Patient involvement in consultation for atrial fibrillation – the cardiologists’ perspective

2019 ◽  
Vol 32 (4) ◽  
pp. 765-776 ◽  
Author(s):  
Ulla Hellström Muhli ◽  
Jan Trost ◽  
Eleni Siouta
Keyword(s):  
Atrial Fibrillation ◽  
Decision Making ◽  
Content Analysis ◽  
Shared Decision Making ◽  
Patient Involvement ◽  
Qualitative Content Analysis ◽  
Medical Consultation ◽  
Shared Decision ◽  
Consultation Process ◽  
Content Type

Purpose The purpose of this paper is to analyse the accounts of Swedish cardiologists concerning patient involvement in consultations for atrial fibrillation (AF). The questions were: how cardiologists handle and provide scope for patient involvement in medical consultations regarding AF treatment and how cardiologists describe their familiarity with shared decision-making. Design/methodology/approach A descriptive study was designed. Ten interviews with cardiologists at four Swedish hospitals were held, and a qualitative content analysis was performed on the collected data. Findings The analysis shows cardiologists’ accounts of persuasive practice, protective practice, professional role and medical craftsmanship when it comes to patient involvement and shared decision-making. The term “shared decision-making” implies a concept of not only making one decision but also ensuring that it is finalised with a satisfactory agreement between both parties involved, the patient as well as the cardiologist. In order for the idea of patient involvement to be fulfilled, the two parties involved must have equal power, which can never actually be guaranteed. Research limitations/implications Methodologically, this paper reflects the special contribution that can be made by the research design of descriptive qualitative content analysis (Krippendorff, 2004) to reveal and understand cardiologists’ perspectives on patient involvement and participation in medical consultation and shared decision-making. The utility of this kind of analysis is to find what cardiologists said and how they arrived at their understanding about patient involvement. Accordingly, there is no quantification in this type of research. Practical implications Cardiologists should prioritise patient involvement and participation in decision-making regarding AF treatment decisions in consultations when trying to meet the request of patient involvement. Originality/value Theoretically, the authors have learned that the patient involvement and shared decision-making requires the ability to see patients as active participants in the medical consultation process.

scholarly journals Cardiologists’ experiences and perceptions of patient involvement and communication related to shared decision-making regarding atrial fibrillation treatment

2017 ◽  
Vol 14 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Eleni Siouta ◽  
Ulla Hellström Muhli ◽  
Bjöörn Fossum ◽  
Klas Karlgren
Keyword(s):  
Atrial Fibrillation ◽  
Decision Making ◽  
Content Analysis ◽  
Patient Involvement ◽  
Qualitative Content Analysis ◽  
Treatment Decisions ◽  
Shared Decision ◽  
Supportive Communication ◽  
Physician Patient Communication ◽  
Physician Patient

Objective: To feel involved in decisions about atrial fibrillation (AF) treatment, patients need supportive communication from cardiologists. Shedding light on cardiologists’ perceptions of patient involvement in AF care settings is thus of importance. We examine (1) how cardiologists describe patient involvement and communication related to shared decisionmaking regarding AF treatment, and (2) their perceptions of efforts to involve patients in the treatment decisions. Methods: Ten cardiologists were interviewed in four Swedish hospitals. A qualitative content analysis was performed on the interview data. Results: Cardiologists’ perceptions of patient involvement in treatment decisions are framed in terms of (1) ideology, (2) experience, and (3) responsibility. Conclusion: By taking into account patients’ feelings in the consultations, and by actively encouraging patients to be involved, the cardiologists contributed to patient involvement. Practice Implications: One key to improving compliance with legislation aimed at increasing patient involvement in treatment decisions could lie in paying attention to physician–patient communication and the conditions for patient involvement in decision-making about treatment.

scholarly journals Understanding Behavioral Intent to Participate in Shared Decision-making in Medically Uncertain Situations

2012 ◽  
Vol 51 (04) ◽  
pp. 301-308 ◽  
Author(s):  
K. Dunn ◽  
J. Zhang ◽  
C. E. Hsu ◽  
J. H. Holmes ◽  
R. M. Maffei
Keyword(s):  
Decision Making ◽  
Content Analysis ◽  
Shared Decision Making ◽  
Information Seeking ◽  
Health Informatics ◽  
Qualitative Content Analysis ◽  
Shared Decision ◽  
Behavioral Intent ◽  
Patient Interview ◽  
Medical Uncertainty

