Relationships and resilience at work and at home: Impact of relational coordination on clinician work-life balance and well-being in times of crisis.

BACKGROUND: The COVID-19 pandemic has been an unusually comprehensive crisis that has taken a toll on people in their roles both at work and at home, giving rise to a new normal. PURPOSE: Relational coordination theory shows how communicating and relating for the purpose of task integration drives positive outcomes for workers, their clients, and their employers. The ecological theory of work-family spillover shows how relational dynamics from work spillover into family life, and vice versa. We build upon these two theories to understand how relationships at work impact work-life balance and worker well-being, especially in times of crisis. METHODOLOGY: This study was based on surveys of clinicians affiliated with a large California health system during the COVID-19 pandemic. Mediation and multilevel logistic regression models were used to assess how relational coordination among colleagues impacts well-being (job satisfaction and lack of burnout) through its effects on work-life balance (schedule control and personal time). RESULTS: A 1-point increase in relational coordination tripled clinician odds of having schedule control ( OR = 3.33, p < .001) and nearly doubled the odds of having adequate personal time ( OR = 1.83, p < .001). A 1-point increase in relational coordination nearly quadrupled odds of being satisfied with their job ( OR = 3.92, p < .001) and decreased odds of burnout by 64% ( OR = 0.36, p < .001). The impact of relational coordination on worker well-being was mediated by greater schedule control and personal time. CONCLUSION: Relational coordination among colleagues impacts worker well-being by enabling greater control over one's schedule and more personal time, thus creating a positive spillover from work to home in times of crisis. PRACTICE IMPLICATIONS: In times of crisis, leaders should prioritize relational coordination among colleagues in order to support their resilience both at work and at home.

Women, Younger Clinicians', and Caregivers' Experiences of Burnout and Well-being During COVID-19 in a US Healthcare System.

BACKGROUND: The COVID-19 pandemic brought rapid changes to the work and personal lives of clinicians. OBJECTIVE: To assess clinician burnout and well-being during the COVID-19 pandemic and guide healthcare system improvement efforts. DESIGN: A survey asking about clinician burnout, well-being, and work experiences. PARTICIPANTS: Surveys distributed to 8141 clinicians from June to August 2020 in 9 medical groups and 17 hospitals at Sutter Health, a large healthcare system in Northern California. MAIN MEASURES: Burnout was the primary outcome, and other indicators of well-being and work experience were also measured. Descriptive statistics and multivariate logistic regression analyses were performed. All statistical inferences were based on weighted estimates adjusting for response bias. KEY RESULTS: A total of 3176 clinicians (39.0%) responded to the survey. Weighted results showed 29.2% reported burnout, and burnout was more common among women than among men (39.0% vs. 22.7%, p<0.01). In multivariate models, being a woman was associated with increased odds of reporting burnout (OR=2.19, 95% CI: 1.51-3.17) and being 55+ years old with lower odds (OR=0.54, 95% CI: 0.34-0.87). More women than men reported that childcare/caregiving was impacting work (32.9% vs. 19.0%, p<0.01). Even after controlling for age and gender, clinicians who reported childcare/caregiving responsibilities impacted their work had substantially higher odds of reporting burnout (OR=2.19, 95% CI: 1.54-3.11). Other factors associated with higher burnout included worrying about safety at work, being given additional work tasks, concern about losing one's job, and working in emergency medicine or radiology. Protective factors included believing one's concerns will be acted upon and feeling highly valued. CONCLUSIONS: This large survey found the pandemic disproportionally impacted women, younger clinicians, and those whose caregiving responsibilities impacted their work. These results highlight the need for a holistic and targeted strategy for improving clinician well-being that addresses the needs of women, younger clinicians, and those with caregiving responsibilities.

Extreme Response Style and the Measurement of Intra-Individual Variability in Affect.

Extreme response style (ERS) has the potential to bias the measurement of intra-individual variability in psychological constructs. This paper explores such bias through a multilevel extension of a latent trait model for modeling response styles applied to repeated measures rating scale data. Modeling responses to multi-item scales of positive and negative affect collected from smokers at clinic visits following a smoking cessation attempt revealed considerable ERS bias in the intra-individual sum score variances. In addition, simulation studies suggest the magnitude and direction of bias due to ERS is heavily dependent on the mean affect level, supporting a model-based approach to the study and control of ERS effects. Application of the proposed model-based adjustment is found to improve intra-individual variability as a predictor of smoking cessation.

Measurement and control of bias in patient reported outcomes using multidimensional item response theory.

