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市場調査レポート
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1080078

世界の各市場における医療保険への消費者のアプローチ:Digital Health Metrics

Digital Health Metrics: Consumer Approaches to Health Insurance in Selected Global Markets

出版日: | 発行: Finaccord | ページ情報: 英文 350 Pages | 納期: 即日から翌営業日

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=135.89円
世界の各市場における医療保険への消費者のアプローチ:Digital Health Metrics
出版日: 2021年12月01日
発行: Finaccord
ページ情報: 英文 350 Pages
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

当レポートでは、世界の各市場における医療保険への消費者のアプローチについて調査し、世界各国の市場別に、健康保険の種類や政策、主要企業に対する消費者意識などの詳細な情報を提供しています。

目次

第1章 エグゼクティブサマリー

第2章 Finaccordについて

第3章 イントロダクション

第4章 概要

  • イントロダクション
  • 健康政策
  • 政策の変更
  • 保険契約者:社会人口統計の内訳
  • 健康保険の種類
  • 健康保険の種類:社会人口統計の内訳
  • 購入ジャーニー
  • オンライン調査、アグリゲーターの役割、購入インターフェース
  • 流通チャネル
  • デジタルサービス
  • 請求
  • ウェアラブルデバイス
  • 健康データを保険企業と共有する意欲
  • データを共有する消費者の意欲:社会人口統計の内訳
  • 健康状態の診断と管理のためのアプリの使用
  • 最も価値のあるデジタルサービスとヘルスケアの種類
  • 評判と信頼
  • COVID-19関連の遅延
  • 満足度
  • 満足と不満の理由
  • Amazon、Apple、Facebook、Google、Microsoft、Samsungに対する消費者意識
  • ハイテクブランドへの信頼:社会人口統計の内訳

第5章 オーストラリア

第6章 ブラジル

第7章 カナダ

第8章 中国

第9章 フランス

第10章 ドイツ

第11章 イタリア

第12章 スペイン

図表

13. UK

  • Introduction
  • Health policies
  • Policy changes
  • Socio-demographic breakdown of policyholders in the UK
  • Types of health insurance
  • Socio-demographic breakdown of types of health insurance
  • Purchase journey
  • Online research, the role of aggregators, and distribution interfaces
  • Distribution channels
  • Cross-tabulation of distribution interfaces and channels used to acquire health insurance
  • Digital services
  • Claims
  • Wearable devices
  • Willingness to share health data with insurers
  • Socio-demographic break-down of consumer willingness to share data
  • Consumer use of lifestyle-based health policies
  • Use of apps for diagnosis and management of health conditions
  • Most valued digital services and healthcare cover type
  • Reputation and trust
  • COVID-19-related delays
  • Levels of satisfaction
  • Reasons for satisfaction and dissatisfaction
  • Consumer attitudes to Amazon, Apple, Facebook, Google, Microsoft and Samsung
  • Socio-demographic breakdown of trust in tech brands

14. US

  • Introduction
  • Health policies
  • Policy changes
  • Socio-demographic breakdown of policyholders in the US
  • Types of health insurance
  • Socio-demographic breakdown of types of health insurance
  • Purchase journey
  • Online research, the role of aggregators, and distribution interfaces
  • Distribution channels
  • Cross-tabulation of distribution interfaces and channels used to acquire health insurance
  • Digital services
  • Claims
  • Wearable devices
  • Willingness to share health data with insurers
  • Socio-demographic break-down of consumer willingness to share data
  • Consumer use of lifestyle-based health policies
  • Use of apps for diagnosis and management of health conditions
  • Most valued digital services and healthcare cover type
  • Reputation and trust
  • COVID-19-related delays
  • Levels of satisfaction
  • Reasons for satisfaction and dissatisfaction
  • Consumer attitudes to Amazon, Apple, Facebook, Google, Microsoft and Samsung
  • Socio-demographic breakdown of trust in tech brands

