BMC Health Services Research (May 2023)

Adaptation and psychometric testing of the end-of-life professional caregiver survey in Jamaica

  • Rebecca L. Edwards,
  • Marie Bakitas,
  • Peng Li,
  • Dingle Spence,
  • Eulalia Kahwa,
  • Mark Stoltenberg,
  • Nataliya V. Ivankova,
  • Kaesha Thomas,
  • Kammar Segree,
  • Syed Matthew Kodilinye,
  • Adelais Markaki

DOI
https://doi.org/10.1186/s12913-023-09497-2
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 12

Abstract

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Abstract Background Using a validated instrument to measure palliative care (PC) educational needs of health professionals is an important step in understanding how best to educate a well-versed PC workforce within a national health system. The End-of-life Professional Caregiver Survey (EPCS) was developed to measure U.S. interprofessional PC educational needs and has been validated for use in Brazil and China. As part of a larger research project, this study aimed to culturally adapt and psychometrically test the EPCS among physicians, nurses, and social workers practicing in Jamaica. Methods Face validation involved expert review of the EPCS with recommendations for linguistic item modifications. Content validation was carried out by six Jamaica-based experts who completed a formal content validity index (CVI) for each EPCS item to ascertain relevancy. Health professionals practicing in Jamaica (n = 180) were recruited using convenience and snowball sampling to complete the updated 25-item EPCS (EPCS-J). Internal consistency reliability was assessed using Cronbach’s $$\alpha$$ coefficient and McDonald’s $$\phi$$ . Construct validity was examined through confirmatory factor analysis (CFA) and exploratory factor analysis (EFA). Results Content validation led to elimination of three EPCS items based on a CVI 0.30 suggesting good reliability. The CFA demonstrated a three-factor model with acceptable fit indices (RMSEA = 0.08, CFI = 0.88, SRMR = 0.06). The EFA determined a three-factor model had the best model fit, with four items moved into the effective patient care subscale from the other two EPCS-J subscales based on factor loading. Conclusions The psychometric properties of the EPCS-J resulted in acceptable levels of reliability and validity indicating that this instrument is suitable for use in measuring interprofessional PC educational needs in Jamaica.

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