How Do Health Professionals Maintain Compassion Over Time? Insights From a Study of Compassion in Health

Having a More Compassionate Doctor Does Not Mean Patients Will Feel More Cared for: An Empirical Study

BACKGROUND

Compassion is central to healthcare. It is valued by both patients and physicians and predicts better outcomes for patients, physicians, and healthcare organisations. Whilst most studies to date have focused on providers' expression of compassion, the current report was designed to focus on the patient, specifically identifying patient and physician variables predicting the patient experience of compassion from physicians.

OBJECTIVES

To identify the predictors of patient experience of compassion.

DESIGN

An anonymous cross-sectional online survey study conducted in Aotearoa New Zealand.

PARTICIPANTS

One thousand sixty-five patients were recruited from the community, followed by the recruitment of 219 physicians based on patients' referrals.

MAIN MEASURE

Patient experience of physician compassion.

KEY RESULTS

Patient-level predictors only explained 1.7% and physician-level 2.9% of the variance in patient experience of compassion (PEC). Patient age (β = 0.08, p < 0.05) and being diagnosed with serious chronic illness (β = 0.08, p < 0.05) predicted reports of greater compassion from physicians, whereas better self-reported health (β = - 0.12, p < 0.01) predicted less. Patients reported experiencing greater compassion when physicians were younger (β = - 0.15, p < 0.05), but physician trait compassion was unrelated (p > 0.05) and reports of physician behaviours that should signal compassion were only marginally significant (p = 0.06).

CONCLUSIONS

Our data highlight how little is known about the patient experience of compassion and imply that the patient experience of compassion may or may not be related to physician compassion. Consequently, we need to supplement our ongoing study of the origins and determinants of compassion in healthcare providers with an equally systematic, rigorous, and empirically based study of the patient experience of compassion from providers.

Respectful Maternity Care During Facility-Based Childbirth and Its Predictors in Public Health Facilities in Central Ethiopia: A Multidimensional Communication as a Proximal Predictor: A Cross-Sectional Study

Background

The provision of compassionate, respectful, and caring healthcare is an essential component of health workforces because it builds deep relationships between healthcare practitioners and mothers. However, respectful maternity care has received less attention in practice, and existing research is inconclusive as well. Therefore, this study is aimed to assess respectful maternity care and its predictors during childbirth in Siltie Zone, Ethiopia.

Methods

We conducted a cross-sectional study on 374 mothers from May 1 to 30, 2021. A systematic random sampling technique was used to select the study participants. A structured questionnaire was used to collect the data. The data was entered into Epi Data 3.1, and the analysis was done using SPSS 24.0. Binary logistic regression was employed to identify candidate variables for multivariable logistic regression. In the multivariable analysis, variables having a p-value of less than 0.05 were taken as measures of the degree of association between independent variables and the outcome variable.

Results

The result of the study revealed that the overall prevalence of respectful maternal care is 41.0%. Rapport built through communication during antenatal care (AOR = 6.32, 95% CI: 2.81, 16.67), pre-communication of husband and wife (AOR = 2.45, 95% CI: 2.01, 13.69), clearly known communication of family with mother (AOR = 0.35, 95% CI: 0.11, 0.69), caring culturally and appropriately (AOR = 7.45, 95% CI: 2.88, 19.28), perceived length of the stay during labor (AOR = 1.36, 95% CI: 0.230, 0.551), number of ANC received (AOR = 1.98, 95% CI: 0.037, 0.260), and number of deliveries (AOR = 1.36, 95% CI: 0.230, 0.551) were independent predictors of the outcome variable.

Conclusion

The study revealed that respectful maternity care was provided very low. Multidimensional communication with the mother was identified as a significant proximal predictor of respectful maternity care. The study suggests that stakeholders should improve respectful maternity care through the provision of professional health training and create guidelines to identify and address challenges to its practice.

Compassion in health professionals: Development and validation of the Capacity for Compassion Scale

BACKGROUND

Health professionals witness pain and suffering when they care for sick people and their families. Compassion is a necessary quality in their work as it combines the will to help, alleviate suffering and promote the well-being of both the people they are attending and the professionals themselves. The aim of the study was to design and evaluate the psychometric properties of the Capacity for Compassion Scale (CCS).

DESIGN

A quantitative, descriptive and cross-sectional study was carried out to evaluate the psychometric properties of the scale (reliability, temporal stability, content validity, criterion validity and construct validity).

METHODS

The study was carried out in two phases: pilot study and final validation. The data were collected between April and May 2022. The sample was selected by convenience sampling and was made up of a total of 264 participants, 59 in the pilot phase and 205 in the final validation.

