Understanding social risk factors in patients presenting to the emergency Department for Acute Heart Failure: A pilot study.

BACKGROUND: The standard of care for congestive heart failure (CHF) aims to slow disease progression and maximize patient function, however there is an increase in emergency department (ED) revisits and readmissions. Social risk factors play a role in the disease management and prognosis of CHF. There is a gap in the identification of low-risk CHF patient who would be safely discharged using an initial social risk factor stratification. OBJECTIVES: To generate a social risk profile for patients presenting to the ED with acute CHF exacerbation and identify variables that may increase the risk of 7-day and overall mortality, 30-day ED revisit, and readmission. METHODS: We conducted a pilot prospective survey-based study among adult patients presenting to the ED with acute CHF exacerbation. The combination of a self-report questionnaire and retrospective chart review was used to generate a CHF risk profile. RESULTS: A total of 62 patients were recruited in the pilot study with a mean age of 69.5 years. The preliminary data indicated that prior to this ED visit, 21% of patients were not aware of a previous CHF diagnosis; 64.5% of patients rated their sleep quality as poor or very poor; 72.6% reported orthopnea; and 43.5% reported recent weight gain. 37.1% of patients did not adhere to dietary recommendations and some patients did not adhere to their medication regime 100%. CONCLUSION: This study suggests establishing a social risk profile for patients presenting to the ED with CHF can help formulate a CHF-specific care plan and optimize multidisciplinary management to reduce ED revisits and readmissions.

Associations of microvascular complications with all-cause death in patients with diabetes and COVID-19: The CORONADO, ABCD COVID-19 UK national audit and AMERICADO study groups.

AIM: To provide a detailled analysis of the microvascular burden in patients with diabetes hopitalized for COVD-19. MATERIALS AND METHODS: We analysed data from the French CORONADO initiative and the UK Association of British Clinical Diabetologists (ABCD) COVID-19 audit, two nationwide multicentre studies, and the AMERICADO, a multicentre study conducted in New York area. We assessed the association between risk of all-cause death during hospital stay and the following microvascular complications in patients with diabetes hospitalized for COVID-19: diabetic retinopathy and/or diabetic kidney disease and/or history of diabetic foot ulcer. RESULTS: Among 2951 CORONADO, 3387 ABCD COVID-19 audit and 9327 AMERICADO participants, microvascular diabetic complications status was ascertained for 1314 (44.5%), 1809 (53.4%) and 7367 (79.0%) patients, respectively: 1010, 1059 and 1800, respectively, had ≥1 severe microvascular complication(s) and 304, 750 and 5567, respectively, were free of any complications. The patients with isolated diabetic kidney disease had an increased risk of all-cause death during hospital stay: odds ratio [OR] 2.53 (95% confidence interval [CI] 1.66-3.83), OR 1.24 (95% CI 1.00-1.56) and OR 1.66 (95% CI 1.40-1.95) in the CORONADO, the ABCD COVID-19 national audit and the AMERICADO studies, respectively. After adjustment for age, sex, hypertension and cardiovascular disease (CVD), compared to those without microvascular complications, patients with microvascular complications had an increased risk of all-cause death during hospital stay in the CORONADO, the ABCD COVID-19 diabetes national audit and the AMERICADO studies: adjusted OR (adj OR) 2.57 (95% CI 1.69-3.92), adj OR 1.22 (95% CI 1.00-1.52) and adj OR 1.33 (95% CI 1.15-1.53), respectively. In meta-analysis of the three studies, compared to patients free of complications, those with microvascular complications had an unadjusted OR for all-cause death during hospital stay of 2.05 (95% CI 1.42-2.97), which decreased to 1.62 (95% CI 1.19-2.119) after adjustment for age and sex, and to 1.50 (1.12-2.02) after hypertension and CVD were further added to the model. CONCLUSION: Microvascular burden is associated with an increased risk of death in patients hospitalized for COVID-19.

