Literature DB >> 34264193

How Patient Work Changes Over Time for People With Multimorbid Type 2 Diabetes: Qualitative Study.

Kathleen Yin1, Joshua Jung1, Enrico Coiera1, Kenneth W K Ho2, Sanjyot Vagholkar2, Ann Blandford3, Frances Rapport4, Annie Y S Lau1.   

Abstract

BACKGROUND: The experiences of patients change throughout their illness trajectory and differ according to their medical history, but digital support tools are often designed for one specific moment in time and do not change with the patient as their health state changes. This presents a fragmented support pattern where patients have to move from one app to another as they move between health states, and some subpopulations of patients do not have their needs addressed at all.
OBJECTIVE: This study aims to investigate how patient work evolves over time for those living with type 2 diabetes mellitus and chronic multimorbidity, and explore the implications for digital support system design.
METHODS: In total, 26 patients with type 2 diabetes mellitus and chronic multimorbidity were recruited. Each interview was conducted twice, and interviews were transcribed and analyzed according to the Chronic Illness Trajectory Model.
RESULTS: Four unique illness trajectories were identified with different patient work goals and needs: living with stable chronic conditions involves patients seeking to make patient work as routinized and invisible as possible; dealing with cycles of acute or crisis episodes included heavily multimorbid patients who sought support with therapy adherence; responding to unstable changes described patients currently experiencing rapid health changes and increasing patient work intensity; and coming back from crisis focused on patients coping with a loss of normalcy.
CONCLUSIONS: Patient work changes over time based on the experiences of the individual, and its timing and trajectory need to be considered when designing digital support interventions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2018-022163. ©Kathleen Yin, Joshua Jung, Enrico Coiera, Kenneth W K Ho, Sanjyot Vagholkar, Ann Blandford, Frances Rapport, Annie Y S Lau. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 15.07.2021.

Entities:  

Keywords:  chronic conditions; chronic illness trajectory; consumer informatics; diabetes; patient work; self-management

Year:  2021        PMID: 34264193     DOI: 10.2196/25992

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  4 in total

1.  Identifying daily activities of patient work for type 2 diabetes and co-morbidities: a deep learning and wearable camera approach.

Authors:  Hao Xiong; Hoai Nam Phan; Kathleen Yin; Shlomo Berkovsky; Joshua Jung; Annie Y S Lau
Journal:  J Am Med Inform Assoc       Date:  2022-07-12       Impact factor: 7.942

2.  Consumer workarounds during the COVID-19 pandemic: analysis and technology implications using the SAMR framework.

Authors:  Kathleen Yin; Enrico Coiera; Joshua Jung; Urvashi Rohilla; Annie Y S Lau
Journal:  J Am Med Inform Assoc       Date:  2022-06-14       Impact factor: 7.942

3.  Stakeholder Perspectives on Clinical Decision Support Tools to Inform Clinical Artificial Intelligence Implementation: Protocol for a Framework Synthesis for Qualitative Evidence.

Authors:  Mohaimen Al-Zubaidy; H D Jeffry Hogg; Gregory Maniatopoulos; James Talks; Marion Dawn Teare; Pearse A Keane; Fiona R Beyer
Journal:  JMIR Res Protoc       Date:  2022-04-01

4.  Patient Work Personas of Type 2 Diabetes-A Data-Driven Approach to Persona Development and Validation.

Authors:  Natasha Galliford; Kathleen Yin; Ann Blandford; Joshua Jung; Annie Y S Lau
Journal:  Front Digit Health       Date:  2022-06-23
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.