RESULTS

The Capacity for Compassion Scale has been shown to have good psychometric properties in relation to reliability, temporal stability, and content, criterion, and construct validity. Factor analysis showed that there were four subdimensions of the scale: motivation/commitment, presence, shared humanity and self-compassion. The results also indicate that compassionate ability is significantly correlated with age and work experience.

CONCLUSIONS

The Capacity for Compassion Scale shows adequate psychometric properties. This instrument measures the compassion capacity of health professionals, which is a valuable discovery for new lines of research in this field.

IMPACT

Through this scale, low levels of capacity for compassion can be detected that negatively influence the quality of care provided by health professionals. The Capacity for Compassion Scale can therefore contribute to the identification of needs and promote training around compassion for health professionals.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution. WHAT PROBLEM DID THE STUDY ADDRESS?: Compassion in health professionals has positive effects on improving the quality of care, the satisfaction of professionals and the work environment. There are compassion cultivation programmes whose validity has been proven for the development of the dimensions of compassion. There is no specific instrument that measures capacity for compassion in healthcare professionals. WHAT WERE THE MAIN FINDINGS?: A scale is designed to measure capacity for compassion in health professionals. This is the only such scale available up until now. The scale measures four dimensions of compassion: motivation/commitment, presence, shared humanity and self-compassion. WHERE AND ON WHOM WILL THE RESEARCH HAVE AN IMPACT?: The development of specific programmes that can increase the compassion of health professionals with all the benefits that this can bring to health care is encouraged. It will be possible to analyse the effects of training programmes on the cultivation of compassion.

Substantial Increases in Healthcare Students' State Empathy Scores Owing to Participation in a Single Improvisation Session

PURPOSE

To determine whether the 12-item state empathy scale could be modified reliably to measure empathy in healthcare professions students and to detect changes in their empathy owing to a single improvisation (improv) session.

METHODS

Three cohorts of students from two healthcare professions programs (total = 165 students) participated in an improv session. During the session, one of the researchers (BS) tasked the students with several improv activities. Participants' self-reported state empathy scores were assessed at three time points (pre-improv, post-improv, and end of semester) using revised, in-class paper versions of the State Empathy Scale.

RESULTS

The exploratory factor analysis revealed a single factor solution for the revised scale, justifying the creation of an overall state empathy score from the questionnaire. Cronbach's alpha reliability values averaged 0.87. Students' mean empathy scores were higher directly after the improv session than directly prior to the session (p < 0.0001; effect size = r = 0.67, 0.55, and 0.79 for cohorts 1, 2, and 3, respectively).

CONCLUSIONS

These findings show that a single one- or two-hour improv session can foster substantial increases in healthcare professional students' state empathy for one another. Greater healthcare professional empathy and compassion foster better healthcare team cooperation and patient outcomes, so healthcare professionals and their students should engage in such empathy-enhancing activities at regular intervals throughout their training and careers.

Do I care for you more when you really need help? An experimental test of the effect of clinical urgency on compassion in health care

OBJECTIVES

To experimentally investigate whether more urgent patient presentations elicit greater compassion from health care professionals than less urgent, facilitating future research and thinking to address systemic barriers to compassion in health care.

DESIGN

This is a pre-registered online study with an experimental, within-subjects repeated-measure study design. Two clinical vignettes that systematically varied the urgency of patient presentation were utilized. Both vignettes depicted a patient with difficult behaviours typically associated with lower compassion.

METHODS

Health care professionals (doctors, nurses and allied health practitioners) recruited from all 20 District Health Boards across Aotearoa/New Zealand completed two vignettes in a counterbalanced order. Paired-sample t-tests were used to test the effect of the presentation urgency on indices of compassion.

RESULTS

A total of 939 participants completed the vignettes (20% doctors, 47%, nurses and 33% allied health professionals). As expected, participants reported greater care and motivation to help the more urgent patient. However, the more urgent patient was also perceived as less difficult, and exploratory analyses showed that perceived patient difficulty was associated with lower caring and motivation to help, particularly in the less urgent patient.

CONCLUSIONS

This is the first work to experimentally test the relationship between the urgency of patient presentation and compassion in health care. Although the association between urgency and difficulty is complex, our findings are consonant with evolutionary views in which urgent distress elicits greater compassion. A system-wide orientation towards efficiency and urgency may exacerbate this 'bias' which must be addressed to ensure more equitable compassion in health care.

