Implementation of a virtual and in-person hybrid hospital-at-home model in two geographically separate regions utilizing a single command center: a descriptive cohort study.

BACKGROUND: As providers look to scale high-acuity care in the patient home setting, hospital-at-home is becoming more prevalent. The traditional model of hospital-at-home usually relies on care delivery by in-home providers, caring for patients in urban communities through academic medical centers. Our objective is to describe the process and outcomes of Mayo Clinic's Advanced Care at Home (ACH) program, a hybrid virtual and in-person hospital-at-home model combining a single, virtual provider-staffed command center with a vendor-mediated in-person medical supply chain to simultaneously deliver care to patients living near an urban hospital-at-home command center and patients living in a rural region in a different US state and time zone. METHODS: A descriptive, retrospective medical records review of all patients admitted to ACH between July 6, 2020, and December 31, 2021. Patients were admitted to ACH from an urban academic medical center in Florida and a rural community hospital in Wisconsin. We collected patient volumes, age, sex, race, ethnicity, insurance type, primary hospital diagnosis, 30-day mortality rate, in-program mortality, 30-day readmission rate, rate of return to hospital during acute phase, All Patient Refined-Diagnosis Related Groups (APR-DRG) Severity of Illness (SOI), and length of stay (LOS) in both the inpatient-equivalent acute phase and post-acute equivalent restorative phase. RESULTS: Six hundred and eighty-six patients were admitted to the ACH program, 408 in Florida and 278 in Wisconsin. The most common diagnosis seen were infectious pneumonia (27.0%), septicemia / bacteremia (11.5%), congestive heart failure exacerbation (11.5%), and skin and soft tissue infections (6.3%). Median LOS in the acute phase was 3 days (IQR 2-5) and median stay in the restorative phase was 22 days (IQR 11-26). In-program mortality rate was 0% and 30-day mortality was 0.6%. The mean APR-DRG SOI was 2.9 (SD 0.79) and the 30-day readmission rate was 9.7%. CONCLUSIONS: The ACH hospital-at-home model was able to provide both high-acuity inpatient-level care and post-acute care to patients in their homes through a single command center to patients in urban and rural settings in two different geographical locations with favorable outcomes of low mortality and hospital readmissions.

Severity of illness and risk of mortality in Mayo Clinic's virtual hybrid advanced care at home program: a retrospective cohort study.

BACKGROUND: In July 2020, Mayo Clinic launched Advanced Care at Home (ACH), a high-acuity virtual hybrid hospital-at-home model (HaH) of care at Mayo Clinic Florida and Northwest Wisconsin, an urban destination medical center and a rural community practice respectively. This study aims to describe demographic characteristics of ACH patients as well as their acuity of illness using severity of illness (SOI) and risk of mortality (ROM), to illustrate the complexity of patients in the program, taking into account the different diagnostic related groups. METHODS: Mayo Clinic uses All Patient Refined-Diagnosis Related Groups (APR-DRG) to calculate SOI and ROM on hospitalized patients. APR-DRG data, including SOI and ROM, were gathered from individual chart reviews from July 6, 2020, to March 31, 2022. RESULTS:  Out of 923 patients discharged from ACH, the average APR-DRG SOI was 2.89 (SD 0.81) and ROM was 2.73. (SD 0.92). Mean age was 70.88 (SD 14.46) years, 54.6% were male patients and the average length of stay was 4.10 days. The most frequent diagnosis was COVID-19 infection with 162 patients (17.6%), followed by heart failure exacerbation (12.7%) and septicemia (10.9%). The 30-day readmission rate after discharge from ACH was 11.2% (n = 103) and the 30-day mortality rate was 1.8% (n = 17). There were no in-program patient deaths. CONCLUSIONS: SOI and ROM from patients at the ACH program have been shown to be in the range of "moderate/major" according to the APR-DRG classification. The ACH program is capable of accepting and managing highly complex patients that require advanced therapeutic means. Furthermore, the ACH program has an in-program mortality rate of 0 to date. Therefore, ACH is rising as a capable alternative to the brick-and-mortar hospital.

