Pregled bibliografske jedinice broj: 830994
Alternative Data Processing in the Culig Adherence Scale
Alternative Data Processing in the Culig Adherence Scale // Pharmacoepidemiology and Drug Safety Volume 25, Issue Supplement S3 August 2016 Abstracts of the 32nd International Conference on Pharmacoepidemiology & Therapeutic Risk Management, The Convention Centre Dublin, Dublin, Ireland August 25–28, 2016
Dublin: John Wiley & Sons, 2016. str. 190-190 (poster, međunarodna recenzija, sažetak, stručni)
CROSBI ID: 830994 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Alternative Data Processing in the Culig Adherence Scale
Autori
Momirović, Aleksandar ; Leppée, Marcel ; Naletilić, Dario ; Čulig, Josip
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, stručni
Izvornik
Pharmacoepidemiology and Drug Safety Volume 25, Issue Supplement S3 August 2016 Abstracts of the 32nd International Conference on Pharmacoepidemiology & Therapeutic Risk Management, The Convention Centre Dublin, Dublin, Ireland August 25–28, 2016
/ - Dublin : John Wiley & Sons, 2016, 190-190
Skup
32nd International Conference on Pharmacoepidemiology & Therapeutic Risk Management
Mjesto i datum
Dublin, Irska, 25.08.2016. - 28.08.2016
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
adherence; scale; reliability
Sažetak
Background: Perseverance in taking therapy is an important determinant of its success, but the evaluation of patient adherence is extremely complex. The Culig scale with 16 questions of perseverance is used in Croatia. Objectives: The determination of psychometric properties of the Culig questionnaire of perseverance, in which the individual results are formed in an alternative way. Methods: Raw values of each indicator, 68 of them, are processed, instead of the original 16 composite variables of the Culig scale. At the same time, reactions on certain indicators are normalized by the inverse integral of the standard normal distribution, after which the data are standardized. After the data are processed, results are formed for each subject as factor scores on the first main component of the inter-correlation matrix of indicators. Such a procedure allows calculation of the contribution of individual indicators to the overall results on the scale, and with the method of the factor analysis it is possible to accurately show the interconnection of individual indicators, as well as their possible groupings. Results: Scale reliability (Cronbach alpha = 0.94) becomes significantly higher than in classical procedures. The first factor is defined by the highest number of individual indicators and represents the main subject of the whole scale measurement ; indicators with the highest saturation are connected to the perseverance in taking the drug and to the indicators of the subjects' mood, with an emphasis on the sad and depressed mood. Interestingly, the indicators of the relationship of the patient with the doctor or the pharmacist were not significantly associated with indicators of perseverance in taking the drug, but are on an independent dimension. Conclusions: Alternative methods of processing the individual results and psychometric properties determined by that process are presented in the Culig questionnaire of perseverance. These kind of properties are better than those that are usual of certain conventional ways of processing. Such a process opens the possibility for a multivariate analysis of the results in the questionnaire, which is important for further research.
Izvorni jezik
Engleski
Znanstvena područja
Javno zdravstvo i zdravstvena zaštita
POVEZANOST RADA
Ustanove:
Nastavni zavod za javno zdravstvo "Dr. Andrija Štampar"