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    • International journal of population data science Journal

    Papers
    Development and Use of a Co-Produced Short Mood Survey to Collect Ground Truth in Digital Footprints Research
    Nina Di Cara,Oliver Davis,Claire Haworth
    International journal of population data science（2024）
    Introduction & Background To use digital footprint data for mental health and well-being research we often need to collect concurrent, high-quality measures of ground truth. Delivering frequent surveys to participants using an ecological momentary assessment (EMA) methodology is ...
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    Childhood Adversity and Traumatic Disorders: A Self-Report and Danish Linkage Study
    Siobhan Murphy,Mark Shevlin,Ask Elklit,Mogens Christoffersen
    International journal of population data science（2018）
    BackgroundAccurate assessment of childhood adversity is fundamental in understanding risk and resilient factors that can inform appropriate intervention and prevention strategies. Different statistical and methodological approaches (e.g., prospective, selfreported data) have been...
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    Participant Acceptability of Digital Footprint Data Collection Strategies: an Exemplar Approach to Participant Engagement and Involvement in the ALSPAC Birth Cohort Study
    Kate Shiells,Nina Di Cara,Anya Skatova,Oliver S. P. Davis,Claire M. A. Haworth,Andy L. Skinner,Richard Thomas,Alastair R. Tanner,John Macleod,Nicholas J. Timpson,Andy Boyd
    International journal of population data science（2020）
    IntroductionDigital footprint records -- the tracks and traces amassed by individuals as a result of their interactions with the internet, digital devices and services -- can provide ecologically valid data on individual behaviours. These could enhance longitudinal population stu...
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    The Canadian Neighbourhood Early Childhood Development (cannecd) Socioeconomic Index: Stability and Measurement Invariance over Time
    Barry Forer,Molly Pottruff,Eric Duku,Martin Guhn,Magdalena Janus
    International journal of population data science（2022）
    Objectives and ApproachThe CanNECD SES Index is a composite of 10 Canadian Census and Income Tax Filer variables, aggregated to 2,038 custom neighbourhoods covering all of Canada. The baseline 2006 Index accounted for 32% of the neighbourhood-level variance in overall development...
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    Evaluating a School-Based Intervention Through Routine Local Authority Data and National School Data: Challenges and Opportunities
    David Westlake,Kim Munnery,Linda Adara,Lena Meister,Philip Pallmann,Stavros Petrou,James White,Fiona Lugg-Widger
    International journal of population data science（2022）
    ObjectivesThe Department for Education funded local authorities (LAs) in England to embed social workers into schools (SWIS) so that they can work more effectively with teachers, children and families. A two-arm cluster randomised-controlled trial is evaluating the effect of SWIS...
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    Data Resource: the Kent Integrated Dataset (KID)
    D Lewer, T Bourne, A George, G Abi-Aad, C Taylor,J George
    International journal of population data science（2018）
    Introduction: Electronic healthcare records from the UK are accessible to researchers via a number of platforms, but these platforms typically include data from a limited subset of health and care services. The Kent Integrated Dataset (KID) aims to provide insight into system-wid...
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    Endopeptidase Character of Monoclonal Antibody I41-7 Subunits
    K Hatiuchi,E Hifumi,Y Mitsuda, T Uda
    International journal of population data science（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 not smoking during pregnancy for non-Aboriginal NSW mothers and their babies. The benefits of not smok...
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    Essential Requirements for Establishing and Operating Data Trusts: Practical Guidance Co-Developed by Representatives from Fifteen Canadian Organizations and Initiatives
    P. Alison Paprica, Eric Sutherland,Andrea Smith,Michael Brudno,Rosario G. Cartagena,Monique Crichlow,Brian K. Courtney, Chris Loken,Kimberlyn M. McGrail,Alex Ryan,Michael J. Schull,Adrian Thorogood,
    International journal of population data science（2020）
    Introduction Increasingly, the label "data trust" is being applied to repeatable mechanisms or approaches to sharing data in a timely, fair, safe, and equitable way. However, there is an absence of practical guidance regarding how to establish and operate a data trust. Aim and ap...
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    Evaluation of the ASSIGN Open-Source Deterministic Address-Matching Algorithm for Allocating Unique Property Reference Numbers to General Practitioner-Recorded Patient Addresses
    Gill Harper,David Stables, Paul Simon,Zaheer Ahmed, Kelvin Smith,John Robson,Carol Dezateux
    International journal of population data science（2021）
    Introduction Linking places to people is a core element of the UK government's geospatial strategy. Matching patient addresses in electronic health records to their Unique Property Reference Numbers (UPRNs) enables spatial linkage for research, innovation and public benefit. Avai...