Patient Satisfaction With a Multisite, Multiregional Remote Patient Monitoring Program for Acute and Chronic Condition Management: Survey-Based Analysis.

BACKGROUND: Remote patient monitoring (RPM) is an option for continuously managing the care of patients in the comfort of their homes or locations outside hospitals and clinics. Patient engagement with RPM programs is essential for achieving successful outcomes and high quality of care. When relying on technology to facilitate monitoring and shifting disease management to the home environment, it is important to understand the patients' experiences to enable quality improvement. OBJECTIVE: This study aimed to describe patients' experiences and overall satisfaction with an RPM program for acute and chronic conditions in a multisite, multiregional health care system. METHODS: Between January 1, 2021, and August 31, 2022, a patient experience survey was delivered via email to all patients enrolled in the RPM program. The survey encompassed 19 questions across 4 categories regarding comfort, equipment, communication, and overall experience, as well as 2 open-ended questions. Descriptive analysis of the survey response data was performed using frequency distribution and percentages. RESULTS: Surveys were sent to 8535 patients. The survey response rate was 37.16% (3172/8535) and the completion rate was 95.23% (3172/3331). Survey results indicated that 88.97% (2783/3128) of participants agreed or strongly agreed that the program helped them feel comfortable managing their health from home. Furthermore, 93.58% (2873/3070) were satisfied with the RPM program and ready to graduate when meeting the program goals. In addition, patient confidence in this model of care was confirmed by 92.76% (2846/3068) of the participants who would recommend RPM to people with similar conditions. There were no differences in ease of technology use according to age. Those with high school or less education were more likely to agree that the equipment and educational materials helped them feel more informed about their care plans than those with higher education levels. CONCLUSIONS: This multisite, multiregional RPM program has become a reliable health care delivery model for the management of acute and chronic conditions outside hospitals and clinics. Program participants reported an excellent overall experience and a high level of satisfaction in managing their health from the comfort of their home environment.

Avoiding Escalation to the Emergency Department by Activating an In-Home Rapid Response Team in the 30 Days After Hospital-at-Home Discharge.

BACKGROUND: Mayo Clinic's virtual hybrid hospital-at-home program, Advanced Care at Home (ACH) monitors acute and post-acute patients for signs of deterioration and institutes a rapid response (RR) system if detected. OBJECTIVE: This study aimed to describe Mayo Clinic's ACH RR team and its effect on emergency department (ED) use and readmission rates. METHODS: This was a retrospective review of all post-inpatient (restorative phase) ACH patients admitted from July 6, 2020 through June 30, 2021. If the restorative patient had a clinical decompensation, an RR was activated. All RR activations were analyzed for patient demographic characteristics, admitting and escalation diagnosis, time spent by virtual team on the RR, and whether the RR resulted in transport to the ED or hospital readmission. RESULTS: Three hundred and twenty patients were admitted to ACH during the study interval; 230 received restorative care. Seventy-two patients (31.3%) had events that triggered an RR. Fifty (69.4%) of the RR events were related to the admission diagnosis (p < 0.001; 95% CI 0.59-0.80). Twelve patients (16.7%) required transport to an ED for further treatment and were readmitted and 60 patients (83.3%) were able to be treated successfully in the home by the RR team (p < 0.001; 95% CI 0.08-0.25). CONCLUSIONS: The use of an ACH RR team was effective at limiting both escalations back to an ED and hospital readmissions, as 83% of deteriorating patients were successfully stabilized and managed in their homes. Implementing a hospital-at-home RR team can reduce the need for ED use by providing critical resources and carrying out required interventions to stabilize the patient's condition.

Smartphones and Threshold-Based Monitoring Methods Effectively Detect Falls Remotely: A Systematic Review.

