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Benefits of not smoking during pregnancy for non-Aboriginal women and their babies in New South Wales, Australia: a record linkage study.

International journal of population data science

Patterson JA, Cashmore A, Ioannides S, Milat AJ, Nippita TA, Morris JM, Torvaldsen S.
PMID: 34970635
Int J Popul Data Sci. 2021 Dec 14;6(3):1699. doi: 10.23889/ijpds.v6i3.1699. eCollection 2021.

BACKGROUND: Smoking rates among pregnant women in New South Wales (NSW) have plateaued at 8-9%. To inform relevant smoking reduction efforts, we aimed to quantify the benefits of METHODS: This population-based cohort study used linked-data from routinely collected data...

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Patterson JA, Cashmore A, Ioannides S, et al. Benefits of not smoking during pregnancy for non-Aboriginal women and their babies in New South Wales, Australia: a record linkage study. Int J Popul Data Sci. 2021;6(3):1699doi: 10.23889/ijpds.v6i3.1699.
Patterson, J. A., Cashmore, A., Ioannides, S., Milat, A. J., Nippita, T. A., Morris, J. M., & Torvaldsen, S. (2021). Benefits of not smoking during pregnancy for non-Aboriginal women and their babies in New South Wales, Australia: a record linkage study. International journal of population data science, 6(3), 1699. https://doi.org/10.23889/ijpds.v6i3.1699
Patterson, Jillian A, et al. "Benefits of not smoking during pregnancy for non-Aboriginal women and their babies in New South Wales, Australia: a record linkage study." International journal of population data science vol. 6,3 (2021): 1699. doi: https://doi.org/10.23889/ijpds.v6i3.1699
Patterson JA, Cashmore A, Ioannides S, Milat AJ, Nippita TA, Morris JM, Torvaldsen S. Benefits of not smoking during pregnancy for non-Aboriginal women and their babies in New South Wales, Australia: a record linkage study. Int J Popul Data Sci. 2021 Dec 14;6(3):1699. doi: 10.23889/ijpds.v6i3.1699. eCollection 2021. PMID: 34970635; PMCID: PMC8678976.
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Prevalence estimation of intellectual disability using national administrative and household survey data: The importance of survey question specificity.

International journal of population data science

McBride O, Heslop P, Glover G, Taggart T, Hanna-Trainor L, Shevlin M, Murphy J.
PMID: 34164584
Int J Popul Data Sci. 2021 Jan 28;6(1):1342. doi: 10.23889/ijpds.v6i1.1342.

BACKGROUND: Variability in prevalence estimation of intellectual disability has been attributed to heterogeneity in study settings, methodologies, and intellectual disability case definitions. Among studies based on national household survey data specifically, variability in prevalence estimation has partly been attributed...

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McBride O, Heslop P, Glover G, et al. Prevalence estimation of intellectual disability using national administrative and household survey data: The importance of survey question specificity. Int J Popul Data Sci. 2021;6(1):1342doi: 10.23889/ijpds.v6i1.1342.
McBride, O., Heslop, P., Glover, G., Taggart, T., Hanna-Trainor, L., Shevlin, M., & Murphy, J. (2021). Prevalence estimation of intellectual disability using national administrative and household survey data: The importance of survey question specificity. International journal of population data science, 6(1), 1342. https://doi.org/10.23889/ijpds.v6i1.1342
McBride, O, et al. "Prevalence estimation of intellectual disability using national administrative and household survey data: The importance of survey question specificity." International journal of population data science vol. 6,1 (2021): 1342. doi: https://doi.org/10.23889/ijpds.v6i1.1342
McBride O, Heslop P, Glover G, Taggart T, Hanna-Trainor L, Shevlin M, Murphy J. Prevalence estimation of intellectual disability using national administrative and household survey data: The importance of survey question specificity. Int J Popul Data Sci. 2021 Jan 28;6(1):1342. doi: 10.23889/ijpds.v6i1.1342. PMID: 34164584; PMCID: PMC8188522.
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Can Linked Electronic Medical Record and Administrative Data Help Us Identify Those Living with Frailty?.

International journal of population data science

Wong ST, Katz A, Williamson T, Singer A, Peterson S, Taylor C, Price M, McCracken R, Thandi M.
PMID: 33644409
Int J Popul Data Sci. 2020 Aug 13;5(1):1343. doi: 10.23889/ijpds.v5i1.1343.

