Validation of a questionnaire to assess complexity of palliative care needs in primary care in Malaga, Spain: a study protocol
Abstract
Introduction: The needs of patients in palliative care (PC) are multiple and changing. Several tools assess them, but there is a lack of homogeneity among them. A specific diagnostic tool to assess complexity in PC (IDC-Pal: Instrumento Diagnóstico de la Complejidad en Cuidados Paliativos, in Spanish) was created in community and hospital settings with 36 items to diagnose PC complexity, but its application in primary care is difficult.
Aims: (1) To generate an adapted version to primary care of the IDC-Pal tool to identify and stratify PC complexity in the adult population. (2) To determine face, content, criterion and construct validity and reliability of the new instrument.
Methods and analysis: There are three phases of clinimetric cross-sectional observational validation study: Phase 0: Review of the original tool structure suitability for its use in primary care setting by a committee (researchers and the original developer team). Phase 1: Expert consensus phase by Delphi technique with physicians, nurses and social workers from primary care and PC. Phase 2: Empirical validation of the resulting tool in primary care using a cross-sectional descriptive design involving physicians and case manager nurses from across Andalucia, who will recruit adult patients with PC needs from healthcare centres that accept to participate in the study. Reliability (Cronbach's alpha, McDonald's omega, interclass correlation coefficient) and construct validity (exploratory factor analysis)…
How strong is the evidence?
Evidence Hub reads this as a clinical trial, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.
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