The perspectives of healthcare professionals in mental health settings on stigma and recovery - A qualitative inquiry

Identifying and Exploring Jean Watson's Theory of Human Caring in Nursing Approaches for Patients with Psychoactive Substance Dependence in Medical and Surgical Acute Wards

Patients with substance use disorders may view healthcare professionals as capable of supporting them through their suffering and experience. Although numerous studies have focused on the roles, approaches, and attitudes of healthcare professionals, there is a lack of information on the nursing perspective. This study aims to explore the experiences and nursing approaches towards patients with psychoactive substance dependence admitted to an Italian acute hospital ward. A qualitative phenomenological study was conducted. Data were collected using semi-structured face-to-face interviews. The interviews were transcribed, read thoroughly, and analysed. Fifteen nurses were interviewed. Six main themes were extracted: (1) origin context, (2) participants' personal thoughts, (3) type of approach provided, (4) school education received on the topic, (5) effectiveness of rehabilitative therapy, and (6) methods that can improve nursing care. The findings suggest that most respondents experience stigma and discrimination when providing care to these patients. In response to the results obtained, models have been suggested, such as Jean Watson's Human Caring Theory, which shows how practising a holistic approach based on empathy and active listening can improve the relationship between nurses and patients. Furthermore, to eliminate stereotypes, it would be appropriate to act on the university education of nurses. This study was not registered.

Characteristics of quality improvement interventions to improve physical healthcare in mental health settings: a scoping review protocol

INTRODUCTION

Mental health concerns globally impact millions of people, resulting in significant financial impact and adverse health outcomes. People living with mental health concerns are at higher risk of developing physical health issues, which can lead to a shortened life expectancy. Barriers to physical healthcare, such as limited service capacity, low help seeking and stigma, contribute to health disadvantage. Quality improvement (QI) interventions can address these challenges by addressing staff-level and service-level factors to improve the focus on physical healthcare in mental health settings. The aim of this scoping review is to describe studies of QI interventions to improve physical healthcare in mental health settings.

METHODS AND ANALYSIS

The proposed scoping review will be conducted in accordance with guidance for scoping reviews from the Joanna Briggs Institute Manual and in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. A systematic review search for peer-reviewed and published articles will be conducted across eight databases: PubMed, MEDLINE (Ovid), Web of Science, CINAHL (EBSCOhost), ProQuest Central, PsycINFO (Ovid), Scopus and Embase (Elsevier). Two independent reviewers will screen the titles, abstracts and full text using Covidence. Any disagreement will be resolved through discussion or with a third reviewer. Data collection will be facilitated using Microsoft Excel. The details of included studies will be extracted by two authors independently.

ETHICS AND DISSEMINATION

No ethical approval is required for the scoping review. The results of this review will be presented at conferences and published in a peer-reviewed scientific journal. This review will also inform the development of a QI strategy to influence mental health staff practices in the provision of physical healthcare in Australian mental health settings.

A qualitative enquiry on the impact of mental illness stigma on caregiving role and experiences in Singapore

Introduction

Given that mental illness stigma is a common occurrence amongst people with mental illness and caregivers (CGs) can be a potential victim of stigma themselves, there is a need to examine caregivers' perspective on the phenomenon. This study is part of a larger study which aims to qualitatively examine the concept of mental illness stigma amongst different stakeholders in Singapore.

Methods

Focus group discussions (FGDs) were conducted amongst 21 informal caregivers to explore the experience of stigma encountered by them and their care recipients, and how it may implicate their caregiving experience. Both inductive and deductive thematic analyses were employed to analyze the data.

Results

Three overarching themes of stigma encounters that may have implication on caregiving experience were identified: 1) Stigma within the family; 2) Structural stigma; and 3) Stigma by association. Experience of stigma within family (e.g., social exclusion and lack of understanding) limits the caregiving supports available to CGs. CGs also took up a mediating role between their care recipients and other family who may hold stigmatizing views. Witnessing their care recipients being subjected to structural disadvantages (e.g., employment, school, and mandatory conscription) can induce emotional stresses amongst CGs and motivate them to protest and seek redress on their behalf. Furthermore, encounters of stigma themselves (e.g., being judged or blamed for their loved one's condition) also led to feelings of guilt and self-blame amongst the CGs.

