Prevalence, characteristics, and patterns of patients with multimorbidity in primary care: a retrospective cohort analysis in Canada.


Journal

The British journal of general practice : the journal of the Royal College of General Practitioners
ISSN: 1478-5242
Titre abrégé: Br J Gen Pract
Pays: England
ID NLM: 9005323

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 27 12 2018
accepted: 21 02 2019
pubmed: 17 7 2019
medline: 15 2 2020
entrez: 17 7 2019
Statut: epublish

Résumé

Multimorbidity is a complex issue in modern medicine and a more nuanced understanding of how this phenomenon occurs over time is needed. To determine the prevalence, characteristics, and patterns of patients living with multimorbidity, specifically the unique combinations (unordered patterns) and unique permutations (ordered patterns) of multimorbidity in primary care. A retrospective cohort analysis of the prospectively collected data from 1990 to 2013 from the Canadian Primary Care Sentinel Surveillance Network electronic medical record database. Adult primary care patients who were aged ≥18 years at their first recorded encounter were followed over time. A list of 20 chronic condition categories was used to detect multimorbidity. Computational analyses were conducted using the Multimorbidity Cluster Analysis Tool to identify all combinations and permutations. Multimorbidity, defined as two or more and three or more chronic conditions, was prevalent among adult primary care patients and most of these patients were aged <65 years. Among female patients with two or more chronic conditions, 6075 combinations and 14 891 permutations were detected. Among male patients with three or more chronic conditions, 4296 combinations and 9716 permutations were detected. While specific patterns were identified, combinations and permutations became increasingly rare as the total number of chronic conditions and patient age increased. This research confirms that multimorbidity is common in primary care and provides empirical evidence that clinical management requires a tailored, patient-centred approach. While the prevalence of multimorbidity was found to increase with increasing patient age, the largest proportion of patients with multimorbidity in this study were aged <65 years.

Sections du résumé

BACKGROUND BACKGROUND
Multimorbidity is a complex issue in modern medicine and a more nuanced understanding of how this phenomenon occurs over time is needed.
AIM OBJECTIVE
To determine the prevalence, characteristics, and patterns of patients living with multimorbidity, specifically the unique combinations (unordered patterns) and unique permutations (ordered patterns) of multimorbidity in primary care.
DESIGN AND SETTING METHODS
A retrospective cohort analysis of the prospectively collected data from 1990 to 2013 from the Canadian Primary Care Sentinel Surveillance Network electronic medical record database.
METHOD METHODS
Adult primary care patients who were aged ≥18 years at their first recorded encounter were followed over time. A list of 20 chronic condition categories was used to detect multimorbidity. Computational analyses were conducted using the Multimorbidity Cluster Analysis Tool to identify all combinations and permutations.
RESULTS RESULTS
Multimorbidity, defined as two or more and three or more chronic conditions, was prevalent among adult primary care patients and most of these patients were aged <65 years. Among female patients with two or more chronic conditions, 6075 combinations and 14 891 permutations were detected. Among male patients with three or more chronic conditions, 4296 combinations and 9716 permutations were detected. While specific patterns were identified, combinations and permutations became increasingly rare as the total number of chronic conditions and patient age increased.
CONCLUSION CONCLUSIONS
This research confirms that multimorbidity is common in primary care and provides empirical evidence that clinical management requires a tailored, patient-centred approach. While the prevalence of multimorbidity was found to increase with increasing patient age, the largest proportion of patients with multimorbidity in this study were aged <65 years.

Identifiants

pubmed: 31308002
pii: bjgp19X704657
doi: 10.3399/bjgp19X704657
pmc: PMC6715467
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e647-e656

Informations de copyright

© British Journal of General Practice 2019.

