Bennett S, Mahmood SS, Edward A, Tetui M and Ekirapa-Kiracho E (2017) Strengthening scaling up through learning from implementation: comparing experiences from Afghanistan, Bangladesh and Uganda, Health Research Policy and Systems, 15(Suppl 2):108, DOI: 10.1186/s12961-017-0270-0
Many effective innovations and interventions are never effectively scaled up. Implementation research (IR) has the promise of supporting scale-up through enabling rapid learning about the intervention and its fit with the context in which it is implemented. We integrate conceptual frameworks addressing different dimensions of scaling up (specifically, the attributes of the service or innovation being scaled, the actors involved, the context, and the scale-up strategy) and questions commonly addressed by IR (concerning acceptability, appropriateness, adoption, feasibility, fidelity to original design, implementation costs, coverage and sustainability) to explore how IR can support scale-up.
Namazzi G, Okuga M, Tetui M, Kananura RM, Kakaire A, Namutamba S, Mutebi A, Kiwanuka SN, Ekirapa-Kiracho E and Waiswa P (2017) Working with community health workers to improve maternal and newborn health outcomes: implementation and scale-up lessons from eastern Uganda, Global Health Action, 10:sup4, 1345495, DOI: 10.1080/16549716.2017.1345495
Preventable maternal and newborn deaths can be averted through simple evidence-based interventions, such as the use of community health workers (CHWs), also known in Uganda as village health teams. However, the CHW strategy faces implementation challenges regarding training packages, supervision, and motivation. This paper explores knowledge levels of CHWs, describes the coverage of home visits, and shares lessons learnt from setting up and implementing the CHW strategy.
There is widespread agreement on the need for scaling up in the health sector to achieve the Millennium Development Goals (MDGs). But many countries are not on track to reach the MDG targets. The dominant approach used by global health initiatives promotes uniform interventions and targets, assuming that specific technical interventions tested in one country can be replicated across countries to rapidly expand coverage. Yet countries scale up health services and progress against the MDGs at very different rates. Global health initiatives need to take advantage of what has been learned about scaling up.