INTEGRATE: A methodology to facilitate critical care research using multiple, linked electronic health records at population scale.
Introduction Critical Care is a specialty in medicine providing a service for severely ill and high-risk patients who, due to the nature of their condition, may require long periods recovering after discharge. Consequently, focus on the routine data collection carried out in Intensive Care Units (I...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Swansea University
2022-07-01
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| Series: | International Journal of Population Data Science |
| Subjects: | |
| Online Access: | https://ijpds.org/article/view/1724 |
| _version_ | 1827614145967554560 |
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| author | Rowena Griffiths Laura Herbert Ashley Akbari Rowena Bailey Joe Hollinghurst Richard Pugh Tamas Szakmany Fatemeh Torabi Ronan A Lyons |
| author_facet | Rowena Griffiths Laura Herbert Ashley Akbari Rowena Bailey Joe Hollinghurst Richard Pugh Tamas Szakmany Fatemeh Torabi Ronan A Lyons |
| author_sort | Rowena Griffiths |
| collection | DOAJ |
| description |
Introduction
Critical Care is a specialty in medicine providing a service for severely ill and high-risk patients who, due to the nature of their condition, may require long periods recovering after discharge. Consequently, focus on the routine data collection carried out in Intensive Care Units (ICUs) leads to reporting that is confined to the critical care episode and is typically insensitive to variation in individual patient pathways through critical care to recovery.
A resource which facilitates efficient research into interactions with healthcare services surrounding critical admissions, capturing the complete patient's healthcare trajectory from primary care to non-acute hospital care prior to ICU, would provide an important longer-term perspective for critical care research.
Objective
To describe and apply a reproducible methodology that demonstrates how both routine administrative and clinically rich critical care data sources can be integrated with primary and secondary healthcare data to create a single dataset that captures a broader view of patient care.
Method
To demonstrate the INTEGRATE methodology, it was applied to routine administrative and clinical healthcare data sources in the Secure Anonymised Data Linking (SAIL) Databank to create a dataset of patients' complete healthcare trajectory prior to critical care admission. SAIL is a national, data safe haven of anonymised linkable datasets about the population of Wales.
Results
When applying the INTEGRATE methodology in SAIL, between 2010 and 2019 we observed 91,582 critical admissions for 76,019 patients. Of these, 90,632 (99%) had an associated non-acute hospital admission, 48,979 (53%) had
an emergency admission, and 64,832 (71%) a primary care interaction in the week prior to the critical care admission.
Conclusion
This methodology, at population scale, integrates two critical care data sources into a single dataset together with data sources on healthcare prior to critical admission, thus providing a key research asset to study critical care pathways.
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| first_indexed | 2024-03-09T08:49:33Z |
| format | Article |
| id | doaj.art-00797dc2a17c4de389d7c3e9cd566808 |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T08:49:33Z |
| publishDate | 2022-07-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-00797dc2a17c4de389d7c3e9cd5668082023-12-02T14:29:32ZengSwansea UniversityInternational Journal of Population Data Science2399-49082022-07-017110.23889/ijpds.v7i1.1724INTEGRATE: A methodology to facilitate critical care research using multiple, linked electronic health records at population scale.Rowena Griffiths0Laura Herbert1Ashley Akbari2Rowena Bailey3Joe Hollinghurst4Richard Pugh5Tamas Szakmany6Fatemeh Torabi7Ronan A Lyons8Population Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UKPopulation Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UKPopulation Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UKPopulation Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UKPopulation Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UKDepartment of Anaesthetics, Glan Clwyd Hospital, Betsi Cadwaladr University Health Board, Rhyl, UKDepartment of Anaesthesia, Intensive Care and Pain Medicine, Division of Population Medicine, Cardiff University, Cardiff, UK; Critical Care Directorate, Royal Gwent Hospital, Aneurin Bevan University Health Board, Newport, UKPopulation Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UKPopulation Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Wales, UK Introduction Critical Care is a specialty in medicine providing a service for severely ill and high-risk patients who, due to the nature of their condition, may require long periods recovering after discharge. Consequently, focus on the routine data collection carried out in Intensive Care Units (ICUs) leads to reporting that is confined to the critical care episode and is typically insensitive to variation in individual patient pathways through critical care to recovery. A resource which facilitates efficient research into interactions with healthcare services surrounding critical admissions, capturing the complete patient's healthcare trajectory from primary care to non-acute hospital care prior to ICU, would provide an important longer-term perspective for critical care research. Objective To describe and apply a reproducible methodology that demonstrates how both routine administrative and clinically rich critical care data sources can be integrated with primary and secondary healthcare data to create a single dataset that captures a broader view of patient care. Method To demonstrate the INTEGRATE methodology, it was applied to routine administrative and clinical healthcare data sources in the Secure Anonymised Data Linking (SAIL) Databank to create a dataset of patients' complete healthcare trajectory prior to critical care admission. SAIL is a national, data safe haven of anonymised linkable datasets about the population of Wales. Results When applying the INTEGRATE methodology in SAIL, between 2010 and 2019 we observed 91,582 critical admissions for 76,019 patients. Of these, 90,632 (99%) had an associated non-acute hospital admission, 48,979 (53%) had an emergency admission, and 64,832 (71%) a primary care interaction in the week prior to the critical care admission. Conclusion This methodology, at population scale, integrates two critical care data sources into a single dataset together with data sources on healthcare prior to critical admission, thus providing a key research asset to study critical care pathways. https://ijpds.org/article/view/1724Intensive careCritical careelectronic health recordslinkable research dataICNARC |
| spellingShingle | Rowena Griffiths Laura Herbert Ashley Akbari Rowena Bailey Joe Hollinghurst Richard Pugh Tamas Szakmany Fatemeh Torabi Ronan A Lyons INTEGRATE: A methodology to facilitate critical care research using multiple, linked electronic health records at population scale. International Journal of Population Data Science Intensive care Critical care electronic health records linkable research data ICNARC |
| title | INTEGRATE: A methodology to facilitate critical care research using multiple, linked electronic health records at population scale. |
| title_full | INTEGRATE: A methodology to facilitate critical care research using multiple, linked electronic health records at population scale. |
| title_fullStr | INTEGRATE: A methodology to facilitate critical care research using multiple, linked electronic health records at population scale. |
| title_full_unstemmed | INTEGRATE: A methodology to facilitate critical care research using multiple, linked electronic health records at population scale. |
| title_short | INTEGRATE: A methodology to facilitate critical care research using multiple, linked electronic health records at population scale. |
| title_sort | integrate a methodology to facilitate critical care research using multiple linked electronic health records at population scale |
| topic | Intensive care Critical care electronic health records linkable research data ICNARC |
| url | https://ijpds.org/article/view/1724 |
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