Application of the RE-AIM framework to evaluate the implementation of telehealth pulmonary rehabilitation in a randomized controlled trial among African-American and Hispanic patients with advanced stage Chronic Obstructive Pulmonary Disease.

BACKGROUND: Pulmonary rehabilitation (PR) decreases rehospitalization for people with COPD. However, less than 2% receive PR, partly due to lack of referral and sparsity of PR facilities. This disparity is particularly pronounced in African American and Hispanic persons with COPD. Telehealth-provided PR could increase access and improve health outcomes. METHODS: We applied the RE-AIM framework in a post-hoc analysis of our mixed methods RCT comparing referral to Telehealth-delivered PR (TelePR) versus standard PR (SPR) for African American and Hispanic COPD patients hospitalized for COPD exacerbation. Both arms received a referral to PR for 8 weeks, social worker follow-up, and surveys administered at baseline, 8 weeks, 6, and 12 months. PR sessions were conducted twice a week for 90 min each (16 sessions total). Quantitative data were analyzed using 2-sample t tests or nonparametric Wilcoxon tests for continuous data and χ2/Fisher exact tests for categorical data. Logistic regression-estimated odds ratios (ORs) were used for the intention-to-treat primary outcome. Qualitative interviews were conducted at the end of the study to assess adherence and satisfaction and were analyzed using inductive and deductive methods. The goal was to understand Reach (whether the target population was able to be enrolled), Effectiveness (primary outcome was a composite of 6-month COPD rehospitalization and death), Adoption (proportion of people willing to initiate the program), Implementation (whether the program was able to be executed as intended, and Maintenance (whether the program was continued). RESULTS: Two hundred nine people enrolled out of a 276-recruitment goal. Only 85 completed at least one PR session 57/111 (51%) TelePR; 28/98 (28%) SPR. Referral to TelePR compared to SPR did not decrease the composite outcome of 6-month COPD-readmission rate/death (OR1.35;95%CI 0.69,2.66). There was significant reduction in fatigue (PROMIS® scale) from baseline to 8-weeks in TelePR compared to SPR (MD-1.34; ± SD4.22; p = 0.02). Participants who received TelePR experienced improvements from baseline in several outcomes (ie, before and after 8 weeks of PR) in the following: COPD symptoms, knowledge about COPD management, fatigue, and functional capacity. Among the patients who had 1 initial visit, adherence rates were similar (TelePR arm, 59% of sessions; SPR arm, 63%). No intervention-related adverse events occurred. Barriers to PR adoption included difficulty or reluctance to complete medical clearances and beliefs about PR efficacy. Notably, only 9 participants sustained exercise after program completion. Maintenance of the program was not possible due to low insurance reimbursement and sparsity of Respiratory Therapists. CONCLUSIONS: TelePR can reach COPD patients with health disparities and can be successfully implemented. The small sample size and large confidence intervals prevent conclusion about the relative effectiveness of participating in TelePR compared to SPR. However, improved outcomes were seen for those in TelePR as well as in SPR. Increasing adoption of PR and TelePR requires consideration of comorbidity burden, and perception of PR utility, and must facilitate medical clearances. Given the sparsity of SPR locations, TelePR can overcome at least the barrier of access. However, given the challenges to the uptake and completion of PR - many of the additional barriers in PR (both in TelePR and SPR) need to be addressed. Awareness of these real-world challenges will not only inform implementation of TelePR for clinicians seeking to adopt this platform but will also inform study designers and reviewers regarding the feasibility of approaches to patient recruitment and retention.

Social Determinants of Health, Race, and Diabetes Population Health Improvement: Black/African Americans as a Population Exemplar.

PURPOSE OF REVIEW: To summarize evidence of impact of social determinants of health (SDOH) on diabetes risk, morbidity, and mortality and to illustrate this impact in a population context. RECENT FINDINGS: Key findings from the American Diabetes Association's scientific review of five SDOH domains (socioeconomic status, neighborhood and physical environment, food environment, health care, social context) are highlighted. Population-based data on Black/African American adults illustrate persisting diabetes disparities and inequities in the SDOH conditions in which this population is born, grows, lives, and ages, with historical contributors. SDOH recommendations from US national committees largely address a health sector response, including health professional education, SDOH measurement, and patient referral to services for social needs. Fewer recommendations address solutions for systemic racism and socioeconomic discrimination as root causes. SDOH are systemic, population-based, cyclical, and intergenerational, requiring extension beyond health care solutions to multi-sector and multi-policy approaches to achieve future population health improvement.

