Risk in Private Finance Initiative Projects::A Public Sector Perspective

The management of public sector risk is increasingly seen as a priority area of UK government policy. This has been highlighted recently by the Prime Minister Gordon Brown who stated that “the issue of public risk is one of the most challenging areas of policy-making for any government” (Strategic Risk, 2008). In response to these challenges, the UK Prime Minister has appointed a new body - the Risk and Regulation Advisory Council (RRAC) which is tasked with improving the way risk to the public is understood and managed. One area of particular concern with regard to the governance of public sector risks involves projects procured via the Private Finance Initiative (PFI). These projects involve long-term contracts, complex multi-party interactions and thus create various risks to public sector clients. Today, most PFI actors acknowledge the potentially adverse effects of these risks and make an effort to prevent or mitigate undesirable results. As a consequence, issues of risk allocation, risk transfer and risk management have become central to the PFI procurement process. This paper provides an overview of the risk categories and risk types which are relevant to the public sector in PFI projects. It analyses risk as a feature of uncertain future project-related events and examines potential pitfalls which can be associated with PFI risk management on the basis of a case study of a high-profile PFI hospital in Scotland. The paper concludes that, despite the trend towards diminished risk profiles during the operational phase, the public sector continues to be exposed to significant risks when engaging in PFI-based procurement.

Does the UK Local Finance Improvement Trust (Lift) Initiative Improve Risk Management in Public-Private Procurement?

The UK government introduced the Private Finance Initiative (PFI) and, latterly, the Local Improvement Finance Trust (LIFT) in an attempt to improve public service provision. As a variant of PFI, LIFT seeks to create a framework for the effective provision of primary care facilities. Like conventional PFI procurement, LIFT projects involve long-term contracts, complex multi-party interactions and thus create various risks to public sector clients. This paper investigates the advantages and disadvantages of LIFT with a focus on how this approach facilitates or impedes risk management from the public sector client perspective. Our paper concludes that LIFT has a potential for creating additional problems, including the further reduction of public sector control, conflicts of interest, the inappropriate use of enabling funds, and higher than market rental costs affecting the uptake of space in the buildings by local health care providers. However, there is also evidence that LIFT has facilitated new investment and that Primary Care Trusts (PCTs) have themselves started addressing some of the weaknesses of this procurement format through the bundling of projects and other forms of regional co-operation.

Can less be more? Comparison of an 8-item placement quality measure with the 50-item Dundee Ready Educational Environment Measure (DREEM)

Clinical clerks learn more than they are taught and not all they learn can be measured. As a result, curriculum leaders evaluate clinical educational environments. The quantitative Dundee Ready Environment Measure (DREEM) is a de facto standard for that purpose. Its 50 items and 5 subscales were developed by consensus. Reasoning that an instrument would perform best if it were underpinned by a clearly conceptualized link between environment and learning as well as psychometric evidence, we developed the mixed methods Manchester Clinical Placement Index (MCPI), eliminated redundant items, and published validity evidence for its 8 item and 2 subscale structure. Here, we set out to compare MCPI with DREEM. 104 students on full-time clinical placements completed both measures three times during a single academic year. There was good agreement and at least as good discrimination between placements with the smaller MCPI. Total MCPI scores and the mean score of its 5-item learning environment subscale allowed ten raters to distinguish between the quality of educational environments. Twenty raters were needed for the 3-item MCPI training subscale and the DREEM scale and its subscales. MCPI compares favourably with DREEM in that one-sixth the number of items perform at least as well psychometrically, it provides formative free text data, and it is founded on the widely shared assumption that communities of practice make good learning environments.

Paving the way for the use of the SDQ in economic evaluations of school-based population health interventions: an empirical analysis of the external validity of SDQ mapping algorithms to the CHU9D in an educational setting