SummaryObjective: This article describes the process undertaken to identify and validate behavioral and normative beliefs and behavioral intent based on the Theory of Reasoned Action (TRA) and applied to men between the ages of 45 and 70 in the context of their participation in shared decision-making (SDM) in medically uncertain situations. This article also discusses the preliminary results of the aforementioned processes and explores potential future uses of this information that may facilitate greater understanding, efficiency and effectiveness of clinician-patient consultations.Materials and Methods: Twenty-five male subjects from the Philadelphia community participated in this study. Individual semi-structure patient interviews were conducted until data saturation was reached. Based on their review of the patient interview transcripts, researchers conducted a qualitative content analysis to identify prevalent themes and, subsequently, create a category framework. Qualitative indicators were used to evaluate respondents’ experiences, beliefs, and behavioral intent relative to participation in shared decision-making during medical uncertainty.Results: Based on the themes uncovered through the content analysis, a category framework was developed to facilitate understanding and increase the accuracy of predictions related to an individual’s behavioral intent to participate in shared decision-making in medical uncertainty. The emerged themes included past experience with medical uncertainty, individual personality, and the relationship between the patient and his physician. The resulting three main framework categories include 1) an individual’s Foundation for the concept of medical uncertainty, 2) how the individual Copes with medical uncertainty, and 3) the individual’s Behavioral Intent to seek information and participate in shared decision-making during times of medically uncertain situations.Discussion: The theme of Coping (with uncertainty) emerged as a particularly critical behavior/characteristic amongst the subjects. By understanding a subject’s disposition with regard to coping, researchers were better able to make connections between a subject’s prior experiences, their knowledge seeking activities, and their intent to participate in SDM. Despite having information and social support, the subjects still had to cope with the idea of uncertainty before determining how to proceed with regard to shared decision-making. In addition, the coping category reinforced the importance of information seeking behaviors and preferences for shared decision-making.Conclusions: This study applies and extends the field of behavioral and health informatics to assist medical practice and decision-making in situations of medical uncertainty. More specifically, this study led to the development of a category framework that facilitates the identification of an individual’s needs and motivational factors with regard to their intent to participate in shared decision-making in situations of medical uncertainty.

scholarly journals Developing a Shared Decision-Making Model for Diabetic Patients: A Qualitative Study

2021 ◽  
Vol 10 ◽  
pp. e1735
Author(s):  
Khorshid Vaskouei Eshkevarei ◽  
Kamran Hajinabi ◽  
Leila Riahi ◽  
Mohammadreza Maleki
Keyword(s):  
Decision Making ◽  
Content Analysis ◽  
Comparative Study ◽  
Shared Decision Making ◽  
Qualitative Content Analysis ◽  
Health Sector ◽  
Diabetic Patients ◽  
Shared Decision ◽  
The Comparative Study ◽  
Decision Making Model

Background: Patient participation in healthcare leads to increased satisfaction and trust, reduction of anxiety, and a better understanding of patients’ needs. The components of shared decision-making (SDM) are well documented in the literature. The purpose of this study was to design an SDM model for diabetic patients. Materials and Methods: This qualitative content analysis study was performed in three steps. First, a descriptive comparative study was conducted using the widely-used George Brady method. Next, the perceptions of participants (both physicians and patients) were collected via interview and in focus group discussions (FGDs). Content analysis was used to categorize the comments made by participants. In the final step, the model of SDM for diabetic patients was designed based on expert panel discussions. Results: Twelve components were extracted from the comparative study. Two themes and six sub-themes were extracted from data resulting from physicians’ interviews, and two themes and ten sub-themes were extracted from data resulting from the FGDs involving patients. The model of SDM for diabetic patients was designed in light of three concepts; practitioners’ behavior, participatory decision-making process, and patients’ autonomy. Conclusion: This model was valuable because it recognizes the process of SDM in the context of Iran. The model’s main purpose was to help choose optimum strategies for the care of diabetic patients within the health sector. [GMJ.2021;10:e1735]

Use of an Atrial Fibrillation Medication Decision Aid Improves Knowledge and Process for Decision Making (Preprint)

2018 ◽  
Author(s):  
Molly Beinfeld ◽  
Suzanne Brodney ◽  
Michael Barry ◽  
Erika Poole ◽  
Adam Kunin
Keyword(s):  
Atrial Fibrillation ◽  
Decision Making ◽  
Shared Decision Making ◽  
Anticoagulant Therapy ◽  
Decision Aid ◽  
Response Rate ◽  
Intervention Group ◽  
Shared Decision ◽  
Community Based ◽  
Baseline Group

