A Limitation of Administrative Datasets

AbstractGeographic variation of paediatric tonsillectomy, with or without adenoidectomy, (A/T) has been described since the 1930s until today but no studies have investigated the factors associated with this variation. This study described the geographical distribution of paediatric A/T across the state of Victoria, Australia, and investigated area-level factors associated with this variation. We used linked administrative datasets capturing all paediatric A/T performed between 2010 and 2015 in Victoria. Surgery data were collapsed by patient residence to the level of Local Government Area. Regression models were used to investigate the association between likelihood of surgery and area-level factors. We found a 10.2-fold difference in A/T rates across the state, with areas of higher rates more in regional than metropolitan areas. Area-level factors associated with geographic variation of A/T were percentage of children aged 5–9 years (IRR 1.07, 95%CI 1.01–1.14, P = 0.03) and low English language proficiency (IRR 0.95, 95% CI 0.90–0.99, P = 0.03). In a sub-population analysis of surgeries in the public sector, these factors were low maternal educational attainment (IRR 1.09, 95% CI 1.02–1.16, P < 0.001) and surgical waiting time (IRR 0.99635 95% CI 0.99273–0.99997, P = 0.048). Identifying areas of focus for improvement and factors associated with geographic variation will assist in improving equitable provision of paediatric A/T and decrease variability within regions.

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Linkage of Administrative Datasets: Enhancing Longitudinal Epidemiological Studies in the Era of “Big Data”

Current Epidemiology Reports ◽

10.1007/s40471-018-0177-5 ◽

2018 ◽

Vol 5 (4) ◽

pp. 317-320

Author(s):

Mauricio L. Barreto ◽

Laura C. Rodrigues

Keyword(s):

Big Data ◽

Epidemiological Studies ◽

Administrative Datasets

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Linking First Nations data to administrative health data within Manitoba

International Journal for Population Data Science ◽

10.23889/ijpds.v3i4.983 ◽

2018 ◽

Vol 3 (4) ◽

Author(s):

Venkata Shravan Ramayanam ◽

Leona Star

Keyword(s):

First Nations ◽

Health Information ◽

Personal Health Information ◽

Personal Health ◽

Data Governance ◽

Information Research ◽

University Of Manitoba ◽

Manitoba Health ◽

First Time ◽

Administrative Datasets

IntroductionFirst Nation peoples (FNs) were unable to track their own health care trends due to limitations in datasets. The key linked file enables FNs to identify themselves within administrative datasets and work with Crown governments to bring equity in all services and departments to support FNs understanding of wellness. Objectives and ApproachFirst Nations Health and Social Secretariat of Manitoba (FNHSSM) was established by 2013 resolution of Assembly of Manitoba Chiefs (AMC) and incorporated in 2014. FNHSSM leads and supports research according to FNs criteria approved by the Chiefs in Assembly. Information Sharing Agreements (ISA) have been developed with federal and provincial governments to mandate the processes for data linkage. The ISA allows Indian Status Register (ISR) data of Department of Indigenous Services Canada (DISC) to be transferred to FNHSSM to provide oversight, and link to Provincial Personal Health Information Numbers (PHINs) to create the de-identified, scrambled, and encrypted Key Linked file. ResultsPrevious linkages were done in early 2000s with FNs approval and oversight. The 2018 linkage is the first time that ISAs have been formally developed. ISA-1 is between FNHSSM and Manitoba Health Seniors and Active Living (MHSAL) to create Key Linked file. ISA-2 is between FNHSSM, MHSAL and Manitoba Centre for Health Policy (MCHP) at University of Manitoba, to create the FNs Research File. This research file can only be accessed with application to and approval by the MFNs Health Information Research Governance Committee. This key linked file allows FNHSSM to prepare community health profiles specifically and only for each FN, to respect FNs Data Governance under Chief and Council. A regional report on Manitoba FNs will be created for all MFNs, FNHSSM and MHSAL. Conclusion/ImplicationsLinking datasets helps to strengthen FNs data governance in re-building nations, recognizing FNs inherent right to self-determination. Linking files help to provide meaningful data to advocate for FNs rights and access to the resources and social determinants of health needed to achieve equity in Manitoba.

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Costs of Hospitalisation Due to Stroke: Linked Registry and Administrative Clinical Costing Study

International Journal for Population Data Science ◽

10.23889/ijpds.v5i5.1561 ◽

2020 ◽

Vol 5 (5) ◽

Author(s):

Joosup Kim

Keyword(s):

