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. 2021 Dec;56 Suppl 3(Suppl 3):1302-1316.
doi: 10.1111/1475-6773.13890.

A methodology for identifying high-need, high-cost patient personas for international comparisons

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A methodology for identifying high-need, high-cost patient personas for international comparisons

Jose F Figueroa et al. Health Serv Res. 2021 Dec.

Abstract

Objective: To establish a methodological approach to compare two high-need, high-cost (HNHC) patient personas internationally.

Data sources: Linked individual-level administrative data from the inpatient and outpatient sectors compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) across 11 countries: Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States.

Study design: We outline a methodological approach to identify HNHC patient types for international comparisons that reflect complex, priority populations defined by the National Academy of Medicine. We define two patient profiles using accessible patient-level datasets linked across different domains of care-hospital care, primary care, outpatient specialty care, post-acute rehabilitative care, long-term care, home-health care, and outpatient drugs. The personas include a frail older adult with a hip fracture with subsequent hip replacement and an older person with complex multimorbidity, including heart failure and diabetes. We demonstrate their comparability by examining the characteristics and clinical diagnoses captured across countries.

Data collection/extraction methods: Data collected by ICCONIC partners.

Principal findings: Across 11 countries, the identification of HNHC patient personas was feasible to examine variations in healthcare utilization, spending, and patient outcomes. The ability of countries to examine linked, individual-level data varied, with the Netherlands, Canada, and Germany able to comprehensively examine care across all seven domains, whereas other countries such as England, Switzerland, and New Zealand were more limited. All countries were able to identify a hip fracture persona and a heart failure persona. Patient characteristics were reassuringly similar across countries.

Conclusion: Although there are cross-country differences in the availability and structure of data sources, countries had the ability to effectively identify comparable HNHC personas for international study. This work serves as the methodological paper for six accompanying papers examining differences in spending, utilization, and outcomes for these personas across countries.

Keywords: international comparison; vignettes.

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Figures

FIGURE 1
FIGURE 1
Identification of the high‐need, high‐cost personas across countries. The acute event for the two specific personas included an admission for a hip fracture for the persona with frailty and an admission for a heart failure exacerbation for the persona with complex multimorbidity
FIGURE A1
FIGURE A1
Breakdown of hip fracture diagnoses by country. The data used by the Netherlands did not allow for specific breakdown of individual ICD codes. Clinical experts were used to identify relevant codes for fractures of the upper femur. In Spain, there was a cross‐walk down from ICD‐9 codes to ICD‐10 codes with clinical expert input from the country
FIGURE A2
FIGURE A2
Breakdown of type of procedure by country. Total, total hip replacement; Partial, partial hip replacement

References

    1. French E, Kelly E. Medical spending around the developed world. Fisc Stud. 2016;37(3–4):327‐344. doi:10.1111/j.1475-5890.2016.12127 - DOI - PMC - PubMed
    1. Iversen T, Aas E, Rosenqvist G, Häkkinen U. Comparative analysis of treatment costs in EUROHOPE. Health Econ. 2015;24(S2):5‐22. doi:10.1002/hec.3262 - DOI - PubMed
    1. Hakkinen U, Iversen T, Peltola M, et al. Health care performance comparison using a disease‐based approach: the EuroHOPE project. Health Policy. 2013;112(1–2):100‐109. doi:10.1016/j.healthpol.2013.04.013 - DOI - PubMed
    1. Busse R. Do diagnosis‐related groups explain variations in hospital costs and lengths of stay? Analyses from the EuroDRG project for 10 episodes of care across 10 European countries. Health Econ. 2012;21(S2):1‐5. doi:10.1002/hec.2861 - DOI - PubMed
    1. Busse R, Schreyogg J, Smith PC. Variability in healthcare treatment costs amongst nine EU countries ‐ results from the HealthBASKET project. Health Econ. 2008;17(1 Suppl):S1‐S8. doi:10.1002/hec.1330 - DOI - PubMed

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