Purpose
The Strengths and Difficulties Questionnaire (SDQ) is a behavioural screening tool for children. The SDQ is increasingly used as the primary outcome measure in population health interventions involving children, but it is not preference based; therefore, its role in allocative economic evaluation is limited. The Child Health Utility 9D (CHU9D) is a generic preference-based health-related quality of-life measure. This study investigates the applicability of the SDQ outcome measure for use in economic evaluations and examines its relationship with the CHU9D by testing previously published mapping algorithms. The aim of the paper is to explore the feasibility of using the SDQ within economic evaluations of school-based population health interventions.
Methods
Data were available from children participating in a cluster randomised controlled trial of the school-based roots of empathy programme in Northern Ireland. Utility was calculated using the original and alternative CHU9D tariffs along with two SDQ mapping algorithms. t tests were performed for pairwise differences in utility values from the preference-based tariffs and mapping algorithms.
Results
Mean (standard deviation) SDQ total difficulties and prosocial scores were 12 (3.2) and 8.3 (2.1). Utility values obtained from the original tariff, alternative tariff, and mapping algorithms using five and three SDQ subscales were 0.84 (0.11), 0.80 (0.13), 0.84 (0.05), and 0.83 (0.04), respectively. Each method for calculating utility produced statistically significantly different values except the original tariff and five SDQ subscale algorithm.
Conclusion
Initial evidence suggests the SDQ and CHU9D are related in some of their measurement properties. The mapping algorithm using five SDQ subscales was found to be optimal in predicting mean child health utility. Future research valuing changes in the SDQ scores would contribute to this research.

The impact of an educational DVD on pregnant women with gestational diabetes mellitus: a randomised controlled trial

Background The diagnosis of gestational diabetes (GDM) during pregnancy can lead to anxiety. Little research has focused on the education these women receive and how this is best delivered in a busy clinic. Aim This study evaluated the impact of an innovative patient-centred educational DVD on anxiety and glycaemic control and in newly diagnosed women with GDM. Method 150 multi-ethnic women, aged 19-44 years, from three UK hospitals were randomised to either standard care plus DVD (DVD group, n=77) or standard care alone (control group, n=73) at GDM diagnosis. Women were followed up at their next clinic visit at a mean ± SD of 2.5 ± 1.6 weeks later. Primary outcomes were anxiety (State-Trait Anxiety Inventory) and mean 1-hour postprandial capillary self-monitored blood glucose for all meals, on day prior to follow-up. Secondary outcomes included pregnancy specific stress (Pregnancy Distress Questionnaire), emotional adjustment to diabetes (Appraisal of Diabetes Scale), self-efficacy (Diabetes Empowerment Scale) and GDM knowledge (non-validated questionnaire). Other outcomes included mean fasting and 1-hour postprandial blood glucose at each meal, on day prior to follow-up. Women in the DVD group completed a feedback questionnaire on the resource. Results No significant difference between the DVD and control group were reported, for anxiety (37.7 ± 11.7 vs 36.2 ± 10.9; mean difference after adjustment for covariates (95%CI) 2.5 (-0.8, 5.9) or for mean 1-hour postprandial glucose (6.9 ± 0.9 vs 7.0 ± 1.2 mmol/L; -0.2 (-0.5, 0.2). Similarly, no significant differences in the other psychosocial variables were identified between the groups. However, the DVD group had significantly lower postprandial breakfast glucose compared to the control group (6.8 ± 1.2 vs 7.4 ± 1.9 mmol/L; -0.5 (-1.1, -<0.1; p=0.04). Using a scale of 0-10, 84% rated the DVD 7 or above for usefulness (10 being very useful), and 88% rated it 7 or above when asked if they would recommend to a friend (10 being very strongly recommend). Women described the DVD as ‘reassuring’, ‘a fantastic tool’, that ‘provided a lot of information in a quick and easy way’ and ‘helped reinforce all the information from clinic’. Discussion While no significant change was observed in anxiety or mean postprandial glucose, the DVD was rated highly by women with GDM and may be a useful resource to assist with educating newly diagnosed women. This project is supported by BRIDGES, an IDF programme supported by an educational grant from Lilly Diabetes.

Effect of providing free glasses on children's educational outcomes in China: cluster randomized controlled trial