INTRODUCTION: Frailty is a complex condition that affects many aspects of patients' wellbeing and health outcomes.OBJECTIVES: We used available Electronic Medical Record (EMR) and administrative data to determine definitions of frailty. We also examined whether there were differences in...

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Wong ST, Katz A, Williamson T, et al. Can Linked Electronic Medical Record and Administrative Data Help Us Identify Those Living with Frailty?. Int J Popul Data Sci. 2020;5(1):1343doi: 10.23889/ijpds.v5i1.1343.
Wong, S. T., Katz, A., Williamson, T., Singer, A., Peterson, S., Taylor, C., Price, M., McCracken, R., & Thandi, M. (2020). Can Linked Electronic Medical Record and Administrative Data Help Us Identify Those Living with Frailty?. International journal of population data science, 5(1), 1343. https://doi.org/10.23889/ijpds.v5i1.1343
Wong, S T, et al. "Can Linked Electronic Medical Record and Administrative Data Help Us Identify Those Living with Frailty?." International journal of population data science vol. 5,1 (2020): 1343. doi: https://doi.org/10.23889/ijpds.v5i1.1343
Wong ST, Katz A, Williamson T, Singer A, Peterson S, Taylor C, Price M, McCracken R, Thandi M. Can Linked Electronic Medical Record and Administrative Data Help Us Identify Those Living with Frailty?. Int J Popul Data Sci. 2020 Aug 13;5(1):1343. doi: 10.23889/ijpds.v5i1.1343. PMID: 33644409; PMCID: PMC7893852.
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Development of comparable algorithms to measure primary care indicators using administrative health data across three Canadian provinces.

International journal of population data science

Alsabbagh MW, Kueper JK, Wong ST, Burge F, Johnston S, Peterson S, Lawson B, Chung H, Bennett M, Blackman S, McGrail K, Campbell J, Hogg W, Glazier R.
PMID: 33644408
Int J Popul Data Sci. 2020 Aug 11;5(1):1340. doi: 10.23889/ijpds.v5i1.1340.

INTRODUCTION: Performance measurement has been recognized as key to transforming primary care (PC). Yet, performance reporting in PC lags behind even though high-performing PC is foundational to an effective and efficient health care system.OBJECTIVES: We used administrative data from...

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Alsabbagh MW, Kueper JK, Wong ST, et al. Development of comparable algorithms to measure primary care indicators using administrative health data across three Canadian provinces. Int J Popul Data Sci. 2020;5(1):1340doi: 10.23889/ijpds.v5i1.1340.
Alsabbagh, M. W., Kueper, J. K., Wong, S. T., Burge, F., Johnston, S., Peterson, S., Lawson, B., Chung, H., Bennett, M., Blackman, S., McGrail, K., Campbell, J., Hogg, W., & Glazier, R. (2020). Development of comparable algorithms to measure primary care indicators using administrative health data across three Canadian provinces. International journal of population data science, 5(1), 1340. https://doi.org/10.23889/ijpds.v5i1.1340
Alsabbagh, M W, et al. "Development of comparable algorithms to measure primary care indicators using administrative health data across three Canadian provinces." International journal of population data science vol. 5,1 (2020): 1340. doi: https://doi.org/10.23889/ijpds.v5i1.1340
Alsabbagh MW, Kueper JK, Wong ST, Burge F, Johnston S, Peterson S, Lawson B, Chung H, Bennett M, Blackman S, McGrail K, Campbell J, Hogg W, Glazier R. Development of comparable algorithms to measure primary care indicators using administrative health data across three Canadian provinces. Int J Popul Data Sci. 2020 Aug 11;5(1):1340. doi: 10.23889/ijpds.v5i1.1340. PMID: 33644408; PMCID: PMC7893851.
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Data Resource: Children and Family Court Advisory and Support Service (Cafcass) public family law administrative records in England.

International journal of population data science

Bedston SJ, Pearson RJ, Jay MA, Broadhurst K, Gilbert R, Wijlaars L.
PMID: 34232967
Int J Popul Data Sci. 2020 Mar 26;5(1):1159. doi: 10.23889/ijpds.v5i1.1159. eCollection 2020.

INTRODUCTION: In England, in cases of child maltreatment or neglect, the state can intervene through the family court to remove children from their family home and place them in out-of-home care. The Children and Family Court Advisory and Support...