15. APPENDIX

  • Research sample statistics
  • Research structure

LIST OF GRAPHICS / TABLES

1. EXECUTIVE SUMMARY

2. ABOUT FINACCORD

3. INTRODUCTION

4. OVERVIEW

  • New policies, renewals, and provider switching among respondents in ten countries, 2020
  • Health insurance policy holders in ten countries by gender, age, occupation and income, 2020 (unweighted averages)
  • Types of health insurance policy held by respondents in ten countries, 2020
  • Types of health insurance policy held by respondents in ten countries, 2020 (table)
  • Types of health insurance policy held by respondents in ten countries by gender, age, occupation and income, 2020 (averages)
  • Types of health insurance policy held by respondents in ten countries by gender, age, occupation and income, 2020 (averages) (table)
  • Proportion of respondents who found out about their most recently-acquired health insurance online in ten countries, 2020
  • Use of aggregators for health insurance purchases by respondents in ten countries, 2020
  • Purchase interfaces used by respondents in ten countries, 2020
  • Online purchase interfaces used by respondents in ten countries, 2020
  • Purchase interfaces used by respondents in ten countries, 2020
  • Distribution channels used to acquire health insurance in ten countries, 2020
  • Respondents in ten countries on their willingness to make claims online, 2020
  • Respondents in ten countries who regularly use at least one wearable device, 2020 and 2019
  • Respondents in ten countries on their use and interest in wearable devices, 2020 (averages)
  • Respondents in ten countries on their willingness to share data with insurers about physical wellbeing, 2020
  • Respondents in ten countries on their willingness to share data with insurers about mental wellbeing, 2020
  • Willingness of respondents in ten countries to share data with insurers about their physical and mental wellbeing, segmented by age and income, 2020 (averages)
  • Use of apps to diagnose and manage medical conditions among respondents in ten countries, 2020
  • Providers of apps to diagnose and manage medical conditions in ten countries segmented between employers, healthcare providers, health insurers and other, 2020
  • Respondents in ten countries on the digital services they would value from a health insurance provider, 2020 (average)
  • Respondents in ten countries on the digital services they would value from a health insurance provider, 2020 (top three services)
  • Respondents in ten countries on the digital services they would most value from a health insurance provider, segmented by age and income, 2020 (averages)
  • Respondents in ten countries on the type of healthcare coverage they find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership, 2020
  • Respondents in ten countries on the type of healthcare coverage they find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership; segmented by age and income, 2020 (averages)
  • Respondents in ten countries on their experiences of COVID-19-related delays, 2020
  • Respondents in ten countries on their satisfaction with their health insurer, 2020
  • Reasons why respondents in ten countries were satisfied with their health insurer, 2020 (averages)
  • Reasons why respondents in ten countries were dissatisfied with their health insurer, 2020 (averages)
  • Reasons why respondents in ten countries were satisfied with their health insurer, 2020 (top three reasons)
  • Reasons why respondents in ten countries were dissatisfied with their health insurer, 2020 (top three reasons)
  • Percentage of respondents in nine countries that trust six major tech brands, their employer and their health insurer with personal data, including health data, 2020 (average by company)
  • Percentage of respondents in ten countries that trust six major tech brands with their personal data, including health data, 2020 (average by country)
  • Percentage of respondents in ten countries that trust six major tech brands and their employer more than their health insurer, 2020 (average by country)
  • Percentage of respondents in nine countries that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, 2020 (average by company)
  • Percentage of respondents in ten countries that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, 2020 (average by company) (table)

5. AUSTRALIA

  • Health insurance take-up rate in Australia, segmented between respondents acquiring a new policy, renewing, and switching provider, 2020
  • Health insurance policyholders in Australia by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in Australia, 2020
  • Types of health insurance policy held by respondents in Australia by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in Australia by gender, age, occupation and income, 2020 (table)
  • Online discovery and use of aggregators for health insurance purchases in Australia, 2020
  • Distribution interfaces used to acquire health insurance in Australia, 2020
  • Distribution channels used to acquire health insurance in Australia, 2020
  • Cross-tabulation of distribution channels and interfaces used for health insurance in Australia, 2020
  • Willingness of respondents to make claims online, Australia, 2020
  • Use of wearable devices and interest in them among respondents in Australia, 2020
  • Respondents in Australia who use or are interested in wearable devices, 2019 and 2020
  • Willingness of respondents to share data with insurers about physical and mental wellbeing, Australia, 2020
  • Willingness of respondents to share data with insurers about their physical and mental wellbeing, segmented by age and income, Australia, 2020
  • Use of and interest in health policies rewarding health lifestyle choices in Australia, 2020
  • Use of apps to diagnose and manage medical conditions among respondents in Australia, 2020
  • Providers of diagnosis and management apps segmented between employers, healthcare providers, health insurers and other, Australia, 2020
  • Digital services that respondents would value from a health insurance provider, Australia, 2020
  • Digital services that respondents would value from a health insurance provider, segmented by age and income, Australia, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership, Australia, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership; segmented by age and income, Australia, 2020
  • Experiences of COVID-19-related delays among respondents in Australia, 2020
  • Satisfaction with their health insurer among respondents in Australia, 2020
  • Reasons why respondents in Australia were satisfied with their health insurer, 2020
  • Reasons why respondents in Australia were dissatisfied with their health insurer, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, Australia, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, Australia, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, Australia, 2020 (table)
  • Percentage of respondents that trust their employer or six major tech brands more than their health insurer, Australia, 2020

