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Patient and societal value functions for the testing morbidities index.
Swan, J Shannon; Kong, Chung Yin; Lee, Janie M; Itauma, Omosalewa; Halpern, Elkan F; Lee, Pablo A; Vavinskiy, Sergey; Williams, Olubunmi; Zoltick, Emilie S; Donelan, Karen.
Afiliação
  • Swan JS; Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD)
  • Kong CY; Harvard Medical School, Boston, MA (JSS, CYK, JML, EFH, KD)
  • Lee JM; Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD)
  • Itauma O; Harvard Medical School, Boston, MA (JSS, CYK, JML, EFH, KD)
  • Halpern EF; Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD)
  • Lee PA; Harvard Medical School, Boston, MA (JSS, CYK, JML, EFH, KD)
  • Vavinskiy S; Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD)
  • Williams O; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI (OA)
  • Zoltick ES; Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD)
  • Donelan K; Harvard Medical School, Boston, MA (JSS, CYK, JML, EFH, KD)
Med Decis Making ; 33(6): 819-38, 2013 08.
Article em En | MEDLINE | ID: mdl-23689044
ABSTRACT

BACKGROUND:

We developed preference-based and summated scale scoring for the Testing Morbidities Index (TMI) classification, which addresses short-term effects on quality of life from diagnostic testing before, during, and after testing procedures.

METHODS:

The two TMI preference functions use multiattribute value techniques; one is patient-based and the other has a societal perspective, informed by 206 breast biopsy patients and 466 (societal) subjects. Because of a lack of standard short-term methods for this application, we used the visual analog scale (VAS). Waiting tradeoff (WTO) tolls provided an additional option for linear transformation of the TMI. We randomized participants to 1 of 3 surveys The first derived weights for generic testing morbidity attributes and levels of severity with the VAS; a second developed VAS values and WTO tolls for linear transformation of the TMI to a "dead-healthy" scale; the third addressed initial validation in a specific test (breast biopsy). The initial validation included 188 patients and 425 community subjects. Direct VAS and WTO values were compared with the TMI. Alternative TMI scoring as a nonpreference summated scale was included, given evidence of construct and content validity.

RESULTS:

The patient model can use an additive function, whereas the societal model is multiplicative. Direct VAS and the VAS-scaled TMI were correlated across modeling groups (r = 0.45-0.62). Agreement was comparable to the value function validation of the Health Utilities Index 2. Mean absolute difference (MAD) calculations showed a range of 0.07-0.10 in patients and 0.11-0.17 in subjects. MAD for direct WTO tolls compared with the WTO-scaled TMI varied closely around 1 quality-adjusted life day.

CONCLUSIONS:

The TMI shows initial promise in measuring short-term testing-related health states.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pacientes / Morbidade Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pacientes / Morbidade Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2013 Tipo de documento: Article