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Jurnal

International Journal of Population Data Science

Scopus

ISSN 2399-4908 · Swansea University · 3.344 artikel di indeks

  1. Artikel Jurnal Teks lengkap

    Data Resource Profile: The Life and health After Childhood cancEr (LACE) project

    Heather Baldwin; Sarah Pont; Anne Currell dkk.

    International Journal of Population Data Science, Vol. 8 No. 6 · 2026 · Inggris · DOAJ Scopus

    Introduction In Australia, around 85% of children survive childhood cancer. Yet, up to 80% of survivors experience subsequent adverse health conditions called late effects, largely attributed to cancer treatment. The LACE study is a population-based linked data resource that aims to facilitate the…

    Juga tersedia di: DOAJ

  2. Artikel Jurnal Teks lengkap

    Genetic risk score informed re-evaluation of phenotype quality control to maximize power in epidemiological studies: application to lung function

    Jing Chen; Nick Shrine; Abril G Izquierdo dkk.

    International Journal of Population Data Science, Vol. 11 No. 1 · 2026 · Inggris · DOAJ Scopus

    Introduction Clinical guidelines may reduce statistical power in epidemiological studies by discarding informative measures. Epidemiological studies of lung function may discard one-third to one-half of participants due to spirometry measures deemed "low quality" using criteria adapted from…

  3. Artikel Jurnal Teks lengkap

    Data Resource Profile: The Scottish Combined Medicines Dataset (SCoMeD)

    Tanja Mueller; Lynne Jarvis; Victoria Stark dkk.

    International Journal of Population Data Science, Vol. 8 No. 6 · 2026 · Inggris · DOAJ Scopus

    Introduction Prescribing data has been collected electronically in Scotland for many years; however, data are collated in individual, non-overlapping datasets based on the origin of the prescription (e.g., primary or secondary care). The vision was to create a unified view of all prescribing data…

    Juga tersedia di: DOAJ

  4. Artikel Jurnal Teks lengkap

    Identifying Local Priorities for Research with Linked Routine Data: An Online Workshop Method

    Hollie Henderson; Sally Bridges; Maria Bryant dkk.

    International Journal of Population Data Science, Vol. 11 No. 1 · 2026 · Inggris · DOAJ Scopus

    Introduction Priority setting with patients, public and professionals is essential for research utilising routinely collected data, as this ensures data are being used in the public interest. However, it is challenging to identify research priorities that are relevant to a wide range of local…

    Juga tersedia di: DOAJ

  5. Artikel Jurnal

    The intergenerational health, social care, and justice system contacts associated with household substance misuse in Wales

    Hywel Evans; Ian Farr; Grace Bailey dkk.

    International Journal of Population Data Science, Vol. 11 No. 1 · 2026 · Inggris · DOAJ Scopus

    Background Household substance misuse (SM) is associated with child deprivation and worse physical and mental health. This study utilised linked healthcare, justice, and children's social care data in Wales for the first time, to create a reusable cohort of households that experience substance…

  6. Artikel Jurnal

    Linking primary care data from Clinical Practice Research Datalink to secondary care and other health-related patient data: update and implications

    Justin Chan; Rhys Barnett; Susan Hodgson dkk.

    International Journal of Population Data Science, Vol. 11 No. 1 · 2026 · Inggris · DOAJ Scopus

    Introduction Being able to accurately link primary and secondary healthcare records is invaluable for public health research. The Clinical Practice Research Datalink (CPRD) collects and curates primary care electronic health records from UK GP practices. These data are linked to secondary health…

  7. Artikel Jurnal

    Developing resources to facilitate public conversations about the use of linked address-based data for research

    Nicola Firman; Carol Dezateux; Claire Newman dkk.

    International Journal of Population Data Science, Vol. 11 No. 1 · 2026 · Inggris · DOAJ Scopus

    Introduction Unique Property Reference Numbers (UPRNs) provide every addressable location in the United Kingdom (UK) with an identifier up to 12-digits in length, which are persistently unique, and are a mandated standard across the public sector in the UK. This standardisation means they are…

  8. Artikel Jurnal

    Leveraging census data to design and implement an area-based deprivation index to assess health inequalities in Ecuador

    Diego Andrade; Ruth Dundas; Jonathan Olsen dkk.

    International Journal of Population Data Science, Vol. 10 No. 3 · 2026 · Inggris · DOAJ Scopus

    Introduction Deprivation measures have been used in research to assess within-country health inequalities globally. Most of these indices are created using data from national census, given their availability and nationwide coverage. Objectives This study aims to create a census-based deprivation…

  9. Artikel Jurnal

    Evaluation of special educational needs and disability provision in English primary schools using administrative health and education data in the ECHILD database

    Ruth Gilbert; Jennifer Saxton; Ayana Cant dkk.

