A brief virtual reality intervention for pre-operative anxiety in adults.

OBJECTIVE: Virtual reality (VR) is a promising non-pharmacologic tool for managing health care anxiety. We assessed the feasibility and acceptability of a pre-operative VR intervention by adult patients and medical staff and measured anxiety in adult patients pre- and post-VR intervention. STUDY DESIGN: We recruited 30 patients scheduled to undergo oral surgery and 8 medical staff as participants. The patients completed a verbal demographic survey and rated their anxiety before the VR intervention and at 1 minute and 2 minutes post-intervention. We administered the Acceptability of Intervention Measure to the patients to measure their perceptions of the VR intervention and the Feasibility of Intervention Measure to the medical staff to assess their perception of VR implementation. We performed an analysis of variance to compare pre-operative anxiety over time and assess demographic differences. RESULTS: The patients showed high and consistent acceptability of the pre-operative use of VR among patients, but acceptability varied among medical staff. The patients experienced a statistically significant reduction of pre-operative anxiety (P = .003). CONCLUSION: A brief VR pre-intervention is highly accepted by and very beneficial for patients undergoing oral surgery, positively affecting anxiety reduction. The perception of VR by health care providers needs to be explored to increase acceptability.

Is there an outcome benefit? Patient engagement technology in addition to the electronic medical record patient portal following elective colorectal surgery.

BACKGROUND: Patient engagement technologies (PET) are an area of growing innovation and investment, but whether PET use in the setting of electronic medical record (EMR) supported patient portals are associated with improved outcomes is unknown. Therefore, we assessed PET and EMR activation among patients undergoing elective colorectal surgery on an enhanced recovery pathway. METHODS: We identified adults undergoing elective colorectal surgery between 1/2017 and 7/2021. EMR activations were assessed and patients were considered PET users if they used a proprietary PET application. Multivariable logistic regression was used to identify factors associated with PET use and determine whether the level of engagement (percentage of messages read by the patient) was associated with 30-day outcomes. RESULTS: 484 patients (53.5% PET users, 81.6% with an activated EMR patient portal, 30.8% ≥ 70 years of age) were included. PET users were younger, more likely to have their EMR portal activated and had decreased odds of prolonged length of stay [odds ratio (OR) 0.5, 95% confidence interval (CI) 0.4-0.8]. Among patients ≥ 70 years, PET users had reduced odds of readmissions (OR 0.2, 95% CI 0.1-0.9) compared to PET non-users. The most engaged PET users had decreased morbidity (OR 0.2, 95% CI 0.1-0.8) and readmissions (OR 0.3, 95% CI 0.1-0.8) compared to the least engaged PET users. CONCLUSION: When controlling for EMR activation, patients who use PET, specifically those with higher levels of engagement or aged ≥ 70, have improved outcomes following elective colorectal surgery. Interventions aimed at increasing the adoption of PET among older adults may be warranted.

The Use of Virtual Reality to Reduce Pain and Anxiety in Surgical Procedures of the Oral Cavity: A Scoping Review.

PURPOSE: Virtual reality (VR) is considered a nonpharmacological intervention to manage pain and anxiety for different procedures. We aimed to review the literature about the role of VR in reducing pain and anxiety in surgical procedures performed in the oral cavity. METHODS: A literature review was conducted using Medline and Embase with no restrictions on language or publication date. Our inclusion criteria were articles related to the use of VR to manage perioperative pain and anxiety on procedures in the oral cavity. RESULTS: Twenty-seven articles met the inclusion criteria. The number of publications increased significantly from 2 studies between 2000-2010 to 25 between 2011 and 2021. Of the 27 included studies, 22 (81.4%) studied patients undergoing dental procedures, and 5 (18.5%) in oral and maxillofacial surgery (OMS). There was heterogeneity in the VR software used in the different studies. Thirteen studies (41.9%) evaluated self or observational assessments of pain and anxiety. Pain alone was evaluated in 9 studies (29%) and anxiety alone in 8 studies (25.8%). Also, 6 studies (19.3%) evaluated physiological parameters such as heart rate and respiratory rate as objective measures of pain and anxiety. In oral surgery studies, VR was effective at reducing acute pain, fear, and anxiety levels. CONCLUSIONS: There is a paucity of research in OMS compared to dentistry. Given that this specialty involves highly stimulating and anxiety-provoking procedures, OMS could benefit from VR intervention for improved patient care.

