM, Simonsick EM, Newman AB, Rosano C, Rooks R, Rubin SM, et al.: Limited Literacy and Mortality in the Elderly. The Health, Aging and Body Composition Study. J Gen Intern Med 2006, 21:806-812.
  • [7]Baker DW, Gazmararian JA, Williams MV, Scott T, Parker RM, Green D, Ren J, Peel J: Functional health literacy and the risk of hospital admission among Medicare managed care enrollees. Am J Public Health 2002, 92(8):1278-1283.
  • [8]Baker DW, Parker RM, Williams MV, Clark WS: Health literacy and the risk of hospital admission. J Gen Intern Med 1998, 13(12):791-798.
  • [9]Scott TL, Gazmararian JA, Williams MV, Baker DW: Health literacy and preventive health care use among Medicare enrollees in a managed care organization. Medical Care 2002, 40(5):395-404.
  • [10]Berkman ND, Sheridan SL, Donahue KE, Halpern DJ, Crotty K: Low health literacy and health outcomes: an updated systematic review. Ann Intern Med 2011, 155(2):97-107.
  • [11]Schillinger D, Bindman A, Wang F, Stewart A, Piette J: Functional health literacy and the quality of physician-patient communication among diabetes patients. Patient Educ Couns 2004, 52(3):315-323.
  • [12]Williams M, Baker D, Parker R, Nurss J: Relationship of functional health literacy to patients' knowledge of their chronic disease. A Study of patients with hypertension and diabetes. Arch Intern Med 1998, 158(2):166-172.
  • [13]Gazmararian JA, Williams MV, Peel J, Baker DW: Health literacy and knowledge of chronic disease. Patient Educ Couns 2003, 51(3):267-275.
  • [14]Schillinger D, Grumbach K, Piette J, Wang F, Osmond D, Daher C, Palacios J, Sullivan GD, Bindman AB: Association of health literacy with diabetes outcomes. JAMA 2002, 288(4):475-482.
  • [15]USA National Academy on an Aging Society: Low Health Literacy Skills Increase Annual Health Care Expenditures by $73 Billion. The Center for Health Care Strategies and National Academy on an Aging Society 1999. http://www.agingsociety.org/agingsociety/publications/fact/fact_low.html webcite (accessed 13 July 2013)
  • [16]Howard DH, Sentell TL, Gazmararian JA: Impact of Health Literacy on Socioeconomic and Racial Differences in Health in an Elderly Population. J Gen Intern Med 2006, 21:857-861.
  • [17]Sentell TL, Halpin HA: Importance of adult literacy in understanding health disparities. J Gen Intern Med 2006, 21(8):862-866.
  • [18]Hasnain-Wynia R, Wolf MS: Promoting health care equity: is health literacy a missing link? Health Serv Res 2010, 45(4):897-903.
  • [19]Jordan JE, Osborne RH, Buchbinder R: Critical appraisal of health literacy indices revealed variable underlying constructs, narrow content and psychometric weaknesses. J Clin Epidemiol 2011, 64(4):366-379.
  • [20]Jordan JE, Buchbinder R, Osborne RH: Conceptualising health literacy from the patient perspective. Patient Educ Couns 2010, 79(1):36-42.
  • [21]Davis TC, Crouch MA, Long SW, Jackson RH, Bates P, George RB, Bairnsfather LE: Rapid assessment of literacy levels of adult primary care patients. Fam Med 1991, 23(6):433-435.
  • [22]Parker R, Baker D, Williams M, Nurss J: The test of functional health literacy in adults: a new instrument for measuring patients' literacy skills. J Gen Intern Med 1995, 10:537-541.
  • [23]Weiss BD, Mays MZ, Martz W, Castro KM, DeWalt DA, Pignone MP, Mockbee J, Hale FA: Quick assessment of literacy in primary care: the newest vital sign. Ann Fam Med 2005, 3(6):514-522.
  • [24]Barber MN, Staples M, Osborne RH, Clerehan R, Elder C, Buchbinder R: Up to a quarter of the Australian population may have suboptimal health literacy depending upon the measurement tool: results from a population-based survey. Health Promot Int 2009, 24(3):252-261.
  • [25]Australian Bureau of Statistics: Health Literacy, 4233.0. Canberra: Australian Bureau of Statistics; 1996:2-3.
  • [26]Jordan J, Buchbinder R, Briggs A, Elsworth G, Busija L, Batterham R, Osborne RH: The Health Literacy Management Scale (HeLMS): a measure of an individual's capacity to seek, understand and utilise health information within the healthcare setting. Patient Educ Couns 2013, 91(2):228-235.
  • [27]Briggs AM, Jordan JE, Buchbinder R, Burnett AF, O'Sullivan PB, Chua JY, Osborne RH, Straker LM: Health literacy and beliefs among a community cohort with and without chronic low back pain. Pain 2010, 150(2):275-283.
