Reliability and Validity of Measures Commonly Utilized to Assess Nurse Well-Being.

BACKGROUND: A healthy nursing workforce is vital to ensuring that patients are provided quality care. Assessing nurses' well-being and related factors requires routine evaluations from health system leaders that leverage brief psychometrically sound measures. To date, measures used to assess nurses' well-being have primarily been psychometrically tested among other clinicians or nurses working in specific clinical practice settings rather than in large, representative, heterogeneous samples of nurses. OBJECTIVES: This study aimed to psychometrically test measures frequently used to evaluate factors linked to nurse well-being in a heterogeneous sample of nurses within a large academic health system. METHODS: This cross-sectional, survey-based study used a convenience sample of nurses working across acute care practice settings. A total of 177 nurses completed the measures that included the Professional Quality of Life (proQOL), the short form of the Professional Quality of Life measure, the Connor Davidson Resiliency 2-Item (CD-RISC-2), the World Health Organization Well-being Index (WHO-5), the Secondary Traumatic Stress Scale (STSS), and the single item Mini-Z. Internal reliability and convergent validity were assessed for each measure. RESULTS: All the measures were found to be reliable. Brief measures used to assess domains of well-being demonstrated validity with longer measures, as evident by significant correlation coefficients. DISCUSSION: This study provides support for the reliability and validity of measures commonly used to assess well-being in a diverse sample of nurses working across acute care settings. Data from routine assessments of the nursing workforce hold the potential to guide the implementation and evaluation of interventions capable of promoting workplace well-being. Assessments should include psychometrically sound, low-burden measures, such as those evaluated in this study.

A mixed-method evaluation of implementation determinants for chaplain intervention in a hospital setting.

Healthcare chaplains address broad social and emotional dimensions of care within a pluralistic religious landscape. Although the development and evaluation of chaplaincy interventions has advanced the field, little research has investigated factors influencing the implementation of new chaplain interventions. In this mixed-method study, we examined attitudes about evidence-based interventions held by chaplain residents (n = 39) at the outset of an ACPE-accredited residency program in the southeast United States. We also used semi-structured interviews (n = 9) to examine residents' attitudes, beliefs, and decision-making processes after they trained in the delivery of a novel manualized intervention, Compassion-Centered Spiritual Health (CCSH). Most residents reported favorable attitudes toward manualized approaches prior to training. Interviews revealed complex decision-making processes and highlighted personal motivations and challenges to learning and implementing CCSH. Implementation science can reveal factors related to motivation, intention, and training that may be optimized to improve the implementation of healthcare chaplaincy interventions.

What's in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT.

BACKGROUND: Artificial intelligence chatbots such as ChatGPT (OpenAI) have garnered excitement about their potential for delegating writing tasks ordinarily performed by humans. Many of these tasks (eg, writing recommendation letters) have social and professional ramifications, making the potential social biases in ChatGPT's underlying language model a serious concern. OBJECTIVE: Three preregistered studies used the text analysis program Linguistic Inquiry and Word Count to investigate gender bias in recommendation letters written by ChatGPT in human-use sessions (N=1400 total letters). METHODS: We conducted analyses using 22 existing Linguistic Inquiry and Word Count dictionaries, as well as 6 newly created dictionaries based on systematic reviews of gender bias in recommendation letters, to compare recommendation letters generated for the 200 most historically popular "male" and "female" names in the United States. Study 1 used 3 different letter-writing prompts intended to accentuate professional accomplishments associated with male stereotypes, female stereotypes, or neither. Study 2 examined whether lengthening each of the 3 prompts while holding the between-prompt word count constant modified the extent of bias. Study 3 examined the variability within letters generated for the same name and prompts. We hypothesized that when prompted with gender-stereotyped professional accomplishments, ChatGPT would evidence gender-based language differences replicating those found in systematic reviews of human-written recommendation letters (eg, more affiliative, social, and communal language for female names; more agentic and skill-based language for male names). RESULTS: Significant differences in language between letters generated for female versus male names were observed across all prompts, including the prompt hypothesized to be neutral, and across nearly all language categories tested. Historically female names received significantly more social referents (5/6, 83% of prompts), communal or doubt-raising language (4/6, 67% of prompts), personal pronouns (4/6, 67% of prompts), and clout language (5/6, 83% of prompts). Contradicting the study hypotheses, some gender differences (eg, achievement language and agentic language) were significant in both the hypothesized and nonhypothesized directions, depending on the prompt. Heteroscedasticity between male and female names was observed in multiple linguistic categories, with greater variance for historically female names than for historically male names. CONCLUSIONS: ChatGPT reproduces many gender-based language biases that have been reliably identified in investigations of human-written reference letters, although these differences vary across prompts and language categories. Caution should be taken when using ChatGPT for tasks that have social consequences, such as reference letter writing. The methods developed in this study may be useful for ongoing bias testing among progressive generations of chatbots across a range of real-world scenarios. TRIAL REGISTRATION: OSF Registries osf.io/ztv96; https://osf.io/ztv96.