URMC Universal Depression Screening Initiative: Patient Reported Outcome Assessments to Promote a Person-Centered Biopsychosocial Population Health Management Strategy.

Background: Patient-reported outcomes (PROs) can promote person-centered biopsychosocial health care by measuring outcomes that matter to patients, including functioning and well-being. Data support feasibility and acceptability of PRO administration as part of routine clinical care, but less is known about its effects on population health, including detection of unmet healthcare needs. Our objectives were to examine differences in rates of clinically significant depression across sociodemographic groups and clinical settings from universal depression screens in a large health system, estimate the number of patients with untreated depression detected by screenings, and examine associations between biopsychosocial PROs-physical, psychological, and social health. Methods: We analyzed data from over 200,000 adult patients who completed depression screens-either PROMIS (Patient Reported Outcomes Measurement Information System) or PHQ-2/9-as part of routine outpatient care. Results: Depression screens were positive in 14.2% of the sample, with more positive screens among younger vs. older adults, women vs. men, non-White vs. White, and Hispanics vs. non-Hispanics. These same sociodemographic indicators, as well as completing screening in primary care (vs. specialty care) were also associated with greater likelihood of detected depression in the medical record. Discussion: Universal screening for depression symptoms throughout a large health system appears acceptable and has the potential to detect depression in diverse patient populations outside of behavioral health. Expanded delivery of PROs to include physical and social health as well as depression should be explored to develop a clinically-relevant model for addressing patients' biopsychosocial needs in an integrated fashion across the health system.

Impact of integrating psychiatric assessment officers via telepsychiatry on rural hospitals' emergency revisit rates.

OBJECTIVE: To assess the impact of integrating Psychiatric Assessment Officers (PAO) and telepsychiatry in rural hospitals on their all-cause emergency department (ED) revisit rates. As a pilot project, a full-time PAO was embedded in each of three rural hospitals in New York State and was augmented by telepsychiatry. METHOD: A retrospective data analysis using ED census data obtained from the hospitals. The intervention group, defined as those patients treated by PAOs, was compared via a difference-in-difference method against a contemporaneous comparison group defined as those who visited the same EDs and had PAO-qualifying behavioral health diagnoses but were not seen by PAOs. RESULTS: The intervention group was associated with an approximately 36% lower all-cause ED revisit rate during the first 90-day period (i.e. 1-90 days) following the initial PAO treatment (p = .003). A reduction of the similar magnitude (44%) persisted into the subsequent 90-day period (i.e., 91-180 days since the initial PAO treatment; p < .001). CONCLUSION: The PAO telepsychiatry pilot program suggests a potential way to provide relief for overburdened EDs in rural communities that lack resources to treat patients with severe behavioral health symptoms.

The Digital Revolution in Behavioral Health.

BACKGROUND: Technology is disrupting every modern industry, from supermarkets to car manufacturing, and is now entering the health care space. Technological innovations in psychiatry include the opportunity for conducting therapy via two-way video conferencing, providing electronic consultations, and telementoring and education of community health care providers. Use of mobile health applications is also an expanding area of interest and promise. OBJECTIVE: The purpose of this article is to review the evolution and pros and cons of technology-enabled health care since the digital movement in psychiatry began more than 50 years ago as well as describe the University of Rochester's innovative digital behavioral health care model. METHODS: A review of the literature and recent reports on innovations in digital behavioral health care was conducted, along with a review of the University of Rochester's model to describe the current state of digital behavioral health care. RESULTS: Given the lack of access to care and mental health professional shortages in many parts of the United States, particularly rural areas, digital behavioral health care will be an increasingly important strategy for managing mental health care needs. However, there are numerous hurdles to be overcome in adopting digital health care, including provider resistance and knowledge gaps, lack of reimbursement parity, restrictive credentialing and privileging, and overregulation at both the state and federal levels. CONCLUSIONS: Digital health innovations are transforming the delivery of mental health care services and psychiatric mental health nurses can be on the forefront of this important digital revolution.

Preventable Hospitalizations Among Nursing Home Residents With Dementia and Behavioral Health Disorders.

OBJECTIVE: Nursing home (NH) residents with Alzheimer's disease/related dementias (ADRD) and/or behavioral health disorders (BHD) are at high risk of hospitalizations, many of which are potentially avoidable. Empirical evidence regarding potentially avoidable hospitalizations (PAHs) among these residents is quite sparse and mixed. The objectives of this study were to (1) examine the risk of PAH among residents with ADRD only, BHD only, ADRD and BHD compared to residents with neither and (2) identify associations between individual- and facility-level factors and PAH in these subgroups. DESIGN: Retrospective, CY2014-2015. SETTING AND PARTICIPANTS: Long-term residents age 65+ (N = 807,630) residing in 15,234 NHs. METHODS: We employed the Minimum Data Set, MedPAR, Medicare beneficiary summary, and Nursing Home Compare. Hospitalization risk was the outcome of interest. Individual-level covariates were used to adjust for health conditions. Facility-level covariates and state dummies were included. Multinomial logistic regression models were fit to estimate the risk of PAH and non-potentially avoidable hospitalizations (N-PAH). RESULTS: Compared to residents without ADRD or BHD, those with ADRD had at least a 10% lower relative risk ratio (RRR) of N-PAH and a significantly lower risk of PAH, at 16% (P < .0001). Residents with BHD only had a statistically higher, but clinically very modest (RRR = 1.03) risk of N-PAH, with no difference in the risk of PAH. Focusing on specific BHD conditions, we found no difference in N-PAH or PAH among residents with depression, lower PAH risk among those with schizophrenia/psychosis (RRR = 0.92), and an increased risk of both N-PAH (RRR = 1.15) and PAH (RRR = 1.09) among residents with bipolar disorders. CONCLUSIONS AND RELEVANCE: We observed a lower risk of PAH and N-PAH among residents with ADRD, with the risk for residents with BHD varying by condition. Substantial variations in PAH and N-PAH were evident across states. Future research is needed to identify state-level modifiable factors that explain these variations.

Racial and Ethnic Differences in the Prevalence of Depressive Symptoms Among U.S. Nursing Home Residents.

This study aimed to examine racial and ethnic differences in significant depressive symptoms among long-term nursing home residents. We analyzed the 2014 national Minimum Data Set linked to a nursing home file and estimated multivariable logistic regressions to determine the associations of race and ethnicities with significant depressive symptoms (score ≥ 10 on the 9-item Patient Health Questionnaire [PHQ-9] scale) and whether associations were explained by resident and nursing home covariates. Stratified analyses further determined independent associations in subgroups of residents. We found that the prevalence rate of PHQ-9 scores ≥ 10 was 8.8% among non-Hispanic White residents (n = 653,031) and 7.4%, 6.9%, and 6.6% among Black (n = 97,629), Hispanic (n = 39,752), and Asian (n = 16,636) residents, respectively. The reduced likelihoods of significant depressive symptoms for minority residents compared to non-Hispanic Whites persisted after sequential adjustments for resident and nursing home covariates, as well as in stratified analyses. The persistently lower rate of significant depressive symptoms among racial and ethnic minority residents suggests that training of nursing home caregivers for culturally sensitive depression screening is needed for improved symptom recognition among minority residents.

Aggressive Behaviors Among Nursing Home Residents: Association With Dementia and Behavioral Health Disorders.

