Impact of user fees on maternal health service utilization and related health outcomes: a systematic review.

OBJECTIVE: To assess the evidence of the impact of user fees on maternal health service utilization and related health outcomes in low- and middle-income countries, as well as their impact on inequalities in these outcomes. METHODS: Studies were identified by modifying a search strategy from a related systematic review. Primary studies of any design were included if they reported the effect of fee changes on maternal health service utilization, related health outcomes and inequalities in these outcomes. For each study, data were systematically extracted and a quality assessment conducted. Due to the heterogeneity of study methods, results were examined narratively. FINDINGS: Twenty studies were included. Designs and analytic approaches comprised: two interrupted time series, eight repeated cross-sectional, nine before-and-after without comparison groups and one before-and-after in three groups. Overall, the quality of studies was poor. Few studies addressed potential sources of bias, such as secular trends over time, and even basic tests of statistical significance were often not reported. Consistency in the direction of effects provided some evidence of an increase in facility delivery in particular after fees were removed, as well as possible increases in the number of managed delivery complications. There was little evidence of the effect on health outcomes or inequality in accessing care and, where available, the direction of effect varied. CONCLUSION: Despite the global momentum to abolish user fees for maternal and child health services, robust evidence quantifying impact remains scant. Improved methods for evaluating and reporting on these interventions are recommended, including better descriptions of the interventions and context, looking at a range of outcome measures, and adopting robust analytical methods that allow for adjustment of underlying and seasonal trends, reporting immediate as well as longer-term (e.g. at 6 months and 1 year) effects and using comparison groups where possible

Does expanding primary healthcare improve hospital efficiency? Evidence from a panel analysis of avoidable hospitalisations in 5506 municipalities in Brazil, 2000-2014.

BACKGROUND: Hospitals account for the major share of health expenditure. Primary healthcare may improve efficiency at the hospital level by reducing avoidable admissions. We examined whether rapid expansion of primary healthcare in the context of Brazil's Family Health Strategy (FHS) was associated with a reduction in avoidable hospitalisations. METHODS: We constructed panel data for 5506 municipalities over 2000-2014. Our primary outcome was the rate of avoidable hospitalisations, defined with reference to the official list of ambulatory care sensitive conditions (ACSC). The exposure variable was FHS coverage. We used first-difference models at the municipality level, controlling for municipality characteristics and confounding trends. We ran similar models for each of the 19 diseases in the list of ACSCs. FINDINGS: FHS coverage expanded from 14% to 64% of the population between 2000 and 2014. Over the same period, the rate of avoidable hospitalisations fell from 17 to 10 per 1000 population. Results from the econometric analysis show that the FHS at full coverage was associated with an increase of 0.6 (95% CI 0.3 to 0.9; p<0.001) in the rate of avoidable hospital admissions. Expansion of the FHS was associated with an increase of 866 (95% CI 762 to 970; p<0.001) in the rate of primary care consultations. The FHS was not significantly associated with a reduction in hospitalisations for any of the 19 conditions. CONCLUSIONS: While high-quality primary healthcare can deliver considerable health benefits to the population, it may not always be effective in addressing inefficiencies at the hospital level due to avoidable admissions

Understanding and measuring quality of care: dealing with complexity.

Existing definitions and measurement approaches of quality of health care often fail to address the complexities involved in understanding quality of care. It is perceptions of quality, rather than clinical indicators of quality, that drive service utilization and are essential to increasing demand. Here we reflect on the nature of quality, how perceptions of quality influence health systems and what such perceptions indicate about measurement of quality within health systems. We discuss six specific challenges related to the conceptualization and measurement of the quality of care: perceived quality as a driver of service utilization; quality as a concept shaped over time through experience; responsiveness as a key attribute of quality; the role of management and other so-called upstream factors; quality as a social construct co-produced by families, individuals, networks and providers; and the implications of our observations for measurement. Within the communities and societies where care is provided, quality of care cannot be understood outside social norms, relationships, trust and values. We need to improve not only technical quality but also acceptability, responsiveness and levels of patient-provider trust. Measurement approaches need to be reconsidered. An improved understanding of all the attributes of quality in health systems and their interrelationships could support the expansion of access to essential health interventions

How Wisconsin Farmers Feed theirCows: Results of the 1999 Wisconsin Dairy Herd Feeding Study

The Wisconsin dairy industry has seen dramatic changes over the last 20 years (Jackson- Smith and Barham, 2000). Overall, dairy farm numbers have been cut in half since the early 1980s, and the average size of remaining herds has increased by more than 60 percent (from roughly 40 cows to over 65 cows per herd). Despite these changes, most dairies are still single-family businesses, relying on household members for virtually all their farm labor requirements (Buttel et al., 2000). In 1998, state statistics suggested that over 70 percent of Wisconsin dairy operations were milking between 30 and 99 cows, and that these herds produced approximately 62 percent of the state’s milk. At the same time, there are growing numbers of relatively large dairy operations in the state, many of which milk cows in new parlor/freestall facilities and use a wide range of modern dairy production technologies and management practices. Farms with over 100 cows account for just 11 percent of all herds, but produce over onethird of the state’s milk

Financial incentives in health: New evidence from India's Janani Suraksha Yojana.

This paper studies the health effects of one of the world's largest demand-side financial incentive programmes--India's Janani Suraksha Yojana. Our difference-in-difference estimates exploit heterogeneity in the implementation of the financial incentive programme across districts. We find that cash incentives to women were associated with increased uptake of maternity services but there is no strong evidence that the JSY was associated with a reduction in neonatal or early neonatal mortality. The positive effects on utilisation are larger for less educated and poorer women, and in places where the cash payment was most generous. We also find evidence of unintended consequences. The financial incentive programme was associated with a substitution away from private health providers, an increase in breastfeeding and more pregnancies. These findings demonstrate the potential for financial incentives to have unanticipated effects that may, in the case of fertility, undermine the programme's own objective of reducing mortality

Effectiveness of primary care gatekeeping: difference-in-differences evaluation of a pilot scheme in China.

INTRODUCTION: This paper evaluates the effectiveness of a gatekeeping pilot in shifting resources and patient visits from hospitals to primary care facilities under the Chinese New Rural Cooperative Medical Scheme. METHODS: We applied a difference-in-differences regression analysis using claims data from a pilot district in northern China. The study covered 200 685 enrollees in 17 townships in 2012 and followed-up the townships over 12 year-quarters until the end of 2014. RESULTS: The gatekeeping pilot led to significantly more patients visiting primary care facilities (55.3%, p=0.001), but there was little evidence of increased ambulatory spending on primary care (1.6%, p=0.884). The pilot reduced hospital visits by 23.9% (p=0.048) and ambulatory spending at the hospitals by 22.4% (p=0.011). CONCLUSIONS: This first impact evaluation of gatekeeping outside high-income countries found that gatekeeping policy did not seem to have expanded the care provided by primary care facilities, despite an increased volume of claimed visits. Although claimed patient visits and expenditure at hospitals reduced, we suspect this may have been because patients found it either cumbersome or difficult to obtain reimbursement for their care

MEMS 411: Rock Collection Rover, Group

The following report has been prepared for MEMS 411 Mechanical Engineering Design Project and contains information pertaining to the selected project, the Rocker Collecting Rover Contest project. The project required the team to construct a battery-powered, remote-controlled rover that is operated with a first-person camera and can collect “rocks” and hold them off the ground without damaging them. The rover will compete in a competition against all other groups to see which group can collect the most rocks in a five-minute period