Literature DB >> 26014469

Persistent high utilization in a privately insured population.

Wenke Hwang1, Michelle LaClair, Fabian Camacho, Harold Paz.   

Abstract

OBJECTIVES: To describe individuals characterized as persistent high users--that is, individuals who are in the top 10% of users every year over the 3-year study period. STUDY
DESIGN: Retrospective cohort study of 4 groups in a privately insured population. Groups were defined by the number of years an enrollee was in the top 10% of the spending group (top decile) for the period from 2009 to 2011: persistent high-user group (3 out of 3 years in the top decile spending group); frequent high-user group (2 out of 3 years in top decile); incidental high-user group (1 out of 3 years in top decile); and never high user group (0 out of 3 years in top decile).
METHODS: This study used insurance claims data to examine enrollees with persistently high health service utilization. Data for the year 2008 were utilized to assess baseline individual characteristics. Annual data for 2009 to 2011 were used to examine healthcare expenditures, utilization patterns, and specific clinical conditions among the 4 groups of the study sample.
RESULTS: Among 42,038 enrollees, 1216 (2.9%) met the criteria as persistent high users. Over a 3-year period, this group accounted for 21% of total healthcare expenditure. Compared with the other groups, persistent high users had higher overall disease burden due to multiple chronic conditions and incurred significantly higher expenses in medication and professional services (including primary and specialty care).
CONCLUSIONS: This study highlights the need to proactively engage employees and their dependents for primary and secondary prevention of common chronic diseases before an individual's health status, healthcare utilization, and medical cost become difficult to manage.

Entities:  

Mesh:

Year:  2015        PMID: 26014469

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  8 in total

1.  Characteristics and healthcare utilisation patterns of high-cost beneficiaries in the Netherlands: a cross-sectional claims database study.

Authors:  Joost Johan Godert Wammes; Marit Tanke; Wilma Jonkers; Gert P Westert; Philip Van der Wees; Patrick Pt Jeurissen
Journal:  BMJ Open       Date:  2017-11-12       Impact factor: 2.692

2.  Systematic review of high-cost patients' characteristics and healthcare utilisation.

Authors:  Joost Johan Godert Wammes; Philip J van der Wees; Marit A C Tanke; Gert P Westert; Patrick P T Jeurissen
Journal:  BMJ Open       Date:  2018-09-08       Impact factor: 2.692

3.  Retrospective evaluation of healthcare utilisation and mortality of two post-discharge care programmes in Singapore.

Authors:  Ian Yi Han Ang; Chuen Seng Tan; Milawaty Nurjono; Xin Quan Tan; Gerald Choon-Huat Koh; Hubertus Johannes Maria Vrijhoef; Shermin Tan; Shu Ee Ng; Sue-Anne Toh
Journal:  BMJ Open       Date:  2019-05-22       Impact factor: 2.692

4.  Characterising and predicting persistent high-cost utilisers in healthcare: a retrospective cohort study in Singapore.

Authors:  Sheryl Hui Xian Ng; Nabilah Rahman; Ian Yi Han Ang; Srinath Sridharan; Sravan Ramachandran; Debby Dan Wang; Astrid Khoo; Chuen Seng Tan; Mengling Feng; Sue-Anne Ee Shiow Toh; Xin Quan Tan
Journal:  BMJ Open       Date:  2020-01-06       Impact factor: 2.692

5.  Systematic review on the instruments used for measuring the association of the level of multimorbidity and clinically important outcomes.

Authors:  Eng Sing Lee; Hui Li Koh; Elaine Qiao-Ying Ho; Sok Huang Teo; Fang Yan Wong; Bridget L Ryan; Martin Fortin; Moira Stewart
Journal:  BMJ Open       Date:  2021-05-05       Impact factor: 2.692

6.  Assessing the Value of Unsupervised Clustering in Predicting Persistent High Health Care Utilizers: Retrospective Analysis of Insurance Claims Data.

Authors:  Raghav Ramachandran; Michael J McShea; Stephanie N Howson; Howard S Burkom; Hsien-Yen Chang; Jonathan P Weiner; Hadi Kharrazi
Journal:  JMIR Med Inform       Date:  2021-11-25

7.  Right-Site Care Programme with a community-based family medicine clinic in Singapore: secondary data analysis of its impact on mortality and healthcare utilisation.

Authors:  Ian Yi Han Ang; Sheryl Hui-Xian Ng; Nabilah Rahman; Milawaty Nurjono; Tat Yean Tham; Sue-Anne Toh; Hwee Lin Wee
Journal:  BMJ Open       Date:  2019-12-31       Impact factor: 2.692

8.  Improving the Prediction of Persistent High Health Care Utilizers: Retrospective Analysis Using Ensemble Methodology.

Authors:  Stephanie N Howson; Michael J McShea; Raghav Ramachandran; Howard S Burkom; Hsien-Yen Chang; Jonathan P Weiner; Hadi Kharrazi
Journal:  JMIR Med Inform       Date:  2022-03-24
  8 in total

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