In the US, at least one fall occurs in at least 28.7% of community-dwelling seniors 65 and older each year. Falls had medical costs of USD 51 billion in 2015 and are projected to reach USD 100 billion by 2030. This review aims to discuss the extent of smartphone (SP) usage in fall detection and prevention across a range of care settings. A computerized search was conducted on six electronic databases to investigate the use of remote sensing technology, wireless technology, and other related MeSH terms for detecting and preventing falls. After applying inclusion and exclusion criteria, 44 studies were included. Most of the studies targeted detecting falls, two focused on detecting and preventing falls, and one only looked at preventing falls. Accelerometers were employed in all the experiments for the detection and/or prevention of falls. The most frequent course of action following a fall event was an alarm to the guardian. Numerous studies investigated in this research used accelerometer data analysis, machine learning, and data from previous falls to devise a boundary and increase detection accuracy. SP was found to have potential as a fall detection system but is not widely implemented. Technology-based applications are being developed to protect at-risk individuals from falls, with the objective of providing more effective and efficient interventions than traditional means. Successful healthcare technology implementation requires cooperation between engineers, clinicians, and administrators.

Psychologic wellness of PA, NP, and physician hospitalists during the COVID-19 pandemic.

OBJECTIVES: Hospitalists, comprising PAs, NPs, and physicians, manage patients hospitalized with COVID-19. To guide the development of support programs, this study compared the psychologic wellness of hospitalist PAs, NPs, and physicians during the COVID-19 pandemic. METHODS: We surveyed hospitalists in 16 hospitals at Mayo Clinic, from May 4 to 25, 2020. We used PROMIS surveys for self-reported global well-being (two single-item measures), anxiety, social isolation, and emotional support, before and during the pandemic. Linear and logistic regression models were adjusted for personal and professional factors. RESULTS: The response rate was 52.2% (N = 154/295). In adjusted linear regression models, the change in scores (before minus during pandemic) for anxiety, social isolation, and emotional support was similar for PAs and NPs compared with physicians. In adjusted logistic regression models, physicians, compared with PAs and NPs, had a higher odds of top global well-being for mental health (adjusted odds ratio [95% confidence interval]: 2.82 [1.12, 7.13]; P = .03) and top global well-being for social activities and relationships (adjusted odds ratio 4.08 [1.38, 12.08]; P = .01). CONCLUSIONS: During the COVID-19 pandemic, global well-being was lower for PAs and NPs compared with physician hospitalists. These results can guide support programs for hospitalists.

Home Telemonitoring to Reduce Readmission of High-Risk Patients: a Modified Intention-to-Treat Randomized Clinical Trial.

BACKGROUND: Home telemonitoring has been used with discharged patients in an attempt to reduce 30-day readmissions with mixed results. OBJECTIVE: To assess whether home 30-day telemonitoring after discharge for patients at high risk of readmission would reduce readmissions or mortality. DESIGN: Prospective, randomized controlled trial. PATIENTS: We compared 30-day readmission rates and mortality for patients at high risk for readmission who received home telemonitoring versus standard care between November 1, 2014, and November 30, 2018, in 2 tertiary care hospitals. INTERVENTIONS: The intervention group received home-installed equipment to measure blood pressure, heart rate, pulse oximetry, weight if heart failure was present, and glucose if diabetes was present. Results were transmitted daily and reviewed by a nurse. Both groups received standard care. MAIN MEASURES: The primary outcome was a composite end point of hospital readmission or death within 30 days after discharge. The secondary outcome was an emergency department visit within 30 days after discharge. KEY RESULTS: A total of 1380 participants (mean [SD] age, 66 [14] years; 722 [52.3%] men and 658 [47.7%] women) participated in this study. Using a modified intention-to-treat analysis, the risk of readmission or death within 30 days among patients at high readmission risk was 23.7% (137/578) in the control group and 18.2% (87/477) in the telemonitoring group (absolute risk difference, - 5.5% [95% CI, - 10.4 to - 0.6%]; relative risk, 0.77 [95% CI, 0.61 to 0.98]; P = .03). Emergency department visits occurred within 30 days after discharge in 14.2% (81/570) of patients in the control group and 8.6% (40/464) of patients in the telemonitoring group (absolute risk difference, - 5.6% [95% CI, - 9.4 to - 1.8%]; relative risk, 0.61 [95% CI, 0.42 to 0.87]; P = .005). CONCLUSIONS: Thirty days of postdischarge telemonitoring may reduce readmissions of high-risk patients. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02136186.