BACKGROUND: Patient-reported outcome (PRO) measures play a key role in the advancement of patient-centered care research. The accuracy of inferences, relevance of predictions, and the true nature of the associations made with PRO data depend on the validity of these measures. Errors inherent to self-report measures can seriously bias the estimation of constructs assessed by the scale. A well-documented disadvantage of self-report measures is their sensitivity to response style (RS) effects such as the respondent's tendency to select the extremes of a rating scale. Although the biasing effect of extreme responding on constructs measured by self-reported tools has been widely acknowledged and studied across disciplines, little attention has been given to the development and systematic application of methodologies to assess and control for this effect in PRO measures. METHODS: We review the methodological approaches that have been proposed to study extreme RS effects (ERS). We applied a multidimensional item response theory model to simultaneously estimate and correct for the impact of ERS on trait estimation in a PRO instrument. Model estimates were used to study the biasing effects of ERS on sum scores for individuals with the same amount of the targeted trait but different levels of ERS. We evaluated the effect of joint estimation of multiple scales and ERS on trait estimates and demonstrated the biasing effects of ERS on these trait estimates when used as explanatory variables. RESULTS: A four-dimensional model accounting for ERS bias provided a better fit to the response data. Increasing levels of ERS showed bias in total scores as a function of trait estimates. The effect of ERS was greater when the pattern of extreme responding was the same across multiple scales modeled jointly. The estimated item category intercepts provided evidence of content independent category selection. Uncorrected trait estimates used as explanatory variables in prediction models showed downward bias. CONCLUSIONS: A comprehensive evaluation of the psychometric quality and soundness of PRO assessment measures should incorporate the study of ERS as a potential nuisance dimension affecting the accuracy and validity of scores and the impact of PRO data in clinical research and decision making.

Analysis of Hospitals Switching From a "Danger to Self" Question to Universal Columbia-Suicide Severity Rating Scale Screening: Impact on Screenings, Identification of Suicide Risk, and Documented Psychiatric Care.

Objective: Sutter Health launched system-wide general population standardized suicide screening with the Columbia-Suicide Severity Rating Scale (C-SSRS) screen (triage) version in 23 hospitals in 2019, replacing a one-question "danger to self" (DTS) assessment. This study analyzed the impact of C-SSRS implementation on screening rates, positive screenings, and documented psychiatric care within 90 days for all patients and a subgroup diagnosed with Major Depressive Disorder (MDD). Methods: Adults seen at hospitals in the pre-period (July 1, 2017-June 30, 2019) and post-period (July 1, 2019-December 31, 2020) were identified using electronic health records. Outcomes were compared using chi-square statistics and interrupted time series (ITS) models. Results: Pre-period, 92.8% (740,984/798,653) of patients were screened by DTS versus 84.6% (504,015/595,915) by C-SSRS in the post-period. Positive screening rates were 1.5% pre-period and 2.2% post-period, and 9.2% pre-period versus 10.8% post-period for those with MDD. Among individuals with positive screenings, 64.0% (pre-period) had documented follow-up psychiatric care versus 52.5% post-period and 66.4% of those with moderate or high-risk. Among all patients seen there was an overall increase in documentation of psychiatric care within 90 days (0.87% pre- to 0.96% post-period). ITS models revealed a 9.6% decline in screening, 1.3% increase in positive screenings, and 12.9% decline in documented psychiatric care following C-SSRS implementation (all p < 0.01). Conclusions: Following implementation, there was meaningful increase in suicide risk identification, and an increase in the proportion of patients with documented psychiatric care. Observed relative declines in screening warrant future research examining opportunities and barriers to general population C-SSRS use.

Implementing universal suicide screening in a large healthcare system's hospitals: rates of screening, suicide risk, and documentation of subsequent psychiatric care.

Implementation of suicide risk screening may improve prevention and facilitate mental health treatment. This study analyzed implementation of universal general population screening using the Columbia-Suicide Severity Rating Scale (C-SSRS) within hospitals. The study included adults seen at 23 hospitals from 7/1/2019-12/31/2020. We describe rates of screening, suicide risk, and documented subsequent psychiatric care (i.e., transfer/discharge to psychiatric acute care, or referral/consultation with system-affiliated behavioral health providers). Patients with suicide risk (including those with Major Depressive Disorder [MDD]) were compared to those without using Wilcoxon rank-sum -tests for continuous variables and χ2 tests for categorical variables. Results reported are statistically significant at p < 0.05 level. Among 595,915 patients, 84.5% were screened by C-SSRS with 2.2% of them screening positive (37.6% low risk [i.e., ideation only], and 62.4% moderate or high risk [i.e., with a plan, intent, or suicidal behaviors]). Of individuals with suicide risk, 52.5% had documentation of psychiatric care within 90 days. Individuals with suicide risk (vs. without) were male (48.1% vs 43.0%), Non-Hispanic White (55.0% vs 47.8%), younger (mean age 41.0 [SD: 17.7] vs. 49.8 [SD: 20.4]), housing insecure (12.5% vs 2.6%), with mental health diagnoses (80.3% vs 25.1%), including MDD (41.3% vs 6.7%). Universal screening identified 2.2% of screened adults with suicide risk; 62.4% expressed a plan, intent or suicidal behaviors, and 80.3% had mental health diagnoses. Documented subsequent psychiatric care likely underestimates true rates due to care fragmentation. These findings reinforce the need for screening, and research on whether screening leads to improved care and fewer suicides.