Diversity, equity, and inclusivity in observational ambulatory assessment: Recommendations from two decades of Electronically Activated Recorder (EAR) research.

Ambient audio sampling methods such as the Electronically Activated Recorder (EAR) have become increasingly prominent in clinical and social sciences research. These methods record snippets of naturalistically assessed audio from participants' daily lives, enabling novel observational research about the daily social interactions, identities, environments, behaviors, and speech of populations of interest. In practice, these scientific opportunities are equaled by methodological challenges: researchers' own cultural backgrounds and identities can easily and unknowingly permeate the collection, coding, analysis, and interpretation of social data from daily life. Ambient audio sampling poses unique and significant challenges to cultural humility, diversity, equity, and inclusivity (DEI) in scientific research that require systematized attention. Motivated by this observation, an international consortium of 21 researchers who have used ambient audio sampling methodologies created a workgroup with the aim of improving upon existing published guidelines. We pooled formally and informally documented challenges pertaining to DEI in ambient audio sampling from our collective experience on 40+ studies (most of which used the EAR app) in clinical and healthy populations ranging from children to older adults. This article presents our resultant recommendations and argues for the incorporation of community-engaged research methods in observational ambulatory assessment designs looking forward. We provide concrete recommendations across each stage typical of an ambient audio sampling study (recruiting and enrolling participants, developing coding systems, training coders, handling multi-linguistic participants, data analysis and interpretation, and dissemination of results) as well as guiding questions that can be used to adapt these recommendations to project-specific constraints and needs.

Emotional change in its "natural habitat": Measuring everyday emotion regulation with passive and active ambulatory assessment methods.

Ambulatory assessment methods have made it possible to study psychological phenomena in real-time, with translational potential for psychotherapy process research. This article uses case example data to demonstrate applications of ambulatory assessment to measuring emotion regulation, a process with relevance across diagnoses and treatment modalities that may be particularly important to measure in situ. Two methods are reviewed: Ecological Momentary Assessment (EMA), which enables self-reported momentary assessments as people go about their days, and the Electronically Activated Recorder (EAR), an unobtrusive naturalistic observation methodology that collects short audio recordings from participants' moment-to-moment environments, capturing an acoustic diary of their social interactions, daily behaviors, and natural daily language use. Using case example data from research applying EMA and EAR methods in the context of adolescent self-injurious thoughts and behaviors, we illustrate how EMA can be used to measure emotion regulation over time and across contexts, and how EAR can assess the behaviors and social-environmental factors that interact with emotion regulation in clinically important ways. We suggest applications of this measurement approach for investigations of clients' emotional change over the course of psychotherapy, as well as potential clinical applications of these methods.

Importance of Integrating Spiritual, Existential, Religious, and Theological Components in Psychedelic-Assisted Therapies.