Older adults on involuntary hold status in the emergency department.

BACKGROUND: As the United States' population ages, the health care system will experience overall change. This study aims to identify factors in the older adult that may contribute to involuntary hold status in the ED. METHODS: This study is a retrospective review conducted at a suburban acute-care hospital ED of adult patients evaluated while on involuntary hold from January 1, 2014, through November 30, 2015. Older adults (patients born on or before 06/31/1964) were compared to younger adults (born on or after 07/01/1964) according to demographic and clinical variables including medical comorbidity, ED length of stay, reason for involuntary hold, psychiatric disorder, suicide attempt, substance use disorder, serum alcohol level, urine drug testing, medical comorbidity, violence in the ED, 30-day ED readmission, and 30-day mortality. RESULTS: Of 251 patients, 90 (35.9%) were older adults. The most common reason for involuntary hold in both cohorts was suicidal ideation. Medical comorbidities were more prevalent in older adults [60 (66.7%) vs. 64 (39.8%), P ≤.0001]. Older adults were less likely to report current drug abuse [31 (34.4%) vs. 77 (47.8%), P = .04]. The most commonly misused substance in both groups was alcohol; however, despite similar rates, blood alcohol levels (BAC) and urine drug screen (UDS) were performed less often in older adults. Cohorts were not significantly different with respect to sex, race, violence in the ED, psychiatric diagnosis, and ED LOS. CONCLUSIONS: Involuntary older adult patients present with medical comorbidities that impact mental health. In the ED, they are less likely report substance use, and drug screening may be underutilized. Medical needs make their care unique and may present challenges in transfer of care to inpatient psychiatric facilities.

Involuntary patient length-of-stay at a suburban emergency department.

BACKGROUND: Patients who may be a danger to themselves or others often are placed on involuntary hold status in the Emergency Department (ED). Our primary objective was to determine if there are demographic and/or clinical variables of involuntary hold patients which were associated with an increased ED LOS. METHODS: Records of ED patients evaluated while on involuntary hold from January 1, 2014 through November 30, 2015 at a suburban acute-care hospital ED were reviewed. Data collected included demographics information, LOS, suicidal or homicidal ideation, suicide attempt, blood alcohol concentration (BAC), urine drug test (UDT), psychiatric disorder, substance use, medical illness, violence in the ED, and hospital admission. Linear regression based on the log of LOS was used to identify factors associated with increased LOS. RESULTS: Two-hundred and fifty-one patients were included in the study. ED LOS (median) was 6 h (1, 49). Linear regression analysis showed increased LOS was associated with BAC (p = 0.05), urine drug test (UDT) (p = 0.05) and UDT positive for barbiturates (p = 0.01). There was no significant difference in ED LOS with respect to age, gender, housing, psychiatric diagnosis, suicidal or homicidal ideation, suicide attempt, violence, medical diagnosis, or admission status. CONCLUSIONS: Involuntary hold patients had an increased ED LOS associated with alcohol use, urine drug test screening, and barbiturate use. Protocol development to help stream-line ED evaluation of alcohol and drug use may improve ED LOS in this patient population.

Patients Threatening Harm to Others Evaluated in the Emergency Department under the Florida Involuntary Hold Act (Baker Act).