This study reported outcomes of standardized suicide screening using the Columbia-Suicide Severity Rating Scale among adults in 23 hospitals in a large health system in northern California between 7/1/2019 and 12/31/2020. Out of 595,915 patients seen in hospital inpatient or emergency departments, 84.5% were screened and among them 2.2% had suicide risk, 41.3% of whom had a diagnosis of Major Depressive Disorder. Compared to patients without suicide risk, a higher proportion of patients who screened positive for suicide risk were male, Non-Hispanic White, younger, recently homeless, and had co-occurring mental health diagnoses. Overall, 52.5% of those screening positive for suicide risk had documentation of subsequent psychiatric care within the health system within 90 days and this rate was even higher (73%) for individuals whose screenings indicated the highest risk. These findings reinforce the need for increased screening, and research to determine whether screening leads to improved care and fewer suicides.

Patient Preferences for Preventive Healthcare During the COVID-19 Pandemic in a Large Integrated Health System.

The COVID-19 pandemic caused healthcare systems and patients to cancel or postpone healthcare services, particularly preventive care. Many patients still have not received these services raising concerns about the potential for preventable morbidity and mortality. At Sutter Health, a large integrated healthcare system in Northern California, we conducted a population-based email survey in August 2020 to evaluate perceptions and preferences about where, when, and how healthcare is delivered during the COVID-19 pandemic. In total, 3351 patients completed surveys, and 42.6% reported that they would "wait until they felt safe" before receiving a colonoscopy as compared to 22.4% for a mammogram. The doctor's office was the most common preferred location for receiving vaccines/shots (79.9%), though many also reported preferring an outdoor setting or in a car (63.7%). With over 40% of patients reporting that they would "wait until they feel safe" for a colonoscopy, healthcare systems could focus on promoting other evidence-based options such a fecal-occult blood test to ensure timely colon cancer screening.

Do Patients Continue to Use Video Visits? Factors Related to Continued Video Visit Use.

Many studies have assessed the factors associated with overall video visit use during the COVID-19 pandemic, but little is known about who is most likely to continue to use video visits and why. The authors combined a survey with electronic health record data to identify factors affecting the continued use of video visit. In August 2020, a stratified random sample of 20,000 active patients from a large health care system were invited to complete an email survey on health care seeking preferences during the COVID. Weighted logistic regression models were applied, adjusting for sampling frame and response bias, to identify factors associated with video visit experience, and separately for preference of continued use of video visits. Actual video visit utilization was also estimated within 12 months after the survey. Three thousand three hundred fifty-one (17.2%) patients completed the survey. Of these, 1208 (36%) reported having at least 1 video visit in the past, lowest for African American (33%) and highest for Hispanic (41%). Of these, 38% would prefer a video visit in the future. The strongest predictors of future video visit use were comfort using video interactions (odds ratio [OR] = 5.30, 95% confidence interval [95% CI]: 3.57-7.85) and satisfaction with the overall quality (OR = 3.94, 95% CI: 2.66-5.86). Interestingly, despite a significantly higher satisfaction for Hispanic (40%-55%) and African American (40%-50%) compared with Asian (29%-39%), Hispanic (OR = 0.46, 95% CI: 0.12-0.88) and African American (OR = 0.54, 95% CI: 0.16-0.90) were less likely to prefer a future video visit. Disparity exists in the use of video visit. The association between patient satisfaction and continued video visit varies by race/ethnicity, which may change the future long-term video visit use among race/ethnicity groups.

Differences in IgG Antibody Responses following BNT162b2 and mRNA-1273 SARS-CoV-2 Vaccines.

