A nationwide quality improvement project to accelerate Ghana's progress toward Millennium Development Goal Four: design and implementation progress.

QUALITY PROBLEM: The gap between evidence-based guidelines and practice of care is reflected, in low- and middle-income countries, by high rates of maternal and child mortality and limited effectiveness of large-scale programing to decrease those rates. CHOICE OF SOLUTION: We designed a phased, rapid, national scale-up quality improvement (QI) intervention to accelerate the achievement of Millennium Development Goal Four in Ghana. Our intervention promoted systems thinking, active participation of managers and frontline providers, generation and testing of local change ideas using iterative learning from transparent district and local data, local ownership and sustainability. IMPLEMENTATION: After 50 months of implementation, we have completed two prototype learning phases and have begun regional spread phases to all health facilities in all 38 districts of the three northernmost regions and all 29 Catholic hospitals in the remaining regions of the country. To accelerate the spread of improvement, we developed 'change packages' of rigorously tested process changes along the continuum of care from pregnancy to age 5 in both inpatient and outpatient settings. LESSONS LEARNED: The primary successes for the project so far include broad and deep adoption of QI by local stakeholders for improving system performance, widespread capacitation of leaders, managers and frontline providers in QI methods, incorporation of local ideas into change packages and successful scale-up to approximately 25% of the country's districts in 3 years. Implementation challenges include variable leadership uptake and commitment at the district level, delays due to recruiting and scheduling barriers, weak data systems and repeated QI training due to high staff turnover.

Translating research findings into practice--the implementation of kangaroo mother care in Ghana.

BACKGROUND: Kangaroo mother care (KMC) is a safe and effective method of caring for low birth weight infants and is promoted for its potential to improve newborn survival. Many countries find it difficult to take KMC to scale in healthcare facilities providing newborn care. KMC Ghana was an initiative to scale up KMC in four regions in Ghana. Research findings from two outreach trials in South Africa informed the design of the initiative. Two key points of departure were to equip healthcare facilities that conduct deliveries with the necessary skills for KMC practice and to single out KMC for special attention instead of embedding it in other newborn care initiatives. This paper describes the contextualisation and practical application of previous research findings and the results of monitoring the progress of the implementation of KMC in Ghana. METHODS: A three-phase outreach intervention was adapted from previous research findings to suit the local setting. A more structured system of KMC regional steering committees was introduced to drive the process and take the initiative forward. During Phase I, health workers in regions and districts were oriented in KMC and received basic support for the management of the outreach. Phase II entailed the strengthening of the regional steering committees. Phase III comprised a more formal assessment, utilising a previously validated KMC progress-monitoring instrument. RESULTS: Twenty-six out of 38 hospitals (68 %) scored over 10 out of 30 and had reached the level of 'evidence of practice' by the end of Phase III. Seven hospitals exceeded expected performance by scoring at the level of 'evidence of routine and institutionalised practice.' The collective mean score for all participating hospitals was 12.07. Hospitals that had attained baby-friendly status or had been re-accredited in the five years before the intervention scored significantly better than the rest, with a mean score of 14.64. CONCLUSION: The KMC Ghana initiative demonstrated how research findings regarding successful outreach for the implementation of KMC could be transferred to a different context by making context-appropriate adaptations to the model.