Translating theory into clinical practice: a qualitative study of clinician perspectives implementing whole person care

Whole Person Care (WPC) is an emerging framework that emphasises the clinician's role in empowering patient healing. However, reliably translating a framework's theory into practice is a recognised challenge for clinicians. Observational studies have revealed discrepancies between a clinician's stated values in theory and how these may be implemented in practice. The aim of this qualitative study is to bridge the gap between the theory of WPC and its practical implementation by clinicians. We interviewed a diverse group of 34 clinicians attending the 2017 International Whole Person Care Congress to explore (1) their conceptions of WPC in theory as well as (2) how they monitor their practice in real time. Data were analysed using Grounded Theory Methodology. Preliminary results were presented in the form of a workshop at the 2019 International Whole Person Care Congress to validate our findings with relevant stakeholders. The results revealed a vision of WPC that highlighted themes of the clinician's way of being, seeing the person beyond the disease, and the clinician-patient relationship. Our results demonstrate that clinicians use a range of strategies to monitor their practice in real time. Mindfulness and self-awareness were frequently cited as being crucial to this ability of self-regulating their practice. This study helps establish a unifying framework of WPC based on a diverse range of clinician-reported experiences. More importantly, it sheds light on the range of strategies employed by clinicians who monitor their practice in real time. These collected insights will be of interest to any clinician interested in translating their stated values into their clinical practice more reliably.

Moral barrier to compassion: How perceived badness of sufferers dampens observers' compassionate responses

Compassion has been theorized as a desirable prosocial emotion due to its potential to transcend arbitrary boundaries (e.g., race, physical distance) and motivate us to alleviate the suffering of all human beings. Our paper nevertheless examines a potential moral barrier to compassion--whether and how moral evaluations of the suffering and the sufferer hinder our compassion and prosocial motivation. In four pre-registered studies (total N = 421, within-participant design), we demonstrated that adult U.S. participants withheld their compassion and willingness to help when they perceived moral badness of the sufferer, even when the perceived moral badness did not directly cause the suffering. The effects were found in terms of diverse types of moral judgments, including the sufferers' immoral intention (e.g., harming another; Study 1), bad moral character (e.g., being a dishonest person; Study 2), and even mere associations with groups perceived as deserving of suffering based on moral status (Studies 3-4). Deservedness judgment--how much the sufferer was viewed as deserving the suffering--mediated the effect between moral judgment and compassionate responses. Importantly, participants judged withholding compassion based on moral deservedness as what should be done and what morally good people would do, suggesting that people hold a normative view of the tendency that might make it difficult to overcome. Our findings thus reveal moral judgment as a barrier that prevents us from alleviating the suffering of all human beings.

Working in value-discrepant environments inhibits clinicians' ability to provide compassion and reduces well-being: A cross-sectional study

BACKGROUND

The practice of compassion in healthcare leads to better patient and clinician outcomes. However, compassion in healthcare is increasingly lacking, and the rates of professional burnout are high. Most research to date has focused on individual-level predictors of compassion and burnout. Little is known regarding how organizational factors might impact clinicians' ability to express compassion and well-being. The main study objective was to describe the association between personal and organizational value discrepancies and compassion ability, burnout, job satisfaction, absenteeism and consideration of early retirement among healthcare professionals.

METHODS

More than 1000 practising healthcare professionals (doctors, nurses and allied health professionals) were recruited in Aotearoa/New Zealand. The study was conducted via an online cross-sectional survey and was preregistered on AsPredicted (75407). The main outcome measures were compassionate ability and competence, burnout, job satisfaction and measures of absenteeism and consideration of early retirement.

RESULTS

Perceived discrepancies between personal and organizational values predicted lower compassion ability (B = -0.006, 95% CI [-0.01, -0.00], p < 0.001 and f ²  = 0.05) but not competence (p = 0.24), lower job satisfaction (B = -0.20, 95% CI [-0.23, -0.17], p < 0.001 and f ²  = 0.14), higher burnout (B = 0.02, 95% CI [0.01, 0.03], p < 0.001 and f ²  = 0.06), absenteeism (B = 0.004, 95% CI [0.00, 0.01], p = 0.01 and f ²  = 0.01) and greater consideration of early retirement (B = 0.02, 95% CI [0.00, 0.03], p = 0.04 and f ²  = 0.004).

CONCLUSIONS

Working in value-discrepant environments predicts a range of poorer outcomes among healthcare professionals, including hindering the ability to be compassionate. Scalable organizational and systems-level interventions that address operational processes and practices that lead to the experience of value discrepancies are recommended to improve clinician performance and well-being outcomes.

Artificial intelligence technologies and compassion in healthcare: A systematic scoping review

Background

Advances in artificial intelligence (AI) technologies, together with the availability of big data in society, creates uncertainties about how these developments will affect healthcare systems worldwide. Compassion is essential for high-quality healthcare and research shows how prosocial caring behaviors benefit human health and societies. However, the possible association between AI technologies and compassion is under conceptualized and underexplored.

