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Effective management of district-level malaria control and elimination: implementing quality and participative process improvements.

Bruce AginsPeter CaseDaniel ChandramohanIngrid ChenRudo ChikodzorePrecious ChitapiAmanda ChungRoly GoslingJonathan GoslingMatsiliso GumbiDaniel IkedaMunashe MadingaPeliwe MnguniJoseph MurunguCara Smith GueyeJim TullochGreyling Viljoennull null
Published in: BMC public health (2022)
Although it is widely recognized that strong program management is essential to achieving better health outcomes, this priority is not recognized in malaria programmatic practices. Increased management precision offers the opportunity to improve the effectiveness of malaria interventions, overcoming operational barriers to intervention coverage and accelerating the path to elimination. Here we propose a combined approach involving quality improvement, quality management, and participative process improvement, which we refer to as Combined Quality and Process Improvement (CQPI), to improve upon malaria program management. We draw on evidence from other areas of public health, as well as pilot implementation studies in Eswatini, Namibia and Zimbabwe to support the proposal. Summaries of the methodological approaches employed in the pilot studies, overview of activities and an outline of lessons learned from the implementation of CQPI are provided. Our findings suggest that a malaria management strategy that prioritizes quality and participative process improvements at the district-level can strengthen teamwork and communication while enabling the empowerment of subnational staff to solve service delivery challenges. Despite the promise of CQPI, however, policy makers and donors are not aware of its potential. Investments are therefore needed to allow CQPI to come to fruition.
Keyphrases
  • quality improvement
  • public health
  • healthcare
  • primary care
  • randomized controlled trial
  • plasmodium falciparum
  • patient safety
  • mental health
  • systematic review
  • clinical trial
  • machine learning
  • south africa
  • big data