Health care consequences of hospitalization with Clostrioides difficile infection: a propensity score matching study.

BACKGROUND: Clostridiodies difficile infection (CDI) has been characterized by the Center for Disease Control and Prevention (CDC) as an urgent public health threat and a major concern in hospital, outpatient and extended-care facilities worldwide. METHODS: A retrospective cohort study of patients aged ≥ 18 hospitalized with CDI in New York State (NYS) between January 1, 2014-December 31, 2016. Data were extracted from NY Statewide Planning and Research Cooperative (SPARCS) and propensity score matching was performed to achieve comparability of the CDI (exposure) and non-CDI (non-exposure) groups. Of the 3,714,486 hospitalizations, 28,874 incidence CDI cases were successfully matched to 28,874 non-exposures. RESULTS: The matched pairs comparison demonstrated that CDI cases were more likely to be readmitted to the hospital at 30 (28.26% vs. 19.46%), 60 (37.65% vs. 26.02%), 90 (42.93% vs. 30.43) and 120 days (46.47% vs. 33.74), had greater mortality rates at 7 (3.68% vs. 2.0%) and 180 days (20.54% vs. 11.96%), with significant increases in length of stay and total hospital charges (p < .001, respectively). CONCLUSIONS: CDI is associated with a large burden on patients and health care systems, significantly increasing hospital utilization, costs and mortality.

Home Telemonitoring of Patients With Type 2 Diabetes: A Meta-Analysis and Systematic Review.

Telehealth has emerged as an evolving care management strategy that is playing an increasingly vital role, particularly with the onset of the coronavirus disease 2019 pandemic. A meta-analysis of 20 randomized controlled trials was conducted to test the effectiveness of home telemonitoring (HTM) in patients with type 2 diabetes in reducing A1C, blood pressure, and BMI over a median 180-day study duration. HTM was associated with a significant reduction in A1C by 0.42% (P = 0.0084). Although we found statistically significant changes in both systolic and diastolic blood pressure (-0.10 mmHg [P = 0.0041] and -0.07 mmHg [P = 0.044], respectively), we regard this as clinically nonsignificant in the context of HTM. Comparisons across different methods of transmitting vital signs suggest that patients logging into systems with moderate interaction with the technology platform had significantly higher reductions in A1C than those using fully automatic transmission methods or fully manual uploading methods. A1C did not vary significantly by study duration (from 84 days to 5 years). HTM has the potential to provide patients and their providers with timely, up-to-date information while simultaneously improving A1C.

COVID-19 Conversations Within Black/Brown Minority Communities: A Stakeholder and Psychoeducation Approach Using Zoom/Facebook Live.

As communities of color are disproportionately affected by COVID-19, there is an urgent need for dissemination of timely and accurate information to community members. In this article, we describe a stakeholder approach for the implementation, evaluation, and lessons learned from COVID-19 Conversations, a program developed and delivered virtually by researchers and academics at Northwell Health. The goal of the program was to address the mental, physical, and psychosocial needs of community members. The program used Zoom/Facebook Live to deliver interactive discussions on topics ranging from health education on COVID-19 and mental health to resources for unmet social needs. This interprofessional, cross-sector collaboration highlights the importance of public health interventions aimed at reducing the spread of COVID-19 through easy online access and culturally relevant community education and outreach.

Goals of care conversation education program: An intervention to help health care professionals break bad news to patients with advanced illness.

