The Impact of Lean Six Sigma Practices on Physiotherapy Services Quality at UNRWA Healthcare Centers, Gaza Strip, Palestine
Bibliographic record
Abstract
Integrating Lean and Six Sigma found a powerful business tool for the strategy improvement process and saving time is produced. The main aim of this study is to identify the impact of Lean Six Sigma (LSS) practices on physiotherapy service quality at healthcare centers of the United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), using a descriptive-analytical approach. Data were collected using a questionnaire distributed among 49 physiotherapists working at UNRWA healthcare centers as a census sampling method between July 2016 and August 2017, following the stratified random sampling method. The Statistical Package for Social Science (SPSS) was used to analyze the collected data. The results revealed that there was a statistically significant relationship between Lean Six Sigma (LSS) dimensions and the quality of healthcare services provided in physiotherapy units at the UNRWA healthcare centers. Moreover, the application of Lean Six Sigma dimensions was adopted at 81% of UNRWA healthcare centers. Moreover, the percentage of patients’ satisfaction regarding the quality of healthcare services provided in physiotherapy units was 89%. The study emphasized the effectiveness of Lean Six Sigma dimensions application on the quality healthcare services provided in physiotherapy units at the UNRWA healthcare centers. Furthermore, employee training and reward according to a needs assessment to implement Lean Six Sigma successfully is highly recommended.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".