Scoping review of balanced scorecards for use in healthcare settings: development and implementation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Balanced scorecards (BSCs) were developed in the early 1990s in corporate settings as a strategic performance management tool that emphasised measurement from multiple perspectives. Since their introduction, BSCs have been adapted for a variety of industries, including to healthcare settings. The aim of this scoping review was to describe the application of BSCs in healthcare. METHODS: Medline, Embase and CINHAL databases were searched using keywords and medical subject headings for 'balanced scorecard' and related terms from 1992 to 17/04/2020. Title and abstract screening and full text review were conducted in duplicate by two reviewers. Studies describing the development and/or implementation of a BSC in a healthcare setting were included. Data were abstracted using pilot-tested forms and reviewed for key themes and findings. RESULTS: 8129 records were identified and 841 underwent a full text review. 87 articles were included. Over 26 countries were represented and the majority of BSCs were applied at a local level (54%) in hospital settings (41%). While almost all discussed Kaplan and Norton's original BSC (97%), only 69% described alignment with a strategic plan. Patients/family members were rarely involved in development teams (3%) which typically were comprised of senior healthcare leaders/administrators. Only 21% of BSCs included perspectives using identical formatting to the original BSC description. Lessons learnt during development addressed three main themes: scorecard design, stakeholder engagement and feasibility. CONCLUSIONS: BSC frameworks have been used in various healthcare settings but frequently undergo adaptation from the original description in order to suit a specific healthcare context. Future BSCs should aim to include patients/families to promote patient-centred healthcare systems. Considering the heterogeneity evident in development approaches, methodological guidance in this area is warranted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it