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Measuring continuity in primary care: how it is done and why it matters
Derek Hersch1, Kristen Klemenhagen1, Patricia Adam1
1Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, MN, United States.
Continuity of care (COC) is vital for primary care, improving patient outcomes and satisfaction. Understanding various COC measures is essential for effective quality improvement initiatives.
Area of Science:
- Primary Care Research
- Health Services Research
- Quality Improvement
Background:
- Continuity of care (COC) is a cornerstone of primary care, linked to better patient outcomes, satisfaction, and reduced healthcare costs.
- The patient-physician relationship is highly valued, yet in some settings like residency clinics, patients may see their primary care provider (PCP) less than 50% of the time.
- Numerous benefits of COC for both patients and providers highlight the need for standardized measurement.
Purpose of the Study:
- To address the need for understanding and comparing different measures of continuity of care (COC).
- To guide primary care professionals in selecting the most appropriate COC measure for quality improvement efforts.
- To explore the variations and key distinguishing factors among the at least 32 different COC measures.
Main Methods:
- Review and analysis of existing continuity of care (COC) measurement methodologies.
- Identification of key factors influencing COC measure variations, including data sources (claims, EMRs), purpose (research vs. clinical), perspective (patient vs. provider), and visit characteristics.
- Examination of how PCP identifiability impacts COC measurement formulas.
Main Results:
- At least 32 distinct measures have been employed to assess continuity of care (COC).
- Variations in COC measurement stem from data source limitations, intended use, patient/provider perspectives, and visit patterns.
- Key differentiators among COC formulas include the data source used and the ability to identify a consistent primary care provider (PCP).
Conclusions:
- There is no single "correct" formula for measuring continuity of care (COC).
- A nuanced understanding of COC measurement is crucial for advancing primary care research and clinical quality improvement.
- While imperfect, COC formulas and indices offer a valuable metric for assessing patient-provider interaction consistency.
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