Literature DB >> 33705429

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

Edward Chau1, Laura C Rosella1,2,3,4, Luke Mondor4, Walter P Wodchis1,2,3,4.   

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.

Entities:  

Year:  2021        PMID: 33705429      PMCID: PMC7951913          DOI: 10.1371/journal.pone.0245193

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  59 in total

1.  Relational and management continuity survey in patients with multiple long-term conditions.

Authors:  Martin Gulliford; Luke Cowie; Myfanwy Morgan
Journal:  J Health Serv Res Policy       Date:  2010-06-30

2.  A quantitative measure of continuity of care.

Authors:  T W Bice; S B Boxerman
Journal:  Med Care       Date:  1977-04       Impact factor: 2.983

Review 3.  A prospective cohort study found that provider and information continuity was low after patient discharge from hospital.

Authors:  Carl van Walraven; Monica Taljaard; Chaim M Bell; Edward Etchells; Ian G Stiell; Kelly Zarnke; Alan J Forster
Journal:  J Clin Epidemiol       Date:  2010-09       Impact factor: 6.437

4.  Identifying individuals with physcian diagnosed COPD in health administrative databases.

Authors:  A S Gershon; C Wang; J Guan; J Vasilevska-Ristovska; L Cicutto; T To
Journal:  COPD       Date:  2009-10       Impact factor: 2.409

5.  Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study.

Authors:  Karen Barnett; Stewart W Mercer; Michael Norbury; Graham Watt; Sally Wyke; Bruce Guthrie
Journal:  Lancet       Date:  2012-05-10       Impact factor: 79.321

6.  The increasing burden and complexity of multimorbidity.

Authors:  Anna J Koné Pefoyo; Susan E Bronskill; Andrea Gruneir; Andrew Calzavara; Kednapa Thavorn; Yelena Petrosyan; Colleen J Maxwell; YuQing Bai; Walter P Wodchis
Journal:  BMC Public Health       Date:  2015-04-23       Impact factor: 3.295

7.  Introduction to the Analysis of Survival Data in the Presence of Competing Risks.

Authors:  Peter C Austin; Douglas S Lee; Jason P Fine
Journal:  Circulation       Date:  2016-02-09       Impact factor: 29.690

8.  Continuity of care with doctors-a matter of life and death? A systematic review of continuity of care and mortality.

Authors:  Denis J Pereira Gray; Kate Sidaway-Lee; Eleanor White; Angus Thorne; Philip H Evans
Journal:  BMJ Open       Date:  2018-06-28       Impact factor: 2.692

9.  Multimorbidity of chronic diseases and health care utilization in general practice.

Authors:  Sandra H van Oostrom; H Susan J Picavet; Simone R de Bruin; Irina Stirbu; Joke C Korevaar; Francois G Schellevis; Caroline A Baan
Journal:  BMC Fam Pract       Date:  2014-04-07       Impact factor: 2.497

10.  Incidence and predictors of multimorbidity in the elderly: a population-based longitudinal study.

Authors:  René Melis; Alessandra Marengoni; Sara Angleman; Laura Fratiglioni
Journal:  PLoS One       Date:  2014-07-24       Impact factor: 3.240

View more
  1 in total

1.  Continuity of GP care for patients with dementia: impact on prescribing and the health of patients.

Authors:  João Delgado; Philip H Evans; Denis Pereira Gray; Kate Sidaway-Lee; Louise Allan; Linda Clare; Clive Ballard; Jane Masoli; Jose M Valderas; David Melzer
Journal:  Br J Gen Pract       Date:  2022-01-27       Impact factor: 5.386

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.