Literature DB >> 7278417

The Duke-UNC Health Profile: an adult health status instrument for primary care.

G R Parkerson, S H Gehlbach, E H Wagner, S A James, N E Clapp, L H Muhlbaier.   

Abstract

The Duke--UNC Health Profile (DUHP) was developed as a brief 63-item instrument designed to measure adult health status in the primary care setting along four dimensions: symptom status, physical function, emotional function and social function. Reliability and validity were tested on a group of 395 ambulatory patients in a family medicine center. Temporal stability Spearman correlations ranged from 0.52 to 0.82 for the four dimensions. Cronbach's alpha for internal consistency was 0.85 for emotional function. Guttman's reproducibility coefficients were 0.98 for physical function and 0.93 for social function, and the scalability coefficients were 0.89 for physical and 0.71 for social. Observed relationships between DUHP scores and demographic characteristics of the respondents correlated well with those predicted by the investigators (overall Spearman correlation 0.79). Convergent and discriminant validity was supported by strong associations between components of DUHP and those on the Sickness Impact Profile (SIP), the Tennessee Self-Concept Scale (Tennessee), and the Zung Self-Rating Depression Scale (Zung). DUHP with SIP monocomponent-heteromethod Spearman correlations ranged from 0.34 to 0.45, and those for DUHP with Tennessee ranged from 0.68 to 0.81. DUHP with Zung monoitem--heteromethod correlations ranged from 0.54 to 0.57. It is concluded that this evidence supports the reliability and validity of the DUHP as an instrument suitable for studying the impact of primary health care on the health outcomes of patients.

Entities:  

Mesh:

Year:  1981        PMID: 7278417     DOI: 10.1097/00005650-198108000-00002

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  20 in total

1.  Reassessing quality-of-life instruments in the evaluation of new drugs.

Authors:  G H Guyatt; R J Jaeschke
Journal:  Pharmacoeconomics       Date:  1997-12       Impact factor: 4.981

2.  Palliative care symptom assessment for patients with cancer in the emergency department: validation of the Screen for Palliative and End-of-life care needs in the Emergency Department instrument.

Authors:  Christopher T Richards; Michael A Gisondi; Chih-Hung Chang; D Mark Courtney; Kirsten G Engel; Linda Emanuel; Tammie Quest
Journal:  J Palliat Med       Date:  2011-05-06       Impact factor: 2.947

Review 3.  Health outcomes research on Hispanics/Latinos.

Authors:  A L Giachello
Journal:  J Med Syst       Date:  1996-10       Impact factor: 4.460

4.  Color vision screening without the use of technical equipment: scale development and cross-validation.

Authors:  S Coren; A R Hakstian
Journal:  Percept Psychophys       Date:  1988-02

5.  The Functional Status Questionnaire: reliability and validity when used in primary care.

Authors:  A M Jette; A R Davies; P D Cleary; D R Calkins; L V Rubenstein; A Fink; J Kosecoff; R T Young; R H Brook; T L Delbanco
Journal:  J Gen Intern Med       Date:  1986 May-Jun       Impact factor: 5.128

6.  Dental health and public policy: the social impact of dental disease.

Authors:  S T Reisine
Journal:  Am J Public Health       Date:  1985-01       Impact factor: 9.308

Review 7.  Systematic review of psychosocial morbidities among bereaved parents of children with cancer.

Authors:  Abby R Rosenberg; K Scott Baker; Karen Syrjala; Joanne Wolfe
Journal:  Pediatr Blood Cancer       Date:  2011-10-28       Impact factor: 3.167

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

Authors:  C A McHorney; A R Tarlov
Journal:  Qual Life Res       Date:  1995-08       Impact factor: 4.147

9.  Measuring the social psychological health states of ambulatory chronically ill patients: hypertension and diabetes as tracer conditions.

Authors:  C W Given
Journal:  J Community Health       Date:  1984

10.  Toward clinical applications of health status measures: sensitivity of scales to clinically important changes.

Authors:  R A Deyo; T S Inui
Journal:  Health Serv Res       Date:  1984-08       Impact factor: 3.402

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.