A pilot randomised controlled trial (RCT) investigating the effectiveness of reflexology for managing pregnancy low back and/or pelvic pain.

any pregnant women with low back and/or pelvic pain (LBPP) use pain medications to manage this pain, much of which is self-prescribed and potentially harmful. Therefore, there is a need to find effective nonpharmacological treatments for the condition. Reflexology has previously been shown to help nonspecific low back pain. Therefore; a pilot RCT was conducted investigating reflexology in the management of pregnancy-LBPP. 90 primiparous women were randomised to either usual care, a reflexology or footbath intervention. Primary outcome measures were; the Pain Visual Analogue Scale (VAS). 64 women completed the RCT; retention rates for the reflexology group were 80%, usual care group 83.33% and footbath group 50%. The reflexology group demonstrated a Clinically Important Change (CIC) in pain frequency (1.64 cm). Results indicate it is feasible to conduct an RCT in this area, although a footbath is an unsuitable sham treatment. Reflexology may help manage pregnancy-LBPP; however a fully powered trial is needed to confirm this.

Effectiveness of a Multifaceted Intervention for Potentially Inappropriate Prescribing in Older Patients in Primary Care: A Cluster-Randomized Controlled Trial (OPTI-SCRIPT Study)

PURPOSE Potentially inappropriate prescribing (PIP) is common in older people and can result in increased morbidity, adverse drug events, and hospitalizations. The OPTI-SCRIPT study (Optimizing Prescribing for Older People in Primary Care, a cluster-randomized controlled trial) tested the effectiveness of a multifaceted intervention for reducing PIP in primary care.

METHODS We conducted a cluster-randomized controlled trial among 21 general practitioner practices and 196 patients with PIP. Intervention participants received a complex, multifaceted intervention incorporating academic detailing; review of medicines with web-based pharmaceutical treatment algorithms that provide recommended alternative-treatment options; and tailored patient information leaflets. Control practices delivered usual care and received simple, patient-level PIP feedback. Primary outcomes were the proportion of patients with PIP and the mean number of potentially inappropriate prescriptions. We performed intention-to-treat analysis using random-effects regression.

RESULTS All 21 practices and 190 patients were followed. At intervention completion, patients in the intervention group had significantly lower odds of having PIP than patients in the control group (adjusted odds ratio = 0.32; 95% CI, 0.15–0.70; P = .02). The mean number of PIP drugs in the intervention group was 0.70, compared with 1.18 in the control group (P = .02). The intervention group was almost one-third less likely than the control group to have PIP drugs at intervention completion, but this difference was not significant (incidence rate ratio = 0.71; 95% CI, 0.50–1.02; P = .49). The intervention was effective in reducing proton pump inhibitor prescribing (adjusted odds ratio = 0.30; 95% CI, 0.14–0.68; P = .04).

CONCLUSIONS The OPTI-SCRIPT intervention incorporating academic detailing with a pharmacist, and a review of medicines with web-based pharmaceutical treatment algorithms, was effective in reducing PIP, particularly in modifying prescribing of proton pump inhibitors, the most commonly occurring PIP drugs nationally.

Evaluating the effectiveness of domestic abuse prevention education: Are certain children more or less receptive to the messages conveyed?

Purpose
A number of school-based domestic abuse prevention programmes have been developed in the United Kingdom, but evidence as to the effectiveness of such programmes is limited. The aim of the research was to evaluate the effectiveness of one such programme and to see whether the outcomes differ by gender and experiences of domestic abuse.

Method
Pupils aged 13–14 years, across seven schools, receiving a 6-week education programme completed a questionnaire to measure their attitudes towards domestic violence at pre-, post-test, and 3-month follow-up, and also responded to questions about experiences of abuse (as victims, perpetrators, and witnesses) and help seeking. Children in another six schools not yet receiving the intervention responded to the same questions at pre- and post-test. In total, 1,203 children took part in the research.

Results
Boys and girls who had received the intervention became less accepting of domestic violence and more likely to seek help from pre- to post-test compared with those in the control group; outcomes did not vary by experiences of abuse. There was evidence that the change in attitudes for those in the intervention group was maintained at 3-month follow-up.

Conclusions
These findings suggest that such a programme shows great promise, with both boys and girls benefiting from the intervention, and those who have experienced abuse and those who have not (yet) experienced abuse showing a similar degree of attitude change.

