Literature DB >> 27485728

What health plans do people prefer? The trade-off between premium and provider choice.

Domino Determann1, Mattijs S Lambooij2, Esther W de Bekker-Grob3, Arthur P Hayen4, Marco Varkevisser5, Frederik T Schut5, G Ardine de Wit6.   

Abstract

Within a healthcare system with managed competition, health insurers are expected to act as prudent buyers of care on behalf of their customers. To fulfil this role adequately, understanding consumer preferences for health plan characteristics is of vital importance. Little is known, however, about these preferences and how they vary across consumers. Using a discrete choice experiment (DCE) we quantified trade-offs between basic health plan characteristics and analysed whether there are differences in preferences according to age, health status and income. We selected four health plan characteristics to be included in the DCE: (i) the level of provider choice and associated level of reimbursement, (ii) the primary focus of provider contracting (price, quality, social responsibility), (iii) the level of service benefits, and (iv) the monthly premium. This selection was based on a literature study, expert interviews and focus group discussions. The DCE consisted of 17 choice sets, each comprising two hypothetical health plan alternatives. A representative sample (n = 533) of the Dutch adult population, based on age, gender and educational level, completed the online questionnaire during the annual open enrolment period for 2015. The final model with four latent classes showed that being able to choose a care provider freely was by far the most decisive characteristic for respondents aged over 45, those with chronic conditions, and those with a gross income over €3000/month. Monthly premium was the most important choice determinant for young, healthy, and lower income respondents. We conclude that it would be very unlikely for half of the sample to opt for health plans with restricted provider choice. However, a premium discount up to €15/month by restricted health plans might motivate especially younger, healthier, and less wealthy consumers to choose these plans.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Discrete choice experiment (DCE); Free provider choice; Health plan choice; Latent class analysis; Managed competition; Stated preferences; The Netherlands; Willingness-to-pay (WTP)

Mesh:

Year:  2016        PMID: 27485728     DOI: 10.1016/j.socscimed.2016.07.022

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  8 in total

1.  Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review.

Authors:  Mo Zhou; Winter Maxwell Thayer; John F P Bridges
Journal:  Pharmacoeconomics       Date:  2018-02       Impact factor: 4.981

2.  The healthcare buffet: preferences in the clinical decision-making process for patients with musculoskeletal pain.

Authors:  Joel E Bialosky; Josh A Cleland; Paul Mintken; Jason M Beneciuk; Mark D Bishop
Journal:  J Man Manip Ther       Date:  2021-10-17

3.  How Do Type 2 Diabetes Patients Value Urban Integrated Primary Care in China? Results of a Discrete Choice Experiment.

Authors:  Xin Wang; Kuimeng Song; Paiyi Zhu; Pim Valentijn; Yixiang Huang; Stephen Birch
Journal:  Int J Environ Res Public Health       Date:  2019-12-23       Impact factor: 3.390

4.  Optimizing the Practice Environment for Medical Staff in the Post-pandemic Era: A Discrete Choice Experiment.

Authors:  Peilin Wu; Zhenjing Li; Wei Guo; Li Wang; Xiangxiang Chang; Yanqun Zhang; Li Wang; Lidan Wang; Qunying Liu
Journal:  Front Public Health       Date:  2022-07-18

5.  Preferences for private health insurance in China: A discrete choice experiment.

Authors:  Nuo Chen; Jing Bai; Stephen Nicholas; Elizabeth Maitland; Jialong Tan; Jian Wang
Journal:  Front Public Health       Date:  2022-09-06

6.  Financial incentives to discontinue long-term benzodiazepine use: a discrete choice experiment investigating patient preferences and willingness to participate.

Authors:  Joachim Marti; Marcus Bachhuber; Jordyn Feingold; David Meads; Michael Richards; Sean Hennessy
Journal:  BMJ Open       Date:  2017-10-06       Impact factor: 2.692

7.  Utilization Intention of Community Pharmacy Service under the Dual Threats of Air Pollution and COVID-19 Epidemic: Moderating Effects of Knowledge and Attitude toward COVID-19.

Authors:  Yueen-Mei Deng; Hong-Wei Wu; Hung-En Liao
Journal:  Int J Environ Res Public Health       Date:  2022-03-21       Impact factor: 3.390

Review 8.  Patient and Public Preferences for Coordinated Care in Switzerland: Development of a Discrete Choice Experiment.

Authors:  Anna Nicolet; Clémence Perraudin; Joël Wagner; Ingrid Gilles; Nicolas Krucien; Isabelle Peytremann-Bridevaux; Joachim Marti
Journal:  Patient       Date:  2022-01-24       Impact factor: 3.481

  8 in total

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