Evidence map›Paper›PMID 41867497›Full record

ArticleInternational journal of population data science2023

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, Will Clayton, Andrew Merrick, Stuart McTaggart, Tanja Mueller, Marion Bennie

Abstract read
In one paragraph

Article in International journal of population data science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Amanj KurdiPublic Health Scotland, Scotland, UK.
Laura StoboPublic Health Scotland, Scotland, UK.
Morven MillarPublic Health Scotland, Scotland, UK.
Will ClaytonPublic Health Scotland, Scotland, UK.
Andrew MerrickPublic Health Scotland, Scotland, UK.
Stuart McTaggartPublic Health Scotland, Scotland, UK.
Tanja MuellerPublic Health Scotland, Scotland, UK.
Marion BenniePublic Health Scotland, Scotland, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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, particularly for long-term conditions requiring specialist care, such as inflammatory arthritis, cancer, and immune-mediated diseases. Prior to 2019, data on homecare prescribing were fragmented and locally held, limiting national analyses. Methods: The dataset was initially established during the COVID-19 pandemic to identify immunocompromised patients for vaccine prioritisation. Monthly supply-level data are submitted by homecare providers. Each record includes a pseudonymised unique patient identifier, derived through national health person-level data linkage processes and standardised medicine information mapped to the NHS dictionary of medicines and devices (dm+d), including medicine name (brand and/or generic), formulation and supply date, and, where provided, treatment indication. The presence of a unique patient identifier enables deterministic linkage with a range of national datasets, including community and hospital prescribing, hospital admissions, mortality, cancer registry, and demographic indicators. Results: The HCM dataset is held securely within the PHS national data infrastructure and accessed via the National Safe Haven. As of April 2025, it includes data from five national providers and covers approximately 98% of the Scottish homecare market. The dataset comprises over 1.3 million supply records for more than 41,000 patients since 2019. Data quality is high for core fields, with missingness levels very low-almost all key variables have <1% missing values-and more than 99.9% of records are successfully indexed with the unique patient identifier. Indication data is partially complete and improving. Medicines are coded using standardised drug dictionaries. Conclusion: Access to the HCM dataset is available through eDRIS subject to Public Benefit and Privacy Panel (HSC-PBPP) approval. The dataset is well suited for studies on medicine utilisation, equity in access, treatment outcomes, and service planning. Ongoing improvements include enhanced indication capture and integration with Scotland's wider digital prescribing infrastructure.

Indexed as

Drug PrescriptionsHome Care ServicesPrescription DrugsDatabases, FactualFemaleHumansScotlandPrescription Drugshome care servicesmedical record linkageobservational studiesPharmacoepidemiologyspecialty drugs

Identifiers

PMID41867497
PMCPMC13001856

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.