The purpose of the study was to measure the effectiveness of communication skills intervention results for healthcare professionals. A multi-site pretest-posttest survey assessing the efficacy of a Goals of Care conversation education program. The program aimed to educate healthcare professionals concerning having Goals of Care conversations with patients and families. This research was implemented in a large healthcare organization in the Northeastern United States. This study found significant differences between pretests and posttests across professions, palliative care specialty, degree types, and years of experience in the participant's self-reported ability and comfort levels in having conversations about Goals of Care with patients and families. Providing education on Goals of Care was effective in improving the knowledge and comfort of health care professionals with conducting advanced illness conversations.

Sociodemographic predictors and transportation patterns of COVID-19 infection and mortality.

BACKGROUND: The United States Centers for Disease Control and Prevention (CDC)-sanctioned prevention strategies have included frequent handwashing with soap and water, covering the mouth and nose with a mask when around others, cleaning and disinfecting maintaining a distance of at least 6 feet from others, etc. Although many of these recommendations are based upon observation and past infection control practices, it is important to combine and explore public data sets to identify predictors of infection, morbidity and mortality to develop more finely honed interventions, based on sociodemographic factors. METHOD: Cross-sectional study of both states in the US and counties in NY state. RESULTS: Population density was found to be significantly associated with state-level coronavirus infection and mortality rate (b = 0.49, 95% confidence interval (CI): 0.34, 0.64, P < .0001). States that have lower socioeconomic status, lower mean age and denser populations are associated with higher incidence rates. In regard to NY state, counties with a higher percentage of minority residents had higher COVID-19 mortality rates (b = 2.61, 95% CI: 0.36, 4.87, P = 0.023). Larger population cohorts were associated with lower COVID-19 mortality rates after adjusting for other variables in the model (b = -1.39, 95% CI: -2.07, -0.71, P < 0.001). Population density was not significantly associated with COVID-19 mortality rates after adjustment across counties in the NY state. Public ridership was not indicative of cases or mortality across states in the USA; however, it is a significant factor associated with incidence (but not mortality) in NY counties. CONCLUSION: Population density was the only significant predictor of mortality across states in the USA. Lower mean age, lower median household incomes and more densely populated states were at higher risk of COVID-19 infection. Population density was not found to be a significant independent variable compared to minority status and socioeconomic factors in the New York epicenter. Meanwhile, public ridership was found to be a significant factor associated with incidence in New York counties.

Acuity patterns of heart failure among emergency departments in a large health system.

BACKGROUND: The prognostic importance of Emergency Heart Failure Mortality Risk Grade (EHMRG) score in assessing short term mortality in Congestive Heart Failure (CHF) patients has been validated in the past, however, few studies have examined acuity patterns in the CHF population across healthcare settings. We aim to understand acuity patterns of CHF patients across a large health system for better resource utilization. METHODS: Retrospective chart review of adult patients with acute CHF in a large Metropolitan health system was performed in 3 community and 3 academic hospitals between January 2014 and January 2016. We collected demographic data, setting type, and calculated EHMRG score. Descriptive analysis of each hospital and mixed-effects negative binomial models were created to see patterns of acuity versus hospital volume. RESULTS: A total of 3312 Emergency Department (ED) visits among 2490 unique patients were included. Academic and community hospitals had 2168 patients and 1144 patients, respectively. Hospitals with higher volume treated a large amount of lower acuity patients. Academic hospitals had 30% of CHF ED visits in the lowest EHMRG quantile versus 20% at community hospital (p < 0.0001). Compared to EHMRG quantile 5b, hospital volume was 17%, 8% and 5% higher in quantile 1, 2, and 3 with a p-value less than 0.05 (IRR = 1.17; 1.08;1.05), respectively, but were not significant compared to quantile 4 and 5a. Revisit rates were lower in academic hospitals; admission rates were lower in community hospitals. CONCLUSION: Academic hospitals had a higher number of Acute Heart Failure (AHF) patients, larger number of low acuity patients, higher admission rates, but less revisit rates to the ED as compared to community hospitals. We suggest acuity specific interventions will help decrease admission and revisit rates.

Impact of a community health conversation upon advance care planning attitudes and preparation intentions.

