ArticleImplementation science : IS2014
Expanded Quality Management Using Information Power (EQUIP): protocol for a quasi-experimental study to improve maternal and newborn health in Tanzania and Uganda.
Article in Implementation science : IS, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers, 3 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Effects of consumers and health providers working in partnership on health services planning, delivery and evaluation.The Cochrane database of systematic reviews · 2021Pooled it
- Methods to measure effects of social accountability interventions in reproductive, maternal, newborn, child, and adolescent health programs: systematic review and critique.Journal of health, population, and nutrition · 2020Pooled it
- Pooled it
- Child health and the implementation of Community and District-management Empowerment for Scale-up (CODES) in Uganda: a randomised controlled trial.BMJ global health · 2021Trial
- Trial
- Effectiveness of a Home-Based Counselling Strategy on Neonatal Care and Survival: A Cluster-Randomised Trial in Six Districts of Rural Southern Tanzania.PLoS medicine · 2015Trial
- Harnessing the health systems strengthening potential of quality improvement using realist evaluation: an example from southern Tanzania.Health policy and planning · 2020Article
- Bypassing or successful referral? A population-based study of reasons why women travel far for childbirth in Eastern Uganda.BMC pregnancy and childbirth · 2020Article
- Towards improved health service quality in Tanzania: contribution of a supportive supervision approach to increased quality of primary healthcare.BMC health services research · 2019Observational
- Delayed illness recognition and multiple referrals: a qualitative study exploring care-seeking trajectories contributing to maternal and newborn illnesses and death in southern Tanzania.BMC health services research · 2019Article
- Studying social accountability in the context of health system strengthening: innovations and considerations for future work.Health research policy and systems · 2019Article
- Linking data sources for measurement of effective coverage in maternal and newborn health: what do we learn from individual- vs ecological-linking methods?Journal of global health · 2018Article
- Article
- Contextual factors in maternal and newborn health evaluation: a protocol applied in Nigeria, India and Ethiopia.Emerging themes in epidemiology · 2018Article
- Illness recognition and care-seeking for maternal and newborn complications in rural eastern Uganda.Journal of health, population, and nutrition · 2017Article
- Using contraceptives to delay first birth: a qualitative study of individual, community and health provider perceptions in southern Tanzania.BMC public health · 2017Article
- Effects of the EQUIP quasi-experimental study testing a collaborative quality improvement approach for maternal and newborn health care in Tanzania and Uganda.Implementation science : IS · 2017Article
- Unpredictability dictates quality of maternal and newborn care provision in rural Tanzania-A qualitative study of health workers' perspectives.BMC pregnancy and childbirth · 2017Article
- Delaying first birth: an analysis of household survey data from rural Southern Tanzania.BMC public health · 2017Article
- Bottleneck analysis at district level to illustrate gaps within the district health system in Uganda.Global health action · 2017Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors.
Funding
Abstract
backgroundMaternal and newborn mortality remain unacceptably high in sub-Saharan Africa. Tanzania and Uganda are committed to reduce maternal and newborn mortality, but progress has been limited and many essential interventions are unavailable in primary and referral facilities. Quality management has the potential to overcome low implementation levels by assisting teams of health workers and others finding local solutions to problems in delivering quality care and the underutilization of health services by the community. Existing evidence of the effect of quality management on health worker performance in these contexts has important limitations, and the feasibility of expanding quality management to the community level is unknown. We aim to assess quality management at the district, facility, and community levels, supported by information from high-quality, continuous surveys, and report effects of the quality management intervention on the utilization and quality of services in Tanzania and Uganda.
methodsIn Uganda and Tanzania, the Expanded Quality Management Using Information Power (EQUIP) intervention is implemented in one intervention district and evaluated using a plausibility design with one non-randomly selected comparison district. The quality management approach is based on the collaborative model for improvement, in which groups of quality improvement teams test new implementation strategies (change ideas) and periodically meet to share results and identify the best strategies. The teams use locally-generated community and health facility data to monitor improvements. In addition, data from continuous health facility and household surveys are used to guide prioritization and decision making by quality improvement teams as well as for evaluation of the intervention. These data include input, process, output, coverage, implementation practice, and client satisfaction indicators in both intervention and comparison districts. Thus, intervention districts receive quality management and continuous surveys, and comparison districts-only continuous surveys. DISCUSSION: EQUIP is a district-scale, proof-of-concept study that evaluates a quality management approach for maternal and newborn health including communities, health facilities, and district health managers, supported by high-quality data from independent continuous household and health facility surveys. The study will generate robust evidence about the effectiveness of quality management and will inform future nationwide implementation approaches for health system strengthening in low-resource settings.
trial registrationPACTR201311000681314.
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