OBJECTIVES: We measured the prevalence and severity of aggressive behaviors (ABs) among nursing home (NH) residents and examined whether individuals with behavioral health disorders were more likely to exhibit aggressive behaviors than others. SETTING AND PARTICIPANTS: The analytical sample included 3,270,713 first Minimum Data Set (MDS) assessments for residents in 15,706 NHs in 2015. MEASURES: Individuals were identified as having (1) behavioral health disorders only (hierarchically categorized as schizophrenia/psychosis, bipolar disorder, personality disorder, substance abuse, depression/anxiety); (2) dementia only; (3) behavioral health disorders and dementia; or (4) neither. The Aggressive Behavior Scale (ABS) measured the degree of aggressive behaviors exhibited, based on 4 MDS items (verbal, physical, other behavioral symptoms, and rejection of care). The ABS scores ranged from 0 to 12 reflecting symptom severity as none (ABS score = 0), mild (ABS score = 1-2), moderate (ABS score = 3-5), and severe (ABS score = 6-12). Bivariate comparisons and multinomial logistic regressions were performed. RESULTS: Residents with behavioral health disorders and dementia had the highest prevalence of ABs (23.1%), followed by dementia only (15.3%), behavioral health disorders only (9.3%), and neither (5.3%). After controlling for individual risk factors and facility covariates, the relative risk of exhibiting severe ABs was 2.47, 5.50, and 9.42 for residents with behavioral health disorders only, dementia only, and behavioral health disorders and dementia, respectively, with a similar pattern for moderate or mild ABs. CONCLUSIONS: Residents with behavioral health disorders were less likely than residents with dementia to exhibit aggressive behaviors in nursing homes. Thus, anecdotally reported concerns that aggressive behaviors are primarily an issue for residents with behavioral health disorders, rather than those with dementia, were not empirically justified.

Are Post-Acute Patients with Behavioral Health Disorders Admitted to Lower-Quality Nursing Homes?

OBJECTIVES: We measured the proportion of new post-acute nursing home admissions with behavioral health diagnoses and examined whether patients with these disorders (schizophrenia/psychosis, bipolar, depression/anxiety, personality disorder, and substance abuse) faced disparities in access to high quality facilities. SETTING/PARTICIPANTS: The analytical sample included 3,729,282 admissions to 15,600 facilities nationwide for 2012-2014. MEASUREMENT: Quality was measured for overall and staffing domains reported by the Centers for Medicare and Medicaid Services in the Five-Star Quality Rating System. Multinomial logistic regression models were used. The base model included the diagnostic groups of interest and state dummies. Patient sociodemographics, functional and cognitive status, and comorbid conditions were sequentially added to the base model to determine the independent effect of having a behavioral health diagnosis at admission. RESULTS: Patients with these conditions experienced disparities accessing to high-quality homes compared to patients without. For example, patients with depression/anxiety had lower access to five-star homes, for the staffing quality domain (Model 3 ORs = 0.88, 0.93, 0.92 in years 1 through 3, respectively) compared to patients with no behavioral health diagnosis. Access disparities were faced not only by patients with serious mental illness, as previously demonstrated, but also patients with substance abuse and with depression/anxiety who account for one-third of all new admissions. CONCLUSIONS: Our findings demonstrate persistence of disparities in access to high quality facilities over time and for patients with a broad range of behavioral health conditions. Further research is needed to understand the impact of these disparities on outcomes of patients with behavioral disorders.

Leveraging Behavioral Health Expertise: Practices and Potential of the Project ECHO Approach to Virtually Integrating Care in Underserved Areas.

This column describes Project ECHO (Extension for Community Healthcare Outcomes), a teleconsultation, tele-education, telementoring model for enhancing primary care treatment of underserved patients with complex medical conditions. Numerous centers have adapted ECHO to support primary care treatment of behavioral health disorders. Preliminary evidence for behavioral health ECHO programs suggests positive impacts on providers, treatment planning, and emergency department costs. ECHO has the potential to improve access to effective and cost-effective behavioral health care by virtually integrating behavioral health knowledge and support in sites where specialty providers are not available. Patient-level outcomes research is critical.