Background: Advance care planning conversations and preparations do not occur as frequently as they should. Framing advance care planning as a health behavior and an opportunity for community engagement can help improve community-dwellers' intentions to have discussions and preparations regarding facing serious illness, death and dying.Methods: A multi-setting confidential pre/post paper survey assessing advance care planning discussions and preparation intentions was given to community-dwelling citizens residing in the New York metropolitan area. Survey items were adapted from a previous end of life survey to include questions on chronic illnesses, important conversations, comfort levels and concerns about end of life. The intervention was a 1-hour presentation on advance care planning (importance, laws, effective communication and audience questions)Results: Our study found significant interest in discussing advanced care planning across age groups. There were significant changes for participant intentions regarding: having conversations with loved ones, a health care proxy or similar document and none; as well as differences in participant intentions for discussions with caregiver, family, friends, primary physician and no-one.Conclusion: Educating individuals on the importance of advance care planning may be effective in changing community dwellers' intentions to start the conversation and put advanced care planning measures in place.Abbreviations: ACP: Advance Care Planning; CHAT: Conversations Health and Treatments; EoL: End of Life; HCP: Health Care Proxy; MOLST: Medical Orders for Life-Sustaining Treatments; PCP: Primary Care Physician.

Identifying the barriers and perceptions of non-Hispanic black and Hispanic/Latino persons with uncontrolled type 2 diabetes for participation in a home Telemonitoring feasibility study: a quantitative analysis of those who declined participation, withdrew or were non-adherent.

Objectives: Type 2 Diabetes Mellitus and its complications disproportionately affect non-Hispanic blacks and Hispanic/Latinos more than non-Hispanic whites. These disparities stem from complex interactions between biological, behavioral and socioeconomic factors. In recent years, telemedicine has been used to manage Type 2 Diabetes; however limited recruitment and retention of black and Hispanic/Latino patients into clinical trials exploring the use of telemedicine have necessitated the elucidation of their perceptions regarding participation in such trials. This study investigated patient-reported reasons for declining participation, prematurely terminating participation or demonstrating poor adherence to the study protocol in an ongoing randomized clinical trial, 'Feasibility of Telehealth Management of Diabetes Mellitus type 2 (T2DM) in Black and Hispanic Minority Patients'.Design: Semi-structured interviews comprised of open-ended questions and prompts were conducted by telephone to gauge patients' actual and perceived challenges to participating in the trial and using telemedicine to manage their diabetes. Data were collated with that of the original clinical trial and subsequently content analyzed for overarching themes and trends.Results: Eight semi-structured interviews were completed telephonically. Themes that emerged from analysis included disinterest (47%), inconvenience (33%), lack of perceived benefit (13%), lack of awareness of diabetes diagnosis (7%) and perceived lack of ability to fully participate in the study (7%).Conclusion: Adoption of telemedicine to help minority patients manage diabetes holds promise but is limited by patient factors such as disinterest, inconvenience and lack of perceived benefit. Greater awareness and understanding of these issues will be critical as we strive for greater health equity in disparity patients with uncontrolled diabetes.

Adapting a home telemonitoring intervention for underserved Hispanic/Latino patients with type 2 diabetes: an acceptability and feasibility study.

