Search PubMed⌕ Search

PubMed · 15005661

Testing the individualized care model.

Abstract

BACKGROUND: Although there has been some research to identify the dimensions on which individualized care should be measured, the indicators that constitute individualized care remain unclear. OBJECTIVES: To describe briefly the maintenance of individualized care and to test a hypothetical model of individualized care in a sample of surgical patients. DESIGN AND METHODS: A correlational survey design was used. Data were collected with questionnaires from adult patients (n = 454) discharged from surgical wards in one Finnish hospital district (response rate 91%). Structural equation modelling LISREL SIMPLIS using maximum likelihood estimation was used to estimate and test the parameters of the hypothesized model derived deductively from the previous literature. RESULTS: The goodness-of-fit statistics supported the basic solution of the Individualized Care Model, although two additional paths indicating error covariances between the sub-concepts were identified in the revised model. In this model individualized care is defined in terms of patients' views of nursing activities aimed at supporting individuality in care and in terms of perceptions of individuality in their own care. CONCLUSIONS: The model has been found to capture attributes that characterize individualized care. It can be used as a basis for evaluation in clinical nursing practice from patients' point of view. The study highlights the importance of patients' clinical situation, personal life situation and decisional control as predictors of individualized care. The results also confirm the construct validity of the previously developed Individualized Care Scale.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Riitta Suhonen, Maritta Välimäki, Helena Leino-Kilpi, Jouko Katajisto. 2004. Testing the individualized care model.. https://doi.org/10.1111/j.1471-6712.2004.00255.x

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Molecular heterochrony and the evolution of sociality in bumblebees (Bombus terrestris).

Sibling care is a hallmark of social insects, but its evolution remains challenging to explain at the molecular level. The hypothesis that sibling care evolved from ancestral maternal care in primitively eusocial insects has been elaborated to involve heterochronic changes in gene expression. This elaboration leads to the prediction that workers in these species will show patterns of gene expression more similar to foundress queens, who express maternal care behaviour, than to established queens engaged solely in reproductive behaviour. We tested this idea in bumblebees (Bombus terrestris) using a microarray platform with approximately 4500 genes. Unlike the wasp Polistes metricus, in which support for the above prediction has been obtained, we found that patterns of brain gene expression in foundress and queen bumblebees were more similar to each other than to workers. Comparisons of differentially expressed genes derived from this study and gene lists from microarray studies in Polistes and the honeybee Apis mellifera yielded a shared set of genes involved in the regulation of related social behaviours across independent eusocial lineages. Together, these results suggest that multiple independent evolutions of eusociality in the insects might have involved different evolutionary routes, but nevertheless involved some similarities at the molecular level.

Analysis of Variance↗

Confidence intervals for the standardized effect arising in the comparison of two normal populations.

Confidence intervals for a standardized effect are derived after stabilizing the variance of the Welch t-statistic. Simulation studies demonstrate the viability of the resulting intervals for a wide range of parameter values and sample sizes as small as five. The methodology is extended to the combination of results from several studies, so as to obtain a confidence interval for a representative standardized effect for all the studies. The methods are illustrated on a recent meta-analytic study of systolic blood pressure reduction during a weight reducing regime, as well as the classical Mumford data on psychological intervention and hospital length of stay.

Analysis of Variance↗