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    Challenges in Early Years Data and Their Implications on Programme Evaluations
    Silvia Colonna, Kathryn Helliwell
    International journal of population data science（2024）
    The Welsh Government funds a wide range of Early Years programmes to both support parents to remain in work and children’s social, emotional and educational development. The interest of Welsh Ministers in this policy area has grown in recent years with expansions in this area car...
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    Lifetime Interpersonal Polyvictimization: Abuse Typologies and Mental Health Outcomes in a Nationally Representative Sample of Men from the United States
    Carol Rhonda Burns,Cherie Armour
    International journal of population data science（2018）
    BackgroundInterpersonal polyvictimisation experiences are a specific type of traumatic experience that include physical, sexual or psychological attacks against a person and much research has concentrated on female only or mixed samples. Being a victim of one form of victimisatio...
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    Filmed Monologue Vignettes: a Novel Method for Investigating How Clinicians Document Consultations in Electronic Health Records
    Simon Glew,Elizabeth M Ford,Helen Elizabeth Smith
    International journal of population data science（2018）
    Introduction and Objectives The accuracy of conclusions based on Electronic Healthcare Record (EHR) research is highly dependent on the correct selection of descriptors (codes) by users. We aimed to evaluate the feasibility and acceptability of filmed vignette monologues as a res...
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    Progress and Developments Towards Making Historic Administrative Data Research Ready
    Lee Williamson,Chris Dibben
    International journal of population data science（2024）
    ObjectivesTo make research ready data from transcribed historic civil registration records: birth, marriage and death (from mid-19th century onwards). To use historic records effectively for large-scale research they must not only be made machine-readable, but also coded in a sui...
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    Identifying Children with Cystic Fibrosis in Population-Scale Routinely Collected Data in Wales
    R. Griffiths,D. K. Schluter,A. Akbari,R. Cosgriff,D. Tucker,D. Taylor-Robinson
    International journal of population data science（2020）
    Introduction The challenges in identifying a cohort of people with a rare condition can be addressed by routinely collected, population-scale electronic health record (EHR) data, which provide large volumes of data at a national level. This paper describes the challenges of accur...
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    The Experience of Establishing Data Sharing & Linkage Platforms for Administrative, Research and Community-Service Data
    Kiran Pohar Manhas,Xinjie Cui,Suzanne C Tough
    International journal of population data science（2019）
    IntroductionInnovative 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 fact...
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    Exploring Locality Sensitive Hashing As a Blocking Method for Large-Scale Administrative Datasets
    Josie Plachta,Rachel Shipsey, Leah Quinn
    International journal of population data science（2023）
    ObjectivesLinking large-scale datasets is challenging due to the computational power required. This research explores using Locality-Sensitive-Hashing (LSH) as a novel blocking method to facilitate linking large administrative data. LSH uses an efficient technique of hashing data...
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    Evaluation of the Effectiveness of the Family Nurse Partnership Home Visiting Programme in First Time Young Mothers in Scotland: a Protocol for a Natural Experiment
    F. Lugg-Widger,M. Robling,M. Lau,S. Paranjothy,J. Pell,J. Sanders,J. White,R. Cannings-John
    International journal of population data science（2022）
    IntroductionThe Family Nurse Partnership(FNP) is an intensive home-visiting service for teenage first-time mothers (and children), developed/trialled in the US and adapted/trialled across Europe.The Scottish Government(SG) aims to build on and supplement the existing national/int...
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    Poor Birth Outcomes among Aboriginal Western Australians and Smoking, Alcohol and Substance Misuse, and Assault
    Alison Gibberd,Judy Simpson,Jocelyn Jones,Robyn Williams,Fiona Stanley,Sandra Eades
    International journal of population data science（2018）
    IntroductionOn average, Aboriginal neonates in Western Australia (WA) weigh 200g less than non-Aboriginal infants and are 2-3 times more likely to be preterm, stillborn, or die neonatally. They are also more likely to be exposed in utero to maternal behaviour risks like smoking, ...
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    Characterizing Potential Medication Related Harm in the 30-Days Following Hospitalization Using Linked Provincial Administrative Health Data
    Daniala L Weir, Douglas Pearson,Terence Tang,Allan Mills
    International journal of population data science（2020）
    IntroductionPatients transitioning between hospital and home are at risk of experiencing adverse drug events. Hospital-based care teams require a better understanding of how therapeutic decisions and patient risk factors impact adverse health outcomes following discharge. Objecti...
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    Estimation of Age of Transition from Paediatric to Adult Healthcare for Young People with Long Term Conditions Using Linked Routinely Collected Healthcare Data
    Stuart Jarvis,Gerry Richardson,Kate Flemming,Lorna Fraser
    International journal of population data science（2021）
    Introduction Healthcare transitions, including from paediatric to adult services, can be disruptive and cause a lack of continuity in care. Existing research on the paediatric-adult healthcare transition often uses a simple age cut-off to assign transition status. This risks misc...
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