OBJECTIVES: This study describes the specific threats of harm to others that led to the use of the Baker Act, the Florida involuntary hold act for emergency department (ED) evaluations. The study also summarizes patient demographics, concomitant psychiatric diagnoses, and emergent medical problems. METHODS: This is a retrospective review of 251 patients evaluated while on involuntary hold from January 1, 2014 through November 30, 2015 at a suburban acute care hospital ED. The data that were collected included demographic information, length of stay, reason for the involuntary hold, psychiatric disorder, substance use, medical illness, and violence in the ED. The context of the homicidal threat also was collected. RESULTS: We found that 13 patients (5.2%) were homicidal. Three patients had homicidal ideations alone, whereas 10 made homicidal threats toward others. Of the 10 making homicidal threats, 7 named a specific person to harm. Ten of the 13 homicidal patients (76.9%) also were suicidal. Eleven patients (84.6%) had a psychiatric disorder: 9 patients (69.2%) had a depressive disorder and 8 patients (61.5%) had a substance use disorder. Eight patients had active medical problems that required intervention in the ED. CONCLUSIONS: We found that three-fourths of patients expressing homicidal threats also were suicidal. The majority of patients making threats of harm had a specific plan of action to carry out the threat. It is important to screen any patient making homicidal threats for suicidal ideation. If present, there is a need to implement immediate management appropriate to the level of the suicidal threat, for the safety of the patient. Eighty-five percent of patients making a homicidal threat had a previously documented psychiatric disorder, the most common being a depressive disorder. This finding differs from previous studies in which psychosis predominated. More than 60% of homicidal patients had an unrelated medical disorder requiring intervention. It is important not to overlook these medical disorders while focusing on the psychiatric needs of the patient; most of our homicidal patients proved to be cooperative in the ED setting.

Patients on Involuntary Hold Status in the Emergency Department.

OBJECTIVES: Patients requiring involuntary holds are frequently seen in the emergency department (ED). Much of what is known comes from studies of patients at urban academic centers. Our aim was to describe the demographic and clinical characteristics of patients who were evaluated while on involuntary status at a suburban ED. METHODS: The medical records of patients seen in the ED requiring involuntary hold status between January 1, 2014 and November 30, 2015 were reviewed. Demographic and clinical variables including medical and psychiatric comorbidity were collected. A subanalysis was performed comparing patients who attempted suicide with all other involuntary patients. RESULTS: Two hundred fifty-one patient records were reviewed; 215 patients (85.3%) had psychiatric disorders-depression was the most common (57%)-and 108 patients (43%) had substance use disorders. Only 13 patients (5.2%) had neither a psychiatric disorder nor a history of substance use. Twenty-two patients (8.8%) were violent in the ED. Thirteen patients (5.2%) were readmitted, and 1 patient died within 30 days of discharge from the ED. One hundred twenty-four patients (49.4%) had medical disorders. Suicidal ideation was the most common reason for involuntary hold (n = 185, 73.7%); 63 patients (25.1%) attempted suicide. Compared with other involuntary patients, the patients who attempted suicide were less likely to use opiates (odds ratio 0.27, 95% confidence interval 0.08-0.94, P = 0.04) and to have medical disorders (odds ratio 0.52, 95% confidence interval 0.28-0.98, P = 0.04). CONCLUSIONS: Patients in this study differed from those in urban centers with respect to sex and psychiatric disorder; however, substance misuse was common in both settings. Suicidal ideation including suicide attempt was the most common reason for involuntary status. Patients who attempted suicide were similar to other patients on involuntary hold with respect to demographic and clinical variables.

Violent behavior by emergency department patients with an involuntary hold status.

BACKGROUND: Violence against health care workers has been increasing. Health care workers in emergency departments (EDs) are highly vulnerable because they provide care for patients who may have mental illness, behavioral problems, or substance use disorders (alone or in combination) and who are often evaluated during an involuntary hold. Our objective was to identify factors that may be associated with violent behavior in ED patients during involuntary holds. METHODS: Retrospective review of patients evaluated during an involuntary hold at a suburban acute care hospital ED from January 2014 through November 2015. RESULTS: Of 251 patients, 22 (9%) had violent incidents in the ED. Violent patients were more likely to have a urine drug screen positive for tricyclic antidepressants (18.2% vs 4.8%, P=0.03) and to present with substance misuse (68.2% vs 39.7%, P=0.01), specifically with marijuana (22.7% vs 9.6%, P=0.06) and alcohol (54.5% vs 24.9%, P=0.003). ED readmission rates were higher for violent patients (18.2% vs 3.9%, P=0.02). No significant difference was found between violent patients and nonviolent patients for sex, race, marital status, insurance status, medical or psychiatric condition, reason for involuntary hold, or length of stay. CONCLUSION: Violent behavior by patients evaluated during an involuntary hold in a suburban acute care hospital ED was associated with tricyclic antidepressant use, substance misuse, and higher ED readmission rates.

