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Objective – Nepal's Safe Delivery Incentive Programme (SDIP) was introduced nationwide in 2005 with the aim of encouraging greater use of professional care at childbirth. It provided cash to women giving birth in a public health facility and an incentive to the health provider for each delivery attended, either at home or in the facility. We aimed to assess the impact of the programme on neonatal mortality and health care seeking behaviour at childbirth in one district of Nepal.

Methods – Impacts were identified using an interrupted time series approach, applied to household data. We estimated a model linking the level of each outcome at a point in time to the start of the programme, demographic controls, a vector of time variables and community-level fixed effects.

Findings – The recipients of the cash transfer in the programme's first two years were disproportionately wealthier households, reflecting existing inequality in the use of government maternity services. In places with women's groups – where information about the policy was widely disseminated – the SDIP substantially increased skilled birth attendance, but failed to impact on either neonatal mortality or the caesarean section rate. In places with no women's groups, the SDIP had no impact on utilisation outcomes or neonatal mortality.

Implications for policy – The lack of any impact on neonatal mortality suggests that greater increases in utilisation or better quality of care are needed to improve health outcomes. The SDIP changed health care seeking behaviour only in those areas with women's groups highlighting the importance of effective communication of the policy to the wider public.

In order to assess the state of health of Europe’s children, or to appraise the systems and models of healthcare delivery, data about children are essential, with as much precision and accuracy as possible by small group characteristic. Unfortunately, the experience of the Models of Child Health Appraised (MOCHA) project and its scientists shows that this ideal is seldom met, and thus the accuracy of appraisal or planning work is compromised. In the project, we explored the data collected on children by a number of databases used in Europe and globally, to find that although the four quinquennial age bands are common, it is impossible to represent children aged 0–17 years as a legally defined group in statistical analysis. Adolescents, in particular, are the most invisible age group despite this being a time of life when they are rapidly changing and facing increasing challenges. In terms of measurement and monitoring, there is little progress from work of nearly two decades ago that recommended an information system, and no focus on the creation of a policy and ethical framework to allow collaborative analysis of the rich anonymised databases that hold real-world people-based data. In respect of data systems and surveillance, nearly all systems in European society pay lip service to the importance of children, but do not accommodate them in a practical and statistical sense.

This paper addresses revolutionary changes in the education, fertility and market work of U.S. families formed in the 1870s–1920s: Fertility fell from 5.3 to 2.6; the graduation rate of their children increased from 7% to 50%; and the fraction of adulthood wives devoted to market-oriented work increased from 7% to 23% (by one measure).

These trends are addressed within a unified framework to examine the ability of several proposed mechanisms to quantitatively replicate these changes. Based on careful calibration, the choices of successive generations of representative husband-and-wife households over the quantity and quality of their children, household production, and the extent of mother’s involvement in market-oriented production are simulated.

Rising wages, declining mortality, a declining gender wage gap, and increased efficiency and public provision of schooling cannot, individually or in combination, reduce fertility or increase stocks of human capital to levels seen in the data. The best fit of the model to the data also involves: (1) a decreased tendency among parents to view potential earnings of children as the property of parents and (2) rising consumption shares per dependent child.

Greater attention should be given the determinants of parental control of the work and earnings of children for this period.

One contribution is the gathering of information and strategies necessary to establish an initial baseline, and the time paths for parameters and targets for this period beset with data limitations. A second contribution is identifying the contributions of various mechanisms toward reaching those calibration targets.

Purpose – The numbers of health care transparency initiatives are increasing. Despite the growing availability of quality data, there seems to be a shortage of evidence about the effects and effectiveness of such initiatives. The aim of this systematic review is to document the effects of transparency, defined as the public release of quality performance data, on hospital care outcomes.

Design/methodology/approach – Through a review of the literature, we chose 46 keywords to use in our searches and focused on empirical studies published in English between 2010 and 2015. The use of combinations of these keywords in searches of four databases (PubMed, Scopus, Web of Science, and the Cochrane Library) generated 13,849 publications. The removal of duplicates and exclusion of studies that were not empirical or not relevant to transparency and quality resulted in 39 studies to be reviewed.

