Assessing Patient Experience and Attitude: BSC-PATIENT Development, Translation, and Psychometric Evaluation—A Cross-Sectional Study Article Swipe
Faten Amer
,
Sahar Hammoud
,
David Onchonga
,
Abdulsalam Alkaiyat
,
Abdulnaser Ibrahim Nour
,
D. Endrei
,
I Boncz
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph19127149
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph19127149
Health care organizations (HCO) did not consider engaging patients in balanced scorecard (BSC) implementations to evaluate their performance. This paper aims to develop an instrument to engage patients in assessing BSC perspectives (BSC-PATIENT) and customize it for Palestinian hospitals. Two panels of experts participated in the item generation of BSC-PATIENT. Translation was performed based on guidelines. Pretesting was performed for 30 patients at one hospital. Then, 1000 patients were recruited at 14 hospitals between January and October 2021. Construct validity was tested through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Additionally, the composite reliability (CR), interitem correlation (IIC), and corrected item total correlation (CITC) were assessed to find redundant and low correlated items. As a result, the scales had a highly adequate model fit in the EFA and CFA. The final best fit model in CFA comprised ten constructs with 36 items. In conclusion, BSC-PATIENT is the first self-administered questionnaire specifically developed to engage patients in BSC and will allow future researchers to evaluate the impact of patient experience on attitudes toward BSC perspectives, as well as to compare the differences based on patient and hospital characteristics.
Related Topics
Concepts
Confirmatory factor analysis
Exploratory factor analysis
Balanced scorecard
Construct validity
Reliability (semiconductor)
Cross-sectional study
Medicine
Psychology
Construct (python library)
Psychometrics
Structural equation modeling
Clinical psychology
Computer science
Process management
Programming language
Machine learning
Power (physics)
Pathology
Physics
Business
Quantum mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijerph19127149
- https://www.mdpi.com/1660-4601/19/12/7149/pdf?version=1664356277
- OA Status
- gold
- Cited By
- 18
- References
- 73
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281747561
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4281747561Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ijerph19127149Digital Object Identifier
- Title
-
Assessing Patient Experience and Attitude: BSC-PATIENT Development, Translation, and Psychometric Evaluation—A Cross-Sectional StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-10Full publication date if available
- Authors
-
Faten Amer, Sahar Hammoud, David Onchonga, Abdulsalam Alkaiyat, Abdulnaser Ibrahim Nour, D. Endrei, I BonczList of authors in order
- Landing page
-
https://doi.org/10.3390/ijerph19127149Publisher landing page
- PDF URL
-
https://www.mdpi.com/1660-4601/19/12/7149/pdf?version=1664356277Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1660-4601/19/12/7149/pdf?version=1664356277Direct OA link when available
- Concepts
-
Confirmatory factor analysis, Exploratory factor analysis, Balanced scorecard, Construct validity, Reliability (semiconductor), Cross-sectional study, Medicine, Psychology, Construct (python library), Psychometrics, Structural equation modeling, Clinical psychology, Computer science, Process management, Programming language, Machine learning, Power (physics), Pathology, Physics, Business, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
18Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 6, 2024: 4, 2023: 2, 2022: 6Per-year citation counts (last 5 years)
- References (count)
-
73Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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