How to Engage Health Care Workers in the Evaluation of Hospitals: Development and Validation of BSC-HCW1—A Cross-Sectional Study Article Swipe
Faten Amer
,
Sahar Hammoud
,
Haitham Khatatbeh
,
Huda Alfatafta
,
Abdulsalam Alkaiyat
,
Abdulnaser Ibrahim Nour
,
D. Endrei
,
I Boncz
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph19159096
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph19159096
Organizations worldwide utilize the balanced scorecard (BSC) for their performance evaluation (PE). This research aims to provide a tool that engages health care workers (HCWs) in BSC implementation (BSC-HCW1). Additionally, it seeks to translate and validate it at Palestinian hospitals. In a cross-sectional study, 454 questionnaires were retrieved from 14 hospitals. The composite reliability (CR), interitem correlation (IIC), and corrected item total correlation (CITC) were evaluated. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used. In both EFA and CFA, the scale demonstrated a good level of model fit. All the items had loadings greater than 0.50. All factors passed the discriminant validity. Although certain factors’ convergent validity was less than 0.50, their CR, IIC, and CITC were adequate. The final best fit model had nine factors and 28 items in CFA. The BSC-HCW1 is the first self-administered questionnaire to engage HCWs in assessing the BSC dimensions following all applicable rules and regulations. The findings revealed that this instrument’s psychometric characteristics were adequate. Therefore, the BSC-HCW1 can be utilized to evaluate BSC perspectives and dimensions. It will help managers highlight which BSC dimension predicts HCW satisfaction and loyalty and examine differences depending on HCWs’ and hospital characteristics.
Related Topics
Concepts
Balanced scorecard
Confirmatory factor analysis
Exploratory factor analysis
Scale (ratio)
Discriminant validity
Reliability (semiconductor)
Dimension (graph theory)
Cross-sectional study
Psychology
Health care
Loyalty
Validity
Applied psychology
Medicine
Nursing
Psychometrics
Structural equation modeling
Clinical psychology
Computer science
Process management
Marketing
Business
Physics
Pure mathematics
Mathematics
Quantum mechanics
Pathology
Machine learning
Economics
Power (physics)
Internal consistency
Economic growth
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijerph19159096
- https://www.mdpi.com/1660-4601/19/15/9096/pdf?version=1659358186
- OA Status
- gold
- Cited By
- 12
- References
- 100
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4288040476
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4288040476Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ijerph19159096Digital Object Identifier
- Title
-
How to Engage Health Care Workers in the Evaluation of Hospitals: Development and Validation of BSC-HCW1—A Cross-Sectional StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-07-26Full publication date if available
- Authors
-
Faten Amer, Sahar Hammoud, Haitham Khatatbeh, Huda Alfatafta, Abdulsalam Alkaiyat, Abdulnaser Ibrahim Nour, D. Endrei, I BonczList of authors in order
- Landing page
-
https://doi.org/10.3390/ijerph19159096Publisher landing page
- PDF URL
-
https://www.mdpi.com/1660-4601/19/15/9096/pdf?version=1659358186Direct 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/1660-4601/19/15/9096/pdf?version=1659358186Direct OA link when available
- Concepts
-
Balanced scorecard, Confirmatory factor analysis, Exploratory factor analysis, Scale (ratio), Discriminant validity, Reliability (semiconductor), Dimension (graph theory), Cross-sectional study, Psychology, Health care, Loyalty, Validity, Applied psychology, Medicine, Nursing, Psychometrics, Structural equation modeling, Clinical psychology, Computer science, Process management, Marketing, Business, Physics, Pure mathematics, Mathematics, Quantum mechanics, Pathology, Machine learning, Economics, Power (physics), Internal consistency, Economic growthTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
12Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 1, 2023: 3, 2022: 5Per-year citation counts (last 5 years)
- References (count)
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100Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.assessing | 145 |
| abstract_inverted_index.composite | 52 |
| abstract_inverted_index.corrected | 59 |
| abstract_inverted_index.depending | 193 |
| abstract_inverted_index.dimension | 184 |
| abstract_inverted_index.following | 149 |
| abstract_inverted_index.highlight | 181 |
| abstract_inverted_index.interitem | 55 |
| abstract_inverted_index.retrieved | 47 |
| abstract_inverted_index.scorecard | 5 |
| abstract_inverted_index.translate | 33 |
| abstract_inverted_index.validity. | 104 |
| abstract_inverted_index.worldwide | 1 |
| abstract_inverted_index.Therefore, | 165 |
| abstract_inverted_index.applicable | 151 |
| abstract_inverted_index.convergent | 108 |
| abstract_inverted_index.dimensions | 148 |
| abstract_inverted_index.evaluated. | 65 |
| abstract_inverted_index.evaluation | 10 |
| abstract_inverted_index.factors’ | 107 |
| abstract_inverted_index.hospitals. | 39, 50 |
| abstract_inverted_index.(BSC-HCW1). | 28 |
| abstract_inverted_index.Exploratory | 66 |
| abstract_inverted_index.Palestinian | 38 |
| abstract_inverted_index.correlation | 56, 62 |
| abstract_inverted_index.differences | 192 |
| abstract_inverted_index.dimensions. | 176 |
| abstract_inverted_index.performance | 9 |
| abstract_inverted_index.reliability | 53 |
| abstract_inverted_index.confirmatory | 71 |
| abstract_inverted_index.demonstrated | 84 |
| abstract_inverted_index.discriminant | 103 |
| abstract_inverted_index.perspectives | 174 |
| abstract_inverted_index.psychometric | 161 |
| abstract_inverted_index.regulations. | 154 |
| abstract_inverted_index.satisfaction | 187 |
| abstract_inverted_index.Additionally, | 29 |
| abstract_inverted_index.Organizations | 0 |
| abstract_inverted_index.questionnaire | 140 |
| abstract_inverted_index.implementation | 27 |
| abstract_inverted_index.instrument’s | 160 |
| abstract_inverted_index.questionnaires | 45 |
| abstract_inverted_index.characteristics | 162 |
| abstract_inverted_index.cross-sectional | 42 |
| abstract_inverted_index.characteristics. | 198 |
| abstract_inverted_index.self-administered | 139 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5062709161 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I79741316 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.5899999737739563 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.90208682 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |