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. 2021 Mar 11;16(3):e0245193.
doi: 10.1371/journal.pone.0245193. eCollection 2021.

Association between continuity of care and subsequent diagnosis of multimorbidity in Ontario, Canada from 2001-2015: A retrospective cohort study

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Association between continuity of care and subsequent diagnosis of multimorbidity in Ontario, Canada from 2001-2015: A retrospective cohort study

Edward Chau et al. PLoS One. .

Abstract

Background: Continuity of care is a well-recognized principle of the primary care discipline owing to its medical, interpersonal, and cost-saving benefits. Relationship continuity or the ongoing therapeutic relationship between a patient and their physician is a particularly desirable goal, but its role in preventing the accumulation of chronic conditions diagnoses in individuals is unknown. The objective of this study was to investigate the effect of continuity of care with physicians on the rate of incident multimorbidity diagnoses in patients with existing conditions.

Methods: This was a population-based, retrospective cohort study from 2001 to 2015 that focused on patients aged 18 to 105 years with at least one chronic condition (n = 166,665). Our primary exposure was relationship continuity of care with general practitioners and specialists measured using the Bice-Boxerman Continuity of Care Index (COCI). COCI was specified as a time-dependent exposure prior to the observation period. Our outcomes of interest were the time to diagnosis of a second, third, and fourth chronic condition estimated using cause-specific hazard regressions accounting for death as a competing risk.

Findings: We observed that patients with a single chronic condition and high continuity of care (>0.50) were diagnosed with a second chronic condition or multimorbidity at an 8% lower rate compared to individuals with low continuity (cause-specific hazard ratio (HR) 0.92 (95% Confidence Interval 0.90-0.93; p<0.0001) after adjusting for age, sex, income, place of residence, primary care enrolment, and the annual number of physician visits. Continuity remained protective as the degree of multimorbidity increased. Among patients with two conditions, the risk of diagnosis of a third chronic condition was also 8% lower for individuals with high continuity (HR 0.92; CI 0.90-0.94; p<0.0001). Patients with three conditions and high continuity had a 9% lower risk of diagnosis with a fourth condition (HR 0.91; CI 0.89-0.93; p<0.0001).

Conclusions: Continuity of care is a potentially modifiable health system factor that reduces the rate at which diagnoses of chronic conditions are made over time in patients with multimorbidity. Additional research is needed to explain the underlying mechanisms through which continuity is related to a protective effect and the clinical sequalae.

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Conflict of interest statement

All authors have completed the Unified Competing Interest form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: LCR is supported by a Canada Research Chair in Population Health Analytics. LCR and WPW are supported by Research Chairs funded by the Trillium Health Partners Foundation.

Figures

Fig 1
Fig 1. Selection of patients with a minimum of one out of seventeen chronic conditions for entry into the cohort (n = 166,665).

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References

    1. Koné Pefoyo AJ, Bronskill SE, Gruneir A, et al.. The increasing burden and complexity of multimorbidity. BMC Public Health. 2015;15(1):1–11. 10.1186/s12889-015-1733-2 - DOI - PMC - PubMed
    1. Thavorn K, Maxwell CJ, Gruneir A, et al.. Effect of socio-demographic factors on the association between multimorbidity and healthcare costs: a population-based, retrospective cohort study. BMJ Open. 2017;7(10). 10.1136/bmjopen-2017-017264 - DOI - PMC - PubMed
    1. Nunes BP, Flores TR, Mielke GI, Thumé E, Facchini LA. Multimorbidity and mortality in older adults: A systematic review and meta-analysis. Arch Gerontol Geriatr. 2016;67:130–138. 10.1016/j.archger.2016.07.008 - DOI - PubMed
    1. Ryan A, Wallace E, O’Hara P, Smith SM. Multimorbidity and functional decline in community-dwelling adults: a systematic review. Health Qual Life Outcomes. 2015;13:168. 10.1186/s12955-015-0355-9 - DOI - PMC - PubMed
    1. van Oostrom SH, Picavet HSJ, de Bruin SR, et al.. Multimorbidity of chronic diseases and health care utilization in general practice. BMC Fam Pr. 2014;15:1–9. 10.1186/1471-2296-15-61 - DOI - PMC - PubMed

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