Development of a core data set for pelvic floor disorder patients registry

Purpose The purpose of this paper is twofold: first, to update the core data set of self-neglect serious case reviews (SCRs) and safeguarding adult reviews (SARs), and accompanying thematic analysis; second, to respond to the critique in the Wood Report of SCRs commissioned by Local Safeguarding Children Boards (LSCBs) by exploring the degree to which the reviews scrutinised here can transform and improve the quality of adult safeguarding practice. Design/methodology/approach Further published reviews are added to the core data set from the websites of Safeguarding Adults Boards (SABs) and from contacts with SAB independent chairs and business managers. Thematic analysis is updated using the four domains employed previously. The findings are then further used to respond to the critique in the Wood Report of SCRs commissioned by LSCBs, with implications discussed for Safeguarding Adult Boards. Findings Thematic analysis within and recommendations from reviews have tended to focus on the micro context, namely, what takes place between individual practitioners, their teams and adults who self-neglect. This level of analysis enables an understanding of local geography. However, there are other wider systems that impact on and influence this work. If review findings and recommendations are to fully answer the question “why”, systemic analysis should appreciate the influence of national geography. Review findings and recommendations may also be used to contest the critique of reviews, namely, that they fail to engage practitioners, are insufficiently systemic and of variable quality, and generate repetitive findings from which lessons are not learned. Research limitations/implications There is still no national database of reviews commissioned by SABs so the data set reported here might be incomplete. The Care Act 2014 does not require publication of reports but only a summary of findings and recommendations in SAB annual reports. This makes learning for service improvement challenging. Reading the reviews reported here against the strands in the critique of SCRs enables conclusions to be reached about their potential to transform adult safeguarding policy and practice. Practical implications Answering the question “why” is a significant challenge for SARs. Different approaches have been recommended, some rooted in systems theory. The critique of SCRs challenges those now engaged in SARs to reflect on how transformational change can be achieved to improve the quality of adult safeguarding policy and practice. Originality/value The paper extends the thematic analysis of available reviews that focus on work with adults who self-neglect, further building on the evidence base for practice. The paper also contributes new perspectives to the process of conducting SARs by using the analysis of themes and recommendations within this data set to evaluate the critique that reviews are insufficiently systemic, fail to engage those involved in reviewed cases and in their repetitive conclusions demonstrate that lessons are not being learned.

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Vitamin D status in women with pelvic floor disorder symptoms

International Urogynecology Journal ◽

10.1007/s00192-012-1700-8 ◽

2012 ◽

Vol 23 (12) ◽

pp. 1699-1705 ◽

Cited By ~ 16

Author(s):

Candace Y. Parker-Autry ◽

Alayne D. Markland ◽

Alicia C. Ballard ◽

Deidra Downs-Gunn ◽

Holly E. Richter

Keyword(s):

Vitamin D ◽

Pelvic Floor ◽

Pelvic Floor Disorder ◽

Vitamin D Status

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Neurological Evaluation of Pelvic Floor Disorder

Urogynecology and Pelvic Reconstructive Surgery ◽

10.5005/jp/books/12783_12 ◽

2016 ◽

pp. 73-73 ◽

Cited By ~ 1

Author(s):

Sudhir Adhikari ◽

Sanjoy Bhattacharyya

Keyword(s):

Pelvic Floor ◽

Pelvic Floor Disorder ◽

Neurological Evaluation

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THE STAG OIL FIELD FORMATION EVALUATION: A NEURAL NETWORK APPROACH

The APPEA Journal ◽

10.1071/aj98026 ◽

1999 ◽

Vol 39 (1) ◽

pp. 451 ◽

Cited By ~ 5

Author(s):

H. Crocker ◽

C.C. Fung ◽

K.W. Wong

Keyword(s):

Neural Network ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Oil Field ◽

Training Data ◽

Ann Model ◽

Neural Network Approach ◽

Data Set ◽

Formation Evaluation ◽

Core Data

The producing M. australis Sandstone of the Stag Oil Field is a bioturbated glauconitic sandstone that is difficult to evaluate using conventional methods. Well log and core data are available for the Stag Field and for the nearby Centaur–1 well. Eight wells have log data; six also have core data.In the past few years artificial intelligence has been applied to formation evaluation. In particular, artificial neural networks (ANN) used to match log and core data have been studied. The ANN approach has been used to analyse the producing Stag Field sands. In this paper, new ways of applying the ANN are reported. Results from simple ANN approach are unsatisfactory. An integrated ANN approach comprising the unsupervised Self-Organising Map (SOM) and the Supervised Back Propagation Neural Network (BPNN) appears to give a more reasonable analysis.In this case study the mineralogical and petrophysical characteristics of a cored well are predicted from the 'training' data set of the other cored wells in the field. The prediction from the ANN model is then used for comparison with the known core data. In this manner, the accuracy of the prediction is determined and a prediction qualifier computed.This new approach to formation evaluation should provide a match between log and core data that may be used to predict the characteristics of a similar uncored interval. Although the results for the Stag Field are satisfactory, further study applying the method to other fields is required.

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