BACKGROUND A rural community-based Cardiology practice implemented shared decision making supported by an evidence-based decision aid booklet to improve the quality of anticoagulant therapy decisions in patients with atrial fibrillation. OBJECTIVE To develop a practical workflow for implementation of an anticoagulant therapy decision aid and to assess the impact on patients’ knowledge and process for anticoagulant medication decision making. METHODS The organization surveyed all patients with atrial fibrillation being seen at Copley Hospital to establish a baseline level of knowledge, certainty about the decision and process for decision making. The intervention surveys included the same knowledge, certainty, process and demographic questions as the baseline surveys, but also included questions asking for feedback on the decision aid booklet. Stroke risk scores (CHA2DS2-VASc score) were calculated by Copley staff for both groups using EMR data. RESULTS We received 46 completed surveys in the baseline group (64% response rate) and 50 surveys in the intervention group (72% response rate). The intervention group had higher knowledge score than the baseline group (3.6 out of 4 correct answers vs 3.1, p=0.036) and Decision Process Score (2.89 out of 4 vs 2.09, p=0.0023) but similar scores on the SURE scale (3.12 out of 4 vs 3.17, p=0.79). Knowledge and Process score differences were sustained even after adjusting for co-variates in stepwise linear regression analyses. Patients with high school or lower education appeared to benefit the most from shared decision making, as demonstrated by their knowledge scores. CONCLUSIONS It is feasible and practical to implement shared decision making supported by decision aids in a community-based Cardiology practice. Shared decision making can improve knowledge and process for decision making for patients with atrial fibrillation. CLINICALTRIAL None

scholarly journals Measurement issues of shared decision making in mental health: challenges and opportunities

2017 ◽  
Vol 22 (3) ◽  
pp. 214-232 ◽  
Author(s):  
Lilisbeth Perestelo-Perez ◽  
Amado Rivero-Santana ◽  
Yolanda Alvarez-Perez ◽  
Yaara Zisman-Ilani ◽  
Emma Kaminskiy ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Decision Making ◽  
Mental Health Care ◽  
Shared Decision Making ◽  
Self Report ◽  
Psychometric Validation ◽  
Shared Decision ◽  
Deliberative Process ◽  
Content Type

Purpose Shared decision making (SDM) is a model of health care in which patients are involved in the decision-making process about their treatment, considering their preferences and concerns in a deliberative process with the health care provider. Many existing instruments assess the antecedents, process, or the outcomes of SDM. The purpose of this paper is to identify the SDM-related measures applied in a mental health context. Design/methodology/approach The authors performed a systematic review in several electronic databases from 1990 to October 2016. Studies that assessed quantitatively one or more constructs related to SDM (antecedents, process, and outcomes) in the field of mental health were included. Findings The authors included 87 studies that applied 48 measures on distinct SDM constructs. A large majority of them have been developed in the field of physical diseases and adapted or directly applied in the mental health context. The most evaluated construct is the SDM process in consultation, mainly by patients’ self-report but also by external observer measures, followed by the patients’ preferences for involvement in decision making. The most applied instrument was the Autonomy Preference Index, followed by the Observing Patient Involvement in Decision Making (OPTION) and the Control Preferences Scale (CPS). The psychometric validation in mental health samples of the instruments identified is scarce. Research limitations/implications The bibliographic search is comprehensive, but could not be completely exhaustive. Effort should be invested in the development of new SDM for mental health tools that will reflect the complexity and specific features of mental health care. Originality/value The authors highlight several limitations and challenges for the measurement of SDM in mental health care.

Patient Involvement in Anesthesia Decision-making: A Qualitative Study of Knee Arthroplasty

2021 ◽  
Author(s):  
Veena Graff ◽  
Justin T. Clapp ◽  
Sarah J. Heins ◽  
Jamison J. Chung ◽  
Madhavi Muralidharan ◽  
...  
Keyword(s):  
Decision Making ◽  
Qualitative Study ◽  
Shared Decision Making ◽  
Knee Arthroplasty ◽  
Patient Involvement ◽  
Medical Center ◽  
Academic Medical Center ◽  
Shared Decision ◽  
Structured Interviews ◽  
Primary Knee Arthroplasty

