Measuring health-related problem solving among African Americans with multiple chronic conditions: application of Rasch analysis

Stephanie L. Fitzpatrick, Felicia Hill-Briggs

Research output: Contribution to journalArticle

Abstract

Identification of patients with poor chronic disease self-management skills can facilitate treatment planning, determine effectiveness of interventions, and reduce disease complications. This paper describes the use of a Rasch model, the Rating Scale Model, to examine psychometric properties of the 50-item Health Problem-Solving Scale (HPSS) among 320 African American patients with high risk for cardiovascular disease. Items on the positive/effective HPSS subscales targeted patients at low, moderate, and high levels of positive/effective problem solving, whereas items on the negative/ineffective problem solving subscales mostly targeted those at moderate or high levels of ineffective problem solving. Validity was examined by correlating factor scores on the measure with clinical and behavioral measures. Items on the HPSS show promise in the ability to assess health-related problem solving among high risk patients. However, further revisions of the scale are needed to increase its usability and validity with large, diverse patient populations in the future.

Original languageEnglish (US)
Pages (from-to)787-797
Number of pages11
JournalJournal of Behavioral Medicine
Volume38
Issue number5
DOIs
StatePublished - Oct 16 2014

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African Americans
Health
Aptitude
Self Care
Disease Management
Multiple Chronic Conditions
Psychometrics
Chronic Disease
Cardiovascular Diseases
Population

Keywords

  • Multiple chronic conditions
  • Problem solving
  • Rasch analysis

ASJC Scopus subject areas

  • Psychology(all)
  • Psychiatry and Mental health

Cite this

Measuring health-related problem solving among African Americans with multiple chronic conditions : application of Rasch analysis. / Fitzpatrick, Stephanie L.; Hill-Briggs, Felicia.

In: Journal of Behavioral Medicine, Vol. 38, No. 5, 16.10.2014, p. 787-797.

Research output: Contribution to journalArticle

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