Discussion

These findings can aid the formulation of interventions in informing CGs on what to expect on their caregiving journey and supporting them in dealing with issues relating to stigma and highlight the importance of anti-stigma efforts in organizational settings such as schools, corporations, and government agencies.

Stigma by association among alcohol and other drug and harm reduction workers: Implications for workplace outcomes

INTRODUCTION

The negative attitudes people hold towards those who use alcohol or other drugs (AOD) can also affect the people who work with this community, leading to lowered productivity and wellbeing. The impact of this stigma by association in the AOD and harm reduction sector is particularly significant because workers may have lived experience of AOD use and identify strongly with their client group. This study aimed to examine how stigma by association among health workers in the AOD/harm reduction sector relates to workplace outcomes. A secondary aim was to explore how lived experience influences experiences of stigma by association.

METHODS

The research used a cross-sectional survey design and data collection occurred in 2023. Australian AOD/harm reduction workers (n = 228) completed an online survey assessing stigma by association as well as various workplace outcomes measures.

RESULTS

Participants who reported experiencing more stigma by association experienced poorer workplace wellbeing, higher burnout and greater intentions to leave the AOD/harm reduction field. Experiences of stigma by association were unrelated to job satisfaction. Additional analyses revealed that participants with lived experience reported higher levels of job satisfaction and lowered intentions to leave the sector, but findings of stigma by association and its impacts on workplace outcomes did not differ from those without lived experience.

DISCUSSION AND CONCLUSIONS

Identifying staff experiences of stigma by association and developing support and advocacy mechanisms to address this is likely to be key to reducing these experiences and ultimately to increasing positive workplace outcomes for AOD and harm reduction staff.

Comparing the Perspectives of Generative AI, Mental Health Experts, and the General Public on Schizophrenia Recovery: Case Vignette Study

Background

The current paradigm in mental health care focuses on clinical recovery and symptom remission. This model's efficacy is influenced by therapist trust in patient recovery potential and the depth of the therapeutic relationship. Schizophrenia is a chronic illness with severe symptoms where the possibility of recovery is a matter of debate. As artificial intelligence (AI) becomes integrated into the health care field, it is important to examine its ability to assess recovery potential in major psychiatric disorders such as schizophrenia.

Objective

This study aimed to evaluate the ability of large language models (LLMs) in comparison to mental health professionals to assess the prognosis of schizophrenia with and without professional treatment and the long-term positive and negative outcomes.

Methods

Vignettes were inputted into LLMs interfaces and assessed 10 times by 4 AI platforms: ChatGPT-3.5, ChatGPT-4, Google Bard, and Claude. A total of 80 evaluations were collected and benchmarked against existing norms to analyze what mental health professionals (general practitioners, psychiatrists, clinical psychologists, and mental health nurses) and the general public think about schizophrenia prognosis with and without professional treatment and the positive and negative long-term outcomes of schizophrenia interventions.

Results

For the prognosis of schizophrenia with professional treatment, ChatGPT-3.5 was notably pessimistic, whereas ChatGPT-4, Claude, and Bard aligned with professional views but differed from the general public. All LLMs believed untreated schizophrenia would remain static or worsen without professional treatment. For long-term outcomes, ChatGPT-4 and Claude predicted more negative outcomes than Bard and ChatGPT-3.5. For positive outcomes, ChatGPT-3.5 and Claude were more pessimistic than Bard and ChatGPT-4.

Conclusions

The finding that 3 out of the 4 LLMs aligned closely with the predictions of mental health professionals when considering the "with treatment" condition is a demonstration of the potential of this technology in providing professional clinical prognosis. The pessimistic assessment of ChatGPT-3.5 is a disturbing finding since it may reduce the motivation of patients to start or persist with treatment for schizophrenia. Overall, although LLMs hold promise in augmenting health care, their application necessitates rigorous validation and a harmonious blend with human expertise.

Assessing prognosis in depression: comparing perspectives of AI models, mental health professionals and the general public

BACKGROUND

Artificial intelligence (AI) has rapidly permeated various sectors, including healthcare, highlighting its potential to facilitate mental health assessments. This study explores the underexplored domain of AI's role in evaluating prognosis and long-term outcomes in depressive disorders, offering insights into how AI large language models (LLMs) compare with human perspectives.

