Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Debbie Scott is active.

Publication


Featured researches published by Debbie Scott.


Accident Analysis & Prevention | 2010

The use of narrative text for injury surveillance research: A systematic review

Kirsten McKenzie; Debbie Scott; Margaret Campbell; Roderick John McClure

OBJECTIVE To summarise the extent to which narrative text fields in administrative health data are used to gather information about the event resulting in presentation to a health care provider for treatment of an injury, and to highlight best practise approaches to conducting narrative text interrogation for injury surveillance purposes. DESIGN Systematic review. DATA SOURCES Electronic databases searched included CINAHL, Google Scholar, Medline, Proquest, PubMed and PubMed Central. Snowballing strategies were employed by searching the bibliographies of retrieved references to identify relevant associated articles. SELECTION CRITERIA Papers were selected if the study used a health-related database and if the study objectives were to a) use text field to identify injury cases or use text fields to extract additional information on injury circumstances not available from coded data or b) use text fields to assess accuracy of coded data fields for injury-related cases or c) describe methods/approaches for extracting injury information from text fields. METHODS The papers identified through the search were independently screened by two authors for inclusion, resulting in 41 papers selected for review. Due to heterogeneity between studies meta-analysis was not performed. RESULTS The majority of papers reviewed focused on describing injury epidemiology trends using coded data and text fields to supplement coded data (28 papers), with these studies demonstrating the value of text data for providing more specific information beyond what had been coded to enable case selection or provide circumstantial information. Caveats were expressed in terms of the consistency and completeness of recording of text information resulting in underestimates when using these data. Four coding validation papers were reviewed with these studies showing the utility of text data for validating and checking the accuracy of coded data. Seven studies (9 papers) described methods for interrogating injury text fields for systematic extraction of information, with a combination of manual and semi-automated methods used to refine and develop algorithms for extraction and classification of coded data from text. Quality assurance approaches to assessing the robustness of the methods for extracting text data was only discussed in 8 of the epidemiology papers, and 1 of the coding validation papers. All of the text interrogation methodology papers described systematic approaches to ensuring the quality of the approach. CONCLUSIONS Manual review and coding approaches, text search methods, and statistical tools have been utilised to extract data from narrative text and translate it into useable, detailed injury event information. These techniques can and have been applied to administrative datasets to identify specific injury types and add value to previously coded injury datasets. Only a few studies thoroughly described the methods which were used for text mining and less than half of the studies which were reviewed used/described quality assurance methods for ensuring the robustness of the approach. New techniques utilising semi-automated computerised approaches and Bayesian/clustering statistical methods offer the potential to further develop and standardise the analysis of narrative text for injury surveillance.


Child Abuse & Neglect | 2009

The utility and challenges of using ICD codes in child maltreatment research: A review of existing literature

Debbie Scott; Lil Tonmyr; Jenny Fraser; Sue Walker; Kirsten McKenzie

OBJECTIVE The objectives of this article are to explore the extent to which the International Statistical Classification of Diseases and Related Health Problems (ICD) has been used in child abuse research, to describe how the ICD system has been applied, and to assess factors affecting the reliability of ICD coded data in child abuse research. METHODS PubMed, CINAHL, PsychInfo and Google Scholar were searched for peer reviewed articles written since 1989 that used ICD as the classification system to identify cases and research child abuse using health databases. Snowballing strategies were also employed by searching the bibliographies of retrieved references to identify relevant associated articles. The papers identified through the search were independently screened by two authors for inclusion, resulting in 47 studies selected for the review. Due to heterogeneity of studies meta-analysis was not performed. RESULTS This paper highlights both utility and limitations of ICD coded data. ICD codes have been widely used to conduct research into child maltreatment in health data systems. The codes appear to be used primarily to determine child maltreatment patterns within identified diagnoses or to identify child maltreatment cases for research. CONCLUSIONS A significant impediment to the use of ICD codes in child maltreatment research is the under ascertainment of child maltreatment by using coded data alone. This is most clearly identified and, to some degree, quantified, in research where data linkage is used. PRACTICE IMPLICATIONS The importance of improved child maltreatment identification will assist in identifying risk factors and creating programs that can prevent and treat child maltreatment and assist in meeting reporting obligations under the CRC.


BMC Public Health | 2011

Using Routinely Collected Hospital Data for Child Maltreatment Surveillance: Issues, Methods and Patterns

