Network analyses to explore multimorbidity among older adults with dementia residing in personal care homes and the community

dc.contributor.authorQuan, Samuel
dc.contributor.examiningcommitteeTurgeon, Max (Statistics)en_US
dc.contributor.examiningcommitteeDoupe, Malcolm (Community Health Sciences)en_US
dc.contributor.examiningcommitteeSt. John, Philip (Internal Medicine)en_US
dc.contributor.supervisorLix, Lisa
dc.date.accessioned2023-05-10T13:28:29Z
dc.date.available2023-05-10T13:28:29Z
dc.date.copyright2023-05-09
dc.date.issued2023-05-09
dc.date.submitted2023-05-10T01:53:28Zen_US
dc.degree.disciplineCommunity Health Sciencesen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractBackground: Dementia is a progressive chronic health condition that affects an individual’s cognition and functional status. Multimorbidity, the co-occurrence of multiple chronic health conditions, is common among persons with dementia. Network analyses can describe complex profiles of chronic health conditions through graphical displays grounded in empirical data. Research Objective: Our study compares the number of chronic health conditions and patterns of multimorbidity among persons with dementia residing in personal-care homes (PCH) and outside of PCH settings. Methods: Population-based administrative data, including outpatient claims, inpatient records, pharmaceuticals, and long-term care records were obtained from the Manitoba Population Research Data Repository. This retrospective cohort consisted of persons with dementia, ages ≥67 years, who resided in Manitoba from 2015-2020. A total of 138 chronic health conditions were ascertained using a modified version of listed conditions within the Clinical Classification Software. Networks, consisting of nodes (chronic health conditions) connected by edges (cosine index, which quantifies the strength of association between pairs of chronic health conditions), were stratified by residence location (in PCH versus outside PCH). Network properties, such as: number of associations per disease (degree) and network connectivity (density), were reported. A community detection algorithm identified community clusters and calculated associations within versus between community clusters (modularity). Results: Of 19,672 persons with dementia in Manitoba, 9,609 (49%) resided in PCH. The median number of co-occurring chronic health conditions was similar among persons with dementia in PCH (median: 6, Q1-Q3: 3-10) versus outside PCH (median: 7, Q1-Q3: 4-10). Networks properties were similar for persons with dementia in PCH versus outside PCH: median degree (11 versus 12), network density (0.15 versus 0.14), and modularity (0.18 versus 0.26). Conclusions: Multimorbidity is commonly present among persons with dementia. Similar numbers and patterns of chronic health conditions were witnessed among persons with dementia residing in versus outside PCH. Unique visual and analytic techniques demonstrate that chronic health conditions among persons with dementia are often interconnected and do not form easily distinguishable patterns. These results suggest the need for comprehensive and individualized approaches for disease management among persons with dementia in all settings.en_US
dc.description.noteOctober 2023en_US
dc.description.sponsorshipThe Deer Lodge Centre Foundation also provided research funding for this project. The University of Manitoba, the Canadian Geriatrics Society (CGS), and CIHR – Institute of Aging (through the CGS Travel Award), also contributed to conference attendance costs.en_US
dc.identifier.urihttp://hdl.handle.net/1993/37341
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectdementiaen_US
dc.subjectmultimorbidityen_US
dc.subjectnetwork analysisen_US
dc.subjectadministrative dataen_US
dc.titleNetwork analyses to explore multimorbidity among older adults with dementia residing in personal care homes and the communityen_US
dc.typemaster thesisen_US
local.subject.manitobayesen_US
oaire.awardNumber143293en_US
oaire.awardTitleFoundation Granten_US
oaire.awardURIhttps://webapps.cihr-irsc.gc.ca/funding/detail_e?pResearchId=9752230&p_version=CIHR&p_language=E&p_session_id=4759411en_US
project.funder.identifierhttps://doi.org/10.13039/501100000024en_US
project.funder.nameCanadian Institutes of Health Researchen_US
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