Références

J Clin Epidemiol. 1999 Mar;52(3):171-9
pubmed: 10210233
J Clin Epidemiol. 2001 Jul;54(7):661-74
pubmed: 11438406
BMJ. 2003 May 17;326(7398):1070
pubmed: 12750210
Chronic Dis Can. 2004 Winter;25(1):13-21
pubmed: 15298484
Health Qual Life Outcomes. 2004 Sep 07;2:47
pubmed: 15353000
N Engl J Med. 2004 Dec 30;351(27):2870-4
pubmed: 15625341
JAMA. 2005 Aug 10;294(6):716-24
pubmed: 16091574
Health Qual Life Outcomes. 2005 Nov 23;3:74
pubmed: 16305743
Br J Gen Pract. 2007 Apr;57(537):268-70
pubmed: 17394728
Health Qual Life Outcomes. 2007 Aug 06;5:52
pubmed: 17683600
Int J Med Inform. 2008 May;77(5):291-304
pubmed: 17951106
J Gen Intern Med. 2007 Dec;22 Suppl 3:391-5
pubmed: 18026807
Med J Aust. 2008 Jul 21;189(2):72-7
pubmed: 18637770
Eur J Gen Pract. 2008;14 Suppl 1:28-32
pubmed: 18949641
BMC Public Health. 2010 Nov 22;10:718
pubmed: 21092218
Br J Gen Pract. 2011 Jan;61(582):e12-21
pubmed: 21401985
Can Fam Physician. 2011 Oct;57(10):1219-20
pubmed: 21998241
Br J Gen Pract. 2012 Apr;62(597):e297-307
pubmed: 22520918
Lancet. 2012 Jul 7;380(9836):37-43
pubmed: 22579043
Qual Life Res. 2013 May;22(4):791-9
pubmed: 22684529
Br J Gen Pract. 2012 Dec;62(605):e821-6
pubmed: 23211262
J Clin Epidemiol. 2013 Feb;66(2):209-17
pubmed: 23257152
PLoS One. 2013 Jul 23;8(7):e67494
pubmed: 23935834
J Am Board Fam Med. 2013 Sep-Oct;26(5):518-24
pubmed: 24004703
J Gen Intern Med. 2014 Mar;29(3):529-37
pubmed: 24081443
J Clin Epidemiol. 2014 Mar;67(3):254-66
pubmed: 24472295
PLoS One. 2014 Feb 25;9(2):e89447
pubmed: 24586786
Can Fam Physician. 2014 May;60(5):e272-80
pubmed: 24829022
Healthc Policy. 2014 May;9(4):73-89
pubmed: 24973485
BMJ Open. 2014 Jul 11;4(7):e004694
pubmed: 25015470
PLoS One. 2014 Jul 21;9(7):e102149
pubmed: 25048354
J Clin Epidemiol. 2014 Oct;67(10):1163-71
pubmed: 25063556
Healthc Policy. 2014;10(1):46-59
pubmed: 25410695
PLoS One. 2015 Aug 28;10(8):e0135947
pubmed: 26317435
J Gerontol A Biol Sci Med Sci. 2016 Feb;71(2):205-14
pubmed: 26419978
BMC Fam Pract. 2015 Oct 14;16:129
pubmed: 26462820
Health Qual Life Outcomes. 2015 Oct 15;13:168
pubmed: 26467295
BMC Health Serv Res. 2016 Apr 27;16:154
pubmed: 27122051
CMAJ Open. 2016 Jan 25;4(1):E28-32
pubmed: 27331051
PLoS One. 2016 Aug 02;11(8):e0160264
pubmed: 27482903
Arch Gerontol Geriatr. 2016 Nov-Dec;67:130-8
pubmed: 27500661
BMC Geriatr. 2016 Oct 26;16(1):177
pubmed: 27784289
Int J Epidemiol. 2017 Aug 1;46(4):1091-1092f
pubmed: 28338877
CMAJ Open. 2017 May 9;5(2):E365-E372
pubmed: 28487349
PLoS One. 2017 Jun 23;12(6):e0179916
pubmed: 28644877
J Glob Health. 2017 Jun;7(1):010414
pubmed: 28685036
J Gerontol A Biol Sci Med Sci. 2018 Sep 11;73(10):1350-1356
pubmed: 28957993
J Comorb. 2011 Dec 27;1:4-7
pubmed: 29090130
J Comorb. 2015 Dec 22;5:150-161
pubmed: 29090163
J Comorb. 2016 Mar 24;6(2):42-45
pubmed: 29090171
PLoS One. 2018 Jan 3;13(1):e0189091
pubmed: 29298301
J Innov Health Inform. 2017 Dec 13;24(4):962
pubmed: 29334352
J Comorb. 2017 Nov 9;7(1):117-123
pubmed: 29354597
Ann Fam Med. 2018 Jul;16(4):322-329
pubmed: 29987080
Int J Equity Health. 2018 Jul 16;17(1):103
pubmed: 30012163
Can J Public Health. 2018 Dec;109(5-6):845-854
pubmed: 30022403
J Clin Epidemiol. 1998 May;51(5):367-75
pubmed: 9619963

Auteurs

Kathryn Nicholson (K)

Department of Epidemiology and Biostatistics, Centre for Studies in Family Medicine.

Amanda L Terry (AL)

Department of Family Medicine, Interfaculty Program in Public Health, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.

Martin Fortin (M)

Department of Family Medicine and Emergency Medicine, University of Sherbrooke, Integrated University Health and Social Services Centre, Chicoutimi Hospital, Chicoutimi, Québec, Canada.

Tyler Williamson (T)

Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Health Sciences Centre, Calgary, Alberta, Canada.

Michael Bauer (M)

Department of Computer Science, Western University, London, Ontario, Canada.

Amardeep Thind (A)

Department of Family Medicine, Interfaculty Program in Public Health, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH