Reference : Generation of Patients-as-Partner Items Through a Qualitative Data Analysis : Initial... |
Scientific congresses, symposiums and conference proceedings : Paper published in a book | |||
Social & behavioral sciences, psychology : Sociology & social sciences Human health sciences : Public health, health care sciences & services | |||
Sustainable Development | |||
http://hdl.handle.net/10993/40726 | |||
Generation of Patients-as-Partner Items Through a Qualitative Data Analysis : Initial Item Reduction | |
English | |
Odero, Angela [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >] | |
Baumann, Michèle ![]() | |
2019 | |
Conference Handbook EHPS : Individuals and Professionals Cooperation to health | |
EHPS | |
319 | |
Yes | |
International | |
Dubrovnik | |
Croatia | |
33rd Annual Conference of EHPS : Individuals and Professionals Cooperation to health | |
02-09-2019 - 08-09-2019 | |
European Health Psychology Society(EHPS) | |
Dubrovnik | |
Croatia | |
[en] qualitative analyse ; sorensen ; patient-as-partner | |
[en] Health psychology aspires to find ways for evaluating the Patient as a Partner. The Montréal
model, proposes a verbal and conceptual interpretation. Developed by a University of Montréal research team, this approach advances that patients should play an active role in the healthcare process. Quantitative assessments employing a methodological framework involving a qualitative approach do not exist. Our study aimed at analyzing a procedure for generating patient as a partner related items and to elaborate their classification. Five semi-structured focus groups with 20 chronic disease patients and 15 professionals (doctors, nurses) were conducted. A qualitative analysis, combining inductive (data abstraction was conducted from specific to general), and deductive (guided by a predefined protocol) methods was employed to create a flexible framework of analysis. A thematic categorical content analysis of the transcriptions was conducted. Verbatim were extracted and classified into categories. Cluster analysis using Sorensen’s coeffient was performed with the software N’Vivo 12. Sorensen’s similarity analysis helped to structure a conceptual framework for the assessment of patient as partner at the doctor patient interaction level. The content of each category was verfied through consensus by multidisciplinary experts, who formulated items to capture the overall patient as partner experience. Our list of items constituted fundamental dimensions of partnership, constituting a first classification and a basis for the development of a routine clinical assessment tool. This process should guarantee that the items are acceptable, comprehensive and relevant (reflecting the lived experience of the participants) ensuring a validity of the future questionnaire. | |
Integrative Research Unit: Social and Individual Development (INSIDE) > PEARL Institute for Research on Socio-Economic Inequality (IRSEI) | |
University of Luxembourg - UL | |
Researchers ; Professionals ; Students | |
http://hdl.handle.net/10993/40726 |
File(s) associated to this reference | ||||||||||||||||||||||||
Fulltext file(s):
Additional material(s):
| ||||||||||||||||||||||||
All documents in ORBilu are protected by a user license.