Association of Anemia with Outcomes of Acute Heart Failure.

OBJECTIVES: Anemia is common in patients presenting with acute congestive heart failure (CHF); when hemoglobin (HGB) declines to low levels, it can result in worse outcomes. The aim of this study was to determine a level of HGB on admission or discharge that affects outcomes in patients with CHF and then to evaluate the effect of the low HGB levels on these outcomes. METHODS: We conducted a retrospective cohort study of 756 patients admitted with acute CHF during the period January 1, 2011-December 31, 2014. We used multivariable regression analysis to evaluate the relation among HGB levels and three major outcomes: 3-year mortality, 30-day readmission rate, and length of stay (LOS). RESULTS: Compared with patients with HGB ≥10 g/dL, patients with HGB <10 g/dL on discharge from the hospital had higher mortality (3-year survival 46% vs 33%, P = 0.023) and 30-day readmission rates (23% vs 14%; P = 0.008) and increased LOS (4.8 vs 3.2 days, P < 0.001). Patients with admission HGB <10 g/dL had higher mortality rates (3-year survival 45% vs 32%, P = 0.019) and increased LOS (4.5 vs 3.4 days, P = 0.014). A lower admission HGB value was associated with higher 30-day readmission rates, but it was not statistically significant (P = 0.06). CONCLUSIONS: An HGB level <10 g/dL on admission or discharge in patients hospitalized with acute CHF is associated with a significantly worse outcome.

A multidisciplinary approach to reducing alarm fatigue and cost through appropriate use of cardiac telemetry.

BACKGROUND: Alarm fatigue (AF) is a distressing factor for staff and patients in the hospital. Using cardiac telemetry (CT) without clinical indications can create unnecessary alarms, and increase AF and cost of healthcare. We sought to reduce AF and cost associated with CT monitoring. METHODS: After implementing a new protocol for CT placement, data were collected on telemetry orders, alarms and bed cost for 13 weeks from 1 January 2015 through 31 March 2015. We also retrospectively collected data on the same variables for the 13 weeks prior to the intervention. A survey was administered to nurses to assess past and present perceptions of AF. Interventions included protocol creation and education for participants. RESULTS: At baseline, 77% of patients were monitored with CT. A total of 145 (31%) order discrepancies were discovered during data collection, of which 72% had no indication for CT, so CT was discontinued. The other 28% had indications, so orders were placed. A total of 8336 alarms were recorded during 4 weeks of data collection, of which 333 (4%) were classified as true actionable alarms. Postintervention data showed 67% CT assignment with 10% reduction in CT usage, with no increase in mortality (p<0.001 and >0.05, respectively). A 42% cost reduction was achieved after adjusting the patient status. Nurses reported 27% perceived reduction in AF. One-year follow-up revealed that 69% of patients were being monitored by CT, and the rate of order discrepancies due to lack of indication was 9%. CONCLUSION: All hospital units may benefit from the protocols created during this study. If applied appropriately, these protocols can lead to reduced AF and cost per episode of care.

Bypassing the Brick-and-Mortar Hospital: Increasing Direct Admissions from the Emergency Department to Inpatient Hospital-at-Home.

Home hospital programs continue to grow across the United States. There are limited studies around the process of patient selection and successful acquisition from the emergency department. The article describes how an interdisciplinary team used quality improvement methodology to significantly increase the number of admissions directly from the emergency department to the Advanced Care at Home program.