Importance: Mounting evidence supports the role of spiritual, existential, religious, and theological components in mediating psychedelic-assisted therapy, yet integration of these elements into the clinical setting is lagging. Observations: Although psychedelic-assisted therapy commonly produces spiritually, existentially, religiously, or theologically relevant experiences for patients, these have not been systematically integrated into the psychotherapies that accompany therapeutic uses of psychedelics. As a key feature and potential mediator of therapeutic effects, evidence-based psychedelic-assisted therapies should include these topics in the treatment model. Research across multiple diagnostic targets and treatment contexts suggests that spiritually integrated psychotherapies are effective, feasible, and produce add-on benefits in spiritually, existentially, religiously, and theologically relevant outcomes, which are particularly germane to psychedelics. Established standards in spiritually integrated psychotherapy may be fruitfully applied to psychedelic-assisted therapy. Objectives for spiritually, existentially, religiously, and theologically integrated psychedelic-assisted therapy based on these standards and informed by considerations specific to psychedelics are recommended. Conclusions and Relevance: Spiritual, existential, religious, and theological topics' integration in psychedelic-assisted therapy is needed to ensure culturally competent, evidence-based treatment aligned with the highest standards of clinical care. Neglecting to address these topics can detract from cultural competence, contribute to risks for patients, and potentially undermine treatment success.

Religious and Existential Determinants of Affective Response to a Brief Mindfulness Intervention.

Mindfulness-based interventions (MBIs) are often promoted in the Western world as being "secular" in nature, despite the religious/spiritual (R/S) roots of mindfulness itself. Relevant individual characteristics such as R/S, however, have yet to be examined thoroughly in relation to treatment response. Using pre-post experimental designs, we examined the interaction of participant religiosity and different religious framings (Buddhist, secular, spiritual) of a brief MBI as determinants of affective responses to the MBI using regression in two online samples (Study 1: N=677; Study 2: N= 157). Aspects of religiosity (existential quest, scriptural literalism) had differential effects on affective responses to MBIs dependent on the framing of the condition. Participants' R/S, as well as the R/S attributes of an MBI, may impact affective responses to MBIs. Further research is needed to ascertain how, and to what extent, MBIs might be optimized in order to maximize benefits for participants with diverse religious and existential commitments. Supplementary Information: The online version contains supplementary material available at 10.1007/s42761-022-00139-0.

Developing an ACT-based intervention to address lung cancer stigma: Stakeholder recommendations and feasibility testing in two NCI-designated cancer centers.

Objective: Few psychosocial interventions have been tailored to meet the unique needs of patients diagnosed with lung cancer. This pilot study developed and tested a six-week intervention for reducing lung cancer stigma.Design and Subjects: Guided by qualitative interviews conducted with 9 lung cancer patients and 5 thoracic oncology care providers, Acceptance and Commitment Therapy was adapted for treatment of lung cancer stigma (ACT-LCS). In a subsequent single arm pilot study, 22 lung cancer patients reporting high levels of stigma completed the intervention.Setting: NCI-designated cancer centers in the Southwestern and Eastern United States.Results: Of 46 eligible patients, 22 provided consent, with 20 completing the intervention (10 in-person, 10 telehealth). Overall stigma decreased across timepoints, largely driven by reductions in internalized stigma. There were also significant reductions in social isolation, sleep disturbance, and fatigue.Conclusions: The ACT-LCS protocol demonstrates preliminary feasibility and acceptability. This intervention may be particularly suited for helping patients navigate feelings associated with internalized stigma.

Biological and psychological predictors of heart rate patterns during physical activity.

Objective: Latent class modeling (LCM) offers a promising approach for examining correlates of heart rate (HR) patterns over multiple exercise sessions. This research examined biological and psychological variables associated with different patterns of HR response to physical activity (PA). Methods: In a three-arm randomized controlled trial (exercise video games vs. standard exercise vs. non-exercise control), HR was recorded during PA sessions over a 12-week period. LCM identified three patterns of HR during PA across 189 participants in active arms: 1) high HR across sessions with low variability within sessions, 2) linear increase in HR across sessions with low variability within sessions, and 3) high variability in HR across all sessions. Associations with biological (resting heart rate, blood pressure, BMI, age, cholesterol, triglycerides, HbA1c) and psychological (depression, motivations for PA, PA-induced feelings) predictors of latent class membership were iteratively tested. Results: Psychological variables played as important a role in the final model as biological variables for predicting latent class membership. Few differences were found between LC1 and LC2, but LC3 differed from the other two groups in that participants were likelier to report that feel revitalized after PA (vs. LC1 and LC2), to be less motivated for PA (vs. LC1), reported greater depression (vs. LC1 and LC2), and were younger (vs. LC1). Conclusions: These findings demonstrate the potential of LCM to identify biological and psychological factors associated with chronotropic responses to PA, and advance understanding of the role of psychological factors in chronotropic PA outcomes.