6. BRAZIL

  • Health insurance take-up rate in Brazil, segmented between respondents acquiring a new policy, renewing, and switching provider, 2020
  • Health insurance policyholders in Brazil by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in Brazil, 2020
  • Types of health insurance policy held by respondents in Brazil by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in Brazil by gender, age, occupation and income, 2020 (table)
  • Online discovery and use of aggregators for health insurance purchases in Brazil, 2020
  • Distribution interfaces used to acquire health insurance in Brazil, 2020
  • Distribution channels used to acquire health insurance in Brazil, 2020
  • Cross-tabulation of distribution channels and interfaces used for health insurance in Brazil, 2020
  • Willingness of respondents to make claims online, Brazil, 2020
  • Use of wearable devices and interest in them among respondents in Brazil, 2020
  • Respondents in Brazil who use or are interested in wearable devices, 2019 and 2020
  • Willingness of respondents to share data with insurers about physical and mental wellbeing, Brazil, 2020
  • Willingness of respondents to share data with insurers about their physical and mental wellbeing, segmented by age and income, Brazil, 2020
  • Use of and interest in health policies rewarding health lifestyle choices in Brazil, 2020
  • Use of apps to diagnose and manage medical conditions among respondents in Brazil, 2020
  • Providers of diagnosis and management apps segmented between employers, healthcare providers, health insurers and other, Brazil, 2020
  • Digital services that respondents would value from a health insurance provider, Brazil, 2020
  • Digital services that respondents would value from a health insurance provider, segmented by age and income, Brazil, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership, Brazil, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership; segmented by age and income, Brazil, 2020
  • Experiences of COVID-19-related delays among respondents in Brazil, 2020
  • Satisfaction with their health insurer among respondents in Brazil, 2020
  • Reasons why respondents in Brazil were satisfied with their health insurer, 2020
  • Reasons why respondents in Brazil were dissatisfied with their health insurer, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, Brazil, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, Brazil, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, Brazil, 2020 (table)
  • Percentage of respondents that trust their employer or six major tech brands more than their health insurer, Brazil, 2020

7. CANADA

  • Health insurance take-up rate in Canada, segmented between respondents acquiring a new policy, renewing, and switching provider, 2020
  • Health insurance policyholders in Canada by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in Canada, 2020
  • Types of health insurance policy held by respondents in Canada by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in Canada by gender, age, occupation and income, 2020 (table)
  • Online discovery and use of aggregators for health insurance purchases in Canada, 2020
  • Distribution interfaces used to acquire health insurance in Canada, 2020
  • Distribution channels used to acquire health insurance in Canada, 2020
  • Cross-tabulation of distribution channels and interfaces used for health insurance in Canada, 2020
  • Willingness of respondents to make claims online, Canada, 2020
  • Use of wearable devices and interest in them among respondents in Canada, 2020
  • Respondents in Canada who use or are interested in wearable devices, 2019 and 2020
  • Willingness of respondents to share data with insurers about physical and mental wellbeing, Canada, 2020
  • Willingness of respondents to share data with insurers about their physical and mental wellbeing, segmented by age and income, Canada, 2020
  • Use of and interest in health policies rewarding health lifestyle choices in Canada, 2020
  • Use of apps to diagnose and manage medical conditions among respondents in Canada, 2020
  • Providers of diagnosis and management apps segmented between employers, healthcare providers, health insurers and other, Canada, 2020
  • Digital services that respondents would value from a health insurance provider, Canada, 2020
  • Digital services that respondents would value from a health insurance provider, segmented by age and income, Canada, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership, Canada, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership; segmented by age and income, Canada, 2020
  • Experiences of COVID-19-related delays among respondents in Canada, 2020
  • Satisfaction with their health insurer among respondents in Canada, 2020
  • Reasons why respondents in Canada were satisfied with their health insurer, 2020
  • Reasons why respondents in Canada were dissatisfied with their health insurer, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, Canada, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, Canada, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, Canada, 2020 (table)
  • Percentage of respondents that trust their employer or six major tech brands more than their health insurer, Canada, 2020

