Comparison of Multivariate Analysis Methodologies in a Palliative Care Setting

Isabel Pinto Doria; Ana Sousa Ferreira; Otília Dias; Helena Bacelar-Nicolau; Georges Le Calvé

Biometrical Letters (2012)

  • Volume: 49, Issue: 1, page 67-79
  • ISSN: 1896-3811

Abstract

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This study is focused on measuring the quality and the satisfaction with the palliative care provided to oncology patients in domicile. The SERVQUAL methodology adapted for the Portuguese context was used to evaluate the quality of palliative care and patient satisfaction. The Portuguese SERVQUAL questionnaire is composed of five perception scales and two questionnaires, one about the patient and another about the caregiver. The data analysis presented is the analysis of the answers to the five perception scales, composed of partial ordered variables, evaluating different aspects of quality and satisfaction.The data was analysed comparing metric and symbolic approaches, using Principal Component Analysis Methods and Agglomerative Hierarchical Cluster Analysis Models. The results suggest that a symbolic approach provides a more comprehensive analysis for this kind of data.

How to cite

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Isabel Pinto Doria, et al. "Comparison of Multivariate Analysis Methodologies in a Palliative Care Setting." Biometrical Letters 49.1 (2012): 67-79. <http://eudml.org/doc/268898>.

@article{IsabelPintoDoria2012,
abstract = {This study is focused on measuring the quality and the satisfaction with the palliative care provided to oncology patients in domicile. The SERVQUAL methodology adapted for the Portuguese context was used to evaluate the quality of palliative care and patient satisfaction. The Portuguese SERVQUAL questionnaire is composed of five perception scales and two questionnaires, one about the patient and another about the caregiver. The data analysis presented is the analysis of the answers to the five perception scales, composed of partial ordered variables, evaluating different aspects of quality and satisfaction.The data was analysed comparing metric and symbolic approaches, using Principal Component Analysis Methods and Agglomerative Hierarchical Cluster Analysis Models. The results suggest that a symbolic approach provides a more comprehensive analysis for this kind of data.},
author = {Isabel Pinto Doria, Ana Sousa Ferreira, Otília Dias, Helena Bacelar-Nicolau, Georges Le Calvé},
journal = {Biometrical Letters},
keywords = {Agglomerative Hierarchical Cluster Analysis; Multivariate Analysis; Palliative Care; Principal Component Analysis; Symbolic variables},
language = {eng},
number = {1},
pages = {67-79},
title = {Comparison of Multivariate Analysis Methodologies in a Palliative Care Setting},
url = {http://eudml.org/doc/268898},
volume = {49},
year = {2012},
}

TY - JOUR
AU - Isabel Pinto Doria
AU - Ana Sousa Ferreira
AU - Otília Dias
AU - Helena Bacelar-Nicolau
AU - Georges Le Calvé
TI - Comparison of Multivariate Analysis Methodologies in a Palliative Care Setting
JO - Biometrical Letters
PY - 2012
VL - 49
IS - 1
SP - 67
EP - 79
AB - This study is focused on measuring the quality and the satisfaction with the palliative care provided to oncology patients in domicile. The SERVQUAL methodology adapted for the Portuguese context was used to evaluate the quality of palliative care and patient satisfaction. The Portuguese SERVQUAL questionnaire is composed of five perception scales and two questionnaires, one about the patient and another about the caregiver. The data analysis presented is the analysis of the answers to the five perception scales, composed of partial ordered variables, evaluating different aspects of quality and satisfaction.The data was analysed comparing metric and symbolic approaches, using Principal Component Analysis Methods and Agglomerative Hierarchical Cluster Analysis Models. The results suggest that a symbolic approach provides a more comprehensive analysis for this kind of data.
LA - eng
KW - Agglomerative Hierarchical Cluster Analysis; Multivariate Analysis; Palliative Care; Principal Component Analysis; Symbolic variables
UR - http://eudml.org/doc/268898
ER -

References

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  1. BaBakus E., Mangold W.G. (1992): Adapting the SERVQUAL Scale to Hospital Services: An Empirical Investigation. Health Services Research 26(6): 767-786.[PubMed] 
  2. Nicolau F., Bacelar-Nicolau H. (1998): Some Trends in the Classification of Variables. In: C.Hayashi, N. Ohsumi, K. Yajima, Y. Tanaka, H. H. Bock, Y. Baba (eds.): Data Science, Classification, and Related Methods, Springer-Verlag: 89-98. Zbl0894.62075
  3. Le Calvé G. (1977): Un indice de similarité pour des variables de type quelconque. Revue Statistique et Analyse des Données 01/02: 39-47. 
  4. Daniels H.E. (1944): The relation between measures of correlation in the universe of sample permutations. Biometrika, 33, 129-135. Zbl0063.01034
  5. Bock H.-H.; Diday E. (Eds.) (2000): Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data. Series: Studies in Classification, Data Analysis, and Knowledge Organization, Springer. Zbl1039.62501
  6. Bacelar-Nicolau H. (1972): Analyse d’un Algorithme de Classification. Thèse de 3 ème cycle, Université Pierre et Marie Curie, Paris. 
  7. Bacelar-Nicolau H. (1980). Contribuições ao Estudo dos Coeficientes de Comparação em Análise Classificatória. Phd Thesis, Faculdade de Ciências da Universidade de Lisboa. 
  8. Bacelar-Nicolau H. (1988): Two Probabilistic Models for Classification of Variables in Frequency Tables. In: Bock, H.H.(eds.): Classification and Related Methods of Data Analysis, 181-186. North Holland. Zbl0729.62546
  9. Bacelar-Nicolau H. (2000): The affinity coefficient. In: H.-H. Bock and E. Diday (eds.): Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data. Springer-Verlag, Berlin/Heidelber: 160-165. Zbl0977.62066
  10. Bacelar-Nicolau H., Dias O., Sousa Ferreira A. (2005): Humanização dos Cuidados Paliativos: Análise Multivariada de um Questionário de Qualidade/Satisfação ao Apoio Domiciliário. In: Livro de Resumos das XII Jornadas de Classificação e Análise de Dados, JOCLAD 2005: 70-71. 
  11. Doria I., Dias O., Sousa Ferreira A., Le Calvé G., Bacelar-Nicolau H. (2007): Comparison of methodologies of multivariate analysis in a palliative care context. In: Livro de resumos da XI Conferencia Española de Biometria e Primer Encuentro Iberoamericano de Biometria (CEIB2007): 101-102. 
  12. Doria I. (2008): Representações euclidianas de dados: Uma abordagem para variáveis heterogéneas. Phd Thesis, Universidade de Lisboa, Lisboa. 
  13. Lerman I.C. (1970): Sur l’Analyse des Données Préalable à une Classification Automatique. Proposition d’une Nouvelle Mesure de Similarité. MSH, rapport 32 (8e. année), Paris. Zbl0221.62021
  14. Lerman I.C. (1973): Étude Distributionnelle de Statistiques de Proximité entre Structures Algébriques Finies de Même Type. Application à la Classification Automatique. Cahiers du Bureau Universitaire de Recherche Opérationnelle, n. 19. Institut de Statistique de l'Université de Paris, Paris. 

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