The Role and Effectiveness of Public – Private Partnerships (NHS LIFT) in the Development of Enhanced Primary Care Premises and Services:Report for the National Institute for Health Research Service Delivery and Organisation programme

The research project analysed the role and effectiveness of LIFT via a multi-method study which included semi-structured interviews with policy elites and users, as well as case studies and an exploratory analysis of the financial characteristics of three LIFT Companies. While the team felt that it was able to identify key aspects relating to the advantages and drawbacks surrounding LIFT, some aspects relating to the representativeness of the study was adversely affected by a reluctance of PCTs to participate in the case study analysis and commercial confidentiality restrictions. The study was nonetheless able to identify important issues in relation to the funding and procurement of primary care premises and services.

Comparative Assessment of Methods for Measuring Consensual Poverty: Sort Card Versus CAPI

Poverty means more than having a low income and includes exclusion from a minimally accepted way of life. It is now common practice in Europe to measure progress against poverty in terms of low income, material deprivation rates and some combination of both. This makes material deprivation indicators, and their selection, highly significant in its own right. The ‘consensual poverty’ approach is to identify deprivation items which a majority of the population agree constitute life’s basic necessities, accepting that these items will need revised over time to reflect social change. Traditionally, this has been carried out in the UK through specialised poverty surveys using a Sort Card (SC) technique.

Based on analysis of a 2012 omnibus survey, and discussions with three interviewers, this article examines how perception of necessities is affected by mode of administration – SC and Computer Assisted Personal Interviewing (CAPI). More CAPI respondents scored deprivation items necessary. Greatest disparities are in material items where 25 out of 32 items were significantly higher via CAPI. Closer agreement is found in social participation with 3 out of 14 activities significantly different. Consensus is higher on children’s material deprivation.
We consider influencing variables which could account for the disparities and believe that the SC method produces a more considered response. However, in light of technological advances, we question how long the SC method will remain socially acceptable. This paper concludes that the CAPI method can be easily modified without compromising the benefits of the SC method in capturing thoughtful responses.

An evaluation of the effectiveness of an algorithm intervention in reducing inappropriate faecal samples sent for Clostridium difficile testing.

Background: Clostridium difficile (C. difficile) is a leading cause of infectious diarrhoea in hospitals. Sending faecal samples for testing expedites diagnosis and appropriate treatment. Clinical suspicion of C. difficile based on patient history, signs and symptoms is the basis for sampling. Sending faecal samples from patients with diarrhoea ‘just in case’ the patient has C. difficile may be an indication of poor clinical management.

Aim: To evaluate the effectiveness of an intervention by an Infection Prevention and Control Team (IPCT) in reducing inappropriate faecal samples sent for C. difficile testing.

Method: An audit of numbers of faecal samples sent before and after a decision-making algorithm was introduced. The number of samples received in the laboratory was retrospectively counted for 12-week periods before and after an algorithm was introduced.
Findings: There was a statistically significant reduction in the mean number of faecal samples sent post the algorithm. Results were compared to a similar intervention carried out in 2009 in which the same message was delivered by a memorandum. In 2009 the memorandum had no effect on the overall number of weekly samples being sent.

Conclusion: An algorithm intervention had an effect on the number of faecal samples being sent for C. difficile testing and thus contributed to the effective use of the laboratory service.

A practical taxonomy of methods and literature for managing uncertain spatial data in geographic information systems

Perfect information is seldom available to man or machines due to uncertainties inherent in real world problems. Uncertainties in geographic information systems (GIS) stem from either vague/ambiguous or imprecise/inaccurate/incomplete information and it is necessary for GIS to develop tools and techniques to manage these uncertainties. There is a widespread agreement in the GIS community that although GIS has the potential to support a wide range of spatial data analysis problems, this potential is often hindered by the lack of consistency and uniformity. Uncertainties come in many shapes and forms, and processing uncertain spatial data requires a practical taxonomy to aid decision makers in choosing the most suitable data modeling and analysis method. In this paper, we: (1) review important developments in handling uncertainties when working with spatial data and GIS applications; (2) propose a taxonomy of models for dealing with uncertainties in GIS; and (3) identify current challenges and future research directions in spatial data analysis and GIS for managing uncertainties.