8. CHINA

  • Health insurance take-up rate in China, segmented between respondents acquiring a new policy, renewing, and switching provider, 2020
  • Health insurance policyholders in China by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in China, 2020
  • Types of health insurance policy held by respondents in China by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in China by gender, age, occupation and income, 2020 (table)
  • Online discovery and use of aggregators for health insurance purchases in China, 2020
  • Distribution interfaces used to acquire health insurance in China, 2020
  • Distribution channels used to acquire health insurance in China, 2020
  • Cross-tabulation of distribution channels and interfaces used for health insurance in China, 2020
  • Willingness of respondents to make claims online, China, 2020
  • Use of wearable devices and interest in them among respondents in China, 2020
  • Respondents in China who use or are interested in wearable devices, 2019 and 2020
  • Willingness of respondents to share data with insurers about physical and mental wellbeing, China, 2020
  • Willingness of respondents to share data with insurers about their physical and mental wellbeing, segmented by age and income, China, 2020
  • Use of and interest in health policies rewarding health lifestyle choices in China, 2020
  • Use of apps to diagnose and manage medical conditions among respondents in China, 2020
  • Providers of diagnosis and management apps segmented between employers, healthcare providers, health insurers and other, China, 2020
  • Digital services that respondents would value from a health insurance provider, China, 2020
  • Digital services that respondents would value from a health insurance provider, segmented by age and income, China, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership, China, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership; segmented by age and income, China, 2020
  • Experiences of COVID-19-related delays among respondents in China, 2020
  • Satisfaction with their health insurer among respondents in China, 2020
  • Reasons why respondents in China were satisfied with their health insurer, 2020
  • Reasons why respondents in China were dissatisfied with their health insurer, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, China, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, China, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, China, 2020 (table)
  • Percentage of respondents that trust their employer or six major tech brands more than their health insurer, China, 2020

9. FRANCE

  • Health insurance take-up rate in France, segmented between respondents acquiring a new policy, renewing, and switching provider, 2020
  • Health insurance policyholders in France by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in France, 2020
  • Types of health insurance policy held by respondents in France by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in France by gender, age, occupation and income, 2020 (table)
  • Online discovery and use of aggregators for health insurance purchases in France, 2020
  • Distribution interfaces used to acquire health insurance in France, 2020
  • Distribution channels used to acquire health insurance in France, 2020
  • Cross-tabulation of distribution channels and interfaces used for health insurance in France, 2020
  • Willingness of respondents to make claims online, France, 2020
  • Use of wearable devices and interest in them among respondents in France, 2020
  • Respondents in France who use or are interested in wearable devices, 2019 and 2020
  • Willingness of respondents to share data with insurers about physical and mental wellbeing, France, 2020
  • Willingness of respondents to share data with insurers about their physical and mental wellbeing, segmented by age and income, France, 2020
  • Use of and interest in health policies rewarding health lifestyle choices in France, 2020
  • Use of apps to diagnose and manage medical conditions among respondents in France, 2020
  • Providers of diagnosis and management apps segmented between employers, healthcare providers, health insurers and other, France, 2020
  • Digital services that respondents would value from a health insurance provider, France, 2020
  • Digital services that respondents would value from a health insurance provider, segmented by age and income, France, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership, France, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership; segmented by age and income, France, 2020
  • Experiences of COVID-19-related delays among respondents in France, 2020
  • Satisfaction with their health insurer among respondents in France, 2020
  • Reasons why respondents in France were satisfied with their health insurer, 2020
  • Reasons why respondents in France were dissatisfied with their health insurer, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, France, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, France, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, France, 2020 (table)
  • Percentage of respondents that trust their employer or six major tech brands more than their health insurer, France, 2020

10. GERMANY

  • Health insurance take-up rate in Germany, segmented between respondents acquiring a new policy, renewing, and switching provider, 2020
  • Health insurance policyholders in Germany by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in Germany, 2020
  • Types of health insurance policy held by respondents in Germany by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in Germany by gender, age, occupation and income, 2020 (table)
  • Online discovery and use of aggregators for health insurance purchases in Germany, 2020
  • Distribution interfaces used to acquire health insurance in Germany, 2020
  • Distribution channels used to acquire health insurance in Germany, 2020
  • Cross-tabulation of distribution channels and interfaces used for health insurance in Germany, 2020
  • Willingness of respondents to make claims online, Germany, 2020
  • Use of wearable devices and interest in them among respondents in Germany, 2020
  • Respondents in Germany who use or are interested in wearable devices, 2019 and 2020
  • Willingness of respondents to share data with insurers about physical and mental wellbeing, Germany, 2020
  • Willingness of respondents to share data with insurers about their physical and mental wellbeing, segmented by age and income, Germany, 2020
  • Use of and interest in health policies rewarding health lifestyle choices in Germany, 2020
  • Use of apps to diagnose and manage medical conditions among respondents in Germany, 2020
  • Providers of diagnosis and management apps segmented between employers, healthcare providers, health insurers and other, Germany, 2020
  • Digital services that respondents would value from a health insurance provider, Germany, 2020
  • Digital services that respondents would value from a health insurance provider, segmented by age and income, Germany, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership, Germany, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership; segmented by age and income, Germany, 2020
  • Experiences of COVID-19-related delays among respondents in Germany, 2020
  • Satisfaction with their health insurer among respondents in Germany, 2020
  • Reasons why respondents in Germany were satisfied with their health insurer, 2020
  • Reasons why respondents in Germany were dissatisfied with their health insurer, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, Germany, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, Germany, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, Germany, 2020 (table)
  • Percentage of respondents that trust their employer or six major tech brands more than their health insurer, Germany, 2020