    International Journal of Population Data Science, Vol. 10 No. 2 · 2026 · Inggris · DOAJ Scopus

    Introduction Schools worldwide balance whole-class teaching with additional provision for children with special educational needs or disability (SEND). Robust evidence on equity and effectiveness of SEND provision is essential to address growing demand and rising costs globally. Objectives To…

  10. Artikel Jurnal

    Global Mind Project data in the United States: A comparison with national statistics

    Joseph Taylor; Oleksii Sukhoi; Jennifer Jane Newson dkk.

    International Journal of Population Data Science, Vol. 11 No. 1 · 2026 · Inggris · DOAJ Scopus

    Background The rapid growth of internet and mobile technologies has opened up new, low-cost methods for large-scale population surveys. The Global Mind Project (GMP) is one such survey that uses quota-based online strategies that dynamically target respondents by age, sex, and location. However…

  11. Artikel Jurnal

    The Desirable Health Indicator: A New Indicator of Population Health and Healthcare Utilisation

    Harri Doel; Lucy J Griffiths; Rhodri David Johnson dkk.

    International Journal of Population Data Science, Vol. 11 No. 1 · 2026 · Inggris · DOAJ Scopus

    Background and Objective Healthcare research faces challenges in developing metrics that resonate with the general public or policymakers. We created a Desirable Health Indicator (DHI) to address this gap, centred around New Year's wishes for survival and non-occurrence of undesired events in the…

  12. Artikel Jurnal

    Data Resource Profile: Public Health Scotland (PHS) Homecare Medicines Dataset: A National Resource for Linked Prescribing Data for Specialist Medicines Prescribed in Hospital Outpatient setting and Supplied Via Homecare Services

    Amanj Kurdi; Laura Stobo; Morven Millar dkk.

    International Journal of Population Data Science, Vol. 8 No. 6 · 2026 · Inggris · DOAJ Scopus

    Introduction The Homecare Medicines (HCM) dataset is a national, patient-level dataset developed by Public Health Scotland (PHS) to capture the supply of specialist medicines delivered through homecare services in Scotland. These services are a critical component of outpatient treatment pathways…

  13. Artikel Jurnal

    Association between daily maximum temperature and immediate-to-delayed gout flare hospitalisations: a population-level time series study in metropolitan Perth, Australia

    Derrick Lopez; Ross J. Marriott; Johannes Nossent dkk.

    International Journal of Population Data Science, Vol. 11 No. 1 · 2026 · Inggris · DOAJ Scopus

    Background Ambient temperature may alter the risk of gout flare. We assessed the association between daily maximum temperature on the immediate-to-delayed (lag) hospitalisations for gout flare at the whole-population-level. Methods Data were extracted from the Western Australian Hospital Morbidity…

  14. Artikel Jurnal

    Data Resource Profile: Maternity Services Dataset (MSDS)

    Catherine Stewart; Jennifer Hall; Katie Harron

    International Journal of Population Data Science, Vol. 8 No. 6 · 2026 · Inggris · DOAJ Scopus

    Introduction The Maternity Services Dataset (MSDS) is a comprehensive administrative dataset, capturing detailed information on NHS-funded maternity services in England. It encompasses the full maternity care pathway. There are two versions of the dataset: MSDS V1.5, introduced in May 2015, and the…

  15. Artikel Jurnal

    Data Resource Profile: The Mental Health of Children and Young People (MHCYP) 2017 and follow-up surveys

    Mohammad Karimipour; Harry Barker; Tamsin Newlove-Delgado dkk.

    International Journal of Population Data Science, Vol. 8 No. 6 · 2026 · Inggris · DOAJ Scopus

    Introduction Amid growing global concern about child and adolescent mental health problems and their long-term consequences, research in this area is increasingly critical. Population-representative datasets are valuable resources for addressing these challenges. The Mental Health of Children and…

  16. Artikel Jurnal

    Receipt of respite services among families of children and youth with special health care needs: A population-based cohort study

    Roberta Woodgate; Corinne Isaak; Aynslie Hinds dkk.

    International Journal of Population Data Science, Vol. 11 No. 1 · 2026 · Inggris · DOAJ Scopus

    Objectives Children and youth with special health care needs (CYSHCN) often require ongoing care, which can be an immense undertaking for their families. To provide a short-term break, families may obtain respite services, however, respite care may not be accessible or available to those who need…

  17. Artikel Jurnal

    Adjusting for confounding in population administrative data when confounders are only measured in a linked cohort

    Richard J Silverwood; Gergő Baranyi; Lisa Calderwood dkk.

    International Journal of Population Data Science, Vol. 11 No. 1 · 2026 · Inggris · DOAJ Scopus

    Introduction Analyses of population administrative data can often only be minimally adjusted due to a lack of control variables, potentially leading to bias due to residual confounding. Objectives We aimed to use linked cohort data to help address residual confounding in analyses of population…

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