Demonstrating Access to Public Services Diagrammatically

Gandy, Rob; Franci, Alberto; Gurrieri, Caterina; McClelland, Robert

doi:10.1080/01900692.2011.582623

Cited by 16 publications

(31 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can be used for exploratory data analysis and benchmarking for decision-makers. In the early stages of an investigation, it is useful to indicate where more detailed, localized analysis may be required, and to support decisions [37]. By design, it focuses on percentages, however because percentages mask relative size, we made sure that the percentages produced could be compared.…”

Section: Methodsmentioning

confidence: 99%

Patient mobility for cardiac problems: a risk-adjusted analysis in Italy

Messina

Forni

Collini

et al. 2013

BMC Health Serv Res

View full text Add to dashboard Cite

BackgroundThe Italian National Health System was revised in the last 20 years, introducing new elements such as efficacy, efficiency and competitiveness. Devolution to regional authorities has created a quasi-market system where patients can choose the hospital in which to be treated. Patient mobility therefore becomes an indicator of perceived hospital quality and of financial flows between the regions of Italy. Previous studies analyzed patient mobility in general or by specific disease/diagnosis-related groups but there is a lack of research on the influence of severity of patient condition. The aim of the study was to describe patient mobility, crude and stratified by disease severity, in cardiac surgery units of three health areas (HAs) in Tuscany (Italy).MethodsIn this retrospective observational study, data was gathered from hospital discharge records obtained from the Tuscan Regional Health Agency, Italy. The three HAs (HA1, HA2, HA3) recorded 25,017 planned hospitalizations in cardiac surgery units in the period 2001–2007. Patients were stratified in four All Patient Refined Diagnosis Related Group (APR-DRG) severity levels. Gandy’s nomogram was used to describe how HAs met health care demand and their capacity to attract patients. Cuzick’s test was used to identify significant differences in time trends.ResultsRaw data showed that the HAs met their own local health care demand. Stratifying by APR-DRG severity, it emerged that capacity to meet local demand remained unchanged for zero-to-minor severity levels, but one HA was less able to meet demand for moderate severity levels or to attract patients from other HAs and Regions of Italy. In fact, HA3 showed a decrease in admissions of local residents.ConclusionsThe study highlights important differences between the three HAs that were only revealed by severity stratification: unlike HA3, HA1 and HA2 seemed able to deal with local demand, even after severity stratification. Planners and researchers can benefit from risk stratification data, which provides more elements for correct comparisons and interventions. In the context of patient mobility, the present study is a step in that direction.

show abstract

Section: Methodsmentioning

confidence: 99%

Patient mobility for cardiac problems: a risk-adjusted analysis in Italy

Messina

Forni

Collini

et al. 2013

BMC Health Serv Res

View full text Add to dashboard Cite

show abstract

“…Quantitative methods included activity data surveys, targeted surveys and Delphi methods. Details of the methods applied in relation to each component of the programme are given in the related referenced papers [17–25] …”

Section: Methodsmentioning

confidence: 99%

“…This paper provides an overview of a research programme undertaken by the author, over a number of years, to determine how aseptic dispensing production and usage in the NHS should be quantified, and performance measured, with a view to achieving these goals. It therefore references key points from related publications, without quoting all of the background detail [17–25] …”

Section: Introductionmentioning

confidence: 99%

Measuring and performance-managing aseptic dispensing in the National Health Service

Gandy

2011

Journal of Pharmaceutical Health Services Research

View full text Add to dashboard Cite

Objectives This paper provides an overview of a research programme, undertaken by the author over a number of years, to determine how aseptic dispensing production and usage in the National Health Service should be quantified, and performance measured. The purpose was to enable hospitals to maximise the usage of aseptic products and optimise the performance of aseptic dispensing units, in order to reduce medication errors and consequently improve hospital performance, patient safety and patient outcomes. Methods Mixed methodologies were adopted throughout on an exploratory basis, and included regular expert input, workshops, structured interviews, activity data surveys and Delphi methods. The research primarily focused on the North West of England. Key findings The research established the data required, and systematised its collection and collation, addressing related nomenclature issues. Novel ways of analysing and manipulating the data supported decision‐making. Long‐term capacity planning is supported, with benchmarking essential given variations in the physical design, staffing and organizational position of aseptic units. The impact of major capital investment was evaluated, as were variations in practices between different regions. New electronic prescribing systems will not provide the required data. Existing pharmaceutical information systems will remain the main sources for the foreseeable future. Conclusions The research addressed the absence of set data for this important hospital support service. It enabled a systematic approach to capacity planning and performance evaluation, which is essential to support hospitals seeking cost efficiencies at the same time as improving clinical governance. A nationwide web‐based database would present a cost‐effective approach.

show abstract

“…Given the amount of data involved, it was decided to use the Nomogramma di Gandy (NdiG), which is a flexible diagrammatic method which demonstrates patterns of self-sufficiency (Gandy et al, 2011).…”

Section: Methodsmentioning

confidence: 99%

“…Population churn in England over the period 1999 -2004 showed something of a north-south divide, with northern regions having much less population churn than regions to the south (which has parallels with the observed patterns of politician mobility). London was a clear outlier: although its population only increased by 4 percent over the 5-year period, this involved 25 percent new people (including births) into the region, and 21 percent leaving (including deaths) (Gandy, 2009). It is therefore interesting that London involved some of the greatest mobility with its MPs and MEPs: many politicians from other regions have constituencies in the capital, and many Londoners have constituencies in other regions.…”

Section: Influences On Mobilitymentioning

confidence: 99%

An investigation of politician mobility in the United Kingdom

Gandy

2013

Br Polit

Self Cite

View full text Add to dashboard Cite

The south east of England, and in particular London have the greatest mobility. In general the patterns for MPs and MEPs are fairly similar, except in respect of age.Females were more likely to cross more than one regional boundary than males, particularly for Conservative MPs, and there was a higher differential in this regard for MEPs compared to MPs. It was concluded that whilst there is considerable politician mobility for both MPs and MEPs, the vast majority represent constituencies within their region of birth, or an adjacent region.

show abstract

Demonstrating Access to Public Services Diagrammatically

Cited by 16 publications

References 4 publications

Patient mobility for cardiac problems: a risk-adjusted analysis in Italy

Patient mobility for cardiac problems: a risk-adjusted analysis in Italy

Measuring and performance-managing aseptic dispensing in the National Health Service

An investigation of politician mobility in the United Kingdom

Contact Info

Product

Resources

About