11. ITALY

  • Health insurance take-up rate in Italy, segmented between respondents acquiring a new policy, renewing, and switching provider, 2020
  • Health insurance policyholders in Italy by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in Italy, 2020
  • Types of health insurance policy held by respondents in Italy by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in Italy by gender, age, occupation and income, 2020 (table)
  • Online discovery and use of aggregators for health insurance purchases in Italy, 2020
  • Distribution interfaces used to acquire health insurance in Italy, 2020
  • Distribution channels used to acquire health insurance in Italy, 2020
  • Cross-tabulation of distribution channels and interfaces used for health insurance in Italy, 2020
  • Willingness of respondents to make claims online, Italy, 2020
  • Use of wearable devices and interest in them among respondents in Italy, 2020
  • Respondents in Italy who use or are interested in wearable devices, 2019 and 2020
  • Willingness of respondents to share data with insurers about physical and mental wellbeing, Italy, 2020
  • Willingness of respondents to share data with insurers about their physical and mental wellbeing, segmented by age and income, Italy, 2020
  • Use of and interest in health policies rewarding health lifestyle choices in Italy, 2020
  • Use of apps to diagnose and manage medical conditions among respondents in Italy, 2020
  • Providers of diagnosis and management apps segmented between employers, healthcare providers, health insurers and other, Italy, 2020
  • Digital services that respondents would value from a health insurance provider, Italy, 2020
  • Digital services that respondents would value from a health insurance provider, segmented by age and income, Italy, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership, Italy, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership; segmented by age and income, Italy, 2020
  • Experiences of COVID-19-related delays among respondents in Italy, 2020
  • Satisfaction with their health insurer among respondents in Italy, 2020
  • Reasons why respondents in Italy were satisfied with their health insurer, 2020
  • Reasons why respondents in Italy were dissatisfied with their health insurer, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, Italy, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, Italy, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, Italy, 2020 (table)
  • Percentage of respondents that trust their employer or six major tech brands more than their health insurer, Italy, 2020

12. SPAIN

  • Health insurance take-up rate in Spain, segmented between respondents acquiring a new policy, renewing, and switching provider, 2020
  • Health insurance policyholders in Spain by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in Spain, 2020
  • Types of health insurance policy held by respondents in Spain by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in Spain by gender, age, occupation and income, 2020 (table)
  • Online discovery and use of aggregators for health insurance purchases in Spain, 2020
  • Distribution interfaces used to acquire health insurance in Spain, 2020
  • Distribution channels used to acquire health insurance in Spain, 2020
  • Cross-tabulation of distribution channels and interfaces used for health insurance in Spain, 2020
  • Willingness of respondents to make claims online, Spain, 2020
  • Use of wearable devices and interest in them among respondents in Spain, 2020
  • Respondents in Spain who use or are interested in wearable devices, 2019 and 2020
  • Willingness of respondents to share data with insurers about physical and mental wellbeing, Spain, 2020
  • Willingness of respondents to share data with insurers about their physical and mental wellbeing, segmented by age and income, Spain, 2020
  • Use of and interest in health policies rewarding health lifestyle choices in Spain, 2020
  • Use of apps to diagnose and manage medical conditions among respondents in Spain, 2020
  • Providers of diagnosis and management apps segmented between employers, healthcare providers, health insurers and other, Spain, 2020
  • Digital services that respondents would value from a health insurance provider, Spain, 2020
  • Digital services that respondents would value from a health insurance provider, segmented by age and income, Spain, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership, Spain, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership; segmented by age and income, Spain, 2020
  • Experiences of COVID-19-related delays among respondents in Spain, 2020
  • Satisfaction with their health insurer among respondents in Spain, 2020
  • Reasons why respondents in Spain were satisfied with their health insurer, 2020
  • Reasons why respondents in Spain were dissatisfied with their health insurer, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, Spain, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, Spain, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, Spain, 2020 (table)
  • Percentage of respondents that trust their employer or six major tech brands more than their health insurer, Spain, 2020