Kirsten McKenzie; Debbie Scott

BackgroundInternational data on child maltreatment are largely derived from child protection agencies, and predominantly report only substantiated cases of child maltreatment. This approach underestimates the incidence of maltreatment and makes inter-jurisdictional comparisons difficult. There has been a growing recognition of the importance of health professionals in identifying, documenting and reporting suspected child maltreatment. This study aimed to describe the issues around case identification using coded morbidity data, outline methods for selecting and grouping relevant codes, and illustrate patterns of maltreatment identified.MethodsA comprehensive review of the ICD-10-AM classification system was undertaken, including review of index terms, a free text search of tabular volumes, and a review of coding standards pertaining to child maltreatment coding. Identified codes were further categorised into maltreatment types including physical abuse, sexual abuse, emotional or psychological abuse, and neglect. Using these code groupings, one year of Australian hospitalisation data for children under 18 years of age was examined to quantify the proportion of patients identified and to explore the characteristics of cases assigned maltreatment-related codes.ResultsLess than 0.5% of children hospitalised in Australia between 2005 and 2006 had a maltreatment code assigned, almost 4% of children with a principal diagnosis of a mental and behavioural disorder and over 1% of children with an injury or poisoning as the principal diagnosis had a maltreatment code assigned. The patterns of children assigned with definitive T74 codes varied by sex and age group. For males selected as having a maltreatment-related presentation, physical abuse was most commonly coded (62.6% of maltreatment cases) while for females selected as having a maltreatment-related presentation, sexual abuse was the most commonly assigned form of maltreatment (52.9% of maltreatment cases).ConclusionThis study has demonstrated that hospital data could provide valuable information for routine monitoring and surveillance of child maltreatment, even in the absence of population-based linked data sources. With national and international calls for a public health response to child maltreatment, better understanding of, investment in and utilisation of our core national routinely collected data sources will enhance the evidence-base needed to support an appropriate response to children at risk.


Journal of Trauma-injury Infection and Critical Care | 2005

Validating the Functional Capacity Index: A Comparison of Predicted versus Observed Total Body Scores

Philip J. Schluter; Rachel E. Neale; Debbie Scott; Stephen Luchter; Roderick John McClure

BACKGROUND The Functional Capacity Index (FCI) was designed to predict physical function 12 months after injury. We report a validation study of the FCI. METHODS This was a consecutive case series registered in the Queensland Trauma Registry who consented to the prospective 12-month telephone-administered follow-up study. FCI scores measured at 12 months were compared with those originally predicted. RESULTS Complete Abbreviated Injury Scale score information was available for 617 individuals, of whom 587 (95%) could be assigned at least one FCI score (range, 1-17). Agreement between the largest predicted FCI and observed FCI score was poor (kappa = 0.05; 95% confidence interval, 0.00-0.10) and explained only 1% of the variability in observed FCI. Using an encompassing model that included all FCI assignments, agreement remained poor (kappa = 0.05; 95% confidence interval, -0.02-0.12), and the model explained only 9% of the variability in observed FCI. CONCLUSION The predicted functional capacity poorly agrees with actual functional outcomes. Further research should consider including other (noninjury) explanatory factors in predicting FCI at 12 months.


Injury Prevention | 2006

The properties of the International Classification of the External Cause of Injury when used as an instrument for injury prevention research.

Debbie Scott; James Edward Harrison; David M. Purdie; Chris Bain; Jake M. Najman; James W. Nixon; Anneliese Spinks; Roderick John McClure

Objective: To demonstrate properties of the International Classification of the External Cause of Injury (ICECI) as a tool for use in injury prevention research. Methods: The Childhood Injury Prevention Study (CHIPS) is a prospective longitudinal follow up study of a cohort of 871 children 5–12 years of age, with a nested case crossover component. The ICECI is the latest tool in the International Classification of Diseases (ICD) family and has been designed to improve the precision of coding injury events. The details of all injury events recorded in the study, as well as all measured injury related exposures, were coded using the ICECI. This paper reports a substudy on the utility and practicability of using the ICECI in the CHIPS to record exposures. Interrater reliability was quantified for a sample of injured participants using the Kappa statistic to measure concordance between codes independently coded by two research staff. Results: There were 767 diaries collected at baseline and event details from 563 injuries and exposure details from injury crossover periods. There were no event, location, or activity details which could not be coded using the ICECI. Kappa statistics for concordance between raters within each of the dimensions ranged from 0.31 to 0.93 for the injury events and 0.94 and 0.97 for activity and location in the control periods. Discussion: This study represents the first detailed account of the properties of the ICECI revealed by its use in a primary analytic epidemiological study of injury prevention. The results of this study provide considerable support for the ICECI and its further use.


Postgraduate Medical Journal | 2010

Republished paper: Emergency department triage revisited.

Gerard FitzGerald; George A Jelinek; Debbie Scott; Marie Gerdtz

Triage is a process that is critical to the effective management of modern emergency departments. Triage systems aim, not only to ensure clinical justice for the patient, but also to provide an effective tool for departmental organisation, monitoring and evaluation. Over the last 20 years, triage systems have been standardised in a number of countries and efforts made to ensure consistency of application. However, the ongoing crowding of emergency departments resulting from access block and increased demand has led to calls for a review of systems of triage. In addition, international variance in triage systems limits the capacity for benchmarking. The aim of this paper is to provide a critical review of the literature pertaining to emergency department triage in order to inform the direction for future research. While education, guidelines and algorithms have been shown to reduce triage variation, there remains significant inconsistency in triage assessment arising from the diversity of factors determining the urgency of any individual patient. It is timely to accept this diversity, what is agreed, and what may be agreeable. It is time to develop and test an International Triage Scale (ITS) which is supported by an international collaborative approach towards a triage research agenda. This agenda would seek to further develop application and moderating tools and to utilise the scales for international benchmarking and research programmes.


