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Research Article
SETH AYISI JUNIOR ADDO
University of Stavanger
Corresponding Author
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Background- This paper assesses the psychometric qualities of the Patient Experience Questionnaire (PEQ), thereby validating a patient-oriented service climate measurement model in a hospital environment, and modifies the model based on empirical results. This study employed survey data gathered by the Norwegian Institute of Public Health from adult inpatients at somatic hospitals in the Health South-East RHF in Norway. The survey engaged 4,603 patients out of 8,381 from 5 main hospitals in the region. Data was analysed with the aid of AMOS, SPSS, and Microsoft Excel.
Results- The study found that an 8-factor model of the PEQ generally showed good fitness to the data, but assessment of discriminant validity showed that this was not the optimal factor solution among 4 of the 8 dimensions. After comparisons of models, support was finally found for a model with a second-order factor for 4 of the factors: “nurse services”, “doctor services”, “information”, and “organisation”, collectively named “treatment services”. The proposed model demonstrated good validity and reliability results.
Conclusions- The results present theoretical and practical implications. The study recommends that inferential analyses on the PEQ should be done with the second-order factor. Also, a revision of the PEQ is recommended subject to more confirmatory studies with larger samples in different regions. The study indicates a second-order factor structure for assessing and understanding patient experiences, a finding having both theoretical and managerial implications.
Keywords
patient experiences, PREMs, psychometrics, CFA, hospital, service climate, second-order factor, Norway
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No competing interests reported.
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A new preprint design is coming!
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
SETH AYISI JUNIOR ADDO
University of Stavanger
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 09 Mar, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background- This paper assesses the psychometric qualities of the Patient Experience Questionnaire (PEQ), thereby validating a patient-oriented service climate measurement model in a hospital environment, and modifies the model based on empirical results. This study employed survey data gathered by the Norwegian Institute of Public Health from adult inpatients at somatic hospitals in the Health South-East RHF in Norway. The survey engaged 4,603 patients out of 8,381 from 5 main hospitals in the region. Data was analysed with the aid of AMOS, SPSS, and Microsoft Excel.
Results- The study found that an 8-factor model of the PEQ generally showed good fitness to the data, but assessment of discriminant validity showed that this was not the optimal factor solution among 4 of the 8 dimensions. After comparisons of models, support was finally found for a model with a second-order factor for 4 of the factors: “nurse services”, “doctor services”, “information”, and “organisation”, collectively named “treatment services”. The proposed model demonstrated good validity and reliability results.
Conclusions- The results present theoretical and practical implications. The study recommends that inferential analyses on the PEQ should be done with the second-order factor. Also, a revision of the PEQ is recommended subject to more confirmatory studies with larger samples in different regions. The study indicates a second-order factor structure for assessing and understanding patient experiences, a finding having both theoretical and managerial implications.
Figure 1
Figure 2
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
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