13. UK

  • Health insurance take-up rate in the UK, segmented between respondents acquiring a new policy, renewing, and switching provider, 2020
  • Health insurance policyholders in the UK by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in the UK, 2020
  • Types of health insurance policy held by respondents in the UK by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in the UK by gender, age, occupation and income, 2020 (table)
  • Online discovery and use of aggregators for health insurance purchases in the UK, 2020
  • Distribution interfaces used to acquire health insurance in the UK, 2020
  • Distribution channels used to acquire health insurance in the UK, 2020
  • Cross-tabulation of distribution channels and interfaces used for health insurance in the UK, 2020
  • Willingness of respondents to make claims online, UK, 2020
  • Use of wearable devices and interest in them among respondents in the UK, 2020
  • Respondents in the UK who use or are interested in wearable devices, 2019 and 2020
  • Willingness of respondents to share data with insurers about physical and mental wellbeing, UK, 2020
  • Willingness of respondents to share data with insurers about their physical and mental wellbeing, segmented by age and income, UK, 2020
  • Use of and interest in health policies rewarding health lifestyle choices in the UK, 2020
  • Use of apps to diagnose and manage medical conditions among respondents in the UK, 2020
  • Providers of diagnosis and management apps segmented between employers, healthcare providers, health insurers and other, UK, 2020
  • Digital services that respondents would value from a health insurance provider, UK, 2020
  • Digital services that respondents would value from a health insurance provider, segmented by age and income, UK, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership, UK, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership; segmented by age and income, UK, 2020
  • Experiences of COVID-19-related delays among respondents in the UK, 2020
  • Satisfaction with their health insurer among respondents in the UK, 2020
  • Reasons why respondents in the UK were satisfied with their health insurer, 2020
  • Reasons why respondents in the UK were dissatisfied with their health insurer, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, UK, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, UK, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, UK, 2020 (table)
  • Percentage of respondents that trust their employer or six major tech brands more than their health insurer, UK, 2020

14. US

  • Health insurance take-up rate in the US, segmented between respondents acquiring a new policy, renewing, and switching provider, 2020
  • Health insurance policyholders in the US by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in the US, 2020
  • Types of health insurance policy held by respondents in the US by gender, age, occupation and income, 2020
  • Types of health insurance policy held by respondents in the US by gender, age, occupation and income, 2020 (table)
  • Online discovery and use of aggregators for health insurance purchases in the US, 2020
  • Distribution interfaces used to acquire health insurance in the US, 2020
  • Distribution channels used to acquire health insurance in the US, 2020
  • Cross-tabulation of distribution channels and interfaces used for health insurance in the US, 2020
  • Willingness of respondents to make claims online, US, 2020
  • Use of wearable devices and interest in them among respondents in the US, 2020
  • Respondents in the US who use or are interested in wearable devices, 2019 and 2020
  • Willingness of respondents to share data with insurers about physical and mental wellbeing, US, 2020
  • Willingness of respondents to share data with insurers about their physical and mental wellbeing, segmented by age and income, US, 2020
  • Use of and interest in health policies rewarding health lifestyle choices in the US, 2020
  • Use of apps to diagnose and manage medical conditions among respondents in the US, 2020
  • Providers of diagnosis and management apps segmented between employers, healthcare providers, health insurers and other, US, 2020
  • Digital services that respondents would value from a health insurance provider, US, 2020
  • Digital services that respondents would value from a health insurance provider, segmented by age and income, US, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership, US, 2020
  • Types of healthcare coverage that respondents find most appealing, segmented between standard 12-month policies, multi-year policies including data collection, and primary care membership; segmented by age and income, US, 2020
  • Experiences of COVID-19-related delays among respondents in the US, 2020
  • Satisfaction with their health insurer among respondents in the US, 2020
  • Reasons why respondents in the US were satisfied with their health insurer, 2020
  • Reasons why respondents in the US were dissatisfied with their health insurer, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, US, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, US, 2020
  • Percentage of respondents that trust health insurers, employers and six major tech brands with their personal data, including health data, segmented by age and income, US, 2020 (table)
  • Percentage of respondents that trust their employer or six major tech brands more than their health insurer, US, 2020

15. APPENDIX

  • Survey sample in ten countries segmented by gender, 2020
  • Survey sample in ten countries segmented by age group and annual household income, 2020
  • Survey sample in ten countries segmented by age group and annual household income, 2020 (table)
目次
Product Code: dhm_sgm

This series provides a detailed analysis of consumer attitudes and behaviour towards health insurance, focusing particularly on the growing role of digital technology, across ten key markets in 2020: Australia, Brazil, Canada, China, France, Germany, Italy, Spain, the UK and the USA.

Analysis is provided in four main areas:

Policy types, purchases, renewals and changes

How many people acquire private health insurance in each country?

What kinds of health insurance do they have?

Purchase journey

What organisations do people buy cover from?

