Literature DB >> 10136848

Importance of sensitivity to change as a criterion for selecting health status measures.

R Fitzpatrick1, S Ziebland, C Jenkinson, A Mowat, A Mowat.   

Abstract

OBJECTIVE: To assess the sensitivity to change over time of four health status instruments in relation to patients with rheumatoid arthritis.
DESIGN: Observational three month study of four self assessed instruments (arthritis impact measurement scales (AIMS), health assessment questionnaire (HAQ), Nottingham health profile (NHP), functional limitations profile (FLP)).
SETTING: One rheumatology unit. PATIENTS: 101 patients with definite or classic rheumatoid arthritis. MAIN MEASURES: Change scores for dimensions of instruments, as determined by effect size (mean change in score/baseline standard deviation of variable) and conventional rheumatological measures, at baseline and after three months.
RESULTS: Change scores for comparable dimensions (mobility, activities of daily living, household, pain, mood or emotion, and social scales) of the instruments were compared among 30 patients who considered their health status to have improved over three months. For all dimensions of health status the magnitude of change varied considerably according to the instrument. Maximum range in effect size was for social scales (AIMS 0.06, NHP 0.24, FLP 0.60). No single instrument seemed consistently to show the most change over all dimensions.
CONCLUSION: Selection of health status instruments for audit or evaluation may have a considerable impact on the pattern of results obtained, and the "responsiveness" of such scales should be as carefully examined as their reliability and acceptability when selecting outcome measures.

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Mesh:

Year:  1992        PMID: 10136848      PMCID: PMC1054970          DOI: 10.1136/qshc.1.2.89

Source DB:  PubMed          Journal:  Qual Health Care        ISSN: 0963-8172


  33 in total

1.  Shattuck lecture--outcomes management. A technology of patient experience.

Authors:  P M Ellwood
Journal:  N Engl J Med       Date:  1988-06-09       Impact factor: 91.245

2.  Measuring health status: a new tool for clinicians and epidemiologists.

Authors:  S M Hunt; J McEwen; S P McKenna
Journal:  J R Coll Gen Pract       Date:  1985-04

3.  The dimensions of health outcomes: a cross-validated examination of health status measurement.

Authors:  J H Brown; L E Kazis; P W Spitz; P Gertman; J F Fries; R F Meenan
Journal:  Am J Public Health       Date:  1984-02       Impact factor: 9.308

4.  The Nottingham Health Profile: subjective health status and medical consultations.

Authors:  S M Hunt; S P McKenna; J McEwen; J Williams; E Papp
Journal:  Soc Sci Med A       Date:  1981-05

5.  Comparative measurement efficiency and sensitivity of five health status instruments for arthritis research.

Authors:  M H Liang; M G Larson; K E Cullen; J A Schwartz
Journal:  Arthritis Rheum       Date:  1985-05

6.  Outcome assessment in clinical trials. Evidence for the sensitivity of a health status measure.

Authors:  R F Meenan; J J Anderson; L E Kazis; M J Egger; M Altz-Smith; C O Samuelson; R F Willkens; M A Solsky; S P Hayes; K L Blocka
Journal:  Arthritis Rheum       Date:  1984-12

7.  The dimensions of health outcomes: the health assessment questionnaire, disability and pain scales.

Authors:  J F Fries; P W Spitz; D Y Young
Journal:  J Rheumatol       Date:  1982 Sep-Oct       Impact factor: 4.666

8.  The Medical Outcomes Study. An application of methods for monitoring the results of medical care.

Authors:  A R Tarlov; J E Ware; S Greenfield; E C Nelson; E Perrin; M Zubkoff
Journal:  JAMA       Date:  1989-08-18       Impact factor: 56.272

9.  Longitudinal changes in functional capacity among surviving old people continuously resident in hospitals and homes.

Authors:  L J Donaldson
Journal:  J Epidemiol Community Health       Date:  1984-09       Impact factor: 3.710

10.  Can the Sickness Impact Profile measure change? An example of scale assessment.

Authors:  C R MacKenzie; M E Charlson; D DiGioia; K Kelley
Journal:  J Chronic Dis       Date:  1986
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  31 in total

Review 1.  Measuring handicap: motives, methods, and a model.

Authors:  R H Harwood; S Jitapunkul; E Dickinson; S Ebrahim
Journal:  Qual Health Care       Date:  1994-03

2.  On assessing responsiveness of health-related quality of life instruments: guidelines for instrument evaluation.

Authors:  C B Terwee; F W Dekker; W M Wiersinga; M F Prummel; P M M Bossuyt
Journal:  Qual Life Res       Date:  2003-06       Impact factor: 4.147

3.  Quality of life measures in health care. I: Applications and issues in assessment.

Authors:  R Fitzpatrick; A Fletcher; S Gore; D Jones; D Spiegelhalter; D Cox
Journal:  BMJ       Date:  1992-10-31

4.  The conclusion that 'ultramolecular homeopathy has no observable clinical effects' is not supported by the data.

Authors:  Edward Shalts; Samuel Shiflett
Journal:  Br J Clin Pharmacol       Date:  2004-09       Impact factor: 4.335

Review 5.  Measuring health status? A review of the sickness impact and functional limitations profiles.

Authors:  S J Williams
Journal:  Health Care Anal       Date:  1996-11

6.  Comparison of the responsiveness of the Harris Hip Score with generic measures for hip function in osteoarthritis of the hip.

Authors:  H L Hoeksma; C H M Van Den Ende; H K Ronday; A Heering; F C Breedveld
Journal:  Ann Rheum Dis       Date:  2003-10       Impact factor: 19.103

7.  Evidence for the sensitivity of the SF-36 health status measure to inequalities in health: results from the Oxford healthy lifestyles survey.

Authors:  C Jenkinson; R Layte; A Coulter; L Wright
Journal:  J Epidemiol Community Health       Date:  1996-06       Impact factor: 3.710

8.  Danish version of the Oswestry disability index for patients with low back pain. Part 2: Sensitivity, specificity and clinically significant improvement in two low back pain populations.

Authors:  Henrik Hein Lauridsen; Jan Hartvigsen; Claus Manniche; Lars Korsholm; Niels Grunnet-Nilsson
Journal:  Eur Spine J       Date:  2006-05-31       Impact factor: 3.134

9.  The short form 36 health status questionnaire: clues from the Oxford region's normative data about its usefulness in measuring health gain in population surveys.

Authors:  S Ziebland
Journal:  J Epidemiol Community Health       Date:  1995-02       Impact factor: 3.710

10.  Comparison of the sensitivity to change of long and short form pain measures.

Authors:  C Jenkinson; D Carroll; M Egerton; T Frankland; H McQuay; C Nagle
Journal:  Qual Life Res       Date:  1995-08       Impact factor: 4.147

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