Digitally Driven Integrated Primary Care and Behavioral Health: How Technology Can Expand Access to Effective Treatment.

PURPOSE OF REVIEW: Widespread implementation of integrated primary care and behavioral health is possible, but workforce shortages, competencies to deliver evidence-based approaches, and sufficient reimbursement are lacking. There are numerous telehealth solutions that could be utilized to assist with integration efforts that have the potential to be successfully used alone or in combination. This will require that the developers of such technologies understand the current evidence base for effective integration efforts and apply this knowledge to new solutions. RECENT FINDINGS: Evidence-based models of integrated care such as the collaborative care model have a robust evidence base including studies that demonstrate effective delivery from remote locations. Technology solutions that can serve as practice extenders by performing some of the tasks, and can expand the competency of primary care providers to treat mild to moderate mental illness, have an emerging literature in the behavioral health arena that shows promise for integrating care. More widespread implementation of effective integrated primary care and behavioral health can be accomplished with the help of technology solutions that can address the problems of workforce shortages and competencies. Use of these technologies alone or in combination is a growing area of research and development and an untapped frontier that warrants further investigation.

Telementoring Primary Care Clinicians to Improve Geriatric Mental Health Care.

Health care delivery and payment systems are moving rapidly toward value-based care. To be successful in this new environment, providers must consistently deliver high-quality, evidence-based, and coordinated care to patients. This study assesses whether Project ECHO® (Extension for Community Healthcare Outcomes) GEMH (geriatric mental health)-a remote learning and mentoring program-is an effective strategy to address geriatric mental health challenges in rural and underserved communities. Thirty-three teleECHO clinic sessions connecting a team of specialists to 54 primary care and case management spoke sites (approximately 154 participants) were conducted in 10 New York counties from late 2014 to early 2016. The curriculum consisted of case presentations and didactic lessons on best practices related to geriatric mental health care. Twenty-six interviews with program participants were conducted to explore changes in geriatric mental health care knowledge and treatment practices. Health insurance claims data were analyzed to assess changes in health care utilization and costs before and after program implementation. Findings from interviews suggest that the program led to improvements in clinician geriatric mental health care knowledge and treatment practices. Claims data analysis suggests that emergency room costs decreased for patients with mental health diagnoses. Patients without a mental health diagnosis had more outpatient visits and higher prescription and outpatient costs. Telementoring programs such as Project ECHO GEMH may effectively build the capacity of frontline clinicians to deliver high-quality, evidence-based care to older adults with mental health conditions and may contribute to the transformation of health care delivery systems from volume to value.

The validity, reliability, and utility of the iButton® for measurement of body temperature circadian rhythms in sleep/wake research.

OBJECTIVE: Changes in core body temperature due to heat transfer through the skin have a major influence on sleep regulation. Traditional measures of skin temperature are often complicated by extensive wiring and are not practical for use in normal living conditions. This review describes studies examining the reliability, validity and utility of the iButton®, a wireless peripheral thermometry device, in sleep/wake research. METHODS: A review was conducted of English language literature on the iButton as a measure of circadian body temperature rhythms associated with the sleep/wake cycle. RESULTS: Seven studies of the iButtton as a measure of human body temperature were included. The iButton was found to be a reliable and valid measure of body temperature. Its application to human skin was shown to be comfortable and tolerable with no significant adverse reactions. Distal skin temperatures were negatively correlated with sleep/wake activity, and the temperature gradient between the distal and proximal skin (DPG) was identified as an accurate physiological correlate of sleep propensity. Methodological issues included site of data logger placement, temperature masking factors, and temperature data analysis. CONCLUSIONS: The iButton is an inexpensive, wireless data logger that can be used to obtain a valid measurement of human skin temperature. It is a practical alternative to traditional measures of circadian rhythms in sleep/wake research. Further research is needed to determine the utility of the iButton in vulnerable populations, including those with neurodegenerative disorders and memory impairment and pediatric populations.