Literature DB >> 7550178

Individual-patient monitoring in clinical practice: are available health status surveys adequate?

C A McHorney1, A R Tarlov.   

Abstract

Interest has increased in recent years in incorporating health status measures into clinical practice for use at the individual-patient level. We propose six measurement standards for individual-patient applications: (1) practical features, (2) breadth of health measured, (3) depth of health measured, (4) precision for cross-sectional assessment, (5) precision for longitudinal monitoring and (6) validity. We evaluate five health status surveys (Functional Status Questionnaire, Dartmouth COOP Poster Charts, Nottingham Health Profile, Duke Health Profile, and SF-36 Health Survey) that have been proposed for use in clinical practice. We conducted an analytical literature review to evaluate the six measurement standards for individual-patient applications across the five surveys. The most problematic feature of the five surveys was their lack of precision for individual-patient applications. Across all scales, reliability standards for individual assessment and monitoring were not satisfied, and the 95% CIs were very wide. There was little evidence of the validity of the five surveys for screening, diagnosing, or monitoring individual patients. The health status surveys examined in this paper may not be suitable for monitoring the health and treatment status of individual patients. Clinical usefulness of existing measures might be demonstrated as clinical experience is broadened. At this time, however, it seems that new instruments, or adaptation of existing measures and scaling methods, are needed for individual-patient assessment and monitoring.

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Year:  1995        PMID: 7550178     DOI: 10.1007/bf01593882

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  105 in total

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Review 5.  Psychometric considerations in evaluating health-related quality of life measures.

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Journal:  Qual Life Res       Date:  1993-12       Impact factor: 4.147

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Journal:  Med Care       Date:  1994-07       Impact factor: 2.983

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  551 in total

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Journal:  Pharm World Sci       Date:  1999-06

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3.  Using the standard error of measurement to identify important changes on the Asthma Quality of Life Questionnaire.

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Journal:  Qual Life Res       Date:  2002-02       Impact factor: 4.147

Review 4.  Assessing health status and quality-of-life instruments: attributes and review criteria.

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5.  The Spanish version of the Child Health and Illness Profile-Adolescent Edition (CHIP-AE).

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Journal:  Qual Life Res       Date:  2003-05       Impact factor: 4.147

6.  Use of the reliable change index to evaluate clinical significance in SF-36 outcomes.

Authors:  Robert J Ferguson; Amy B Robinson; Mark Splaine
Journal:  Qual Life Res       Date:  2002-09       Impact factor: 4.147

7.  Cross-cultural adaptation and assessment of the reliability and validity of the Core Outcome Measures Index (COMI) for the Brazilian-Portuguese language.

Authors:  L H F Damasceno; P A G Rocha; E S Barbosa; C A M Barros; F T Canto; H L A Defino; A F Mannion
Journal:  Eur Spine J       Date:  2011-12-15       Impact factor: 3.134

8.  An introduction to three studies assessing the impact of specific restraints on the delivery of pharmaceutical benefits.

Authors:  A R Tarlov
Journal:  Pharmacoeconomics       Date:  1996       Impact factor: 4.981

Review 9.  A review of the progress towards developing health-related quality-of-life instruments for international clinical studies and outcomes research.

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Journal:  Pharmacoeconomics       Date:  1996-10       Impact factor: 4.981

10.  Performance of the Asthma Impact on Quality of Life Scale (A-IQOLS) in diverse asthma research populations and demographic subgroups.

Authors:  Sandra R Wilson; Robert A Wise; Mario Castro; Michael J Mulligan; Estela Ayala; Alan Chausow; Qiwen Huang; Santosh Gummidipundi
Journal:  J Allergy Clin Immunol       Date:  2018-05-04       Impact factor: 10.793

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