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The purpose of this study is to see how the 5S-KAIZEN-TQM approach can contribute to improve the management of healthcare waste (HCW) in the regional level public hospitals in Tanzania.

This study employed an explanatory case study framework and focused on improvement of HCW management by assessing the information obtained through the direct observation and systematic interviewing during the consultation visits and external hospital performance assessment (EHPA) and the self-administrated questionnaires as sources of evidence.

Based on the observations, 100% adoption of the 5S approach was observed in 25 of 28 regional referral hospitals (RRHs). At these RRHs, segregation of HCW management has been improved by applying color codes and symbols for establishing self-explanatory system on proper segregation. In addition, seven out of 28 RRHs applied the KAIZEN process and reduced occurrences of improper waste segregation.

This study has the following limitations in terms of the information. The data were collected through the direct observation. Moreover, areas for the implementation of the KAIZEN vary from hospital to hospital, and only 25% of RRHs completed the KAIZEN processes for improvement of HCW management. Caveats are, therefore, needed in extrapolating the study results to other settings. Despite these caveats, the findings will provide important insights for implementing the 5S-KAIZEN approach in Tanzania and other African countries for improvement of HCW management.

This is an original study to provide evidence about the usefulness of the 5S-KAIZEN-TQM approach for improving HCW management in a low-income country in Africa.

The purpose of this paper is to identify factors that influence the implementation of the rollout of the 5S approach in public hospitals in Tanzania, and share the way to scale this up for similar setting in developing countries.

The effect size was calculated from pre- and post-assessment results of Training of Trainers (ToT) to examine the effectiveness of ToT. A questionnaire with 14 explanatory variables was developed and completed based on information collected during Consultation visits (CVs) and progress report meetings (PRMs). Then, data were analysed to identify the influencing factors in relation to outcome variables (CV average score).

Among 14 explanatory variables, five explanatory variables showed statistical significant association with the CV average score. Those are: “Feedback and information sharing,” (p=0.031), “Quality Improvement Team roles and responsibility” (p=0.002), “5S knowledge,” “Involvement and commitment,” and “5S guidelines use and availability,” (p=0.000). When the explanatory variables were controlled by levels of hospitals; “involvement and commitment” was the only explanatory variable for national level hospitals. For regional referral hospitals, “QIT roles and responsibility” (p=0.02) and “5S knowledge” (p=0.03) were statistically significant. For district hospitals, “involvement and commitment” (p=0.01) and “availability of guideline (p=0.001)” were statistically significant.

This study has the following limitations. The data were collected from existing reports and presentation materials only. There might be reporting bias, as PRM data is self-reported from the hospitals. Caution is therefore needed in extrapolating the study results to other settings. Despite these caveats, the findings will provide important insights for designing and implementing QI programs in Tanzania and in other African countries.

The authors' conceptual framework is based on the existing literature on the science of diffusion and scale up of innovation in the health sector. Few studies are known from resource constrain settings in Africa which assess the determinants of the process of nationwide scale-up of proven interventions.