Literature DB >> 27302543

Control preferences in treatment decisions among older adults - Results of a large population-based study.

Sabine Lechner1, Wolfgang Herzog2, Friederike Boehlen3, Imad Maatouk4, Kai-Uwe Saum5, Hermann Brenner6, Beate Wild7.   

Abstract

OBJECTIVE: Older adults appear to be a specifically vulnerable group that could benefit considerably from the assessment of their decision-making preferences. The aim of this study was to estimate prevalence rates and to explore characteristics of control preferences in a population-based sample of older adults.
METHODS: Data was derived from the 8-year follow-up of the ESTHER study - a German epidemiological study in the elderly population. n=3124 participants ages 57 to 84 were visited at home by trained medical doctors for a comprehensive assessment regarding various aspects of their life. The German version of the Control Preferences Scale (CPS) was used to assess decision-making.
RESULTS: Most of the participants reported a preference for an active role in the decision-making process (46%, 95% CI [44.3; 47.9]), while 30.0% [28.4; 31.5] preferred a collaborative role, and 23.9% [22.4; 25.5] a passive role. Participants aged ≤65years preferred a more passive role in decision-making compared to persons aged <65years. Participants with clinically significant depression symptoms (CSD) preferred significantly more often a passive role compared to those without CSD. Similarly, multimorbid patients preferred a passive role compared to people with none or one chronic disease. Conversely, in groups with active or collaborative control preferences the morbidity index was lower compared to the group with passive control preferences.
CONCLUSION: Results indicate that physical and mental health in the elderly are associated with the preference role. It should, however, be investigated whether multimorbidity or mental diseases influence the treatment preference of older adults.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CPS; Control preferences scale; Decision-making; Elderly; Population-based study

Mesh:

Year:  2016        PMID: 27302543     DOI: 10.1016/j.jpsychores.2016.05.004

Source DB:  PubMed          Journal:  J Psychosom Res        ISSN: 0022-3999            Impact factor:   3.006


  8 in total

1.  Examining the impact of a multimedia intervention on treatment decision-making among newly diagnosed prostate cancer patients: results from a nationwide RCT.

Authors:  Michael A Diefenbach; Catherine Benedict; Suzanne M Miller; Annette L Stanton; Mary E Ropka; Kuang-Yi Wen; Linda G Fleisher; Nihal E Mohamed; Simon J Hall
Journal:  Transl Behav Med       Date:  2018-11-21       Impact factor: 3.046

2.  Patients control preferences and results in knee arthroplasty.

Authors:  G Filardo; A Roffi; G Merli; T Marcacci; F Berti Ceroni; D Raboni; E Kon; M Marcacci
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2017-01-03       Impact factor: 4.342

3.  Patient participation in treatment decision-making of prostate cancer: a qualitative study.

Authors:  Shucheng Pan; Jinjiao Mao; Lijuan Wang; Yun Dai; Wei Wang
Journal:  Support Care Cancer       Date:  2022-01-27       Impact factor: 3.603

4.  The association between supportive social ties and autonomic nervous system function-differences between family ties and friendship ties in a cohort of older adults.

Authors:  Catherin Bosle; Hermann Brenner; Joachim E Fischer; Marc N Jarczok; Ben Schöttker; Laura Perna; Kristina Hoffmann; Raphael M Herr
Journal:  Eur J Ageing       Date:  2021-07-09

5.  Availability and Quality of Assessment Instruments on Patient-Centredness in the Multimorbid Elderly (AQuA-PCE): a study protocol of a systematic review.

Authors:  Manuela Glattacker; Manuela Kanat; Jonas Schaefer; Edith Motschall; Laura Kivelitz; Sebastian Voigt-Radloff; Joerg Dirmaier
Journal:  BMJ Open       Date:  2020-02-05       Impact factor: 2.692

6.  Priorities of patients with multimorbidity and of clinicians regarding treatment and health outcomes: a systematic mixed studies review.

Authors:  Harini Sathanapally; Manbinder Sidhu; Radia Fahami; Clare Gillies; Umesh Kadam; Melanie J Davies; Kamlesh Khunti; Samuel Seidu
Journal:  BMJ Open       Date:  2020-02-12       Impact factor: 2.692

7.  The Treatment Decision-making Preferences of Patients with Prostate Cancer Should Be Recorded in Research and Clinical Routine: a Pooled Analysis of Four Survey Studies with 7169 Patients.

Authors:  Andreas Ihrig; I Maatouk; H C Friederich; M Baunacke; C Groeben; R Koch; C Thomas; J Huber
Journal:  J Cancer Educ       Date:  2020-09-17       Impact factor: 1.771

8.  Cross-cultural validation of the patient-practitioner orientation scale among primary care professionals in Spain.

Authors:  Lilisbeth Perestelo-Pérez; Amado Rivero-Santana; Ana Isabel González-González; Carlos Jesús Bermejo-Caja; Vanesa Ramos-García; Débora Koatz; Alezandra Torres-Castaño; Marta Ballester; Marcos Muñoz-Balsa; Yolanda Del Rey-Granado; Francisco Javier Pérez-Rivas; Yolanda Canellas-Criado; Ana Belén Ramírez-Puerta; Valeria Pacheco-Huergo; Carola Orrego
Journal:  Health Expect       Date:  2020-10-30       Impact factor: 3.377

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.