  • [28]Buchbinder R, Batterham R, Ciciriello S, Newman S, Horgan B, Ueffing E, Rader T, Tugwell PS, Osborne RH: Health literacy: what is it and why is it important to measure? J Rheumatol 2011, 38(8):1791-1797.
  • [29]Buchbinder R, Batterham R, Elsworth G, Dionne CE, Irvin E, Osborne RH: A validity-driven approach to the understanding of the personal and societal burden of low back pain: development of a conceptual and measurement model. Arthritis Res Ther 2011, 13(5):R152. BioMed Central Full Text
  • [30]Trochim W: An introduction to concept mapping for planning and evaluation. Eval Program Plann 1989, 12:1-16.
  • [31]Trochim W, Cook JA, Setze RJ: Using concept mapping to develop a conceptual framework of staff's views of a supported employment program for persons with severe mental illness. J Consult Clin Psychol 1994, 62(4):766-775.
  • [32]Trochim W, Linton R: Conceptualisation for planning and evaluation. Eval Program Plann 1986, 9:289-308.
  • [33]Chan CV, Matthews LA, Kaufman DR: A taxonomy characterizing complexity of consumer eHealth Literacy. AMIA Annu Symp Proc 2009, 2009:86-90.
  • [34]Krau SD: Creating educational objectives for patient education using the new Bloom's Taxonomy. Nurs Clin North Am 2011, 46(3):299-312. vi
  • [35]Porter RD, Schick IC: Revisiting Bloom's taxonomy for ethics and other educational domains. J Health Adm Educ 2003, 20(3):167-188.
  • [36]Amer A: Reflections on Bloom's Revised Taxonomy. Electron J Res Ed Psychol 2006, 4(1):213-230.
  • [37]Raykov T: Scale construction and development using structural equation modeling. In Handbook of Structural Equation Modeling. Edited by Hoyle RH. New York: The Guilford Press; 2012:472-492.
  • [38]Lord FM, Novick MR: Statistical theories of mental test scores. Reading: Addison-Wesley; 1968.
  • [39]Ping RAJ: On assuring valid measures for theoretical models using survey data. J Bus Res 2004, 57(2):125-141.
  • [40]Hancock GR, Mueller RO: Structural Equation Modeling: A Second Course. Greenwich CT: Information Age Publishing Inc; 2006. (p. 293)
  • [41]Browne MW, Cudeck R: Alternative ways of assessing model fit. In Testing Structural Equation Models. Edited by Bollen KA, Long JS. Newbury Park, CA: Sage; 1993:136-162.
  • [42]Yu C-Y: Evaluating Cut-off Criteria of Model Fit Indices for Latent Variable Models with Binary and Continuous Outcomes. Los Angeles, CA: Education, University of California; 2002.
  • [43]West SG, Taylor AB, Wu W: Model fit and model selection in structural equation modeling. In Handbook of Structural Equation Modeling. Edited by Hoyle RH. New York, London: The Guilford Press; 2012:209-231.
  • [44]Marsh HW, Ludtke O, Muthen B, Asparouhov T, Morin AJ, Trautwein U, Nagengast B: A new look at the big five factor structure through exploratory structural equation modeling. Psychol Assess 2010, 22(3):471-491.
  • [45]Kenny DA, McCoach DB: Effect of the number of variables on measures of fit in structural equation modeling. Struct Equation Model 2003, 10(3):333-351.
  • [46]de-Vet HCW, Terwee CB, Mokkink LB, Knol DL: Measurement in Medicine: A Practical Guide. Cambridge: Cambridge University Press; 2011.
  • [47]Sorensen K, Van den-Broucke S, Fullam J, Doyle G, Pelikan J, Slonska Z, Brand H: Health literacy and public health: a systematic review and integration of definitions and models. BMC Public Health 2012, 12:80. BioMed Central Full Text
  • [48]Rappaport J: Studies in empowerment: Introduction to the issue. Prev Hum Serv 1984, 3:1-7.
  • [49]Ad Hoc Committee on health literacy from the Council of Scientific Affairs of the American Medical Association: Health literacy: report of the Council on Scientific Affairs. JAMA 1999, 281(6):552-557.
  • [50]Koh HK, Berwick DM, Clancy CM, Baur C, Brach C, Harris LM, Zerhusen EG: New federal policy initiatives to boost health literacy can help the nation move beyond the cycle of costly 'crisis care'. Health Aff (Millwood) 2012, 31(2):434-443.
  • [51]US Department of Health and Human Services. Office of Disease Prevention and Health Promotion: National Action Plan to Improve Health Literacy. Washington, DC; 2010. http://www.health.gov/communication/hlactionplan/pdf/Health_Literacy_Action_Plan.pdf webcite (accessed 13 July 2013)
  • [52]Nutbeam D: Health literacy as a public health goal: a challenge for contemporary health education and communication strategies into the 21st century. Health Promot Int 2001, 15(3):259-267.
  文献评价指标  
  下载次数:45次 浏览次数:11次