The Gas Cylinder, the Motorcycle and the Village Health Team Member: A Proof-of-Concept Study for the Use of the Microsystems Quality Improvement Approach to Strengthen the Routine Immunization System in Uganda

Although global efforts to support routine immunization (RI) system strengthening have resulted in higher immunization rates, the World Health Organization (WHO) estimates that the proportion of children receiving recommended DPT3 vaccines has stagnated at 80% for the past 3 years (WHO Fact sheet-Immunization coverage 2014, WHO, 2014). Meeting the WHO goal of 90% national DPT3 coverage may require locally based strategies to support conventional approaches. The Africa Routine Immunization Systems Essentials-System Innovation (ARISE-SI) initiative is a proof-of-concept study to assess the application of the Microsystems Quality Improvement Approach for generating local solutions to strengthen RI systems and reach those unreached by current efforts in Masaka District, Uganda. The ARISE-SI intervention had three components: health unit (HU) advance preparations, an action learning collaborative, and coaching of improvement teams. The intervention was informed and assessed using qualitative and quantitative methods. Data collection focused on changes and outcomes of improvement efforts among five HUs and one district-level team during the intervention (June 2011-February 2012) and five follow-up months

Current Practice of Neonatal Resuscitation Documentation in North America: A Multi-Center Retrospective Chart Review

Background To determine the comprehensiveness of neonatal resuscitation documentation and to determine the association of various patient, provider and institutional factors with completeness of neonatal documentation. Methods Multi-center retrospective chart review of a sequential sample of very low birth weight infants born in 2013. The description of resuscitation in each infant’s record was evaluated for the presence of 29 Resuscitation Data Items and assigned a Number of items documented per record. Covariates associated with this Assessment were identified. Results Charts of 263 infants were reviewed. The mean gestational age was 28.4 weeks, and the mean birth weight 1050 g. Of the infants, 69 % were singletons, and 74 % were delivered by Cesarean section. A mean of 13.2 (SD 3.5) of the 29 Resuscitation Data Items were registered for each birth. Items most frequently present were; review of obstetric history (98 %), Apgar scores (96 %), oxygen use (77 %), suctioning (71 %), and stimulation (62 %). In our model adjusted for measured covariates, the institution was significantly associated with documentation. Conclusions Neonatal resuscitation documentation is not standardized and has significant variation. Variation in documentation was mostly dependent on institutional factors, not infant or provider characteristics. Understanding this variation may lead to efforts to standardize documentation of neonatal resuscitation

Aletheia-20 unconcealed observations from quality improvement and evidence-based medicine.

Quality improvement (QI) and evidence-based medicine (EBM) activities ideally generate value (benefit/cost). Physicians and hospitals vary in ability to demonstrate efficiency despite common methodology available to all. Based upon our 60-some years of combined QI and EBM experience, we suggest reasoned consideration of meta-cognition-thinking about thinking. How do we observe, analyze, intuit, then share observations and learning with collaborative networks? The Greek word aletheia denotes disclosure of the essence of an object or event as its genuine nature, unhidden, revealed, unconcealed . Aletheia is authenticity, not a claim or opinion, not an argument or hypothesis, nor an intervention-based assertion. QI and EBM have crucial features obscured by the lure and distraction of technology, economic conflicts, and inherent self-interests. We offer 20 QI and EBM observations in the spirit of aletheia. Enhancing the well-being of children is the foundation of a civilized society, a journey needful of shared QI understanding

Cost-effectiveness of strategies that are intended to prevent kernicterus in newborn infants

OBJECTIVE: There is concern about an increasing incidence of kernicterus in healthy term neonates in the United States. Although the incidence of kernicterus is unknown, several potential strategies that are intended to prevent kernicterus have been proposed by experts. It is necessary to assess the costs, benefits, and risks of such strategies before widespread policy changes are made. The objective of this study was to determine the direct costs to prevent a case of kernicterus with the following 3 strategies: (1) universal follow-up in the office or at home within 1 to 2 days of early newborn discharge, (2) routine predischarge serum bilirubin with selective follow-up and laboratory testing, and (3) routine predischarge transcutaneous bilirubin with selective follow-up and laboratory testing. METHODS: We performed an incremental cost-effectiveness analysis of the 3 strategies compared with current practice. We used a decision analytic model and a spreadsheet to estimate the direct costs and outcomes, including the savings resulting from prevented kernicterus, for an annual cohort of 2,800000 healthy term newborns who are eligible for early discharge. We used a modified societal perspective and 2002 US dollars. With each strategy, the test and treatment thresholds for hyperbilirubinemia are lowered compared with current practice. RESULTS: With the base-case assumptions (current incidence of kernicterus 1:100 000 and a relative risk reduction [RRR] of 0.7 with each strategy), the cost to prevent 1 case of kernicterus was 10,321463 dollars, 5,743905 dollars, and 9,191352 dollars respectively for strategies 1, 2, and 3 listed above. The total annual incremental costs for the cohort were, respectively, 202,300671 dollars, 112,580535 dollars, and 180,150494 dollars. Sensitivity analyses showed that the cost per case is highly dependent on the population incidence of kernicterus and the RRR with each strategy, both of which are currently unknown. In our model, annual cost savings of 46,179465 dollars for the cohort would result with strategy 2, if the incidence of kernicterus is high (1:10,000 births or higher) and the RRR is high (\u3e or =0.7). If the incidence is lower or the RRR is lower, then the cost per case prevented ranged from 4,145676 dollars to as high as 77,650240 dollars. CONCLUSIONS: Widespread implementation of these strategies is likely to increase health care costs significantly with uncertain benefits. It is premature to implement routine predischarge serum or transcutaneous bilirubin screening on a large scale. However, universal follow-up may have benefits beyond kernicterus prevention, which we did not include in our model. Research is required to determine the epidemiology, risk factors, and causes of kernicterus; to evaluate the effectiveness of strategies intended to prevent kernicterus; and to determine the cost per quality-adjusted life year with any proposed preventive strategy

Optimized OR-Sets without ordering constraints

Eventual consistency is a relaxation of strong consistency that guarantees that if no new updates are made to a replicated data object, then all replicas will converge. The conflict free replicated datatypes (CRDTs) of Shapiro et al. are data structures whose inherent mathematical structure guarantees eventual consistency. We investigate a fundamental CRDT called Observed-Remove Set (OR-Set) that robustly implements sets with distributed add and delete operations. Existing CRDT implementations of OR-Sets either require maintaining a permanent set of “tombstones” for deleted elements, or imposing strong constraints such as causal order on message delivery. We formalize a concurrent specification for OR-Sets without ordering constraints and propose a generalized implementation of OR-sets without tombstones that provably satisfies strong eventual consistency. We introduce Interval Version Vectors to succinctly keep track of distributed time-stamps in systems that allow out-of-order delivery of messages. The space complexity of our generalized implementation is competitive with respect to earlier solutions with causal ordering. We also formulate k-causal delivery, a generalization of causal delivery, that provides better complexity bounds

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