Length Of Stay ◽

Disease Burden ◽

Linear Regression Analysis ◽

Quality Data ◽

Clinical Registry ◽

Costing Study ◽

Multivariable Linear Regression Analysis ◽

Hospital Administrative ◽

Mean Cost ◽

Administrative Datasets

IntroductionRoutine clinical costing of hospital care provided for a representative sample of patients informs a national price for hospital reimbursement according to the diagnosis related group of a patient. These clinical costing data are available for linkage as part of hospital administrative datasets. Objectives and ApproachThe Australian Stroke Clinical Registry (AuSCR) is a national data collection program used to monitor the quality of care provided to patients who have been hospitalised with a clinical diagnosis of stroke or transient ischaemic attack (TIA). For the Stroke123 project, registrants from the Australian Stroke Clinical Registry in 2009-2013 were linked to hospital administrative datasets in four states (Victoria, Queensland, New South Wales and Western Australia). Clinical costing data were obtained for the cohort in Queensland only. Using these clinical costing data, we aimed to determine the costs of hospitalisations according to clinical and demographic characteristics of patients. Reliability of clinical costing data were tested by assessing the association with disease burden and length of stay using multivariable linear regression analysis. ResultsOf the 5522 patient episodes (from 23 hospitals), clinical costing data were available for 3909 (71%, from 22 hospitals). Patients with clinical costing data were more often aged <65 years (30% vs 24%, p<0.001) and more often male (56% vs 49%, p<0.001) than those without these data. Mean cost of an episode was $12,129. Episodes of intracerebral haemorrhage had a mean cost of $18,315, which was greater than the mean costs of ischaemic stroke ($13,925), TIA ($5,247) and undetermined stroke ($8,996). Greater costs were associated with greater disease burden according to the Charlson Comorbidity Index (p<0.001) and length of stay (p<0.001). Conclusion / ImplicationsIntegration of clinical quality data and costs will enable more holistic assessment and monitoring of the effects of quality improvement initiatives and therapeutic advances.

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Validity and Reliability of Stillbirth Data Using Linked Self-Reported and Administrative Datasets

Journal of Epidemiology ◽

10.2188/jea.je20140032 ◽

2015 ◽

Vol 25 (1) ◽

pp. 30-37 ◽

Cited By ~ 6

Author(s):

Alexis J. Hure ◽

Catherine L. Chojenta ◽

Jennifer R. Powers ◽

Julie E. Byles ◽

Deborah Loxton

Keyword(s):

Validity And Reliability ◽

Administrative Datasets

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From the Margins to the Mainstream

Health Economics and Healthcare Reform ◽

10.4018/978-1-5225-3168-5.ch018 ◽

2018 ◽

pp. 311-333

Author(s):

Ronald Ma

Keyword(s):

System Performance ◽

Healthcare Costs ◽

Quality Care ◽

Unit Cost ◽

Poor Quality ◽

Policy Implications ◽

Healthcare Budget ◽

Potential Applications ◽

Administrative Datasets

Healthcare system performance needs information on cost and revenue of care because of the rising healthcare costs. Empowering clinicians with clinical costing information is central to the success of containing costs. This information holds clinical data linkage unifying clinical, financial and administrative datasets, and seems to facilitate the spending of scarce health care resources in a way that produces the biggest difference in clinical outcomes. This chapter looks at the methodology and processes of clinical costing and its potential applications to facilitate the delivery of value-based healthcare, which confers quality care at lowest unit cost. Policy implications would be purchasing value-based healthcare, based mostly on quality of care after removing avoidable costs for inefficiency and poor quality. Clinician participation in the clinical costing is the key to success, because clinicians will be informed of the options available to choose the most value-based healthcare, which will, in turn, take care of the tight healthcare budget. Yet, this method of clinical costing is still at the margins.

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Accuracy of massive transfusion as a surrogate for significant traumatic bleeding in health administrative datasets

Injury ◽

10.1016/j.injury.2018.11.014 ◽

2019 ◽

Vol 50 (2) ◽

pp. 318-323 ◽

Cited By ~ 2

Author(s):

Alexandre Tran ◽

Marie-Joe Nemnom ◽

Jacinthe Lampron ◽

Maher Matar ◽

Christian Vaillancourt ◽

...

Keyword(s):

Massive Transfusion ◽

Traumatic Bleeding ◽

Administrative Datasets

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Consent to data linkage in a large online epidemiological survey of 18–23 year old Australian women in 2012–13

BMC Medical Research Methodology ◽

10.1186/s12874-019-0880-z ◽

2019 ◽

Vol 19 (1) ◽

Author(s):

Anna Graves ◽

Deirdre McLaughlin ◽

Janni Leung ◽

Jennifer Powers

Keyword(s):

Survey Data ◽

Online Survey ◽

Data Linkage ◽

Regression Tree ◽

Well Being ◽

Epidemiological Survey ◽

Classification And Regression Tree ◽

Residential Address ◽

Linkage Information ◽

Administrative Datasets

Abstract Background Consent to link survey data with health-related administrative datasets is increasingly being sought but little is known about the influence of recruiting via online technologies on participants’ consents. The goal of this paper is to examine what factors (sociodemographic, recruitment, incentives, data linkage information, health) are associated with opt-in consent to link online survey data to administrative datasets (referred to as consent to data linkage). Methods The Australian Longitudinal Study on Women’s Health is a prospective study of factors affecting the health and well-being of women. We report on factors associated with opt-in consent to data linkage at the end of an online survey of a new cohort of 18–23 year old Australian women recruited in 2012–13. Classification and Regression Tree analysis with decision trees was used to predict consent. Results In this study 69% consented to data linkage. The provision of residential address by the individual, or not (as a measure of attitudes towards privacy), was the most important factor in classifying the data into similar groups of consenters (76% consenters versus 47% respectively). Thereafter, for those who did not provide their residential address, the incentives and data linkage information that was offered was the next most important factor, with incentive 2: limited-edition designer leggings and additional information about confidentiality showing increases in consent rates over Incentive 1: AUD50 gift voucher: 60% versus 37%. Conclusions In young Australian women, attitudes towards privacy was strongly associated with consenting to data linkage. Providing additional details about data confidentiality was successful in increasing consent and so was cohort appropriate incentives. Ensuring that prospective participants understand the consent and privacy protocols in place to protect their confidential information builds confidence in consenting to data linkage.

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