The Language of Compassion: Hospital Chaplains' Compassion Capacity Reduces Patient Depression via Other-Oriented, Inclusive Language.

Objectives: Although hospital chaplains play a critical role in delivering emotional and spiritual care to a broad range of both religious and non-religious patients, there is remarkably little research on the best practices or "active ingredients" of chaplain spiritual consults. Here, we examined how chaplains' compassion capacity was associated with their linguistic behavior with hospitalized inpatients, and how their language in turn related to patient outcomes. Methods: Hospital chaplains (n = 16) completed self-report measures that together were operationalized as self-reported "compassion capacity." Next, chaplains conducted consultations with inpatients (n = 101) in five hospitals. Consultations were audio-recorded, transcribed, and analyzed using Linguistic Inquiry Word Count (LIWC). We used exploratory structural equation modeling to identify associations between chaplain-reported compassion capacity, chaplain linguistic behavior, and patient depression after the consultation. Results: We found that compassion capacity was significantly associated with chaplains' LIWC clout scores, a variable that reflects a confident leadership, inclusive, and other-oriented linguistic style. Clout scores, in turn, were negatively associated with patient depression levels controlling for pre-consult distress, indicating that patients seen by chaplains displaying high levels of clout had lower levels of depression after the consultation. Compassion capacity exerted a statistically significant indirect effect on patient depression via increased clout language. Conclusions: These findings inform our understanding of the linguistic patterns underlying compassionate and effective chaplain-patient consultations and contribute to a deeper understanding of the skillful means by which compassion may be manifest to reduce suffering and enhance well-being in individuals at their most vulnerable.

Learning Compassion and Meditation: A Mixed-Methods Analysis of the Experience of Novice Meditators.

Over the last decade, numerous interventions and techniques that aim to engender, strengthen, and expand compassion have been created, proliferating an evidence base for the benefits of compassion meditation training. However, to date, little research has been conducted to examine individual variation in the learning, beliefs, practices, and subjective experiences of compassion meditation. This mixed-method study examines changes in novice meditators' knowledge and contemplative experiences before, during, and after taking an intensive course in CBCT® (Cognitively-Based Compassion Training), a contemplative intervention that is increasingly used for both inter- and intrapersonal flourishing. The participants in this study (n = 40) were Christian healthcare chaplains completing a 1-year residency in Clinical Pastoral Education (CPE) who learned CBCT as part of their professional chaplaincy training curriculum. Prior to and upon completion of training, we surveyed participants to assess their beliefs about the malleability of compassion, types of engagement in compassion meditation, and perceptions of the impact of taking CBCT. We also conducted in-depth interviews with a subset of participants to gain a qualitative understanding of their subjective experiences of learning and practicing compassion meditation, a key component of CBCT. We found that participants reported increases in the extent to which they believed compassion to be malleable after studying CBCT. We also found high levels of variability of individual ways of practicing and considered the implications of this for the study of contemplative learning processes. This multi-methodological approach yielded novel insights into how compassion practice and compassion-related outcomes interrelate, insights that can inform the basic scientific understanding of the experience of learning and enacting compassion meditation as a means of strengthening compassion itself.

Best practices for Electronically Activated Recorder (EAR) research: A practical guide to coding and processing EAR data.

Since its introduction in 2001, the Electronically Activated Recorder (EAR) method has become an established and broadly used tool for the naturalistic observation of daily social behavior in clinical, health, personality, and social science research. Previous treatments of the method have focused primarily on its measurement approach (relative to other ecological assessment methods), research design considerations (e.g., sampling schemes, privacy considerations), and the properties of its data (i.e., reliability, validity, and added measurement value). However, the evolved procedures and practices related to arguably one of the most critical parts of EAR research-the coding process that converts the sampled raw ambient sounds into quantitative behavioral data for statistical analysis-so far have largely been communicated informally between EAR researchers. This article documents "best practices" for processing EAR data, which have been tested and refined in our research over the years. Our aim is to provide practical information on important topics such as the development of a coding system, the training and supervision of EAR coders, EAR data preparation and database optimization, the troubleshooting of common coding challenges, and coding considerations specific to diverse populations.