METHODS

Using case vignettes, we conducted a comparative analysis involving different LLMs (ChatGPT-3.5, ChatGPT-4, Claude and Bard), mental health professionals (general practitioners, psychiatrists, clinical psychologists and mental health nurses), and the general public that reported previously. We evaluate the LLMs ability to generate prognosis, anticipated outcomes with and without professional intervention, and envisioned long-term positive and negative consequences for individuals with depression.

RESULTS

In most of the examined cases, the four LLMs consistently identified depression as the primary diagnosis and recommended a combined treatment of psychotherapy and antidepressant medication. ChatGPT-3.5 exhibited a significantly pessimistic prognosis distinct from other LLMs, professionals and the public. ChatGPT-4, Claude and Bard aligned closely with mental health professionals and the general public perspectives, all of whom anticipated no improvement or worsening without professional help. Regarding long-term outcomes, ChatGPT 3.5, Claude and Bard consistently projected significantly fewer negative long-term consequences of treatment than ChatGPT-4.

CONCLUSIONS

This study underscores the potential of AI to complement the expertise of mental health professionals and promote a collaborative paradigm in mental healthcare. The observation that three of the four LLMs closely mirrored the anticipations of mental health experts in scenarios involving treatment underscores the technology's prospective value in offering professional clinical forecasts. The pessimistic outlook presented by ChatGPT 3.5 is concerning, as it could potentially diminish patients' drive to initiate or continue depression therapy. In summary, although LLMs show potential in enhancing healthcare services, their utilisation requires thorough verification and a seamless integration with human judgement and skills.

Barriers and enablers to access and utilization of mental health care services across Southeast Asia: A preliminary scoping review

While the importance of mental health and its impact on overall health and well-being has been widely recognized, there continue to be ongoing barriers to accessing mental health services. This is particularly poignant in countries in Southeast Asia (SEA) where there may be further stigma in accessing mental health services. As no reviews have been undertaken on this topic, this review aims to outline the barriers and enablers to access and utilization of mental health care services in SEA. Searches were undertaken in commercially produced and gray literature sources. Two independent reviewers screened the results. The data were then independently extracted, which was then collated and synthesized, using the Health Belief Model (HMB) as a framework. Twelve studies were included in the review. Under the HBM, barriers were grouped into: stigma, poor health literacy, internalized reasons, cultural beliefs, lack of training of health professionals, quality of service, and poor distribution of resources. Enablers included: social support, outreach services, structural stigma, self-awareness, resources and information, accessibility and affordability, and positive attitudes and beliefs about health professionals. Those accessing mental health care in SEA are confronted by complex barriers and few enablers. Ongoing stigma and a distinct lack of resources pose the greatest challenges, which are even more amplified for those in rural areas and minority groups. A multifaceted strategy that improves the structures, processes, and outcomes of mental health is required within these communities.

Healthcare Professionals' Perspectives of Nonsurgical Care of Older Inpatients with Class II or III Obesity and Comorbidities: A Qualitative Study

Background

Older people with Class II or III obesity and comorbidities experience complex care needs with frequent hospital admissions. In 2019/20 the National Health Service in England reported a 17% increase in hospital admissions of patients with obesity compared to 2018/19. Gaps in care for this population have been identified.

Purpose

The purpose of this study was to understand the experiences and perspectives of healthcare professionals delivering non-surgical care to older people with Classes II or III obesity admitted to a tertiary care hospital.

Methods

Healthcare professionals delivering non-surgical care to older people admitted with Class II or III obesity with comorbidities were recruited from an Australian tertiary referral hospital. Qualitative semi-structured interviews were conducted with 24 healthcare professionals from seven disciplines between August and December 2019. The interviews were audio-recorded, transcribed, and reviewed by participants for accuracy. Thematic inductive data analysis was deductively mapped to the Theoretical Domains Framework (TDF).

