info:eu-repo/semantics/article
Setting priorities in clinical and health services research: Properties of an adapted and updated method
Fecha
2010-04Registro en:
Berra, Silvina del Valle; Sánchez, Emilia; Pons, Joan M. V.; Tebé, Cristian; Alonso, Jordi; et al.; Setting priorities in clinical and health services research: Properties of an adapted and updated method; Cambridge University Press; International Journal Of Technology Assessment In Health Care; 26; 2; 4-2010; 217-224
0266-4623
1471-6348
CONICET Digital
CONICET
Autor
Berra, Silvina del Valle
Sánchez, Emilia
Pons, Joan M. V.
Tebé, Cristian
Alonso, Jordi
Aymerich, Marta
Resumen
The objectives of this study is to review the set of criteria of the Institute of Medicine (IOM) for priority-setting in research with addition of new criteria if necessary, and to develop and evaluate the reliability and validity of the final priority score. Based on the evaluation of 199 research topics, forty-five experts identified additional criteria for priority-setting, rated their relevance, and ranked and weighted them in a three-round modified Delphi technique. A final priority score was developed and evaluated. Internal consistency, test–retest and inter-rater reliability were assessed. Correlation with experts’ overall qualitative topic ratings were assessed as an approximation to validity. All seven original IOM criteria were considered relevant and two new criteria were added (“potential for translation into practice”, and “need for knowledge”). Final ranks and relative weights differed from those of the original IOM criteria: “research impact on health outcomes” was considered the most important criterion (4.23), as opposed to “burden of disease” (3.92). Cronbach’s alpha (0.75) and test–retest stability (interclass correlation coefficient = 0.66) for the final set of criteria were acceptable. The area under the receiver operating characteristic curve for overall assessment of priority was 0.66. A reliable instrument for prioritizing topics in clinical and health services research has been developed. Further evaluation of its validity and impact on selecting research topics is required.