Dispositional mindfulness in daily life: A naturalistic observation study.

Mindfulness has seen an extraordinary rise as a scientific construct, yet surprisingly little is known about how it manifests behaviorally in daily life. The present study identifies assumptions regarding how mindfulness relates to behavior and contrasts them against actual behavioral manifestations of trait mindfulness in daily life. Study 1 (N = 427) shows that mindfulness is assumed to relate to emotional positivity, quality social interactions, prosocial orientation and attention to sensory perceptions. In Study 2, 185 participants completed a gold-standard, self-reported mindfulness measure (the FFMQ) and underwent naturalistic observation sampling to assess their daily behaviors. Trait mindfulness was robustly related to a heightened perceptual focus in conversations. However, it was not related to behavioral and speech markers of emotional positivity, quality social interactions, or prosocial orientation. These findings suggest that the subjective and self-reported experience of being mindful in daily life is expressed primarily through sharpened perceptual attention, rather than through other behavioral or social differences. This highlights the need for ecological models of how dispositional mindfulness "works" in daily life, and raises questions about the measurement of mindfulness.

"Eavesdropping on Happiness" Revisited: A Pooled, Multisample Replication of the Association Between Life Satisfaction and Observed Daily Conversation Quantity and Quality.

In the present study, we aimed to replicate and extend findings by Mehl, Vazire, Holleran, and Clark (2010) that individuals with higher well-being tend to spend less time alone and more time interacting with others (e.g., greater conversation quantity) and engage in less small talk and more substantive conversations (e.g., greater conversation quality). To test the robustness of these effects in a larger and more diverse sample, we used Bayesian integrative data analysis to pool data on subjective life satisfaction and observed daily conversations from three heterogeneous adult samples, in addition to the original sample ( N = 486). We found moderate associations between life satisfaction and amount of alone time, conversation time, and substantive conversations, but no reliable association with small talk. Personality did not substantially moderate these associations. The failure to replicate the original small-talk effect is theoretically and practically important, as it has garnered considerable scientific and lay interest.

Maladaptive repetitive thought as a transdiagnostic phenomenon and treatment target: An integrative review.

OBJECTIVE: Maladaptive repetitive thought (RT), the frequent and repetitive revisiting of thoughts or internal experiences, is associated with a range of psychopathological processes and disorders. We present a synthesis of prior research on maladaptive RT and develop a framework for elucidating and distinguishing between five forms of maladaptive RT. METHOD: In addition to the previously studied maladaptive RT (worry, rumination, and obsession), this framework is used to identify two additional forms of maladaptive RT (yearning and interoceptive RT). We then present a review of extant psychotherapy intervention research targeting maladaptive RT, focusing both on specific empirically based treatment strategies, and also constructs within treatments that impact maladaptive RT. CONCLUSION: The paper concludes with recommendations for future basic and intervention research on maladaptive RT and related psychopathologies.

Studying the teaching of kindness: A conceptual model for evaluating kindness education programs in schools.

Recent research suggests that school-based kindness education programs may benefit the learning and social-emotional development of youth and may improve school climate and school safety outcomes. However, how and to what extent kindness education programming influences positive outcomes in schools is poorly understood, and such programs are difficult to evaluate in the absence of a conceptual model for studying their effectiveness. In partnership with Kind Campus, a widely adopted school-based kindness education program that uses a bottom-up program framework, a methodology called concept mapping was used to develop a conceptual model for evaluating school-based kindness education programs from the input of 123 middle school students and approximately 150 educators, school professionals, and academic scholars. From the basis of this model, recommendations for processes and outcomes that would be useful to assess in evaluations of kindness education programs are made, and areas where additional instrument development may be necessary are highlighted. The utility of the concept mapping method as an initial step in evaluating other grassroots or non-traditional educational programming is also discussed.