Literature DB >> 32507526

The national implementation of 'Proactive Health Support' in Denmark since 2017: Expectations and challenges for the telephone-based self-management program.

Mia Fredens1, Morten Deleuran Terkildsen2, Stina Bollerup2, Jens Albæk3, Nina Konstantin Nissen2, Susanne Winther4, Mette Grønkjær5, Maja Kjær Rasmussen6, Kirstine Skov Benthien3, Ulla Toft3, Louise Hjarnaa3, Knud Rasmussen7, Camilla Palmhøj Nielsen2.   

Abstract

In Denmark, as in many other Western countries, a small group of people are major hospital users and account for a large proportion of health care spending. Proactive Health Support (PaHS) is the first national Danish program that aims to reduce health care consumption targeting people at risk of becoming major users of health services. PaHS was part of the government's The sooner-the better national health policy, which includes a focus on policy programs targeting the weakest and most complex chronic patients at risk of high health care consumption. PaHS is a telephone-based self-management support program that uses a prediction model to identify people at high risk of acute hospital admissions. Reducing preventable hospital admissions and enhancing quality of life are central policy goals. The Danish policy was inspired by a Swedish policy program, and PaHS has been implemented based on policy transfer with political expectations that the Swedish results can be replicated in Denmark. The effects of PaHS are currently under study, and time will show whether expectations can be met. This paper discusses institutional conditions and expectations related to replicating a policy program and its outcomes. In addition, it highlights implementation issues that may affect the success of the policy program.
Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Denmark; Government program; Health care consumption; Health care policy; Policy transfer; Self management support

Mesh:

Year:  2020        PMID: 32507526     DOI: 10.1016/j.healthpol.2020.05.014

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  1 in total

1.  Predicting Individual Risk of Emergency Hospital Admissions - A Retrospective Validation Study.

Authors:  Kirstine Skov Benthien; Rikke Kart Jacobsen; Louise Hjarnaa; Gert Mehl Virenfeldt; Knud Rasmussen; Ulla Toft
Journal:  Risk Manag Healthc Policy       Date:  2021-09-15
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.