BACKGROUND: Home telemonitoring is a promising approach to optimizing outcomes for patients with Type 2 Diabetes; however, this care strategy has not been adapted for use with understudied and underserved Hispanic/Latinos (H/L) patients with Type 2 Diabetes. METHODS: A formative, Community-Based Participatory Research approach was used to adapt a home telemonitoring intervention to facilitate acceptability and feasibility for vulnerable H/L patients. Utilizing the ADAPT-ITT framework, key stakeholders were engaged over an 8-month iterative process using a combination of strategies, including focus groups and structured interviews. Nine Community Advisory Board, Patient Advisory, and Provider Panel Committee focus group discussions were conducted, in English and Spanish, to garner stakeholder input before intervention implementation. Focus groups and structured interviews were also conducted with 12 patients enrolled in a 1-month pilot study, to obtain feedback from patients in the home to further adapt the intervention. Focus groups and structured interviews were approximately 2 hours and 30 min, respectively. All focus groups and structured interviews were audio-recorded and professionally transcribed. Structural coding was used to mark responses to topical questions in the moderator and interview guides. RESULTS: Two major themes emerged from qualitative analyses of Community Advisory Board/subcommittee focus group data. The first major theme involved intervention components to maximize acceptance/usability. Subthemes included tablet screens (e.g., privacy/identity concerns; enlarging font sizes; lighter tablet to facilitate portability); cultural incongruence (e.g., language translation/literacy, foods, actors "who look like me"); nursing staff (e.g., ensuring accessibility; appointment flexibility); and, educational videos (e.g., the importance of information repetition). A second major theme involved suggested changes to the randomized control trial study structure to maximize participation, including a major restructuring of the consenting process and changes designed to optimize recruitment strategies. Themes from pilot participant focus group/structured interviews were similar to those of the Community Advisory Board such as the need to address and simplify a burdensome consenting process, the importance of assuring privacy, and an accessible, culturally congruent nurse. CONCLUSIONS: These findings identify important adaptation recommendations from the stakeholder and potential user perspective that should be considered when implementing home telemonitoring for underserved patients with Type 2 Diabetes. TRIAL REGISTRATION: NCT03960424; ClinicalTrials.gov (US National Institutes of Health). Registered 23 May 2019. Registered prior to data collection. https://www.clinicaltrials.gov/ct2/show/NCT03960424?term=NCT03960424&draw=2&rank=1.

Knowledge, Attitudes, and Interactions with Chaplains and Nursing Staff Outcomes: A Survey Study.

We conducted a cross-sectional survey of nursing staff (n = 51) in an academic hospital finding a significant inverse relationship between the frequency of chaplaincy interaction and perceived stress (r = - 0.27, p = 0.05). We also found a significant positive relationship between rated importance of having a chaplain at the hospital and secondary trauma (r = 0.30, p = 0.03). There was a significant positive relationship between religiosity and rated importance for having a chaplain (r = 0.30, p = 0.03) and rated helpfulness of chaplains (r = 0.32, p = 0.02). Similarly, there was a significant positive relationship between spirituality and average length of conversations with a chaplain, rated importance for having a chaplain, and helpfulness of chaplains (r = 0.32, p = 0.03; r = 0.44, p = 0.001; and r = 0.52, p = 0.0001, respectively). Interaction with chaplains is associated with decreased employee perceived stress for nursing staff who provide care for severely ill patients.

Quality metrics of warfarin initiation in hospitalized older adults.

Achieving therapeutic international normalized ratio (INRs) in warfarin naïve older adults can be complicated due to sensitivity factors. While multiple tools exist for warfarin initiation in the outpatient setting, there is a dearth of guidance for inpatient initiation. This study aims to: (1) describe a large health system's initiation warfarin quality metrics in older inpatients, defined by INR overshoots greater than or equal to 5.0; (2) identify intrinsic and extrinsic patient factors associated with overshoots; and (3) explore the association between inpatient overshoots and clinical outcomes. Data on inpatients ≥ 65 years initiated on warfarin 1/1/2014-6/30/2016 were extracted through retrospective chart review. The primary outcome was prevalence of overshoots (INR ≥ 5). Logistic regression modeling determined the risk factors for overshoots. Multivariate analysis was employed to associate overshoots with length of stay (LOS), bleeding, and mortality. Additional analysis of the impact of patient weight (kg) on overshoots was achieved through chi square analysis. Of 4556 inpatients initiated on warfarin, 8% experienced overshoots. Non-black race, peripheral vascular disease, chronic obstructive pulmonary disease (COPD), mild liver disease, low weight, and no statin use were found to be predictive of overshoots. Compared to the group without overshoots, the group with overshoots experienced a significantly increased LOS (13 days vs. 8 days, < 0.001), higher bleed rate (30.1% vs. 6.5%, adjusted OR 6.2, p < 0.001), and higher mortality rate (13.8% vs. 3.4%, adjusted OR 4.4, p < 0.001). Inpatient warfarin initiation was associated with frequent overshoots and poor outcomes. Future studies should focus on strategies to improve hospital warfarin initiation safety.

