Literature DB >> 8326276

Assessing the need for health status measures.

J L Donovan1, S J Frankel, J D Eyles.   

Abstract

Mesh：

Year:  1993        PMID： 8326276      PMCID： PMC1059746          DOI： 10.1136/jech.47.2.158

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN： 0143-005X            Impact factor:   3.710


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  32 in total

1.  Classification of disability in the chronically ill and aging.

Authors:  E MOSKOWITZ; C B MCCANN
Journal:  J Chronic Dis       Date:  1957-03

Review 2.  The development of a subjective health indicator.

Authors:  S M Hunt; J McEwen
Journal:  Sociol Health Illn       Date:  1980-11

3.  The sickness impact profile: conceptual formulation and methodology for the development of a health status measure.

Authors:  M Bergner; R A Bobbitt; S Kressel; W E Pollard; B S Gilson; J R Morris
Journal:  Int J Health Serv       Date:  1976       Impact factor: 1.663

4.  Vertical or horizontal visual analogue scales.

Authors:  J Scott; E C Huskisson
Journal:  Ann Rheum Dis       Date:  1979-12       Impact factor: 19.103

5.  Reproducibility along a 10 cm vertical visual analogue scale.

Authors:  J S Dixon; H A Bird
Journal:  Ann Rheum Dis       Date:  1981-02       Impact factor: 19.103

6.  The Oswestry low back pain disability questionnaire.

Authors:  J C Fairbank; J Couper; J B Davies; J P O'Brien
Journal:  Physiotherapy       Date:  1980-08       Impact factor: 3.358

7.  A scaled version of the General Health Questionnaire.

Authors:  D P Goldberg; V F Hillier
Journal:  Psychol Med       Date:  1979-02       Impact factor: 7.723

8.  The Sickness Impact Profile: development and final revision of a health status measure.

Authors:  M Bergner; R A Bobbitt; W B Carter; B S Gilson
Journal:  Med Care       Date:  1981-08       Impact factor: 2.983

9.  Measuring health status in arthritis. The arthritis impact measurement scales.

Authors:  R F Meenan; P M Gertman; J H Mason
Journal:  Arthritis Rheum       Date:  1980-02

10.  Screening for disability in the inner city.

Authors:  D L Patrick; S C Darby; S Green; G Horton; D Locker; R D Wiggins
Journal:  J Epidemiol Community Health       Date:  1981-03       Impact factor: 3.710
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  23 in total

1.  A pragmatic defence of health status measures.

Authors:  R Fitzpatrick
Journal:  Health Care Anal       Date:  1996-11

2.  Perceptions of a Quality of Work-Life Survey from the Perspective of Employees in a Canadian Cancer Centre.

Authors:  Joanna E M Sale
Journal:  Qual Quant       Date:  2007

3.  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

4.  Assessing the health needs for cancer services for people from ethnic groups.

Authors:  S Rawaf
Journal:  Br J Cancer Suppl       Date:  1996-09

5.  A theoretical framework for patient-reported outcome measures.

Authors:  Leah McClimans
Journal:  Theor Med Bioeth       Date:  2010-06

6.  Association between educational level and health related quality of life in Spanish adults.

Authors:  E Regidor; G Barrio; L de la Fuente; A Domingo; C Rodriguez; J Alonso
Journal:  J Epidemiol Community Health       Date:  1999-02       Impact factor: 3.710

7.  Making sense of ambiguity: evaluation in internal reliability and face validity of the SF 36 questionnaire in women presenting with menorrhagia.

Authors:  C Jenkinson; V Peto; A Coulter
Journal:  Qual Health Care       Date:  1996-03

8.  Assessing the need for health status measures.

Authors:  S P McKenna; S M Hunt
Journal:  J Epidemiol Community Health       Date:  1993-12       Impact factor: 3.710

9.  Is the short form 36 (SF-36) suitable for routine health outcomes assessment in health care for older people? Evidence from preliminary work in community based health services in England.

Authors:  S Hill; U Harries; J Popay
Journal:  J Epidemiol Community Health       Date:  1996-02       Impact factor: 3.710

10.  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
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