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Defining Complex Patient Populations: Implications for Population Size, Composition, Utilization, and Costs

Abstract

Background

Interventions to support patients with complex needs have proliferated in recent years, but the question of how to identify patients with complex needs has received relatively little attention. There are innumerable ways to structure inclusion and exclusion criteria for complex care interventions, and little is known about the implications of choices made in designing patient selection criteria.

Objective

To provide insights into the design of patient selection criteria for interventions, by implementing criteria sets within a large health plan member population and comparing the characteristics of the resulting complex patient cohorts.

Design

Retrospective observational descriptive study.

Subjects

Patients identified as having complex needs, within the membership population of Kaiser Permanente Southern California, a large, population-based health plan with more than 4 million members. We characterize five commonly used archetypes of complex needs: high-cost patients, patients with multiple chronic conditions, frail elders, emergency department high-utilizers, and inpatient high-utilizers.

Measures

We selected an initial set of criteria for identifying patients in each of the archetypical complex populations, based on available administrative data. We then tested multiple variants of each definition. We compared the resulting patient cohorts using univariate and bivariate descriptive statistics.

Key Results

Overall, 32.7% of the 3,112,797 adults in our population-based sample were selected by at least one of the 25 definitions of complexity we tested. Across definitions the total number of patients identified as complex ranged from 622,560 to 1583 and complex patient cohorts varied widely in demographic characteristics, chronic conditions, healthcare utilization, spending, and survival.

Conclusions

Choice of patient population is critical to the design of complex care programs. Exploratory analyses of population criteria can provide useful information for program planning in the setting of limited resources for interventions. Data such as these should be generated as a key step in program design.

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Acknowledgements

All contributors to this manuscript met the criteria for authorship. The authors wish to thank the leaders of the Kaiser Permanente CORAL Initiative and the Kaiser Permanente Care Management Institute’s Care for Complex Needs Program.

Funding

This project was supported by a grant from Kaiser Permanente’s Garfield Memorial Fund, under its Complex Care Collaboration: Research, Operations and Leadership (CORAL) portfolio.

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Affiliations

Authors

Contributions

All authors have contributed to this manuscript in accordance with ICMJE guidelines for authorship. All authors contributed to the study conception and design. Data collection and analysis were performed by Anna Davis and Aiyu Chen. The first draft of the manuscript was written by Anna Davis, Aiyu Chen, Michael Gould, and Thearis Osuji. Subsequent drafts were edited by Michael Gould and John Chen. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Anna C. Davis PhD, MPH.

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Conflict of Interest

The co-authors have no conflicts of interest to disclose.

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Prior Presentations

An abstract related to this work was selected for oral presentation at the 2020 AcademyHealth Annual Research Meeting; the abstract was published as part of meeting proceedings although the meeting was moved to a virtual format.

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Davis, A.C., Chen, A., Osuji, T.A. et al. Defining Complex Patient Populations: Implications for Population Size, Composition, Utilization, and Costs. J GEN INTERN MED (2021). https://doi.org/10.1007/s11606-021-06815-4

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KEY WORDS

  • high cost
  • high needs
  • criteria
  • specifications
  • population selection criteria
  • population characteristics