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Bedston SJ, Pearson RJ, Jay MA, et al. Data Resource: Children and Family Court Advisory and Support Service (Cafcass) public family law administrative records in England. Int J Popul Data Sci. 2020;5(1):1159doi: 10.23889/ijpds.v5i1.1159.
Bedston, S. J., Pearson, R. J., Jay, M. A., Broadhurst, K., Gilbert, R., & Wijlaars, L. (2020). Data Resource: Children and Family Court Advisory and Support Service (Cafcass) public family law administrative records in England. International journal of population data science, 5(1), 1159. https://doi.org/10.23889/ijpds.v5i1.1159
Bedston, S J, et al. "Data Resource: Children and Family Court Advisory and Support Service (Cafcass) public family law administrative records in England." International journal of population data science vol. 5,1 (2020): 1159. doi: https://doi.org/10.23889/ijpds.v5i1.1159
Bedston SJ, Pearson RJ, Jay MA, Broadhurst K, Gilbert R, Wijlaars L. Data Resource: Children and Family Court Advisory and Support Service (Cafcass) public family law administrative records in England. Int J Popul Data Sci. 2020 Mar 26;5(1):1159. doi: 10.23889/ijpds.v5i1.1159. eCollection 2020. PMID: 34232967; PMCID: PMC7482375.
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Challenges Associated with Cross-Jurisdictional Analyses using Administrative Health Data and Primary Care Electronic Medical Records in Canada.

International journal of population data science

Katz A, Enns J, Wong ST, Williamson T, Singer A, McGrail K, Bakal JA, Taylor C, Peterson S.
PMID: 34095523
Int J Popul Data Sci. 2018 Oct 05;3(3):437. doi: 10.23889/ijpds.v3i3.437.

Over the last 30 years, public investments in Canada and many other countries have created clinical and administrative health data repositories to support research on health and social services, population health and health policy. However, there is limited capacity...

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Katz A, Enns J, Wong ST, et al. Challenges Associated with Cross-Jurisdictional Analyses using Administrative Health Data and Primary Care Electronic Medical Records in Canada. Int J Popul Data Sci. 2018;3(3):437doi: 10.23889/ijpds.v3i3.437.
Katz, A., Enns, J., Wong, S. T., Williamson, T., Singer, A., McGrail, K., Bakal, J. A., Taylor, C., & Peterson, S. (2018). Challenges Associated with Cross-Jurisdictional Analyses using Administrative Health Data and Primary Care Electronic Medical Records in Canada. International journal of population data science, 3(3), 437. https://doi.org/10.23889/ijpds.v3i3.437
Katz, Alan, et al. "Challenges Associated with Cross-Jurisdictional Analyses using Administrative Health Data and Primary Care Electronic Medical Records in Canada." International journal of population data science vol. 3,3 (2018): 437. doi: https://doi.org/10.23889/ijpds.v3i3.437
Katz A, Enns J, Wong ST, Williamson T, Singer A, McGrail K, Bakal JA, Taylor C, Peterson S. Challenges Associated with Cross-Jurisdictional Analyses using Administrative Health Data and Primary Care Electronic Medical Records in Canada. Int J Popul Data Sci. 2018 Oct 05;3(3):437. doi: 10.23889/ijpds.v3i3.437. PMID: 34095523; PMCID: PMC8142948.
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Trust, security and public interest: striking the balance A narrative review of previous literature on public attitudes towards the sharing, linking and use of administrative data for research.

International journal of population data science

Waind E.
PMID: 34036179
Int J Popul Data Sci. 2020 Dec 11;5(3):1368. doi: 10.23889/ijpds.v5i3.1368.

This narrative literature review explores previous findings in relation to the UK public's attitudes towards the sharing, linking and use of public sector administrative data for research. A total of 16 papers are included in the review, for which...

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Waind E. Trust, security and public interest: striking the balance A narrative review of previous literature on public attitudes towards the sharing, linking and use of administrative data for research. Int J Popul Data Sci. 2020;5(3):1368doi: 10.23889/ijpds.v5i3.1368.
Waind, E. (2020). Trust, security and public interest: striking the balance A narrative review of previous literature on public attitudes towards the sharing, linking and use of administrative data for research. International journal of population data science, 5(3), 1368. https://doi.org/10.23889/ijpds.v5i3.1368
Waind, Elizabeth. "Trust, security and public interest: striking the balance A narrative review of previous literature on public attitudes towards the sharing, linking and use of administrative data for research." International journal of population data science vol. 5,3 (2020): 1368. doi: https://doi.org/10.23889/ijpds.v5i3.1368
Waind E. Trust, security and public interest: striking the balance A narrative review of previous literature on public attitudes towards the sharing, linking and use of administrative data for research. Int J Popul Data Sci. 2020 Dec 11;5(3):1368. doi: 10.23889/ijpds.v5i3.1368. PMID: 34036179; PMCID: PMC8127133.
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A novel method for identifying care home residents in England: a validation study.