Objectives

The aim of this scoping review is to provide a comprehensive depth and a balanced perspective of the emerging topic of AI technologies and compassion, to inform future research and practice. The review questions were: How is compassion discussed in relation to AI technologies in healthcare? How are AI technologies being used to enhance compassion in healthcare? What are the gaps in current knowledge and unexplored potential? What are the key areas where AI technologies could support compassion in healthcare?

Materials and methods

A systematic scoping review following five steps of Joanna Briggs Institute methodology. Presentation of the scoping review conforms with PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews). Eligibility criteria were defined according to 3 concept constructs (AI technologies, compassion, healthcare) developed from the literature and informed by medical subject headings (MeSH) and key words for the electronic searches. Sources of evidence were Web of Science and PubMed databases, articles published in English language 2011-2022. Articles were screened by title/abstract using inclusion/exclusion criteria. Data extracted (author, date of publication, type of article, aim/context of healthcare, key relevant findings, country) was charted using data tables. Thematic analysis used an inductive-deductive approach to generate code categories from the review questions and the data. A multidisciplinary team assessed themes for resonance and relevance to research and practice.

Results

Searches identified 3,124 articles. A total of 197 were included after screening. The number of articles has increased over 10 years (2011, n = 1 to 2021, n = 47 and from Jan-Aug 2022 n = 35 articles). Overarching themes related to the review questions were: (1) Developments and debates (7 themes) Concerns about AI ethics, healthcare jobs, and loss of empathy; Human-centered design of AI technologies for healthcare; Optimistic speculation AI technologies will address care gaps; Interrogation of what it means to be human and to care; Recognition of future potential for patient monitoring, virtual proximity, and access to healthcare; Calls for curricula development and healthcare professional education; Implementation of AI applications to enhance health and wellbeing of the healthcare workforce. (2) How AI technologies enhance compassion (10 themes) Empathetic awareness; Empathetic response and relational behavior; Communication skills; Health coaching; Therapeutic interventions; Moral development learning; Clinical knowledge and clinical assessment; Healthcare quality assessment; Therapeutic bond and therapeutic alliance; Providing health information and advice. (3) Gaps in knowledge (4 themes) Educational effectiveness of AI-assisted learning; Patient diversity and AI technologies; Implementation of AI technologies in education and practice settings; Safety and clinical effectiveness of AI technologies. (4) Key areas for development (3 themes) Enriching education, learning and clinical practice; Extending healing spaces; Enhancing healing relationships.

Conclusion

There is an association between AI technologies and compassion in healthcare and interest in this association has grown internationally over the last decade. In a range of healthcare contexts, AI technologies are being used to enhance empathetic awareness; empathetic response and relational behavior; communication skills; health coaching; therapeutic interventions; moral development learning; clinical knowledge and clinical assessment; healthcare quality assessment; therapeutic bond and therapeutic alliance; and to provide health information and advice. The findings inform a reconceptualization of compassion as a human-AI system of intelligent caring comprising six elements: (1) Awareness of suffering (e.g., pain, distress, risk, disadvantage); (2) Understanding the suffering (significance, context, rights, responsibilities etc.); (3) Connecting with the suffering (e.g., verbal, physical, signs and symbols); (4) Making a judgment about the suffering (the need to act); (5) Responding with an intention to alleviate the suffering; (6) Attention to the effect and outcomes of the response. These elements can operate at an individual (human or machine) and collective systems level (healthcare organizations or systems) as a cyclical system to alleviate different types of suffering. New and novel approaches to human-AI intelligent caring could enrich education, learning, and clinical practice; extend healing spaces; and enhance healing relationships.

Implications

In a complex adaptive system such as healthcare, human-AI intelligent caring will need to be implemented, not as an ideology, but through strategic choices, incentives, regulation, professional education, and training, as well as through joined up thinking about human-AI intelligent caring. Research funders can encourage research and development into the topic of AI technologies and compassion as a system of human-AI intelligent caring. Educators, technologists, and health professionals can inform themselves about the system of human-AI intelligent caring.

