Assessment of response shift using two structural equation modeling techniques

Gandhi, Pranav; Ried, L. Douglas; Huang, I‐Chan; Kimberlin, Carole L.; Kauf, Teresa L.

doi:10.1007/s11136-012-0171-1

Cited by 24 publications

(27 citation statements)

References 33 publications

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“…(11) Some studies evaluating the quality of life of hypertensive individuals have suggested that the very chronic condition, side effects of the drug therapy and clinical complications interfere in the physical, emotional and intellectual state, in social interaction, and activities of daily living, which are decisive factors for quality of life. (12)(13)(14) The quality of life is part of a complex structure with psychosocial characteristics that can negatively impact on individuals' ability to manage their own chronic disease, however, the exact mechanism by which quality of life is associated with treatment adherence is still unknown. (15) Within this context, the present study aimed to evaluate the association between quality of life and medication adherence in hypertensive individuals.…”

Section: Introductionmentioning

confidence: 99%

Associação entre a qualidade de vida e adesão à medicação de indivíduos hipertensos

et al. 2015

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Objective: To evaluate the association between quality of life and medication adherence in hypertensive individuals. Methods: Cross-sectional study carried out with 432 hypertensive subjects registered in a federal public computerized system. Data were collected in the households through a structured interview with questions related to socioeconomic and clinical variables, as well as assessment of treatment adherence, and the WHOQOL-BREF for quality of life. The Kruskal-Wallis H test was used to measure the association between the scales of quality of life and the classification of treatment adherence. Results: The lowest scores were present in the self-assessment domain and the highest were found in the social domain. Individuals with extreme adherence to antihypertensive treatment showed higher scores in assessment of quality of life compared to individuals classified as extreme non-adherence to antihypertensive treatment. Conclusion:The association between quality of life and medication adherence in hypertensive patients was not predictive. The hypertensive subjects with high medication adherence showed the best scores of quality of life, and the worst scores were presented by individuals classified as extreme non-adherence and as borderline to total non-adherence. ResumoObjetivo: Avaliar a associação entre a qualidade de vida e a adesão a medicação de indivíduos hipertensos. Métodos: Estudo transversal, realizado com 432 hipertensos cadastrados em sistema informatizado público federal. Os dados foram coletados no domicilio por entrevista estruturada com questões relacionadas a variáveis socioeconômicas, clínicas, avaliação da adesão ao tratamento e o WHOQOL-BREF para a qualidade de vida. Utilizou-se o teste de H de Kruskal-Wallis para medir a associação entre as escalas da qualidade de vida e a classificação da adesão ao tratamento. Resultados: Os escores mais baixos estavam presente no domínio autoavaliação e os mais altos foram encontrados no social. Os indivíduos que possuíam adesão extrema ao tratamento anti-hipertensivo apresentaram escores mais altos na avaliação da qualidade de vida em comparação com indivíduos classificados como não adesão extrema ao tratamento anti-hipertensivo. Conclusão: A associação entre a qualidade de vida e adesão a medicação em indivíduos hipertensos não foi preditiva, sendo que os melhores escores estavam presentes nos indivíduos hipertensos que apresentaram alta adesão a medicação e os piores escores da qualidade de vida se apresentaram nos indivíduos de não adesão extrema e limítrofe a não adesão total.

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Section: Introductionmentioning

confidence: 99%

Associação entre a qualidade de vida e adesão à medicação de indivíduos hipertensos

et al. 2015

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“…To identify specific types of response shift, the constraints on parameters of item factor loadings and item intercepts were sequentially relaxed (Step 2a) [18, 37]. For factor loadings and intercepts, one parameter of an individual item was relaxed at a time, and all other parameters were constrained over time.…”

Section: Methodsmentioning

confidence: 99%

“…Recalibration response shift is indicated if the intercept of individual items in a specific domain changes over time. Recalibration response shift implies that subjects may adjust their perception to all response options in the same direction and to the same extent [8, 10, 18, 19]. Sequential analyses to identify different types of response shift were guided by the changes in the modification index values and Chi-square difference test (Chi-square difference of ≥3.84 with df(1); p < 0.05) [10, 17].…”

Section: Methodsmentioning

confidence: 99%

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An item-level response shift study on the change of health state with the rating of asthma-specific quality of life: a report from the PROMIS® Pediatric Asthma Study

et al. 2016

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Purpose To examine item-level response shift associated with the change in asthma-related health state (i.e., change in asthma control status and global rating of change (GRC) in breathing problems). Methods Study sample comprised 238 asthmatic children who were between 8 and 17.9 years and completed the Pediatric Asthma Quality of Life Questionnaire (PAQLQ) symptoms, emotion function, and activity limitation domains at baseline and a follow-up assessment. Structural equation modeling was implemented to assess item-level response shift associated with the change in asthma-related health state with the adjustment for the influence of confounding variables. The magnitude of item-level response shift and its influence on the change of domain scores was estimated using Cohen’s effect sizes. Results We found no instances of item-level response shift. However, two items were identified with measurement bias related to GRC due to breathing problems. Specifically, asthmatic children with better/about the same GRC due to breathing problems reported lower scores for one item in the emotional domain at follow-up compared to those with deteriorated GRC due to breathing problems. In addition, asthmatic children with better/about the same GRC due to breathing problems reported better scores for another item in the symptom domain at baseline compared to those with deteriorated GRC due to breathing problems. The impact of measurement bias was small and did not bias the change of domain scores over time. Conclusions No item-level response shift, but two instances of measurement bias, appears in asthmatic children. However, the impact of these measurement issues is negligible.

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“…Since its publication, OP has been successfully used to detect RS on several clinical datasets, usually at domain level (i.e., with continuous scores as observed variables) [8][9][10][11][12][13][14]. However, the performance of the algorithm, regarding the type I error and statistical power of the global assessment of RS occurrence, or the overall behavior of the procedure (its ability to detect only truly existing RS) remains quite unknown.…”

Section: Introductionmentioning

confidence: 99%

Overall performance of Oort’s procedure for response shift detection at item level: a pilot simulation study

et al. 2015

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Assessment of response shift using two structural equation modeling techniques

Cited by 24 publications

References 33 publications

Associação entre a qualidade de vida e adesão à medicação de indivíduos hipertensos

Associação entre a qualidade de vida e adesão à medicação de indivíduos hipertensos

An item-level response shift study on the change of health state with the rating of asthma-specific quality of life: a report from the PROMIS® Pediatric Asthma Study

Overall performance of Oort’s procedure for response shift detection at item level: a pilot simulation study

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