Supply chain integration and operational performance of Kenya’s public health sector

This research objective is to determine the effect of the Supply Chain Integration dimensions on the operational performance of the of Kenya’s public health sector level five hospitals. The results are based on close-ended questionnaires from one hundred and sixty-four respondents working in the level five health facilities supply chain selected using simple random sampling. The data collected was subjected to completeness checks, before it was cleaned, coded, and analyzed using Statistical Package for Social Scientists (SPSS) for the generation of both descriptive and inferential statistics. The results show that Supplier integration (?1, = 0.276; p value=0.000), customer integration (?2, = 0.119; p value=0.016) and internal integration (?3, = 0.232; p value=0.000) have a significant effect on operational performance. The R2was 0.429, indicating that 42.9% of the variation in operational performance is explicated by the variation of Supply chain integration dimensions.  This implies that all three supply chain integration dimensions significantly influence operational performance. The study concludes that the government needs to internally integrate and embrace forward and backward integration with the customers and suppliers to leap the full benefits of an integrated health sector to accomplish the universal health care goals

RECURSIVE DCT KERNELS FOR REDUCED QUANTIZATION NOISE

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Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Background: Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods: This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was coprioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low-middle-income countries. Results: In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of 'single-use' consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low-middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion: This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high- and low-middle-income countries