The Mediating Role of Compassion between Social Job Resources, and Healthy Healthcare Professionals: A Cross-Sectional Study with Gender Perspective

The aim of this study is to examine the role of Compassion towards others as a mediator between Social Job Resources (social support climate, coordination, and positive leadership), Healthy Employees (psychological well-being such as resilience, engagement, and optimism) and Healthy Organisational Outcomes (in-role performance, extra-role performance and commitment) from a gender perspective in healthcare professionals. Through the multiple analyses of variance, structural equation models, and multiple-group analyses in a sample of 1420 healthcare professionals from different public and private hospitals in Spain, this study proved the existence of gender differences, with women perceiving higher levels of Compassion. Moreover, this study shows that Compassion partially mediates the relationship between Social Job Resources and Healthy Employees. In addition, Compassion partially mediates the relationship between Social Job Resources and Healthy Organisational Outcomes. Finally, Healthy Employees mediate the positive relationship between Social Job Resources and Healthy Organisational Outcomes. This is an innovative contribution to the limited research examining Compassion towards others as a personal resource that can have a positive impact in the workplace. The results also propose a way to develop and conduct interventions in order to increase Compassion towards others in the healthcare context.

Kindness, Listening, and Connection: Patient and Clinician Key Requirements for Emotional Support in Chronic and Complex Care

Emotional support for patients is critical for achieving person-centered care. However, the literature evidences an ongoing challenge in embedding emotional support within current health services. This study aimed to investigate the strategies to embed emotional support from the perspectives of patients and clinicians. This is an exploratory qualitative study that collected data through focus group discussions (FGDs) and interviews from 11 patients, 2 carers, and 7 clinicians in the multi-disciplinary care teams in an outpatient complex and chronic care setting in New South Wales, Australia. The FGDs and interviews were recorded, transcribed, and thematically analyzed. Three main themes emerged from the experience of both the patients and clinicians: (1) warmth and kindness, (2) deep listening, and (3) social connection in the process of treatment. Clinicians' and patients' shared experience of these themes was key to embed emotional support in care. Practical strategies including promoting shared understanding of emotional support, enhancing provider's capability to deliver emotional support, and building patient's networking opportunities in treatment processes were discussed to facilitate emotional support in patient care and health services.

Level of compassionate health care service provision and its associated factors among health professionals working in public hospitals of Addis Ababa: health professionals’ perspective

Background

Compassionate health care service is important for good clinical outcomes and patient satisfaction. However, complaints of non-compassionate care became very familiar and popular grievance of the community in the health care system. The aim of this study was to assess the level of compassionate health care service provision and its associated factors among health professionals working in public hospitals of Addis Ababa, Ethiopia.

Methods

A facility based cross sectional study was conducted among six public hospitals of Addis Ababa, Ethiopia. Simple random sampling and systematic sampling methods were applied to select hospitals and each study participants respectively. Data were collected from 400 participants using a self-administered structured questionnaire. The mean of compassionate health care was taken as the cut point to label respondent as good and poor compassionate health care service provider. Bivariate and multivariable logistic regressions were done to determine the associated factors for compassionate care provision. Variables with p values < 0.05 at the multivariable analysis were considered as significantly associated with compassionate care provision.

Results

Only 48.0% of health care professionals provided good compassionate care. Learned to be compassionate (AOR = 5.083; CI 95% 2.69, 9.58); patient and their family realistic expectation (AOR = 2.24; CI 95% 1.07, 4.66) were found to be significantly associated with good compassionate health care provision.

Conclusions

and recommendations: Good compassionate health care service provision in Addis Ababa hospitals was very low. Teaching health science and medical students to be compassionate and ensuring health care clients to have realistic expectation may be important to farther enhance compassionate health care service provision.

From a View of the Hospital as a System to a View of the Suffering Patient

Purpose: Hospitals aspire to provide patient-centered care but are far from achieving it. This qualitative mixed methods study explored the capacity of hospital directors to shift from a hospital systemic-view to a suffering patient-view applying the Salutogenic theory.

Methods: Following IRB, we conducted in-depth narrative interviews with six directors of the six Israeli academic tertiary public hospitals, focusing on their managerial role. In a second meeting we conducted vignette interviews in which we presented each director with a narrative of a suffering young patient who died at 33 due to medical misconduct, allowing self-introspection. Provisional coding was performed for data analysis to identify categories and themes by the three dimensions of the sense-of-coherence, an anchor of Salutogenics: comprehensibility, manageability, and meaningfulness.

Results: While at the system level, directors reported high comprehensibility and manageability in coping with complexity, at the patient level, when confronted with the vignette, directors acknowledged their poor comprehensibility of patients' needs and patient's experience during hospitalizations. They acknowledged their poor capacity to provide patient-centered care. Meaningfulness in the narrative interview focused on the system while meaningfulness in the vignette interview focused on providing patient care.

Conclusions: The evident gaps between the system level and the patient level create lack of coherence, hindering the ability to cope with complexity, and are barriers to providing patient-centered care. To improve the delivery of patient-centered care, we suggest ways to consolidate the views, enabling the shift from a systemic-view to a patient-view.