Objective: To assess the effect of provision of free glasses on academic performance in rural Chinese children with myopia. Design: Cluster randomized, investigator masked, controlled trial.Setting 252 primary schools in two prefectures in western China, 2012-13. Participants: 3177 of 19 934 children in fourth and fifth grades (mean age 10.5 years) with visual acuity <6/12 in either eye without glasses correctable to >6/12 with glasses. 3052 (96.0%) completed the study.Interventions Children were randomized by school (84 schools per arm) to one of three interventions at the beginning of the school year: prescription for glasses only (control group), vouchers for free glasses at a local facility, or free glasses provided in class. Main outcome measures: Spectacle wear at endline examination and end of year score on a specially designed mathematics test, adjusted for baseline score and expressed in standard deviations. Results: Among 3177 eligible children, 1036 (32.6%) were randomized to control, 988 (31.1%) to vouchers, and 1153 (36.3%) to free glasses in class. All eligible children would benefit from glasses, but only 15% wore them at baseline. At closeout glasses wear was 41% (observed) and 68% (self reported) in the free glasses group, and 26% (observed) and 37% (self reported) in the controls. Effect on test score was 0.11 SD (95% confidence interval 0.01 to 0.21) when the free glasses group was compared with the control group. The adjusted effect of providing free glasses (0.10, 0.002 to 0.19) was greater than parental education (0.03, −0.04 to 0.09) or family wealth (0.01, −0.06 to 0.08). This difference between groups was significant, but was smaller than the prespecified 0.20 SD difference that the study was powered to detect. Conclusions: The provision of free glasses to Chinese children with myopia improves children’s performance on mathematics testing to a statistically significant degree, despite imperfect compliance, although the observed difference between groups was smaller than the study was originally designed to detect. Myopia is common and rarely corrected in this setting. Trial Registration: Current Controlled Trials ISRCTN03252665.

Ophthalmology. 2011 Dec;118(12):2343-50. doi: 10.1016/j.ophtha.2011.06.016. Epub 2011 Sep 1. Randomized, controlled trial of an educational intervention to promote spectacle use in rural China: the see well to learn well study.

OBJECTIVE: To test an educational intervention promoting the purchase of spectacles among Chinese children. DESIGN: Randomized, controlled trial. PARTICIPANTS: Children in years 1 and 2 of all 20 junior and senior high schools (ages 12-17 years) in 3 rural townships in Guangdong, China. METHODS: Children underwent visual acuity (VA) testing, and parents of participants with presenting VA worse than 6/12 in either eye improving by more than 2 lines with cycloplegic refraction were recommended to purchase glasses. Children at 10 randomly selected schools received a lecture, video, and classroom demonstration promoting spectacle purchase. MAIN OUTCOME MEASURES: Self-reported purchase of spectacles (primary outcome) and observed wear or possession of newly purchased glasses (secondary outcome) at follow-up examinations (mean, 219 ± 87 days after the baseline visit). RESULTS: Among 15 404 eligible children, examinations were completed for 6379 (74.6%) at intervention schools and 5044 (73.6%) at control schools. Spectacles were recommended for 2236 (35.1%) children at intervention schools and for 2212 (43.9%) at control schools. Of these, 417 (25.7%) intervention schools children and 537 (34.0%, P = 0.45) control schools children reported buying glasses. Predictors of purchase in regression models included female gender (P = 0.02), worse uncorrected VA (P < 0.001), and higher absolute value of refractive error (P = 0.001). Neither the rate of self-reported purchase of glasses or observed wear or possession of newly purchased glasses differed between control schools and intervention schools in mixed-effect logistic regression models. Among children not purchasing glasses, 21.7% had better-eye VA of worse than 6/18. CONCLUSIONS: An intervention based on extensive pilot testing and focus groups in the area failed to promote spectacle purchase or wear. The high burden of remaining uncorrected poor vision underscores the need to develop better interventions. FINANCIAL DISCLOSURE(S): The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Allocating Participants to Groups In Educational Trials: What Does Random Mean?

What is meant by the term random? Do we understand how to identify which type of randomisation to use in our future research projects? We, as researchers, often explain randomisation to potential research participants as being a 50/50 chance of selection to either an intervention or control group, akin to drawing numbers out of a hat. Is this an accurate explanation? And are all methods of randomisation equal? This paper aims to guide the researcher through the different techniques used to randomise participants with examples of how they can be used in educational research.

Finance, social economics and community development

The last three decades have seen social enterprises in the United Kingdom pushed to the forefront of welfare delivery, workfare and area-based regeneration. For critics, this is repositioning the sector around a neoliberal politics that privileges marketization, state roll-back and disciplining community groups to become more self-reliant. Successive governments have developed bespoke products, fiscal instruments and intermediaries to enable and extend the social finance market. Such assemblages are critical to roll-out tactics, but they are also necessary and useful for more reformist understandings of economic alterity. The issue is not social finance itself but how it is used, which inevitably entangles social enterprises in a form of legitimation crises between the need to satisfy financial returns and at the same time keep community interests on board. This paper argues that social finance, how it is used, politically domesticated and achieves re-distributional outcomes is a necessary component of counter-hegemonic strategies. Such assemblages are as important to radical community development as they are to neoliberalism and the analysis concludes by highlighting the need to develop a better understanding of finance, the ethics of its use and tactical compromises in scaling it as an alternative to public and private markets.