Assessment of warfarin algorithms for hospitalized adults: searching for a safe dosing strategy.

This study evaluates three warfarin dosing algorithms (Kimmel, Dawson, High Dose ≥ 2.5 mg) for hospitalized older adults. A random selection of 250 patients with overshoots (INR ≥ 5 after 48 h of hospitalization) and 250 patients without overshoots were accessed from a database of 12,107 inpatients ≥ 65 years treated with chronic warfarin during hospitalization between January 1, 2014 and June 30, 2016. Algorithms were retrospectively applied to patients 2 days prior to overshoots in the overshoot group, and 2 days prior to the maximum INR reached after 48 h of hospitalization in the non-overshoot group. Patients were categorized as overdosed or not overdosed and compared using descriptive statistics. Logistic regression modeling determined predictors for overshoots. There was no significant difference between overdose and non-overdose groups for progressing to overshoots by the Kimmel (51.0% vs. 48.7%, p = 0.67) or Dawson (48.5 vs. 57.9%, p = 0.19) algorithms. The Low Dose Group (≤ 2.5 mg) was significantly more likely to experience an overshoot than the High Dose Group (56.6% vs. 45.5%, p = 0.04). The Low Dose Group was more likely to be older (81.4% vs. 71.1%, p = 0.02), female (63.5% vs. 49.8%, p = 0.02), weigh less (71.3 ± 21.9 vs. 79 ± 23.1, p = 0.002), and be prescribed amiodarone (16.6% vs. 8.1%, p = 0.01). While none of the algorithms predicted overshoots in logistic regression modeling, weight over 70 kg and black race remained protective. The High Dose Algorithm revealed that providers appropriately gave lower doses to patients at highest risk for warfarin sensitivity. Future studies are needed to investigate tools for inpatient warfarin dosing in older adults.

"We just get paid for 12 hours a day, but we work 24": home health aide restrictions and work related stress.

BACKGROUND: Home-bound patients in New York State requiring long-term care services have seen significant changes to their benefits due to turmoil in the Managed Long Term Care (MLTC) market. While there has been research conducted regarding the effect of MLTC challenges on beneficiaries, the impact of MLTC regulatory changes on home health aides has not been explored. METHODS: Qualitative interviews were conducted with formal caregivers, defined as paid home health aides (HHAs) (n = 13) caring for patients in a home-based primary care program in the New York City metropolitan area. HHAs were asked about their satisfaction with the home based primary care program, their own job satisfaction, and whether HHA restrictions affect their work in any way. Interviews were audio-recorded, transcribed, and analyzed. RESULTS: Two main themes emerged: (1) Pay, benefits and hours worked and (2) Concerns about patient well-being afterhours. HHAs are working more hours than they are compensated for, experience wage stagnation and loss of benefits, and experience stress related to leaving frail clients alone after their shifts end. CONCLUSIONS: HHAs experience significant job-related stress when caring for frail elderly patients at home, which may have implications for both patient care and HHA turnover. As government bodies contemplate new policy directions for long-term care programs which rely on HHAs the impact of these changes on this vulnerable workforce must be considered.

Home Telemonitoring of Community-Dwelling Heart Failure Patients After Home Care Discharge.

