A multi-level assessment of shared decision making: An evaluation of clinician and patient attitudes and behaviors and the identification of predictive profiles
Abstract The objective of this study was to gain a greater understanding of shared decision making (SDM) by identifying the behaviors and attitudes of healthcare professionals (HCP) and patients that are associated with varying levels of SDM performance. The study centered on HCP and patient surve...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-01-01
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| Series: | Cogent Medicine |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/2331205X.2020.1786986 |
| _version_ | 1828383122706661376 |
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| author | Steven Haimowitz Karyn Ruiz-Cordell Katherine Joubin Regina Sih-Meynier |
| author_facet | Steven Haimowitz Karyn Ruiz-Cordell Katherine Joubin Regina Sih-Meynier |
| author_sort | Steven Haimowitz |
| collection | DOAJ |
| description | Abstract The objective of this study was to gain a greater understanding of shared decision making (SDM) by identifying the behaviors and attitudes of healthcare professionals (HCP) and patients that are associated with varying levels of SDM performance. The study centered on HCP and patient surveys that assessed a participant’s degree of endorsement of SDM favorable behaviors by asking them to predict how they might address a specific decision point in various healthcare interactions. Using quantitative (descriptive analytics, predictive and mixture modeling) and qualitative methods (grounded theory) to analyze the data, SDM skills were quantified in HCP and patient populations, and demographic and attitudinal factors that facilitate or hinder successful implementation of SDM were identified. Distinct HCP profiles (Motivated but Cautious, Insufficiently Engaged, and Pro-Autonomous) and patient profiles (Pro-Paternalistic, Pro-Autonomous, and Unconcerned but Open-Minded) were then defined. By characterizing these distinct profiles and the attitudes and preferences that are associated with one another, these results can be directly utilized by educational providers interested in teaching SDM skills to enable HCPs to individualize their SDM approach based on the recognition of these profiles while also providing the self-assessment needed to modify their own behaviors. |
| first_indexed | 2024-12-10T04:44:23Z |
| format | Article |
| id | doaj.art-a7fcb1e1d97a4d0c81f3929dd8109421 |
| institution | Directory Open Access Journal |
| issn | 2331-205X |
| language | English |
| last_indexed | 2024-12-10T04:44:23Z |
| publishDate | 2020-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Medicine |
| spelling | doaj.art-a7fcb1e1d97a4d0c81f3929dd81094212022-12-22T02:01:47ZengTaylor & Francis GroupCogent Medicine2331-205X2020-01-017110.1080/2331205X.2020.17869861786986A multi-level assessment of shared decision making: An evaluation of clinician and patient attitudes and behaviors and the identification of predictive profilesSteven Haimowitz0Karyn Ruiz-Cordell1Katherine Joubin2Regina Sih-Meynier3HealthCourse, IncRegeneronHealthCourse, IncGenentechAbstract The objective of this study was to gain a greater understanding of shared decision making (SDM) by identifying the behaviors and attitudes of healthcare professionals (HCP) and patients that are associated with varying levels of SDM performance. The study centered on HCP and patient surveys that assessed a participant’s degree of endorsement of SDM favorable behaviors by asking them to predict how they might address a specific decision point in various healthcare interactions. Using quantitative (descriptive analytics, predictive and mixture modeling) and qualitative methods (grounded theory) to analyze the data, SDM skills were quantified in HCP and patient populations, and demographic and attitudinal factors that facilitate or hinder successful implementation of SDM were identified. Distinct HCP profiles (Motivated but Cautious, Insufficiently Engaged, and Pro-Autonomous) and patient profiles (Pro-Paternalistic, Pro-Autonomous, and Unconcerned but Open-Minded) were then defined. By characterizing these distinct profiles and the attitudes and preferences that are associated with one another, these results can be directly utilized by educational providers interested in teaching SDM skills to enable HCPs to individualize their SDM approach based on the recognition of these profiles while also providing the self-assessment needed to modify their own behaviors.http://dx.doi.org/10.1080/2331205X.2020.1786986shared decision-makingpatient-centered careclinical interactionsmedical decision-makingcontinuing education |
| spellingShingle | Steven Haimowitz Karyn Ruiz-Cordell Katherine Joubin Regina Sih-Meynier A multi-level assessment of shared decision making: An evaluation of clinician and patient attitudes and behaviors and the identification of predictive profiles Cogent Medicine shared decision-making patient-centered care clinical interactions medical decision-making continuing education |
| title | A multi-level assessment of shared decision making: An evaluation of clinician and patient attitudes and behaviors and the identification of predictive profiles |
| title_full | A multi-level assessment of shared decision making: An evaluation of clinician and patient attitudes and behaviors and the identification of predictive profiles |
| title_fullStr | A multi-level assessment of shared decision making: An evaluation of clinician and patient attitudes and behaviors and the identification of predictive profiles |
| title_full_unstemmed | A multi-level assessment of shared decision making: An evaluation of clinician and patient attitudes and behaviors and the identification of predictive profiles |
| title_short | A multi-level assessment of shared decision making: An evaluation of clinician and patient attitudes and behaviors and the identification of predictive profiles |
| title_sort | multi level assessment of shared decision making an evaluation of clinician and patient attitudes and behaviors and the identification of predictive profiles |
| topic | shared decision-making patient-centered care clinical interactions medical decision-making continuing education |
| url | http://dx.doi.org/10.1080/2331205X.2020.1786986 |
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