Results

Four major themes of Barriers, Facilitators, Current Practice, and Recommendations and 11 subthemes were identified and mapped to nine domains in the TDF. The Barriers subtheme identified perceived patient related factors, health system issues, and provider issues, while the Facilitators subtheme included a patient centred approach, knowledge, and resources in the subacute setting. The major Current Practice theme explored factors influencing clinical management, and the Recommendations subthemes included engaging patients, access to quality care, education and support, and obesity as a chronic disease.

Conclusion

This novel application of the TDF provided broad insights related to the barriers and facilitators in delivering non-surgical care to this hospital population, from the perspective of healthcare professionals. Understanding how these barriers interact can provide strategies to influence behaviour change and assist in the development of a holistic multidisciplinary model of care.

Help! Caring for People With Mental Health Problems in the Emergency Department: A Qualitative Study

INTRODUCTION

After coronavirus disease 2019, there has been an increase in patients in the emergency department with mental health conditions. They are usually received by professionals who are not specialized in mental health. This study aimed to describe nursing staff's experiences in the emergency department, in the care they provide to people with mental health problems who often feel stigmatized by society and also in health care settings.

METHODS

This is a descriptive qualitative study with a phenomenological approach. The participants were nurses from the Spanish Health Service from the emergency department of the Community of Madrid hospitals. Recruitment was performed by convenience sampling snowball sampling until data satruation was met. Data were collected through semistructured interviews conducted during January and February 2022.

RESULTS

The exhaustive and detailed analysis of the nurses' interviews made it possible to extract 3 main categories-health care, psychiatric patient, and work environment-with 10 subcategories.

DISCUSSION

The main study findings were the need to train emergency nurses to be prepared to care for people who experience mental health concerns including bias education and the need for implementation of standardized protocols. Emergency nurses never doubted their ability to care for people experiencing mental health disorders. Still, they recognized that they needed specialized professionals' support at certain critical moments.

Mental health professionals' perspectives regarding how recovery is conceptualized in Singapore: a constructivist grounded theory study

BACKGROUND

Mental health recovery has shifted from clinical conceptualizations to more personal ones. However, much of the lived experience literature has focused on people living with mental health conditions, and less attention has been placed on various mental health professionals, especially in Asian countries, where the personal recovery literature base is in its nascent stage.

AIM

We sought to contribute to a growing body of work by exploring recovery from the lens of different mental health professionals in Singapore.

METHODS

Mental health professionals in Singapore were invited to participate in an online interview through social media. The recordings were transcribed verbatim and analyzed using a constructive grounded theory approach.

RESULTS

Nineteen participants were interviewed. A single core category, "living in society once more", and three categories, "An ongoing process", "Regaining ability to function in society", and "A normality report card" were identified from our data.

CONCLUSIONS

Recovery within the Singapore mental health professional perspective focuses on helping individuals return to society and function productively while considering existing societal norms such as the highly competitive and pragmatic culture in Singapore. Future research can explore in greater depth the impact of these factors on the recovery process.

Effectiveness of Augmented and Virtual Reality-Based Interventions in Improving Knowledge, Attitudes, Empathy and Stigma Regarding People with Mental Illnesses-A Scoping Review

Interventions adopting augmented and virtual reality (AR/VR) modalities allow participants to explore and experience realistic scenarios, making them useful psycho-educational tools for mental illnesses. This scoping review aims to evaluate the effectiveness of AR/VR interventions in improving (1) knowledge, (2) attitudes, (3) empathy and (4) stigma regarding people with mental illnesses. Literature on published studies in English up till April 2022 was searched within several databases. Sixteen articles were included. The majority of studies were conducted in the West (93.8%), within undergraduates (68.8%) but also amongst high school students, patients, caregivers, public including online community, and covered conditions including psychotic illnesses, dementia, anxiety and depression. A preponderance of these included studies which employed AR/VR based interventions observed improvements in knowledge (66.7%), attitudes (62.5%), empathy (100%) and reduction of stigma (71.4%) pertaining to people with mental illnesses. In the context of relatively limited studies, extant AR/VR based interventions could potentially improve knowledge, attitudes, empathy and decrease stigma regarding people with mental illness. Further research needs to be conducted in larger and more diverse samples to investigate the relatively beneficial effects of different AR/VR modalities and the durability of observed improvements of relevant outcomes of interests over time for different mental conditions.