Findings – Our review of the literature confirmed the growth of health care transparency efforts, led by the United States, and found mixed results regarding the effects of transparency on hospital care outcomes. For example, mortality, the most frequently researched performance measure (n = 15), exhibited this mixed pattern by having studies showing a reduction (n = 4), increase (n = 1), mixed findings (n = 4), and no significant relationship (n = 6) as a result of public release. We also found a limited number of articles related to unintended consequences of public reporting. When compared with earlier systematic reviews, there seems to be a trend in the reduction of unintended consequences. Therefore, we recommend exploration of this potential trend in future studies empirically.

Practical Implications – The research findings summarized in this systematic review can be used to understand the results of existing transparency efforts and to develop future transparency initiatives that may better enhance hospital quality performance.

Originality/value – This is the latest and most comprehensive systematic review summarizing the effects of transparency of quality metrics on hospital care outcomes.

The purpose of the study was to explore in literature what different leadership styles and behaviors of head nurses have a positive influence on the outcomes of patient safety or quality of care.

We reviewed the literature from January 2000 until September 2011. We searched Pubmed, Embase, Cinahl, Psychlit, and Econlit.

We found 10 studies addressing the relationship between head nurse leadership and safety and quality. A wide array of styles and practices were associated with different patient outcomes. Transformational leadership was the most used concept in the studies. A trend can be observed over these studies suggesting that a trustful relationship between the head nurse and subordinates is an important driving force for the achievement of positive patient outcomes. Furthermore, the effects of these trustful relationships seem to be amplified by supporting mechanisms, often objective conditions like clinical pathways and, especially, staffing level.

This study offers an up-to-date review of the limited number of studies on the relationship between nurse leadership and patient outcomes. Although mostly transformational leadership was found to be responsible for positive associations with outcomes, also contingent reward had positive influence on outcomes. We formulated some comments on the predominance of the transformational leadership concept and suggested the application of complexity theory and political leadership for the current context of care. We formulated some implications for practice and further research, mainly the need for more systematic empirical and cross cultural studies and the urgent need for the development of a validated set of nurse-sensitive patient outcome indicators.

Information communication technologies can serve as a crucial missing link toward tacking wicked problems of social welfare policy implementation through collaborative governance. Using a mixed methods approach, a pre- and postanalyses were used to investigate whether and how cell phones can increase awareness of pregnant women about different cash and service benefits of maternal health benefit policies of 82 pregnant women in a remote tribal community in Melghat forest of Maharashtra, India. Pregnant women received customized prerecorded bilingual audio calls on their mobile phones about maternal health benefit policies. The author then traced whether those audio messages increased the claiming of policy benefits and public engagement. The key contribution of this research is that contrary to the optimism about digital governance, findings suggest that cell phones are not a “silver bullet” for increasing receipt of maternal health benefits. This book chapter concludes with the prescription that the impact of mobile phones and other information technologies will be marginal as long as there are administrative deficiencies in policy implementation and a misalignment in state and federal policy designs.

Clinical front-line staff are best positioned within the organizations to identify patient safety problems and craft solutions. However, in traditional models, safety committees are led by senior executives who are not clinically responsible for patients. This top-down approach can result in missed opportunities to address patient-centered challenges and better manage the health of the defined populations served by these organizations.

To foster teamwork, enhance empowerment, and improve the patient care environment, Operations Councils led by trained front-line staff were deployed in 15 clinical areas at the Ohio State University Wexner Medical Center (OSUWMC) as a performance improvement tool.

Standardized training of Council facilitators was designed and implemented to guide the performance improvement process. Balanced scorecards were developed in each Council based on the risks and concerns of that particular clinical area. After initial implementation of the Operations Councils, patient safety events declined and team engagement improved by over 34% across the medical center; the highest changes were seen in areas where Operations Councils had been deployed. Additionally, outcome metrics including area-specific and system-wide mortality and readmissions improved after implementation.

We suggest that this type of approach may be an appropriate strategy to consider in other health care organizations as such institutions are challenged to better manage the health of their defined patient populations.