International journal of population data science

Santos F, Conti S, Wolters A.
PMID: 34568584
Int J Popul Data Sci. 2021 Sep 15;5(4):1666. doi: 10.23889/ijpds.v5i4.1666. eCollection 2020.

INTRODUCTION: The ability to identify residents of care homes in routinely collected health care data is key to informing healthcare planning decisions and delivery initiatives targeting the older and frail population. Health-care planning and delivery implications at national level...

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Santos F, Conti S, Wolters A. A novel method for identifying care home residents in England: a validation study. Int J Popul Data Sci. 2021;5(4):1666doi: 10.23889/ijpds.v5i4.1666.
Santos, F., Conti, S., & Wolters, A. (2020). A novel method for identifying care home residents in England: a validation study. International journal of population data science, 5(4), 1666. https://doi.org/10.23889/ijpds.v5i4.1666
Santos, Filipe, et al. "A novel method for identifying care home residents in England: a validation study." International journal of population data science vol. 5,4 (2020): 1666. doi: https://doi.org/10.23889/ijpds.v5i4.1666
Santos F, Conti S, Wolters A. A novel method for identifying care home residents in England: a validation study. Int J Popul Data Sci. 2021 Sep 15;5(4):1666. doi: 10.23889/ijpds.v5i4.1666. eCollection 2020. PMID: 34568584; PMCID: PMC8441962.
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Using the RECORD guidelines to improve transparent reporting of studies based on routinely collected data.

International journal of population data science

Harron K, Benchimol E, Langan S.
PMID: 30542668
Int J Popul Data Sci. 2018 Jan 10;3(1):2. doi: 10.23889/ijpds.v3i1.419. Epub 2018 Jan 24.

Transparent reporting of routinely-collected data studies is key to producing valid and reliable research that can inform decisions about patient care and health systems. This article discusses some of the unique challenges in using these data sources, and explains...

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Harron K, Benchimol E, Langan S. Using the RECORD guidelines to improve transparent reporting of studies based on routinely collected data. Int J Popul Data Sci. 2018;3(1):2doi: 10.23889/ijpds.v3i1.419.
Harron, K., Benchimol, E., & Langan, S. (2018). Using the RECORD guidelines to improve transparent reporting of studies based on routinely collected data. International journal of population data science, 3(1), 2. https://doi.org/10.23889/ijpds.v3i1.419
Harron, K, et al. "Using the RECORD guidelines to improve transparent reporting of studies based on routinely collected data." International journal of population data science vol. 3,1 (2018): 2. doi: https://doi.org/10.23889/ijpds.v3i1.419
Harron K, Benchimol E, Langan S. Using the RECORD guidelines to improve transparent reporting of studies based on routinely collected data. Int J Popul Data Sci. 2018 Jan 10;3(1):2. doi: 10.23889/ijpds.v3i1.419. Epub 2018 Jan 24. PMID: 30542668; PMCID: PMC6287710.
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Expanding the impact of a longstanding Canadian cardiac registry through data linkage: challenges and opportunities.

International journal of population data science

Southern DA, James MT, Wilton SB, DeKoning L, Quan H, Knudtson ML, Ghali WA.
PMID: 32935018
Int J Popul Data Sci. 2018 Nov 12;3(3):441. doi: 10.23889/ijpds.v3i3.441.

The Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH) began as a province-wide inception cohort of all adult Alberta residents undergoing cardiac catheterization for ischemic heart disease. Strengths of the APPROACH initiative include the prospective collection...