Studies examining antibody responses by vaccine brand are lacking and may be informative for optimizing vaccine selection, dosage, and regimens. The purpose of this study is to assess IgG antibody responses following immunization with BNT162b2 (30 µg mRNA) and mRNA-1273 (100 µg mRNA) vaccines. A cohort of clinicians at a nonprofit organization is being assessed clinically and serologically following immunization with BNT162b2 or mRNA-1273. IgG responses were measured at the Remington Laboratory by an IgG assay against the SARS-CoV-2 spike protein-receptor binding domain. Mixed-effect linear (MEL) regression modeling was used to examine whether the SARS-CoV-2 IgG level differed by vaccine brand, dosage, or number of days since vaccination. Among 532 SARS-CoV-2 seronegative participants, 530 (99.6%) seroconverted with either vaccine. After adjustments for age and gender, MEL regression modeling revealed that the average IgG antibody level increased after the second dose compared to the first dose (P < 0.001). Overall, titers peaked at week 6 for both vaccines. Titers were significantly higher for the mRNA-1273 vaccine on days 14 to 20 (P < 0.05), 42 to 48 (P < 0.01), 70 to 76 (P < 0.05), and 77 to 83 (P < 0.05) and higher for the BNT162b2 vaccine on days 28 to 34 (P < 0.001). In two participants taking immunosuppressive drugs, the SARS-CoV-2 IgG antibody response remained negative. mRNA-1273 elicited higher IgG antibody responses than BNT162b2, possibly due to the higher S-protein delivery. Prospective clinical and serological follow-up of defined cohorts such as this may prove useful in determining antibody protection and whether differences in antibody kinetics between the vaccines have manufacturing relevance and clinical significance. IMPORTANCE SARS-CoV-2 vaccines using the mRNA platform have become one of the most powerful tools to overcome the COVID-19 pandemic. mRNA vaccines enable human cells to produce and present the virus spike protein to their immune system, leading to protection from severe illness. Two mRNA vaccines have been widely implemented, mRNA-1273 (Moderna) and BNT162b2 (Pfizer/BioNTech). We found that, following the second dose, spike protein antibodies were higher with mRNA-1273 than with BNT162b2. This is biologically plausible, since mRNA-1273 delivers a larger amount of mRNA (100 µg mRNA) than BNT162b2 (30 µg mRNA), which is translated into spike protein. This difference may need to be urgently translated into changes in the manufacturing process and dose regimens of these vaccines.

Using multidimensional item response theory to evaluate how response styles impact measurement.

Multidimensional item response theory (MIRT) models for response style (e.g., Bolt, Lu, & Kim, 2014, Psychological Methods, 19, 528; Falk & Cai, 2016, Psychological Methods, 21, 328) provide flexibility in accommodating various response styles, but often present difficulty in isolating the effects of response style(s) from the intended substantive trait(s). In the presence of such measurement limitations, we consider several ways in which MIRT models are nevertheless useful in lending insight into how response styles may interfere with measurement for a given test instrument. Such a study can also inform whether alternative design considerations (e.g., anchoring vignettes, self-report items of heterogeneous content) that seek to control for response style effects may be helpful. We illustrate several aspects of an MIRT approach using real and simulated analyses.

A Sequential IRT Model for Multiple-Choice Items and a Multidimensional Extension.

For certain multiple-choice tests, it might be theorized that respondents evaluate response options in a stepwise fashion. Statistical models that assume such a process may compete against models that imply a process in which all response options are simultaneously compared, such as Bock's nominal response model. In this article, a sequential response model for multiple-choice items (SRM-MC) is considered. The model is applied to a sentence correction test in which the recognition of error and correction of error can be viewed as separate steps in solving an item. The proposed model permits the introduction of different proficiencies across steps. A fully Bayesian approach to estimating the model is presented, and an empirical comparison is performed against competing models. Empirical results support the proposed model and suggest distinct proficiencies related to recognition and correction.

An approach for estimating item sensitivity to within-person change over time: An illustration using the Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog).

When assessments are primarily used to measure change over time, it is important to evaluate items according to their sensitivity to change, specifically. Items that demonstrate good sensitivity to between-person differences at baseline may not show good sensitivity to change over time, and vice versa. In this study, we applied a longitudinal factor model of change to a widely used cognitive test designed to assess global cognitive status in dementia, and contrasted the relative sensitivity of items to change. Statistically nested models were estimated introducing distinct latent factors related to initial status differences between test-takers and within-person latent change across successive time points of measurement. Models were estimated using all available longitudinal item-level data from the Alzheimer's Disease Assessment Scale-Cognitive subscale, including participants representing the full-spectrum of disease status who were enrolled in the multisite Alzheimer's Disease Neuroimaging Initiative. Five of the 13 Alzheimer's Disease Assessment Scale-Cognitive items demonstrated noticeably higher loadings with respect to sensitivity to change. Attending to performance change on only these 5 items yielded a clearer picture of cognitive decline more consistent with theoretical expectations in comparison to the full 13-item scale. Items that show good psychometric properties in cross-sectional studies are not necessarily the best items at measuring change over time, such as cognitive decline. Applications of the methodological approach described and illustrated in this study can advance our understanding regarding the types of items that best detect fine-grained early pathological changes in cognition. (PsycINFO Database Record