Skip to content
naulon
Not checkedNot checked for notices yet.

Mixed Study on the Impact of a Technology-Based Retirement Preparation Program: Tech-Retired. Protocol Study

María del Carmen Miranda-Duro, Laura Nieto-Riveiro, Patricia Concheiro-Moscoso and 4 more

International Journal of Qualitative Methods · 2021

doi:10.1177/16094069211003437 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Background: Despite the increase in the older-adults’ population and recognizing retirement as one of the most changeable life stages, most Spanish people do not perform a retirement preparation program. The adaptation and preparation for retirement are needed to ensure adequate active and healthy aging. Objectives: The study aims to know about the experience with the retirement process of a retired people’s group and understand the impact on their quality-of-life and behavior change of a Personalized Retirement Preparation Program using technological devices. Participants: People retired who have enjoyed paid employment and have never done a preparation program for retirement. Methods: The present study is a mixed design consisting of a Participatory-Action-Research and a quasi-experimental study. The qualitative tools used were semi-structured individual, group interviews, and field diary, and the quantitative tools were the sociodemographic variables sheet and the EuroQol-5D-5 L scale. Action plan development: It was developed with 26 participants divided into three groups, during five presential sessions, and using technological resources. Data analysis: It consists of the comparison pre-post action plan along with analysis of the interview transcriptions with a parallel convergent analysis between qualitative and quantitative data. Ethics: The Research Ethics Committee of Galicia has approved the protocol.

Abstract licence: CC BY-NC

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.