Annals of Epidemiology | 2000

Electronic telephone directory listings: preferred sampling frame for a population-based study of childhood cancer in Australia.

Patricia C. Valery; Gail M. Williams; William McWhirter; Adrian Sleigh; Debbie Scott; Chris Bain

PURPOSE We report our telephone-based system for selecting community control series appropriate for a complete Australia-wide series of Ewings sarcoma cases. METHODS We used electronic directory random sampling to select age-matched controls. The sampling has all listed telephone numbers on an up-dated CD-Rom. RESULTS 95% of 2245 telephone numbers selected were successfully contacted. The mean number of attempts needed was 1.94, 58% answering at the first attempt. On average, we needed 4.5 contacts per control selected. Calls were more likely to be successful (reach a respondent) when made in the evening (except Saturdays). The overall response rate among contacted telephone numbers was 92.8%. Participation rates among female and male respondents were practically the same. The exclusion of unlisted numbers (13.5% of connected households) and unconnected households (3.7%) led to potential selection bias. However, restricting the case series to listed cases only, plus having external information on the direction of potential bias allow meaningful interpretation of our data. CONCLUSION Sampling from an electronic directory is convenient, economical and simple, and gives a very good yield of eligible subjects compared to other methods.


Australian and New Zealand Journal of Public Health | 2006

Socio-economic distribution of environmental risk factors for childhood injury

Joseph V. Turner; Melanie Spallek; Jake M. Najman; Chris Bain; David M. Purdie; James W. Nixon; Debbie Scott; Roderick John McClure

Objective: Childhood injury remains the single most important cause of mortality in children aged between 1–14 years in many countries. It has been proposed that lower socio‐economic status (SES) and poorer housing contribute to potential hazards in the home environment. This study sought to establish whether the prevalence of observed hazards in and around the home was differentially distributed by SES, in order to identify opportunities for injury prevention.


Australian and New Zealand Journal of Public Health | 2013

Injuries leading to hospitalisation in the first year of life: analysis by trimester of age using coded data and textual description

Victor Siskind; Debbie Scott

Objective: To describe unintentional injuries to children aged less than one year, using coded and textual information, in three‐month age bands to reflect their development over the year.


BMC Public Health | 2012

Quantity of documentation of maltreatment risk factors in injury-related paediatric hospitalisations

Kirsten McKenzie; Debbie Scott

BackgroundWhile child maltreatment is recognised as a global problem, solid epidemiological data on the prevalence of child maltreatment and risk factors associated with child maltreatment is lacking in Australia and internationally. There have been recent calls for action to improve the evidence-base capturing and describing child abuse, particularly those data captured within the health sector. This paper describes the quantity of documentation of maltreatment risk factors in injury-related paediatric hospitalisations in Queensland, Australia.MethodsThis study involved a retrospective medical record review, text extraction and coding methodology to assess the quantity of documentation of risk factors and the subsequent utility of data in hospital records for describing child maltreatment and data linkage to Child Protection Service (CPS).ResultsThere were 433 children in the maltreatment group and 462 in the unintentional injury group for whom medical records could be reviewed. Almost 93% of the maltreatment code sample, but only 11% of the unintentional injury sample had documentation identified indicating the presence of any of 20 risk factors. In the maltreatment group the most commonly documented risk factor was history of abuse (41%). In those with an unintentional injury, the most commonly documented risk factor was alcohol abuse of the child or family (3%). More than 93% of the maltreatment sample also linked to a child protection record. Of concern are the 16% of those children who linked to child protection who did not have documented risk factors in the medical record.ConclusionGiven the importance of the medical record as a source of information about children presenting to hospital for treatment and as a potential source of evidence for legal action the lack of documentation is of concern. The details surrounding the injury admission and consideration of any maltreatment related risk factors, both identifying their presence and ruling them out are required for each and every case. This highlights the need for additional training for clinicians to understand the importance of their documentation in child injury cases.

Collaboration


Dive into the Debbie Scott's collaboration.

Top Co-Authors

Avatar

Kirsten McKenzie

Queensland University of Technology

View shared research outputs
Top Co-Authors

Avatar

Chris Bain

QIMR Berghofer Medical Research Institute

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Sue Walker

Queensland University of Technology

View shared research outputs
Top Co-Authors

Avatar

Anneliese Spinks

Commonwealth Scientific and Industrial Research Organisation

View shared research outputs
Top Co-Authors

Avatar

Daryl Higgins

Australian Institute of Family Studies

View shared research outputs
Top Co-Authors

Avatar

David M. Purdie

QIMR Berghofer Medical Research Institute

View shared research outputs
Top Co-Authors

Avatar

James W. Nixon

University of Queensland

View shared research outputs
Top Co-Authors

Avatar

Margaret Campbell

Queensland University of Technology

View shared research outputs
Top Co-Authors

Avatar

Lil Tonmyr

Public Health Agency of Canada

View shared research outputs
Researchain Logo
Decentralizing Knowledge