Development and evaluation of best practice advisory alert for patient eligibility in a hospital-at-home program: A multicenter retrospective study.

BACKGROUND: Hospital-at-home (HaH) is a growing model of care that has been shown to improve patient outcomes, satisfaction, and cost-effectiveness. However, selecting appropriate patients for HaH is challenging, often requiring burdensome manual screening by clinicians. To facilitate HaH enrollment, electronic health record (EHR) tools such as best practice advisories (BPAs) can be used to alert providers of potential HaH candidates. OBJECTIVE: To describe the development and implementation of a BPA for identifying HaH eligible patients in Mayo Clinic's Advanced Care at Home (ACH) program, and to evaluate the provider response and the patient characteristics that triggered the BPA. DESIGN, SETTING, AND PARTICIPANTS: We conducted a retrospective multicenter study of hospitalized patients who triggered the BPA notification for ACH eligibility between March and December 2021 at Mayo Clinic in Jacksonville, FL and Mayo Clinic Health System in Eau Claire, WI. We extracted demographic and diagnosis data from the patients as well as characteristics of the providers who received the BPA notification. INTERVENTION: The BPA was developed based on the ACH inclusion and exclusion criteria, which were derived from clinical guidelines, literature review, and expert consensus. The BPA was integrated into the EHR and displayed a pop-up message to the provider when a patient met the criteria for ACH eligibility. The provider could choose to refer the patient to ACH, dismiss the notification, or defer the decision. MAIN OUTCOMES AND MEASURES: The main outcomes were the number and proportion of BPA notifications that resulted in a referral to ACH, and the number and proportion of referrals that were accepted by the ACH clinical team and transferred to ACH. We also analyzed the factors associated with the provider's decision to refer or not refer the patient to ACH, such as the provider's role, location, and specialty. RESULTS: During the study period, 8962 notifications were triggered for 2847 patients. Providers opted to refer 711 (11.4%) of the total notifications linked to 324 unique patients. After review by the ACH clinical team, 31 of the 324 referrals (9.6%) met clinical and social criteria and were transferred to ACH. In multivariable analysis, Wisconsin nurses, physician assistants, and in-training personnel had lower odds of referring the patients to ACH when compared to attending physicians.

Artificial Intelligence Support for Informal Patient Caregivers: A Systematic Review.

This study aims to explore how artificial intelligence can help ease the burden on caregivers, filling a gap in current research and healthcare practices due to the growing challenge of an aging population and increased reliance on informal caregivers. We conducted a search with Google Scholar, PubMed, Scopus, IEEE Xplore, and Web of Science, focusing on AI and caregiving. Our inclusion criteria were studies where AI supports informal caregivers, excluding those solely for data collection. Adhering to PRISMA 2020 guidelines, we eliminated duplicates and screened for relevance. From 947 initially identified articles, 10 met our criteria, focusing on AI's role in aiding informal caregivers. These studies, conducted between 2012 and 2023, were globally distributed, with 80% employing machine learning. Validation methods varied, with Hold-Out being the most frequent. Metrics across studies revealed accuracies ranging from 71.60% to 99.33%. Specific methods, like SCUT in conjunction with NNs and LibSVM, showcased accuracy between 93.42% and 95.36% as well as F-measures spanning 93.30% to 95.41%. AUC values indicated model performance variability, ranging from 0.50 to 0.85 in select models. Our review highlights AI's role in aiding informal caregivers, showing promising results despite different approaches. AI tools provide smart, adaptive support, improving caregivers' effectiveness and well-being.

Staff Successes and Challenges with Telecommunications-Facilitated Patient Care in Hybrid Hospital-at-Home during the COVID-19 Pandemic.