Which online and offline interfaces do they use

Do aggregators play a significant role?

Digital services

What are the levels of use and interest in these digital options: online claims, wearable devices, lifestyle-linked policies, data-sharing and mobile apps

Reputation and trust

How do people feel about their health insurers, and why?

Do they trust major tech brands more than their insurance provider?

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. ABOUT FINACCORD

  • International consumer research about other topics

3. INTRODUCTION

  • What is this series of reports about?
  • The research investigates consumers' views of digital technology in health insurance
  • Rationale
  • Comparative information about consumer behaviour is key when digital distribution is developing globally
  • Definition of annual household income bands

4. OVERVIEW

  • Introduction
  • Health policies
  • Policy changes
  • Socio-demographic breakdown of policyholders
  • Types of health insurance
  • Socio-demographic breakdown of types of health insurance
  • Purchase journey
  • Online research, the role of aggregators, and purchase interfaces
  • Distribution channels
  • Digital services
  • Claims
  • Wearable devices
  • Willingness to share health data with insurers
  • Socio-demographic break-down of consumer willingness to share data
  • Use of apps for health condition diagnosis and management
  • Most valued digital services and type of healthcare cover
  • Reputation and trust
  • COVID-19-related delays
  • Levels of satisfaction
  • Reasons for satisfaction and dissatisfaction
  • Consumer attitudes to Amazon, Apple, Facebook, Google, Microsoft and Samsung
  • Socio-demographic breakdown of trust in tech brands

5. AUSTRALIA

  • Introduction
  • Health policies
  • Policy changes
  • Socio-demographic breakdown of policyholders in Australia
  • Types of health insurance
  • Socio-demographic breakdown of types of health insurance
  • Purchase journey
  • Online research, the role of aggregators, and distribution interfaces
  • Distribution channels
  • Cross-tabulation of distribution interfaces and channels used to acquire health insurance
  • Digital services
  • Claims
  • Wearable devices
  • Willingness to share health data with insurers
  • Socio-demographic break-down of consumer willingness to share data
  • Consumer use of lifestyle-based health policies
  • Use of apps for diagnosis and management of health conditions
  • Most valued digital services and healthcare cover type
  • Reputation and trust
  • COVID-19-related delays
  • Levels of satisfaction
  • Reasons for satisfaction and dissatisfaction
  • Consumer attitudes to Amazon, Apple, Facebook, Google, Microsoft and Samsung
  • Socio-demographic breakdown of trust in tech brands

6. BRAZIL

  • Introduction
  • Health policies
  • Policy changes
  • Socio-demographic breakdown of policyholders in Brazil
  • Types of health insurance
  • Socio-demographic breakdown of types of health insurance
  • Purchase journey
  • Online research, the role of aggregators, and distribution interfaces
  • Distribution channels
  • Cross-tabulation of distribution interfaces and channels used to acquire health insurance
  • Digital services
  • Claims
  • Wearable devices
  • Willingness to share health data with insurers
  • Socio-demographic break-down of consumer willingness to share data
  • Consumer use of lifestyle-based health policies
  • Use of apps for diagnosis and management of health conditions
  • Most valued digital services and healthcare cover type
  • Reputation and trust
  • COVID-19-related delays
  • Levels of satisfaction
  • Reasons for satisfaction and dissatisfaction
  • Consumer attitudes to Amazon, Apple, Facebook, Google, Microsoft and Samsung
  • Socio-demographic breakdown of trust in tech brands

7. CANADA

  • Introduction
  • Health policies
  • Policy changes
  • Socio-demographic breakdown of policyholders in Canada
  • Types of health insurance
  • Socio-demographic breakdown of types of health insurance
  • Purchase journey
  • Online research, the role of aggregators, and distribution interfaces
  • Distribution channels
  • Cross-tabulation of distribution interfaces and channels used to acquire health insurance
  • Digital services
  • Claims
  • Wearable devices
  • Willingness to share health data with insurers
  • Socio-demographic break-down of consumer willingness to share data
  • Consumer use of lifestyle-based health policies
  • Use of apps for diagnosis and management of health conditions
  • Most valued digital services and healthcare cover type
  • Reputation and trust
  • COVID-19-related delays
  • Levels of satisfaction
  • Reasons for satisfaction and dissatisfaction
  • Consumer attitudes to Amazon, Apple, Facebook, Google, Microsoft and Samsung
  • Socio-demographic breakdown of trust in tech brands

