Cross-cultural validation of the parent-patient activation measure in low income Spanish- and English-speaking parents

Patient Educ Couns. 2016 Dec;99(12):2055-2062. doi: 10.1016/j.pec.2016.07.003. Epub 2016 Jul 2.

Abstract

Objective: (1) To measure healthcare activation among low-income parents by language (English/Spanish); and (2) to assess the psychometrics of the Parent-Patient Activation Measure (P-PAM) in the study population.

Methods: We surveyed parents/guardians of publicly-insured children who were established patients at a pediatrics clinic for ≥6months. Surveys included the Parent-Patient Activation Measure (P-PAM), a 13-item measure adapted from the well-validated Patient Activation Measure (PAM).

Results: Of 316 surveys, 68% were completed in Spanish. Mean activation score in the English-language survey group was 79.1 (SD 16.2); mean score in the Spanish-language group was 70.7 (SD 17.9) (p<0.001). Scale reliability was high (English α=0.90; Spanish α=0.93). The P-PAM had acceptable test-retest reliability, but no previously reported PAM factor structure fit the study data adequately for either language.

Conclusions: Healthcare activation among low-income parents was greater for parents surveyed in English compared with those surveyed in Spanish. The P-PAM has acceptable reliability and validity in English and Spanish, but a different factor structure than the PAM.

Practice implications: Activation as measured by the P-PAM may not have the same associations with or impact on health/healthcare outcomes in pediatrics compared with adults owing to possible measure differences between the P-PAM and PAM.

Keywords: Disparities; Latino; Limited english proficiency; Patient engagement; Pediatrics; Primary care.

MeSH terms

  • Adult
  • Child
  • Cross-Cultural Comparison*
  • Cross-Sectional Studies
  • Female
  • Health Literacy
  • Hispanic or Latino / psychology*
  • Humans
  • Language*
  • Male
  • Parents / psychology*
  • Patient Participation*
  • Poverty
  • Psychometrics / statistics & numerical data*
  • Reproducibility of Results
  • Surveys and Questionnaires / standards*
  • Urban Population