Technology-enhanced hospital-at-home (H@H), commonly referred to as hybrid H@H, became more widely adopted during the COVID-19 pandemic. We conducted focus group interviews with Mayo Clinic staff members (n = 14) delivering hybrid H@H in three separate locations-a rural community health system (Northwest Wisconsin), the nation's largest city by area (Jacksonville, FL), and a desert metropolitan area (Scottsdale, AZ)-to understand staff experiences with implementing a new care delivery model and using new technology to monitor patients at home during the pandemic. Using a grounded theory lens, transcripts were analyzed to identify themes. Staff reported that hybrid H@H is a complex care coordination and communication initiative, that hybrid H@H faces site-specific challenges modulated by population density and state policies, and that many patients are receiving uniquely high-quality care through hybrid H@H, partly enabled by advances in technology. Participant responses amplify the need for additional qualitative research with hybrid H@H staff to identify areas for improvement in the deployment of new models of care enabled by modern technology.

Why U.S. Patients Declined Hospital-at-Home during the COVID-19 Public Health Emergency: An Exploratory Mixed Methods Study.

To understand why US patients refused participation in hospital-at-home (H@H) during the coronavirus disease 2019 Public Health Emergency, eligible adult patients seen at 2 Mayo Clinic sites, Mayo Clinic Health System-Northwest Wisconsin region (NWWI) and Mayo Clinic Florida (MCF), from August 2021 through March 2022, were invited to participate in a convergent-parallel study. Quantitative associations between H@H participation status and patient baseline data at hospital admission were investigated. H@H patients were more likely to have a Mayo Clinic patient portal at baseline (P-value: .014), indicating a familiarity with telehealth. Patients who refused were more likely to be from NWWI (P-value < .001) and have a higher Epic Deterioration Index score (P-value: .004). The groups also had different quarters (in terms of fiscal calendar) of admission (P-value: .040). Analyzing qualitative interviews (n = 13) about refusal reasons, 2 themes portraying the quantitative associations emerged: lack of clarity about H@H and perceived domestic challenges. To improve access to H@H and increase patient recruitment, improved education about the dynamics of H@H, for both hospital staff and patients, and inclusive strategies for navigating domestic barriers and diagnostic challenges are needed.

Global well-being, anxiety, social isolation, and emotional support among hospitalists during COVID-19 and Mpox outbreaks.

OBJECTIVE: The Coronavirus Disease-19 (COVID-19) pandemic caused a decline in hospitalist wellness. The COVID-19 pandemic has evolved, and new outbreaks (i.e. Mpox) have challenged healthcare systems. The objective of the study was to assess changes in hospitalist wellness and guide interventions. METHODS: We surveyed hospitalists (physicians and advanced practice providers [APPs]), in May 2021 and September 2022, at a healthcare system's 16 hospitals in four US states using PROMIS® measures for global well-being, anxiety, social isolation, and emotional support. We compared wellness score between survey periods; in the September 2022 survey, we compared wellness scores between APPs and physicians and evaluated the associations of demographic and hospital characteristics with wellness using logistic (global well-being) and linear (anxiety, social isolation, emotional support) regression models. RESULTS: In May 2021 vs. September 2022, respondents showed no statistical difference in top global well-being for mental health (68.4% vs. 57.4%) and social activities and relationships (43.8% vs. 44.3%), anxiety (mean difference: +0.8), social isolation (mean difference: +0.5), and emotional support (mean difference: -1.0) (all, p ≥ 0.05). In September 2022, in logistic regression models, APPs, compared with physicians, had lower odds for top (excellent or very good) global well-being mental health (odds ratio [95% CI], 0.31 [0.13-0.76]; p < 0.05). In linear regression models, age <40 vs. ≥40 years was associated with higher anxiety (estimate ± standard error, 2.43 ± 1.05; p < 0.05), and concern about contracting COVID-19 at work was associated with higher anxiety (3.74 ± 1.10; p < 0.01) and social isolation (3.82 ± 1.21; p < 0.01). None of the characteristics showed association with change in emotional support. In September 2022, there was low concern for contracting Mpox in the community (4.6%) or at work (10.0%). CONCLUSION: In hospitalists, concern about contracting COVID-19 at work was associated with higher anxiety and social isolation. The unchanged wellness scores between survey periods identified opportunities for intervention. Mpox had apparently minor impact on wellness.