8. CHINA

  • Introduction
  • Health policies
  • Policy changes
  • Socio-demographic breakdown of policyholders in China
  • Types of health insurance
  • Socio-demographic breakdown of types of health insurance
  • Purchase journey
  • Online research, the role of aggregators, and distribution interfaces
  • Distribution channels
  • Cross-tabulation of distribution interfaces and channels used to acquire health insurance
  • Digital services
  • Claims
  • Wearable devices
  • Willingness to share health data with insurers
  • Socio-demographic break-down of consumer willingness to share data
  • Consumer use of lifestyle-based health policies
  • Use of apps for diagnosis and management of health conditions
  • Most valued digital services and healthcare cover type
  • Reputation and trust
  • COVID-19-related delays
  • Levels of satisfaction
  • Reasons for satisfaction and dissatisfaction
  • Consumer attitudes to Amazon, Apple, QQ / WeChat, Baidu, Microsoft and Samsung
  • Socio-demographic breakdown of trust in tech brands

9. FRANCE

  • Introduction
  • Health policies
  • Policy changes
  • Socio-demographic breakdown of policyholders in France
  • Types of health insurance
  • Socio-demographic breakdown of types of health insurance
  • Purchase journey
  • Online research, the role of aggregators, and distribution interfaces
  • Distribution channels
  • Cross-tabulation of distribution interfaces and channels used to acquire health insurance
  • Digital services
  • Claims
  • Wearable devices
  • Willingness to share health data with insurers
  • Socio-demographic break-down of consumer willingness to share data
  • Consumer use of lifestyle-based health policies
  • Use of apps for diagnosis and management of health conditions
  • Most valued digital services and healthcare cover type
  • Reputation and trust
  • COVID-19-related delays
  • Levels of satisfaction
  • Reasons for satisfaction and dissatisfaction
  • Consumer attitudes to Amazon, Apple, Facebook, Google, Microsoft and Samsung
  • Socio-demographic breakdown of trust in tech brands

10. GERMANY

  • Introduction
  • Health policies
  • Policy changes
  • Socio-demographic breakdown of policyholders in Germany
  • Types of health insurance
  • Socio-demographic breakdown of types of health insurance
  • Purchase journey
  • Online research, the role of aggregators, and distribution interfaces
  • Distribution channels
  • Cross-tabulation of distribution interfaces and channels used to acquire health insurance
  • Digital services
  • Claims
  • Wearable devices
  • Willingness to share health data with insurers
  • Socio-demographic break-down of consumer willingness to share data
  • Consumer use of lifestyle-based health policies
  • Use of apps for diagnosis and management of health conditions
  • Most valued digital services and healthcare cover type
  • Reputation and trust
  • COVID-19-related delays
  • Levels of satisfaction
  • Reasons for satisfaction and dissatisfaction
  • Consumer attitudes to Amazon, Apple, Facebook, Google, Microsoft and Samsung
  • Socio-demographic breakdown of trust in tech brands

11. ITALY

  • Introduction
  • Health policies
  • Policy changes
  • Socio-demographic breakdown of policyholders in Italy
  • Types of health insurance
  • Socio-demographic breakdown of types of health insurance
  • Purchase journey
  • Online research, the role of aggregators, and distribution interfaces
  • Distribution channels
  • Cross-tabulation of distribution interfaces and channels used to acquire health insurance
  • Digital services
  • Claims
  • Wearable devices
  • Willingness to share health data with insurers
  • Socio-demographic break-down of consumer willingness to share data
  • Consumer use of lifestyle-based health policies
  • Use of apps for diagnosis and management of health conditions
  • Most valued digital services and healthcare cover type
  • Reputation and trust
  • COVID-19-related delays
  • Levels of satisfaction
  • Reasons for satisfaction and dissatisfaction
  • Consumer attitudes to Amazon, Apple, Facebook, Google, Microsoft and Samsung
  • Socio-demographic breakdown of trust in tech brands

12. SPAIN

  • Introduction
  • Health policies
  • Policy changes
  • Socio-demographic breakdown of policyholders in Spain
  • Types of health insurance
  • Socio-demographic breakdown of types of health insurance
  • Purchase journey
  • Online research, the role of aggregators, and distribution interfaces
  • Distribution channels
  • Cross-tabulation of distribution interfaces and channels used to acquire health insurance
  • Digital services
  • Claims
  • Wearable devices
  • Willingness to share health data with insurers
  • Socio-demographic break-down of consumer willingness to share data
  • Consumer use of lifestyle-based health policies
  • Use of apps for diagnosis and management of health conditions
  • Most valued digital services and healthcare cover type
  • Reputation and trust
  • COVID-19-related delays
  • Levels of satisfaction
  • Reasons for satisfaction and dissatisfaction
  • Consumer attitudes to Amazon, Apple, Facebook, Google, Microsoft and Samsung
  • Socio-demographic breakdown of trust in tech brands