Data and code for: Better self-care through co-care? A latent profile analysis of primary care patients’ experiences of e-health-supported chronic care management
Documentation files
Documentation files
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
Research principal:
Data contains personal data:
No
Citation:
Method and outcome
Method and outcome
Unit of analysis:
Population:
Primary care patients with any of the following diagnoses: hypertension, heart failure, mental illness
Time method:
Study design:
- Observational study
Description of study design:
Two-wave longitudinal questionnaire study set in a primary health care center in Sweden.
Description of sampling:
Participants were purposefully sampled to participate in the pilot if they fulfilled the following criteria: diagnosed with hypertension, chronic heart failure, or mental health conditions (e.g., stress-related ill-health, insomnia, anxiety, and depressive disorders); able to speak Swedish; age > 18 years. The participants were recruited by the primary care center and all who participated in the pilot were invited to respond to the questionnaires.
Time period(s) investigated:
Variables:
31
Number of individuals/objects:
180
Response rate/participation rate:
55%
Description of the response rate/participation rate:
A total of 308 participants were invited. Response rate at T1: 55%; Response rate at T2: 41%.
Data format/data structure:
Geographic coverage
Geographic coverage
Geographic location:
Geographic description:
The study population consisted of patients from one primary care center in Stockholm Region.
Administrative information
Administrative information
Responsible department/unit:
Department of Learning, Informatics, Management and Ethics [C7]
Ethics Review:
Swedish Ethical Review Authority - 2018/625-31/5 and 2018/1717-32
Funding
Funding
Funding agency:
- The Kamprad Family Foundation for Entrepreneurship, Research & Charity
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Award number:
20170012
Award title:
Co-care: Hur kan eHälsa bidra till ökad effektivitet genom förändrad instruktion mellan vårdgivare och patienter?
Funding agency:
Award number:
2017-01451_Forte
Award title:
Care when and where it matters - How can eHealth transform patient – professional interaction and collaboration in chronic care management? A distributed cognition approach.
Funding information:
For patients with chronic conditions, care is not mainly about what happens during (infrequent) visits to health or social care professionals, but what happens 24/7. Health and social care must therefore be organized to support patients in self-care of their chronic conditions. eHealth has an important role to play by facilitating new types of collaboration between patients and professionals, where the interaction revolves around patient needs and goals. However, we know little about how this can be realized. The overall aim of this research is to explore how eHealth services intended to support patient self-care transform the patient-professional interaction and collaboration in chronic care management. Using the theory of distributed cognition, we explore how cognitive processes such as problem solving and information processing are distributed between actors, eHealth services, time and space, and how this distribution affects interactions, collaboration and self-care. Both intended and unintended consequences are considered. In Part 1, a cross-sectional multiple case study design will be used to uncover variations in distributed cognitive systems across different eHealth services. In Part 2, a longitudinal single case study design will be used to study the introduction and evolution of an eHealth service in clinical practice over time. We propose to combine cognitive task analysis and a systematic methodology developed specifically for investigating distributed cognitive systems. Data are collected through observations, interviews and data logs. For each case, we construct models for information flow, physical layout, artifacts, social structures, evolution of the system and system activities, and compare these models within and between cases. The project will contribute with detailed, theoretically derived and practically relevant knowledge in the crossroad between eHealth, patient-orientation, inter-professional teamwork and management of chronic conditions.