Background: Home telemonitoring (HTM) is a promising approach to improve quality of life (QoL) and decrease hospital utilization. Methods: This randomized-controlled study followed 89 community-dwelling Medicare outpatients with heart failure (HF) after discharge from home care for 6 months. Patients were randomized to HTM or comprehensive outpatient management (COM). HTM received weekly (video) televisits with daily vital sign monitoring. COM was contacted weekly by telephone. Outcomes included emergency department (ED) and inpatient utilization and QoL. Results : Average age at enrollment was 81.4 for HTM and 84.9 for COM. Thirty-eight percent of HTM had ≥1 ED visit versus 60% of COM (p = 0.04), while 48% of HTM had ≥1 hospitalization versus 55% of COM (p = 0.47). Length of stay (LOS) (days) was 4.0 for HTM versus 7.4 for COM (p = 0.39). Costs were $38,990 for HTM versus $50,943 for COM (p = 0.91). QoL improved by -9.66 for HTM and -3.56 for COM (p = 0.02). Although HF-related utilization did not differ between groups, HTM patients who were highly adherent obtained better all-cause outcomes than those with low adherence. Conclusions: Significantly improved all-cause ED utilization, LOS, and QoL were found for HTM; other differences were not significant. More research is needed to determine how to best utilize this technology to improve patient outcomes.

A Randomized Controlled Trial Comparing Telehealth Self-Management to Standard Outpatient Management in Underserved Black and Hispanic Patients Living with Heart Failure.

Background:Although the American Heart Association promotes telehealth models to improve care access, there is limited literature on its use in underserved populations. This study is the first to compare utilization and quality of life (QoL) for underserved black and Hispanic heart failure (HF) patients assigned to telehealth self-monitoring (TSM) or comprehensive outpatient management (COM) over 90 days.Methods:This randomized controlled trial enrolled 104 patients. Outcomes included emergency department (ED) visits, hospitalizations, QoL, depression, and anxiety. Binary outcomes for utilization were analyzed using chi-square or Fisher's exact test. Poisson or negative binomial regression, repeated-measures analysis of variance, or generalized estimating equations were also used as appropriate.Results:Of 104 patients, 31% were Hispanic, 69% black, 41% women, and 72% reported incomes of <$10,000/year. Groups did not differ regarding binary ED visits (relative risk [RR] = 1.37, confidence interval [CI] = 0.83-2.27), hospitalization (RR = 0.92, CI = 0.57-1.48), or length of stay in days (TSM = 0.54 vs. COM = 0.91). Number of all-cause hospitalizations was significantly lower for COM (TSM = 0.78 vs. COM = 0.55; p = 0.03). COM patients reported greater anxiety reduction from baseline to 90 days (TSM = 50-28%; COM = 57-13%; p = 0.05).Conclusions:These findings suggest that TSM is not effective in reducing utilization or improving QoL for underserved patients with HF. Future studies are needed to determine whether TSM can be effective for populations facing health care access issues.

Measuring Functional Status in Hospitalized Older Adults Through Electronic Health Record Documentation.

OBJECTIVES: Hospitalization-associated disability affects up to 60% of older adults; however, standardized measures of function are not routinely used and documented. We sought to determine whether nursing documentation in electronic medical records can be used to determine mobility status and associated clinical outcomes. METHODS: A retrospective study of 2383 medical patients aged 75 years and older was conducted at a large academic tertiary hospital in New York. Mobility (low, intermediate, and high) was the primary variable of interest. Short-term clinical outcomes, including length of stay (LOS), discharge disposition, and readmissions, were the primary outcome variables. RESULTS: Average age and Charlson Comorbidity Index were 84.7 (range 74-107) and 6.46, respectively; 84.5% of patients were documented to have been ambulatory before admission. More than half (52.8%) of the subjects with in-hospital mortality were in the low mobility group (27.2 vs 0.27 vs 0, P < 0.0001). Low mobility was associated with increased LOS (7.42 vs 5.69 vs 4.14, P < 0.0001), discharge to a skilled nursing facility (39.36 vs 14.67 vs 1.91, P < 0.0001), and 30-day readmission (24.40 vs 16.67 vs 10.93, P < 0.0001). After controlling for demographics, ambulatory status before admission, and Charlson Comorbidity Index, low mobility was statistically significantly associated with increased LOS, discharge to a skilled nursing facility, and 30-day readmissions. CONCLUSIONS: The use of documented nursing observation may provide a practical way to systematically identify patients at risk for poor outcomes associated with low mobility to ultimately improve outcomes of hospitalized older adults.