Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland.
There is still limited understanding of how chronic conditions co-occur in patients with multimorbidity and what are the consequences for patients and the health care system. Most reported clusters of conditions have not considered the demographic characteristics of these patients during the cluster...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294666&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832589908773961728 |
|---|---|
| author | Adeniyi Francis Fagbamigbe Utkarsh Agrawal Amaya Azcoaga-Lorenzo Briana MacKerron Eda Bilici Özyiğit Daniel C Alexander Ashley Akbari Rhiannon K Owen Jane Lyons Ronan A Lyons Spiros Denaxas Paul Kirk Ana Corina Miller Gill Harper Carol Dezateux Anthony Brookes Sylvia Richardson Krishnarajah Nirantharakumar Bruce Guthrie Lloyd Hughes Umesh T Kadam Kamlesh Khunti Keith R Abrams Colin McCowan |
| author_facet | Adeniyi Francis Fagbamigbe Utkarsh Agrawal Amaya Azcoaga-Lorenzo Briana MacKerron Eda Bilici Özyiğit Daniel C Alexander Ashley Akbari Rhiannon K Owen Jane Lyons Ronan A Lyons Spiros Denaxas Paul Kirk Ana Corina Miller Gill Harper Carol Dezateux Anthony Brookes Sylvia Richardson Krishnarajah Nirantharakumar Bruce Guthrie Lloyd Hughes Umesh T Kadam Kamlesh Khunti Keith R Abrams Colin McCowan |
| author_sort | Adeniyi Francis Fagbamigbe |
| collection | DOAJ |
| description | There is still limited understanding of how chronic conditions co-occur in patients with multimorbidity and what are the consequences for patients and the health care system. Most reported clusters of conditions have not considered the demographic characteristics of these patients during the clustering process. The study used data for all registered patients that were resident in Fife or Tayside, Scotland and aged 25 years or more on 1st January 2000 and who were followed up until 31st December 2018. We used linked demographic information, and secondary care electronic health records from 1st January 2000. Individuals with at least two of the 31 Elixhauser Comorbidity Index conditions were identified as having multimorbidity. Market basket analysis was used to cluster the conditions for the whole population and then repeatedly stratified by age, sex and deprivation. 318,235 individuals were included in the analysis, with 67,728 (21·3%) having multimorbidity. We identified five distinct clusters of conditions in the population with multimorbidity: alcohol misuse, cancer, obesity, renal failure, and heart failure. Clusters of long-term conditions differed by age, sex and socioeconomic deprivation, with some clusters not present for specific strata and others including additional conditions. These findings highlight the importance of considering demographic factors during both clustering analysis and intervention planning for individuals with multiple long-term conditions. By taking these factors into account, the healthcare system may be better equipped to develop tailored interventions that address the needs of complex patients. |
| format | Article |
| id | doaj-art-5cfec33024d346d5b34204c89f22b41a |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-5cfec33024d346d5b34204c89f22b41a2025-01-24T05:31:10ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-011811e029466610.1371/journal.pone.0294666Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland.Adeniyi Francis FagbamigbeUtkarsh AgrawalAmaya Azcoaga-LorenzoBriana MacKerronEda Bilici ÖzyiğitDaniel C AlexanderAshley AkbariRhiannon K OwenJane LyonsRonan A LyonsSpiros DenaxasPaul KirkAna Corina MillerGill HarperCarol DezateuxAnthony BrookesSylvia RichardsonKrishnarajah NirantharakumarBruce GuthrieLloyd HughesUmesh T KadamKamlesh KhuntiKeith R AbramsColin McCowanThere is still limited understanding of how chronic conditions co-occur in patients with multimorbidity and what are the consequences for patients and the health care system. Most reported clusters of conditions have not considered the demographic characteristics of these patients during the clustering process. The study used data for all registered patients that were resident in Fife or Tayside, Scotland and aged 25 years or more on 1st January 2000 and who were followed up until 31st December 2018. We used linked demographic information, and secondary care electronic health records from 1st January 2000. Individuals with at least two of the 31 Elixhauser Comorbidity Index conditions were identified as having multimorbidity. Market basket analysis was used to cluster the conditions for the whole population and then repeatedly stratified by age, sex and deprivation. 318,235 individuals were included in the analysis, with 67,728 (21·3%) having multimorbidity. We identified five distinct clusters of conditions in the population with multimorbidity: alcohol misuse, cancer, obesity, renal failure, and heart failure. Clusters of long-term conditions differed by age, sex and socioeconomic deprivation, with some clusters not present for specific strata and others including additional conditions. These findings highlight the importance of considering demographic factors during both clustering analysis and intervention planning for individuals with multiple long-term conditions. By taking these factors into account, the healthcare system may be better equipped to develop tailored interventions that address the needs of complex patients.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294666&type=printable |
| spellingShingle | Adeniyi Francis Fagbamigbe Utkarsh Agrawal Amaya Azcoaga-Lorenzo Briana MacKerron Eda Bilici Özyiğit Daniel C Alexander Ashley Akbari Rhiannon K Owen Jane Lyons Ronan A Lyons Spiros Denaxas Paul Kirk Ana Corina Miller Gill Harper Carol Dezateux Anthony Brookes Sylvia Richardson Krishnarajah Nirantharakumar Bruce Guthrie Lloyd Hughes Umesh T Kadam Kamlesh Khunti Keith R Abrams Colin McCowan Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland. PLoS ONE |
| title | Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland. |
| title_full | Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland. |
| title_fullStr | Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland. |
| title_full_unstemmed | Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland. |
| title_short | Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland. |
| title_sort | clustering long term health conditions among 67728 people with multimorbidity using electronic health records in scotland |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294666&type=printable |
| work_keys_str_mv | AT adeniyifrancisfagbamigbe clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT utkarshagrawal clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT amayaazcoagalorenzo clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT brianamackerron clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT edabiliciozyigit clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT danielcalexander clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT ashleyakbari clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT rhiannonkowen clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT janelyons clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT ronanalyons clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT spirosdenaxas clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT paulkirk clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT anacorinamiller clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT gillharper clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT caroldezateux clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT anthonybrookes clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT sylviarichardson clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT krishnarajahnirantharakumar clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT bruceguthrie clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT lloydhughes clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT umeshtkadam clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT kamleshkhunti clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT keithrabrams clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland AT colinmccowan clusteringlongtermhealthconditionsamong67728peoplewithmultimorbidityusingelectronichealthrecordsinscotland |