scholarly journals Qualitative analysis of US Department of veterans affairs mental health clinician perspectives on patient-centered care

2016 ◽  
Vol 28 (3) ◽  
pp. 355-362 ◽  
Author(s):  
Steven K. Dobscha ◽  
Risa Cromer ◽  
Aysha Crain ◽  
Lauren M. Denneson
Author(s):  
Gary Epstein-Lubow ◽  
Elizabeth Tobin-Tyler

Providing patient-centered care for an elderly individual with a mental health condition requires clinicians and family caregivers to work together. This chapter provides a description of a mental health treatment model, the triadic model of caregiving, in which service delivery for a patient includes clinicians communicating with family members or caregivers. Description of the mental health workforce to support patient-centered care is provided along with laws and policies that support family caregivers in their aid of patients. The associated legal responsibilities and ethical issues related to working with patients who have impaired decision-making capacity due to a mental health or substance use condition are explained, including capacity, competence, informed consent, advance care planning, guardianship, fiduciary responsibilities, and ethical concerns.


2020 ◽  
Author(s):  
Francois Durand ◽  
Marie-Josée Fleury

Abstract Background: The successful combination of interprofessional collaboration in multidisciplinary teams with patient-centered care is necessary when it comes to delivering complex mental health services. Yet collaboration is challenging and patient-centered care is intricate to manage. This study examines correlates of patient-centered care such as team adaptivity and proactivity, collaboration, belief in interprofessional collaboration and informational role self-efficacy in multidisciplinary mental health teams.Method: A cross-sectional multilevel survey design was used, based on self-administered bilingual validated questionnaires. Participants (N=314) were mental health professionals and managers working in public primary care or specialized mental health services, in inpatient or outpatient settings. Results: This study showed that belief in interprofessional collaboration’s relationship with patient-centered perceptions is increased in teams with high collaboration. Collaboration is also found as a mediator, representing a process by which team adaptive and proactive behaviors are transformed into positive patient-centered perceptions.Conclusions: Our results were in line with recent studies on team processes establishing that collaboration is a key component in multilevel examinations of predictors of patient-centered care. In terms of practice, our study showed that multidisciplinary teams should know that working hard on collaboration is an answer to the complexity of patient-centered care. Collaboration is related to the teams’ ability to respond to its challenges. It is also related to individuals’ beliefs central to the delivery of interprofessional care.


2020 ◽  
Author(s):  
Francois Durand ◽  
Marie-Josée Fleury

Abstract Background: The combination of interprofessional collaboration in teams and patient-centered care is a necessary amalgamation when it comes to delivering complex mental healthy care and services. Yet collaboration is challenging and patient-centered care is intricate to manage. This study examines the impact of predictors of patient-centered care such as team adaptivity and proactivity, collaboration, belief in interprofessional collaboration, informal role self-efficacy in multidisciplinary mental health teams.Method: Cross-sectional multilevel design using self-administered bilingual validated questionnaires.Results: This study showed that belief in interprofessional collaboration’s impact on patient-centered perceptions is increased in teams with high collaboration. We also showed that collaboration is a mediator; that is, a process by which team adaptive and proactive behaviors are transformed into positive patient-centered perceptions.Conclusions: In terms of research our results are in line with recent theorising on team processes and specifically established collaboration as key in a multilevel examination of predictors of patient-centered care perceptions. In terms of practice, we showed that multidisciplinary teams should know that working hard on collaboration as an answer to the complexity of patient-centered care impacts the teams’ ability to respond to its challenges but also impacts individuals’ beliefs central to the delivery of interprofessional care.


2012 ◽  
Vol 21 (6) ◽  
pp. 410-418 ◽  
Author(s):  
C. G. Slatore ◽  
L. Hansen ◽  
L. Ganzini ◽  
N. Press ◽  
M. L. Osborne ◽  
...  

2015 ◽  
Vol 24 (6) ◽  
pp. 538-546 ◽  
Author(s):  
Stuart J. Lee ◽  
Phillipa Thomas ◽  
Chantelle Doulis ◽  
Doug Bowles ◽  
Kathryn Henderson ◽  
...  

10.2196/13914 ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 13914
Author(s):  
Maryam Zolnoori ◽  
Joyce E Balls-Berry ◽  
Tabetha A Brockman ◽  
Christi A Patten ◽  
Ming Huang ◽  
...  

Background Patient narrative data in online health care forums (communities) are receiving increasing attention from the scientific community for implementing patient-centered care. Natural language processing (NLP) methods are gaining more and more attention because of the enormous data volume. However, state-of-the-art NLP still cannot meet the need of high-resolution analysis of patients’ narratives. Manual qualitative analysis still plays a pivotal role in answering complicated research questions from analyzing patient narratives. Objective This study aimed to develop a systematic framework for qualitative analysis of patient-generated narratives in online health care forums. Methods Our systematic framework consists of 4 phases: (1) data collection, (2) data preparation, (3) content analysis, and (4) interpretation of the results. Data collection and data preparation phases are constructed based on text mining methods for identifying appropriate online health forums for data collection, differentiating posts of patients from other stakeholders, protecting patients’ privacy, sampling, and choosing the unit of analysis. Content analysis phase is built on the framework method, which facilitates and accelerates the identification of patterns and themes by an interdisciplinary research team. In the end, the focus of interpretation of the results phase is to measure the data quality and interpret the findings regarding the dimensions and aspects of patients’ experiences and concerns in their original contexts. Results We demonstrated the usability of the proposed systematic framework using 2 case studies: one on determining factors affecting patients’ attitudes toward antidepressants and another on identifying the disease management strategies in patient with diabetes facing financial difficulties. The framework provides a clear step-by-step process for systematic content analysis of patient narratives and produces high-quality structured results that can be used for describing patterns or regularities in patients’ experiences, generating and testing hypotheses, and identifying areas of improvement in the health care systems. Conclusions The systematic framework is a rigorous and standardized method for qualitative analysis of patient narratives. Findings obtained through such a process indicate authentic dimensions and aspects of patient experiences and shed light on patients’ concerns, needs, preferences, and values, which are the core of patient-centered care. International Registered Report Identifier (IRRID) RR1-10.2196/13914


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