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Southern DA, James MT, Wilton SB, et al. Expanding the impact of a longstanding Canadian cardiac registry through data linkage: challenges and opportunities. Int J Popul Data Sci. 2018;3(3):441doi: 10.23889/ijpds.v3i3.441.
Southern, D. A., James, M. T., Wilton, S. B., DeKoning, L., Quan, H., Knudtson, M. L., & Ghali, W. A. (2018). Expanding the impact of a longstanding Canadian cardiac registry through data linkage: challenges and opportunities. International journal of population data science, 3(3), 441. https://doi.org/10.23889/ijpds.v3i3.441
Southern, Danielle A, et al. "Expanding the impact of a longstanding Canadian cardiac registry through data linkage: challenges and opportunities." International journal of population data science vol. 3,3 (2018): 441. doi: https://doi.org/10.23889/ijpds.v3i3.441
Southern DA, James MT, Wilton SB, DeKoning L, Quan H, Knudtson ML, Ghali WA. Expanding the impact of a longstanding Canadian cardiac registry through data linkage: challenges and opportunities. Int J Popul Data Sci. 2018 Nov 12;3(3):441. doi: 10.23889/ijpds.v3i3.441. PMID: 32935018; PMCID: PMC7299492.
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Including household effects in Big Data research: the experience of building a longitudinal residence algorithm using linked administrative data in Wales.

International journal of population data science

Tingay KS, Roberts M, Musselwhite CB.
PMID: 32935012
Int J Popul Data Sci. 2018 Nov 20;3(1):452. doi: 10.23889/ijpds.v3i1.452.

The effect of the wider social-environment on physical and emotional health has long been an area of study. Extrapolating the impact of the individual's immediate environment, such as living with a smoker or caring for a chronically-ill child, would...

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Tingay KS, Roberts M, Musselwhite CB. Including household effects in Big Data research: the experience of building a longitudinal residence algorithm using linked administrative data in Wales. Int J Popul Data Sci. 2018;3(1):452doi: 10.23889/ijpds.v3i1.452.
Tingay, K. S., Roberts, M., & Musselwhite, C. B. (2018). Including household effects in Big Data research: the experience of building a longitudinal residence algorithm using linked administrative data in Wales. International journal of population data science, 3(1), 452. https://doi.org/10.23889/ijpds.v3i1.452
Tingay, Karen Susan, et al. "Including household effects in Big Data research: the experience of building a longitudinal residence algorithm using linked administrative data in Wales." International journal of population data science vol. 3,1 (2018): 452. doi: https://doi.org/10.23889/ijpds.v3i1.452
Tingay KS, Roberts M, Musselwhite CB. Including household effects in Big Data research: the experience of building a longitudinal residence algorithm using linked administrative data in Wales. Int J Popul Data Sci. 2018 Nov 20;3(1):452. doi: 10.23889/ijpds.v3i1.452. PMID: 32935012; PMCID: PMC7299488.
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The Experience of Establishing Data Sharing & Linkage Platforms for Administrative, Research and Community-Service Data.

International journal of population data science

Manhas KP, Cui X, Tough SC.
PMID: 32935021
Int J Popul Data Sci. 2019 Feb 13;4(1):465. doi: 10.23889/ijpds.v4i1.465.

INTRODUCTION: Innovative data platforms (e.g. biobanks, repositories) continually emerge to facilitate data sharing. Extant and emerging data platforms must navigate myriad tensions for successful data sharing and re-use. Two Alberta data platforms navigated such processes and factors regarding administrative,...

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Manhas KP, Cui X, Tough SC. The Experience of Establishing Data Sharing & Linkage Platforms for Administrative, Research and Community-Service Data. Int J Popul Data Sci. 2019;4(1):465doi: 10.23889/ijpds.v4i1.465.
Manhas, K. P., Cui, X., & Tough, S. C. (2019). The Experience of Establishing Data Sharing & Linkage Platforms for Administrative, Research and Community-Service Data. International journal of population data science, 4(1), 465. https://doi.org/10.23889/ijpds.v4i1.465
Manhas, Kiran Pohar, et al. "The Experience of Establishing Data Sharing & Linkage Platforms for Administrative, Research and Community-Service Data." International journal of population data science vol. 4,1 (2019): 465. doi: https://doi.org/10.23889/ijpds.v4i1.465
Manhas KP, Cui X, Tough SC. The Experience of Establishing Data Sharing & Linkage Platforms for Administrative, Research and Community-Service Data. Int J Popul Data Sci. 2019 Feb 13;4(1):465. doi: 10.23889/ijpds.v4i1.465. PMID: 32935021; PMCID: PMC7299464.
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Showing 1 to 12 of 185 entries