Does Continuity of Care Matter in a Universally Insured Population?
Open accessAbstract
Objective.To examine the relation between continuity of care and preventive health care and emergency department (ED) use in a universal health care system. Data Sources/Study Setting.Administrative data that capture health care use of the entire population of a midwestern Canadian city. Study Design.A population‐based, retrospective study of all individuals who had a least one physician contact in 1998 or 1999 (total N=536,893). Methods.Logistic regressions were conducted to examine the relation between continuity of care, defined in terms of the proportion of total visits to family physicians (FPs) made to the same FP, and cervical cancer screening, breast cancer screening, influenza vaccination, pneumococcal vaccination, and ED visits, controlling for demographic variables, socioeconomic status (defined in terms of relative affluence of neighborhood of residence), and health status. Principal Findings.Continuity of care was related to better preventive health care and reduced ED use. A consistent socioeconomic gradient also emerged. For instance, the odds of having a mammogram was double for individuals living in the wealthiest neighborhoods, relative to those in the poorest neighborhoods (adjusted odds ratio=2.31, 99 percent CI 2.13–2.50). Conclusions.Having a long‐term relationship with a single physician makes a difference even in a universal health care system. Moreover, socioeconomic disparities remain, suggesting the need to target specifically individuals from lower socioeconomic strata for preventive health care.
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Increased continuity of care, particularly with a family physician, is associated with decreased hospitalizations, fewer emergency visits, more preventive care, improved patient satisfaction, safer prescribing, lower rates of major adverse events and reduced mortality.
“In addition, increased continuity of care, particularly with a family physician, is associated with decreased hospitalizations, fewer emergency visits, more preventive care, improved patient satisfaction, safer prescribing, lower rates of major adverse events and reduced mortality [11–17].”
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Predictors of relational continuity in primary care: patient, provider and practice factors
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- Authors
- Menec, V. H., Sirski, M., & Attawar, D.
- Affiliations
- University of Manitoba (CA)
- Corresponding author
- Menec, Verena H.
- ORCID
- Menec, Verena H.
- Venue
- Health Services Research
- Publisher
- Wiley
- Published
- 2005-03-10
- Volume
- 40
- Issue
- 2
- Pages
- 389-400
- ISSN
- 0017-9124 (ISSN-L)
- 1475-6773
- PMC
- PMC1361147
- OpenAlex
- W3048754223
- Cited by
- 110
- References
- 29
- Citations by year
- 2026: 1 · 2025: 3 · 2023: 2 · 2022: 8 · 2021: 1 · 2020: 4 · 2019: 2 · 2018: 5 · 2017: 7 · 2016: 5 · 2015: 6 · 2014: 8 · 2013: 7 · 2012: 7
- FWCI
- 16.14
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Health Services Research (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- PubMed
- Funders
- Canadian Institutes of Health Research
- Topics
- Health Sciences › Health Professions › General Health Professions › Primary Care and Health Outcomes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Keywords
- continuity of care, universal health care, preventive medicine, emergency department utilization, general practitioners, cervical cancer screening, breast cancer screening, influenza vaccination, pneumococcal vaccination, socioeconomic disparities, neighborhood affluence, physician-patient relationship
- MeSH terms
- Adult, Aged, Continuity of Patient Care, Emergency Service, Hospital, Family Practice, Female, Health Services Accessibility, Health Services Research, Humans, Male, Manitoba, Middle Aged, National Health Programs, Poverty Areas, Preventive Health Services, Professional-Patient Relations, Residence Characteristics, Retrospective Studies, Socioeconomic Factors, Urban Health, Confidence Intervals, Logistic Models, Odds Ratio
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