Background Calls to better involve patients in decisions about anesthesia—e.g., through shared decision-making—are intensifying. However, several features of anesthesia consultation make it unclear how patients should participate in decisions. Evaluating the feasibility and desirability of carrying out shared decision-making in anesthesia requires better understanding of preoperative conversations. The objective of this qualitative study was to characterize how preoperative consultations for primary knee arthroplasty arrived at decisions about primary anesthesia. Methods This focused ethnography was performed at a U.S. academic medical center. The authors audio-recorded consultations of 36 primary knee arthroplasty patients with eight anesthesiologists. Patients and anesthesiologists also participated in semi-structured interviews. Consultation and interview transcripts were coded in an iterative process to develop an explanation of how anesthesiologists and patients made decisions about primary anesthesia. Results The authors found variation across accounts of anesthesiologists and patients as to whether the consultation was a collaborative decision-making scenario or simply meant to inform patients. Consultations displayed a number of decision-making patterns, from the anesthesiologist not disclosing options to the anesthesiologist strictly adhering to a position of equipoise; however, most consultations fell between these poles, with the anesthesiologist presenting options, recommending one, and persuading hesitant patients to accept it. Anesthesiologists made patients feel more comfortable with their proposed approach through extensive comparisons to more familiar experiences. Conclusions Anesthesia consultations are multifaceted encounters that serve several functions. In some cases, the involvement of patients in determining the anesthetic approach might not be the most important of these functions. Broad consideration should be given to both the applicability and feasibility of shared decision-making in anesthesia consultation. The potential benefits of interventions designed to enhance patient involvement in decision-making should be weighed against their potential to pull anesthesiologists’ attention away from important humanistic aspects of communication such as decreasing patients’ anxiety. Editor’s Perspective What We Already Know about This Topic What This Article Tells Us That Is New

Usability and Perceived Usefulness of the AFib 2gether™ Mobile App in a Clinical Setting: Single-Arm Intervention Study (Preprint)

2021 ◽  
Author(s):  
Alok Kapoor ◽  
Anna Hayes ◽  
Jay Patel ◽  
Harshal Patel ◽  
Andreza Andrade ◽  
...  
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Patient Involvement ◽  
Rating Scale ◽  
Mobile App ◽  
Perceived Usefulness ◽  
Controlled Study ◽  
Average Score ◽  
Shared Decision ◽  
Item Questionnaire

BACKGROUND Although the American Heart Association and other professional societies have recommended shared decision-making as a way for patients with atrial fibrillation or flutter (AF) to reach informed decisions about using anticoagulation (AC), the best method of facilitating shared decision-making remains uncertain. OBJECTIVE The aim of this study is to assess the AFib 2gether™ mobile app for usability, perceived usefulness, and extent and nature of shared decision making that occurred for clinical encounters between patients with AF and their cardiology providers in which the app was used. METHODS We identified patients coming to see a cardiology provider from October 2019 until May 2020. We measured usability from patients and providers through the mobile app rating scale (MARS). From the eight items of the MARS, we report the average score (out of 5) for domains of functionality, aesthetics, and overall quality. We administered a three-item questionnaire to patients relating to their perceived usefulness and a separate three-item questionnaire to providers to measure their perceived usefulness. We performed a chart review to track AC starts occurring within 6 months of the index visit. We also audio-recorded a subset of encounters to identify evidence of shared decision-making. RESULTS We facilitated shared decision-making visits for 37 patients seeing 13 providers. In terms of usability, patients’ ratings of functionality, aesthetics, and overall quality were (average ± standard deviation): 4.51 ± 0.61, 4.26 ± 0.51, and 4.24 ± 0.89, respectively. In terms of usefulness, 40% of patients agreed that the app improved their knowledge regarding AC and 62% agreed that the app helped clarify to their provider, their preferences regarding AC. Among providers, 79% agreed that the app helped clarify their patients’ preferences; 82% agreed that the app saved them time; and 59% agreed that the app helped their patients make decisions about AC. Additionally, 12 patients started AC after their shared decision-making visits. We audio-recorded 25 encounters. Of these encounters, 84% included mention of AC for AF, 44% included discussion of multiple options for AC, 72% included a provider recommendation for AC, and 48% included evidence of patient involvement in the discussion. CONCLUSIONS Patients and providers rated the app with high usability and perceived usefulness. Moreover, a third of patients began AC and in nearly ½ the encounters, there was evidence of patient involvement in decision-making. In the future, we plan to study the effect of the app in a larger sample and with a controlled study design. CLINICALTRIAL ClinicalTrials.gov NCT04118270. INTERNATIONAL REGISTERED REPORT RR2-21986

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