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Linking electronic mental healthcare and benefits records in South London: design, procedure and descriptive outcomes
OBJECTIVES: To describe the process and outcomes of a data linkage between electronic secondary mental healthcare records from the South London and Maudsley (SLaM) NHS Foundation Trust with benefits records from the Department for Work and Pensions (DWP). We also describe the mental health and benef...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950921/ https://www.ncbi.nlm.nih.gov/pubmed/36792321 http://dx.doi.org/10.1136/bmjopen-2022-067136 |
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author | Stevelink, Sharon A M Phillips, Ava Broadbent, Matthew Boyd, Andy Dorrington, Sarah Jewell, Amelia Leal, Ray Bakolis, Ioannis Madan, Ira Hotopf, Matthew Fear, Nicola T Downs, Johnny |
author_facet | Stevelink, Sharon A M Phillips, Ava Broadbent, Matthew Boyd, Andy Dorrington, Sarah Jewell, Amelia Leal, Ray Bakolis, Ioannis Madan, Ira Hotopf, Matthew Fear, Nicola T Downs, Johnny |
author_sort | Stevelink, Sharon A M |
collection | PubMed |
description | OBJECTIVES: To describe the process and outcomes of a data linkage between electronic secondary mental healthcare records from the South London and Maudsley (SLaM) NHS Foundation Trust with benefits records from the Department for Work and Pensions (DWP). We also describe the mental health and benefit profile of patients who were successfully linked. DESIGN: A deterministic linkage of routine records from health and welfare government service providers within a secure environment. SETTING AND PARTICIPANTS: Adults aged≥18 years who were referred to or accessed treatment at SLaM services between January 2007 and June 2019, including those who were treated as part of Improving Access to Psychological Therapies (IAPT) services between January 2008 and June 2019 (n=448 404). Benefits data from the DWP from January 2005 to June 2020. OUTCOME MEASURES: The linkage rate and associated sociodemographic, diagnostic and treatment factors. Recorded primary psychiatric diagnosis based on International Classification of Diseases (ICD)-10 codes and type of benefit receipt. RESULTS: A linkage rate of 92.3% was achieved. Women, younger patients and those from ethnic minority groups were less likely to be successfully linked. Patients who had subsequently died, had a recorded primary psychiatric diagnosis, had also engaged with IAPT and had a higher number of historical postcodes available were more likely to be linked. Overall, 83% of patients received benefits at some point between 2005 and 2020. Benefit receipt across the psychiatric diagnosis spectrum was high, over 80% across most ICD-10 codes. CONCLUSIONS: This data linkage is the first of its kind in the UK demonstrating the use of routinely collected mental health and benefits data. Benefit receipt was high among patients accessing SLaM services and varied by psychiatric diagnosis. Future areas of research are discussed, including exploring the effectiveness of interventions for helping people into work and the impact of benefit reforms. |
format | Online Article Text |
id | pubmed-9950921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-99509212023-02-25 Linking electronic mental healthcare and benefits records in South London: design, procedure and descriptive outcomes Stevelink, Sharon A M Phillips, Ava Broadbent, Matthew Boyd, Andy Dorrington, Sarah Jewell, Amelia Leal, Ray Bakolis, Ioannis Madan, Ira Hotopf, Matthew Fear, Nicola T Downs, Johnny BMJ Open Epidemiology OBJECTIVES: To describe the process and outcomes of a data linkage between electronic secondary mental healthcare records from the South London and Maudsley (SLaM) NHS Foundation Trust with benefits records from the Department for Work and Pensions (DWP). We also describe the mental health and benefit profile of patients who were successfully linked. DESIGN: A deterministic linkage of routine records from health and welfare government service providers within a secure environment. SETTING AND PARTICIPANTS: Adults aged≥18 years who were referred to or accessed treatment at SLaM services between January 2007 and June 2019, including those who were treated as part of Improving Access to Psychological Therapies (IAPT) services between January 2008 and June 2019 (n=448 404). Benefits data from the DWP from January 2005 to June 2020. OUTCOME MEASURES: The linkage rate and associated sociodemographic, diagnostic and treatment factors. Recorded primary psychiatric diagnosis based on International Classification of Diseases (ICD)-10 codes and type of benefit receipt. RESULTS: A linkage rate of 92.3% was achieved. Women, younger patients and those from ethnic minority groups were less likely to be successfully linked. Patients who had subsequently died, had a recorded primary psychiatric diagnosis, had also engaged with IAPT and had a higher number of historical postcodes available were more likely to be linked. Overall, 83% of patients received benefits at some point between 2005 and 2020. Benefit receipt across the psychiatric diagnosis spectrum was high, over 80% across most ICD-10 codes. CONCLUSIONS: This data linkage is the first of its kind in the UK demonstrating the use of routinely collected mental health and benefits data. Benefit receipt was high among patients accessing SLaM services and varied by psychiatric diagnosis. Future areas of research are discussed, including exploring the effectiveness of interventions for helping people into work and the impact of benefit reforms. BMJ Publishing Group 2023-02-14 /pmc/articles/PMC9950921/ /pubmed/36792321 http://dx.doi.org/10.1136/bmjopen-2022-067136 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Epidemiology Stevelink, Sharon A M Phillips, Ava Broadbent, Matthew Boyd, Andy Dorrington, Sarah Jewell, Amelia Leal, Ray Bakolis, Ioannis Madan, Ira Hotopf, Matthew Fear, Nicola T Downs, Johnny Linking electronic mental healthcare and benefits records in South London: design, procedure and descriptive outcomes |
title | Linking electronic mental healthcare and benefits records in South London: design, procedure and descriptive outcomes |
title_full | Linking electronic mental healthcare and benefits records in South London: design, procedure and descriptive outcomes |
title_fullStr | Linking electronic mental healthcare and benefits records in South London: design, procedure and descriptive outcomes |
title_full_unstemmed | Linking electronic mental healthcare and benefits records in South London: design, procedure and descriptive outcomes |
title_short | Linking electronic mental healthcare and benefits records in South London: design, procedure and descriptive outcomes |
title_sort | linking electronic mental healthcare and benefits records in south london: design, procedure and descriptive outcomes |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950921/ https://www.ncbi.nlm.nih.gov/pubmed/36792321 http://dx.doi.org/10.1136/bmjopen-2022-067136 |
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