Psychometric evaluation of the German version of the Patient Satisfaction with Cancer-related Care questionnaire View Full Text


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Article Info

DATE

2020-10-27

AUTHORS

Frederike Bokemeyer, Lukas Lange-Drenth, Pascal Jean-Pierre, Holger Schulz, Christiane Bleich

ABSTRACT

BackgroundPatient satisfaction is a fundamental aspect of perceived health care quality. The original English version of the Patient Satisfaction with Cancer-related Care (PSCC) is a psychometrically validated, one-dimensional instrument with relevance to cancer-related care. The goal of the study was to perform a psychometric validation of the PSCC in German (PSCC-G).MethodsA sample of 394 cancer patients were recruited at oncological clinics in Hamburg, Germany. Patients completed the PSCC-G, three subscales of the Patient Satisfaction and Quality in Oncological Care (PASQOC), and one subscale from the German version of the Recherché Evaluative sur la Performance des Réseaux de Santé (RESPERE-60) questionnaire. We conducted exploratory and confirmatory factor analyses (EFA and CFA) to determine the factorial validity, and we calculated Cronbach’s coefficient alpha (α) to test the internal consistency of the PSCC-G. We examined the correlation between the PSCC-G and four subscales measuring additional dimensions of PS with care. We also conducted a multiple linear regression analysis to determine whether sociodemographics, self-perceived health status, and treatment setting predict scores on the PSCC-G.ResultsThe EFA (using principal axis) revealed a one-factor solution. The Cronbach’s α was 0.92. The convergent validity showed high correlations between three different subscales measuring patient satisfaction and the PSCC-G. Overall, males, older age patients, and those with a higher self-perceived health status were more satisfied with their cancer care based on their higher scores on the PSCC-G.ConclusionThe PSCC-G is a reliable and valid instrument that can assess satisfaction with cancer-related care for German-speaking cancer patients. More... »

PAGES

983

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    http://scigraph.springernature.com/pub.10.1186/s12913-020-05838-7

    DOI

    http://dx.doi.org/10.1186/s12913-020-05838-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1132012917

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/33109191


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    43 Cronbach's α
    44 EFA
    45 English version
    46 Evaluative
    47 German
    48 German version
    49 Germany
    50 Hamburg
    51 PREDICT score
    52 PS
    53 PSCC
    54 additional dimension
    55 age patients
    56 alpha
    57 analysis
    58 aspects
    59 cancer care
    60 cancer patients
    61 cancer-related care
    62 care
    63 care quality
    64 clinic
    65 coefficient alpha
    66 confirmatory factor analysis
    67 consistency
    68 convergent validity
    69 correlation
    70 different subscales
    71 dimensions
    72 evaluation
    73 factor analysis
    74 factorial validity
    75 fundamental aspects
    76 goal
    77 health care quality
    78 health status
    79 high correlation
    80 higher scores
    81 higher self-perceived health status
    82 instrument
    83 internal consistency
    84 linear regression analysis
    85 males
    86 multiple linear regression analysis
    87 old age patients
    88 oncological care
    89 oncological clinics
    90 one-dimensional instrument
    91 one-factor solution
    92 original English version
    93 patient satisfaction
    94 patients
    95 performance
    96 psychometric evaluation
    97 psychometric validation
    98 quality
    99 questionnaire
    100 regression analysis
    101 relevance
    102 samples
    103 satisfaction
    104 scores
    105 self-perceived health status
    106 sociodemographics
    107 solution
    108 status
    109 study
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